{"id":"W2795425084","doi":"10.2196/10009","title":"Connecting Smartphone and Wearable Fitness Tracker Data with a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Activity tracker; Usability; Wearable computer; mHealth; Wearable technology; Interface (matter); Goal setting; Diabetes management; Medicine; Computer science; Human–computer interaction; Diabetes mellitus; Psychology; Nursing; Type 2 diabetes; Psychological intervention; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05280906,0.006110875,0.008274023,0.003117547,0.005255031,0.00451742,0.003296216,0.008256075,0.0536156],"category_scores_gemma":[0.05182363,0.003593813,0.005980526,0.003591109,0.00412685,0.004184059,0.003349075,0.008480743,0.01121142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005155738,"about_ca_system_score_gemma":0.01545528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002691439,"about_ca_topic_score_gemma":0.004091127,"domain_scores_codex":[0.9507903,0.03195185,0.006367696,0.002817075,0.005246948,0.002826028],"domain_scores_gemma":[0.9758325,0.006498898,0.00461931,0.003610942,0.007091576,0.00234682],"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":[0.8468847,0.04663403,0.001543957,0.01646639,0.002348651,0.0003490199,0.0008649965,0.002293723,0.002980809,0.004326158,0.02133292,0.05397465],"study_design_scores_gemma":[0.8999144,0.05726129,0.003486574,0.002329101,0.0009017518,0.00006911275,0.0002654613,0.001876414,0.001068477,0.002778331,0.029892,0.0001570597],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0009249994,0.0000613389,0.0009507075,0.00007511637,0.0001294862,0.9971548,0.0003429218,0.00004247687,0.0003181955],"genre_scores_gemma":[0.0006482454,0.0000250514,0.001244155,0.00005137973,0.00001422997,0.9978601,0.00004274619,0.000002812797,0.0001111855],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0536156,"threshold_uncertainty_score":0.2792844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2995742799822382,"score_gpt":0.5951940315498914,"score_spread":0.2956197515676531,"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."}}