{"id":"W2005192279","doi":"10.1016/j.cdp.2004.08.003","title":"Simulation modeling of change to breast cancer detection age eligibility recommendations in Ontario, 2002–2021","year":2004,"lang":"en","type":"article","venue":"Cancer Detection and Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Health Canada; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Breast cancer; Breast cancer screening; Incidence (geometry); Population; Markov model; Cancer; Stage (stratigraphy); Cancer registry; Gynecology; Medical physics; Mammography; Family medicine; Environmental health; Internal medicine; Markov chain; Computer science","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":[0.001106942,0.0005414651,0.000931002,0.0007156088,0.00132975,0.001287567,0.002195108,0.002148608,0.007975392],"category_scores_gemma":[0.006841876,0.0009188298,0.001310649,0.001295131,0.001138718,0.0006487009,0.0006918078,0.001122498,0.000438792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02506974,"about_ca_system_score_gemma":0.02190332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9741465,"about_ca_topic_score_gemma":0.9667727,"domain_scores_codex":[0.9994337,0.0001634261,0.00002640644,0.00008810966,0.00006685116,0.0002214872],"domain_scores_gemma":[0.9960096,0.001900758,0.0004226152,0.0001270639,0.001008159,0.0005318706],"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":[0.0005311482,0.0001873939,0.04130221,0.00004830174,0.0001271988,0.0001858234,0.0002004449,0.9467093,0.0002049998,0.003027196,0.005081723,0.00239421],"study_design_scores_gemma":[0.0004416097,0.0001343309,0.02444692,0.0000191391,0.000122296,0.00003275328,0.0005030021,0.9699131,0.0001657624,0.0008682656,0.003307833,0.00004487619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742154,0.0002264373,0.001733096,0.002991205,0.00006305875,0.0001034763,0.009030328,0.00009181856,0.01154503],"genre_scores_gemma":[0.9884979,0.0001429011,0.0009486072,0.0001410209,0.00001544412,0.0000814816,0.002837772,0.00001826473,0.007316593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02585351,"threshold_uncertainty_score":0.1818946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1831218515718434,"score_gpt":0.4105640080060408,"score_spread":0.2274421564341974,"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."}}