{"id":"W4283808321","doi":"10.1159/000525080","title":"Considerations for Conducting Bring Your Own “Device” (BYOD) Clinical Studies","year":2022,"lang":"en","type":"review","venue":"Digital Biomarkers","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Data collection; The Internet; Health care; Computer science; Bring your own device; Clinical trial; Internet privacy; Medicine; Mobile device; World Wide Web; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00311497,0.0006270534,0.002698263,0.0003362993,0.003186199,0.00007467852,0.000371767,0.0006128235,0.0005631095],"category_scores_gemma":[0.009665865,0.0005545416,0.000967524,0.0005719195,0.0002474109,0.0002756434,0.0004646996,0.001551251,0.0004732213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007125017,"about_ca_system_score_gemma":0.004491999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003108804,"about_ca_topic_score_gemma":0.00004465598,"domain_scores_codex":[0.9922204,0.000914257,0.004067077,0.001157547,0.0003411695,0.001299526],"domain_scores_gemma":[0.9728061,0.02307635,0.002190222,0.0009087503,0.0003373922,0.0006811843],"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":[0.0000160365,0.0000768586,0.000129195,0.03132141,0.000547536,0.000004874421,0.0001539731,9.541278e-8,2.04469e-8,0.001631507,0.08971901,0.8763995],"study_design_scores_gemma":[0.0006397847,0.00009648114,0.000005689078,0.003893131,0.0004818608,0.00001841474,0.003065705,0.000004098817,1.955751e-8,0.0007098357,0.9906432,0.0004417925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001448307,0.9667766,0.00003528895,0.0007704804,0.003705563,0.0145594,0.00230822,0.0003216885,0.01150829],"genre_scores_gemma":[0.00001930025,0.9585269,0.0007745056,0.00145419,0.001202551,0.03451537,0.001621826,0.0001505307,0.001734825],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9009241,"threshold_uncertainty_score":0.9996906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7378789015365975,"score_gpt":0.6301187431315532,"score_spread":0.1077601584050443,"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."}}