{"id":"W2888790344","doi":"10.3390/foods7090144","title":"Effect of Ultrafiltration of Milk Prior to Fermentation on Mass Balance and Process Efficiency in Greek-Style Yogurt Manufacture","year":2018,"lang":"en","type":"article","venue":"Foods","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"Ministère de l'Agriculture et de l'Alimentation; Fonds Québécois de la Recherche sur la Nature et les Technologies; Novalait; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","keywords":"Ultrafiltration (renal); Chemistry; Food science; Fermentation; Permeation; Skimmed milk; Lactic acid; Chromatography; Membrane; Biochemistry; Bacteria; Biology","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":[0.0007133465,0.0006342457,0.0007076734,0.0003033951,0.000238075,0.0009498047,0.0003042638,0.0005499657,0.0006430908],"category_scores_gemma":[0.001531434,0.0001855889,0.0005096595,0.0004642672,0.0002001596,0.000831869,0.0004287981,0.0006986437,0.0002018411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006577261,"about_ca_system_score_gemma":0.0003555708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003224574,"about_ca_topic_score_gemma":0.002185414,"domain_scores_codex":[0.9995551,0.00007652225,0.00005010036,0.00008092535,0.0001025024,0.0001349539],"domain_scores_gemma":[0.9996372,0.0001316291,0.00009216099,0.0000224721,0.00006490114,0.00005154787],"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":[0.0008958714,0.0001511107,0.000870631,0.0001244212,0.00002716176,0.00006617372,0.00008909294,0.0004841452,0.9912873,0.00004528162,0.00003118129,0.005927691],"study_design_scores_gemma":[0.00001668662,0.0007003563,0.008042754,0.00002264648,0.0000367405,0.00004260485,0.00007710631,0.001481974,0.9889824,0.00001353602,0.0005696475,0.00001347443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99804,0.0008147399,0.0007202456,0.0000308265,0.00001306016,0.00001679099,0.00007835102,0.00002395277,0.0002619536],"genre_scores_gemma":[0.9964161,0.0008898698,0.001986842,0.00002861152,0.000006134897,0.00002121759,0.0001720198,0.00003079132,0.0004484432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003224574,"threshold_uncertainty_score":0.006411612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006352224393541717,"score_gpt":0.2722050071783245,"score_spread":0.2658527827847827,"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."}}