{"id":"W4402384917","doi":"","title":"Benefits and limits of a semi-distributed multi-model approach for streamflow forecasting on the Rhône River basin (France)","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Streamflow; Hydrology (agriculture); Structural basin; Drainage basin; Flood forecasting; Environmental science; Geology; Meteorology; Climatology; Geomorphology; Geography; Geotechnical engineering; Cartography","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":[0.001271525,0.0005375692,0.0008847525,0.0004223472,0.0005204431,0.001126988,0.001032838,0.001086228,0.001022614],"category_scores_gemma":[0.002838945,0.0004319128,0.0005459842,0.0003368489,0.0004591641,0.001322635,0.0007814785,0.0007296277,0.000151199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000958185,"about_ca_system_score_gemma":0.001385285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0420599,"about_ca_topic_score_gemma":0.0238973,"domain_scores_codex":[0.9994766,0.0003236139,0.00003226157,0.00008185513,0.00005163237,0.00003410905],"domain_scores_gemma":[0.9981683,0.001246569,0.0001064486,0.0001230114,0.0002640317,0.00009156561],"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":[0.00006847862,0.00003045986,0.000856374,0.00001014874,0.00002074867,0.0000165636,0.00001445276,0.9905846,0.0002127316,0.0002735769,0.00009129477,0.007820602],"study_design_scores_gemma":[0.000008705825,0.00001127327,0.0001639748,0.000001208054,0.000003082475,0.000002131738,0.000003737508,0.9995002,0.00003674094,0.0002404238,0.00002668338,0.00000191202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6787882,0.0005125298,0.3134474,0.001132184,0.00009217731,0.00007397344,0.0003920479,0.001097561,0.004463932],"genre_scores_gemma":[0.9859367,0.00004914256,0.01321502,0.00004621873,0.00002464649,0.00003172089,0.000100392,0.00002609255,0.0005700734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0420599,"threshold_uncertainty_score":0.08363014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848120464262672,"score_gpt":0.21788340896233,"score_spread":0.1894022043197033,"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."}}