{"id":"W3151165382","doi":"10.1007/s43678-020-00069-5","title":"Infographics, podcasts, and blogs: a multi-channel, asynchronous, digital faculty experience to improve clinical teaching (MAX FacDev)","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Clinical Oncology Group; McMaster University","funders":"","keywords":"Attendance; Library science; Asynchronous communication; Medical education; Medicine; Political science; Sociology; Computer science; Telecommunications","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":[0.001766952,0.0004502083,0.000155741,0.0007993421,0.001612384,0.002806373,0.0003963822,0.0007969334,0.02634964],"category_scores_gemma":[0.002840954,0.0001732773,0.0002317054,0.0003771398,0.0008696926,0.002062831,0.003139107,0.001418588,0.004491008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683033,"about_ca_system_score_gemma":0.001726297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332637,"about_ca_topic_score_gemma":0.008507163,"domain_scores_codex":[0.9995652,0.0001573588,0.0000163039,0.00006101111,0.0001352275,0.00006480789],"domain_scores_gemma":[0.9973505,0.0007755462,0.00009102654,0.00007140818,0.0001587752,0.001552787],"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":[0.0001525181,0.000309837,0.001571199,0.0002895299,0.000009636034,0.0002212054,0.006723181,0.00009930699,0.005001872,0.001584734,0.4631626,0.5208744],"study_design_scores_gemma":[0.0001008477,0.0004691551,0.01297678,0.0004188207,0.0000311713,0.001134413,0.01044559,0.0006952534,0.002930215,0.00197698,0.9687397,0.00008090116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1975127,0.02804975,0.05639116,0.2422551,0.04934873,0.001066953,0.003070029,0.01230109,0.4100044],"genre_scores_gemma":[0.3274589,0.02130054,0.07256648,0.02844839,0.01661474,0.0009228564,0.0008706349,0.002847341,0.5289701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02634964,"threshold_uncertainty_score":0.0881483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2787443884293109,"score_gpt":0.49862518953035,"score_spread":0.2198808011010391,"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."}}