{"id":"W3049594411","doi":"10.1021/acsomega.0c02181","title":"Optimization of Ultrasound-Assisted Extraction of Functional Food Fiber from Canadian Horseweed (<i>Erigeron canadensis</i> L.)","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Politechnika Wrocławska","keywords":"Extraction (chemistry); Bioproducts; Response surface methodology; Fiber; Biomass (ecology); Pulp and paper industry; Chromatography; Biofuel; Biology; Biotechnology; Chemistry; Agronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001769416,0.0004972187,0.0001786247,0.0003120777,0.0002082042,0.0003340524,0.0002009133,0.0002655468,0.0006640934],"category_scores_gemma":[0.0001323043,0.0001107211,0.0002273336,0.0002565247,0.0001612294,0.0002188722,0.0001784136,0.0002915231,0.000254923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193548,"about_ca_system_score_gemma":0.0003804312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008645776,"about_ca_topic_score_gemma":0.02503549,"domain_scores_codex":[0.9998952,0.00001020722,0.000006262069,0.00003261389,0.00003289878,0.0000226882],"domain_scores_gemma":[0.9999571,0.000006952796,0.00001286656,0.000002354025,0.00001320454,0.000007527967],"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":[0.00001643944,0.000007665227,0.00006719951,0.00002680867,0.000003308471,0.00002249878,0.000007775333,0.0000577868,0.9985095,0.0000159386,0.00001356567,0.001251438],"study_design_scores_gemma":[0.000004132848,0.0001115575,0.005083667,0.000008024273,0.000025714,0.00007009086,0.00002477305,0.0004061187,0.9918704,0.0000148546,0.002371438,0.000009333051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847614,0.00207386,0.009216703,0.00007816394,0.00002278233,0.0001167712,0.000525751,0.00008557777,0.00311902],"genre_scores_gemma":[0.9746177,0.001301067,0.01683567,0.00007794479,0.000006454653,0.00005695481,0.001278332,0.00005234273,0.005773438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008645776,"threshold_uncertainty_score":0.01719087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520514500770181,"score_gpt":0.2137822933038964,"score_spread":0.1985771482961945,"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."}}