{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03474936,0.0004548446,0.00080415,0.005699505,0.0004383359,0.002342396,0.001491463,0.0006544683,0.0008490563],"category_scores_gemma":[0.1926076,0.0004218396,0.001062657,0.006061445,0.0006620198,0.000871518,0.001300444,0.000729292,0.0003664197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608547,"about_ca_system_score_gemma":0.001956305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04740339,"about_ca_topic_score_gemma":0.0231675,"domain_scores_codex":[0.9399389,0.02384154,0.009577875,0.005689931,0.0194538,0.001497969],"domain_scores_gemma":[0.7297694,0.1324946,0.08138093,0.02412196,0.03076022,0.001472845],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001852419,0.00001875164,0.9884101,0.0001340425,0.0004136809,0.00004305814,0.000167459,0.001081784,0.0001211052,0.0001576105,0.0009592069,0.008307957],"study_design_scores_gemma":[0.00002234949,0.00005325377,0.9895935,0.0002208697,0.0002117371,0.0002162254,0.0001053465,0.006158693,0.0005928857,0.0003655416,0.00243807,0.00002153143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378027,0.004822636,0.01139096,0.001995252,0.00018331,0.0001849428,0.03598328,0.0002588151,0.007378021],"genre_scores_gemma":[0.9896976,0.0003550633,0.001823381,0.0001546687,0.00006529396,0.00003023149,0.007693913,0.00001285717,0.0001669714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9652507,"threshold_uncertainty_score":0.1837744,"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."}}