{"id":"W2781518627","doi":"10.2196/publichealth.7823","title":"Social Media Impact of the Food and Drug Administration's Drug Safety Communication Messaging About Zolpidem: Mixed-Methods Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hamilton Health Sciences Foundation","keywords":"Social media; Zolpidem; Food and drug administration; Medicine; Internet privacy; Public health; Advertising; World Wide Web; Computer science; Business; Pharmacology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02841559,0.001228021,0.001761928,0.003961978,0.001323068,0.002953587,0.002348574,0.001728325,0.009582805],"category_scores_gemma":[0.06224737,0.0007501728,0.007173868,0.003784945,0.001104009,0.002588186,0.002662639,0.002866793,0.001596789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424158,"about_ca_system_score_gemma":0.001712812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007497,"about_ca_topic_score_gemma":0.006962075,"domain_scores_codex":[0.9752092,0.01549096,0.001878443,0.003302722,0.002617782,0.001500868],"domain_scores_gemma":[0.9209225,0.06162022,0.008988756,0.003974539,0.003388449,0.001105576],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01131086,0.005399669,0.8684347,0.005740446,0.02746706,0.0006532107,0.007451141,0.003649933,0.001352025,0.003063014,0.01170702,0.05377099],"study_design_scores_gemma":[0.0009837936,0.007396443,0.9239368,0.001154486,0.01280644,0.0003727774,0.00937169,0.03062097,0.00160101,0.002538653,0.008932549,0.0002844915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685832,0.002132688,0.007635458,0.0006657669,0.0002470958,0.003627538,0.01398485,0.0001663402,0.002956989],"genre_scores_gemma":[0.9661501,0.0006146089,0.01008437,0.0006870032,0.0002410486,0.01355829,0.006206628,0.0001306343,0.002327283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9715844,"threshold_uncertainty_score":0.1502778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0930005130886447,"score_gpt":0.4966942208481064,"score_spread":0.4036937077594617,"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."}}