{"id":"W2736218151","doi":"10.2196/diabetes.6751","title":"Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Patient portal; Business; Health equity; Gateway (web page); Ethnic group; Health information technology; Internet privacy; Medicine; Public relations; Nursing; Political science; Economic growth; Computer science; World Wide Web; Economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000508232,0.0002161208,0.0003727884,0.0002802229,0.001790524,0.00008527177,0.0003399096,0.0002931968,0.00002131145],"category_scores_gemma":[0.000195908,0.0002056077,0.00002837846,0.0002056693,0.0001943418,0.0005013144,0.000434169,0.0005257644,0.00005512894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267073,"about_ca_system_score_gemma":0.00006941333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001329764,"about_ca_topic_score_gemma":0.0002942416,"domain_scores_codex":[0.9976577,0.00008531215,0.0005507185,0.0005121744,0.0001607277,0.001033402],"domain_scores_gemma":[0.9982763,0.0002872285,0.0003145624,0.0008491394,0.00004803123,0.0002247247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001076439,0.0001325901,0.9083593,0.001566895,0.00001222805,7.764656e-7,0.0004422989,0.000005329922,0.0002415007,0.05878027,0.001374089,0.02907397],"study_design_scores_gemma":[0.0009337313,0.00005629559,0.9460194,0.0009944349,0.00001571991,1.209279e-7,0.0008675823,0.0003417475,0.000113909,0.006005698,0.04440792,0.0002434649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771053,0.0004261438,0.0002230319,0.01339162,0.0002343799,0.004915813,0.00005429624,0.0001600025,0.003489428],"genre_scores_gemma":[0.9630591,0.0002575386,0.008029792,0.001820676,0.000127794,0.02609199,0.00002758271,0.00003500369,0.0005504837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05277457,"threshold_uncertainty_score":0.999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2956192328226311,"score_gpt":0.4326197186405263,"score_spread":0.1370004858178952,"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."}}