{"id":"W3171611697","doi":"","title":"The Spatial and Temporal Structure of ENSO Nonlinearity","year":2004,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Canadian Institute for Advanced Research","funders":"","keywords":"La Niña; Climatology; Skewness; Principal component analysis; Sea surface temperature; Anomaly (physics); Nonlinear system; Standard deviation; Sign (mathematics); Asymmetry; Common spatial pattern; Mode (computer interface); Magnitude (astronomy); Geology; El Niño Southern Oscillation; Mathematics; Physics; Statistics; Mathematical analysis","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":[0.0005053352,0.0001309553,0.0001226651,0.0006003178,0.0002507934,0.0005036773,0.0001517037,0.0001932163,0.001231002],"category_scores_gemma":[0.003471789,0.0002006071,0.0002044523,0.0005449644,0.0003266568,0.0006685351,0.0005186544,0.0002951917,0.0001259411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005890294,"about_ca_system_score_gemma":0.0003712846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00642161,"about_ca_topic_score_gemma":0.008455675,"domain_scores_codex":[0.9998714,0.00003616541,0.00001033268,0.00002903606,0.0000285017,0.00002454115],"domain_scores_gemma":[0.9984556,0.0007720578,0.0003620813,0.0001231029,0.0002216347,0.00006546145],"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":[0.0003788555,0.00004252865,0.8107325,0.00006702389,0.0001241466,0.0004247166,0.0005855399,0.1322398,0.01743249,0.01256065,0.0008032227,0.02460838],"study_design_scores_gemma":[0.00001042765,0.00004329957,0.7595313,0.00002141049,0.00003553457,0.0002329793,0.0003120968,0.2322545,0.002301673,0.004081452,0.001143386,0.00003199727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994664,0.0001250621,0.001780465,0.0001727475,0.000004388984,0.00000477236,0.0002904587,0.00002792301,0.002930308],"genre_scores_gemma":[0.9993481,0.00004607413,0.0001552367,0.000004238203,0.000003458065,0.000003282556,0.0001503943,0.000005296269,0.0002840504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00642161,"threshold_uncertainty_score":0.01276845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165807139725608,"score_gpt":0.2266515185743096,"score_spread":0.2149934471770535,"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."}}