{"id":"W1870237606","doi":"10.1002/joc.4263","title":"Revisiting the nonlinear relationship between<scp>ENSO</scp>and winter extreme station precipitation in North America","year":2015,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Pacific Institute for Climate Solutions; University of Victoria","funders":"","keywords":"Climatology; Precipitation; Akaike information criterion; El Niño Southern Oscillation; Teleconnection; Nonlinear system; Environmental science; Maxima; Forcing (mathematics); Atmospheric sciences; Meteorology; Mathematics; Statistics; Geography; Geology; Physics; History","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001427129,0.0001714744,0.0001464063,0.0002853854,0.0002523775,0.0004231816,0.000352357,0.0001925509,0.001157304],"category_scores_gemma":[0.00306724,0.0001439017,0.0003191038,0.0006090518,0.0003904566,0.0004664595,0.0004702054,0.0004033919,0.0001368419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006112613,"about_ca_system_score_gemma":0.0007685258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08059401,"about_ca_topic_score_gemma":0.09686065,"domain_scores_codex":[0.9995885,0.0002461506,0.00001499824,0.00007544346,0.00004620038,0.00002859246],"domain_scores_gemma":[0.9980747,0.001164957,0.0003198148,0.0001441235,0.0002285753,0.00006789693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001007244,0.00003597802,0.9787362,0.00002786829,0.0001938236,0.0001440671,0.0004744563,0.009469021,0.002468829,0.0007244837,0.0006501077,0.006974485],"study_design_scores_gemma":[0.000002979721,0.00002475229,0.9712984,0.000009383306,0.00002638152,0.00003188512,0.000614,0.02643971,0.0002386853,0.000563885,0.0007432933,0.000006709503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981923,0.00008783671,0.0006659953,0.0002076344,0.000005102777,0.000002337465,0.0001948572,0.00001256172,0.0006314585],"genre_scores_gemma":[0.9994012,0.00003104089,0.0002200105,0.00001707618,0.000003499935,0.00000218697,0.0001618779,0.000004074871,0.0001591644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.919406,"threshold_uncertainty_score":0.1602498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07078993030810601,"score_gpt":0.3127487681700948,"score_spread":0.2419588378619888,"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."}}