{"id":"W3088180463","doi":"10.3390/membranes10100257","title":"Bovine Hemoglobin Enzymatic Hydrolysis by a New Ecoefficient Process—Part I: Feasibility of Electrodialysis with Bipolar Membrane and Production of Neokyotorphin (α137-141)","year":2020,"lang":"en","type":"article","venue":"Membranes","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Région Hauts-de-France; Agence Nationale de la Recherche; Université Laval","keywords":"Hydrolysate; Electrodialysis; Chemistry; Enzymatic hydrolysis; Hydrolysis; Chromatography; Membrane; Membrane fouling; Salt (chemistry); Ultrafiltration (renal); Fouling; Biochemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001739492,0.0004150957,0.0001506914,0.0001578605,0.00009648835,0.0002827109,0.0002365761,0.0004459486,0.0003056279],"category_scores_gemma":[0.0001236382,0.0001456442,0.000207121,0.0001645017,0.0001764956,0.0002716429,0.0002426973,0.0003737153,0.0001869269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286527,"about_ca_system_score_gemma":0.0001564065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004158181,"about_ca_topic_score_gemma":0.0003644599,"domain_scores_codex":[0.9998589,0.00001554577,0.00001075773,0.00004247847,0.00005444215,0.00001788717],"domain_scores_gemma":[0.9999465,0.000006627005,0.00002387357,0.000005264155,0.000008772768,0.00000891937],"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":[0.000006737379,0.000004637609,0.00002422972,0.00001232598,8.475979e-7,0.00001088284,0.000003516028,0.00001403288,0.999314,0.00003235617,0.000007612306,0.0005687875],"study_design_scores_gemma":[0.000005213414,0.00006964144,0.0006687434,0.000002376823,0.000005093893,0.0001419346,0.000005649757,0.0004740801,0.997311,0.00001801332,0.001294842,0.000003396706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931263,0.002902483,0.06340899,0.0001887382,0.00005009065,0.00008624297,0.0002086629,0.0001540914,0.001737728],"genre_scores_gemma":[0.9499462,0.002067595,0.04506312,0.00008671342,0.00001596754,0.00006424745,0.0003500139,0.00003434372,0.002371814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004459486,"threshold_uncertainty_score":0.001659036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057562328324772,"score_gpt":0.2244751412592482,"score_spread":0.2138995179760005,"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."}}