{"id":"W4415768585","doi":"10.1029/2025ms004961","title":"How Spatial Resolutions Impact the Large‐Scale River Hydrodynamic Model Simulations: Analysis Focuses on Model Physics","year":2025,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"New Energy and Industrial Technology Development Organization; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Floodplain; Downscaling; Flood myth; Range (aeronautics); Benchmark (surveying); Discharge; Hydrology (agriculture); Hydrological modelling; Bifurcation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000256,0.0001663761,0.0003278181,0.0002195649,0.0002143041,0.0001031576,0.0003245055,0.00004716508,0.000004508241],"category_scores_gemma":[0.00002686102,0.0001088974,0.0002452022,0.0006664112,0.00005740647,0.0007931804,0.00009776725,0.000258873,0.000002375858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203098,"about_ca_system_score_gemma":0.00003799936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002066154,"about_ca_topic_score_gemma":0.001687534,"domain_scores_codex":[0.998423,0.00009899669,0.0004673145,0.0002112127,0.0005344326,0.0002650817],"domain_scores_gemma":[0.999219,0.0000722632,0.000305751,0.0003139734,0.00004268434,0.00004635562],"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":[0.00003176149,0.0001061542,0.004506836,0.000009317892,0.0001043259,0.000001258223,0.0002769476,0.9938061,0.00004573386,0.0003022443,0.00004735087,0.0007619603],"study_design_scores_gemma":[0.0004054455,0.00004484807,0.0003056373,0.00007698853,0.000210197,4.592938e-7,0.0002429274,0.9937897,0.000004474577,0.004694674,0.0001152491,0.000109431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2273346,0.0005585591,0.7710922,0.0001718387,0.0001452876,0.0001918135,0.00001774074,0.000009254305,0.0004787147],"genre_scores_gemma":[0.9937424,0.0004588871,0.005174389,0.00004141976,0.00005843625,0.000007206749,0.000003868309,0.000009262284,0.000504145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7664078,"threshold_uncertainty_score":0.4440706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120667055328443,"score_gpt":0.2914581208076562,"score_spread":0.2802514502543718,"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."}}