{"id":"W2550366296","doi":"10.1128/cvi.00269-16","title":"Calibration and Evaluation of Quantitative Antibody Titers for Measles Virus by Using the BioPlex 2200","year":2016,"lang":"en","type":"article","venue":"Clinical and Vaccine Immunology","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Dalhousie University; University of Toronto; Public Health Agency of Canada; Nova Scotia Health Authority; University of Manitoba; Izaak Walton Killam Health Centre","funders":"Public Health Ontario; Canadian Institutes of Health Research; Health Canada; Government of Canada; Public Health Agency of Canada","keywords":"Measles; Titer; Rubella; Medicine; Confidence interval; Receiver operating characteristic; Measles vaccine; Immunology; Virology; Antibody; Vaccination; Internal medicine","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":[0.01544326,0.002188327,0.001172305,0.002746607,0.0007575062,0.001661075,0.001639484,0.002118158,0.002393816],"category_scores_gemma":[0.02362645,0.001213568,0.0009279386,0.00164992,0.002065532,0.0009844126,0.001136234,0.002179244,0.001461142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007502,"about_ca_system_score_gemma":0.001156178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047571,"about_ca_topic_score_gemma":0.001004155,"domain_scores_codex":[0.9724203,0.01224116,0.001776762,0.004200494,0.008690952,0.0006703479],"domain_scores_gemma":[0.9865762,0.007219666,0.001325291,0.001746243,0.002902471,0.000230106],"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":[0.002097261,0.00151263,0.01932138,0.001057841,0.000301229,0.000156683,0.001507711,0.005956244,0.9092224,0.002154647,0.001822896,0.05488908],"study_design_scores_gemma":[0.0001194816,0.002904973,0.01554772,0.0001175315,0.0001812382,0.001039398,0.0002004012,0.05284413,0.9190707,0.001093168,0.006725449,0.0001558506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3398417,0.003488153,0.6399204,0.0003074008,0.0005474982,0.00284374,0.001423271,0.003280966,0.008346973],"genre_scores_gemma":[0.4642129,0.001582543,0.5218197,0.0006573613,0.0001077699,0.004715376,0.001998906,0.00046028,0.004445247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01544326,"threshold_uncertainty_score":0.08167267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1480185604559148,"score_gpt":0.4730489700682449,"score_spread":0.3250304096123302,"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."}}