{"id":"W1990581467","doi":"10.1002/hyp.161","title":"Scaling aspects of river flow routing","year":2001,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Streamflow; Routing (electronic design automation); Environmental science; Flow (mathematics); Surface runoff; Flow routing; Hydrology (agriculture); Drainage basin; Scaling; Geology; Computer science; Geography; Mathematics; Cartography; Ecology","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":[0.002223762,0.0002703866,0.0002414901,0.0003911805,0.0003287419,0.0009572958,0.0003614468,0.0003806291,0.001062245],"category_scores_gemma":[0.01350009,0.0001984355,0.0003174325,0.0005144425,0.0007981912,0.001380721,0.0005549471,0.0003350971,0.0001139417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009443505,"about_ca_system_score_gemma":0.0004105205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002614754,"about_ca_topic_score_gemma":0.001695679,"domain_scores_codex":[0.9990675,0.0004328611,0.00006044147,0.0001569722,0.0002174848,0.00006485989],"domain_scores_gemma":[0.9940427,0.003155819,0.0007234041,0.001245624,0.0006739188,0.0001584705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001825755,0.00007600088,0.02212937,0.00008270598,0.00007801093,0.0001828648,0.0003307672,0.8286517,0.01200869,0.05362884,0.001587236,0.08106127],"study_design_scores_gemma":[0.00004550539,0.0001247723,0.01088342,0.00002448872,0.00003376653,0.0001176451,0.0001246526,0.941204,0.002650957,0.04219144,0.00256421,0.00003520619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8632598,0.0006049098,0.1198982,0.0006478484,0.00009874957,0.0001051729,0.0002523432,0.0004587731,0.01467403],"genre_scores_gemma":[0.9908606,0.0001557448,0.008374435,0.0000427839,0.00002956881,0.00003209572,0.0001272392,0.00003369876,0.0003438065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002614754,"threshold_uncertainty_score":0.01176053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181508549864691,"score_gpt":0.2285231982534491,"score_spread":0.21037234326698,"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."}}