{"id":"W4240203605","doi":"10.1200/jco.2011.29.4_suppl.511","title":"Associations between county-level surgeon density and colorectal cancer (CRC) mortality.","year":2011,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Colorectal cancer; Demography; Incidence (geometry); Socioeconomic status; Mortality rate; Population; Cancer; Gerontology; Demographics; Internal medicine; Environmental health","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":[0.002959635,0.0001103168,0.001419465,0.00007487602,0.00006139166,0.000005447529,0.00009075837,0.0003882325,0.0004118163],"category_scores_gemma":[0.001821336,0.00008577899,0.0003013058,0.00008317235,0.0002235241,0.0001347848,0.00004162667,0.0008725362,0.000004947925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002692492,"about_ca_system_score_gemma":0.00246868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007325786,"about_ca_topic_score_gemma":0.001013031,"domain_scores_codex":[0.9973894,0.000278274,0.001680366,0.0001610099,0.0002871694,0.0002037744],"domain_scores_gemma":[0.9961435,0.001476045,0.001392007,0.000100591,0.0004824426,0.0004054186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007311787,0.0002713322,0.9553818,0.00001039321,0.0007002252,0.000169868,0.0001810373,3.151662e-7,0.00007592581,0.00004085691,0.003701308,0.03873579],"study_design_scores_gemma":[0.003441462,0.002182412,0.9808143,0.00002446064,0.0006867567,0.00005650168,0.00004300128,0.0000137357,0.0001848861,0.0002325124,0.01223633,0.00008367084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991919,0.0002558268,0.00005883567,0.001448941,0.00109764,0.0001235322,0.00008592143,0.000008115312,0.005002178],"genre_scores_gemma":[0.9942378,0.001082492,0.001118408,0.002251162,0.001127253,0.000001803584,0.0000106795,0.00001112952,0.0001592845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03865212,"threshold_uncertainty_score":0.45091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3425276109720428,"score_gpt":0.4770876392922603,"score_spread":0.1345600283202175,"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."}}