{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000552772,0.0001171532,0.0001639908,0.00004513301,0.00004760978,0.00001033858,0.00009877647,0.0001440802,0.000086386],"category_scores_gemma":[0.000115508,0.0001168012,0.00008131152,0.0001511808,0.00005830404,0.000009291571,0.00002109263,0.00006570723,0.00000341009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003117178,"about_ca_system_score_gemma":0.0002001021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03523684,"about_ca_topic_score_gemma":0.03433969,"domain_scores_codex":[0.999185,0.00004045417,0.0002322723,0.0002512818,0.0001448251,0.000146195],"domain_scores_gemma":[0.9993477,0.00001960258,0.0001622373,0.0001692997,0.0001593911,0.0001417669],"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":[0.00009963066,0.00002895487,0.001551456,0.000009754121,0.0001511071,6.902007e-7,0.00002893628,0.003978832,0.9916239,0.000008331945,0.001953911,0.0005644843],"study_design_scores_gemma":[0.0004403742,0.0003536169,0.02504035,0.00001178611,0.00006260104,0.000004353973,0.0000812411,0.0002157469,0.9630235,0.00001361342,0.01057369,0.0001791413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965849,0.0003052244,0.001517602,0.0003947586,0.00006801829,0.0001357042,0.0003062749,0.000006287208,0.0006812321],"genre_scores_gemma":[0.9977322,0.00004060361,0.0009427101,0.0002661152,0.0001610019,0.000009228222,0.0007261993,0.00001481361,0.0001071223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02860042,"threshold_uncertainty_score":0.9832811,"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."}}