{"id":"W4255336793","doi":"10.2196/preprints.22074","title":"Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation; Western University","funders":"","keywords":"Type 2 diabetes; Usability; Type 1 diabetes; Glycemic; Randomized controlled trial; Diabetes mellitus; Medicine; Computer science; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002150433,0.001116677,0.001773628,0.0003419953,0.0006067242,0.001112644,0.0006960768,0.001987433,0.01216361],"category_scores_gemma":[0.003630594,0.0004860258,0.002290105,0.0003420931,0.000616338,0.001025395,0.0005348058,0.002463301,0.001085726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006881658,"about_ca_system_score_gemma":0.001419905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576724,"about_ca_topic_score_gemma":0.004265442,"domain_scores_codex":[0.9992151,0.0003567004,0.00008640914,0.0001344655,0.00008098977,0.0001263321],"domain_scores_gemma":[0.9989342,0.0003703111,0.0002497453,0.00006908296,0.000148865,0.0002278698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9201982,0.02478467,0.001974484,0.004849857,0.002478221,0.0001199523,0.000237299,0.0001653716,0.001581124,0.0002038813,0.004138349,0.03926848],"study_design_scores_gemma":[0.8715453,0.1176828,0.006632327,0.0003438435,0.001476248,0.0000324753,0.0001219424,0.000236437,0.0003299425,0.0001255271,0.001453706,0.00001949218],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314057,0.005975959,0.001352608,0.001602517,0.002066128,0.04832628,0.003824391,0.0004236779,0.005022836],"genre_scores_gemma":[0.9022909,0.00415956,0.005691626,0.002309011,0.00108542,0.07657381,0.001465063,0.00004572525,0.006378944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216361,"threshold_uncertainty_score":0.04069132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254919534584896,"score_gpt":0.4037346087796073,"score_spread":0.2782426553211177,"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."}}