{"id":"W4417201745","doi":"10.1158/1557-3265.earlyonsetca25-b034","title":"Abstract B034: Sex and Racial Disparities in Time to Treatment for Early-Onset Colorectal Cancer Across a Four-Level Rurality Classification in the United States","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rurality; Colorectal cancer; Incidence (geometry); Proportional hazards model; Cohort; Disadvantaged; Census; Health equity; Retrospective cohort study; Cohort study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000587946,0.0001397265,0.0001379618,0.0005320974,0.0003434955,0.0003919586,0.0003664321,0.000180611,0.00252508],"category_scores_gemma":[0.002038243,0.000126074,0.0004648743,0.001119859,0.0001615161,0.0002667588,0.0004983403,0.0003733473,0.0002021717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00047124,"about_ca_system_score_gemma":0.0007977335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04084991,"about_ca_topic_score_gemma":0.04521945,"domain_scores_codex":[0.9996605,0.00007639703,0.00003716855,0.0000898976,0.00005375848,0.00008223647],"domain_scores_gemma":[0.998507,0.0001689393,0.0009300944,0.00007894704,0.0001537051,0.0001613208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000562526,0.00002090057,0.9981142,0.000009845809,0.00003283446,0.00001365096,0.00005153278,0.00007286031,0.00005202049,0.00003241972,0.0004416135,0.001101744],"study_design_scores_gemma":[0.000006631975,0.00003066971,0.9989353,0.00001171335,0.00002754737,0.00003499776,0.0001725307,0.0003385686,0.00004739403,0.00003455159,0.0003577031,0.000002327545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993552,0.0001257134,0.0001763357,0.0001244492,0.000009213953,0.00001304903,0.005448827,0.000006901458,0.0005433768],"genre_scores_gemma":[0.9972101,0.00006459769,0.0001598154,0.00004088375,0.000007974381,0.00002415762,0.002172532,0.000003017758,0.0003169078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04084991,"threshold_uncertainty_score":0.08122432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3390432632187085,"score_gpt":0.5681588964899411,"score_spread":0.2291156332712326,"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."}}