{"id":"W3158770826","doi":"10.1002/ese3.896","title":"Energy and exergy assessment with updated Reistad estimates: A case study in the transportation sector of Bangladesh","year":2021,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Exergy efficiency; Environmental science; Efficient energy use; Sustainability; Environmental economics; Environmental engineering; Process engineering; Engineering; Economics; Ecology","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":[0.0002479722,0.0001985821,0.0002162845,0.0002149246,0.0001177567,0.00005568261,0.0001800929,0.00004064233,0.00003561182],"category_scores_gemma":[0.000008378423,0.0001551946,0.00002986711,0.00101261,0.0001581295,0.0003051387,0.000009738597,0.00008122331,1.027353e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005408602,"about_ca_system_score_gemma":0.0001007285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01342824,"about_ca_topic_score_gemma":0.03079595,"domain_scores_codex":[0.9985096,0.00003631981,0.0003290965,0.0003795934,0.000440388,0.0003049434],"domain_scores_gemma":[0.9993933,0.00007639216,0.00008286994,0.0003144906,0.00005169496,0.00008117912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000008998464,0.0002053744,0.008565226,0.000006449639,0.00003260806,0.001488025,0.004104155,0.565002,0.01777983,0.4024589,0.000002153278,0.0003462747],"study_design_scores_gemma":[0.005678799,0.001110178,0.6886867,0.000240879,0.0003314572,0.001268264,0.05230832,0.07296213,0.1488782,0.0005753142,0.02609762,0.001862117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894114,0.0001528697,0.009752385,0.00003935113,0.00005970216,0.00004640886,0.000006882377,0.00004261499,0.0004884159],"genre_scores_gemma":[0.9979255,0.00004756471,0.001773075,0.00006348683,0.00002033871,0.00005833411,0.00003754632,0.00002278364,0.00005132673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6801215,"threshold_uncertainty_score":0.9931414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009014462111724564,"score_gpt":0.2315341264576056,"score_spread":0.222519664345881,"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."}}