{"id":"W2519743892","doi":"10.3168/jds.2016-11504","title":"Effect of transmembrane pressure control on energy efficiency during skim milk concentration by ultrafiltration at 10 and 50°C","year":2016,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Centers for Disease Control and Prevention; Novalait; Canadian Dairy Commission","keywords":"Ultrafiltration (renal); Permeation; Skimmed milk; Chemistry; Chromatography; Fouling; Membrane; Analytical Chemistry (journal); Membrane fouling; Materials science; Biochemistry; Food 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":[0.0009677276,0.0001304578,0.0002194969,0.00007740004,0.0001841799,0.00002752057,0.000380075,0.00006566939,0.0003356228],"category_scores_gemma":[0.0003219302,0.00007817093,0.00005077938,0.0002739282,0.0009590287,0.0008082632,0.00002883634,0.00007435997,0.000009587368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022659,"about_ca_system_score_gemma":0.00002841881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000081809,"about_ca_topic_score_gemma":0.000004157174,"domain_scores_codex":[0.9982243,0.0001073464,0.0004084072,0.0002478006,0.0007831084,0.0002290806],"domain_scores_gemma":[0.9989867,0.0002694958,0.0004267577,0.0001807682,0.00003236126,0.0001039635],"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":[0.000308323,0.00003453427,0.003113179,0.00001450629,0.000005277741,0.000001816171,0.00008584953,0.001065317,0.9901835,0.00003891566,0.0002422213,0.004906618],"study_design_scores_gemma":[0.001727211,0.001334167,0.00896101,0.00005363801,0.00002170259,0.00004433455,0.000009665161,0.000494346,0.9865391,0.00002406021,0.0006949186,0.00009579773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966012,0.0001788912,0.00184499,0.0003772285,0.0001051678,0.0001335828,0.00001063107,0.000017563,0.0007307975],"genre_scores_gemma":[0.9993418,0.0001008944,0.00005977945,0.00003042489,0.00001689927,0.000002578154,3.247468e-7,0.000004713635,0.0004425296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005847831,"threshold_uncertainty_score":0.3674834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003501358288454777,"score_gpt":0.2130565766357072,"score_spread":0.2095552183472525,"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."}}