{"id":"W2116679940","doi":"10.1111/medu.12585","title":"Teaching medical students social media: must or bust","year":2014,"lang":"en","type":"article","venue":"Medical Education","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bust; Citation; Social media; Library science; Medical school; Medical library; Medical education; Psychology; Medicine; Computer science; World Wide Web; Engineering","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":[0.01975985,0.000696776,0.0009284561,0.002276554,0.009203541,0.01940061,0.001676205,0.009185337,0.05950223],"category_scores_gemma":[0.04525467,0.0007219011,0.0007690474,0.001789349,0.01085657,0.0208198,0.01273349,0.01165174,0.01458674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004423686,"about_ca_system_score_gemma":0.01445311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005331457,"about_ca_topic_score_gemma":0.02659508,"domain_scores_codex":[0.989356,0.004400367,0.0006039087,0.000767004,0.003222883,0.001649928],"domain_scores_gemma":[0.9323262,0.01404946,0.003707331,0.0028829,0.009489459,0.03754466],"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":[0.0002085645,0.0003867063,0.01001059,0.0006675827,0.000061598,0.0002123272,0.003765797,0.00007246724,0.0008125123,0.03438069,0.6781749,0.2712462],"study_design_scores_gemma":[0.0002258987,0.0009061276,0.02438904,0.004439245,0.0001357748,0.000621393,0.0617351,0.0006004116,0.001033459,0.08629531,0.8194114,0.0002069615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006288225,0.004798904,0.0007687108,0.9291389,0.0187382,0.00004706446,0.00007569075,0.0002314357,0.03991299],"genre_scores_gemma":[0.2988657,0.01229822,0.006479355,0.5276195,0.03978969,0.0002005868,0.0001880256,0.0005698937,0.1139889],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05950223,"threshold_uncertainty_score":0.1990548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0646751461997696,"score_gpt":0.4831668896960152,"score_spread":0.4184917434962456,"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."}}