{"id":"W2904206377","doi":"10.2196/11734","title":"RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; University College London; King's College London; National Institute for Health and Care Research; Medical Research Council; European Federation of Pharmaceutical Industries and Associations; Maudsley Charity; South London and Maudsley NHS Foundation Trust","keywords":"mHealth; Scalability; Computer science; Software deployment; Wearable computer; Data collection; Mobile device; Wearable technology; Modular design; Embedded system; World Wide Web; Database; Health care; Operating system","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":[0.001883691,0.001700862,0.00108605,0.001383156,0.0005162091,0.001497181,0.0031243,0.001247172,0.02004613],"category_scores_gemma":[0.004152442,0.0005891232,0.0009707924,0.0006643893,0.0006010855,0.002036492,0.003771112,0.001705935,0.01810264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028004,"about_ca_system_score_gemma":0.001384696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375061,"about_ca_topic_score_gemma":0.001266148,"domain_scores_codex":[0.9988893,0.0001600094,0.00009188885,0.0003032536,0.0004110498,0.0001445479],"domain_scores_gemma":[0.9982584,0.000559568,0.0002461947,0.00026676,0.0003249946,0.0003440631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006566968,0.0007831685,0.007756109,0.004490962,0.0004540257,0.002280094,0.001811104,0.00507568,0.07253075,0.01343702,0.3839378,0.5008762],"study_design_scores_gemma":[0.003166485,0.00239725,0.03683086,0.001469356,0.000573074,0.004108459,0.000575216,0.0738889,0.06146332,0.02276256,0.7917301,0.001034301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02425553,0.004064807,0.4183157,0.002111814,0.0009252322,0.004122303,0.02722861,0.4896225,0.02935347],"genre_scores_gemma":[0.3172372,0.005855508,0.4864894,0.006924417,0.001490337,0.00890035,0.08667179,0.03275105,0.05368002],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02004613,"threshold_uncertainty_score":0.06706101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2033862886764795,"score_gpt":0.5021420687067047,"score_spread":0.2987557800302252,"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."}}