{"id":"W2993893494","doi":"10.7589/2019-05-135","title":"TARGETED RESEQUENCING OF WETLAND SEDIMENT AS A TOOL FOR AVIAN INFLUENZA VIRUS SURVEILLANCE","year":2019,"lang":"en","type":"article","venue":"Journal of Wildlife Diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Government of British Columbia; University of British Columbia","funders":"Simon Fraser University; Genome British Columbia; Canadian Food Inspection Agency; Compute Canada; Genome Canada","keywords":"Waterfowl; Biology; Outbreak; Virus; Hemagglutinin (influenza); Neuraminidase; Feces; Virology; Influenza A virus subtype H5N1; Influenza A virus; Wetland; Veterinary medicine; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000273465,0.0003728528,0.0002443577,0.000966159,0.0003834023,0.0004820895,0.0001814934,0.0002378091,0.0003151589],"category_scores_gemma":[0.0004368594,0.0001584784,0.000235949,0.0008046953,0.0001798523,0.0001214698,0.000228199,0.0001942643,0.0001610716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000485828,"about_ca_system_score_gemma":0.0005371517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136677,"about_ca_topic_score_gemma":0.05441758,"domain_scores_codex":[0.9997918,0.00002892197,0.00001251321,0.0000616033,0.00007318685,0.00003198999],"domain_scores_gemma":[0.9997179,0.00004103443,0.00008969679,0.000019579,0.0001073013,0.00002447574],"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":[0.000148685,0.00006429614,0.05855609,0.0001007127,0.00004581451,0.0002182212,0.0002637298,0.0006494026,0.9254673,0.0001028334,0.0003017038,0.01408131],"study_design_scores_gemma":[0.00002045192,0.0005055151,0.7445087,0.00004329873,0.0001743533,0.000618549,0.0009438958,0.009080176,0.2369232,0.000180276,0.006963579,0.00003788331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857988,0.0005292084,0.009154646,0.00005881517,0.00001562097,0.00009629957,0.003217521,0.0001208152,0.001008304],"genre_scores_gemma":[0.9724388,0.0004857977,0.02130252,0.0001406708,0.00001028732,0.00006206655,0.004550399,0.00003347051,0.0009759869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02136677,"threshold_uncertainty_score":0.04248482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912719469566853,"score_gpt":0.3596991519806697,"score_spread":0.3205719572850012,"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."}}