{"id":"W3034639433","doi":"10.1101/2020.06.10.144782","title":"Assessment of metagenomic sequencing and qPCR for detection of influenza D virus in bovine respiratory tract samples","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Shared Health; University of Saskatchewan","funders":"Beef Cattle Research Council; China Scholarship Council","keywords":"Metagenomics; Nanopore sequencing; Biology; Nanopore; Real-time polymerase chain reaction; DNA sequencing; Computational biology; Gene; Genetics; Nanotechnology; Materials science","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":[0.0020763,0.0007368518,0.0006316298,0.00108695,0.0003722388,0.0009789324,0.000492394,0.0008321302,0.0005905472],"category_scores_gemma":[0.002281288,0.0005325995,0.000674322,0.0005515119,0.0003811022,0.0004739765,0.0006240835,0.0003616797,0.000497933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006392855,"about_ca_system_score_gemma":0.0004243922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003161317,"about_ca_topic_score_gemma":0.006196108,"domain_scores_codex":[0.9976186,0.0005653035,0.0001631397,0.0007234116,0.0007722769,0.0001571523],"domain_scores_gemma":[0.9989522,0.0003585703,0.0001742519,0.00007958948,0.0003743332,0.00006121444],"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":[0.0002355506,0.00006094578,0.1052267,0.0002840167,0.0001265832,0.00004978412,0.0002634537,0.001315451,0.8800022,0.0001158737,0.0001471226,0.01217229],"study_design_scores_gemma":[0.00001622174,0.0008759248,0.2746937,0.0001183407,0.0003093846,0.0004368751,0.0004951326,0.02707533,0.6909087,0.0002535652,0.004742214,0.00007466257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399224,0.001836131,0.05168784,0.0001420499,0.00006278177,0.000167382,0.003990293,0.000438208,0.001752918],"genre_scores_gemma":[0.9175988,0.0005718591,0.07661266,0.0002232519,0.0000195758,0.0002088344,0.003610623,0.00007436243,0.00107997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003161317,"threshold_uncertainty_score":0.01098067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931909141382487,"score_gpt":0.2711044742792171,"score_spread":0.2317853828653923,"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."}}