{"id":"W3203721275","doi":"10.2196/32298","title":"Changes in Glycemic Control Among Individuals With Diabetes Who Used a Personalized Digital Nutrition Platform: Longitudinal Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Glycemic; Medicine; Glycated hemoglobin; Meal; Digital health; Type 2 diabetes; Longitudinal study; Gerontology; Internal medicine; Environmental health; Endocrinology; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001292207,0.0003010331,0.0007847226,0.0001796448,0.0001275046,0.0001308584,0.00008388599,0.0001012402,0.0001348297],"category_scores_gemma":[0.00009119027,0.0002454503,0.0001156009,0.0004871448,0.0001806342,0.0002911495,0.00006752366,0.00024148,0.00001343737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017207,"about_ca_system_score_gemma":0.00005256368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009057422,"about_ca_topic_score_gemma":0.0002278671,"domain_scores_codex":[0.9980491,0.00003801196,0.0002962298,0.0004881564,0.0005583568,0.0005701938],"domain_scores_gemma":[0.9990466,0.0002761525,0.0001091614,0.0002156832,0.000194291,0.0001580818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004002339,0.002537206,0.9944412,0.0002699399,0.0004338594,0.0001152235,0.0004292651,5.816225e-7,0.0003985436,0.00003186139,0.0007013745,0.000240676],"study_design_scores_gemma":[0.02425963,0.00231525,0.9673498,0.0009640213,0.000171459,0.000004128352,0.002857063,0.00003968359,0.0006390681,0.0001980868,0.0008916766,0.0003101519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950147,0.001466039,0.000001482046,0.00122471,0.00004179438,0.001709611,0.0002117504,0.00007548262,0.0002544106],"genre_scores_gemma":[0.997448,0.00004481539,0.00005493368,0.0003127707,0.0002409586,0.00145628,0.000250292,0.00003640913,0.0001555955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02709145,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160271210602034,"score_gpt":0.2689592239460257,"score_spread":0.2473565118400053,"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."}}