{"id":"W3016949873","doi":"10.3171/2020.2.jns2033","title":"Predictors of an academic career among fellowship-trained open vascular and endovascular neurosurgeons","year":2020,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco; University of California, Los Angeles; York University; Medical Center, University of Pittsburgh; University of Pittsburgh; Johns Hopkins University; University of Washington; Harvard University; Northwestern University; Rush University; Washington University in St. Louis; Yale University; Cleveland Clinic; University of Pennsylvania; Massachusetts General Hospital","keywords":"Medicine; Neurosurgery; Graduate medical education; Accreditation; Logistic regression; Family medicine; Vascular surgery; Residency training; Test (biology); Bivariate analysis; Multivariate analysis; Medical education; Internal medicine; Surgery; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008893104,0.0001820429,0.0007797378,0.0002130278,0.00006264582,0.00004246976,0.0002200464,0.0001284832,0.000145123],"category_scores_gemma":[0.001188521,0.000147795,0.0003783465,0.000464958,0.0001365979,0.000453976,0.00009637359,0.0006688166,0.000001032309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000142681,"about_ca_system_score_gemma":0.0001181927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019611,"about_ca_topic_score_gemma":6.278044e-7,"domain_scores_codex":[0.9977054,0.0002403266,0.0009453525,0.0002461097,0.0006288744,0.0002339453],"domain_scores_gemma":[0.9979659,0.000418272,0.0004968242,0.0001960327,0.000179275,0.0007436608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001017693,0.0002027745,0.9718161,0.0001324855,0.0003984013,0.001821063,0.00109396,0.001050561,0.01214775,0.00003365714,0.0003154284,0.009970166],"study_design_scores_gemma":[0.005420355,0.0008282296,0.9665694,0.0001335946,0.0004315333,0.0003753059,0.0002004034,0.002765644,0.001709565,0.00002980113,0.02133511,0.0002011165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970948,0.0002028798,0.00005847905,0.001699999,0.0003071187,0.0002334388,0.000005631104,0.00002345321,0.000374222],"genre_scores_gemma":[0.9974919,0.0003296838,0.00007626465,0.001656824,0.0003884857,0.000001708556,0.000004826094,0.0000372383,0.00001304736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02101968,"threshold_uncertainty_score":0.6026905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06912504610824911,"score_gpt":0.2942615136104697,"score_spread":0.2251364675022206,"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."}}