{"id":"W4308119840","doi":"10.3390/pathogens11111284","title":"Phylogenetic Inference of the 2022 Highly Pathogenic H7N3 Avian Influenza Outbreak in Northern Mexico","year":2022,"lang":"en","type":"article","venue":"Pathogens","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Canadian Science Centre for Human and Animal Health","funders":"Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación; Canadian Food Inspection Agency","keywords":"Outbreak; Transmission (telecommunications); Influenza A virus subtype H5N1; Geography; Biosecurity; Phylogenetic tree; Biology; Virology; Virus; Ecology; Genetics","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":[0.000734546,0.0002536649,0.0004874428,0.0002739587,0.0003141131,0.00001000095,0.0005201045,0.00006881924,0.0002719363],"category_scores_gemma":[0.0007485308,0.0001947453,0.0002419013,0.001127222,0.000243007,0.00003739222,0.001090465,0.000690571,0.00004429888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003346947,"about_ca_system_score_gemma":0.000458974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002507446,"about_ca_topic_score_gemma":0.001255666,"domain_scores_codex":[0.9968662,0.0004144099,0.0005954808,0.0004339695,0.00107902,0.0006109183],"domain_scores_gemma":[0.9983554,0.0001827618,0.0001967114,0.0009269566,0.0002118425,0.0001263407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001608064,0.000244867,0.8384836,0.00006775471,0.00007511614,0.00007982514,0.001731038,0.0007129289,0.1545223,0.0001355584,0.0000505935,0.003735613],"study_design_scores_gemma":[0.001730052,0.0003871474,0.9800808,0.00005515768,0.00008021913,0.0000356458,0.0009015303,0.0001892621,0.00576908,0.0002787905,0.01025161,0.0002407427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930543,0.002753493,0.000007031168,0.000368559,0.000177514,0.00089272,0.0003597781,0.00003527207,0.002351376],"genre_scores_gemma":[0.997734,0.00009713435,0.00009718948,0.001349849,0.00005529861,0.0003375505,0.00001216485,0.00004319228,0.0002736731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487532,"threshold_uncertainty_score":0.7941483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04814074366002526,"score_gpt":0.3289920277941509,"score_spread":0.2808512841341256,"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."}}