{"id":"W4386953567","doi":"10.1371/journal.pmed.1004293","title":"Recommendations on data sharing in HIV drug resistance research","year":2023,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"National Institute of Allergy and Infectious Diseases; Centers for Disease Control and Prevention; ViiV Healthcare; Medical Research Council; Gilead Sciences","keywords":"Drug resistance; Medicine; HIV drug resistance; Drug; Antiretroviral drug; Transmission (telecommunications); Human immunodeficiency virus (HIV); Intensive care medicine; Virology; Biology; Viral load; Pharmacology; Antiretroviral therapy; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2608751,0.002561788,0.00435523,0.01102445,0.004657048,0.01440545,0.01778052,0.04135931,0.07734195],"category_scores_gemma":[0.5914631,0.004797812,0.01081499,0.01670159,0.009091685,0.02682532,0.01648068,0.02975921,0.06279404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009145005,"about_ca_system_score_gemma":0.08082792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02587415,"about_ca_topic_score_gemma":0.02517623,"domain_scores_codex":[0.6777275,0.1768378,0.06893111,0.00680065,0.05878825,0.01091471],"domain_scores_gemma":[0.1979247,0.3833195,0.04075296,0.07145057,0.2714641,0.03508827],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001340726,0.0001397474,0.0005215362,0.004072045,0.0001000588,0.0001485309,0.0004640459,0.0003026518,0.0001998143,0.005498185,0.9290856,0.05933368],"study_design_scores_gemma":[0.0003111246,0.00006902314,0.001160015,0.01291834,0.0001198285,0.0001718675,0.0006024857,0.0002956036,0.0002647573,0.008951826,0.9749945,0.000140561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0007917432,0.01047362,0.04067388,0.7328615,0.05529223,0.02464039,0.02556455,0.006922346,0.1027797],"genre_scores_gemma":[0.005368382,0.01756171,0.2325743,0.6211215,0.0104764,0.03385274,0.02171258,0.003102639,0.05422992],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9822195,"threshold_uncertainty_score":0.9114726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.365614082148529,"score_gpt":0.4488690561581598,"score_spread":0.08325497400963078,"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."}}