{"id":"W4412816695","doi":"10.1101/2025.07.29.667219","title":"A Genome Sequence Variant Monitoring Program for Seasonal Influenza A H3N2 and Respiratory Syncytial Virus A using Wastewater-Based Surveillance in Ontario, Canada","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Respiratory viral infections research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ministère de l’Environnement, de la Protection de la nature et des Parcs; Canadian Bee Research Fund","keywords":"Virology; Virus; Sequence (biology); Wastewater; Whole genome sequencing; Respiratory system; Influenza A virus; Biology; Genome; Genetics; Environmental science; Gene; Environmental engineering","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":[0.0006656148,0.0003884877,0.0002753027,0.0007377632,0.00170517,0.0006864629,0.0006138445,0.0002849254,0.000954047],"category_scores_gemma":[0.000840585,0.0002367862,0.0002721281,0.001292127,0.0004426659,0.0002206791,0.0004621489,0.0002611383,0.0002037655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01917818,"about_ca_system_score_gemma":0.0321214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928973,"about_ca_topic_score_gemma":0.9939218,"domain_scores_codex":[0.9994317,0.0000331216,0.00001759904,0.0001197795,0.0002718774,0.0001259496],"domain_scores_gemma":[0.9989759,0.00004299201,0.00008197961,0.00003017619,0.0006714885,0.0001974625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005663824,0.0003030989,0.8483189,0.0002192617,0.000122895,0.0005048935,0.002517818,0.007501513,0.05612999,0.0005589111,0.009374669,0.07388175],"study_design_scores_gemma":[0.00006955176,0.0002681545,0.9556778,0.00002958482,0.00004174377,0.00009285475,0.001863135,0.02419817,0.006836111,0.0001121944,0.01076715,0.00004360656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809504,0.0003398831,0.004032019,0.0004702969,0.00002749861,0.0005157753,0.007549664,0.000321988,0.005792554],"genre_scores_gemma":[0.9821223,0.000208192,0.009231139,0.0001690713,0.000007948125,0.00009480586,0.00349752,0.00003072626,0.00463831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917818,"threshold_uncertainty_score":0.1391481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06367185700489159,"score_gpt":0.3258746333138931,"score_spread":0.2622027763090015,"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."}}