{"id":"W2965772015","doi":"10.36834/cmej.43337","title":"Keeping busy learners informed: email is most useful for medical residents!","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Orientation (vector space); Computer science; World Wide Web; Rotation (mathematics); Medical education; Medicine; Artificial intelligence; Mathematics","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":[0.005088042,0.0003864279,0.0004543949,0.0007062235,0.002819268,0.003868562,0.0006771769,0.001789705,0.02767773],"category_scores_gemma":[0.0377165,0.0002689748,0.000325287,0.0007836631,0.001221783,0.004429112,0.002284027,0.001517646,0.01062113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009140052,"about_ca_system_score_gemma":0.003028784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818932,"about_ca_topic_score_gemma":0.004259652,"domain_scores_codex":[0.996135,0.001984443,0.0002531174,0.0001900971,0.0009608076,0.000476485],"domain_scores_gemma":[0.9818391,0.005725733,0.002823174,0.0008024261,0.002864361,0.005945201],"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":[0.0001995502,0.0005949643,0.04698855,0.001696521,0.00004610773,0.001315542,0.0267881,0.00008483753,0.002401024,0.0008235221,0.2910793,0.627982],"study_design_scores_gemma":[0.0001663911,0.001529651,0.1215857,0.00579647,0.0002471097,0.008062739,0.1060616,0.0003570397,0.004071593,0.004250037,0.7475557,0.0003158861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4940645,0.01509358,0.01699166,0.2444693,0.005785857,0.00130936,0.001559659,0.005442836,0.2152832],"genre_scores_gemma":[0.853187,0.01324781,0.04210997,0.04906313,0.002346624,0.0007309734,0.0006217203,0.0006234024,0.03806931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02767773,"threshold_uncertainty_score":0.09259129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327462993911147,"score_gpt":0.338262613209976,"score_spread":0.3249879832708645,"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."}}