{"id":"W4405570636","doi":"10.1002/gch2.202400207","title":"Extreme Temperature Events in Kazakhstan and Their Impacts on Public Health and Energy Demand","year":2024,"lang":"en","type":"article","venue":"Global Challenges","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Climate change; Public health; Energy consumption; Environmental science; Heating degree day; Extreme weather; Consumption (sociology); Fossil fuel; Natural resource economics; Extreme Cold; Ecological footprint; Global warming; Greenhouse gas; Environmental protection; Environmental health; Geography; Agricultural economics; Climatology; Medicine; Ecology; Sustainability; Economics; Biology","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":[0.0003536153,0.0001835083,0.0001903673,0.00004675162,0.00009162982,0.00004897396,0.00007716435,0.0001023337,0.00006587034],"category_scores_gemma":[0.00002709577,0.0001339762,0.00001886911,0.0001701931,0.00005562646,0.0002060906,0.0001143465,0.0001238322,0.00001890486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003335841,"about_ca_system_score_gemma":0.00003429377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003198576,"about_ca_topic_score_gemma":0.00599011,"domain_scores_codex":[0.9986938,0.000084273,0.0001571014,0.0003865159,0.000157711,0.0005206519],"domain_scores_gemma":[0.9992547,0.00004760334,0.00002914452,0.0001394506,0.000002905429,0.0005261994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001244844,0.0004470958,0.06544539,0.001078621,0.00004043036,0.0001145003,0.02321277,0.000009466714,0.0003979155,0.01249155,0.0147161,0.8819216],"study_design_scores_gemma":[0.001211999,0.001619222,0.8476894,0.001271392,0.000005796198,0.0002114571,0.006071065,0.0004251991,0.0000447102,0.01658621,0.1241713,0.0006922745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637958,0.08291924,0.000001262517,0.04837999,0.000136064,0.000106167,0.00005143242,0.00005696301,0.004553135],"genre_scores_gemma":[0.9314873,0.06649837,0.000009234117,0.001872088,0.00006587124,0.000008233222,0.000009366458,0.0000101781,0.00003937519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8812294,"threshold_uncertainty_score":0.5463393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012216314295766,"score_gpt":0.3122179507104169,"score_spread":0.2109963192808402,"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."}}