{"id":"W2995336252","doi":"10.1093/ons/opz359","title":"Artificial Neural Networks to Assess Virtual Reality Anterior Cervical Discectomy Performance","year":2019,"lang":"en","type":"article","venue":"Operative Neurosurgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Artificial neural network; Anterior cervical discectomy and fusion; Virtual reality; Metric (unit); Computer science; Artificial intelligence; Discectomy; Machine learning; Medicine; Cervical spine; Surgery; Operations management; 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":[0.001706439,0.0007334708,0.0003325485,0.001410449,0.000184345,0.000791934,0.0004180893,0.0007560995,0.001131576],"category_scores_gemma":[0.01166323,0.0001667567,0.0002910397,0.0007117423,0.0002851151,0.0006989207,0.0005561374,0.0004910596,0.0002343882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006622953,"about_ca_system_score_gemma":0.0003195306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349484,"about_ca_topic_score_gemma":0.002639192,"domain_scores_codex":[0.9992025,0.0002244822,0.00009743603,0.0001476327,0.0002617976,0.00006612328],"domain_scores_gemma":[0.9958282,0.002350149,0.0007253511,0.0001931568,0.0007238853,0.0001792309],"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":[0.001993364,0.001315504,0.3463265,0.0003590774,0.0007346473,0.0002003813,0.0006047311,0.3138962,0.01698663,0.0008347852,0.001436878,0.3153113],"study_design_scores_gemma":[0.00002514985,0.001244508,0.1121945,0.00005877607,0.00009605187,0.000159305,0.000233213,0.8778917,0.006517378,0.001117668,0.0004175114,0.00004424372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547237,0.0003031351,0.04148313,0.0001463552,0.00005555824,0.000167516,0.0004420568,0.0002321154,0.00244634],"genre_scores_gemma":[0.9894177,0.0000786128,0.009682673,0.00002527744,0.000008447112,0.0001076418,0.0002572548,0.000007320398,0.0004149413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002349484,"threshold_uncertainty_score":0.00902462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06649530957308088,"score_gpt":0.3388617671454934,"score_spread":0.2723664575724126,"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."}}