{"id":"W4386964523","doi":"10.2196/49204","title":"Development of the ehive Digital Health App: Protocol for a Centralized Research Platform","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Protocol (science); Digital health; Computer science; mHealth; World Wide Web; Health care; Medicine; Psychological intervention; Nursing; Political 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":[0.07761136,0.001986244,0.002287938,0.003596718,0.004888643,0.004882099,0.002214424,0.005050546,0.1033817],"category_scores_gemma":[0.09094743,0.002592339,0.002106431,0.00190978,0.004143097,0.004310847,0.004521017,0.007473846,0.05064868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003913136,"about_ca_system_score_gemma":0.0166562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001650953,"about_ca_topic_score_gemma":0.002567932,"domain_scores_codex":[0.9606209,0.02411237,0.007396482,0.002293605,0.003869303,0.001707177],"domain_scores_gemma":[0.9322559,0.03055279,0.004121706,0.01134241,0.0189186,0.002808576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01851834,0.008155184,0.004202686,0.02970167,0.0002258042,0.003721604,0.02329358,0.003102342,0.01010984,0.03721644,0.4794079,0.3823447],"study_design_scores_gemma":[0.01145162,0.005297484,0.009696733,0.02090096,0.0001453322,0.001248971,0.007049638,0.003361762,0.009141834,0.01944807,0.91177,0.0004876429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00321717,0.0003179474,0.03085436,0.001219759,0.0007720066,0.9494011,0.004973647,0.0009505569,0.008293527],"genre_scores_gemma":[0.001589144,0.0001638958,0.0128407,0.0004889644,0.00007904825,0.982668,0.000562189,0.00008911627,0.001519029],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1033817,"threshold_uncertainty_score":0.410453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6895417459143951,"score_gpt":0.7245754551946845,"score_spread":0.03503370928028937,"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."}}