{"id":"W2481965157","doi":"10.1177/0272989x16660711","title":"Using Simulation to Model and Validate Invasive Breast Cancer Progression in Women in the Study and Control Groups of the Canadian National Breast Screening Studies I and II","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada","keywords":"Medicine; Breast cancer; Mammography; Cancer; Breast cancer screening; Gerontology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01062075,0.00101326,0.0009296909,0.001286577,0.00110137,0.001114653,0.001640687,0.00127566,0.001539079],"category_scores_gemma":[0.02815629,0.0006026771,0.001637028,0.001270811,0.000891921,0.0005220374,0.0007608519,0.001388908,0.0001590511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01263098,"about_ca_system_score_gemma":0.01492454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8147327,"about_ca_topic_score_gemma":0.6643131,"domain_scores_codex":[0.9977496,0.001250557,0.00008254038,0.0002936881,0.0002535642,0.0003700233],"domain_scores_gemma":[0.9826916,0.0127676,0.001312717,0.000747989,0.001973967,0.000506148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005916469,0.0001883656,0.1128404,0.00008534398,0.0004036317,0.0001126064,0.0003128584,0.872102,0.0001996177,0.004603725,0.001217133,0.007342829],"study_design_scores_gemma":[0.0001522385,0.0001038184,0.01425631,0.00003235402,0.0001008109,0.00001966578,0.00009645264,0.9825976,0.0001526295,0.001734971,0.0007233634,0.00002967392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560787,0.0008180577,0.03434584,0.001214601,0.00009593619,0.0005153244,0.003378177,0.0002436945,0.003309635],"genre_scores_gemma":[0.9825978,0.0003356478,0.01238303,0.0002056203,0.00001590872,0.0003283,0.003161585,0.00002348073,0.0009486705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852673,"threshold_uncertainty_score":0.3727168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309658163641638,"score_gpt":0.4384319024398323,"score_spread":0.3074660860756685,"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."}}