{"id":"W2272751080","doi":"10.1016/j.foodchem.2016.02.040","title":"Evaluation of nutritional profiles of starch and dry matter from early potato varieties and its estimated glycemic impact","year":2016,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Food composition and properties","field":"Nursing","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Agriculture and Agri-Food Canada; University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Dry matter; Glycemic; Glycemic index; Starch; Food science; Chemistry; Potato starch; Biotechnology; Agronomy; Biology; Insulin","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":[0.0002089353,0.0003586272,0.0002297957,0.0005664417,0.0002945303,0.0004510143,0.000111162,0.0002324469,0.0005297135],"category_scores_gemma":[0.0004001514,0.0001506208,0.0002176548,0.0006229565,0.000206234,0.0002016055,0.0002305206,0.0004451597,0.0001601712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637914,"about_ca_system_score_gemma":0.0001668834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001003,"about_ca_topic_score_gemma":0.001883364,"domain_scores_codex":[0.9998918,0.00001942835,0.00000825967,0.00004027947,0.00002497687,0.00001526601],"domain_scores_gemma":[0.9997368,0.00004986301,0.00005982272,0.00001593994,0.00007775613,0.00005981291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004248146,0.0002367826,0.1052542,0.0001033298,0.0001604165,0.000250191,0.0004086489,0.000262009,0.8764552,0.00007316954,0.00006781613,0.01248012],"study_design_scores_gemma":[0.00002094256,0.00155421,0.8579544,0.00001359062,0.0001968809,0.0006559417,0.0006332894,0.001274998,0.1367102,0.0001137247,0.0008455793,0.00002618395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998907,0.0002028695,0.0004455833,0.000004653788,0.00000264785,0.000004380347,0.0002093338,0.000004033707,0.0002195246],"genre_scores_gemma":[0.9980464,0.000150698,0.0007941354,0.00001573654,0.00000237984,0.000008960017,0.0004579984,0.000008079238,0.0005156104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002001003,"threshold_uncertainty_score":0.00397867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342449282235289,"score_gpt":0.2853268259653007,"score_spread":0.2510818977417718,"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."}}