{"id":"W2745140364","doi":"10.2196/mhealth.7297","title":"Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Global Positioning System; Context (archaeology); Mobile phone; Computer science; Anxiety; mHealth; Mental health; Phone; Psychological intervention; Psychology; Geography; Telecommunications; Psychiatry","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":[0.0003786467,0.0003193698,0.0002180023,0.0006655976,0.0001280541,0.0005936688,0.0002814858,0.0004034354,0.0008591118],"category_scores_gemma":[0.004770341,0.0001486079,0.0003292396,0.0006551913,0.000112783,0.0003533998,0.0003435714,0.0003002377,0.0002862664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190777,"about_ca_system_score_gemma":0.0001313227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006690465,"about_ca_topic_score_gemma":0.01043358,"domain_scores_codex":[0.9996917,0.00009200706,0.00004016226,0.00007800067,0.00006289312,0.00003515427],"domain_scores_gemma":[0.9975896,0.0009653562,0.0007511504,0.0001253184,0.0004683093,0.0001003045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001642779,0.00004883259,0.98603,0.00005026053,0.00006553127,0.00005179676,0.0001180152,0.000784509,0.001072314,0.00002673841,0.0002664681,0.01132123],"study_design_scores_gemma":[0.000006399204,0.0002302492,0.9859297,0.00002816117,0.00007845416,0.0003487954,0.0005423955,0.01153329,0.0007688385,0.0001021382,0.0004180929,0.00001355972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965095,0.0002185946,0.001195161,0.0001002157,0.00001521475,0.00002292126,0.001275287,0.00003488555,0.000628335],"genre_scores_gemma":[0.9980547,0.0001001882,0.001112018,0.00001913925,0.000008690135,0.00001502523,0.0005473988,0.000001816271,0.0001411075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006690465,"threshold_uncertainty_score":0.01330304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07050364382507783,"score_gpt":0.4398137884337215,"score_spread":0.3693101446086436,"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."}}