{"id":"W2471399880","doi":"10.1503/cmaj.160255","title":"Gaining competence through social media","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Social media; Computer science; World Wide Web; Competence (human resources); Multimedia; Medical information; Knowledge management; Internet privacy; Medical education; Data science; Medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003584093,0.0003857233,0.0003376221,0.002057629,0.002086714,0.007087776,0.0006831947,0.001215289,0.02082186],"category_scores_gemma":[0.01728271,0.0001661192,0.0003605596,0.0006390647,0.002586706,0.005113103,0.007486513,0.001775372,0.00654259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205942,"about_ca_system_score_gemma":0.003158558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504283,"about_ca_topic_score_gemma":0.005662337,"domain_scores_codex":[0.9950475,0.001884913,0.0001696839,0.0003428745,0.001687554,0.000867565],"domain_scores_gemma":[0.9902153,0.002815062,0.0009567004,0.0007267643,0.002090822,0.003195311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001186955,0.001654812,0.080884,0.0005815803,0.0000801805,0.001353235,0.1569699,0.0003047806,0.005523581,0.03684935,0.06345241,0.6522275],"study_design_scores_gemma":[0.00009498135,0.001101707,0.1817189,0.002221565,0.0001094105,0.002342814,0.2138235,0.001467915,0.005189237,0.05961856,0.5320752,0.0002362072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5549061,0.001178999,0.004692963,0.01540252,0.0003251735,0.0002263605,0.0002143604,0.0002940964,0.4227594],"genre_scores_gemma":[0.9573209,0.00142824,0.003516755,0.001240369,0.00008536605,0.0001416259,0.0001796202,0.00004683985,0.03604031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02082186,"threshold_uncertainty_score":0.06965607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07476940861523476,"score_gpt":0.3632273369118371,"score_spread":0.2884579282966023,"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."}}