{"id":"W2853167595","doi":"10.1007/s00464-018-6348-0","title":"Predicting venous thromboembolism following laparoscopic bariatric surgery: development of the BariClot tool using the MBSAQIP database","year":2018,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Calgary; University of Alberta Hospital; University of Alberta","funders":"","keywords":"Medicine; Pulmonary embolism; Cohort; Abdominal surgery; Surgery; Venous thromboembolism; Retrospective cohort study; Sleeve gastrectomy; Cohort study; Gastric bypass; Population; Venous thrombosis; Internal medicine; Obesity; Thrombosis; Weight loss","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":[0.001281033,0.0003212264,0.001012999,0.0001333658,0.0007983809,0.00005431075,0.0004013286,0.0001158318,0.0002715717],"category_scores_gemma":[0.0003386578,0.0001875331,0.0003778551,0.0008465477,0.0002516968,0.0001362476,0.000480998,0.0003294481,0.00003278908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550174,"about_ca_system_score_gemma":0.0006056236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004439032,"about_ca_topic_score_gemma":0.00004577358,"domain_scores_codex":[0.9969233,0.0002044333,0.00083145,0.0004872839,0.0008712044,0.0006823483],"domain_scores_gemma":[0.9980718,0.0004498415,0.0002945857,0.0009138142,0.0001246194,0.0001453446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121191,0.01028737,0.8767897,0.002458746,0.006733689,0.0007978799,0.01960298,0.0002587006,0.0385565,0.01260644,0.01139879,0.01938798],"study_design_scores_gemma":[0.02676359,0.001363751,0.5716525,0.005846337,0.006765403,0.0003544496,0.003946579,0.006535548,0.2306171,0.0006529933,0.143013,0.002488785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942353,0.0005937225,0.0001793925,0.000346928,0.001924211,0.0009155137,0.00001088839,0.0000860182,0.001707989],"genre_scores_gemma":[0.9968897,0.00007497548,0.001736179,0.0003926719,0.0007050874,0.00005252497,0.00001764567,0.00005124287,0.00008003803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3051372,"threshold_uncertainty_score":0.7647377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273547052878085,"score_gpt":0.300107781644002,"score_spread":0.2673723111152212,"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."}}