{"id":"W3015578022","doi":"10.1007/s10676-020-09572-w","title":"Give more data, awareness and control to individual citizens, and they will help COVID-19 containment","year":2021,"lang":"en","type":"preprint","venue":"Ethics and Information Technology","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Università di Pisa; European Commission","keywords":"Contact tracing; Location data; Computer science; Tracing; Internet privacy; Computer security; Order (exchange); Coronavirus disease 2019 (COVID-19); Data collection; Control (management); Business; Infectious disease (medical specialty); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001498503,0.0003117279,0.0004618727,0.0006120992,0.0003959236,0.001256683,0.00117399,0.0009308322,0.000002934071],"category_scores_gemma":[0.002709983,0.0003141039,0.00002609893,0.0002242555,0.0002166817,0.002477357,0.007328144,0.001701629,0.000002667341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290535,"about_ca_system_score_gemma":0.001144742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004023151,"about_ca_topic_score_gemma":0.0002077219,"domain_scores_codex":[0.9979663,0.00009781996,0.0005599283,0.0006276928,0.0004374988,0.0003107316],"domain_scores_gemma":[0.9972573,0.0007522022,0.0003185863,0.001142429,0.0002803076,0.0002491958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000101082,0.00008517664,0.01685422,0.004156466,0.0005746977,0.0001118122,0.103084,0.001144599,0.000144263,0.6788248,0.0008768989,0.194042],"study_design_scores_gemma":[0.01617245,0.002083928,0.04209565,0.003352492,0.000517587,0.001274422,0.05622335,0.1994346,0.001778229,0.2951114,0.3747882,0.007167622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07359208,0.0008833598,0.8044919,0.1185901,0.0003158594,0.0009738408,0.0006311941,0.0004187473,0.0001029265],"genre_scores_gemma":[0.9687168,0.0006511945,0.004662145,0.02555402,0.00002100934,0.00007889236,0.0003013357,0.000008932786,0.000005701749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8951247,"threshold_uncertainty_score":0.9999311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05212799996597137,"score_gpt":0.3382480121984986,"score_spread":0.2861200122325272,"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."}}