{"id":"W4415230840","doi":"10.3390/earth6040127","title":"Shifting Electricity Demand Under Temperature Extremes in Bangladesh","year":2025,"lang":"en","type":"article","venue":"Earth","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electricity; Electricity demand; Climate change; Mains electricity; Electricity generation; Cold climate","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001627815,0.00009079269,0.00008382278,0.00003913476,0.00009000877,0.00002287297,0.0001022823,0.00007437902,0.001392386],"category_scores_gemma":[0.00003349105,0.0000804595,0.0000239485,0.0003296247,0.00004943874,0.0001355724,0.00006913591,0.0001610217,0.0001336823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006517718,"about_ca_system_score_gemma":0.000008490523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001266851,"about_ca_topic_score_gemma":0.0008136567,"domain_scores_codex":[0.9992911,0.00004809511,0.0001020197,0.0001932982,0.0001191245,0.0002463299],"domain_scores_gemma":[0.9997501,0.00003819317,0.00001887908,0.0001369967,5.967757e-7,0.00005521382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004015796,0.0002112916,0.7265842,0.00001393864,0.00002115308,0.00003848286,0.000501757,0.152446,0.1018208,0.002301182,0.006163687,0.009857366],"study_design_scores_gemma":[0.0002709166,0.00001632715,0.9762654,0.0000159207,0.000003814648,0.000001603286,0.00003380191,0.0001938729,0.01288117,0.001298764,0.00890502,0.0001133652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620494,0.0001471893,0.0002143995,0.0006990797,0.00004785474,0.00005735692,5.670681e-7,0.0000257177,0.03675849],"genre_scores_gemma":[0.9915187,0.00003819508,0.0002927815,0.001328946,0.00001581244,0.000003557352,0.000003119881,0.000004962039,0.006793958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2496812,"threshold_uncertainty_score":0.9995205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006177573315217656,"score_gpt":0.2081625420135966,"score_spread":0.2019849686983789,"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."}}