{"id":"W4411148768","doi":"10.1080/07055900.2025.2513307","title":"Asymmetrical Impact of El Niño to La Niña Transition in the Tropical Pacific Basin on Hot Extremes over India","year":2025,"lang":"es","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Pacific basin; Structural basin; Geography; Tropical cyclone; Oceanography; Geology; Environmental science; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006811662,0.0003180124,0.0004368055,0.00003059616,0.0001083204,0.0001038261,0.0004742196,0.0002820449,0.001103408],"category_scores_gemma":[0.00017495,0.0002295436,0.0003194165,0.001499165,0.0002754883,0.0001728207,0.00009953811,0.0004295405,0.00007952153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004404023,"about_ca_system_score_gemma":0.00007193264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841402,"about_ca_topic_score_gemma":0.00007105378,"domain_scores_codex":[0.9972708,0.0005823868,0.0005340726,0.0005835293,0.0005457617,0.0004835092],"domain_scores_gemma":[0.9982719,0.0008854115,0.00008829437,0.0006048221,0.00001304255,0.0001365084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007904052,0.002147689,0.955645,0.00008388046,0.0000736701,0.0000283032,0.004483768,0.01073069,0.0007069537,0.008100932,0.006289165,0.01091954],"study_design_scores_gemma":[0.0008396015,0.0005932872,0.9898021,0.0001596143,0.00005359535,0.000003013595,0.0006574935,0.004170199,0.0001818319,0.001585927,0.001722805,0.0002305136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981553,0.00005997287,0.0004021694,0.001256848,0.00009636638,0.0005894745,0.0001046705,0.00002079827,0.01591671],"genre_scores_gemma":[0.9988288,0.00009734272,0.000241536,0.0006526429,0.00003662301,0.000006698714,0.00001108548,0.00001836295,0.0001069255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03415711,"threshold_uncertainty_score":0.9998097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161054642100895,"score_gpt":0.2706772174967742,"score_spread":0.2590666710757653,"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."}}