{"id":"W4313128348","doi":"10.2196/40541","title":"Advantages of a Training Course for Surgical Planning in Virtual Reality for Oral and Maxillofacial Surgery: Crossover Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Fibula; Iliac crest; Computer science; Surgical planning; Process (computing); Virtual machine; Medical physics; Segmentation; Human–computer interaction; Surgery; Artificial intelligence; Medicine; Tibia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00233295,0.0009431316,0.001340767,0.000981084,0.001414911,0.0007080882,0.000591653,0.001283969,0.005630051],"category_scores_gemma":[0.002273684,0.0006298525,0.001285639,0.0004400747,0.0007325892,0.000901427,0.0008406558,0.001191921,0.0007876157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006270138,"about_ca_system_score_gemma":0.0008889782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001711483,"about_ca_topic_score_gemma":0.002275498,"domain_scores_codex":[0.9988341,0.0003057519,0.00009292822,0.0002850997,0.0001768692,0.0003054185],"domain_scores_gemma":[0.9981149,0.0004344383,0.0001900048,0.000158911,0.0002555052,0.000846284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0341534,0.5839197,0.2434846,0.001092019,0.0005997033,0.004008053,0.02147955,0.0007846287,0.02437823,0.0003436723,0.001180531,0.08457595],"study_design_scores_gemma":[0.008295937,0.4989102,0.4699039,0.0001389904,0.0004244195,0.001363441,0.01088183,0.0008562945,0.003781622,0.0001612304,0.005096805,0.0001851432],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991186,0.00006863128,0.0001373893,0.0000130746,0.00001384584,0.0003841846,0.00003555081,0.000004274301,0.0002244319],"genre_scores_gemma":[0.9947938,0.0002391925,0.001423494,0.00009354183,0.00005860663,0.001019028,0.0001995789,0.000009090752,0.002163684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005630051,"threshold_uncertainty_score":0.01883435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0746382887938795,"score_gpt":0.4028456142176757,"score_spread":0.3282073254237962,"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."}}