{"id":"W4322020417","doi":"10.5194/egusphere-egu23-17184","title":"Participation of off-equatorial wave energy for the Atlantic Niño events identified by wave energy flux in case studies","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Tropical Atlantic; Atlantic Equatorial mode; Climatology; Equatorial waves; Oceanography; Forcing (mathematics); Ocean heat content; Latitude; North Atlantic Deep Water; Thermohaline circulation; Geology; Sea surface temperature; Flux (metallurgy); Range (aeronautics); Wind wave; Equator; Chemistry; Geodesy","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":[0.002035271,0.0002723641,0.0001818906,0.003168736,0.001103105,0.001291153,0.0004972178,0.0004790768,0.003687368],"category_scores_gemma":[0.007734876,0.0001435654,0.0006594333,0.003395576,0.0006060693,0.001164366,0.001060079,0.0004627714,0.0002193176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138394,"about_ca_system_score_gemma":0.0008741952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02898885,"about_ca_topic_score_gemma":0.04827955,"domain_scores_codex":[0.9987438,0.0004857219,0.0001398085,0.0002152709,0.0001987766,0.00021665],"domain_scores_gemma":[0.9961897,0.001867862,0.001059415,0.0002623544,0.000339426,0.0002813878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001882651,0.0001215475,0.9480852,0.0001568249,0.0001198336,0.004078479,0.005403139,0.003588439,0.000822179,0.007164488,0.003019508,0.02725201],"study_design_scores_gemma":[0.00001876071,0.0001119012,0.9007154,0.0004822271,0.0003083894,0.002831239,0.03424436,0.02155467,0.001776819,0.00500615,0.03286939,0.00008064047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775508,0.0007341019,0.004500774,0.0003321459,0.00005879178,0.0001028536,0.001669629,0.00002683318,0.01502389],"genre_scores_gemma":[0.9939832,0.0003817451,0.003315023,0.0000350806,0.00002276729,0.00007613758,0.001188088,0.00001257186,0.0009855552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02898885,"threshold_uncertainty_score":0.05764019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06975698359843785,"score_gpt":0.2846696997953941,"score_spread":0.2149127161969563,"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."}}