{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003688324,0.001443922,0.002838678,0.00053185,0.0008696358,0.001319192,0.00106981,0.002483533,0.008335021],"category_scores_gemma":[0.005085624,0.0006563012,0.002306669,0.0005858188,0.001121186,0.001264884,0.0008246628,0.00291769,0.0008424789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008843106,"about_ca_system_score_gemma":0.001826928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436633,"about_ca_topic_score_gemma":0.00421587,"domain_scores_codex":[0.998471,0.000716174,0.0001547273,0.0002523527,0.0001610896,0.0002446733],"domain_scores_gemma":[0.9980645,0.0007297535,0.0003921646,0.0001315569,0.000277607,0.0004045415],"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":[0.9045656,0.05178931,0.002180191,0.00458559,0.002625158,0.0001932448,0.0004427111,0.0001943386,0.001462103,0.0001898161,0.001911533,0.02986044],"study_design_scores_gemma":[0.8127136,0.177491,0.006192163,0.000319282,0.001398809,0.00004454203,0.0002035538,0.0002628262,0.0002468014,0.0001638906,0.0009408923,0.00002273648],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927177,0.004538713,0.001234407,0.0009077079,0.001053715,0.06009645,0.001736115,0.0002430356,0.003012911],"genre_scores_gemma":[0.8951745,0.003466517,0.005434065,0.001500955,0.0006518535,0.08960571,0.0007487551,0.00003401761,0.003383616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008335021,"threshold_uncertainty_score":0.02788341,"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."}}