{"id":"W1996014222","doi":"10.4296/cwrj3301073","title":"Assessing the Effect of Climate Change on River Flow Using General Circulation Models and Hydrological Modelling – Application to the Chaudière River, Québec, Canada","year":2008,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Environmental science; Watershed; Hydrology (agriculture); Surface runoff; Climatology; Climate change; Delta; Scale (ratio); Streamflow; Hydrological modelling; Drainage basin; Meteorology; Precipitation; Geography; Computer science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001041793,0.0006779068,0.0004124665,0.0005869676,0.0009791479,0.001197324,0.0008847463,0.000669457,0.00137597],"category_scores_gemma":[0.002725243,0.0002851156,0.0005713612,0.001257166,0.0005602171,0.0004450798,0.0004817496,0.0005040075,0.00009714708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01457876,"about_ca_system_score_gemma":0.01114248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867901,"about_ca_topic_score_gemma":0.9843394,"domain_scores_codex":[0.9996426,0.0001277648,0.0000176876,0.00006820038,0.00007985623,0.00006399285],"domain_scores_gemma":[0.9987823,0.0006204516,0.00008176838,0.00005815864,0.0003671937,0.00009004659],"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":[0.0003145313,0.0002308597,0.1391578,0.000148541,0.0002642033,0.0002402737,0.0002363932,0.8279001,0.002577364,0.0006559069,0.001364472,0.02690953],"study_design_scores_gemma":[0.0001374588,0.000165498,0.1531226,0.00003107851,0.0001608504,0.00002480077,0.0004133233,0.8419634,0.001897063,0.0002007467,0.001816681,0.0000665428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937652,0.0002856727,0.002056568,0.0002397342,0.0000104847,0.00006281049,0.001086524,0.0001618022,0.002331037],"genre_scores_gemma":[0.9928392,0.0002759339,0.004362024,0.00004492291,0.000003825507,0.00003113536,0.0008269265,0.00002002573,0.001596009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01457876,"threshold_uncertainty_score":0.1057768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707375503916064,"score_gpt":0.2156557332500145,"score_spread":0.1885819782108538,"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."}}