{"id":"W2970549273","doi":"10.3390/pr7090576","title":"Effect of Hydrothermal Pretreatment on Volatile Fatty Acids Production from Source-Separated Organics","year":2019,"lang":"en","type":"article","venue":"Processes","topic":"Process Optimization and Integration","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Greenfield Research (Canada); Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Water Consortium","keywords":"Chemistry; Hydrothermal circulation; Mineralization (soil science); Yield (engineering); Raw material; Chemical oxygen demand; Solubilization; Food science; Environmental chemistry; Nitrogen; Biochemistry; Organic chemistry; Waste management; Chemical engineering","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":[0.0001273952,0.0003558275,0.0003021139,0.0001207496,0.0001205154,0.0002481364,0.000144128,0.0001778516,0.0006726389],"category_scores_gemma":[0.0002734522,0.0001340672,0.0002904783,0.0001720829,0.0001703551,0.0002070811,0.0001468186,0.0003172196,0.0001304063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995924,"about_ca_system_score_gemma":0.0002897951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451764,"about_ca_topic_score_gemma":0.002706624,"domain_scores_codex":[0.9998666,0.00002076916,0.00001330249,0.00002702343,0.00003945739,0.00003283446],"domain_scores_gemma":[0.9999032,0.00002594331,0.0000286359,0.000007089045,0.00002111342,0.00001404939],"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":[0.0001167622,0.00001916457,0.000176437,0.00005084474,0.000007549422,0.00004386264,0.00001060048,0.0001302629,0.9982899,0.00001220617,0.00001165588,0.001130783],"study_design_scores_gemma":[0.000004919888,0.0001875063,0.002217945,0.000003053042,0.00001060629,0.00002970954,0.00001873528,0.0004051867,0.9967812,0.000007539048,0.0003290167,0.000004586049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974424,0.0006897957,0.001046038,0.00003053018,0.00002604657,0.00001668555,0.0001511851,0.00002165205,0.000575704],"genre_scores_gemma":[0.9975291,0.0005327894,0.001355824,0.0000135973,0.000008978813,0.000009624155,0.0001324949,0.00001007195,0.0004074677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001451764,"threshold_uncertainty_score":0.002886653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003758892112451967,"score_gpt":0.2054823757800842,"score_spread":0.2017234836676322,"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."}}