{"id":"W4321226914","doi":"10.1080/07055900.2023.2173555","title":"Impact of Westerly Wind Bursts (WWBs) on ENSO based on a Hybrid Coupled Model: Part II – ENSO Prediction","year":2023,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"El Niño Southern Oscillation; Climatology; Multivariate ENSO index; Westerlies; Wind speed; Environmental science; Meteorology; Atmospheric sciences; Geology; Southern oscillation; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003695381,0.000250917,0.0003261983,0.00002365534,0.0002806392,0.00003766879,0.0002180536,0.00009981886,0.003358764],"category_scores_gemma":[0.0001020897,0.0001845301,0.0001999469,0.0004202961,0.00008687191,0.0001464595,0.00001233051,0.0001944415,0.0003134328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001829172,"about_ca_system_score_gemma":0.00008537276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003567878,"about_ca_topic_score_gemma":0.00005011,"domain_scores_codex":[0.9981238,0.0001105104,0.0003925928,0.000429252,0.0004930042,0.0004508206],"domain_scores_gemma":[0.9987175,0.0004105699,0.0001441503,0.0004184419,0.00006523903,0.0002440303],"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":[0.0002483034,0.00007425009,0.1795822,0.000006837739,0.00003061429,0.00001067885,0.000104973,0.8148372,0.00001900538,0.00002315091,0.002438765,0.002624077],"study_design_scores_gemma":[0.000529932,0.002032127,0.3191459,0.00001967019,0.00002017964,9.038793e-7,0.0000152158,0.6770824,0.00001495792,0.0007510816,0.0002577797,0.000129865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993368,0.000020244,0.0001211057,0.0001363161,0.000245206,0.0003191445,0.0004556898,0.0001915269,0.005142806],"genre_scores_gemma":[0.9979758,0.00001137261,0.0001429532,0.0002546427,0.0001227057,7.9024e-7,0.0005511611,0.00001189352,0.0009286687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395638,"threshold_uncertainty_score":0.9975523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425283444616826,"score_gpt":0.2442851147402429,"score_spread":0.2200322802940746,"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."}}