{"id":"W7125093820","doi":"","title":"Development of a membrane process for the concentration of fava bean extract for plant-based dairy applications","year":2024,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ultrafiltration (renal); Membrane; Ingredient; Dairy industry; Membrane technology; Mixing (physics); Food products","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004432873,0.0004663866,0.0004428677,0.0004240774,0.0003606354,0.0004105176,0.0003615797,0.0009014296,0.001030824],"category_scores_gemma":[0.0003535705,0.0002054378,0.0007012716,0.0003354699,0.0002249382,0.0006619797,0.0003746486,0.001035681,0.0008799701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129087,"about_ca_system_score_gemma":0.0005948566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419973,"about_ca_topic_score_gemma":0.00148929,"domain_scores_codex":[0.9997407,0.00003132537,0.00002308506,0.00007402367,0.00008510392,0.00004578451],"domain_scores_gemma":[0.9998916,0.00001664967,0.00002735729,0.00001086044,0.00003596545,0.00001740237],"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":[0.00002083805,0.00002735771,0.00007425414,0.0001145407,0.000006279594,0.00003770262,0.00001756873,0.00007054176,0.996443,0.00008973524,0.00005924336,0.003038964],"study_design_scores_gemma":[0.000007639188,0.0001382947,0.0009003938,0.00002013841,0.0000175841,0.0001609998,0.00001971939,0.001065042,0.9933804,0.00003971787,0.004239218,0.00001081137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6368573,0.01799985,0.3313455,0.001180313,0.0004574309,0.00126698,0.00142486,0.001372586,0.00809523],"genre_scores_gemma":[0.7974535,0.008093185,0.1864457,0.0004092416,0.00004657794,0.0005691943,0.001094451,0.0001397061,0.005748453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001419973,"threshold_uncertainty_score":0.004447043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782638745970207,"score_gpt":0.2433104562777565,"score_spread":0.2154840688180545,"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."}}