{"id":"W2022677134","doi":"10.1007/s00464-014-3698-0","title":"Simultaneous development of laparoscopy and robotics provides acceptable perioperative outcomes and shows robotics to have a faster learning curve and to be overall faster in rectal cancer surgery: analysis of novice MIS surgeon learning curves","year":2014,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Perioperative; Laparoscopy; Robotic surgery; Colorectal surgery; Surgery; Abdominal surgery; CUSUM; Robotics; Laparoscopic surgery; Learning curve; General surgery; Artificial intelligence; Robot; Computer science; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006171379,0.000399494,0.001816142,0.0004778409,0.00009724832,0.00004895891,0.00006878659,0.0001323449,0.0001280739],"category_scores_gemma":[0.001084643,0.000323425,0.0001337795,0.0006589454,0.0001337616,0.0001257973,0.000186908,0.000324446,0.000001008354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553248,"about_ca_system_score_gemma":0.0001469987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007895653,"about_ca_topic_score_gemma":0.002911691,"domain_scores_codex":[0.9972403,0.0003119312,0.0007921744,0.0006766754,0.0004877583,0.0004911344],"domain_scores_gemma":[0.9966094,0.00237381,0.0002117392,0.0001798884,0.000225704,0.000399382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001628787,0.0001368956,0.9502292,0.0003650277,0.0006078728,0.00005006602,0.003890498,0.03585437,0.0007412641,0.000008326898,0.000003711578,0.006483945],"study_design_scores_gemma":[0.01338962,0.003149535,0.8808622,0.003534653,0.002698939,0.0000534914,0.003862009,0.06826186,0.01533963,0.000006379693,0.007010676,0.001831059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973611,0.0007008952,0.0002039611,0.0007159117,0.00005253311,0.0006923922,0.00002195214,0.00002625035,0.0002250554],"genre_scores_gemma":[0.9930456,0.0003505499,0.005425344,0.0002719047,0.00001666838,0.00008018439,0.00003433698,0.00003705814,0.0007383073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06936709,"threshold_uncertainty_score":0.9999218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613975056813655,"score_gpt":0.3157211789570996,"score_spread":0.289581428388963,"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."}}