{"id":"W2602575848","doi":"10.2196/publichealth.6313","title":"Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":280,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Medical Research Council; Public Health Agency; National Institute for Health and Care Research; United Kingdom Clinical Research Collaboration","keywords":"Bespoke; Social media; Population; Public health; Social marketing; Health communication; Medicine; Disgust; Internet privacy; Psychology; Advertising; Social psychology; World Wide Web; Computer science; Environmental health; Nursing; Business; Pathology; Communication","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005397695,0.0005429537,0.0003820148,0.001953762,0.0009593899,0.002136264,0.0008609638,0.001052468,0.009123223],"category_scores_gemma":[0.01980011,0.0002511083,0.0006265515,0.0008386736,0.0006458132,0.002595237,0.001975371,0.001018262,0.001574782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884015,"about_ca_system_score_gemma":0.0009419247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182114,"about_ca_topic_score_gemma":0.002388401,"domain_scores_codex":[0.9958688,0.00282676,0.0001620019,0.0003071935,0.0006428643,0.0001923861],"domain_scores_gemma":[0.9848456,0.01170858,0.001313713,0.0006870725,0.0006817282,0.0007631405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001226033,0.002865735,0.0155656,0.002853048,0.0002114209,0.0001754478,0.00547657,0.0005494629,0.01017157,0.00136532,0.01398987,0.94555],"study_design_scores_gemma":[0.006603342,0.05415982,0.3183627,0.008503088,0.003795315,0.001733143,0.02794722,0.0394646,0.0677356,0.03473298,0.4358003,0.00116182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7994871,0.006856754,0.08063955,0.02316592,0.00230779,0.01111239,0.003393559,0.005430715,0.06760626],"genre_scores_gemma":[0.8713077,0.003111092,0.1049202,0.003330992,0.001046407,0.007342703,0.000781835,0.0002128951,0.007946339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978637,"threshold_uncertainty_score":0.03052026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3920716810377564,"score_gpt":0.5136536795983313,"score_spread":0.1215819985605749,"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."}}