{"id":"W1565092696","doi":"10.1029/2012gl053409","title":"The impact of the El Niño‐Southern Oscillation on maximum temperature extremes","year":2012,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"El Niño Southern Oscillation; Climatology; Environmental science; Southern oscillation; Multivariate ENSO index; Climate change; Climate model; Maximum temperature; Magnitude (astronomy); Pacific decadal oscillation; Extreme value theory; La Niña; Atmospheric sciences; Geology; Physics; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007194438,0.0003044339,0.0003242874,0.000277944,0.0004872427,0.001359258,0.0003847837,0.0005458299,0.001671394],"category_scores_gemma":[0.003740792,0.0003428331,0.0004945839,0.0004879797,0.0003620104,0.001118708,0.0008548081,0.0006173219,0.0001889507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008070639,"about_ca_system_score_gemma":0.0006503859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025229,"about_ca_topic_score_gemma":0.02427514,"domain_scores_codex":[0.9996417,0.0001237705,0.00002793602,0.00006452299,0.00006987066,0.00007233624],"domain_scores_gemma":[0.9991618,0.0004504661,0.000140913,0.00007560741,0.00008586574,0.00008530273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007047072,0.0001980441,0.3393542,0.0001837037,0.0004205578,0.0004161943,0.0002135005,0.6262895,0.007702452,0.005579938,0.00270204,0.0162352],"study_design_scores_gemma":[0.0001032283,0.0002233929,0.4840176,0.00006413406,0.0001312847,0.0001456441,0.0003618283,0.5038322,0.003586345,0.003610157,0.003860952,0.00006329796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909109,0.0003502071,0.0008404815,0.0004116147,0.00004806038,0.000004637982,0.0008639767,0.00006176385,0.006508413],"genre_scores_gemma":[0.9991533,0.0001650693,0.0001329192,0.00002643912,0.00001116571,0.000002874235,0.00033384,0.00001133537,0.0001630411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02025229,"threshold_uncertainty_score":0.04026884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04072380938546565,"score_gpt":0.3287104684313346,"score_spread":0.287986659045869,"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."}}