{"id":"W3007634539","doi":"10.1093/jcag/gwz047.023","title":"A24 RATE OF GASTROINTESTINAL ENDOSCOPY USE AND CONCOMITTANT ANESHESIOLOGY ASSISTANCE AND PREDICTORS OF ANESTHESIOLOGY ASSISTANCE: A POPULATION-BASED ANALYSIS","year":2020,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Esophageal and GI Pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Anesthesiology; Medicine; Demography; Logistic regression; Reimbursement; Population; Generalized estimating equation; Concomitant; Statistics; Health care; Surgery; Environmental health; Internal medicine; Mathematics; Anesthesia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009048092,0.0004060113,0.0003985503,0.001852254,0.0009205035,0.001075581,0.001186183,0.0005611711,0.002483101],"category_scores_gemma":[0.002246815,0.0004700141,0.001233323,0.003763193,0.000688117,0.0004527353,0.0007083356,0.0009070029,0.0002825866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005592667,"about_ca_system_score_gemma":0.007604448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.845316,"about_ca_topic_score_gemma":0.8215141,"domain_scores_codex":[0.9987686,0.0001137045,0.0001122288,0.0003207014,0.0003822013,0.0003024643],"domain_scores_gemma":[0.9981613,0.0001468869,0.000616485,0.0001245627,0.0005679946,0.0003828726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002916179,0.00001231857,0.9991866,0.000009591636,0.00007960224,0.00002021616,0.0000568462,0.00004171327,0.00004981342,0.00001366791,0.000157698,0.0003428338],"study_design_scores_gemma":[0.000004636805,0.00002181859,0.9992562,0.000006569196,0.00003630352,0.00004202014,0.0002064501,0.0002493847,0.00001542176,0.00000897966,0.0001471115,0.000005097607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955437,0.0003451484,0.0001531093,0.00009344437,0.000009095626,0.00003876426,0.003116038,0.000012793,0.0006879218],"genre_scores_gemma":[0.9982541,0.0001093784,0.0001374499,0.00003217703,0.000006488119,0.00001820759,0.001251483,0.000003346071,0.0001871676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.845316,"threshold_uncertainty_score":0.3111899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224775753858257,"score_gpt":0.2279611818844766,"score_spread":0.215713424345894,"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."}}