{"id":"W2896076475","doi":"10.1016/j.jamcollsurg.2018.08.555","title":"Finding Patterns of Events in Laparoscopic Roux-en-Y Gastric Bypass with Machine Learning Techniques","year":2018,"lang":"en","type":"article","venue":"Journal of the American College of Surgeons","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Roux-en-Y anastomosis; Gastric bypass; General surgery; Laparoscopy; Internal medicine; Obesity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001190963,0.0002386043,0.0003275496,0.001590084,0.0002282917,0.0008269677,0.0004342748,0.0004484287,0.001875565],"category_scores_gemma":[0.01166679,0.0001526913,0.0005387956,0.001047299,0.0001809674,0.0008991281,0.0004804824,0.000650103,0.0003155894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002281057,"about_ca_system_score_gemma":0.000385657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397744,"about_ca_topic_score_gemma":0.002342964,"domain_scores_codex":[0.9992039,0.0002312354,0.0001664057,0.0001466257,0.0001798042,0.00007199562],"domain_scores_gemma":[0.995582,0.002710676,0.0008630315,0.0001887856,0.0004028816,0.0002524775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006320767,0.0000882013,0.9429433,0.0000996184,0.0001250951,0.0003685814,0.00008619461,0.0006019478,0.0004037599,0.0001406065,0.001162854,0.05334771],"study_design_scores_gemma":[0.00006526857,0.0004941188,0.9738132,0.0002308021,0.0003000794,0.002922126,0.0007042175,0.01633134,0.001384101,0.001948218,0.001775855,0.00003071383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867556,0.00271409,0.00608063,0.00108568,0.0001048071,0.00007569657,0.001147319,0.00005736404,0.001978788],"genre_scores_gemma":[0.9912855,0.00134202,0.00541127,0.0001195934,0.0001101686,0.00004702271,0.001196718,0.00001984839,0.0004677785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001875565,"threshold_uncertainty_score":0.006298482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178646910498772,"score_gpt":0.2677219720177459,"score_spread":0.2559355029127582,"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."}}