{"id":"W2158435081","doi":"10.2196/mhealth.4538","title":"Mobile Phones in Research and Treatment: Ethical Guidelines and Future Directions","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"mHealth; Internet privacy; Anonymity; Harm; Mobile technology; Variety (cybernetics); Informed consent; Computer science; Mobile device; Risk analysis (engineering); Data science; Business; Psychology; Medicine; Computer security; Psychological intervention; World Wide Web; Nursing; Alternative 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3551008,0.00211435,0.00346462,0.004049027,0.01101617,0.02368582,0.008729006,0.04814894,0.01099694],"category_scores_gemma":[0.4355759,0.002289175,0.003980627,0.005521876,0.03100938,0.02214407,0.01299688,0.05185959,0.01165008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006895457,"about_ca_system_score_gemma":0.06332292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004445589,"about_ca_topic_score_gemma":0.008363874,"domain_scores_codex":[0.5791021,0.3260618,0.04425819,0.006833649,0.03758552,0.006158677],"domain_scores_gemma":[0.336397,0.4936602,0.01928334,0.04954971,0.08330943,0.01780039],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002717673,0.0005564204,0.001294807,0.003797201,0.0000954955,0.001127932,0.01023006,0.0006123088,0.0007430104,0.2566412,0.485594,0.2390357],"study_design_scores_gemma":[0.0002153639,0.0002135808,0.0008012927,0.02052091,0.00007093217,0.001594869,0.004777103,0.0009849136,0.0004540622,0.2039543,0.7662506,0.0001621235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0008721775,0.03379858,0.03798357,0.8624946,0.02006121,0.003530793,0.0003643354,0.0003651525,0.04052957],"genre_scores_gemma":[0.0203156,0.04958781,0.179331,0.6765097,0.02300855,0.03029361,0.0007151385,0.0005408279,0.01969771],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6448992,"threshold_uncertainty_score":0.7952756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3859702528242199,"score_gpt":0.5963624057209267,"score_spread":0.2103921528967068,"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."}}