{"id":"W2344775595","doi":"","title":"Physical reality simulation for training of laparoscopists in the 21st century. A multispecialty, multi-institutional study.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Specialty; Medicine; Test (biology); Laparoscopic surgery; Simulation training; Obstetrics and gynaecology; Medical physics; Simulation; Physical therapy; Laparoscopy; Computer science; General surgery; Artificial intelligence; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002504739,0.0006488381,0.0004033504,0.001313743,0.0008033958,0.0006391969,0.0004703007,0.0006965798,0.001495168],"category_scores_gemma":[0.004754042,0.0006439234,0.0006168687,0.0006303906,0.0005069035,0.000766211,0.001386637,0.0007971594,0.0004780329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006952967,"about_ca_system_score_gemma":0.001128112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207162,"about_ca_topic_score_gemma":0.004335022,"domain_scores_codex":[0.9986631,0.0005232036,0.00009254232,0.0001189852,0.0003137026,0.0002885301],"domain_scores_gemma":[0.9965739,0.000540711,0.0007559858,0.0002018009,0.0003974493,0.001530115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001254098,0.0127921,0.9664159,0.0001073779,0.0001233493,0.0006026461,0.003661577,0.0002719068,0.001649315,0.00003393318,0.0004406113,0.01264711],"study_design_scores_gemma":[0.0002470716,0.02122494,0.9719734,0.00002900391,0.00005040737,0.0009230474,0.003513226,0.0005022731,0.0003555025,0.00002302996,0.001123854,0.00003418878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999649,0.00006047942,0.00006315116,0.00001647657,0.000004207527,0.00007170009,0.00002474427,0.000003720988,0.0001064674],"genre_scores_gemma":[0.9984676,0.0002174525,0.0003956698,0.0001176918,0.00002796814,0.0002204558,0.0001447426,0.000005264402,0.0004031537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002504739,"threshold_uncertainty_score":0.01324648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1381095286172302,"score_gpt":0.371184352889053,"score_spread":0.2330748242718228,"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."}}