{"id":"W4288041312","doi":"10.3390/foods11152215","title":"Development of a Canadian Food Composition Database of Gluten-Free Products","year":2022,"lang":"en","type":"article","venue":"Foods","topic":"Celiac Disease Research and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Food science; Riboflavin; Nutrient; Ingredient; Food composition data; Micronutrient; Niacin; Composition (language); Dietary fiber; Legume; Food group; Chemistry; Biology; Botany; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002484623,0.000717111,0.0007381281,0.01769063,0.00194409,0.001785128,0.002086839,0.000447463,0.007635045],"category_scores_gemma":[0.006448414,0.000447844,0.0007334222,0.02120111,0.000208683,0.001314179,0.0008957222,0.0006078838,0.002667493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01721973,"about_ca_system_score_gemma":0.03166037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9467866,"about_ca_topic_score_gemma":0.9448629,"domain_scores_codex":[0.9980848,0.0001128438,0.000221885,0.0002712059,0.001133521,0.0001757084],"domain_scores_gemma":[0.986321,0.0004306324,0.000604009,0.0005529776,0.01163644,0.0004549157],"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":[0.0006747181,0.0003678257,0.2400724,0.001832205,0.0003486485,0.000511914,0.001074671,0.005506775,0.004747459,0.005232614,0.2097301,0.5299008],"study_design_scores_gemma":[0.0001341386,0.000125775,0.4687589,0.0006021086,0.0003361653,0.0003200482,0.0009671586,0.01191426,0.004388277,0.0008463109,0.5114238,0.0001831137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.107837,0.002677217,0.03056902,0.001056887,0.0001212745,0.002319666,0.7939903,0.002622794,0.05880582],"genre_scores_gemma":[0.1742842,0.003249842,0.1168296,0.0004329311,0.00004356384,0.001338694,0.6907749,0.0003572949,0.0126891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05321336,"threshold_uncertainty_score":0.1249385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04315050807942172,"score_gpt":0.2770861628271122,"score_spread":0.2339356547476905,"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."}}