{"id":"W4324056832","doi":"10.3390/membranes13030329","title":"Experimental Study and Modeling of Beer Dealcoholization via Reverse Osmosis","year":2023,"lang":"en","type":"article","venue":"Membranes","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; European Commission","keywords":"Factorial experiment; Chemistry; Viscosity; Turbidity; Reverse osmosis; Flux (metallurgy); Chromatography; Analytical Chemistry (journal); Volumetric flow rate; Bar (unit); Response surface methodology; Linear regression; Permeation; Membrane; Materials science; Thermodynamics; Mathematics; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000910914,0.00004624386,0.00008417234,0.0000155396,0.00008522789,0.00001231434,0.0000383352,0.00001814319,0.0001846055],"category_scores_gemma":[0.000007467709,0.00001917701,0.00002778188,0.0002783901,0.00001284302,0.00005922283,0.00001980633,0.00001478919,0.00001170112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003189516,"about_ca_system_score_gemma":6.04519e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002643891,"about_ca_topic_score_gemma":0.00008129888,"domain_scores_codex":[0.9995661,0.00004195545,0.0001110255,0.0001126284,0.0001045229,0.00006381087],"domain_scores_gemma":[0.9998838,0.00002519598,0.00002506366,0.00002019227,0.00002142245,0.00002428369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002390409,0.0001794886,0.01241116,0.00000844788,0.00002920766,0.000002654899,0.001787808,0.002160275,0.9804415,0.00001572225,0.00004266838,0.002897142],"study_design_scores_gemma":[0.001235543,0.0009802977,0.1387144,0.00002755362,0.0001826459,0.000006369737,0.08479801,0.5449933,0.2276483,0.0003079597,0.0005340841,0.0005716023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995666,0.00002815377,0.000004315558,0.0001455851,0.00002076014,0.00008759737,0.000002820575,0.0000332442,0.0001109324],"genre_scores_gemma":[0.9996574,0.00001979973,0.000009973018,0.00005128215,0.00001909579,0.000005748139,0.00002622816,3.950891e-7,0.0002101078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7527933,"threshold_uncertainty_score":0.20213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0604334872625723,"score_gpt":0.2795957370027194,"score_spread":0.2191622497401471,"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."}}