{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003255364,0.000468408,0.000430484,0.0002106574,0.0002206758,0.0003335976,0.0002754981,0.0004211012,0.001239744],"category_scores_gemma":[0.0006289821,0.0002445726,0.0003413907,0.0004039416,0.0002906104,0.0003370158,0.0001572388,0.0005061342,0.0002049868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789846,"about_ca_system_score_gemma":0.0003639068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002487449,"about_ca_topic_score_gemma":0.003455726,"domain_scores_codex":[0.9996367,0.0000715821,0.00005850635,0.00006946463,0.0000790399,0.0000847246],"domain_scores_gemma":[0.9996432,0.000161992,0.00004518197,0.0000388175,0.00006255743,0.0000482713],"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":[0.00336925,0.0002467579,0.002240446,0.0001297906,0.00004514845,0.0001505197,0.00009255436,0.0004546865,0.9901002,0.00005063089,0.00006013777,0.003059851],"study_design_scores_gemma":[0.00001614738,0.0008279741,0.006865698,0.000007734812,0.00003277346,0.00005050137,0.00006974269,0.0006290326,0.9911492,0.00001357217,0.0003298387,0.000007725206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990012,0.0002243388,0.0002497487,0.00001874809,0.00001766223,0.000005772724,0.0001708412,0.000008492698,0.0003032092],"genre_scores_gemma":[0.9979752,0.0001806046,0.0005502689,0.00001871067,0.000006659041,0.000009410898,0.0003787498,0.000004953527,0.0008754514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002487449,"threshold_uncertainty_score":0.004945874,"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."}}