{"id":"W2051847847","doi":"10.1016/j.ijmedinf.2011.02.006","title":"Implications of SNOMED CT versioning","year":2011,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"SNOMED CT; Systematized Nomenclature of Medicine; Terminology; Documentation; Computer science; Hierarchy; Information retrieval; Component (thermodynamics); Medicine; Programming language; Linguistics","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":[0.03111462,0.0009485124,0.0008700549,0.006514921,0.002357991,0.009923981,0.004105862,0.003063261,0.007930262],"category_scores_gemma":[0.2090972,0.0007324216,0.001442069,0.009104835,0.004524712,0.01533644,0.003208456,0.003912864,0.001347418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352561,"about_ca_system_score_gemma":0.005737347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220716,"about_ca_topic_score_gemma":0.008542097,"domain_scores_codex":[0.9649993,0.01854066,0.003380292,0.002827538,0.009389535,0.0008627166],"domain_scores_gemma":[0.7074476,0.2156151,0.01110618,0.03285659,0.03072358,0.002250967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00243238,0.0005003389,0.06972437,0.001667601,0.000668155,0.005869772,0.008507772,0.02321351,0.00822691,0.4625705,0.03745781,0.379161],"study_design_scores_gemma":[0.0002156741,0.0002175274,0.0170904,0.001582577,0.001073555,0.007783181,0.005087119,0.05674149,0.009249456,0.8006128,0.1000826,0.0002637429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3360647,0.01132581,0.400604,0.1270281,0.004529919,0.0009486116,0.01764535,0.003927601,0.09792582],"genre_scores_gemma":[0.7717196,0.003092988,0.2044129,0.006562015,0.001089018,0.0001956923,0.007009887,0.001361092,0.004556705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03111462,"threshold_uncertainty_score":0.1645518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03779408847711671,"score_gpt":0.3230748838283148,"score_spread":0.2852807953511981,"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."}}