{"id":"W1999944782","doi":"10.1007/s00382-003-0361-1","title":"Nonlinear interdecadal changes of the El Ni�o-Southern Oscillation","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climatology; Sea surface temperature; El Niño Southern Oscillation; Mode (computer interface); Oscillation (cell signaling); Wind stress; Nonlinear system; Geology; Asymmetry; Atmospheric sciences; Environmental science; Physics","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":[0.000516246,0.0002368845,0.0001546533,0.0003153308,0.0004168784,0.0009725731,0.0002876705,0.0005233695,0.001610166],"category_scores_gemma":[0.002294108,0.0002340336,0.0002745366,0.0004940081,0.0004249697,0.0007762834,0.000687512,0.0005447834,0.0002120313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235738,"about_ca_system_score_gemma":0.0005932135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02945834,"about_ca_topic_score_gemma":0.03235555,"domain_scores_codex":[0.9999219,0.00002182702,0.000004653721,0.00002334738,0.00001138479,0.000016757],"domain_scores_gemma":[0.9997173,0.00007838433,0.00007154269,0.00003314263,0.00005356798,0.00004611147],"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":[0.0005736566,0.0001450004,0.5658522,0.0001044213,0.0003158015,0.0002911784,0.001280512,0.3601714,0.007045744,0.0317323,0.006346001,0.02614182],"study_design_scores_gemma":[0.00007298728,0.00003886463,0.4988787,0.000033167,0.00007853823,0.00009491044,0.0006585747,0.4763978,0.0005051572,0.01452961,0.008670339,0.00004141402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905952,0.0002160277,0.001914933,0.001072601,0.00005423283,0.000006556315,0.0004502466,0.00006380228,0.005626406],"genre_scores_gemma":[0.9984334,0.0001104771,0.0001873902,0.00002996408,0.00001547821,0.000004535222,0.0001513757,0.00001323564,0.001054221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02945834,"threshold_uncertainty_score":0.05857378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218001641397441,"score_gpt":0.2354307513713917,"score_spread":0.2232507349574173,"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."}}