{"id":"W2036024310","doi":"10.1371/journal.pone.0057088","title":"Assessing Mathematical Models of Influenza Infections Using Features of the Immune Response","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; F. Hoffmann-La Roche","keywords":"Immune system; Host response; Mathematical model; Immunology; Experimental data; Computational biology; Biology; Computer science; Mathematics; Statistics","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":[0.002362607,0.001078475,0.0008174088,0.0009329533,0.000398792,0.001178468,0.001160367,0.001297144,0.001260372],"category_scores_gemma":[0.01197588,0.0004728407,0.001426758,0.0004652255,0.0009360255,0.001420544,0.0009704188,0.0009016838,0.0002526071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648581,"about_ca_system_score_gemma":0.001031614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003855624,"about_ca_topic_score_gemma":0.001693992,"domain_scores_codex":[0.9994211,0.0003100717,0.00003274749,0.00007060646,0.00008706071,0.00007842794],"domain_scores_gemma":[0.9930241,0.005449611,0.0008824631,0.0002178163,0.0003045898,0.0001213193],"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":[0.00002632492,0.0000322101,0.001260103,0.00003974462,0.00001991138,0.00003883979,0.00004386505,0.9800578,0.0009785036,0.01616004,0.000126766,0.001215899],"study_design_scores_gemma":[0.000004909741,0.00001741603,0.0001903037,0.000004431809,0.000005426203,0.000009589494,0.0000113448,0.9947197,0.0001477124,0.004772134,0.0001116924,0.000005250817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5235407,0.001106439,0.4612848,0.001521557,0.00009450425,0.0001721588,0.0005561476,0.0002488339,0.01147474],"genre_scores_gemma":[0.9616479,0.0007735886,0.03397133,0.0001478732,0.00006547238,0.0002819424,0.0002829514,0.00006445455,0.00276447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003855624,"threshold_uncertainty_score":0.0124948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.247346454988919,"score_gpt":0.4014554518436128,"score_spread":0.1541089968546938,"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."}}