{"id":"W1989961542","doi":"10.1016/j.ifset.2015.01.008","title":"Flax mucilage and barley beta-glucan aerogels obtained using supercritical carbon dioxide: Application as flax lignan carriers","year":2015,"lang":"en","type":"article","venue":"Innovative Food Science & Emerging Technologies","topic":"Polysaccharides and Plant Cell Walls","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Archer Daniels Midland; Alberta Agricultural Research Institute","keywords":"Mucilage; Aerogel; Nutraceutical; Polysaccharide; Chemistry; Supercritical carbon dioxide; Supercritical fluid; Bioavailability; Glucan; Beta-glucan; Food science; Chemical engineering; Chromatography; Materials science; Organic chemistry; Nanotechnology; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001185611,0.0003927218,0.0001863304,0.0002406257,0.0001968339,0.0002879435,0.0001164859,0.00030139,0.0006582196],"category_scores_gemma":[0.00009508139,0.0001266395,0.0002674622,0.0001779261,0.0001709205,0.0003675081,0.0001710448,0.0002784167,0.0001207956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468763,"about_ca_system_score_gemma":0.0002058488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234847,"about_ca_topic_score_gemma":0.003007384,"domain_scores_codex":[0.9999437,0.000005949021,0.000003354581,0.00001163699,0.00001164401,0.00002362059],"domain_scores_gemma":[0.9999549,0.000008749422,0.00001133782,0.000003427,0.000008606345,0.00001300475],"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":[0.00007363806,0.000004898637,0.00003442166,0.00003129937,0.00000446869,0.00004001006,0.00002034953,0.00008265023,0.9989624,0.00004339796,0.00001682248,0.0006856508],"study_design_scores_gemma":[0.00000442167,0.00006020234,0.0007580265,0.000003093212,0.000008714374,0.00002622707,0.00001833749,0.0002550882,0.9981172,0.00001310283,0.0007313779,0.000004180851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958269,0.001175521,0.001298561,0.0000444969,0.00001920201,0.0000147113,0.0001246124,0.00003693181,0.001459043],"genre_scores_gemma":[0.9966395,0.0005436803,0.0008406422,0.00001783818,0.000005617423,0.00001067526,0.0001439819,0.0000164934,0.001781697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002234847,"threshold_uncertainty_score":0.004443765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718364875398608,"score_gpt":0.2647921850307146,"score_spread":0.2276085362767285,"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."}}