{"id":"W2060763480","doi":"10.1016/j.jviromet.2006.03.025","title":"A multiplex DNA suspension microarray for simultaneous detection and differentiation of classical swine fever virus and other pestiviruses","year":2006,"lang":"en","type":"article","venue":"Journal of Virological Methods","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Science Centre for Human and Animal Health; Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Pestivirus; Biology; Virology; Multiplex; Biotinylation; Virus; Molecular biology; Oligonucleotide; Primer (cosmetics); Multiplex polymerase chain reaction; Classical swine fever; Streptavidin; Polymerase chain reaction; DNA; Biotin; Flaviviridae; Gene; Hepatitis C virus; Genetics; Chemistry","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":[0.0006446584,0.0006435283,0.0008169938,0.0008780006,0.0004804586,0.0006617855,0.0007742296,0.0009974336,0.002414741],"category_scores_gemma":[0.0005764112,0.0006202698,0.0004539938,0.0005537706,0.0002473925,0.0006310032,0.0004124164,0.0008753539,0.001182975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000600642,"about_ca_system_score_gemma":0.000405584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005221131,"about_ca_topic_score_gemma":0.001511981,"domain_scores_codex":[0.9991105,0.0001172751,0.00004885359,0.000334287,0.0003023011,0.00008678169],"domain_scores_gemma":[0.9995994,0.0001441486,0.00004623905,0.00003700207,0.00009994237,0.00007331128],"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":[0.00007425914,0.00003533148,0.0001584137,0.00002404389,0.000007804614,0.00001149665,0.0000108926,0.00009288335,0.9953932,0.0000814962,0.0002035033,0.003906653],"study_design_scores_gemma":[0.00003744134,0.0005132747,0.00342371,0.000008527145,0.00005223126,0.0002431047,0.00003049995,0.01460556,0.9752746,0.0002722681,0.005507585,0.00003119144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5891948,0.001861695,0.3923621,0.00088357,0.0006757338,0.0006269398,0.00493314,0.003035354,0.00642658],"genre_scores_gemma":[0.4115071,0.001183548,0.5558012,0.0011129,0.0002610488,0.001854516,0.007294798,0.0001692814,0.02081557],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002414741,"threshold_uncertainty_score":0.008078098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984528081593104,"score_gpt":0.3203764704560325,"score_spread":0.2705311896401014,"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."}}