{"id":"W2169343004","doi":"10.3109/08916934.2011.523267","title":"Design considerations in building<i>in silico</i>equivalents of common experimental influenza virus assays","year":2011,"lang":"en","type":"article","venue":"Autoimmunity","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Compute Canada","keywords":"In silico; Ordinary differential equation; Virus; Oseltamivir; Computer science; Influenza A virus; Process (computing); Strain (injury); Computational biology; Infectious disease (medical specialty); Virology; Applied mathematics; Biological system; Biology; Mathematics; Differential equation; Disease; Medicine; Coronavirus disease 2019 (COVID-19)","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":[0.001030335,0.0001907847,0.0005169489,0.0003717561,0.0001246844,0.00000991363,0.0001645757,0.0001128598,0.0003519937],"category_scores_gemma":[0.0006658315,0.000185873,0.00007055866,0.0003361697,0.0003521682,0.000188814,0.0002538569,0.0005387113,0.0000333596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393219,"about_ca_system_score_gemma":0.0001930347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007408802,"about_ca_topic_score_gemma":0.0001806171,"domain_scores_codex":[0.997929,0.0004908945,0.0006328807,0.0002002345,0.0003440362,0.0004029765],"domain_scores_gemma":[0.9987504,0.0004009529,0.0001184982,0.0005370052,0.0001180285,0.00007509279],"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":[0.0008448059,0.003720725,0.2489505,0.0001148336,0.0001433035,0.0001811797,0.01899902,0.00008667952,0.7241223,0.002108093,0.0002463645,0.0004820938],"study_design_scores_gemma":[0.003008717,0.0005895896,0.5876977,0.0001912194,0.00001818029,0.00001434391,0.0007291778,0.0002199523,0.4060645,0.001183267,0.0001144496,0.0001689428],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926164,0.001601579,0.00004935906,0.00003104308,0.00005217324,0.0007366495,0.00001110354,0.00004606768,0.004855632],"genre_scores_gemma":[0.9955378,0.00004363111,0.00383318,0.0004317402,0.000007967523,0.00009422117,0.000002989699,0.00002102591,0.00002744873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3387472,"threshold_uncertainty_score":0.9992009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2956397761366386,"score_gpt":0.4204592782466401,"score_spread":0.1248195021100016,"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."}}