{"id":"W4392952035","doi":"10.17269/s41997-024-00868-8","title":"The projected health and economic impact of increased colorectal cancer screening participation among Canadians by income quintile","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Partnership Against Cancer; Alberta Health Services; University of Calgary","funders":"","keywords":"Socioeconomic status; Medicine; Demography; Household income; Incidence (geometry); Colorectal cancer; Environmental health; Gerontology; Cancer; Geography; Population; Internal medicine","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":[0.001161057,0.0006575001,0.0003519585,0.0009106949,0.001058737,0.001145626,0.00106907,0.0007332244,0.006629045],"category_scores_gemma":[0.003539354,0.0002708459,0.001500451,0.001474925,0.0004002763,0.0004971222,0.0009315787,0.0008254793,0.0003998154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02133304,"about_ca_system_score_gemma":0.02613167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9444773,"about_ca_topic_score_gemma":0.9144055,"domain_scores_codex":[0.9992446,0.000117996,0.00001702485,0.00004927667,0.0001706882,0.0004003948],"domain_scores_gemma":[0.9989249,0.0001430255,0.0001167417,0.00002583827,0.0005097488,0.0002796951],"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":[0.0009673748,0.0002504255,0.3800662,0.0005770785,0.0008762734,0.000707173,0.0002536888,0.5018508,0.001498049,0.01980672,0.04232664,0.05081962],"study_design_scores_gemma":[0.0005275549,0.0005464626,0.4951121,0.0005586086,0.001284621,0.0006838559,0.002001642,0.4513729,0.001272107,0.01046413,0.0359621,0.0002138901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778518,0.002569075,0.006646616,0.01221485,0.0002186268,0.000253787,0.06179876,0.0002192796,0.03822721],"genre_scores_gemma":[0.9825017,0.001316952,0.002595205,0.0005715705,0.00003014382,0.00008363588,0.009537724,0.00001476947,0.003348318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05552274,"threshold_uncertainty_score":0.1547828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321930958877894,"score_gpt":0.3381699345682114,"score_spread":0.305976838680422,"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."}}