{"id":"W2910160230","doi":"10.1016/j.diagmicrobio.2019.01.004","title":"Establishment of a comprehensive and high throughput serological algorithm for Zika virus diagnostic testing","year":2019,"lang":"en","type":"article","venue":"Diagnostic Microbiology and Infectious Disease","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"Centers for Disease Control and Prevention; Public Health Agency of Canada","keywords":"Plaque reduction neutralization test; Serology; Medicine; Virology; Zika virus; Dengue virus; Dengue fever; Outbreak; Algorithm; Antibody; Virus; Immunology; Computer science","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":[0.005285802,0.0009318548,0.001124801,0.003069878,0.0008071513,0.002946954,0.001487179,0.0009688779,0.001591112],"category_scores_gemma":[0.009844504,0.0006057102,0.0007407096,0.001229498,0.0003865987,0.001358444,0.001742958,0.001499201,0.001546414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014225,"about_ca_system_score_gemma":0.003812764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004327983,"about_ca_topic_score_gemma":0.005528853,"domain_scores_codex":[0.9956697,0.001080274,0.0005668366,0.0008555704,0.001534108,0.0002934227],"domain_scores_gemma":[0.9936709,0.001714148,0.0007375167,0.0005410035,0.0030249,0.0003115064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008441181,0.0007902427,0.2223106,0.0005445682,0.0003181134,0.000546401,0.0004688499,0.02602451,0.1444363,0.004679719,0.01792329,0.5811133],"study_design_scores_gemma":[0.0002596815,0.001568103,0.1582808,0.0002850893,0.0003853045,0.003785185,0.0005209104,0.6224659,0.1631178,0.01016838,0.03891357,0.0002494191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08798531,0.0008367882,0.8930893,0.001124672,0.0001538878,0.003093628,0.002135116,0.007497756,0.004083565],"genre_scores_gemma":[0.2252369,0.0003240503,0.7677554,0.0004950332,0.00007987458,0.001194695,0.003479723,0.0001502537,0.001284065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005285802,"threshold_uncertainty_score":0.02795434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009972568580088367,"score_gpt":0.2437896422481762,"score_spread":0.2338170736680878,"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."}}