{"id":"W3020562649","doi":"10.3390/antiox9040352","title":"Ultrasound-Assisted Aqueous Extraction of Biocompounds from Orange Byproduct: Experimental Kinetics and Modeling","year":2020,"lang":"en","type":"article","venue":"Antioxidants","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Regional Development Fund; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Naringin; Chemistry; Ferulic acid; Hesperidin; Chromatography; Extraction (chemistry); Orange (colour); Aqueous solution; Response surface methodology; Flavonoid; Antioxidant; Organic chemistry; Food science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00003825077,0.0001687803,0.0003578361,0.00004565226,0.00004505092,0.00002226046,0.00005810233,0.00008452165,0.00005974276],"category_scores_gemma":[0.00006686735,0.0001580343,0.0000777068,0.0001364419,0.00009795056,0.0001485821,0.0000343644,0.0001377322,0.000005869996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001826252,"about_ca_system_score_gemma":0.00002246303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113592,"about_ca_topic_score_gemma":0.000001857225,"domain_scores_codex":[0.9989561,0.00002062727,0.000295647,0.0003303702,0.000222109,0.000175126],"domain_scores_gemma":[0.9994874,0.00005346285,0.0001048519,0.0001604889,0.00006013703,0.0001336839],"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":[0.0002170986,0.0003150393,0.003782503,0.00007064566,0.0000598371,0.00002004415,0.0004172674,0.000003629876,0.9940282,0.00001262214,0.0001421934,0.000930924],"study_design_scores_gemma":[0.001028344,0.0002219442,0.01646486,0.00014231,0.00008037247,0.000112347,0.0006172201,0.00302696,0.9779503,0.00005778742,0.0001251104,0.0001724365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959555,0.002199273,0.0005529877,0.0004065846,0.00008228833,0.0001870585,0.00004416061,0.00006963417,0.0005025505],"genre_scores_gemma":[0.9974377,0.0002598875,0.001705083,0.0002220653,0.0002758771,0.000005269681,0.00004183859,0.00002640463,0.00002592058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607789,"threshold_uncertainty_score":0.6444452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0505859030925201,"score_gpt":0.2994156442660824,"score_spread":0.2488297411735623,"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."}}