{"id":"W4405548887","doi":"10.5194/hess-2024-361","title":"Modelling the effects of climate and landcover change on the hydrologic regime of a snowmelt-dominated montane catchment","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada); Government of British Columbia; Kelowna General Hospital","funders":"","keywords":"Snowmelt; Montane ecology; Environmental science; Climate change; Hydrology (agriculture); Drainage basin; Physical geography; Geography; Snow; Meteorology; Ecology; Geology","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":[0.0003677778,0.0004871879,0.0003655769,0.0004914323,0.0005250406,0.001284056,0.0007055266,0.001303892,0.001961855],"category_scores_gemma":[0.0007280053,0.0002927328,0.0008462652,0.0005836591,0.0005694067,0.0005976654,0.0005474749,0.0005379863,0.0001615803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743419,"about_ca_system_score_gemma":0.001201321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06446908,"about_ca_topic_score_gemma":0.05626811,"domain_scores_codex":[0.9998523,0.0000456467,0.000005918424,0.00003271466,0.00001485975,0.00004845179],"domain_scores_gemma":[0.9996387,0.0001698305,0.00004583178,0.00001988268,0.00004379392,0.00008187861],"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":[0.00009070965,0.0001652769,0.02853251,0.00001825251,0.00006558336,0.0001386396,0.00004824946,0.9667677,0.001832442,0.0003867041,0.0002706863,0.001683219],"study_design_scores_gemma":[0.00003259592,0.00006436431,0.01273959,0.000003700693,0.00001673362,0.000018774,0.00008399605,0.9862689,0.0002386446,0.0002515155,0.0002719337,0.000009217242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968039,0.00004850608,0.001081945,0.0001433236,0.000007820939,0.00001419618,0.0002714823,0.00004662013,0.001582161],"genre_scores_gemma":[0.9982634,0.00004261235,0.0006569718,0.0000259379,0.000006618494,0.00001310502,0.0002512037,0.000008311925,0.0007317854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06446908,"threshold_uncertainty_score":0.1281877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754277970578154,"score_gpt":0.2230816548182712,"score_spread":0.2055388751124896,"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."}}