{"id":"W2909502355","doi":"10.1016/j.prro.2018.08.004","title":"Taking off the Training Wheels","year":2019,"lang":"en","type":"article","venue":"Practical Radiation Oncology","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Finish line; Medical education; Training (meteorology); Phrase; Medical school; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01519027,0.00110298,0.001111389,0.001916169,0.0127528,0.014202,0.003521713,0.009915616,0.1807666],"category_scores_gemma":[0.0359423,0.0006506772,0.001600917,0.0009530263,0.00883525,0.01307727,0.01778015,0.02652142,0.04756992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006152598,"about_ca_system_score_gemma":0.02355952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006599931,"about_ca_topic_score_gemma":0.01567392,"domain_scores_codex":[0.9853763,0.003698111,0.0004359175,0.001529915,0.005321742,0.003637966],"domain_scores_gemma":[0.9306623,0.007241586,0.00158416,0.003176356,0.0108493,0.04648625],"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":[0.0001184794,0.0004594114,0.001797776,0.0001806705,0.0000190635,0.0001401936,0.001859229,0.0002057135,0.000757698,0.0404418,0.8271725,0.1268476],"study_design_scores_gemma":[0.00006064821,0.0002110575,0.003626436,0.0007135771,0.00001165484,0.0002087075,0.007050653,0.0002574227,0.0003510764,0.03140252,0.956045,0.00006124489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01197031,0.00369642,0.006889354,0.7995821,0.04426448,0.0001435983,0.0002174128,0.000654157,0.1325821],"genre_scores_gemma":[0.1456932,0.005158233,0.01076705,0.4738518,0.01460115,0.0004217614,0.0003794146,0.001043697,0.3480836],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1807666,"threshold_uncertainty_score":0.6047245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06699566500843802,"score_gpt":0.4553628712499937,"score_spread":0.3883672062415557,"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."}}