{"id":"W2076416681","doi":"10.1373/clinchem.2014.232181","title":"Digital Microfluidic Platform for the Detection of Rubella Infection and Immunity: A Proof of Concept","year":2014,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Occupational Cancer Research Centre","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Rubella; Rubella virus; Immunoassay; Medicine; Immunology; Titer; Virology; Antibody; Measles; Vaccination","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644538,0.00006215329,0.0001453473,0.000006786001,0.00002871073,0.000009931568,0.00003840899,0.0001313405,0.000003702822],"category_scores_gemma":[0.0003016658,0.00004661488,0.00009289584,0.0000520064,0.0001466063,0.00003564882,0.00001577816,0.0001428355,2.633958e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007232884,"about_ca_system_score_gemma":0.000003808406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000261566,"about_ca_topic_score_gemma":5.09653e-7,"domain_scores_codex":[0.9995163,0.000004345736,0.000290348,0.00007477894,0.00004407814,0.00007012726],"domain_scores_gemma":[0.9993652,0.000392098,0.00005391281,0.0001164241,0.00004225898,0.00003017808],"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":[0.00007410341,0.0000889432,0.001517703,0.0006628784,0.0001153026,6.961611e-8,0.00002538577,0.00009747678,0.3621845,0.00002126147,0.0001372647,0.6350752],"study_design_scores_gemma":[0.0003539681,0.000115474,0.000695677,0.00002626971,0.00003702062,0.000002463177,0.00001405489,0.02436817,0.9684753,0.0002713965,0.005577243,0.00006298545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746755,0.0004062606,0.02401717,0.00002054391,0.0001008737,0.00009229568,0.00001043298,0.00003071261,0.0006462397],"genre_scores_gemma":[0.9996888,0.0001003161,0.00001130746,0.000004777741,0.0001104084,0.000004373844,0.000003164325,0.000008304099,0.00006856909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6350121,"threshold_uncertainty_score":0.19009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962657189014123,"score_gpt":0.2589892798885086,"score_spread":0.2393627079983674,"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."}}