{"id":"W4388833633","doi":"10.1097/sla.0000000000006156","title":"Residential Redlining, Neighborhood Trajectory, and Equity of Breast and Colorectal Cancer Care","year":2023,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Cancer Institute; National Institutes of Health; Dartmouth Cancer Center; Dartmouth College","keywords":"Medicine; Socioeconomic status; Disadvantage; Breast cancer; Demography; Colorectal cancer; Cohort; Cancer; Retrospective cohort study; Gerontology; Internal medicine; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000581976,0.0001136589,0.0001182589,0.0004729157,0.0005229281,0.0005023518,0.0003428874,0.0001771048,0.002353843],"category_scores_gemma":[0.002957082,0.0001001661,0.0002975321,0.0006104704,0.0002604453,0.0004223411,0.0008654403,0.000308411,0.0001158122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007119234,"about_ca_system_score_gemma":0.0007157653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02939074,"about_ca_topic_score_gemma":0.05070611,"domain_scores_codex":[0.9996486,0.00009337878,0.00002606217,0.00009620082,0.00006127955,0.00007451568],"domain_scores_gemma":[0.9985995,0.0001641785,0.000823016,0.0001171035,0.0001382077,0.0001579858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003587749,0.00001444363,0.9978572,0.000005059746,0.00002401636,0.00001886767,0.0001023997,0.0001039325,0.00004061298,0.0001213849,0.00009706767,0.001579157],"study_design_scores_gemma":[0.000001805696,0.00003112053,0.9986019,0.0000148529,0.00001267076,0.00007718016,0.0003792655,0.0004173949,0.00005558962,0.0000959575,0.0003096952,0.000002525418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984161,0.0001998464,0.0001930442,0.0001439521,0.000004785134,0.000007070547,0.0003928058,0.000002629989,0.0006398951],"genre_scores_gemma":[0.9995315,0.00005521589,0.00009246128,0.00001186331,0.000002688744,0.000004094718,0.0001938797,0.000001191929,0.0001071341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02939074,"threshold_uncertainty_score":0.05843937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3283991751880138,"score_gpt":0.4343322014068703,"score_spread":0.1059330262188565,"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."}}