{"id":"W3097655478","doi":"10.2196/22074","title":"Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation; Western University","funders":"Physicians' Services Incorporated Foundation","keywords":"Usability; Type 2 diabetes; Randomized controlled trial; Medicine; System usability scale; Diabetes mellitus; Computer science; Internal medicine; Heuristic evaluation; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003593519,0.0004574604,0.001600878,0.0001808749,0.002349558,0.00003810645,0.0001789978,0.0003012999,0.00007069724],"category_scores_gemma":[0.0008494212,0.0003734075,0.0001107082,0.0006417393,0.0002172168,0.000233034,0.00004208713,0.001026519,0.00006167889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181043,"about_ca_system_score_gemma":0.003483983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005136904,"about_ca_topic_score_gemma":0.00007570461,"domain_scores_codex":[0.9934689,0.001369532,0.001970537,0.0008976781,0.0003821154,0.001911231],"domain_scores_gemma":[0.9933648,0.002077889,0.001484849,0.0003671149,0.0007039808,0.002001368],"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":[0.96733,0.0003092042,0.00163619,0.01508893,0.00008480974,0.000001627078,0.005424685,0.00001302271,0.0001823309,0.0008329361,0.002265468,0.00683081],"study_design_scores_gemma":[0.9695528,0.003971003,0.000352795,0.000562992,0.0006856433,0.000001366422,0.002359719,0.01391862,0.000009929563,0.0006505018,0.007354371,0.0005803282],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434438,0.001038076,0.006910824,0.008270021,0.0008794041,0.03775498,0.0006787794,0.0004584428,0.0005656464],"genre_scores_gemma":[0.9473636,0.001066555,0.00355851,0.02901676,0.0025853,0.01571881,0.0005139338,0.0001390684,0.00003741999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02203617,"threshold_uncertainty_score":0.9998718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1409215411588428,"score_gpt":0.4270626004853065,"score_spread":0.2861410593264636,"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."}}