{"id":"W2347945396","doi":"","title":"Enrichment of GABA in wastewater of tofu by lactic acid bacteria","year":2013,"lang":"en","type":"article","venue":"Food Science and Technology International","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Fermentation; Lactic acid; Bacteria; Food science; Chemistry; Wastewater; Yield (engineering); Lactobacillus; Strain (injury); Chromatography; Biochemistry; Biology; Waste management; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873093,0.00004396319,0.00007720161,0.00009296532,0.00003483538,0.00001716083,0.0003590659,0.00005324126,0.0003110384],"category_scores_gemma":[0.00006932182,0.00001698204,0.00001117105,0.0005173892,0.0004162615,0.000167413,0.0001436708,0.00006604176,0.000007707848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727603,"about_ca_system_score_gemma":0.00001374329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007679431,"about_ca_topic_score_gemma":0.00004201177,"domain_scores_codex":[0.9993036,0.000007649894,0.0001329652,0.0001500523,0.0002556436,0.0001501062],"domain_scores_gemma":[0.9996899,0.00002211731,0.00004901931,0.00003340043,0.0001786489,0.00002690316],"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":[0.000002687286,0.0000467584,0.02173237,0.00000170081,0.00000327932,2.34129e-7,0.00002399382,1.891938e-8,0.9628691,0.0006257287,0.0001265145,0.01456762],"study_design_scores_gemma":[0.0001250487,0.0004671011,0.2263005,0.00001354554,0.000001009231,0.000007305639,0.0005395599,0.00004574706,0.7702571,0.001419351,0.0007674449,0.00005622431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939001,0.00008027132,3.450305e-7,0.005288623,0.00006722645,0.00007640345,0.00001357225,0.00000800341,0.0005654688],"genre_scores_gemma":[0.9997986,0.00002362544,0.00005611535,0.00001552558,0.00001048611,0.00001284339,0.000003155101,2.03541e-7,0.0000794636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2045682,"threshold_uncertainty_score":0.3405652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146432492987153,"score_gpt":0.236964979791889,"score_spread":0.2255006548620175,"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."}}