{"id":"W4408428086","doi":"10.5194/egusphere-egu25-12547","title":"What is the role of machine learning when we want to simulate hydrological processes?","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006383289,0.0003630187,0.0004669681,0.00004956634,0.0001930988,0.0001409191,0.001162292,0.0003584515,0.005236201],"category_scores_gemma":[0.0003811597,0.0002068697,0.0001526054,0.0002982967,0.0002957151,0.0001056228,0.004840856,0.001059167,0.0003833689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070135,"about_ca_system_score_gemma":0.00003542857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008061934,"about_ca_topic_score_gemma":0.0001148224,"domain_scores_codex":[0.9974703,0.0001956005,0.0004705332,0.0008729125,0.0005363855,0.0004542592],"domain_scores_gemma":[0.99864,0.0003784861,0.0002198493,0.000600728,0.00002642214,0.0001345245],"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":[0.00005458335,0.0001055688,0.005665667,0.00007935383,0.00003541428,0.000005173158,0.002860132,0.9573556,0.0004848168,0.00003874867,0.0003345984,0.03298036],"study_design_scores_gemma":[0.000215842,0.0003777032,0.0003770237,0.0005264862,0.0000994236,0.000009126679,0.0001490252,0.7923653,0.006521371,0.09300335,0.1057004,0.0006549219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363717,0.001067619,0.001174018,0.02781446,0.0003796488,0.001151138,0.00002999638,0.0003224509,0.03168898],"genre_scores_gemma":[0.9876017,0.000328708,0.002263874,0.001962781,0.00003465919,0.00004013776,0.00001103151,0.00001608355,0.007741047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1649903,"threshold_uncertainty_score":0.9956731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007947061895956,"score_gpt":0.2604607432817481,"score_spread":0.2403812726627886,"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."}}