{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004765305,0.0003037194,0.0006552085,0.000542432,0.002079061,0.0000249819,0.0001118469,0.0008369042,0.00003745894],"category_scores_gemma":[0.0002713919,0.000250228,0.00002345796,0.0008799151,0.0003354399,0.0001275177,0.0001314026,0.002224752,0.00005254324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000549642,"about_ca_system_score_gemma":0.003105255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006247874,"about_ca_topic_score_gemma":0.00652289,"domain_scores_codex":[0.9945071,0.001322614,0.001310087,0.0008411918,0.0004186231,0.001600389],"domain_scores_gemma":[0.9949031,0.0009398978,0.0002502686,0.0004689678,0.0006146249,0.002823154],"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":[0.001052083,0.0006299681,0.1514264,0.004214915,0.00001387643,0.00001248684,0.03543482,0.000001083965,0.000007896148,0.03222848,0.06460144,0.7103766],"study_design_scores_gemma":[0.002947574,0.001307459,0.06066293,0.0001446743,0.0000123084,0.00002416234,0.01137856,0.0001789791,6.150372e-7,0.003801469,0.919367,0.000174246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668636,0.04720715,0.00001177871,0.07396736,0.0008392317,0.007583551,0.0001006219,0.0002032374,0.003223469],"genre_scores_gemma":[0.5064099,0.437464,0.002742779,0.01398559,0.004564996,0.0319769,0.0001225093,0.0001101979,0.002623196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8547656,"threshold_uncertainty_score":0.999995,"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."}}