{"id":"W4415828371","doi":"10.1101/2025.10.31.685885","title":"IRIS PIGMENTATION IRREGULARITIES FOLLOWING AN AVIAN INFLUENZA OUTBREAK: IMPLICATIONS FOR DISEASE SURVEILLANCE AND POPULATION MONITORING IN A COLONIAL SEABIRD","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Seabird; Wildlife disease; Population; IRIS (biosensor); Serology; Influenza A virus subtype H5N1; Pandemic; Disease; Disease surveillance","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":[0.0008767617,0.0002911226,0.0001926214,0.001034757,0.0005585489,0.0006949314,0.0004119455,0.0003866245,0.0007855532],"category_scores_gemma":[0.001535994,0.0001372498,0.0002065717,0.0004212556,0.0004130717,0.0003800963,0.0004563414,0.0005246794,0.0001990603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405761,"about_ca_system_score_gemma":0.0002253351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846863,"about_ca_topic_score_gemma":0.03825445,"domain_scores_codex":[0.999714,0.000093501,0.000027347,0.00006944456,0.00004236216,0.00005347419],"domain_scores_gemma":[0.9988845,0.0001310631,0.0004765851,0.00004303845,0.00023494,0.0002299761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002133628,0.00003286192,0.9965048,0.000009027924,0.000009620757,0.0001033101,0.0001599722,0.00007181155,0.0003898416,0.000006893819,0.0001595681,0.002531051],"study_design_scores_gemma":[8.173673e-7,0.00006364759,0.9982681,0.00001185777,0.000006786732,0.0002411862,0.000742673,0.0004101252,0.00009001157,0.00001802597,0.0001439256,0.000002901962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983696,0.0001900167,0.0001998809,0.0001766741,0.00001302171,0.00001800942,0.0001972117,0.00001382763,0.0008217929],"genre_scores_gemma":[0.9988999,0.0001326763,0.0006114686,0.00005399159,0.00001778947,0.00001035386,0.0001282048,0.000001946538,0.0001436346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01846863,"threshold_uncertainty_score":0.03672224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04997872311290946,"score_gpt":0.352527858464575,"score_spread":0.3025491353516655,"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."}}