{"id":"W4308125169","doi":"10.3390/curroncol29110657","title":"Using Real-World Data to Determine Health System Costs of Ontario Women Screened for Breast Cancer","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Université Laval; Wilfrid Laurier University; University of Ottawa; Health Sciences Centre; Institut National de Santé Publique du Québec; Canada Research Chairs; University of Toronto; Sunnybrook Health Science Centre","funders":"Ministry of Long-Term Care; Canadian Institutes of Health Research; Ministry of Health, Ontario","keywords":"Medicine; Cohort; Breast cancer; Breast cancer screening; Demography; Cohort study; Total cost; Cancer; Gynecology; Mammography; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008960267,0.0004223812,0.0003228801,0.002648274,0.0007881697,0.001298703,0.0007265104,0.0004008468,0.001497333],"category_scores_gemma":[0.00803532,0.0003444755,0.0005552293,0.006328067,0.0003765966,0.0006154936,0.0005807129,0.0004279815,0.0001905764],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0287035,"about_ca_system_score_gemma":0.01172258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9643958,"about_ca_topic_score_gemma":0.9790181,"domain_scores_codex":[0.9986936,0.0001988099,0.0001430521,0.0001406944,0.0005480355,0.0002758144],"domain_scores_gemma":[0.9949465,0.0006900714,0.002245846,0.0001802141,0.001557831,0.0003795666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000115962,0.00004536605,0.9872808,0.0001329394,0.0002400439,0.00009375123,0.000193705,0.003791893,0.00006440466,0.0002994591,0.002817906,0.004923727],"study_design_scores_gemma":[0.00002109579,0.00002821045,0.9911499,0.00004147439,0.00005851856,0.00006231187,0.0003162449,0.005650364,0.00004083399,0.00008036249,0.00253701,0.00001369643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941141,0.001122669,0.0003988062,0.0007009166,0.00001397188,0.0001087644,0.05267398,0.00002090741,0.003818941],"genre_scores_gemma":[0.9765925,0.0006439475,0.0004226899,0.0000925608,0.00001502267,0.00006145549,0.02157448,0.000004817281,0.000592571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9712965,"threshold_uncertainty_score":0.2082594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5153774736539196,"score_gpt":0.5188844072380849,"score_spread":0.003506933584165317,"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."}}