{"id":"W4410910923","doi":"10.1016/j.matcom.2025.05.012","title":"Model selection and parameter identification analysis in epidemiological models","year":2025,"lang":"en","type":"article","venue":"Mathematics and Computers in Simulation","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Identification (biology); Selection (genetic algorithm); Computer science; Econometrics; Statistics; Mathematics; Machine learning; Biology","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":[0.010535,0.001029191,0.002192303,0.002367892,0.001041113,0.002236158,0.001899004,0.001868721,0.003863995],"category_scores_gemma":[0.07134727,0.001072326,0.001809096,0.001899989,0.002341851,0.003033502,0.002473903,0.002972652,0.0004832646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709978,"about_ca_system_score_gemma":0.002924346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005293894,"about_ca_topic_score_gemma":0.002983598,"domain_scores_codex":[0.9905055,0.00787853,0.000230573,0.0005918852,0.0005691819,0.0002243149],"domain_scores_gemma":[0.9311661,0.06349678,0.001751676,0.00153334,0.001637088,0.0004151039],"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":[0.0001166731,0.0001018033,0.00339894,0.0002239334,0.0002347333,0.000138868,0.0002732977,0.6853936,0.0005120406,0.2739328,0.002175827,0.03349739],"study_design_scores_gemma":[0.00001569745,0.00002020225,0.0002808313,0.00002006004,0.00002160731,0.00002257934,0.00002321145,0.803081,0.0001612113,0.1957065,0.0006352965,0.00001183097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01058057,0.0006677772,0.9858818,0.0009942221,0.00005063387,0.00003422709,0.00007312189,0.00013447,0.001583134],"genre_scores_gemma":[0.7220114,0.00287062,0.2648158,0.0005673271,0.0005371455,0.000587078,0.0006723049,0.0003005773,0.007637676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.010535,"threshold_uncertainty_score":0.05571508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2479523863010483,"score_gpt":0.4347634704832309,"score_spread":0.1868110841821826,"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."}}