{"id":"W4376106854","doi":"10.1097/prs.0000000000010636","title":"Development and Evaluation of a High-Fidelity Rhinoplasty Simulator","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Hospital for Sick Children","funders":"","keywords":"High fidelity; Simulation; Fidelity; Computer science; Rhinoplasty; Engineering drawing; Human–computer interaction; Systems engineering; Engineering; Medicine; Electrical 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":[0.001250177,0.0001197736,0.0003746884,0.0002636365,0.00006409745,0.000007963218,0.00001726139,0.00007043096,0.0003432945],"category_scores_gemma":[0.003169718,0.0001057334,0.00006161701,0.000388241,0.0001144873,0.00007022301,0.00002713865,0.00009956415,0.00003849262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006813716,"about_ca_system_score_gemma":0.0003575304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008883778,"about_ca_topic_score_gemma":0.00000547072,"domain_scores_codex":[0.9985424,0.00008493007,0.0004424995,0.0002510147,0.000491527,0.000187688],"domain_scores_gemma":[0.995033,0.004275084,0.0001372705,0.0001009267,0.0003219999,0.000131733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002652125,0.0000580688,0.4734021,0.0001195849,0.0002354162,0.00001460519,0.0004393451,0.00141111,0.0002157258,0.0003914183,0.00004421758,0.5234032],"study_design_scores_gemma":[0.001747566,0.0000162104,0.9648488,0.0001717548,0.0001085877,0.00002380899,0.0003667419,0.03057584,0.001077026,0.0004546435,0.0004836917,0.0001253813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983962,0.00003274081,0.0001412033,0.00002417039,0.0005042547,0.0001915822,0.00001022687,0.00007890334,0.000620699],"genre_scores_gemma":[0.9993368,0.000005554508,0.0005013913,0.00001814553,0.00004676471,0.00001608157,0.00004436277,0.00001127844,0.0000195972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5232778,"threshold_uncertainty_score":0.4311685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07553047706090514,"score_gpt":0.3131992142008615,"score_spread":0.2376687371399563,"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."}}