{"id":"W4234485921","doi":"10.1503/cmaj.051515","title":"What's Up, Doc?","year":2006,"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":"","keywords":"Computer science; Data science; World Wide Web; Text mining; Information retrieval; Natural language processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004654595,0.0007233704,0.0007697417,0.001689744,0.001497731,0.003885685,0.0009723734,0.001755573,0.7534998],"category_scores_gemma":[0.004495353,0.0003410763,0.0008114448,0.0009039174,0.0003551708,0.002981841,0.001552263,0.002294362,0.5918459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117328,"about_ca_system_score_gemma":0.001796425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01278393,"about_ca_topic_score_gemma":0.02556916,"domain_scores_codex":[0.9996916,0.00002605797,0.00001654117,0.00002553438,0.000171802,0.00006841662],"domain_scores_gemma":[0.9974298,0.0001683663,0.00008902061,0.00006996129,0.001376981,0.000865762],"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":[0.000007878928,0.000008216741,0.00002542935,0.00004300955,4.077639e-7,0.00001685609,0.000006202913,0.000004102359,0.00001542228,0.00004724495,0.9892251,0.01060009],"study_design_scores_gemma":[0.0000249077,0.00001655098,0.0007126411,0.0001937325,0.000003213323,0.00007357471,0.0001043452,0.0000173819,0.00006282169,0.0001920266,0.9985895,0.000009205977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0008269821,0.008162333,0.0005562212,0.08467696,0.1167231,0.0008633335,0.01633331,0.007142224,0.7647154],"genre_scores_gemma":[0.001660354,0.003081339,0.000416637,0.03411742,0.01186189,0.0002284239,0.002942652,0.00094448,0.9447468],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7534998,"threshold_uncertainty_score":0.3516026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440283404278502,"score_gpt":0.2931735543933073,"score_spread":0.2787707203505222,"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."}}