{"id":"W7162145287","doi":"10.82308/7559","title":"Identification of nutritional profiles associated with lower predicted glycemic load among potato cultivars","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Food composition and properties","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic index; Glycemic; Glycemic load; Starch; Cultivar; Resistant starch","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001636795,0.0002299987,0.0002321893,0.0003781525,0.0003633742,0.0006132442,0.0001446068,0.0001811219,0.0006689519],"category_scores_gemma":[0.0003512849,0.0001206697,0.0001669806,0.0005973707,0.0002163218,0.0001332122,0.0002113517,0.0003152652,0.000120084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007598056,"about_ca_system_score_gemma":0.0004271489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09913497,"about_ca_topic_score_gemma":0.164802,"domain_scores_codex":[0.9998864,0.00001140297,0.000005749761,0.00004768296,0.00002590639,0.00002291076],"domain_scores_gemma":[0.9997513,0.00003248244,0.00007400427,0.00001617527,0.00007286874,0.00005323795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0020023,0.0002090055,0.7483329,0.00006611159,0.0002067615,0.0001915999,0.001150546,0.000226697,0.2345852,0.00006185423,0.0001966218,0.01277044],"study_design_scores_gemma":[0.000002468025,0.00007082463,0.9980146,0.00000212668,0.0000180002,0.00004194141,0.0001789438,0.0001492527,0.001395612,0.000007806056,0.0001152906,0.000003054407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99958,0.00004946585,0.00005638117,0.000005091289,6.835178e-7,0.000002330255,0.0001363423,0.000002204933,0.0001674936],"genre_scores_gemma":[0.9986489,0.00007211239,0.0002484988,0.00001155814,7.179489e-7,0.000003767635,0.000467396,0.000004894971,0.0005420878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09913497,"threshold_uncertainty_score":0.1971159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246805346568258,"score_gpt":0.236388643418319,"score_spread":0.2239205899526364,"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."}}