{"id":"W2771310989","doi":"10.1111/tbed.12749","title":"A multiplex reverse transcription PCR and automated electronic microarray assay for detection and differentiation of seven viruses affecting swine","year":2017,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Biotechnology and Biological Sciences Research Council; Defence Research and Development Canada; Canadian Food Inspection Agency","keywords":"Porcine reproductive and respiratory syndrome virus; Virology; Multiplex; Biology; Virus; African swine fever virus; Microarray; Porcine circovirus; Classical swine fever; Multiplex polymerase chain reaction; Foot-and-mouth disease virus; Reverse transcription polymerase chain reaction; Polymerase chain reaction; Gene; Gene expression; Bioinformatics; Genetics","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":[0.00111258,0.0009799448,0.0005181704,0.0009452052,0.00030104,0.0006646161,0.0007131124,0.001059658,0.001757737],"category_scores_gemma":[0.0009695104,0.0005268119,0.0005493014,0.0005910044,0.0003934874,0.0005821477,0.0005566348,0.000701837,0.0009326258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276696,"about_ca_system_score_gemma":0.0003596372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002355947,"about_ca_topic_score_gemma":0.0005107533,"domain_scores_codex":[0.9974304,0.0004975541,0.0001668461,0.0008427343,0.0008861604,0.0001762979],"domain_scores_gemma":[0.9993243,0.0002360957,0.0001232885,0.00009918329,0.000174016,0.00004307851],"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":[0.0000942183,0.00006839216,0.000635178,0.00005272442,0.000009511255,0.00002887038,0.00002629347,0.0002841795,0.9872113,0.0001711715,0.0001290893,0.01128888],"study_design_scores_gemma":[0.00003038193,0.0008915848,0.004761288,0.00001713609,0.0000409228,0.0004573048,0.00003155801,0.01238753,0.9756327,0.0001639332,0.005546281,0.00003939559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3722081,0.001659965,0.6152604,0.000302391,0.0004617208,0.001083831,0.001610083,0.00204118,0.005372336],"genre_scores_gemma":[0.3219685,0.000836565,0.6628605,0.000311099,0.0001433282,0.002167225,0.002507156,0.00006983276,0.009135925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001757737,"threshold_uncertainty_score":0.005883932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254563529669715,"score_gpt":0.263927006966876,"score_spread":0.2384706539999045,"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."}}