{"id":"W2009697739","doi":"10.1016/j.annemergmed.2014.05.015","title":"Global Emergency Medicine Journal Club: Social Media Responses to the January 2014 Online Emergency Medicine Journal Club on Subarachnoid Hemorrhage∗","year":2014,"lang":"en","type":"article","venue":"Annals of Emergency Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"Journal club; Medicine; Social media; Annals; Club; Session (web analytics); Subarachnoid hemorrhage; Medical emergency; Medical education; World Wide Web; Surgery","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":[0.006740203,0.0008668511,0.0003599212,0.002351864,0.009974196,0.00633287,0.0008978392,0.002757755,0.01475954],"category_scores_gemma":[0.02925291,0.0003896193,0.0003665876,0.001762925,0.001916879,0.003491503,0.008581619,0.003491279,0.003430818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667918,"about_ca_system_score_gemma":0.001506239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188074,"about_ca_topic_score_gemma":0.00661996,"domain_scores_codex":[0.9948967,0.003050991,0.0001770495,0.0002725906,0.0009124161,0.0006902132],"domain_scores_gemma":[0.9629637,0.01915438,0.003405801,0.00127738,0.003376604,0.00982218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008059333,0.001344013,0.0372528,0.0008186414,0.0001077049,0.004703824,0.1462801,0.0003095959,0.003902291,0.003494607,0.6182823,0.1826981],"study_design_scores_gemma":[0.0002071565,0.001199501,0.07459661,0.0006851336,0.00006957872,0.001477822,0.2082998,0.001601546,0.002678255,0.003871729,0.7050869,0.0002259105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6463326,0.002308906,0.004905865,0.1664844,0.02106419,0.001821769,0.004352326,0.002143501,0.1505865],"genre_scores_gemma":[0.8721201,0.001974821,0.009617238,0.04430543,0.02036867,0.001860172,0.002071813,0.0008376796,0.04684392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01475954,"threshold_uncertainty_score":0.04937559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2508339803167478,"score_gpt":0.4940171027924457,"score_spread":0.243183122475698,"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."}}