{"id":"W2583291693","doi":"10.2196/publichealth.6174","title":"Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Drug and Alcohol Research Centre; Medical Research Council; Australian Government; GlaxoSmithKline","keywords":"Context (archaeology); Active listening; Social media; Medicine; Psychology; Internet privacy; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.006574643,0.000585182,0.0004858889,0.01685436,0.000862033,0.00138379,0.0005159274,0.0005508079,0.002204816],"category_scores_gemma":[0.01933014,0.000202962,0.0005840684,0.006719904,0.0009417058,0.001616822,0.0019192,0.0005304334,0.0008015442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035461,"about_ca_system_score_gemma":0.001015334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076552,"about_ca_topic_score_gemma":0.003873758,"domain_scores_codex":[0.9963472,0.001405779,0.0006397968,0.0004912213,0.0008760319,0.0002398325],"domain_scores_gemma":[0.9675301,0.0207861,0.00434201,0.001266233,0.005504724,0.0005707768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001751764,0.001072142,0.3992833,0.006131953,0.0002478516,0.001414948,0.1231638,0.0008584769,0.06241539,0.001674983,0.009009455,0.3929759],"study_design_scores_gemma":[0.00007741959,0.001166798,0.9079168,0.0006761469,0.0002629535,0.0007510877,0.04690598,0.009994749,0.0128372,0.001219346,0.01800754,0.0001840425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778575,0.0001799869,0.005818935,0.0002637265,0.00004767104,0.003220138,0.007920644,0.0002194153,0.004471982],"genre_scores_gemma":[0.9298264,0.0003674533,0.04820304,0.000229368,0.0001950709,0.007144778,0.01121417,0.0001065075,0.00271329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01685436,"threshold_uncertainty_score":0.03477049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6160078940471051,"score_gpt":0.5527913765552113,"score_spread":0.06321651749189383,"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."}}