{"id":"W4401290309","doi":"10.1002/cam4.6999","title":"Income differences in time to colon cancer diagnosis","year":2024,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University; Institute for Clinical Evaluative Sciences","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canadian Centre for Applied Research in Cancer Control","keywords":"Medicine; Percentile; Colorectal cancer; Colonoscopy; Emergency department; Confidence interval; Household income; Fecal occult blood; Cancer; Demography; Pediatrics; Internal medicine; Statistics","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":[0.0003637839,0.0001000605,0.0001407877,0.0004714873,0.0003764963,0.0004419783,0.0003380413,0.000179209,0.003583606],"category_scores_gemma":[0.002748777,0.00009912455,0.000277586,0.0008195915,0.0002996249,0.0002366127,0.0004290279,0.0003184273,0.0001850046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486363,"about_ca_system_score_gemma":0.001067503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1588588,"about_ca_topic_score_gemma":0.1503469,"domain_scores_codex":[0.9996104,0.00004668442,0.00002754294,0.00009348989,0.0001060924,0.0001159369],"domain_scores_gemma":[0.9982658,0.0002095113,0.001091739,0.00005810738,0.000138037,0.0002368796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003981669,0.000008546471,0.9984689,0.000008223702,0.00002489057,0.00004044703,0.00007823965,0.00006682977,0.00003544032,0.00006103535,0.0001306235,0.001037089],"study_design_scores_gemma":[0.000001478617,0.00000812441,0.9995595,0.000005414574,0.00000717951,0.00003244444,0.00007489017,0.000112998,0.0000147572,0.00003505766,0.0001468845,0.000001082066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961728,0.0002869742,0.0001363782,0.0002372061,0.000006234326,0.00000811204,0.001689477,0.000007443026,0.00145545],"genre_scores_gemma":[0.9993585,0.00005591081,0.00003305238,0.00001125912,0.000002950109,0.00000274766,0.0004124546,9.74032e-7,0.0001221522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588588,"threshold_uncertainty_score":0.3158683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874103733115699,"score_gpt":0.3294357015940873,"score_spread":0.3006946642629303,"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."}}