{"id":"W3163966470","doi":"10.1099/jgv.0.001610","title":"Development and evaluation of a new non-competitive Luminex immunoassay detecting antibodies against human papillomavirus types 6, 11, 16 and 18","year":2021,"lang":"en","type":"article","venue":"Journal of General Virology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Centre Hospitalier de l’Université de Montréal; McGill University; Université de Montréal; Institut National de Santé Publique du Québec; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Multiplex; Immunoassay; Antibody; Polyclonal antibodies; Human papillomavirus; Immunology; Receiver operating characteristic; Virology; Biology; Medicine; Molecular biology; Internal medicine; Bioinformatics","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":[0.009965912,0.001741918,0.001507787,0.00163012,0.0005819701,0.001660721,0.003018394,0.001647443,0.000850306],"category_scores_gemma":[0.005571721,0.0007843385,0.001041001,0.0008333384,0.0008240211,0.000933469,0.00103034,0.001716482,0.0007774645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579076,"about_ca_system_score_gemma":0.00145369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220256,"about_ca_topic_score_gemma":0.002113075,"domain_scores_codex":[0.9880443,0.00239171,0.0007103955,0.002169483,0.006275254,0.0004088827],"domain_scores_gemma":[0.9967908,0.0009439994,0.0003351807,0.0003585769,0.001293343,0.000278071],"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":[0.001056809,0.001702872,0.01406993,0.0007554059,0.0002893114,0.0002227285,0.0002928147,0.002751,0.8749737,0.00113304,0.001515019,0.1012374],"study_design_scores_gemma":[0.0003858323,0.005703135,0.0262704,0.0001289515,0.0003664881,0.001939736,0.0001032962,0.06011236,0.8767514,0.0003923008,0.02761228,0.0002338766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.397395,0.007982897,0.5795769,0.0008032714,0.001109416,0.003792677,0.001627294,0.002737192,0.004975367],"genre_scores_gemma":[0.4079858,0.002647955,0.5694291,0.000811651,0.0002720973,0.003695408,0.004990445,0.0001911682,0.009976355],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009965912,"threshold_uncertainty_score":0.05270541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06673530298311255,"score_gpt":0.379683627651797,"score_spread":0.3129483246686844,"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."}}