{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008052418,0.0001568847,0.0002663372,0.0000669267,0.0002209911,0.0005469472,0.0003615742,0.00008820093,0.00001183964],"category_scores_gemma":[0.0004929918,0.0001101741,0.00006766331,0.0001990863,0.00007973296,0.0009460465,0.000332782,0.0002451024,0.000004968594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007641657,"about_ca_system_score_gemma":0.0005127796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008691184,"about_ca_topic_score_gemma":0.00004473437,"domain_scores_codex":[0.9984719,0.00006452161,0.000548493,0.0001709568,0.0004542438,0.0002899329],"domain_scores_gemma":[0.9977105,0.001501862,0.000176256,0.0003359353,0.00008148383,0.0001939262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001002815,0.00008083978,0.0004710381,0.000539831,0.00008049548,0.00001476038,0.0445777,0.00001341561,0.00007411302,0.2604427,0.0005304854,0.6930743],"study_design_scores_gemma":[0.02544723,0.0007183271,0.01131263,0.001007374,0.000108862,0.0001922219,0.02038875,0.8563801,0.004585926,0.02215086,0.05665655,0.001051205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2705207,0.0001382671,0.6861209,0.03966431,0.0002154487,0.00141544,0.00001453719,0.0002123456,0.001698019],"genre_scores_gemma":[0.9869753,0.00004117203,0.007043003,0.005674124,0.00005473366,0.0001331331,0.00001666695,0.000008852448,0.00005307993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8563666,"threshold_uncertainty_score":0.5274224,"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."}}