{"id":"W2810212364","doi":"10.1002/hyp.13180","title":"Climate change and hydrology at the prairie margin: <scp>H</scp>istoric and prospective future flows of Canada's <scp>R</scp>ed <scp>D</scp>eer and other <scp>R</scp>ocky <scp>M</scp>ountain rivers","year":2018,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Climate Extremes; Alberta Environment and Parks; World Wildlife Fund","keywords":"Tributary; Foothills; Hydrology (agriculture); Drainage basin; Streamflow; Downscaling; HadCM3; Structural basin; Climate change; Environmental science; Climatology; Geography; Geology; Oceanography; General Circulation Model; GCM transcription factors","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003267724,0.00008528012,0.00009567641,0.0004761254,0.0006818284,0.00108059,0.0003180035,0.0002441921,0.001540627],"category_scores_gemma":[0.00070264,0.00008175653,0.0002093447,0.00089425,0.0003996298,0.0003769444,0.000416941,0.0004934688,0.0001198445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004299502,"about_ca_system_score_gemma":0.003856107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8895844,"about_ca_topic_score_gemma":0.9388133,"domain_scores_codex":[0.9999061,0.00001030598,0.000004510297,0.00002589731,0.0000260101,0.00002722689],"domain_scores_gemma":[0.9995288,0.00004511424,0.00006739435,0.00002521782,0.0002262022,0.0001073347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004163805,0.00004342483,0.9853346,0.00001192152,0.0000693956,0.0001019318,0.0004207298,0.003491299,0.0008970563,0.0007186008,0.001780789,0.007088562],"study_design_scores_gemma":[0.000002521855,0.000003790044,0.9955794,0.000007536913,0.000007799184,0.0000112875,0.0005384037,0.002534142,0.0001005367,0.00006111158,0.001148154,0.000005233448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948117,0.0001270602,0.00009167333,0.0005401667,0.000006232686,0.000004676377,0.00179529,0.00001128256,0.002611864],"genre_scores_gemma":[0.9984491,0.00007945365,0.0001326874,0.00002406569,0.000003490766,0.000002327526,0.0005749826,0.000004148805,0.0007297104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1104156,"threshold_uncertainty_score":0.2221317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771707922163884,"score_gpt":0.2077578677723818,"score_spread":0.1900407885507429,"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."}}