{"id":"W4416667221","doi":"10.3390/v17121541","title":"Integrating Machine Learning with Hybrid and Surrogate Models to Accelerate Multiscale Modeling of Acute Respiratory Infections","year":2025,"lang":"en","type":"article","venue":"Viruses","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Autoencoder; IBM; Representation (politics); Multiscale modeling; Transmission (telecommunications); Surrogate model; Extreme learning machine","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":[0.0007997047,0.0004288214,0.0005644215,0.0003641538,0.0001671923,0.0006581976,0.0006773043,0.0006807356,0.0006292291],"category_scores_gemma":[0.002898409,0.00028475,0.0005465257,0.0003226724,0.0002905478,0.0006926756,0.0007259764,0.0007389639,0.0001912832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641062,"about_ca_system_score_gemma":0.000607993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0043399,"about_ca_topic_score_gemma":0.002760626,"domain_scores_codex":[0.9997929,0.00009240197,0.00001332133,0.00002841398,0.00004751209,0.00002545308],"domain_scores_gemma":[0.9991426,0.0005116394,0.0001109872,0.00007177786,0.0001133971,0.00004946991],"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":[0.00001412396,0.00001418086,0.0006346488,0.00001113506,0.00001167037,0.00001625673,0.00001012143,0.9914129,0.0007032955,0.001852908,0.00008237289,0.005236457],"study_design_scores_gemma":[6.384811e-7,0.000003427049,0.00003183436,8.6401e-7,6.89633e-7,0.000001958399,6.653319e-7,0.9995241,0.00007987296,0.0003101844,0.00004501797,7.757982e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1182575,0.0003878988,0.8782218,0.0003210781,0.00007368615,0.0000249629,0.00007977455,0.0006055477,0.002027807],"genre_scores_gemma":[0.9020227,0.0002143289,0.09635209,0.00006259029,0.00004235087,0.00005233666,0.0001481996,0.00005321669,0.001052219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0043399,"threshold_uncertainty_score":0.008629262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2752111684676953,"score_gpt":0.4202822443143082,"score_spread":0.1450710758466129,"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."}}