{"id":"W4205334981","doi":"10.1007/978-1-0716-1871-4_20","title":"Single-Cell Multiparametric Analysis of Rare HIV-Infected Cells Identified by Duplexed RNAflow-FISH","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research","keywords":"Flow cytometry; In situ hybridization; Fish <Actinopterygii>; In situ; Human immunodeficiency virus (HIV); RNA; Cell; Biology; Fluorescence in situ hybridization; Peripheral blood mononuclear cell; Virology; In vivo; Molecular biology; Chemistry; Messenger RNA; In vitro; Gene; Biochemistry; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002278431,0.0002057028,0.0002901996,0.0003768259,0.0002916788,0.0004037505,0.0002939092,0.0003649672,0.00185737],"category_scores_gemma":[0.0001940151,0.0001362069,0.0002022387,0.0001974188,0.0002128029,0.0002759992,0.0003405279,0.000541504,0.0004962535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223631,"about_ca_system_score_gemma":0.0001085064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003892285,"about_ca_topic_score_gemma":0.000745534,"domain_scores_codex":[0.9998705,0.000008570384,0.000006324867,0.00005163198,0.00003138733,0.00003153231],"domain_scores_gemma":[0.999881,0.00003941486,0.0000167104,0.00001843968,0.00002386563,0.00002052956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004584694,0.000006057689,0.0004796716,0.00001536832,0.000003546764,0.00002105036,0.00002908084,0.00006728731,0.9975159,0.0001379506,0.00002599154,0.001652121],"study_design_scores_gemma":[0.00001223213,0.0001092443,0.02210972,0.000008779733,0.00003424144,0.0003637074,0.000124594,0.01221066,0.9622136,0.00044621,0.002349945,0.0000169819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9322256,0.000665664,0.06274355,0.00007294421,0.00004121058,0.00007219602,0.001067914,0.000434312,0.002676594],"genre_scores_gemma":[0.9558589,0.0003496332,0.04024898,0.00008119968,0.00003135747,0.0001574896,0.0006506497,0.0001105643,0.002511331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00185737,"threshold_uncertainty_score":0.006213546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136949123006539,"score_gpt":0.3394402927800635,"score_spread":0.3180708015499982,"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."}}