{"id":"W4239223488","doi":"10.1503/cmaj.1040382","title":"Corrections","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005014343,0.00005872647,0.00007120266,0.00005225803,0.0001968329,0.00003194351,0.0001407749,0.0003699824,0.0004846293],"category_scores_gemma":[0.001727705,0.00005269659,0.00006071332,0.00008845652,0.00004364935,0.000001721457,0.00001164214,0.0003439604,0.0001056481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987192,"about_ca_system_score_gemma":0.001923953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006741145,"about_ca_topic_score_gemma":0.01648751,"domain_scores_codex":[0.9990575,0.00004054989,0.0001529111,0.00009714888,0.0003822032,0.0002697225],"domain_scores_gemma":[0.9989372,0.00001342184,0.00005896036,0.0000636247,0.0001263046,0.0008005182],"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":[0.00001488271,0.00008266063,0.05100609,0.000004504453,0.0002350967,0.0003076619,0.0002142094,0.00006855206,0.001464542,0.0004921625,0.6734566,0.272653],"study_design_scores_gemma":[0.000555179,0.0000932718,0.008257959,0.00001361571,0.000005814561,0.0002885867,0.0001802483,0.00000506256,0.0003277489,0.0003599612,0.9898227,0.00008984039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755016,0.00122901,0.008478462,0.08703002,0.005462831,0.0001093274,0.00003265287,0.00004767273,0.02210841],"genre_scores_gemma":[0.9794707,0.0002459709,0.001025927,0.01403965,0.003027393,0.00000472486,0.00002115577,0.00001310916,0.002151406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3163661,"threshold_uncertainty_score":0.920042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006272678842282943,"score_gpt":0.2367707130361404,"score_spread":0.2304980341938575,"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."}}