{"id":"W3178526504","doi":"","title":"Environmental Sampling and Next-generation Sequencing as a Novel Approach for the Detection and Characterization of Influenza A Virus (IAV) in Swine","year":2020,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Influenza A virus; Virology; Sampling (signal processing); Virus; Computational biology; Biology; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001358918,0.0001102533,0.0001553424,0.00001397378,0.0001013802,0.00002847271,0.00004783174,0.0001010548,0.00001191596],"category_scores_gemma":[0.00004964975,0.00004885847,0.00003096564,0.00007368391,0.00002117356,0.00007594142,0.00002155113,0.00007131797,4.528429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002116542,"about_ca_system_score_gemma":0.000003515389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004731873,"about_ca_topic_score_gemma":0.0003568429,"domain_scores_codex":[0.9994248,0.00002564634,0.0001693166,0.0002255114,0.00006015397,0.0000946221],"domain_scores_gemma":[0.9997153,0.00007518019,0.0001544342,0.000020655,0.000007669483,0.00002681999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001256151,0.0000125698,0.0005155309,0.00004389337,0.00001111369,6.75192e-8,0.0007754636,0.0000151856,0.9820238,0.00005153035,6.18131e-7,0.01642456],"study_design_scores_gemma":[0.0004451128,0.0004548696,0.8687868,0.00005028422,0.0001599023,0.000001939236,0.01123402,0.09934288,0.01653703,0.00006937945,0.002564355,0.0003534295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982881,0.0003020065,0.0006689628,0.0001517941,0.00003108252,0.000481416,0.00001859131,0.00000967721,0.00004840363],"genre_scores_gemma":[0.9981297,0.0003037316,0.0001265039,0.000210705,0.0001385531,0.00006782349,0.0009462811,0.000001712881,0.00007495318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9654868,"threshold_uncertainty_score":0.1992391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1384586536369284,"score_gpt":0.3008706715027259,"score_spread":0.1624120178657975,"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."}}