{"id":"W4244224894","doi":"10.1503/cmaj.1041338","title":"Corrections","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006612069,0.001808736,0.001186621,0.005173802,0.004055406,0.005480116,0.003807749,0.00429236,0.2810207],"category_scores_gemma":[0.1395642,0.001068356,0.001888396,0.003413074,0.00220765,0.003052243,0.00267215,0.00834073,0.17318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005573507,"about_ca_system_score_gemma":0.00740039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02111331,"about_ca_topic_score_gemma":0.02173772,"domain_scores_codex":[0.9850318,0.002376651,0.002062125,0.001812635,0.007546021,0.001170856],"domain_scores_gemma":[0.8545867,0.01933335,0.005242744,0.01014586,0.1075758,0.003115611],"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":[0.00001410683,0.000003366778,0.00003395957,0.00004543244,0.000002575052,0.00005372997,0.00004402224,0.00001875286,0.00003203866,0.00123788,0.9929229,0.005591106],"study_design_scores_gemma":[0.00001650134,0.000009588773,0.0003608387,0.0001637182,0.000007970879,0.0001428569,0.00009342958,0.000055484,0.0001490092,0.001244634,0.9977374,0.00001844863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005624064,0.001101169,0.003201175,0.1472019,0.7895235,0.0002355688,0.008887731,0.003835398,0.04545107],"genre_scores_gemma":[0.01795193,0.002586376,0.01143835,0.0930737,0.09130105,0.0005843986,0.01268291,0.005664969,0.7647163],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2810207,"threshold_uncertainty_score":0.940108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479322943113069,"score_gpt":0.3991550188517705,"score_spread":0.3512227245404636,"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."}}