{"id":"W2802660728","doi":"10.1017/cjn.2018.20","title":"Training and Regulating Clinical Scientists in Canada: Online Training for Intraoperative Neuromonitoring?","year":2018,"lang":"en","type":"letter","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Training (meteorology); Action (physics); Content (measure theory); Medicine; Medical education; Physical medicine and rehabilitation; Computer science; Medical physics; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002574102,0.0003774862,0.0004022821,0.0005777656,0.01387819,0.003261034,0.002603921,0.02276155,0.01615592],"category_scores_gemma":[0.01822669,0.0004173295,0.0005027302,0.0009786204,0.004430037,0.003227917,0.003575935,0.01998782,0.002277406],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03043731,"about_ca_system_score_gemma":0.09429225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5800406,"about_ca_topic_score_gemma":0.8054509,"domain_scores_codex":[0.9955258,0.0006745355,0.0002499807,0.000284097,0.00122337,0.002042334],"domain_scores_gemma":[0.9809933,0.003307294,0.0008949707,0.0003217393,0.00360209,0.01088062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005473044,0.0001683988,0.008697314,0.0001488493,0.00001175492,0.01849731,0.001875972,0.0001719735,0.0006772645,0.004438276,0.9350629,0.03019531],"study_design_scores_gemma":[0.0001310943,0.0001194363,0.01909201,0.001286216,0.00003137134,0.01489582,0.01650049,0.001005868,0.0004592483,0.008658049,0.937681,0.0001396117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003135402,0.0007426305,0.0001452202,0.9807278,0.005103017,0.00002872676,0.00003087827,0.00002617523,0.01006009],"genre_scores_gemma":[0.07474711,0.003297539,0.001161538,0.8893599,0.007073716,0.0001102629,0.00007835693,0.00007726596,0.02409425],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9695627,"threshold_uncertainty_score":0.8448652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721034385059431,"score_gpt":0.3686247666070156,"score_spread":0.1965213281010725,"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."}}