{"id":"W4235805587","doi":"10.32920/ryerson.14662983","title":"Substrate Type And Pretreatment Type Effects On VFA Production","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chemistry; Substrate (aquarium); Fatty acid; Anaerobic digestion; Food science; Digestion (alchemy); Food waste; Volatile fatty acids; Anaerobic exercise; Biochemistry; Fermentation; Chromatography; Organic chemistry; Rumen; Waste management; Methane; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005107604,0.0008532083,0.000838535,0.0003940678,0.0002395961,0.0008572437,0.0002490591,0.0005518211,0.00275504],"category_scores_gemma":[0.00102655,0.000394858,0.0005830714,0.0008203651,0.000213919,0.0004231306,0.0003019454,0.0005217166,0.0007208755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324832,"about_ca_system_score_gemma":0.0003496174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009722331,"about_ca_topic_score_gemma":0.001350799,"domain_scores_codex":[0.9993767,0.0001614769,0.0001020398,0.0001370187,0.0001320426,0.00009066458],"domain_scores_gemma":[0.9992058,0.0003694978,0.0001350283,0.00007682612,0.0001537262,0.00005902429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001324331,0.0001124107,0.001716452,0.0002145958,0.00002474747,0.0001405149,0.00002389816,0.0002327532,0.9922551,0.00001494545,0.00002945655,0.003910861],"study_design_scores_gemma":[0.00001826488,0.001387712,0.0240092,0.0000171147,0.00005855441,0.0001782889,0.00006669825,0.000324469,0.9728336,0.00002301542,0.001065785,0.00001739367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935236,0.002400844,0.001232382,0.00003740605,0.00006470186,0.00008457735,0.0009684878,0.00004305213,0.001645003],"genre_scores_gemma":[0.9884912,0.002164713,0.004743149,0.00009330113,0.00001922281,0.0000915847,0.001424355,0.00007417335,0.002898298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00275504,"threshold_uncertainty_score":0.009216547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229000673465122,"score_gpt":0.2160748470728782,"score_spread":0.203784840338227,"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."}}