{"id":"W2509401408","doi":"10.15562/tcp.23","title":"Epidemiological Perspective of Breast Cancer Risk Factors in Qazvin, Iran","year":2016,"lang":"en","type":"article","venue":"The Cancer Press","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Epidemiology; Breast cancer; Perspective (graphical); Environmental health; Medicine; Oncology; Internal medicine; Cancer; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0005382664,0.0001995643,0.0002195055,0.001905121,0.000409693,0.0006447337,0.0002093493,0.0003188566,0.001824562],"category_scores_gemma":[0.0007626056,0.0001704954,0.0003798056,0.002693611,0.0002132268,0.0003311485,0.0002855479,0.0005358015,0.0001510922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007154553,"about_ca_system_score_gemma":0.00160513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03566577,"about_ca_topic_score_gemma":0.04903648,"domain_scores_codex":[0.9997439,0.00007879279,0.0000294087,0.00003745258,0.00005362727,0.00005674344],"domain_scores_gemma":[0.9997134,0.00006863514,0.0000849213,0.000009532813,0.00008549255,0.00003803773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006629195,0.00008102933,0.9840485,0.0001335108,0.0001587346,0.0002888282,0.000626887,0.0001330184,0.0003719133,0.0009986706,0.001575108,0.01151745],"study_design_scores_gemma":[0.000007757414,0.00005240758,0.9919431,0.00007736828,0.0001251713,0.0004560584,0.00256671,0.000200625,0.00005962761,0.0003446155,0.00415814,0.000008545469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457346,0.03168515,0.0006623249,0.01089008,0.0002287291,0.0000314918,0.003489214,0.00001578438,0.007262641],"genre_scores_gemma":[0.9900748,0.007563042,0.0003191395,0.0004676801,0.0001990809,0.00001217784,0.0006953477,0.000001960976,0.0006667296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03566577,"threshold_uncertainty_score":0.0709163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279756161051835,"score_gpt":0.3904968850350313,"score_spread":0.2625212689298478,"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."}}