{"id":"W3046600855","doi":"10.2196/18660","title":"The Diabits App for Smartphone-Assisted Predictive Monitoring of Glycemia in Patients With Diabetes: Retrospective Observational Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Diabetes mellitus; Medicine; Observational study; Continuous glucose monitoring; Retrospective cohort study; Computer science; Internal medicine; Emergency 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":[0.0003239397,0.0002111763,0.0004549587,0.0001136121,0.0001385211,0.0000448637,0.000231825,0.0000656621,0.000008818311],"category_scores_gemma":[0.0004477634,0.0001372625,0.0000893666,0.0007577453,0.0001450303,0.0001747903,0.0001276541,0.0002562974,0.000004195535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336991,"about_ca_system_score_gemma":0.00007169046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000132551,"about_ca_topic_score_gemma":0.000002673893,"domain_scores_codex":[0.9978686,0.00006973614,0.0003877415,0.0004056782,0.0007581961,0.0005100252],"domain_scores_gemma":[0.9984966,0.0004398002,0.0001704552,0.0002767227,0.0004780276,0.0001383847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000932155,0.0008736237,0.99335,0.0001898302,0.00039278,7.183184e-7,0.000592414,0.00001719293,0.0002231674,0.00001670209,0.0004897658,0.002921621],"study_design_scores_gemma":[0.007087335,0.004774353,0.9854073,0.0001927085,0.00008692273,1.677493e-9,0.0005317343,0.0008253294,0.00075995,0.00004167173,0.0001517411,0.0001409684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945405,0.00007461376,0.000004288312,0.0006305994,0.0001108084,0.004292389,0.00004328278,0.00005678624,0.0002467855],"genre_scores_gemma":[0.9980732,0.000001623976,0.0001513601,0.00006895439,0.0001701531,0.001259285,0.00006345902,0.00003975449,0.0001721645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007942745,"threshold_uncertainty_score":0.5597402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284404796548269,"score_gpt":0.301547236971527,"score_spread":0.2587031890060443,"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."}}