{"id":"W2602497407","doi":"10.1089/lap.2016.0516","title":"Educational Role for an Advanced Suturing Task in the Pediatric Laparoscopic Surgery Simulator","year":2017,"lang":"en","type":"article","venue":"Journal of Laparoendoscopic & Advanced Surgical Techniques","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; Hospital for Sick Children","funders":"","keywords":"Task (project management); Motion (physics); Psychomotor learning; Medicine; Simulation; Motion analysis; Computer science; Match moving; Laparoscopic surgery; Physical medicine and rehabilitation; Surgery; Artificial intelligence; Laparoscopy; Cognition; 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":[0.001016943,0.0002413811,0.00078686,0.0002739071,0.0003068978,0.0001074004,0.0004189707,0.0001200769,0.00006632533],"category_scores_gemma":[0.001144942,0.0001654473,0.0003441713,0.0001696235,0.0001041608,0.0006868604,0.00003884024,0.0004986664,0.000001840057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009883789,"about_ca_system_score_gemma":0.0002484773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000596597,"about_ca_topic_score_gemma":0.000005923969,"domain_scores_codex":[0.9977164,0.0001298029,0.000941689,0.0002838566,0.0005158997,0.0004123141],"domain_scores_gemma":[0.9963182,0.001877159,0.000769886,0.000508333,0.0002935859,0.000232867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005291213,0.00240984,0.8005956,0.0004473003,0.0001389818,0.0005874536,0.0007208398,0.0008703997,0.003407059,0.003634485,0.0004309829,0.1814658],"study_design_scores_gemma":[0.04049413,0.005146012,0.5527261,0.002458023,0.0006227999,0.001647423,0.001416633,0.001389051,0.02492871,0.02459068,0.3428915,0.001688927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994718,0.000855295,0.0001608301,0.001474201,0.0004719619,0.0006342436,0.000006547173,0.00005056652,0.001628382],"genre_scores_gemma":[0.992161,0.00047071,0.005507726,0.0002801082,0.001369801,0.00007515233,0.0000119607,0.00002980932,0.00009369927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3424605,"threshold_uncertainty_score":0.6746747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611665601774296,"score_gpt":0.3705833123479446,"score_spread":0.3344666563302016,"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."}}