{"id":"W3179717717","doi":"10.2196/27449","title":"Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Human Genome Research Institute; University of Texas Health Science Center at Houston; National Institute on Aging; National Science Foundation; National Institutes of Health; National Institute of Dental and Craniofacial Research; Cancer Prevention and Research Institute of Texas","keywords":"Contact tracing; Internet privacy; Autonomy; Harm; Scale (ratio); Pandemic; Psychological intervention; Tracing; Computer science; Public relations; Computer security; Coronavirus disease 2019 (COVID-19); Psychology; Political science; Medicine; Nursing","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":[0.03316653,0.00123804,0.0006773537,0.001990901,0.003641901,0.009711709,0.0034081,0.00567964,0.006874913],"category_scores_gemma":[0.08685309,0.0007540247,0.001101197,0.00105942,0.01000138,0.02318174,0.006944203,0.01416161,0.002497101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003202442,"about_ca_system_score_gemma":0.01100503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004233685,"about_ca_topic_score_gemma":0.007921702,"domain_scores_codex":[0.9791905,0.01345571,0.001207405,0.001130349,0.003992982,0.001022963],"domain_scores_gemma":[0.8873315,0.09085628,0.001992449,0.00549019,0.009135072,0.005194499],"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":[0.0001410093,0.0004585837,0.00452479,0.003944425,0.00006220804,0.001157763,0.03855234,0.0006662671,0.001139416,0.0832104,0.1517142,0.7144285],"study_design_scores_gemma":[0.0001109375,0.0005862538,0.003848367,0.01596614,0.0001291592,0.003131384,0.03560215,0.002323089,0.002886873,0.1838418,0.7513656,0.0002082373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02582177,0.05572431,0.08938212,0.7576606,0.006271542,0.0006844514,0.000253818,0.00138946,0.06281191],"genre_scores_gemma":[0.3414008,0.1550155,0.3096168,0.1562009,0.006996248,0.002400717,0.0006235231,0.001157042,0.02658847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03316653,"threshold_uncertainty_score":0.1754035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460790105917585,"score_gpt":0.3630783279529294,"score_spread":0.3184704268937535,"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."}}