{"id":"W2883113144","doi":"10.3390/foods7070110","title":"Multistep Optimization of β-Glucosidase Extraction from Germinated Soybeans (Glycine max L. Merril) and Recovery of Isoflavone Aglycones","year":2018,"lang":"en","type":"article","venue":"Foods","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundação Araucária; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Glycine; Germination; Extraction (chemistry); Isoflavones; Chemistry; Botany; Food science; Biology; Chromatography; Biochemistry; Amino acid","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":[0.000177193,0.0001073112,0.0003039504,0.0001323665,0.00004494339,0.000006119824,0.00004425798,0.0001107613,0.0002383223],"category_scores_gemma":[0.0001543239,0.00008629877,0.00005472,0.000185184,0.0002019623,0.0001053684,0.00003425288,0.0001076219,0.000004963493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000226062,"about_ca_system_score_gemma":0.00004907935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004496425,"about_ca_topic_score_gemma":0.00002757458,"domain_scores_codex":[0.9991067,0.00006292637,0.0002680869,0.0001998531,0.0002099729,0.0001524798],"domain_scores_gemma":[0.9991923,0.0001236815,0.0001425654,0.0002202422,0.0002282853,0.00009294591],"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":[0.001867368,0.0004734604,0.003665334,0.0002824397,0.0002167663,0.00002853417,0.0002812136,0.0001504447,0.9631171,0.00002032666,0.0003373164,0.02955974],"study_design_scores_gemma":[0.003020867,0.003651255,0.04630961,0.0003813658,0.0001912549,0.00004252966,0.0001309094,0.03265412,0.9130822,0.00008409593,0.000310334,0.0001413945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916707,0.000549678,0.006202548,0.0001528118,0.0001689912,0.0003234317,0.00006146915,0.0000231223,0.0008472037],"genre_scores_gemma":[0.9927751,0.0001883803,0.006383113,0.00002283284,0.0001912825,0.000007339132,0.00008528087,0.00001940618,0.0003272243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05003479,"threshold_uncertainty_score":0.3519162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749076298920362,"score_gpt":0.316530745601323,"score_spread":0.2990399826121194,"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."}}