{"id":"W2061856614","doi":"10.1016/j.apergo.2006.03.011","title":"Control of laparoscopic instrument motion in an inanimate bench model: Implications for the training and the evaluation of technical skills","year":2006,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Imperial College London","keywords":"Wrist; Flexibility (engineering); Simulation; Motion (physics); Motion analysis; Laparoscopic surgery; Computer science; Artificial intelligence; Medicine; Laparoscopy; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007067699,0.0003627614,0.000257267,0.0002004541,0.0003866042,0.0009917808,0.0004601471,0.0003668331,0.002146675],"category_scores_gemma":[0.002368881,0.000168841,0.0001892154,0.00009140313,0.0005550253,0.0004965175,0.0005887098,0.000312306,0.0002151524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002439726,"about_ca_system_score_gemma":0.0006929695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001679842,"about_ca_topic_score_gemma":0.001403426,"domain_scores_codex":[0.9997236,0.00009338126,0.00001759182,0.00004036009,0.00006289093,0.00006201743],"domain_scores_gemma":[0.9992706,0.00027443,0.0001162692,0.00007702228,0.0001284778,0.0001331105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008006864,0.001909765,0.01710196,0.0002206139,0.00003481705,0.0002045089,0.001086741,0.02206462,0.9009078,0.001112709,0.0004095171,0.04694025],"study_design_scores_gemma":[0.0009190279,0.03687761,0.2169095,0.0002071067,0.0002024852,0.0006157341,0.003612867,0.4102724,0.3213917,0.002588908,0.006099457,0.00030324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984759,0.00007102875,0.01392034,0.0001270475,0.00002978228,0.00006075701,0.00006324492,0.00003853051,0.0009302398],"genre_scores_gemma":[0.994541,0.000108162,0.004506294,0.00002507146,0.00001037234,0.00007476394,0.00005803684,0.00001368064,0.0006626445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002146675,"threshold_uncertainty_score":0.007181287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869144381300272,"score_gpt":0.3258401226564707,"score_spread":0.277148678843468,"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."}}