{"id":"W2996343058","doi":"10.1007/s40037-019-00542-7","title":"Social media in knowledge translation and education for physicians and trainees: a scoping review","year":2019,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Uniformed Services University of the Health Sciences","keywords":"Social media; Knowledge translation; Medical education; Scholarship; Scopus; Medicine; MEDLINE; Psychology; Knowledge management; Computer science; World Wide Web; Political 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03985064,0.001926267,0.004098954,0.03588233,0.002870951,0.008800534,0.002433632,0.005067744,0.007062294],"category_scores_gemma":[0.1554435,0.001383861,0.003930578,0.03791918,0.003322625,0.008418198,0.006741682,0.002860127,0.001637118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006830156,"about_ca_system_score_gemma":0.04670367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048643,"about_ca_topic_score_gemma":0.01887124,"domain_scores_codex":[0.9690074,0.01297424,0.01046464,0.001373143,0.005417624,0.0007629489],"domain_scores_gemma":[0.8214196,0.1361981,0.01633465,0.003869638,0.0207376,0.001440449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008565363,0.00006244904,0.0009454651,0.6559294,0.0008425505,0.0002051849,0.002485155,0.0001826994,0.0002331118,0.003208687,0.009507922,0.3263116],"study_design_scores_gemma":[0.00001580948,0.00003697256,0.0007436736,0.9467496,0.001272932,0.0001344848,0.001112392,0.00006778546,0.0001278676,0.0009548349,0.048765,0.00001858331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009073614,0.9884415,0.0009732803,0.003292188,0.0006884233,0.001354207,0.000421717,0.00002573526,0.003895611],"genre_scores_gemma":[0.007779631,0.9849201,0.002545909,0.000947421,0.0003066126,0.002735056,0.0003242411,0.00001408506,0.0004269225],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9911995,"threshold_uncertainty_score":0.2107528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322904229763501,"score_gpt":0.4958751900159354,"score_spread":0.3635847670395853,"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."}}