{"id":"W2928316320","doi":"10.1021/acs.analchem.9b00648","title":"Peptide-Mediated Electrochemical Steric Hindrance Assay for One-Step Detection of HIV Antibodies","year":2019,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Ontario Genomics Institute; Genome Canada","keywords":"Chemistry; Antibody; Steric effects; Peptide; DNA; Conjugated system; Human immunodeficiency virus (HIV); Virus; Gp41; Hybridization probe; Macromolecule; Molecular biology; Virology; Combinatorial chemistry; Biochemistry; Epitope; Stereochemistry; Immunology; Biology; Organic chemistry","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":[0.0007118701,0.000593962,0.0004297204,0.0003474737,0.0002459435,0.0002505656,0.0006810974,0.0008689493,0.001004734],"category_scores_gemma":[0.0008972676,0.0003575396,0.0002448904,0.000229421,0.0003400194,0.0003603682,0.000428217,0.0008201595,0.0004608138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301666,"about_ca_system_score_gemma":0.0003760696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002503507,"about_ca_topic_score_gemma":0.0007624665,"domain_scores_codex":[0.999006,0.0003409718,0.00004195281,0.0001993095,0.0003395073,0.00007238034],"domain_scores_gemma":[0.9994499,0.0002801567,0.0001058325,0.00003174526,0.00008649912,0.0000459424],"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":[0.00004274383,0.00002688508,0.0001430061,0.00007357928,0.00001057719,0.00003002134,0.00002179732,0.0001151276,0.9967057,0.0001609024,0.00006418971,0.002605504],"study_design_scores_gemma":[0.00001386977,0.0003848542,0.0009313399,0.000005639557,0.00001338393,0.0003334819,0.00001607202,0.003767648,0.9930944,0.0000692521,0.001353253,0.00001677466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7034231,0.007580381,0.2800406,0.0005495125,0.0002712774,0.0004474278,0.0004303787,0.00102041,0.006236958],"genre_scores_gemma":[0.8451307,0.002707263,0.1455447,0.0004029924,0.0000869694,0.0003332965,0.0003433242,0.00002654988,0.005424182],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001004734,"threshold_uncertainty_score":0.003764808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00705523269900517,"score_gpt":0.255058847464411,"score_spread":0.2480036147654058,"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."}}