{"id":"W1999282513","doi":"10.1016/j.biortech.2011.01.013","title":"Effect of enzyme additions on methane production and lignin degradation of landfilled sample of municipal solid waste","year":2011,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Leachate; Lignin; Bioreactor; Waste management; Municipal solid waste; Methane; Biodegradation; Degradation (telecommunications); Pulp and paper industry; Green waste; Chemistry; Biodegradable waste; Environmental science; Environmental chemistry; Organic chemistry; Compost","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002279592,0.000121075,0.0002797983,0.0001452735,0.00003866175,6.717663e-7,0.0001353895,0.0001108663,0.0001949965],"category_scores_gemma":[0.0003518628,0.00009153851,0.00003754855,0.0002455164,0.0008042836,0.00004327884,0.0002010615,0.00007822306,0.000008222114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003330358,"about_ca_system_score_gemma":0.00000163726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004853803,"about_ca_topic_score_gemma":0.00004458696,"domain_scores_codex":[0.9991996,0.00006911653,0.0002361929,0.0002005082,0.0001458344,0.0001486907],"domain_scores_gemma":[0.9993466,0.0001109345,0.000216902,0.0002936798,0.000004720606,0.00002717608],"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":[0.000311506,0.0003247079,0.1321915,0.00006437361,0.00008942388,0.000001309255,0.001368457,0.00008972949,0.8572944,0.00009946504,0.0003639669,0.007801118],"study_design_scores_gemma":[0.0003620611,0.001699589,0.00977632,0.00003441613,0.00005099814,0.000005159886,0.000229996,0.00004070779,0.98751,0.0001505971,0.00006237096,0.00007776469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99858,0.00006279209,0.000023294,0.00005675073,0.00002513211,0.0002729028,0.00005527463,0.00003206782,0.0008917627],"genre_scores_gemma":[0.9990321,0.00004478446,0.0008114127,0.00000485903,0.000006173534,0.00002672107,0.00001056919,0.00001001487,0.00005331195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302156,"threshold_uncertainty_score":0.3732832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487235263033772,"score_gpt":0.2404068470834587,"score_spread":0.225534494453121,"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."}}