{"id":"W4248871559","doi":"10.1503/cmaj.1041682","title":"Corrections","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"F. Hoffmann-La Roche","keywords":"Computer science; Data science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006866092,0.001908638,0.001322359,0.005146277,0.003683808,0.004496789,0.003873829,0.003909118,0.1220421],"category_scores_gemma":[0.1734711,0.0009077226,0.00163453,0.002962827,0.002187287,0.003469798,0.002692601,0.008360237,0.06948376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005335238,"about_ca_system_score_gemma":0.006255545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622887,"about_ca_topic_score_gemma":0.01604836,"domain_scores_codex":[0.9853533,0.002873608,0.002080052,0.00166847,0.007030976,0.0009936137],"domain_scores_gemma":[0.8094436,0.02498204,0.006648364,0.00974006,0.146104,0.003081923],"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":[0.00002792424,0.000004918164,0.00008090609,0.00006159668,0.000005227924,0.00008968412,0.00008514499,0.00002105234,0.0000610277,0.002025054,0.9908742,0.006663271],"study_design_scores_gemma":[0.00001357769,0.0000107865,0.0004130897,0.0001787786,0.00001200229,0.0002227088,0.0001247258,0.00008701338,0.0001983792,0.001627342,0.9970903,0.00002128135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005299628,0.001282218,0.002254015,0.1237512,0.854319,0.0001136407,0.002670716,0.001195358,0.01388384],"genre_scores_gemma":[0.02850636,0.004927961,0.01238965,0.1293323,0.3206756,0.0005357567,0.006561338,0.003846116,0.4932249],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1220421,"threshold_uncertainty_score":0.4082714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711083537474452,"score_gpt":0.2991013804048039,"score_spread":0.2819905450300594,"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."}}