{"id":"W4385245021","doi":"10.3390/v15071606","title":"Adaptation of Droplet Digital PCR-Based HIV Transcription Profiling to Digital PCR and Association of HIV Transcription and Total or Intact HIV DNA","year":2023,"lang":"en","type":"article","venue":"Viruses","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Infection and Immunity; National Institute of Allergy and Infectious Diseases; National Health and Medical Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; Medical Research Council; University of California, San Francisco","keywords":"Digital polymerase chain reaction; Biology; Transcription (linguistics); Viremia; Human immunodeficiency virus (HIV); Reverse transcriptase; RNA; Virology; DNA; Molecular biology; Genetics; Polymerase chain reaction; Gene","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":[0.001971092,0.0006397997,0.0005229007,0.0007752122,0.0002795908,0.0009551542,0.0008175712,0.0005275455,0.001084457],"category_scores_gemma":[0.003194442,0.0004701091,0.0003644374,0.0006934356,0.0007351016,0.0004524306,0.0007036864,0.000871965,0.0007068669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000497722,"about_ca_system_score_gemma":0.0004221333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000717,"about_ca_topic_score_gemma":0.001686118,"domain_scores_codex":[0.9963954,0.0006282966,0.0002202097,0.001329651,0.001281462,0.000144974],"domain_scores_gemma":[0.99843,0.0006702901,0.0002490352,0.0002486629,0.0003561318,0.00004597463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009567769,0.00006459409,0.003390208,0.0001420331,0.00001741442,0.00004761511,0.0001329319,0.000476153,0.9748936,0.0003476565,0.0001904385,0.02020162],"study_design_scores_gemma":[0.00001698302,0.0003568881,0.007117143,0.00001648363,0.00003058807,0.0004685575,0.00006150563,0.008407145,0.9793152,0.0002965542,0.003870292,0.0000427938],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3567389,0.00190332,0.6323361,0.0002418009,0.0002094276,0.001332691,0.001950831,0.001277252,0.004009612],"genre_scores_gemma":[0.3856153,0.001195615,0.6038465,0.0005160556,0.0000752986,0.001806568,0.001866772,0.0001928459,0.004884963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001971092,"threshold_uncertainty_score":0.01042426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03628373509060345,"score_gpt":0.2673835425491721,"score_spread":0.2310998074585686,"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."}}