{"id":"W7161814592","doi":"10.82308/1293","title":"Artificial Intelligence Assessment of Expertise in Virtual Reality Spine Pedicle Screw Insertion","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Orthopedic surgery; Psychomotor learning; Neurosurgery; Data set; Learning curve; Spinal deformity","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":[0.002977686,0.0003720721,0.0003164191,0.001738194,0.000213334,0.001292973,0.000546663,0.0006100205,0.001640519],"category_scores_gemma":[0.03059759,0.0001505505,0.0003567512,0.0006577972,0.0006427646,0.0009081344,0.0009724161,0.0004921324,0.0002953043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004341525,"about_ca_system_score_gemma":0.0004496522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643872,"about_ca_topic_score_gemma":0.002580709,"domain_scores_codex":[0.9969998,0.001446198,0.000294035,0.0003457398,0.0007605344,0.0001536905],"domain_scores_gemma":[0.986336,0.007246939,0.003534986,0.0006387669,0.001526869,0.0007165211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000628433,0.000532849,0.8406314,0.0003417037,0.0002072919,0.000303698,0.001787995,0.01869578,0.003988855,0.0004229235,0.001042931,0.1314162],"study_design_scores_gemma":[0.00003399703,0.001555307,0.8848673,0.0002050365,0.00008341908,0.0009564962,0.001744839,0.102049,0.004021687,0.002784897,0.001611872,0.00008618554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803551,0.0003633024,0.01592304,0.0002657303,0.00001939557,0.00009184996,0.0002578579,0.00007643572,0.002647327],"genre_scores_gemma":[0.9952651,0.00007515856,0.004366039,0.00002744677,0.000008844824,0.00003015559,0.00009351342,0.000004265875,0.0001294217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002977686,"threshold_uncertainty_score":0.01574767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09213802512691656,"score_gpt":0.4360445630852715,"score_spread":0.343906537958355,"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."}}