{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002241271,0.0001683391,0.0002560631,0.0004323779,0.000298835,0.0007763822,0.0002228847,0.0003709377,0.001226344],"category_scores_gemma":[0.0008506629,0.0001584113,0.0002254406,0.00109593,0.0003068554,0.0004216187,0.0004864304,0.0002846951,0.0003636877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009770859,"about_ca_system_score_gemma":0.0003019399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678608,"about_ca_topic_score_gemma":0.03039907,"domain_scores_codex":[0.9997628,0.00005848127,0.00002513689,0.00005869862,0.00004055177,0.00005428911],"domain_scores_gemma":[0.9995793,0.0001092781,0.000110067,0.00002560159,0.0001102565,0.00006553137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002110885,0.00004732881,0.9819926,0.00003924818,0.00007559588,0.0007475971,0.001046166,0.004407779,0.005792493,0.0002299138,0.0006686208,0.004741533],"study_design_scores_gemma":[0.000005225288,0.00004937783,0.9934034,0.000008106393,0.00001261418,0.0001745916,0.002555661,0.002729542,0.0002977018,0.0001228293,0.000621276,0.00001959966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980816,0.00003522662,0.0001008491,0.00006851226,0.00000219297,0.000004053613,0.0006192522,0.000004471021,0.001083891],"genre_scores_gemma":[0.9993486,0.00004606269,0.00003802095,0.00001179817,0.000002211681,0.000005167838,0.0004070367,0.000001488004,0.000139475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02678608,"threshold_uncertainty_score":0.05326033,"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."}}