{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003955407,0.0004718839,0.000771892,0.0008043557,0.005718495,0.006401837,0.001118805,0.05141342,0.01400929],"category_scores_gemma":[0.0379675,0.0005589701,0.0009248564,0.0007242724,0.004236024,0.007125712,0.003174226,0.04276234,0.006064957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003236216,"about_ca_system_score_gemma":0.004657636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006680983,"about_ca_topic_score_gemma":0.01380707,"domain_scores_codex":[0.9964411,0.001366097,0.0004086878,0.0003103929,0.001008636,0.0004650342],"domain_scores_gemma":[0.9759457,0.01444572,0.002065354,0.0005658583,0.002228792,0.00474875],"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":[0.0000710341,0.00008656082,0.003912034,0.000141873,0.00002424099,0.00462993,0.001640429,0.00005933412,0.0003104291,0.006568209,0.9592748,0.02328105],"study_design_scores_gemma":[0.0001124076,0.0001220364,0.005678293,0.001171799,0.00004171403,0.003575302,0.005871807,0.0005142359,0.0002770832,0.01516502,0.9673688,0.000101456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005665951,0.0006691308,0.00001535965,0.990977,0.005408582,0.000002889888,0.00002195507,0.000003621494,0.002334685],"genre_scores_gemma":[0.01568144,0.002961961,0.0001230982,0.9075032,0.06476122,0.00002711308,0.00002439345,0.00002146741,0.008896046],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05141342,"threshold_uncertainty_score":0.04686576,"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."}}