{"id":"W2021074129","doi":"10.1371/journal.pone.0154556","title":"The Ontology for Biomedical Investigations","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":385,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Biotechnology and Biological Sciences Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; Division of Biological Infrastructure; National Institute of General Medical Sciences; National Center for Advancing Translational Sciences; Agence Nationale de la Recherche; National Human Genome Research Institute; Engineering and Physical Sciences Research Council; National Institute on Drug Abuse; California Institute for Regenerative Medicine; National Institutes of Health; National Science Foundation","keywords":"Open Biomedical Ontologies; Ontology; Computer science; Process ontology; Data science; Upper ontology; Interoperability; Biological database; Ontology-based data integration; World Wide Web; Information retrieval; Semantic Web; Suggested Upper Merged Ontology; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01287346,0.001170882,0.001675437,0.008848258,0.00502627,0.01497984,0.003549149,0.007353626,0.01161697],"category_scores_gemma":[0.02067108,0.001099638,0.002950602,0.01099664,0.01126359,0.02117115,0.009409229,0.01084173,0.008312205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007992084,"about_ca_system_score_gemma":0.0204028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308201,"about_ca_topic_score_gemma":0.007374669,"domain_scores_codex":[0.9845879,0.005754573,0.002506776,0.001825364,0.004355446,0.0009699371],"domain_scores_gemma":[0.9798237,0.009188528,0.001488451,0.004265044,0.003802529,0.001431681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001192259,0.00001806461,0.0001497662,0.0003673799,0.00001827253,0.0001261271,0.0008311861,0.0002728074,0.0002961986,0.9149504,0.0456282,0.03732965],"study_design_scores_gemma":[0.000009057319,0.000005669174,0.0001977551,0.0004446465,0.00001118159,0.0002994059,0.000233088,0.0004547499,0.000126872,0.2357373,0.7624568,0.00002353934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002370153,0.03446032,0.4543953,0.08879756,0.008306142,0.001174162,0.009603845,0.004453502,0.396439],"genre_scores_gemma":[0.07069177,0.04936327,0.7131243,0.04030652,0.007542742,0.002967654,0.02262923,0.001988797,0.09138574],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01497984,"threshold_uncertainty_score":0.06808215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06034610189973234,"score_gpt":0.2676917707597481,"score_spread":0.2073456688600158,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}