{"id":"W4385399955","doi":"10.1016/j.ces.2023.119134","title":"One step purification of active nisin by electrodialysis from a commercial product","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Electrodialysis; Nisin; Centrifugation; Chemistry; Chromatography; Effluent; Extraction (chemistry); Demineralization; Pulp and paper industry; Antimicrobial; Biotechnology; Food science; Membrane; Biochemistry; Waste management; Biology; Engineering; Materials science","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":[0.0002308721,0.0001196924,0.000189288,0.0002041968,0.00003078426,0.00002751923,0.0003589947,0.00005371874,0.00002378164],"category_scores_gemma":[0.0002468262,0.000141327,0.0000384542,0.001698689,0.0001046821,0.0002180519,0.00003142306,0.000157844,0.00002661426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178837,"about_ca_system_score_gemma":0.00003411567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001570648,"about_ca_topic_score_gemma":2.731996e-7,"domain_scores_codex":[0.9988402,0.000005929184,0.0002401781,0.0002764201,0.0003723135,0.0002649947],"domain_scores_gemma":[0.9994081,0.00007241091,0.00003673494,0.0003162729,0.00007927431,0.00008723881],"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":[0.00000395314,0.0000133809,0.000005445866,0.00002126388,0.000008702197,1.358793e-7,0.0000912277,0.004541709,0.9884302,0.00006664248,0.001318548,0.005498781],"study_design_scores_gemma":[0.00007605119,0.000007088429,0.0004123267,0.00001511354,0.000007742562,1.865522e-7,0.00000401687,0.07824888,0.9205791,0.00002697213,0.0004923689,0.0001301534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969969,0.00006236585,0.02834651,0.0001015659,0.00009429709,0.0001649072,0.00004040862,0.001010332,0.0002106091],"genre_scores_gemma":[0.9938455,0.00002203538,0.005898216,0.000009563763,0.0000643036,0.00004437462,0.00008014095,0.00002090629,0.00001492656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07370717,"threshold_uncertainty_score":0.5763148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219287893960518,"score_gpt":0.2363694638135509,"score_spread":0.2241765848739457,"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."}}