{"id":"W2889653743","doi":"10.1029/2018wr023087","title":"Climate Controls on Runoff and Low Flows in Mountain Catchments of Western North America","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan; Simon Fraser University","funders":"Simon Fraser University; Pacific Institute for Climate Solutions","keywords":"Snowmelt; Surface runoff; Precipitation; Environmental science; Climate change; Hydrology (agriculture); Water year; Snow; Streamflow; Climatology; Drainage basin; Geography; Geology; Meteorology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002241657,0.0000793311,0.0001247459,0.0003349297,0.0002685991,0.0003366364,0.00009543439,0.00009217505,0.0006534617],"category_scores_gemma":[0.0005283187,0.00006935544,0.0001080423,0.0005947074,0.0003189812,0.0001779456,0.0002645033,0.0001028692,0.00003405575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004859128,"about_ca_system_score_gemma":0.0004119922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06902535,"about_ca_topic_score_gemma":0.1317916,"domain_scores_codex":[0.9998951,0.00004152431,0.000004541605,0.00001925143,0.00001709782,0.00002249226],"domain_scores_gemma":[0.999715,0.00007925851,0.00009415881,0.00001236924,0.00004441592,0.0000546908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006842727,0.00004413305,0.9911282,0.00001752572,0.00005352137,0.0001094812,0.0006246151,0.001308636,0.002612549,0.0001473153,0.0002227666,0.003662756],"study_design_scores_gemma":[0.000001429395,0.000004380646,0.9993448,0.000001274178,0.000003111096,0.000008316597,0.0001549834,0.0003303574,0.00002905362,0.00003423539,0.00008723957,8.696286e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996754,0.0000367069,0.00004269835,0.00001942207,4.335367e-7,0.000001352208,0.00005867234,0.000003233016,0.0001620953],"genre_scores_gemma":[0.9997856,0.00003303161,0.00004001371,0.000005803421,0.000001665125,0.00000259311,0.00006891848,9.968045e-7,0.00006142341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9309747,"threshold_uncertainty_score":0.1372471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030353525268854,"score_gpt":0.2943748375739759,"score_spread":0.2740713023212873,"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."}}