{"id":"W2234148365","doi":"10.1017/cjn.2015.332","title":"The Impact of Early Medical School Surgical Exposure on Interest in Neurosurgery","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neurosurgery; Medicine; Medical education; Medical physics; Demographics; Surgery; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.02226458,0.000246623,0.00050461,0.0008691527,0.002340206,0.0007501779,0.004063903,0.0002726185,0.0002723869],"category_scores_gemma":[0.02158571,0.0001377208,0.0003321189,0.001905309,0.01539375,0.0008073857,0.0001025664,0.001839141,0.000005509491],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004504428,"about_ca_system_score_gemma":0.01594295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01720044,"about_ca_topic_score_gemma":0.2216858,"domain_scores_codex":[0.9922546,0.002875998,0.0009467349,0.0003619891,0.002170235,0.001390458],"domain_scores_gemma":[0.9913505,0.002122461,0.0006766227,0.0001538799,0.0006643737,0.005032167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002456707,0.00004399721,0.9786439,0.000001333499,0.00001014152,0.008829178,0.001257158,0.0009889705,9.717e-7,0.00351667,0.003060752,0.003401288],"study_design_scores_gemma":[0.001806392,0.1900202,0.7285684,0.00025594,0.00003943659,0.01104956,0.009275649,0.0003704466,0.00001429396,0.03994044,0.0180049,0.0006543315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793569,0.000829162,0.000001177836,0.009005914,0.001633288,0.0001173508,0.000004426086,0.000009703732,0.009042022],"genre_scores_gemma":[0.9976617,0.0006061717,0.00003205903,0.001193107,0.0004554723,0.000001083038,9.908682e-8,0.000006087695,0.0000442253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2500755,"threshold_uncertainty_score":0.9989586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09009087332163605,"score_gpt":0.3248738224310622,"score_spread":0.2347829491094261,"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."}}