{"id":"W2103241690","doi":"10.3109/0142159x.2014.993371","title":"Twitter as a tool for communication and knowledge exchange in academic medicine: A guide for skeptics and novices","year":2014,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":280,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Skepticism; Quality (philosophy); Order (exchange); Public relations; Health care; Health professionals; Knowledge management; Engineering ethics; Information overload; Psychology; Medical education; Political science; Computer science; Medicine; Business; World Wide Web; Engineering; Epistemology","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":[0.02751426,0.002072928,0.001717017,0.006079429,0.007613003,0.01529123,0.003003924,0.01080274,0.008606173],"category_scores_gemma":[0.02845739,0.001638362,0.001167813,0.003258235,0.01105036,0.02591163,0.01024924,0.009167214,0.01085898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003670306,"about_ca_system_score_gemma":0.006458448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003473807,"about_ca_topic_score_gemma":0.009423506,"domain_scores_codex":[0.9796978,0.01556698,0.00207715,0.0003642431,0.0018535,0.0004404821],"domain_scores_gemma":[0.965206,0.02619165,0.001550445,0.001039456,0.003360683,0.002651789],"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":[0.0001558257,0.0003597546,0.002242298,0.003111169,0.00004247397,0.002069141,0.08505031,0.0003588469,0.002742556,0.02447297,0.5266639,0.3527308],"study_design_scores_gemma":[0.00004531887,0.000164978,0.001135341,0.00345604,0.00002236455,0.001750574,0.05294417,0.0005933362,0.0004235359,0.01722881,0.9221137,0.0001218604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01010049,0.0748701,0.04993742,0.7815245,0.01086796,0.003612864,0.001080524,0.00231137,0.06569482],"genre_scores_gemma":[0.08555663,0.1980251,0.3936878,0.1453876,0.01528782,0.02330107,0.001501523,0.002064533,0.135188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847088,"threshold_uncertainty_score":0.1455111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604325987501646,"score_gpt":0.4957374027620428,"score_spread":0.3353048040118782,"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."}}