{"id":"W4214863304","doi":"10.3390/curroncol29030136","title":"The OncoSim-Breast Cancer Microsimulation Model","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Public Health Ontario; University of Toronto; Statistics Canada; Canadian Partnership Against Cancer","funders":"","keywords":"Breast cancer; Medicine; Cancer registry; Population; Breast cancer screening; Cancer; Ductal carcinoma; Oncology; Incidence (geometry); Demography; Internal medicine; Mammography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007297129,0.0005903268,0.0004947424,0.0007241181,0.0006464281,0.000900493,0.00193109,0.0009228974,0.01000611],"category_scores_gemma":[0.003030034,0.0003427847,0.0009309097,0.0007611557,0.0005097358,0.0004941817,0.000741046,0.0007594628,0.0007139382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005401351,"about_ca_system_score_gemma":0.00798288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4294001,"about_ca_topic_score_gemma":0.2564063,"domain_scores_codex":[0.9995871,0.0001283953,0.00001389687,0.00006157759,0.00009107438,0.0001179216],"domain_scores_gemma":[0.9990069,0.0004383034,0.0001095767,0.0000467504,0.0002822738,0.00011629],"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":[0.00004883552,0.00001955386,0.001767642,0.00002903232,0.00002480845,0.00003680868,0.00003174953,0.9748333,0.0001660158,0.01747967,0.002827699,0.002734843],"study_design_scores_gemma":[0.00005016537,0.00002328894,0.000777941,0.00001468697,0.0000233114,0.00002127186,0.00002560626,0.9876646,0.0001242889,0.004426183,0.006833534,0.00001508221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.376966,0.002149818,0.3530578,0.007463535,0.0004718066,0.0009705886,0.03029632,0.002144537,0.2264795],"genre_scores_gemma":[0.9051064,0.001094398,0.05124101,0.0005075774,0.00006155811,0.000924514,0.005743403,0.0001915288,0.03512958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4294001,"threshold_uncertainty_score":0.8538014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.373549585537822,"score_gpt":0.5208954991273782,"score_spread":0.1473459135895562,"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."}}