{"id":"W7037496675","doi":"","title":"Effects of being uninsured or underinsured and living in high poverty neighborhoods on colon cancer care and survival in California: historical cohort analysis, 1996—2011","year":2012,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; University of Southern California; Canadian Institutes of Health Research; Centers for Disease Control and Prevention; University of Windsor; California Department of Public Health","keywords":"Poverty; Underinsured; Medicaid; Colorectal cancer; Health care; Socioeconomic status; Cancer registry; Cancer; Cohort","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00126688,0.0002641892,0.0002991756,0.001094289,0.0009081747,0.0008998356,0.0007545566,0.0003735552,0.001633894],"category_scores_gemma":[0.002280304,0.0005924132,0.0006829753,0.001778829,0.0003561353,0.0005253326,0.0007094991,0.0007704599,0.0001790698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256743,"about_ca_system_score_gemma":0.00134236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2702717,"about_ca_topic_score_gemma":0.3607719,"domain_scores_codex":[0.9993729,0.00009571651,0.00006675612,0.0002280673,0.0001154469,0.0001211686],"domain_scores_gemma":[0.9971846,0.0002931916,0.001227931,0.0003701135,0.0004825922,0.0004414662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006534867,0.00001619855,0.9987622,0.00001224843,0.0001191652,0.00002442731,0.00006261805,0.00004341357,0.00002146428,0.00001350631,0.0003800979,0.0004793274],"study_design_scores_gemma":[0.000004266706,0.00001647609,0.9993941,0.00001073132,0.00005648708,0.00003850802,0.0001025391,0.00005916996,0.00001024269,0.000005019584,0.0003000385,0.000002406416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924278,0.000991008,0.00007512749,0.00009225589,0.00001587298,0.00001829424,0.005579579,0.000008340751,0.000791758],"genre_scores_gemma":[0.9948114,0.0006240141,0.0001053785,0.00003601016,0.00001851383,0.0000200814,0.004029382,0.000004909552,0.0003503042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2702717,"threshold_uncertainty_score":0.537397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838043931078826,"score_gpt":0.2190676358848445,"score_spread":0.2006871965740563,"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."}}