{"id":"W3111123667","doi":"10.7326/m20-6519","title":"Hydroxychloroquine as Postexposure Prophylaxis to Prevent Severe Acute Respiratory Syndrome Coronavirus 2 Infection","year":2020,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; NYU Grossman School of Medicine; University of California, Los Angeles; State University of New York Upstate Medical University; York University; Tulane University; Syracuse University; University of Washington; School of Medicine, Boston University; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Medicine; Hydroxychloroquine; Respiratory system; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Pneumonia; Betacoronavirus; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Intensive care medicine; Virology; Immunology; Internal medicine; Disease; Outbreak","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008044549,0.0002974649,0.0009686519,0.0002387508,0.00005073462,0.000007513022,0.00028197,0.0001338445,0.001136244],"category_scores_gemma":[0.02381277,0.0002149498,0.0002344295,0.0005726831,0.0002833851,0.0001081991,0.0003745692,0.00065592,0.0003486005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007522132,"about_ca_system_score_gemma":0.000210437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043972,"about_ca_topic_score_gemma":0.00002470569,"domain_scores_codex":[0.9967141,0.0001322646,0.000967939,0.0005477209,0.001203291,0.0004347376],"domain_scores_gemma":[0.9967135,0.000875026,0.0002576885,0.000430627,0.0007819135,0.0009412643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03867146,0.003611075,0.2746136,0.008603936,0.009053522,0.01234705,0.008741471,0.0002411785,0.2416116,0.0003308618,0.1691786,0.2329956],"study_design_scores_gemma":[0.008179675,0.2621866,0.42633,0.008423388,0.0006749124,0.0004167804,0.0002206897,0.0001508687,0.06416268,0.000587121,0.2278017,0.0008655061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132832,0.0006169253,0.0001392398,0.0831611,0.0002784872,0.0009820234,0.00003147733,0.00007758776,0.001429952],"genre_scores_gemma":[0.9395714,0.000467411,0.00003998051,0.05817692,0.0005457717,0.00003809185,0.000007738267,0.00003533553,0.001117338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2585756,"threshold_uncertainty_score":0.9997768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141659794356396,"score_gpt":0.4604075812926794,"score_spread":0.3462416018570398,"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."}}