{"id":"W4220842625","doi":"10.1111/1541-4337.12934","title":"The applications of conventional and innovative mechanical technologies to tailor structural and functional features of dietary fibers from plant wastes: A review","year":2022,"lang":"en","type":"review","venue":"Comprehensive Reviews in Food Science and Food Safety","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Environmentally friendly; Emerging technologies; Process engineering; Food sector; Biochemical engineering; Computer science; Environmental science; Materials science; Nanotechnology; Engineering","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":[0.0003628045,0.001017016,0.0009160693,0.002807874,0.0002924711,0.0007537241,0.0005172227,0.0007864329,0.002547059],"category_scores_gemma":[0.000432721,0.0003393138,0.0005551071,0.002436262,0.0002555104,0.001162377,0.0004557009,0.0008628219,0.001127669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344364,"about_ca_system_score_gemma":0.0008044878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006988362,"about_ca_topic_score_gemma":0.001494854,"domain_scores_codex":[0.999837,0.00001742208,0.0000251101,0.00003511974,0.00006668522,0.0000186667],"domain_scores_gemma":[0.9997422,0.0001209566,0.00004891311,0.000008794848,0.00006262827,0.00001656786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005781539,0.0001419465,0.0002482532,0.05746022,0.0001456943,0.0003528592,0.0001312783,0.0008170783,0.02214548,0.004107,0.01394756,0.9004447],"study_design_scores_gemma":[0.000009242191,0.0002466664,0.001253637,0.005097373,0.0002050453,0.00130404,0.000102502,0.0002292267,0.006116903,0.001292697,0.9841064,0.00003625521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006464647,0.996958,0.0004060797,0.0001360391,0.0001521194,0.000008089167,0.00003329371,0.00001139304,0.001648481],"genre_scores_gemma":[0.00182859,0.9967344,0.0004855896,0.0000865853,0.00007588101,0.000008329594,0.00004151774,0.000001978094,0.0007371706],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002807874,"threshold_uncertainty_score":0.008520722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06290815755172569,"score_gpt":0.3259402595426566,"score_spread":0.2630321019909309,"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."}}