{"id":"W4414661273","doi":"10.1007/s13143-025-00413-8","title":"Applicability of Reanalysis Data in Analyzing the Occurrence time of Extreme Temperature Events in China","year":2025,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Atmospheric Sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Extreme Cold; Variation (astronomy); Climate change; Extreme value theory; Frost (temperature); Spatial variability; Extreme weather; Spatial distribution","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":[0.005821147,0.0001277652,0.0004225505,0.00003047383,0.00008968887,0.00001832301,0.00175776,0.00006108965,0.0003042377],"category_scores_gemma":[0.0004622469,0.00008118592,0.00009824393,0.003464802,0.0008211068,0.0005212182,0.0004014267,0.0002638286,0.000002614788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078091,"about_ca_system_score_gemma":0.0001334616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005220144,"about_ca_topic_score_gemma":0.0001955177,"domain_scores_codex":[0.997639,0.0002602641,0.0009104559,0.0003720686,0.0005805313,0.0002376863],"domain_scores_gemma":[0.9984007,0.000318644,0.0005255409,0.0006805135,0.00002922948,0.00004530755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004171307,0.0003220424,0.9580711,0.00002381147,0.00002092534,0.000001723429,0.0009468044,0.02741983,0.007933693,0.00003907521,0.000164029,0.005015238],"study_design_scores_gemma":[0.0005768724,0.0001749817,0.9010652,0.0003198739,0.00009846323,0.00001246504,0.005342829,0.08545911,0.0009857356,0.005502306,0.0002332473,0.000228923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961048,0.0003078519,0.0002626467,0.0007224958,0.00006865847,0.0001503682,0.00001536738,0.000002342286,0.002365501],"genre_scores_gemma":[0.9970145,0.000144224,0.002779414,0.00001007629,0.00000635512,0.000001640183,0.000001793427,0.000001817085,0.00004020601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05803928,"threshold_uncertainty_score":0.333119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121741042041999,"score_gpt":0.2726154242155935,"score_spread":0.2513980137951735,"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."}}