{"id":"W2091148298","doi":"10.1016/j.str.2014.12.019","title":"Nothing to Sneeze At: A Dynamic and Integrative Computational Model of an Influenza A Virion","year":2015,"lang":"en","type":"article","venue":"Structure","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Wellcome Trust","keywords":"Nothing; Virology; Computational biology; Chemistry; Computer science; Biology; Philosophy; Epistemology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002950069,0.0003740983,0.0006410638,0.0003555105,0.0008354604,0.0009934589,0.0009700601,0.001529751,0.00481344],"category_scores_gemma":[0.001441651,0.0003289689,0.0008697859,0.0003690232,0.0006515839,0.0008553251,0.0008746881,0.0008022873,0.0003647936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000739407,"about_ca_system_score_gemma":0.001169592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02498138,"about_ca_topic_score_gemma":0.01769294,"domain_scores_codex":[0.9999331,0.00002424263,0.000002822699,0.00001335711,0.00001341622,0.0000129954],"domain_scores_gemma":[0.9996986,0.0001871775,0.00001251222,0.00001592151,0.00003041885,0.00005536497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001019163,0.00005098694,0.001056304,0.00003280275,0.00003933362,0.000141238,0.00004973606,0.9884654,0.0005705844,0.006085369,0.001202015,0.002204336],"study_design_scores_gemma":[0.00003532604,0.00001949933,0.0001729135,0.000005458289,0.000007693377,0.000009975349,0.0000228284,0.9967919,0.00009701269,0.002058364,0.0007718577,0.000007306756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722346,0.001169587,0.07487421,0.008832186,0.0005244988,0.000202637,0.003423732,0.0006684653,0.03807003],"genre_scores_gemma":[0.9543979,0.0006069898,0.03341828,0.0005941266,0.00007384262,0.0002657628,0.001675949,0.0002157795,0.008751276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02498138,"threshold_uncertainty_score":0.04967195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07309056795973595,"score_gpt":0.4066132917962377,"score_spread":0.3335227238365018,"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."}}