{"id":"W2007227090","doi":"10.1016/j.jhydrol.2005.06.039","title":"Trends and variability in the hydrological regime of the Mackenzie River Basin","year":2005,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":328,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water year; Structural basin; Drainage basin; Environmental science; Hydrology (agriculture); Autocorrelation; Trend analysis; Streamflow; Climatology; Physical geography; Geology; Geography; Statistics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002096865,0.00008575587,0.0002182993,0.00005076314,0.00007830069,0.000003163985,0.0003805127,0.00008216358,0.0003845477],"category_scores_gemma":[0.0001111819,0.00004048911,0.00007813619,0.0001660511,0.0011663,0.00009696663,0.0002284133,0.0002844108,0.000008211774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002986232,"about_ca_system_score_gemma":0.00000323316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004414874,"about_ca_topic_score_gemma":0.0001014005,"domain_scores_codex":[0.9986072,0.0006029937,0.0003246801,0.0001244085,0.0001592343,0.0001815469],"domain_scores_gemma":[0.9993522,0.0002261554,0.0002115554,0.0001824822,0.000004748315,0.00002288034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002707083,0.0003917063,0.9687873,0.000005417272,0.0000749608,0.00004705258,0.003042578,0.006466199,0.0004312099,0.001115374,0.008167226,0.01120028],"study_design_scores_gemma":[0.0006466694,0.0002856282,0.9590917,0.000003084862,0.00005699727,0.00016818,0.00002870196,0.001107369,0.0001238739,0.01235326,0.02607293,0.00006166424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485852,0.00005290777,0.00003058357,0.04470497,0.00006964407,0.00005073765,8.842916e-7,0.000001941559,0.006503164],"genre_scores_gemma":[0.9972439,0.00004992567,0.0001621912,0.002382041,0.00004426834,0.000001716977,1.476253e-7,0.000002288583,0.0001134958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04865876,"threshold_uncertainty_score":0.429728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009924365936281883,"score_gpt":0.2258937188473023,"score_spread":0.2159693529110205,"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."}}