{"id":"W4412738997","doi":"10.1016/j.clwas.2025.100378","title":"Forecasting organic waste and biomethane generation potential of a non industrial district of Eastern India: A data-driven approach to sustainable energy and waste management","year":2025,"lang":"en","type":"article","venue":"Cleaner Waste Systems","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Royal Academy of Engineering","keywords":"Biogas; Waste management; Waste-to-energy; Sustainable energy; Environmental science; Renewable energy; Engineering; Municipal solid waste","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":[0.0002055797,0.0004367561,0.0002284825,0.0008025802,0.0002233846,0.0009039777,0.000602747,0.000457054,0.0004807475],"category_scores_gemma":[0.0005429654,0.0002533346,0.0005445736,0.001148957,0.000194225,0.000499149,0.0004252262,0.0004411682,0.0001942733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029808,"about_ca_system_score_gemma":0.0007584474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0769171,"about_ca_topic_score_gemma":0.08044282,"domain_scores_codex":[0.9998752,0.00002425844,0.00001100993,0.00003401657,0.00001951616,0.00003601861],"domain_scores_gemma":[0.9996696,0.0001165993,0.00005317301,0.00002522267,0.00009353449,0.00004190868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002146973,0.0002882385,0.5536842,0.0002089707,0.000175241,0.001154608,0.0004899869,0.4066556,0.004226721,0.000954363,0.00250906,0.02943824],"study_design_scores_gemma":[0.00001317105,0.00007489547,0.1840651,0.00002225496,0.0000672709,0.00009795805,0.001391729,0.8106006,0.001789533,0.0004285137,0.001413201,0.00003571648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944069,0.00008462825,0.002566845,0.0001762308,0.00001038781,0.00001865825,0.001660874,0.000115498,0.0009599844],"genre_scores_gemma":[0.9962068,0.00007988302,0.001703806,0.00001171382,0.000005212471,0.00001465569,0.001599655,0.000005755204,0.000372519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0769171,"threshold_uncertainty_score":0.1529388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645672406337449,"score_gpt":0.2160839051760945,"score_spread":0.18962718111272,"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."}}