{"id":"W4225305782","doi":"10.2196/34624","title":"Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Medicine; Confounding; Diabetes mellitus; Type 2 diabetes; Cohort; Cohort study; Diabetes management; Internal medicine; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006748537,0.0002273106,0.0005407952,0.0003186215,0.0008110199,0.000006044476,0.0001519373,0.0000869552,0.0000190312],"category_scores_gemma":[0.00008211158,0.0002140015,0.00002564989,0.0007952856,0.00004900917,0.00006305826,0.0002527347,0.0008816609,0.000001531754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630977,"about_ca_system_score_gemma":0.0001284491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195456,"about_ca_topic_score_gemma":0.00007880684,"domain_scores_codex":[0.9974874,0.0002838054,0.0004754052,0.0005777772,0.0004023656,0.0007732594],"domain_scores_gemma":[0.9983661,0.0005955848,0.0004253149,0.0003414209,0.0001010951,0.0001704422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003734521,0.001514239,0.991361,0.003361788,0.00009063049,0.000005073799,0.001321606,0.0000608669,0.0006963524,0.000150995,0.00007687106,0.0009871236],"study_design_scores_gemma":[0.007483812,0.002649593,0.9824039,0.001725771,0.0001464648,4.500222e-7,0.001771259,0.003225012,0.0001577687,0.00009091044,0.0001183486,0.0002267361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985391,0.0006201078,0.000005063534,0.00008529229,0.0001356475,0.01336837,0.00003086307,0.00006494733,0.0002987666],"genre_scores_gemma":[0.9827068,0.00005713916,0.0007106912,0.0004057825,0.00006849106,0.0159109,0.00002807788,0.00004800302,0.00006405186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008957126,"threshold_uncertainty_score":0.8726728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027748423859372,"score_gpt":0.3228955707275575,"score_spread":0.3026180864889638,"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."}}