{"id":"W3102608271","doi":"10.1002/hyp.13982","title":"Linking hydrological variations at local scales to regional climate teleconnection patterns","year":2020,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Teleconnection; Surface runoff; Environmental science; Precipitation; North Atlantic oscillation; Climatology; Snow; Structural basin; Water cycle; Climate change; Atmospheric sciences; Hydrology (agriculture); Geology; Geography; Ecology; Meteorology; Oceanography","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":[0.0002234379,0.0001007951,0.0001203645,0.0006716551,0.0001517031,0.0003669777,0.0001042501,0.0000989892,0.000798329],"category_scores_gemma":[0.000545891,0.00008321148,0.0001523584,0.0006367748,0.0001843307,0.000202815,0.0003376385,0.0001481201,0.00007140253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962188,"about_ca_system_score_gemma":0.0001642384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009166352,"about_ca_topic_score_gemma":0.01644354,"domain_scores_codex":[0.999934,0.00001586697,0.000005325912,0.00002154201,0.000008756226,0.00001455466],"domain_scores_gemma":[0.9997314,0.00008851453,0.00006711935,0.00002723761,0.0000493906,0.00003647368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003987002,0.00003725169,0.983663,0.00001322403,0.00006948708,0.00007534427,0.0001797948,0.003153143,0.006328719,0.0001568884,0.0001604878,0.006122917],"study_design_scores_gemma":[0.000001219876,0.000005405163,0.9970926,0.000001111324,0.000005641402,0.000008457578,0.0001045528,0.002521301,0.0001493545,0.00005004265,0.00005873349,0.000001616184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992852,0.00001595132,0.0001980538,0.00001280522,9.296929e-7,0.000002974169,0.0001226134,0.000005604184,0.0003559676],"genre_scores_gemma":[0.999738,0.00001127142,0.00008954202,0.000003564694,0.000001655138,0.00000214489,0.0001027046,0.000001060935,0.00005005742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009166352,"threshold_uncertainty_score":0.01822603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04253026800930903,"score_gpt":0.250656069284492,"score_spread":0.2081258012751829,"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."}}