{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01425617,0.0003173377,0.001010344,0.0005228071,0.002348641,0.0001135945,0.0005195576,0.0002365295,0.00001336449],"category_scores_gemma":[0.001745,0.0002639647,0.00005829107,0.0007810702,0.0001426519,0.0004125203,0.0002096231,0.0009041866,0.00004380126],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392882,"about_ca_system_score_gemma":0.007753522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006620152,"about_ca_topic_score_gemma":0.005207638,"domain_scores_codex":[0.9915942,0.002796269,0.001675138,0.00107662,0.0006338111,0.002223966],"domain_scores_gemma":[0.9919967,0.004050274,0.0006571126,0.0009151555,0.001740498,0.0006402528],"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":[0.7160733,0.003376949,0.04337018,0.09328854,0.00007441007,4.073246e-7,0.02264102,0.000009055518,0.0008688259,0.0007776118,0.004879365,0.1146403],"study_design_scores_gemma":[0.776076,0.008850122,0.001698969,0.01965106,0.00001321087,5.435816e-7,0.005084673,0.003072371,0.0001858144,0.0002012364,0.1847071,0.0004588765],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.08399552,0.0000121443,0.001156586,0.001319405,0.00005715002,0.9129267,0.0003624629,0.0001541872,0.00001586758],"genre_scores_gemma":[0.01040083,7.940691e-7,0.01529065,0.0001006617,0.0006566474,0.9730746,0.0002285791,0.0001009827,0.0001462204],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1798277,"threshold_uncertainty_score":0.9999813,"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."}}