{"id":"W3130413094","doi":"10.1002/cjce.24084","title":"Extraction and concentration of glutathione from yeast by membranes","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lallemand (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Lallemand","keywords":"Ultrafiltration (renal); Glutathione; Membrane; Nanofiltration; Chemistry; Extraction (chemistry); Chromatography; Yeast; Permeation; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00007302544,0.0000413356,0.00007490901,0.00001014832,0.00001991961,0.00001528061,0.00007498148,0.0000403031,0.0002302036],"category_scores_gemma":[0.0001470034,0.00003391115,0.00001743728,0.0000735397,0.00006726293,0.00009758009,0.000008503884,0.0001143165,0.000002259545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006372512,"about_ca_system_score_gemma":0.00004224204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008780145,"about_ca_topic_score_gemma":0.0001831706,"domain_scores_codex":[0.9996353,0.000007253696,0.0001414856,0.00004642658,0.00009586485,0.0000736392],"domain_scores_gemma":[0.9997423,0.00003817284,0.00006437889,0.00005920903,0.00001273089,0.00008321246],"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":[0.000001752166,0.000001869123,0.0001641358,0.000003252611,0.000006299276,0.000005364615,0.0001033993,0.002318566,0.9964271,0.00004640579,0.0002066515,0.0007151766],"study_design_scores_gemma":[0.00009498782,0.000004961154,0.0004857559,0.00001434327,0.000008781879,0.00004912095,0.00002974984,0.001981195,0.9958622,0.000116673,0.001315071,0.00003715612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998243,0.0005134925,0.0004249033,0.0005946176,0.000057257,0.00001784445,0.000006412842,0.000004417375,0.0001380832],"genre_scores_gemma":[0.999342,0.00001495274,0.0005807455,0.00002290689,0.00001951701,3.286128e-7,0.000002390982,0.000003516426,0.00001364105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001108419,"threshold_uncertainty_score":0.2520568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006052138991405921,"score_gpt":0.1870692953667342,"score_spread":0.1810171563753283,"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."}}