{"id":"W2133629307","doi":"10.1503/cmaj.100897","title":"Accuracy of administrative claims data for polypectomy","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Polypectomy; Colonoscopy; Concordance; Confidence interval; Population; Retrospective cohort study; Quality assurance; Endoscopy; Database; Colorectal cancer; General surgery; Surgery; Internal medicine; Cancer; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009839117,0.000067387,0.0001916747,0.0001171326,0.0001050293,0.00001324037,0.0001800458,0.0001985606,0.001656322],"category_scores_gemma":[0.003592052,0.000059458,0.00007017499,0.0001535854,0.00002960472,0.0001148378,0.00001432496,0.0003962603,0.00001001036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689037,"about_ca_system_score_gemma":0.004478292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147065,"about_ca_topic_score_gemma":0.02297989,"domain_scores_codex":[0.9987442,0.00004590298,0.0003082554,0.0001265481,0.0005441031,0.0002309703],"domain_scores_gemma":[0.998126,0.0001964179,0.0002503681,0.0001642185,0.0003965255,0.0008664569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003256279,0.0002492413,0.1403212,0.0001098545,0.00104593,0.0004020264,0.002696094,3.400239e-7,0.0001914525,0.001033557,0.3165849,0.5341091],"study_design_scores_gemma":[0.007395186,0.005719329,0.3068303,0.0004081751,0.0004066992,0.00205723,0.00258556,0.001976262,0.002668444,0.001362393,0.6681741,0.0004163252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714476,0.001358832,0.01119053,0.03807634,0.004644677,0.001546123,0.0009904542,0.0001119412,0.07063356],"genre_scores_gemma":[0.9960269,0.0000397834,0.001277165,0.001414266,0.0009293167,0.000006364542,0.00003473627,0.000009577136,0.0002619187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5336928,"threshold_uncertainty_score":0.9992563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09156113076402629,"score_gpt":0.3435191402796894,"score_spread":0.2519580095156632,"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."}}