{"id":"W2902629348","doi":"10.1016/j.lwt.2018.11.062","title":"Innovative technologies for the extraction of saccharidic and phenolic fractions from Pleurotus eryngii","year":2018,"lang":"en","type":"article","venue":"LWT","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Xunta de Galicia; European Commission; Federation for the Humanities and Social Sciences","keywords":"Pleurotus eryngii; Trolox; Chemistry; Mushroom; Extraction (chemistry); Gallic acid; Pleurotus; Supercritical carbon dioxide; Monosaccharide; Chromatography; Antioxidant; Supercritical fluid extraction; Solvent; Food science; Water extraction; Organic chemistry; DPPH","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002734596,0.00004292057,0.0000778859,0.00003388393,0.0001366962,0.000002573636,0.00004036745,0.0001046849,0.00003105103],"category_scores_gemma":[0.0001789265,0.00002732471,0.00001451672,0.0001819168,0.0002672964,0.00002779512,0.00001716632,0.0001380865,0.00001124364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006613789,"about_ca_system_score_gemma":0.000007392348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004957391,"about_ca_topic_score_gemma":0.00001495415,"domain_scores_codex":[0.9997181,0.000004715381,0.00008860963,0.00009894598,0.00002770603,0.00006195794],"domain_scores_gemma":[0.9993781,0.0002899101,0.00005905524,0.0001567531,0.0001085108,0.00000771142],"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":[0.0001208143,0.00007583436,0.007126769,0.00001062221,0.00009650751,2.556612e-7,0.0002912898,1.544437e-7,0.9426467,0.01298119,0.004386794,0.03226306],"study_design_scores_gemma":[0.000710019,0.0004371769,0.1843388,0.00003391655,0.0001274255,0.00001783441,0.00156127,0.0001900879,0.6915963,0.01866046,0.1022404,0.00008622795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757205,0.0007565105,0.01016759,0.01111052,0.0001411378,0.0005470896,0.00008062494,0.0001060923,0.001369914],"genre_scores_gemma":[0.997932,0.00009971773,0.001373965,0.0002210716,0.0001117044,0.0001033422,0.00001560729,0.000003714448,0.0001388736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2510504,"threshold_uncertainty_score":0.1114269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946693314416289,"score_gpt":0.3287325991588478,"score_spread":0.2992656660146849,"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."}}