{"id":"W4200035786","doi":"10.3390/pathogens10121587","title":"HIV Pretreatment Drug Resistance Trends in Mexico City, 2017–2020","year":2021,"lang":"en","type":"article","venue":"Pathogens","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Consejo Nacional de Ciencia y Tecnología; AIDS Healthcare Foundation","keywords":"Human immunodeficiency virus (HIV); Drug resistance; HIV drug resistance; Drug; Virology; Medicine; Pharmacology; Antiretroviral therapy; Biology; Viral load; Microbiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003843357,0.0002520663,0.0002534969,0.0009887471,0.000600177,0.0008705744,0.0003317711,0.0003561689,0.00182944],"category_scores_gemma":[0.0008548325,0.0001824619,0.0003692975,0.001200439,0.0002055295,0.0004833174,0.0005146246,0.0005622882,0.0002648803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683759,"about_ca_system_score_gemma":0.00122525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1585691,"about_ca_topic_score_gemma":0.1534735,"domain_scores_codex":[0.9997963,0.00002904987,0.00001510425,0.0000510531,0.00003707546,0.00007140044],"domain_scores_gemma":[0.9993241,0.00003728336,0.0003984564,0.00002441451,0.0001345063,0.00008125236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001132745,0.0000406784,0.9951618,0.00002744965,0.00005320208,0.0000628288,0.0001605207,0.0000631762,0.0001218721,0.00003095364,0.001611331,0.002552805],"study_design_scores_gemma":[0.000006732374,0.00002511376,0.9980773,0.00001888957,0.00003122929,0.00007656735,0.0003734053,0.00008597449,0.00004524747,0.0000074227,0.001248908,0.000003257743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887978,0.0006398018,0.00006284401,0.0004078985,0.00001887326,0.0000143291,0.009135779,0.00001596354,0.0009066741],"genre_scores_gemma":[0.9821497,0.001100669,0.0002158014,0.0001735671,0.00006824998,0.00005614122,0.01530849,0.000009538708,0.0009179647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1585691,"threshold_uncertainty_score":0.3152922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004639863229454,"score_gpt":0.3361893907797815,"score_spread":0.306142992147487,"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."}}