{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003448192,0.00008328712,0.00009047216,0.000007544047,0.0001914924,0.00002834262,0.0001211722,0.00005749428,0.00001421903],"category_scores_gemma":[0.0002021287,0.00006151828,0.00002513141,0.00004478632,0.000192591,0.00007076731,0.0001404617,0.0001455677,0.000007616855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004028784,"about_ca_system_score_gemma":0.00001133153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022656,"about_ca_topic_score_gemma":0.008099996,"domain_scores_codex":[0.9992308,0.0000181591,0.0002144078,0.000181234,0.000172775,0.0001826177],"domain_scores_gemma":[0.9995316,0.0001125472,0.0001079928,0.000184545,0.000006725617,0.0000566264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005074935,0.0000963702,0.6378565,0.00005011225,0.0000148978,0.00000881586,0.0009929716,0.1754478,0.1796628,0.0002658838,0.000007814253,0.005545232],"study_design_scores_gemma":[0.0003083186,0.00003217834,0.9629354,0.00004499349,0.00001116047,0.000005901898,0.00005575547,0.001133304,0.03173335,0.002992421,0.0006219831,0.0001251581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980825,0.0000198654,0.00003489346,0.0002526128,0.00008294998,0.00008558108,0.000005185607,0.0000207373,0.001415646],"genre_scores_gemma":[0.9967178,0.00001279478,0.00318988,0.00002579779,0.00003776213,5.914642e-7,0.000001119301,0.000006299572,0.000007949611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3250789,"threshold_uncertainty_score":0.9838522,"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."}}