{"id":"W4318022964","doi":"10.1016/j.foodhyd.2023.108495","title":"Diversity of fibers in common foods: Key to advancing dietary research","year":2023,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; University of Alberta; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Weston Family Foundation","keywords":"Dietary fiber; Fructan; Food science; Dietary fibre; Biology; Fiber; Pectin; Human nutrition; Resistant starch; Biochemistry; Chemistry; Starch; Sucrose","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":[0.00261183,0.0007321073,0.001384267,0.002495227,0.0005697308,0.004319732,0.0008950491,0.002056465,0.007399077],"category_scores_gemma":[0.003256741,0.0003576664,0.0007411343,0.003225768,0.001789734,0.007171906,0.001577651,0.003287505,0.00249411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489119,"about_ca_system_score_gemma":0.002796498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002524681,"about_ca_topic_score_gemma":0.003096679,"domain_scores_codex":[0.9989626,0.0002635515,0.00008689124,0.0003144318,0.0002786772,0.00009376457],"domain_scores_gemma":[0.9965359,0.001530834,0.0004412493,0.0002120455,0.001040197,0.0002397803],"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":[0.0002110276,0.0001358417,0.004308804,0.01774556,0.0001594211,0.0003145837,0.0009811111,0.0004885637,0.02164222,0.05234125,0.02067132,0.8810003],"study_design_scores_gemma":[0.000009281609,0.000174595,0.005840357,0.006028026,0.0001557565,0.0005331622,0.00146014,0.0003154295,0.004244615,0.04142924,0.9397233,0.00008614671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005820231,0.9552141,0.01021758,0.01607629,0.001936398,0.00003809487,0.0005913927,0.0001026963,0.01000327],"genre_scores_gemma":[0.02841928,0.9432043,0.01621112,0.003965423,0.002258605,0.00005797804,0.000588223,0.00006492637,0.005230135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007399077,"threshold_uncertainty_score":0.02475238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06228354189109762,"score_gpt":0.3533172533961499,"score_spread":0.2910337115050523,"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."}}