{"id":"W3192279718","doi":"10.3389/fvets.2021.728660","title":"Rapid Detection and Typing of Actinobacillus pleuropneumoniae Serovars Directly From Clinical Samples: Combining FTA® Card Technology With Multiplex PCR","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Hungarian Scientific Research Fund; National Natural Science Foundation of China","keywords":"Actinobacillus pleuropneumoniae; Serotype; Pleuropneumonia; Multiplex polymerase chain reaction; Microbiology; Typing; Multiplex; Biology; Polymerase chain reaction; Virology; Gene; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001673333,0.0009803285,0.0006202828,0.0007492437,0.0001441022,0.00106384,0.0005948325,0.0006441075,0.0003725652],"category_scores_gemma":[0.002027166,0.0004184525,0.0003173992,0.0004738071,0.0004176753,0.0006753983,0.0006196904,0.0004625368,0.0005167791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162641,"about_ca_system_score_gemma":0.000207119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003513885,"about_ca_topic_score_gemma":0.0004600236,"domain_scores_codex":[0.9968141,0.0009649633,0.0003323829,0.0008631655,0.0007965796,0.0002287881],"domain_scores_gemma":[0.9990289,0.0004444877,0.0002259265,0.00009571807,0.0001487474,0.00005618674],"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":[0.0002444033,0.0001297006,0.008740566,0.0001472158,0.0000250649,0.00009388394,0.0000754275,0.0003794394,0.9657674,0.00005308649,0.00007346356,0.02427042],"study_design_scores_gemma":[0.00001648013,0.0008915248,0.03135343,0.00004510035,0.0001121647,0.001600901,0.0001185588,0.01073052,0.9527173,0.0001169575,0.002256534,0.00004052977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8467253,0.002655139,0.1474688,0.00012698,0.0001036994,0.0003696069,0.0008195076,0.0003959333,0.001335118],"genre_scores_gemma":[0.8032002,0.001201938,0.193244,0.0001109066,0.00004907635,0.000182676,0.0010338,0.00003401281,0.0009433161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673333,"threshold_uncertainty_score":0.008849502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310449108370483,"score_gpt":0.2997885742651762,"score_spread":0.2566840831814713,"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."}}