{"id":"W2783548041","doi":"10.1016/j.memsci.2018.01.014","title":"Separation of major and minor lipid components using supercritical CO2 coupled with cross-flow reverse osmosis membrane filtration","year":2018,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chromatography; Membrane; Chemistry; Reverse osmosis; Filtration (mathematics); Permeation; Fouling; Supercritical fluid; Membrane technology; Membrane fouling; Emulsion; Chemical engineering; Organic chemistry; Biochemistry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001543443,0.000182077,0.0003446166,0.0002169988,0.0003702824,0.000129066,0.0005227704,0.00009432441,0.0008206525],"category_scores_gemma":[0.0004764427,0.0001413069,0.00005217156,0.0008715222,0.003857231,0.001894513,0.000129239,0.0001916807,0.00002934754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463625,"about_ca_system_score_gemma":0.0001177267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064189,"about_ca_topic_score_gemma":0.00005172049,"domain_scores_codex":[0.9973374,0.00006803207,0.0006705663,0.0003425838,0.001250886,0.0003305323],"domain_scores_gemma":[0.9988319,0.0001161888,0.0002848467,0.0003001338,0.0002864473,0.0001805304],"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":[0.0002186102,0.00008350673,0.006987188,0.00003045294,0.000009329561,0.000007806775,0.0003188675,0.002908716,0.989127,0.0000750296,0.00006462533,0.0001688154],"study_design_scores_gemma":[0.001244726,0.0007338673,0.02583135,0.0001032835,0.000056266,0.0004330917,0.0001983646,0.08587391,0.8851234,0.00005711988,0.000131331,0.0002133313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962997,0.00001619173,0.002274237,0.0003839976,0.0002241572,0.0002076623,0.000005749263,0.00002044432,0.0005677972],"genre_scores_gemma":[0.9782103,0.00002273345,0.02148804,0.000105551,0.00007390178,0.000001628245,0.000001327468,0.00001021557,0.00008630965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040037,"threshold_uncertainty_score":0.9988537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443750385260774,"score_gpt":0.2999755539741774,"score_spread":0.2755380501215696,"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."}}