{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008609096,0.0001347168,0.0005606526,0.0001104471,0.0001365135,0.00001658439,0.00004454479,0.00004810774,0.00007885038],"category_scores_gemma":[0.0001379992,0.0001259688,0.00011051,0.0001679216,0.00007343163,0.00006118316,0.00004841223,0.0001427616,1.22296e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003633268,"about_ca_system_score_gemma":0.0001007573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003513768,"about_ca_topic_score_gemma":0.00001645382,"domain_scores_codex":[0.9987292,0.00006484596,0.0003986052,0.0002829662,0.0002415818,0.0002828444],"domain_scores_gemma":[0.9991435,0.0004955003,0.0001178224,0.0001080228,0.00004311313,0.00009202153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01971549,0.001596017,0.6109657,0.0001484165,0.0002000422,0.0004035017,0.02228064,0.002025421,0.00008441681,0.0005973627,0.0001348412,0.3418481],"study_design_scores_gemma":[0.03935763,0.003668537,0.7542698,0.00007417154,0.0001179651,0.0001104069,0.0419871,0.006304417,0.00003486847,0.0002193671,0.1534625,0.0003931934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977504,0.0001081615,0.00004542563,0.0001992572,0.0001361501,0.001426893,0.0001168607,0.00004416606,0.0001726875],"genre_scores_gemma":[0.9991283,0.000003067958,0.0000670897,0.00008453993,0.00003517079,0.0004409457,0.0000683051,0.00002278681,0.0001497819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3414549,"threshold_uncertainty_score":0.5136859,"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."}}