{"id":"W1906678904","doi":"10.1002/9781118590331.ch1","title":"Microfiltration for casein and serum protein separation","year":2015,"lang":"en","type":"other","venue":"","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microfiltration; Casein; Ultrafiltration (renal); Membrane; Chromatography; Skimmed milk; Ceramic membrane; Fractionation; Permeation; Cross-flow filtration; Separation process; Chemistry; Materials science; Separation (statistics); Chemical engineering; Computer science; Food science; Engineering; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002680792,0.0005570605,0.000278653,0.0008962525,0.0003629886,0.0007245568,0.0003946791,0.0005236706,0.01215272],"category_scores_gemma":[0.000206453,0.0001737213,0.0004635312,0.0008192546,0.0001498533,0.0006068167,0.0004190772,0.0006053736,0.007769107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006483637,"about_ca_system_score_gemma":0.0004397689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009960975,"about_ca_topic_score_gemma":0.002001032,"domain_scores_codex":[0.9996457,0.00001876173,0.00001243527,0.00005882696,0.000235141,0.00002915191],"domain_scores_gemma":[0.9999357,0.00001450367,0.00001048343,0.000007170147,0.00002562748,0.000006462904],"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":[0.00006841517,0.0001544653,0.0005339311,0.0008900915,0.00002249364,0.0002585977,0.00009031715,0.0007765215,0.6804364,0.007498256,0.01434696,0.2949236],"study_design_scores_gemma":[0.00001057102,0.0001019911,0.002373485,0.00008939511,0.00002755388,0.001031652,0.00004114644,0.003345811,0.6247509,0.00089349,0.3673118,0.00002213512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1216844,0.09213137,0.4344272,0.001774892,0.001217597,0.001104298,0.003738243,0.00666781,0.3372543],"genre_scores_gemma":[0.3255549,0.06958759,0.2387613,0.0007433094,0.000275012,0.0004724913,0.00524706,0.0008619279,0.3584963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01215272,"threshold_uncertainty_score":0.04065496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862320548063242,"score_gpt":0.2768410431885814,"score_spread":0.258217837707949,"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."}}