{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002173609,0.0001742817,0.0004396673,0.0003841664,0.00003690692,0.00001856306,0.0001007838,0.00008986569,0.006564854],"category_scores_gemma":[0.0001188143,0.0001277241,0.00004842653,0.001093139,0.00008104733,0.00005811239,0.00004200508,0.0002848643,0.0001638667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000556028,"about_ca_system_score_gemma":0.0001932185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004165151,"about_ca_topic_score_gemma":0.001202796,"domain_scores_codex":[0.9986461,0.0000292238,0.0002659724,0.0003975334,0.0003852194,0.0002759094],"domain_scores_gemma":[0.9993594,0.0001530621,0.00002772712,0.0001686327,0.00006032999,0.0002309011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002866855,0.00007783098,0.5444374,0.0007163173,0.0001736761,0.0002947339,0.002736355,0.00003191701,0.005141946,0.00003286631,0.06505039,0.3784397],"study_design_scores_gemma":[0.002410431,0.004862238,0.8038529,0.0123673,0.0003036224,0.00004304575,0.0001312171,0.002430405,0.004272744,0.0001108961,0.1688044,0.0004107559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529236,0.02229072,0.00004779483,0.02061305,0.001240981,0.0004674939,0.00002298008,0.000212561,0.002180825],"genre_scores_gemma":[0.9881911,0.001544071,0.00002414762,0.001383615,0.001343249,0.001770583,0.000006072646,0.00002737667,0.005709784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.378029,"threshold_uncertainty_score":0.9943433,"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."}}