{"id":"W1705283903","doi":"10.1029/2011wr010930","title":"Groundwater levels and teleconnection patterns in the Canadian Prairies","year":2012,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Teleconnection; Pacific decadal oscillation; Multivariate ENSO index; Environmental science; Groundwater; Climatology; Groundwater recharge; El Niño Southern Oscillation; Precipitation; Climate change; Hydrology (agriculture); La Niña; Aquifer; Geology; Geography; Oceanography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002904469,0.00009631606,0.00009646749,0.0004064727,0.0005557288,0.0004035325,0.0002677313,0.00007403502,0.0008065778],"category_scores_gemma":[0.00007870894,0.00005005045,0.00001772953,0.0001890274,0.0001993161,0.0003102649,0.00002914396,0.0003555604,0.0004351959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002243095,"about_ca_system_score_gemma":0.00002379381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6506172,"about_ca_topic_score_gemma":0.9473759,"domain_scores_codex":[0.9974961,0.0007316594,0.0001314902,0.0001846758,0.0004474531,0.001008646],"domain_scores_gemma":[0.9991988,0.000365658,0.00001010626,0.0001925385,0.00002996113,0.0002029601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002709582,0.000008451272,0.9806271,0.00001883786,0.000004304782,0.00001719461,0.01270384,0.00001122434,0.00002984313,0.00001020254,0.00009820907,0.006443671],"study_design_scores_gemma":[0.00008893547,0.00006891411,0.9137406,0.00001185334,0.000001374233,0.00005858969,0.001280986,0.00005435023,0.0003036671,0.00008824646,0.08422235,0.0000800752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925292,0.0002973115,7.751452e-7,0.003016506,0.00006081988,0.0002009559,0.0000243013,0.00001426999,0.003855824],"genre_scores_gemma":[0.9990931,0.00001318144,0.00001432236,0.0001156017,0.0001544064,0.000006212837,0.00002294412,0.000004959632,0.0005752602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2967587,"threshold_uncertainty_score":0.8831462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08988217952077406,"score_gpt":0.3086888004452916,"score_spread":0.2188066209245175,"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."}}