{"id":"W2068930464","doi":"10.1002/cncr.26034","title":"Association of area sociodemographic characteristics and capacity for treatment with disparities in colorectal cancer care and mortality","year":2011,"lang":"en","type":"article","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Ontario Institute for Cancer Research","funders":"American Cancer Society","keywords":"Medicine; Colorectal cancer; Odds ratio; Demography; Confidence interval; Gerontology; Cancer; Epidemiology; Odds; Health care; Receipt; Logistic regression; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005877054,0.00008929281,0.0002651828,0.0000303066,0.00003398918,0.000005141057,0.00001581831,0.00006536768,0.0000157406],"category_scores_gemma":[0.00001400698,0.00006873153,0.00002687468,0.00005950691,0.00008673479,0.00005467255,0.000006392167,0.00004052597,2.375888e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000317859,"about_ca_system_score_gemma":0.00009930957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01087811,"about_ca_topic_score_gemma":0.02004384,"domain_scores_codex":[0.9994876,0.00001079881,0.0001229546,0.0001415197,0.00009888593,0.0001382513],"domain_scores_gemma":[0.9996444,0.0000242618,0.0001010164,0.0000469331,0.0001328168,0.00005056385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003175548,0.0000194017,0.9914696,0.0001695445,0.0001096416,0.000001957524,0.002584265,3.985233e-7,0.0003072662,0.00003318686,0.00002316238,0.004963985],"study_design_scores_gemma":[0.001158774,0.0005179361,0.9949316,0.0002064328,0.0002539702,0.000001420231,0.0005072513,0.00004517664,0.002151111,0.00004683554,0.0001041238,0.00007537561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967874,0.002273033,0.00001701384,0.0000779652,0.00004857457,0.0003261493,0.0003276126,0.000007675285,0.0001345765],"genre_scores_gemma":[0.9973302,0.00203615,0.0002378336,0.00006734433,0.00004106217,0.0002416823,0.00001366143,0.00000646534,0.00002563861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009165728,"threshold_uncertainty_score":0.9978378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011618908904818,"score_gpt":0.3222519499791703,"score_spread":0.2210900590886886,"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."}}