{"id":"W2886489997","doi":"10.1111/tbed.12994","title":"Fully automated and integrated multiplex detection of high consequence livestock viral genomes on a microfluidic platform","year":2018,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Canadian Food Inspection Agency","funders":"Safety, Security, and Quality Assurance; Canadian Food Inspection Agency; National Pork Board","keywords":"Multiplex; Vesicular Stomatitis; Virology; Biology; Virus; Vesicular stomatitis virus; Serotype; Multiplex polymerase chain reaction; Computational biology; Polymerase chain reaction; Bioinformatics","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":[0.001139576,0.0007488835,0.0005533277,0.0007897835,0.0002751133,0.0008118122,0.001027159,0.0007369758,0.0008370876],"category_scores_gemma":[0.001190012,0.0005229281,0.0004698723,0.0002975414,0.0003625471,0.0005651911,0.0008633289,0.0005687036,0.0005375343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000620729,"about_ca_system_score_gemma":0.0006882607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009499929,"about_ca_topic_score_gemma":0.001308823,"domain_scores_codex":[0.998589,0.0001942698,0.0001068473,0.0003819833,0.0005902475,0.000137648],"domain_scores_gemma":[0.999268,0.0002360333,0.0001399416,0.00008725649,0.000207025,0.00006170229],"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":[0.0001336032,0.00009723204,0.001024303,0.000116984,0.00002894949,0.00006329255,0.00006792242,0.00118639,0.9777827,0.0003596672,0.0005280504,0.01861089],"study_design_scores_gemma":[0.00003835891,0.0006153869,0.003426343,0.00001958793,0.00004063837,0.0002713811,0.0000258298,0.03576213,0.9532718,0.0001989758,0.006232278,0.00009724581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5358579,0.001980718,0.4484662,0.0004293245,0.0004781982,0.0009650404,0.002251317,0.006253172,0.003318208],"genre_scores_gemma":[0.5847354,0.0008955272,0.4077698,0.0003339931,0.0001344887,0.0009928311,0.001313865,0.0001012278,0.003722867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001139576,"threshold_uncertainty_score":0.006026745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895087705791549,"score_gpt":0.237253984429891,"score_spread":0.2183031073719756,"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."}}