{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003595673,0.0001734689,0.0002823944,0.001050484,0.0002830229,0.0003704535,0.0002019457,0.0002490712,0.0005428616],"category_scores_gemma":[0.001024257,0.0001022435,0.0003579787,0.0008460775,0.0002146838,0.0001693043,0.0002130762,0.0002782476,0.0001851463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030704,"about_ca_system_score_gemma":0.0001382838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752077,"about_ca_topic_score_gemma":0.002254709,"domain_scores_codex":[0.999508,0.0001099375,0.00005656166,0.0001756201,0.00009512136,0.00005479024],"domain_scores_gemma":[0.9990349,0.0003667971,0.0002590745,0.00007939449,0.0001535664,0.0001063805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006277908,0.00008827668,0.307785,0.0001174898,0.0002593713,0.00031286,0.0006865308,0.0005304805,0.6810522,0.0001698772,0.0001093877,0.008260681],"study_design_scores_gemma":[0.000004242338,0.0002312237,0.9785448,0.00001065322,0.00006425609,0.0007330209,0.0002209331,0.001866656,0.01728168,0.00008178721,0.0009488655,0.00001189081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983174,0.0002330819,0.0006597819,0.000006522703,0.000003530701,0.000007079516,0.0004457084,0.000003807069,0.000323099],"genre_scores_gemma":[0.9973003,0.00008223674,0.0009031164,0.00001800775,0.000005494092,0.00001062248,0.00154399,0.000006789082,0.0001294477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001752077,"threshold_uncertainty_score":0.003483772,"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."}}