{"id":"W2095384438","doi":"10.1016/s0022-1694(03)00079-9","title":"Comment on ‘Detection of hydrologic trends and variability’ by Burn, D.H. and Hag Elnur, M.A., 2002. Journal of Hydrology 255, 107–122","year":2003,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; El Niño Southern Oscillation; Precipitation; Climatology; La Niña; Environmental science; Pacific decadal oscillation; Forcing (mathematics); Multivariate ENSO index; Hydrology (agriculture); Geography; Drainage basin; Geology; Meteorology","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":[0.01405004,0.001753704,0.002027323,0.002004165,0.004959214,0.003946751,0.006161346,0.07349847,0.006615493],"category_scores_gemma":[0.07675534,0.001916362,0.002623358,0.002196593,0.009192144,0.006098649,0.002885157,0.06800517,0.01228856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004623067,"about_ca_system_score_gemma":0.005926421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03719786,"about_ca_topic_score_gemma":0.03176096,"domain_scores_codex":[0.9871869,0.002197581,0.002827489,0.002255298,0.004389099,0.00114355],"domain_scores_gemma":[0.9462955,0.0278284,0.003857367,0.002385278,0.01628454,0.003348964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006269579,0.00001229004,0.000287569,0.000093555,0.00001622983,0.0002193076,0.0001333245,0.00004317941,0.000256526,0.001172378,0.9952927,0.002410269],"study_design_scores_gemma":[0.0001140472,0.00008237284,0.005096614,0.0005169176,0.00005808269,0.0007015049,0.0004748725,0.0002814682,0.0009878969,0.005334864,0.9861975,0.0001538225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003484056,0.001842082,0.0002740225,0.9330619,0.06237233,0.00002649449,0.0003235794,0.0001122833,0.001639038],"genre_scores_gemma":[0.001587543,0.0008820793,0.0003174524,0.951269,0.04348211,0.00005285024,0.00009827729,0.00004270956,0.002267861],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07349847,"threshold_uncertainty_score":0.07430458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006936310037518855,"score_gpt":0.2139998433666193,"score_spread":0.2070635333291005,"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."}}