{"id":"W4384129344","doi":"10.1227/ons.0000000000000813","title":"Performance in a Simulated Virtual Reality Anterior Cervical Discectomy and Fusion Task: Disc Residual, Rate of Removal, and Efficiency Analyses","year":2023,"lang":"en","type":"article","venue":"Operative Neurosurgery","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Anterior cervical discectomy and fusion; Medicine; Virtual reality; Task (project management); Discectomy; Residual; Cervical spine; Computer science; Artificial intelligence; Biomedical engineering; Surgery; Medical physics; Algorithm; Lumbar","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370408,0.0004816022,0.0004098557,0.0008188476,0.0001987949,0.0003959748,0.0004206702,0.000442498,0.001622721],"category_scores_gemma":[0.005911531,0.0001703355,0.0004406685,0.000366788,0.0003077968,0.0002946168,0.0006167329,0.0003111775,0.0004099895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002704175,"about_ca_system_score_gemma":0.0003748203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507186,"about_ca_topic_score_gemma":0.002651574,"domain_scores_codex":[0.9993037,0.0001537434,0.00007993971,0.0001549775,0.0002114509,0.00009614131],"domain_scores_gemma":[0.9970675,0.001235213,0.000566843,0.0002311908,0.0005687494,0.0003304891],"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":[0.01286875,0.006872234,0.703945,0.0005878918,0.0008294458,0.0003274177,0.005228103,0.02447269,0.09426382,0.0003264515,0.001488712,0.1487895],"study_design_scores_gemma":[0.0001130343,0.009949238,0.9495686,0.00002251904,0.0001144407,0.0002620205,0.0007960244,0.02558317,0.01275091,0.0001353324,0.0006400208,0.00006466644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972708,0.00001300489,0.002145584,0.000005977891,0.000002635079,0.00006844923,0.0002385548,0.00001892764,0.0002360464],"genre_scores_gemma":[0.9948509,0.0000213242,0.00366675,0.000008463549,0.000003999891,0.0001954065,0.0007436163,0.00001142426,0.0004980793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002507186,"threshold_uncertainty_score":0.007247508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04694954860139915,"score_gpt":0.3530970257493695,"score_spread":0.3061474771479703,"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."}}