{"id":"W4399117220","doi":"10.1117/12.3027020","title":"Use of microsimulation modeling for research in breast cancer screening","year":2024,"lang":"en","type":"article","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Microsimulation; Computer science; Breast cancer; Econometrics; Risk analysis (engineering); Cancer; Medicine; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007910049,0.001340238,0.001323423,0.001575104,0.0007522979,0.001781293,0.001905558,0.0018946,0.004108628],"category_scores_gemma":[0.02650581,0.0009159179,0.002488453,0.001385894,0.001676076,0.001808155,0.001875541,0.002217421,0.0004928182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003240838,"about_ca_system_score_gemma":0.003306238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01474805,"about_ca_topic_score_gemma":0.009130852,"domain_scores_codex":[0.99599,0.003057579,0.0001300419,0.0003228626,0.0003241231,0.0001753938],"domain_scores_gemma":[0.9781711,0.01860894,0.001474329,0.0007684692,0.0007084435,0.0002687658],"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":[0.00003725343,0.00003720067,0.001149605,0.0001129654,0.0001088379,0.00005220443,0.00008488627,0.8838368,0.0002743187,0.1072688,0.0006435171,0.006393656],"study_design_scores_gemma":[0.00002759359,0.00005961609,0.000211812,0.00005404048,0.00004535742,0.00002267234,0.00002790989,0.9087406,0.0002621023,0.08717733,0.003348821,0.00002214072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007882897,0.0008467395,0.9830589,0.001590001,0.0001969744,0.0001756558,0.0002795985,0.0002737195,0.005695419],"genre_scores_gemma":[0.4687276,0.004241829,0.511219,0.001454522,0.0004152996,0.002990234,0.0006924272,0.0003781557,0.009881038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01474805,"threshold_uncertainty_score":0.0418328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5516300401866746,"score_gpt":0.5219414703811407,"score_spread":0.02968856980553392,"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."}}