{"id":"W2901375199","doi":"10.2196/11041","title":"Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Canberra; Public Health Foundation of India","keywords":"Observational study; Medicine; Depression (economics); Patient Health Questionnaire; mHealth; Comorbidity; Glycemic; Cross-sectional study; Diabetes management; Diabetes mellitus; Clinical psychology; Psychiatry; Anxiety; Depressive symptoms; Type 2 diabetes; Psychological intervention; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004113937,0.0001477615,0.0002262787,0.0001086643,0.0005350021,0.00004142666,0.00004931726,0.00008711126,0.0000155074],"category_scores_gemma":[0.00004663883,0.0001282679,0.00002724392,0.0001552302,0.0001848833,0.0002091067,0.00002736338,0.0001302957,0.00000149655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009710611,"about_ca_system_score_gemma":0.0001439249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003203336,"about_ca_topic_score_gemma":0.0002360118,"domain_scores_codex":[0.9982493,0.0001322925,0.0006510804,0.0004414104,0.0001664529,0.0003594579],"domain_scores_gemma":[0.9983265,0.0001778693,0.0006748803,0.000193612,0.0004001433,0.0002270184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000855478,0.0007819898,0.97724,0.0003183787,0.00002955747,7.443943e-8,0.0005522774,8.56907e-7,0.00001625904,0.0001757917,0.0000407122,0.01998864],"study_design_scores_gemma":[0.002700696,0.003251696,0.9920403,0.00006085868,0.00003166783,0.000001148798,0.0002341425,0.0009319363,0.00002953693,0.000589138,0.00002669946,0.0001022118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957089,0.00005986922,0.001109383,0.00007216467,0.000502477,0.001986558,0.0004881679,0.00002470016,0.00004773714],"genre_scores_gemma":[0.9968858,0.000001535493,0.002535001,0.0001408351,0.0001405608,0.00009429675,0.0001414601,0.00002215767,0.00003832359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01988643,"threshold_uncertainty_score":0.5230613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146274118595688,"score_gpt":0.4636872107875495,"score_spread":0.3174130921918615,"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."}}