{"id":"W2036321774","doi":"10.1007/s00464-004-8943-5","title":"Assessing the learning curve for the acquisition of laparoscopic skills on a virtual reality simulator","year":2005,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Motion (physics); Construct validity; Virtual reality; Analysis of variance; Learning curve; Repeated measures design; Dreyfus model of skill acquisition; Drill; Variance (accounting); Construct (python library); Medicine; Set (abstract data type); Laparoscopy; Simulation; Computer science; Artificial intelligence; Physical therapy; Statistics; Machine learning; Surgery; Mathematics; Patient satisfaction","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":[0.002150356,0.0004670353,0.0003309235,0.001185299,0.0002092281,0.0006398113,0.0006569662,0.0007938608,0.002870629],"category_scores_gemma":[0.03263026,0.0001973763,0.000539083,0.0002830275,0.0002559689,0.001059938,0.0007839429,0.0007498408,0.0007249733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005302932,"about_ca_system_score_gemma":0.0008590455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181095,"about_ca_topic_score_gemma":0.001310289,"domain_scores_codex":[0.9988902,0.0002415458,0.000150954,0.0001155015,0.0004521643,0.0001496841],"domain_scores_gemma":[0.9768066,0.01201242,0.0029709,0.0009919353,0.003961913,0.003256327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01627,0.01092171,0.6223327,0.0003540624,0.0003784693,0.000531163,0.002825801,0.02257728,0.03948916,0.0008736959,0.003002495,0.2804434],"study_design_scores_gemma":[0.0003532514,0.03650334,0.8900212,0.00009963838,0.0001292118,0.001237957,0.0009985174,0.04563734,0.02097053,0.0007638257,0.003103812,0.000181485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966574,0.00007568146,0.001355861,0.00004964026,0.00001249706,0.00007980492,0.0001032341,0.00005421082,0.001611657],"genre_scores_gemma":[0.9969297,0.00008823399,0.001714901,0.00002201338,0.00000570538,0.00005383117,0.0001672051,0.00001587689,0.0010026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002870629,"threshold_uncertainty_score":0.01137233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414915932316423,"score_gpt":0.3862717285983105,"score_spread":0.3447801353666682,"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."}}