{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003520955,0.001589452,0.001321106,0.001966113,0.0005491734,0.002422633,0.004308297,0.001659701,0.008952895],"category_scores_gemma":[0.01683879,0.001279835,0.001845649,0.00412994,0.0003557529,0.002417449,0.0013329,0.002187357,0.003214907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358032,"about_ca_system_score_gemma":0.00504222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07730753,"about_ca_topic_score_gemma":0.04866475,"domain_scores_codex":[0.9984428,0.0008302921,0.0001197265,0.0001695349,0.0003305544,0.000107105],"domain_scores_gemma":[0.9954448,0.002535715,0.0003779779,0.0002982664,0.001120556,0.0002227861],"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":[0.0001605319,0.000121805,0.008046788,0.0005028024,0.0002929989,0.0002159907,0.0001339643,0.7767158,0.0002707059,0.03569527,0.06581316,0.1120302],"study_design_scores_gemma":[0.00009072455,0.00005115131,0.001047513,0.0004092103,0.0001349578,0.0001905957,0.00004411268,0.8117218,0.0003017028,0.02436659,0.1615555,0.00008611545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02950343,0.02856263,0.8059496,0.0202369,0.001767474,0.000954963,0.03842286,0.006731945,0.06787012],"genre_scores_gemma":[0.3659457,0.08387409,0.4391136,0.00440857,0.001956048,0.004777056,0.05805301,0.002749951,0.03912205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07730753,"threshold_uncertainty_score":0.1537151,"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."}}