{"id":"W2888103133","doi":"10.3390/vetsci5030076","title":"Analysis of the Variability in the Non-Coding Regions of Influenza A Viruses","year":2018,"lang":"en","type":"article","venue":"Veterinary Sciences","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Memorial University of Newfoundland","funders":"Environment and Climate Change Canada; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Biology; Host (biology); Phylogenetic tree; Gene; Coding region; Genome; Virus; Coevolution; Influenza A virus; Genetics; Evolutionary biology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003053519,0.0000722347,0.0002543251,0.0002998154,0.0002296828,0.00001146841,0.0005055069,0.00002608141,0.00003773683],"category_scores_gemma":[0.001483811,0.00003384437,0.0001241747,0.003612934,0.002797218,0.0001079125,0.0002191519,0.00009837374,0.000002196952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002380102,"about_ca_system_score_gemma":0.0001306361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005531157,"about_ca_topic_score_gemma":0.00008313368,"domain_scores_codex":[0.9985059,0.0002828421,0.000288158,0.0001915556,0.000532939,0.000198571],"domain_scores_gemma":[0.9986352,0.0006264022,0.0001157475,0.0004578277,0.0001427854,0.00002204581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001802403,0.0001745895,0.9347621,0.00007558492,0.0002178217,0.000005487906,0.009466433,0.00005799078,0.05351977,0.0008034207,0.0001022312,0.0006343825],"study_design_scores_gemma":[0.0001854179,0.0009543479,0.9912373,0.00007854943,0.0001352087,0.000005960138,0.001555088,0.001618269,0.002790121,0.0002000114,0.001192482,0.00004722712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942248,0.00005618127,0.00004750324,0.0003533449,0.00004582826,0.0002259789,0.000008348108,0.000004598885,0.005033365],"genre_scores_gemma":[0.9991147,0.0000144941,0.0002311875,0.0005902867,0.00002416171,0.00001297665,1.072314e-7,0.000001695651,0.00001038315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05647527,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2699961664209728,"score_gpt":0.4617603578956082,"score_spread":0.1917641914746354,"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."}}