{"id":"W3001838326","doi":"10.1002/fsn3.1399","title":"Extraction of protein and carbohydrates from soybean meal using acidic and alkaline solutions produced by electro‐activation","year":2020,"lang":"en","type":"article","venue":"Food Science & Nutrition","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université Laval","funders":"","keywords":"Chemistry; Raffinose; Stachyose; Extraction (chemistry); Soybean meal; Chromatography; Monosaccharide; Carbohydrate; Food science; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001224883,0.0004041949,0.0001906357,0.000180924,0.00008654214,0.0002151475,0.0001258423,0.0002356585,0.0003691285],"category_scores_gemma":[0.0001122321,0.0001263919,0.0001992443,0.0001683032,0.0001237887,0.0002487169,0.0001611851,0.0003307888,0.0001268428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131523,"about_ca_system_score_gemma":0.0001277038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004555276,"about_ca_topic_score_gemma":0.0009722428,"domain_scores_codex":[0.9999255,0.00001158072,0.000007384812,0.00001842298,0.00002465076,0.00001242901],"domain_scores_gemma":[0.9999515,0.000008926188,0.0000166684,0.000002099728,0.00001307946,0.000007740134],"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":[0.00001837002,0.00000265302,0.0000545661,0.000031546,0.000001769968,0.000009427164,0.000002640934,0.00001009587,0.9994408,0.000005127519,0.000003459194,0.0004194691],"study_design_scores_gemma":[0.00000552134,0.00009498247,0.002510617,0.0000058589,0.00001064602,0.00008911509,0.00001806003,0.0003672618,0.9960328,0.00001192745,0.0008496884,0.000003446646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865224,0.002244187,0.009987128,0.00007425874,0.00002581343,0.00004628832,0.0001508627,0.0000331015,0.0009161046],"genre_scores_gemma":[0.983883,0.001717568,0.01195196,0.00009777094,0.00001143736,0.00005209688,0.0003248633,0.00002527181,0.001936018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004555276,"threshold_uncertainty_score":0.001234889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533654219248469,"score_gpt":0.2918941382937125,"score_spread":0.2565575961012277,"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."}}