{"id":"W2042093395","doi":"10.1016/j.biortech.2012.11.053","title":"Effects of ultrasonic and thermo-chemical pre-treatments on methane production from fat, oil and grease (FOG) and synthetic kitchen waste (KW) in anaerobic co-digestion","year":2012,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Anaerobic digestion; Methane; Biogas; Chemistry; Pulp and paper industry; Digestion (alchemy); Chemical oxygen demand; Waste management; Grease; Sewage treatment; Environmental science; Environmental engineering; Chromatography; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009075122,0.000188361,0.0002271442,0.0002642789,0.00002525544,0.000006775489,0.00005279174,0.000262141,0.000003428785],"category_scores_gemma":[0.0001267707,0.0001671149,0.0000167748,0.0001933755,0.0002184219,0.00007470493,0.00002754986,0.0001667516,0.000002757195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000584373,"about_ca_system_score_gemma":0.000003695812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005790128,"about_ca_topic_score_gemma":0.000005000426,"domain_scores_codex":[0.9991873,0.00003914561,0.0001719072,0.0002917935,0.00008122222,0.0002286161],"domain_scores_gemma":[0.999621,0.00005604173,0.00005430881,0.0001862481,0.00001274516,0.0000696507],"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":[0.00008392746,0.0001644046,0.01833103,0.0000852521,0.00006185657,0.000003124682,0.000381877,0.00002435195,0.8986244,0.0004801982,0.0000232082,0.08173639],"study_design_scores_gemma":[0.0008302269,0.0001820902,0.04510884,0.0002029702,0.00009987818,0.00004799121,0.0001702852,0.00008940791,0.9525808,0.0001563967,0.0003152123,0.0002159001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996405,0.002805602,0.00001597691,0.0002383203,0.00008857068,0.0001811837,0.000005342856,0.0002183219,0.00004168469],"genre_scores_gemma":[0.9988207,0.0007244606,0.0002697113,0.000005977664,0.00006214431,0.0000408472,0.0000133375,0.00002187167,0.00004094786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08152049,"threshold_uncertainty_score":0.6814749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004806969739013753,"score_gpt":0.2036145300730991,"score_spread":0.1988075603340853,"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."}}