{"id":"W2120866838","doi":"10.2196/mhealth.3918","title":"Can Standards and Regulations Keep Up With Health Technology?","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Usability; Computer science; Phone; Mobile phone; Health care; Health technology; Mobile device; Mobile technology; Risk analysis (engineering); Emerging technologies; Internet privacy; Data science; Business; Human–computer interaction; Telecommunications; World Wide Web","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":[0.003497545,0.000443502,0.0009199354,0.000614545,0.003212305,0.00002567964,0.0002144834,0.0004686595,0.00004750656],"category_scores_gemma":[0.00028977,0.0003719664,0.00002656717,0.001464312,0.0004389471,0.0001752638,0.0001548492,0.001500847,0.00003210615],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202757,"about_ca_system_score_gemma":0.01773818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305831,"about_ca_topic_score_gemma":0.005157464,"domain_scores_codex":[0.9939977,0.0006518277,0.001483552,0.0009644621,0.0007429591,0.002159533],"domain_scores_gemma":[0.9925787,0.000295363,0.0009266828,0.0008438266,0.00101787,0.004337521],"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":[0.001499705,0.0003488732,0.2103349,0.01143273,0.00004712541,0.000009830787,0.01960963,0.000008647336,0.000003188828,0.2399893,0.1680491,0.348667],"study_design_scores_gemma":[0.009845358,0.002827621,0.1126423,0.000857864,0.00007683708,0.000136806,0.02389567,0.0003572775,0.000001982625,0.01464776,0.8339609,0.0007496634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6073398,0.01632568,0.001877675,0.3487927,0.001210449,0.01553308,0.00107476,0.001427948,0.006417923],"genre_scores_gemma":[0.9614481,0.004915984,0.004111947,0.01979828,0.0005256132,0.00717081,0.0001851986,0.0001148371,0.00172919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6659119,"threshold_uncertainty_score":0.9998732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08620018887383,"score_gpt":0.4754644009308239,"score_spread":0.3892642120569939,"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."}}