{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557625,0.0002908095,0.0004237718,0.0007966137,0.0008543078,0.0009184928,0.0005281828,0.0006249293,0.001279979],"category_scores_gemma":[0.002817576,0.0004677006,0.0008960155,0.001379893,0.0002757732,0.001229857,0.0007890505,0.001662495,0.0003736863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004907605,"about_ca_system_score_gemma":0.0005140956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025631,"about_ca_topic_score_gemma":0.01290622,"domain_scores_codex":[0.9991624,0.0001813409,0.0001157363,0.0002172607,0.0001846099,0.0001386128],"domain_scores_gemma":[0.9978091,0.0002402584,0.0009286492,0.000228116,0.000424896,0.0003690395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001261772,0.0001394115,0.9986361,0.000008646814,0.00007866397,0.00002250769,0.0000952885,0.00001786488,0.00004666864,0.00001174086,0.000171767,0.0006451947],"study_design_scores_gemma":[0.00003065306,0.0003223248,0.998274,0.00001741139,0.00008530606,0.0001108743,0.0004196891,0.0002435631,0.00005067905,0.00002997058,0.0004054009,0.00001012936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976416,0.0002061607,0.0001311885,0.0000731075,0.00001215491,0.00003948106,0.001461266,0.000004146774,0.000431017],"genre_scores_gemma":[0.9973111,0.0001375912,0.0002187573,0.0001493597,0.00002029862,0.00007923113,0.001808744,0.000003047888,0.0002718151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01025631,"threshold_uncertainty_score":0.02039325,"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."}}