{"id":"W4416025685","doi":"10.1016/j.cles.2025.100215","title":"Optimizing electricity production from food waste: A case study of Bangladesh","year":2025,"lang":"en","type":"article","venue":"Cleaner Energy Systems","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Biogas; Cost of electricity by source; Anaerobic digestion; Electricity generation; Electricity; Greenhouse gas; Sustainability; Renewable energy; Biofuel","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":[0.0003441929,0.00106251,0.0004857532,0.0005614536,0.0006789904,0.0009735205,0.0006877545,0.001079307,0.003113774],"category_scores_gemma":[0.000717365,0.0003756488,0.0006776755,0.0008788388,0.0004000081,0.0005873758,0.0004301713,0.0005137909,0.0003301524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002430776,"about_ca_system_score_gemma":0.0008802598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04011747,"about_ca_topic_score_gemma":0.05663204,"domain_scores_codex":[0.9998077,0.00006373377,0.00001032746,0.00003075138,0.00004095219,0.00004656401],"domain_scores_gemma":[0.9996021,0.0002439132,0.00002918619,0.00001939266,0.00006892036,0.00003646424],"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":[0.0005252616,0.0005497783,0.01528401,0.0004674526,0.0001076375,0.003142688,0.0002079141,0.9489671,0.01009864,0.001619603,0.001412882,0.01761704],"study_design_scores_gemma":[0.0004140479,0.002766167,0.03399085,0.0000878015,0.0002129008,0.0006542309,0.003207834,0.9267499,0.02174872,0.001746837,0.008288328,0.000132393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877158,0.0001090468,0.002126104,0.000140984,0.000007071171,0.0001303388,0.0007178684,0.00005662466,0.00899622],"genre_scores_gemma":[0.9951791,0.0001423695,0.001693712,0.00001255297,0.000001615527,0.00004317172,0.0002649061,0.00001698797,0.002645528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04011747,"threshold_uncertainty_score":0.07976794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112631847042627,"score_gpt":0.2055061216963937,"score_spread":0.1943798032259675,"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."}}