{"id":"W3164966020","doi":"10.3233/shti210182","title":"OCRx: Canadian Drug Ontology","year":2021,"lang":"en","type":"book-chapter","venue":"Studies in health technology and informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Ontology; Interoperability; Usability; Computer science; World Wide Web; Identification (biology); Product (mathematics); Drug; Medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00120107,0.001022731,0.0004113366,0.006452912,0.002738051,0.004673102,0.001851975,0.001277777,0.04211476],"category_scores_gemma":[0.002218002,0.0004749433,0.0005582492,0.009275473,0.001783619,0.004053468,0.001916892,0.001653418,0.01447034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03045623,"about_ca_system_score_gemma":0.03380745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7362394,"about_ca_topic_score_gemma":0.826562,"domain_scores_codex":[0.9986364,0.00007570132,0.00004902517,0.0001479279,0.0009641862,0.0001267287],"domain_scores_gemma":[0.9986606,0.0001995079,0.00004137278,0.0001131276,0.0008442957,0.0001411055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001972771,0.00001631021,0.0002443453,0.0003693682,0.000006222704,0.0001508715,0.0006985787,0.001002069,0.001565812,0.2718984,0.586422,0.1376062],"study_design_scores_gemma":[9.096322e-7,7.23446e-7,0.00007581801,0.00003009104,0.000001177975,0.00004533038,0.00003172112,0.0001720594,0.000150172,0.001563604,0.9979236,0.00000479634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002523053,0.01103832,0.09279697,0.01049069,0.001672528,0.0004347171,0.03338694,0.008232,0.8394247],"genre_scores_gemma":[0.02341156,0.01807202,0.213806,0.004436634,0.0003405497,0.0003431893,0.05744246,0.005371088,0.6767765],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7362394,"threshold_uncertainty_score":0.5306278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501046525541415,"score_gpt":0.3248463672579481,"score_spread":0.289835902002534,"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."}}