{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1833605,0.001501377,0.002571,0.004708223,0.00886511,0.03101278,0.007758128,0.0503865,0.01292439],"category_scores_gemma":[0.356228,0.001411499,0.00341011,0.004810385,0.04938798,0.06369561,0.01293335,0.05755844,0.007649305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01654478,"about_ca_system_score_gemma":0.0569392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02881304,"about_ca_topic_score_gemma":0.01376959,"domain_scores_codex":[0.7973818,0.09405749,0.01566502,0.01423446,0.0671474,0.01151388],"domain_scores_gemma":[0.6074808,0.2490685,0.01675147,0.02797072,0.08307931,0.01564917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004207756,0.0001160133,0.001042542,0.000499264,0.00004331217,0.0001601262,0.004780043,0.0004081568,0.0002361293,0.7128521,0.2233418,0.05647858],"study_design_scores_gemma":[0.00005075284,0.00007191672,0.0009023205,0.002275947,0.00003861743,0.0001797437,0.004669163,0.0003258729,0.0003134227,0.3355383,0.6555079,0.0001260246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008031914,0.007534449,0.006115844,0.9558911,0.01109679,0.00005037705,0.00008298615,0.0001167759,0.01830839],"genre_scores_gemma":[0.05666022,0.01363474,0.02091271,0.8801712,0.0152616,0.0003981347,0.0003776015,0.0003920193,0.01219186],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1833605,"threshold_uncertainty_score":0.9697146,"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."}}