{"id":"W4283707955","doi":"10.36834/cmej.74918","title":"Caught and taught: a call to improve digital professionalism among medical students","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lee Kong Chian School of Medicine, Nanyang Technological University","keywords":"Computer science; Medical education; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02961804,0.000882868,0.001285449,0.001936394,0.01350165,0.012272,0.006695223,0.03362804,0.05090308],"category_scores_gemma":[0.08578917,0.001023433,0.001469092,0.001841775,0.007253553,0.01885769,0.02358349,0.02864396,0.01053003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008320136,"about_ca_system_score_gemma":0.08240014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0175243,"about_ca_topic_score_gemma":0.04324403,"domain_scores_codex":[0.9772019,0.008697254,0.001053666,0.00134973,0.006708047,0.004989335],"domain_scores_gemma":[0.8643457,0.02680475,0.004817019,0.00421246,0.009157661,0.09066232],"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":[0.0001326438,0.001777105,0.00318343,0.0008387887,0.00003577106,0.0004470371,0.007657241,0.00008176437,0.0009478236,0.003934401,0.7345266,0.2464374],"study_design_scores_gemma":[0.0007711873,0.001934638,0.04520167,0.005332272,0.0001237994,0.0009101942,0.05459501,0.0004804407,0.001525417,0.01767938,0.8711078,0.0003381112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003760823,0.001606583,0.0004427153,0.9871639,0.003184586,0.0001061695,0.00006039194,0.000238162,0.003436668],"genre_scores_gemma":[0.08314599,0.00786936,0.0126666,0.8659052,0.004947933,0.001275779,0.0003336679,0.0003158101,0.02353975],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05090308,"threshold_uncertainty_score":0.1702878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373308847217231,"score_gpt":0.3744994855760028,"score_spread":0.3607663971038305,"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."}}