{"id":"W1989064899","doi":"10.1186/1472-6947-12-108","title":"Accuracy validation of adjuvant! online in Taiwanese breast cancer patients - a 10-year analysis","year":2012,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Internal medicine; Oncology; Cohort; Grading (engineering); Adjuvant; Adjuvant therapy; Proportional hazards model; Cohort study; Subgroup analysis; Cancer; Meta-analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.005858827,0.0003516932,0.0005214956,0.001036777,0.0002425529,0.0006647444,0.0005505025,0.000540285,0.0008161219],"category_scores_gemma":[0.01712807,0.0001919817,0.0006939698,0.0006765065,0.0003756443,0.0004133756,0.0006760142,0.0004071481,0.0003719321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056095,"about_ca_system_score_gemma":0.000483242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006532206,"about_ca_topic_score_gemma":0.004954822,"domain_scores_codex":[0.998634,0.0006103819,0.0002143948,0.0002364471,0.0001984004,0.0001061994],"domain_scores_gemma":[0.9853102,0.006799492,0.002901581,0.002149687,0.002137656,0.0007013942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003656963,0.00003742595,0.9940929,0.00001275953,0.000111296,0.00007103199,0.00007999896,0.0007453637,0.0001732713,0.00001165239,0.0001475653,0.004151136],"study_design_scores_gemma":[0.00004738864,0.0004458638,0.9816526,0.00002508541,0.0001853255,0.0004287873,0.0001797327,0.01577872,0.0006478751,0.00006041403,0.0005338035,0.00001433696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989523,0.0000973573,0.0002537982,0.00003834902,0.000006531253,0.000008774952,0.00043604,0.0000105523,0.0001962123],"genre_scores_gemma":[0.9987862,0.00003149546,0.0001352228,0.00001282355,0.000005862559,0.000009766633,0.0009482052,0.000002898498,0.00006759651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006532206,"threshold_uncertainty_score":0.03098482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754706409944339,"score_gpt":0.3338295822756285,"score_spread":0.3162825181761851,"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."}}