Matches in Nanopublications for { ?s <https://w3id.org/np/o/ntemplate/hasLabelFromApi> ?o ?g. }
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- Q446911 hasLabelFromApi "biological invasion - process in which organisms become established in a region where they previously did not exist and then rapidly expand their range" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- FIP.21.T.1 hasLabelFromApi "FIP.21.T.1 | Training for FIP Facilitators - by Juliana Menger" pubinfo.
- Q116709136 hasLabelFromApi "GPT-4 - OpenAI multimodal large language model" pubinfo.
- Q1156402 hasLabelFromApi "reasoning - type of thought and capacity of consciously making sense of things, applying logic, and adapting or justifying practices, institutions, and beliefs based on new or existing information" pubinfo.
- RAVEpTdLrX5XrhNl_gnvTaBcjRRSDu_hhZix8gu2HO7jI hasLabelFromApi "Template: Commenting on or evaluating a paper (using CiTO) - Such a nanopublication includes a text that refers to an existing paper or ot..." pubinfo.
- RAqBzkF9Ynpngp16zOX7NdDpWiNpsJdtPlt946tSmwgiA hasLabelFromApi "Template: Expressing a scientific relation between two classes - <p>Such nanopublications express a causal (e.g. "A causes B"), spatio-tempora..." pubinfo.
- Q83267 hasLabelFromApi "crime - single occurrence of unlawful act forbidden and punishable by criminal law" pubinfo.
- RAn0gvGnriPVVIes27pRmyCzVVQk5cKbjiQNu9phlpCjE hasLabelFromApi "Template: Introducing a new idea" pubinfo.
- RA0SpJLtUxah49JxD-BQ64FjPw_0VqaBeYY3jMtIPZUVc hasLabelFromApi "Template: Expressing that two things are connected" pubinfo.
- Q83058 hasLabelFromApi "electronic spam - unsolicited electronic messages, especially advertisements" pubinfo.
- Q653347 hasLabelFromApi "hate speech - speech that expresses hatred towards individuals or groups" pubinfo.
- M4M.29.T.2 hasLabelFromApi "M4M.29.T.2 | M4M Vocabulary Training for PARC 2 - by Dirk Devriendt" pubinfo.
- M4M.29.T.2 hasLabelFromApi "M4M.29.T.2 | M4M Vocabulary Training for PARC 2 - by Dirk Devriendt" pubinfo.
- M4M.29.T.2 hasLabelFromApi "M4M.29.T.2 | M4M Vocabulary Training for PARC 2 - by Dirk Devriendt" pubinfo.
- M4M.29.T.2 hasLabelFromApi "M4M.29.T.2 | M4M Vocabulary Training for PARC 2 - by Dirk Devriendt" pubinfo.
- M4M.29.T.2 hasLabelFromApi "M4M.29.T.2 | M4M Vocabulary Training for PARC 2 - by Dirk Devriendt" pubinfo.
- M4M.29.T.2 hasLabelFromApi "M4M.29.T.2 | M4M Vocabulary Training for PARC 2 - by Dirk Devriendt" pubinfo.
- Q86 hasLabelFromApi "headache" assertion.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache - pain in the head or neck" pubinfo.
- Q194290 hasLabelFromApi "dehydration" assertion.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration - deficit of total body water" pubinfo.
- worldfair_project_communities hasLabelFromApi "WorldFAIR Project Communities - by (unknown)" pubinfo.
- worldfair_project_communities hasLabelFromApi "WorldFAIR Project Communities - by (unknown)" pubinfo.
- Q25834677 hasLabelFromApi "Aeromicrobium erythreum" pubinfo.
- Q213511 hasLabelFromApi "erythromycin" pubinfo.
- Q1003030 hasLabelFromApi "test way of checking something for quality or attributes" pubinfo.
- Q1003030 hasLabelFromApi "test - way of checking something for quality or attributes" pubinfo.
- Q1003030 hasLabelFromApi "test - way of checking something for quality or attributes" pubinfo.
- Q1003030 hasLabelFromApi "test - way of checking something by interacting with it" pubinfo.
- Q1003030 hasLabelFromApi "test - activity of interacting with something to learn about its attributes" pubinfo.
- Q50817870 hasLabelFromApi "Quantum -- the open journal for quantum science - Academic journal published by Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften , covering the subjects: Science: Physics: General" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.