{"id":"W2575679666","doi":"10.2196/diabetes.6916","title":"The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Agency for Healthcare Research and Quality","keywords":"Leverage (statistics); Workflow; Digital health; Depression (economics); mHealth; Business; Mobile technology; Diabetes mellitus; Medicine; Public relations; Marketing; Mobile device; Health care; Economic growth; Computer science; Nursing; Political science; Economics; Psychological intervention; Management","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":[0.0547708,0.0008901487,0.00133868,0.001791976,0.007900487,0.01223978,0.003221951,0.0141781,0.01517748],"category_scores_gemma":[0.1083529,0.000885967,0.00263118,0.001677576,0.00779979,0.01707847,0.01831577,0.0224543,0.002573282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003655619,"about_ca_system_score_gemma":0.01908654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008465464,"about_ca_topic_score_gemma":0.01448139,"domain_scores_codex":[0.9574737,0.03162851,0.001376202,0.002614452,0.003865773,0.003041395],"domain_scores_gemma":[0.9163936,0.05148312,0.005572644,0.006487675,0.005151008,0.01491199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004899207,0.001365518,0.09564734,0.00197167,0.0008040956,0.002928121,0.02082366,0.0006980926,0.001520544,0.09205605,0.2081806,0.5735143],"study_design_scores_gemma":[0.0006447728,0.002093818,0.06958496,0.01603988,0.001242729,0.00886698,0.05309554,0.003648935,0.002006642,0.3388645,0.5034397,0.0004714717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009555897,0.005403176,0.004972234,0.9587537,0.001383926,0.0001836688,0.00006374821,0.00007164759,0.01961194],"genre_scores_gemma":[0.4168512,0.02107162,0.06096207,0.4841949,0.006960602,0.002304295,0.0001744249,0.000156986,0.007323877],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0547708,"threshold_uncertainty_score":0.2896592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711152184795531,"score_gpt":0.3850327640474674,"score_spread":0.3579212421995121,"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."}}