{"id":"W2560720491","doi":"10.1007/s00464-016-5337-4","title":"Analysis of motion in laparoscopy: the deconstruction of an intra-corporeal suturing task","year":2016,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Children's Hospital of Eastern Ontario; University of Toronto","funders":"Imperial College London","keywords":"Medicine; Laparoscopy; Abdominal surgery; Task (project management); Motion (physics); Hepatology; General surgery; Surgery; Artificial intelligence; Computer science; Engineering","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":[0.000398415,0.00009102187,0.0004005537,0.000265519,0.0000230123,0.000003985495,0.00006215354,0.00007835199,0.0005897029],"category_scores_gemma":[0.0001081373,0.0000487286,0.0001582668,0.0007665718,0.0001752943,0.00008947683,0.00001371085,0.00009522858,0.000002656001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003562313,"about_ca_system_score_gemma":0.00002879775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006048,"about_ca_topic_score_gemma":0.00005736536,"domain_scores_codex":[0.9988614,0.0001099428,0.0004383747,0.0001886514,0.0002445347,0.0001570814],"domain_scores_gemma":[0.9990689,0.0004152021,0.0001502557,0.0002134308,0.00006297762,0.00008924003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00245578,0.0003761387,0.8443977,0.0000388868,0.0004947105,0.00005655615,0.0003694499,0.001153851,0.009391767,0.007370992,0.0000020541,0.1338921],"study_design_scores_gemma":[0.02970839,0.0004890594,0.8580429,0.0002887006,0.001046123,0.0000416562,0.0003527047,0.01316921,0.094088,0.00118168,0.001337521,0.0002540312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959861,0.00002173746,0.0001621626,0.0001495688,0.0001044604,0.0001163286,0.00001198561,0.00002165129,0.00342601],"genre_scores_gemma":[0.9996758,0.00002834074,0.0001569364,0.00002032812,0.00006386604,0.000005230445,0.00002070979,0.000007031341,0.00002179833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1336381,"threshold_uncertainty_score":0.6456833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759760425283976,"score_gpt":0.3009210216376674,"score_spread":0.2833234173848277,"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."}}