{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002398895,0.0001467421,0.000341423,0.0001140104,0.0001187071,0.00003560264,0.0001054379,0.0001499371,0.00003459043],"category_scores_gemma":[0.0009132244,0.0001143849,0.00005627644,0.000458114,0.0002795969,0.00006946261,0.0001306882,0.0004022769,0.000009784302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002913442,"about_ca_system_score_gemma":0.0001421283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005413986,"about_ca_topic_score_gemma":0.005513246,"domain_scores_codex":[0.9986932,0.00006537378,0.00030327,0.0003891941,0.0001693878,0.0003795862],"domain_scores_gemma":[0.998895,0.0006243344,0.00005078195,0.0001805604,0.000144761,0.0001045948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000672124,0.001248818,0.9426005,0.000388058,0.0001474193,0.0005289644,0.0007043233,0.00005017555,0.008872124,0.03351627,0.001986583,0.009284602],"study_design_scores_gemma":[0.002553953,0.0002260011,0.9653518,0.00006691038,0.00003034787,0.00003307721,0.0006212731,0.004642676,0.0004643266,0.003746773,0.02205834,0.0002045384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897938,0.004267856,0.00004870733,0.002889659,0.00002932844,0.001647759,0.0001515441,0.00006052898,0.001110811],"genre_scores_gemma":[0.9941543,0.0003512639,0.002019022,0.001178957,0.00006533151,0.001881581,0.0001294374,0.000009423857,0.0002107259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0297695,"threshold_uncertainty_score":0.4664481,"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."}}