{"id":"W1841827866","doi":"10.2196/publichealth.4488","title":"Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter","year":2015,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Internet privacy; Adverse effect; Human immunodeficiency virus (HIV); Drug; Medicine; Public health; Psychology; Intensive care medicine; Computer science; Psychiatry; Pharmacology; Family medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008820203,0.0002034713,0.0003998637,0.0001349538,0.0002104472,0.00002181793,0.00007573875,0.000114373,0.00002419845],"category_scores_gemma":[0.0001064948,0.000187784,0.00005401351,0.0002311964,0.0001252904,0.0002376879,0.00005741061,0.0002503648,0.00001261275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233144,"about_ca_system_score_gemma":0.000414561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008666326,"about_ca_topic_score_gemma":0.00002629186,"domain_scores_codex":[0.9980215,0.0006441898,0.0003524605,0.0002981612,0.0001420916,0.0005416223],"domain_scores_gemma":[0.9983552,0.000279725,0.0002657144,0.0001237364,0.00009777279,0.0008778866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001530932,0.0008476667,0.9675516,0.0004171517,0.0003766821,0.00003330036,0.007403171,0.00004874649,0.004424856,0.00006152998,0.01173864,0.006943529],"study_design_scores_gemma":[0.03433201,0.0006460607,0.1621882,0.0001758309,0.0000830674,0.0001398604,0.005577242,0.02210199,0.003424598,0.0002630758,0.7696118,0.001456277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948006,0.001545588,0.00004327076,0.001777296,0.0006630689,0.000577136,0.00005203287,0.00006241964,0.0004786002],"genre_scores_gemma":[0.9959297,0.0009538606,0.000057408,0.001896783,0.00009476513,0.0000467164,0.00005849323,0.00001657232,0.0009457187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8053634,"threshold_uncertainty_score":0.7657609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1876835359036413,"score_gpt":0.4635258085651492,"score_spread":0.275842272661508,"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."}}