{"id":"W4289345266","doi":"10.3171/2022.5.focus22188","title":"High-fidelity, simulation-based microsurgical training for neurosurgical residents","year":2022,"lang":"en","type":"article","venue":"Neurosurgical FOCUS","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Queen's University; Western University","funders":"Academic Medical Organization of Southwestern Ontario","keywords":"Curriculum; Medicine; Microsurgery; Neurosurgery; Fidelity; Rating scale; Medical education; Medical physics; Scale (ratio); Physical therapy; Anastomosis; Simulation training; Surgery; Physical medicine and rehabilitation; Psychology; Simulation; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009308334,0.0004509375,0.000921677,0.0002835937,0.0009182849,0.0001164901,0.0003064774,0.0001857202,0.003191216],"category_scores_gemma":[0.001134421,0.0004290635,0.0007748783,0.0008162108,0.0001895633,0.0001060576,0.0002009681,0.000934997,0.00004213099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523558,"about_ca_system_score_gemma":0.0002323165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002882538,"about_ca_topic_score_gemma":0.000002159559,"domain_scores_codex":[0.9950739,0.0004386556,0.001134942,0.001093378,0.001347077,0.0009120951],"domain_scores_gemma":[0.9935286,0.004806221,0.0002408462,0.000551676,0.000200915,0.0006717315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01832241,0.002503317,0.01919537,0.0001419805,0.0001492247,0.003328007,0.0002777731,0.8930759,0.002415367,0.01165631,0.0008214179,0.04811297],"study_design_scores_gemma":[0.04963744,0.003002389,0.05787024,0.0000592117,0.0002587818,0.000310078,0.0001095506,0.3934414,0.0007223703,0.002524228,0.4908868,0.001177509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842734,0.0001371712,0.004539633,0.004337424,0.001304813,0.001657606,0.0002139453,0.0006668936,0.002869113],"genre_scores_gemma":[0.9937761,0.000003889342,0.000662201,0.003829557,0.0004456753,0.0002745067,0.0002062799,0.0001152636,0.0006864766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4996344,"threshold_uncertainty_score":0.9998161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06984983835325304,"score_gpt":0.338223360457711,"score_spread":0.268373522104458,"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."}}