{"id":"W3211366611","doi":"10.1002/eap.2497","title":"Age and season predict influenza A virus dynamics in urban gulls: consequences for natural hosts in unnatural landscapes","year":2021,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Environment and Climate Change Canada","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Biology; Influenza A virus; Virus; Geography; Natural (archaeology); Virology","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":[0.0004446908,0.0002443064,0.0002087292,0.0002448362,0.0002277836,0.0004668585,0.000201278,0.000287752,0.001317691],"category_scores_gemma":[0.0009600378,0.0001378222,0.0003288923,0.0001804761,0.0002310918,0.0002915118,0.0003420313,0.0002012949,0.0002326462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521416,"about_ca_system_score_gemma":0.0001997731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463527,"about_ca_topic_score_gemma":0.03302217,"domain_scores_codex":[0.999874,0.00003538157,0.000006461512,0.0000427771,0.0000056391,0.0000357548],"domain_scores_gemma":[0.999249,0.0001785401,0.0002768316,0.00005452098,0.00005211402,0.0001890382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004024791,0.00001212792,0.9984348,0.000003564402,0.00002130192,0.00001192587,0.00003353903,0.0003470151,0.0006022799,0.00001401568,0.00004515611,0.0004340308],"study_design_scores_gemma":[0.000001263389,0.00002978909,0.9970673,0.000001768997,0.00001265424,0.00001833103,0.0001050809,0.00262398,0.00004807942,0.000026317,0.0000637077,0.000001728826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999676,0.0000370735,0.00009430583,0.00001864431,0.000001688644,0.000001227869,0.00008977408,0.00000358168,0.000077729],"genre_scores_gemma":[0.9996471,0.00001957747,0.00008852142,0.00001035639,0.00000191507,0.00000240419,0.0001559289,0.000001906033,0.00007231346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01463527,"threshold_uncertainty_score":0.02910018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194803678657992,"score_gpt":0.3598776006448997,"score_spread":0.3179295638583198,"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."}}