{"id":"W4390695179","doi":"10.2196/46222","title":"The Sukaribit Smartphone App for Better Self-Management of Type 2 Diabetes: Randomized Controlled Feasibility Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uppsala Universitet","keywords":"Glycemic; Medicine; Randomized controlled trial; Type 2 diabetes; Intervention (counseling); Diabetes mellitus; Physical therapy; Distress; Data collection; Research design; Self-management; Self-monitoring; Nursing; Psychology; Internal medicine; Clinical psychology; Computer science","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":[0.01184498,0.001826342,0.003424033,0.001123338,0.0009630536,0.001333987,0.001495286,0.002838359,0.01136569],"category_scores_gemma":[0.01077673,0.001193632,0.002315701,0.001028217,0.001509836,0.001978396,0.001261352,0.00198132,0.001224857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009046157,"about_ca_system_score_gemma":0.00342457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544843,"about_ca_topic_score_gemma":0.002346987,"domain_scores_codex":[0.9911529,0.006277453,0.0006314288,0.0005475347,0.0006839012,0.0007067481],"domain_scores_gemma":[0.9946522,0.002788467,0.0009178455,0.0003750171,0.0005269628,0.0007395324],"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":[0.8711246,0.08779645,0.001389304,0.004273956,0.001197949,0.0001005113,0.0003249498,0.0002419123,0.00109242,0.000293414,0.0008927772,0.03127175],"study_design_scores_gemma":[0.8149322,0.1802094,0.002480235,0.0001902409,0.0005997413,0.00002151669,0.0001232534,0.0002909667,0.0002018384,0.0001457902,0.0007841106,0.00002052867],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6904557,0.002616171,0.003531398,0.0007827203,0.001235864,0.2971823,0.001216781,0.000221969,0.002757109],"genre_scores_gemma":[0.5604066,0.002500574,0.01662913,0.001473177,0.0008007556,0.4146007,0.0004957725,0.0000410768,0.003052221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184498,"threshold_uncertainty_score":0.06264299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08133965421105369,"score_gpt":0.5149365955197933,"score_spread":0.4335969413087396,"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."}}