{"id":"W3201640522","doi":"10.1089/aid.2021.0106","title":"Predictive Factors of Detectable Viral Load in HIV-Infected Patients","year":2021,"lang":"en","type":"article","venue":"AIDS Research and Human Retroviruses","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Université de Montréal; Montreal General Hospital","funders":"","keywords":"Viral load; Medicine; Logistic regression; Ambulatory; Internal medicine; Retrospective cohort study; Stepwise regression; Viremia; Cohort; Akaike information criterion; Immunology; Human immunodeficiency virus (HIV)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005555588,0.0002900768,0.0003026045,0.001068482,0.0006723195,0.0009804921,0.0005413481,0.0005334967,0.001416082],"category_scores_gemma":[0.004315807,0.0002620279,0.000309287,0.001163563,0.0003907566,0.0003740633,0.0003666247,0.0006860527,0.0001662282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005944411,"about_ca_system_score_gemma":0.0007837778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227972,"about_ca_topic_score_gemma":0.01946809,"domain_scores_codex":[0.9995525,0.0001214521,0.00004406261,0.00006858635,0.0001165657,0.00009675916],"domain_scores_gemma":[0.9979382,0.0005879454,0.0008403934,0.00007825744,0.0001795859,0.0003756121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004020229,0.00001157968,0.9992651,0.000002642097,0.000006375719,0.00009543759,0.00002925308,0.00002362563,0.00004524217,0.000007979438,0.00003899918,0.0004335113],"study_design_scores_gemma":[0.000005348493,0.00006785471,0.9988181,0.000007779666,0.00001540836,0.0003654639,0.0001605792,0.0003859073,0.0000457348,0.00003041569,0.00009349823,0.00000392854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990255,0.0003277215,0.00005837218,0.00005996482,0.000005011172,0.00001001782,0.0001356746,0.000005064979,0.0003727727],"genre_scores_gemma":[0.9997106,0.00006192372,0.00004973818,0.00001261024,0.000007898468,0.000003667535,0.0001054619,0.000001101468,0.00004704596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02227972,"threshold_uncertainty_score":0.04430014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271696609970366,"score_gpt":0.37469886396637,"score_spread":0.3219818978666663,"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."}}