{"id":"W4416341393","doi":"10.1101/2025.11.12.25339917","title":"Data-driven forecasting of Flu, RSV, and COVID-19 related outcomes in the United States and Canada via Hankel dynamic mode decomposition","year":2025,"lang":"","type":"preprint","venue":"medRxiv","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Dynamic mode decomposition; Baseline (sea); Mode (computer interface); Thresholding; Decomposition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001078233,0.0006567993,0.0003543281,0.0006970074,0.0004866178,0.0007968234,0.0007199229,0.0003937289,0.0008624886],"category_scores_gemma":[0.003555792,0.0002643694,0.0005357744,0.0006501485,0.0003758033,0.0004282052,0.0004529767,0.0008168377,0.0001668049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003700183,"about_ca_system_score_gemma":0.006192168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8515587,"about_ca_topic_score_gemma":0.7908537,"domain_scores_codex":[0.9997939,0.00003933849,0.000009045412,0.00005262432,0.00005488563,0.00005012012],"domain_scores_gemma":[0.9989901,0.0002443187,0.00007361595,0.00006457509,0.0005290309,0.00009839008],"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":[0.0001522133,0.00005184955,0.09796514,0.00004966281,0.0001249165,0.0001084733,0.00008346864,0.8800289,0.001179914,0.001152319,0.004724964,0.01437815],"study_design_scores_gemma":[0.00001192326,0.000009941683,0.01492338,0.000008074426,0.00001023142,0.000006857528,0.00004253481,0.9834604,0.0005354637,0.0003434483,0.0006341729,0.00001362914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734056,0.0003302568,0.01405341,0.0008206246,0.00006760946,0.00004648437,0.007999329,0.0005876587,0.002688978],"genre_scores_gemma":[0.9886549,0.00009310262,0.005455651,0.00006321105,0.00001207889,0.00001241302,0.005006368,0.00003500433,0.0006673092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1484413,"threshold_uncertainty_score":0.2986309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480177286881375,"score_gpt":0.3225764304486621,"score_spread":0.2877746575798483,"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."}}