{"id":"W4283119443","doi":"10.3390/math10122136","title":"Advances in Parameter Estimation and Learning from Data for Mathematical Models of Hepatitis C Viral Kinetics","year":2022,"lang":"en","type":"article","venue":"Mathematics","topic":"Hepatitis C virus research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Estimation; Kinetics; Viral hepatitis; Computer science; Virology; Econometrics; Artificial intelligence; Applied mathematics; Mathematics; Statistical physics; Biological system; Biology; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005388469,0.001418574,0.001387633,0.001186184,0.0005296927,0.001645796,0.001584374,0.00193753,0.001159726],"category_scores_gemma":[0.0298102,0.0008436209,0.00205606,0.0008609142,0.001193051,0.002101004,0.00193004,0.003614912,0.0004276455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105594,"about_ca_system_score_gemma":0.001280315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004093787,"about_ca_topic_score_gemma":0.002325583,"domain_scores_codex":[0.9979402,0.001109389,0.0001685799,0.0003536952,0.0003652604,0.00006286587],"domain_scores_gemma":[0.9830558,0.01355353,0.001015409,0.001280465,0.0009222693,0.0001724426],"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":[0.00004470737,0.00005385414,0.002034534,0.0002313065,0.0001336615,0.00006928125,0.00009299165,0.918862,0.002242169,0.03023082,0.0006157705,0.04538894],"study_design_scores_gemma":[0.0000017437,0.000008624669,0.0001164644,0.00001044708,0.000005508309,0.00001027544,0.00000460752,0.9914386,0.0002945106,0.007616121,0.0004856309,0.000007367973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005654604,0.001096854,0.9920014,0.0004476447,0.00005117471,0.00002563287,0.00006666615,0.0001496314,0.0005063167],"genre_scores_gemma":[0.3907527,0.006590329,0.5982827,0.0004181343,0.0005486143,0.0003862239,0.0006938995,0.0002964504,0.002030895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005388469,"threshold_uncertainty_score":0.02849728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0934121849125899,"score_gpt":0.3654309945412569,"score_spread":0.272018809628667,"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."}}