{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009732262,0.0003261415,0.0001099049,0.0001799705,0.0005039414,0.0002698692,0.0007191402,0.0002276635,0.003579127],"category_scores_gemma":[0.002594568,0.0001385662,0.0001354536,0.0001382414,0.0002854806,0.0001997958,0.0009399864,0.000326564,0.0005225624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570255,"about_ca_system_score_gemma":0.006458146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03002919,"about_ca_topic_score_gemma":0.1292636,"domain_scores_codex":[0.9996019,0.00009472924,0.00001369034,0.00003659647,0.000150779,0.0001023265],"domain_scores_gemma":[0.9991934,0.0001084879,0.0001069128,0.0000377503,0.0001521375,0.0004013636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001582532,0.01464912,0.2596564,0.001205695,0.00008526126,0.001086218,0.0114767,0.01607124,0.039173,0.0004052989,0.01003999,0.6445686],"study_design_scores_gemma":[0.0005301565,0.0155509,0.9072099,0.000524012,0.00008364513,0.002915593,0.004293025,0.01564243,0.01330479,0.0004644582,0.03934593,0.0001351219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927217,0.0001785851,0.004189605,0.0001880855,0.00001557973,0.0003597719,0.00006123375,0.0000830913,0.00220218],"genre_scores_gemma":[0.9735761,0.0005047821,0.02262543,0.00008811661,0.00002092777,0.0002971416,0.0002189552,0.00001210214,0.002656475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03002919,"threshold_uncertainty_score":0.05970877,"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."}}