{"id":"W2561854801","doi":"10.1016/j.cardfail.2016.12.005","title":"The Impact and Implications of Twitter for Cardiovascular Medicine","year":2016,"lang":"en","type":"letter","venue":"Journal of Cardiac Failure","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian VIGOUR Centre; University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Social media; eHealth; Public health; Health care; Internet privacy; Public relations; Nursing; World Wide Web; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003604672,0.0001540966,0.0007580406,0.0001387096,0.0004165946,0.00003543472,0.00035621,0.000494633,0.0000183036],"category_scores_gemma":[0.003979446,0.00008274268,0.001137343,0.0001839314,0.0006349189,0.0001185535,0.00001695505,0.0006320302,0.000001234159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031693,"about_ca_system_score_gemma":0.001101314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004930597,"about_ca_topic_score_gemma":0.00002035939,"domain_scores_codex":[0.997572,0.0005697464,0.000608137,0.0001360913,0.0007518469,0.0003621445],"domain_scores_gemma":[0.9909837,0.006319623,0.0009403714,0.0003295776,0.001288769,0.0001379171],"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":[0.000007381452,0.000001927456,0.001170037,0.0000526972,0.0006915822,5.481846e-7,0.003551301,2.144454e-7,0.0000124324,0.00009825134,0.9689987,0.02541491],"study_design_scores_gemma":[0.0001730948,0.00008680692,0.004494188,0.0001699032,0.0004603484,0.000005483267,0.001038777,3.023268e-8,0.000003474866,0.003513305,0.98997,0.00008459888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0008127377,0.02321915,0.000112176,0.9690951,0.005247863,0.001061504,0.00004545434,0.000005486791,0.0004005679],"genre_scores_gemma":[0.04155466,0.07864515,0.003080106,0.1575549,0.7149886,0.002143753,0.00008260192,0.000371513,0.001578776],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8115402,"threshold_uncertainty_score":0.4764056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904101090664617,"score_gpt":0.3911963901982278,"score_spread":0.3321553792915816,"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."}}