{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004951497,0.0001354994,0.0001538753,0.00005096274,0.00002165272,0.00002094217,0.00007119638,0.00006420576,0.000305809],"category_scores_gemma":[0.0001047896,0.0001069383,0.0000194908,0.0002571764,0.000009866036,0.0002037958,0.000006380922,0.00006854961,0.0001328897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004173901,"about_ca_system_score_gemma":0.00002503456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009123463,"about_ca_topic_score_gemma":0.000004427314,"domain_scores_codex":[0.999456,0.00001709025,0.0001467892,0.0001566938,0.0001277637,0.00009560752],"domain_scores_gemma":[0.9996597,0.00004354004,0.00004637945,0.0001352232,0.00009112461,0.00002403697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004146546,0.0001792333,0.02648145,0.003053593,0.0001918083,4.742479e-7,0.00196228,0.8903118,0.05401198,0.00001765971,0.0008133005,0.02256173],"study_design_scores_gemma":[0.0003087821,0.0003880657,0.0001916852,0.00008770003,0.00002198984,4.983077e-7,0.00001239834,0.1276187,0.8702161,0.00001577285,0.001028881,0.0001094669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991037,0.0005634925,0.005020212,0.00001476943,0.0002450192,0.0003779622,0.000009451118,0.0002868767,0.00244522],"genre_scores_gemma":[0.9991149,0.00009245554,0.0001780515,0.000009665718,0.00004388733,0.00003559703,0.00007057399,0.00002984063,0.0004249808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8162041,"threshold_uncertainty_score":0.4360819,"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."}}