{"id":"W4313545378","doi":"10.1128/jvi.01536-22","title":"Utility of Human<i>In Vitro</i>Data in Risk Assessments of Influenza A Virus Using the Ferret Model","year":2023,"lang":"en","type":"article","venue":"Journal of Virology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Agency for Toxic Substances and Disease Registry; RIKEN; Natural Sciences and Engineering Research Council of Canada; Centers for Disease Control and Prevention; Ministry of Education, Culture, Sports, Science and Technology; Oak Ridge Institute for Science and Education; Division of Mathematical Sciences; Government of Canada; U.S. Department of Energy","keywords":"Biology; Virology; Titer; Virus; In vivo; In vitro; Influenza A virus; Pandemic; Orthomyxoviridae; Human influenza; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Disease; Pathology; Biotechnology","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":[0.003382661,0.001068776,0.001135559,0.001249721,0.0003907299,0.001942646,0.0005300645,0.001135647,0.00129724],"category_scores_gemma":[0.004398386,0.0002737532,0.0008093012,0.0006738141,0.0005559148,0.0007315075,0.0004916012,0.0006771697,0.0004767185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009391373,"about_ca_system_score_gemma":0.0005675683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004971318,"about_ca_topic_score_gemma":0.003389173,"domain_scores_codex":[0.9983377,0.0009815423,0.0001094009,0.0002744605,0.0002141447,0.00008277914],"domain_scores_gemma":[0.9957481,0.002339182,0.0008545527,0.0005403226,0.0003910359,0.0001268937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003769928,0.001002194,0.1512094,0.0007070928,0.0005679098,0.0009402067,0.0004527912,0.09005371,0.718529,0.002031829,0.001090634,0.02964523],"study_design_scores_gemma":[0.00007758122,0.01083019,0.1205264,0.0001562491,0.0007025164,0.00223028,0.001098615,0.2398888,0.6137924,0.003317163,0.007117935,0.0002619882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091856,0.004957758,0.07617266,0.0005128292,0.0001160967,0.0002828974,0.003707446,0.0003382395,0.00472657],"genre_scores_gemma":[0.9873986,0.00145718,0.008987725,0.00009763733,0.00002711348,0.000106987,0.001359416,0.00002099492,0.0005443032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004971318,"threshold_uncertainty_score":0.0178895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3765265478472793,"score_gpt":0.5312337460540564,"score_spread":0.154707198206777,"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."}}