{"id":"W2794157321","doi":"10.1177/0272989x17711927","title":"The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update","year":2018,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute","keywords":"Breast cancer; Epidemiology; Medicine; Computer science; Cancer; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001452648,0.0000765009,0.0002339591,0.00003928094,0.0002319323,0.000004588294,0.0002045737,0.0001275983,0.0008354628],"category_scores_gemma":[0.001158568,0.0000511813,0.00006011066,0.0001421737,0.0004396861,0.0000974245,0.00009669534,0.000175164,0.00002960311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006941053,"about_ca_system_score_gemma":0.0002259905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378314,"about_ca_topic_score_gemma":0.0005160818,"domain_scores_codex":[0.9986874,0.000117044,0.00027459,0.0002135339,0.0004875082,0.000219957],"domain_scores_gemma":[0.9984057,0.0007684495,0.0001238319,0.0002767108,0.0002484607,0.0001768603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00153858,0.00002608493,0.02505818,0.000009038507,0.00002651956,0.00003471408,0.0001799909,0.01464294,0.00003979974,0.001819649,0.005120292,0.9515042],"study_design_scores_gemma":[0.0004772194,0.0001112053,0.03523015,0.000518838,0.00003697284,0.00003304738,0.0001371421,0.950439,0.000006388111,0.006531879,0.006416854,0.00006127216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4341694,0.0004785951,0.5583594,0.006003018,0.0002978068,0.0001251331,0.00001126626,0.00003668698,0.0005186374],"genre_scores_gemma":[0.9908415,0.0001184805,0.006848361,0.001908726,0.0002362843,3.299648e-7,0.00000236089,0.000006382153,0.00003759417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.951443,"threshold_uncertainty_score":0.9147732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.130167244156741,"score_gpt":0.4439719947517315,"score_spread":0.3138047505949905,"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."}}