{"id":"W4411350157","doi":"10.1016/j.accre.2025.06.004","title":"Rapid attribution prototype for extreme high temperature events in China","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"China Meteorological Administration; National Natural Science Foundation of China; China National Funds for Distinguished Young Scientists; American Meteorological Society","keywords":"Attribution; China; Environmental science; History; Psychology; Social psychology; Archaeology","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":[0.002821621,0.0001368748,0.0002092553,0.0002104298,0.000186464,0.00001860243,0.0003277838,0.0001470367,0.0003669013],"category_scores_gemma":[0.0002261635,0.000125132,0.00004096526,0.00114938,0.0001525363,0.0006179939,0.0003750841,0.0003997469,0.00004664852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006523,"about_ca_system_score_gemma":0.00001798124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003659199,"about_ca_topic_score_gemma":0.002099101,"domain_scores_codex":[0.9977856,0.0002308436,0.0002827164,0.0005369122,0.0003726564,0.0007912543],"domain_scores_gemma":[0.9992827,0.0002773311,0.0000341608,0.0003232934,0.00002837238,0.00005414268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002461077,0.00179781,0.8107253,0.002156012,0.00001103648,0.00002022128,0.002137231,0.001881647,0.01710749,0.02353497,0.0003200047,0.1378473],"study_design_scores_gemma":[0.005268705,0.00101746,0.739816,0.001788185,0.00001026168,0.000002992336,0.000631546,0.009941905,0.005743228,0.1701005,0.06489128,0.0007879357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877677,0.001503074,0.00006436877,0.002430605,0.0002688047,0.00480142,0.0001174721,0.00003333828,0.003013217],"genre_scores_gemma":[0.9852275,0.01068235,0.0004830933,0.00007419777,0.00005254346,0.003260728,0.00007738957,0.00001324199,0.000128921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1465655,"threshold_uncertainty_score":0.5102736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466437102135071,"score_gpt":0.4142424392971716,"score_spread":0.2675987290836645,"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."}}