{"id":"W4399491328","doi":"10.3390/v16060935","title":"Applying Flow Virometry to Study the HIV Envelope Glycoprotein and Differences Across HIV Model Systems","year":2024,"lang":"en","type":"article","venue":"Viruses","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Ottawa; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto Scarborough; National Institutes of Health; Canadian Institutes of Health Research; Mitacs; University of Toronto; University of Ottawa","keywords":"Glycoprotein; Monoclonal antibody; Virology; Antibody; Biology; Viral envelope; HEK 293 cells; Flow cytometry; Epitope; Virus; Viral entry; Glycosylation; Cell fusion; Cell culture; Viral replication; Molecular biology; Immunology; 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":[0.0009669053,0.0006268803,0.0005038076,0.0008014468,0.000664758,0.0009820402,0.0005855,0.0009881811,0.001024733],"category_scores_gemma":[0.0006785932,0.0002721686,0.0004275047,0.0005507961,0.0005217307,0.0009120713,0.0005524336,0.001534652,0.0003015231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133961,"about_ca_system_score_gemma":0.0004715837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002740833,"about_ca_topic_score_gemma":0.001876845,"domain_scores_codex":[0.9995265,0.0001028794,0.0000230079,0.0001201644,0.0001292187,0.00009826571],"domain_scores_gemma":[0.999772,0.00008913805,0.00004046785,0.00002621791,0.00005280036,0.00001937351],"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":[0.00006367566,0.00009874618,0.0008816768,0.00009671867,0.00001712588,0.00005456606,0.00009557172,0.00128592,0.9898323,0.001864001,0.0003328011,0.005376915],"study_design_scores_gemma":[0.00003100506,0.0005130896,0.005803103,0.00003467488,0.00003941361,0.0002499927,0.0001760788,0.05396703,0.9276154,0.002667151,0.008852556,0.00005061295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7121641,0.004637274,0.269873,0.0009561228,0.0003069469,0.0005958462,0.002126826,0.001587942,0.007751969],"genre_scores_gemma":[0.82647,0.004012778,0.16038,0.0007452622,0.00008656994,0.001208289,0.002224924,0.0002665853,0.004605483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002740833,"threshold_uncertainty_score":0.008227527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05491468863837076,"score_gpt":0.3228574653759708,"score_spread":0.2679427767376,"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."}}