{"id":"W2097294082","doi":"10.1162/pres.16.6.603","title":"Fuzzy Set Theory for Performance Evaluation in a Surgical Simulator","year":2007,"lang":"en","type":"article","venue":"PRESENCE Virtual and Augmented Reality","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Computer science; Fuzzy logic; Knot tying; Task (project management); Machine learning; Classifier (UML); Artificial intelligence; Simulation; Engineering; Medicine","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":[0.005128498,0.0008868969,0.001126836,0.002160179,0.0004923393,0.001552146,0.001066868,0.001101703,0.001405602],"category_scores_gemma":[0.01041924,0.0002951343,0.00108871,0.001069208,0.001554678,0.001172402,0.0004625568,0.001180805,0.0003900987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342796,"about_ca_system_score_gemma":0.00108385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007031604,"about_ca_topic_score_gemma":0.003030748,"domain_scores_codex":[0.996435,0.001584948,0.0002437649,0.0003260548,0.001293405,0.0001167174],"domain_scores_gemma":[0.995274,0.003588893,0.0002787678,0.0001723363,0.0006331738,0.00005272839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001751015,0.0001572328,0.002709573,0.0003535016,0.0001781856,0.0001634627,0.0005237769,0.7973423,0.004525959,0.09171867,0.001054933,0.1010973],"study_design_scores_gemma":[0.00001828672,0.0001228106,0.0006778605,0.00006775479,0.00002187228,0.00004162032,0.00006098679,0.9617867,0.0008547819,0.03524847,0.001064138,0.00003463072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02070898,0.0008837991,0.974307,0.0002594655,0.00006619409,0.0001079746,0.00005793722,0.0001338348,0.003474853],"genre_scores_gemma":[0.7154641,0.001153597,0.2803655,0.0001855478,0.0001364433,0.0005855376,0.0001672647,0.00002865689,0.001913409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007031604,"threshold_uncertainty_score":0.02712244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07754252769769382,"score_gpt":0.3813554708646655,"score_spread":0.3038129431669717,"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."}}