{"id":"W2980109371","doi":"10.1021/acs.est.9b04644","title":"Solid-State Anaerobic Digestion of Mixed Organic Waste: The Synergistic Effect of Food Waste Addition on the Destruction of Paper and Cardboard","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"cardboard; Anaerobic digestion; Food waste; Waste management; Biodegradable waste; Municipal solid waste; Digestion (alchemy); Waste treatment; Mechanical biological treatment; Environmental science; Chemistry; Food science; Pulp and paper industry; Engineering; Waste collection; Methane; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002871043,0.000104241,0.0001431318,0.0001536738,0.00007257726,0.000004882955,0.0001787458,0.00006608506,0.00004412547],"category_scores_gemma":[0.00004070717,0.00006401213,0.00002781321,0.0004164032,0.001042937,0.0001132589,0.00005930483,0.0001198681,0.000006865982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000795562,"about_ca_system_score_gemma":0.000006741495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003836469,"about_ca_topic_score_gemma":0.000003778491,"domain_scores_codex":[0.9992648,0.00003305718,0.0001831834,0.0001799022,0.0001978007,0.000141271],"domain_scores_gemma":[0.9995579,0.00004445509,0.000100326,0.0002723419,0.000007393525,0.00001762365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001206364,0.00001282704,0.0009995186,0.00001174391,0.00001048363,9.59297e-8,0.00004568707,0.003946197,0.9884233,0.002073522,0.000009169639,0.004455431],"study_design_scores_gemma":[0.0001534407,0.0007230915,0.006870062,0.00003482087,0.00001830946,0.000007476241,0.000461084,0.0003632375,0.9910188,0.0002409781,0.00004642148,0.00006222035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990971,0.00006787471,0.0001316911,0.0001217997,0.0002187877,0.0002656757,0.00001090357,0.00003575302,0.00005040262],"genre_scores_gemma":[0.9998026,0.0001152912,0.00002944687,0.000004024406,0.000009943691,0.00001015171,0.000003996187,0.000008154462,0.00001642727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005870544,"threshold_uncertainty_score":0.3842744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002435446476067003,"score_gpt":0.1727096211351425,"score_spread":0.1702741746590755,"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."}}