{"id":"W3121550364","doi":"10.3390/electronics10091093","title":"Digital Contact Tracing: Large-Scale Geolocation Data as an Alternative to Bluetooth-Based Apps Failure","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"H2020 LEIT Information and Communication Technologies; European Social Fund; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Banco Bilbao Vizcaya Argentaria; Fundación BBVA; Ministerio de Ciencia e Innovación; Ministerio de Educación, Cultura y Deporte; Natural Sciences and Engineering Research Council of Canada; European Commission; Comunidad de Madrid","keywords":"Geolocation; Bluetooth; Computer science; Scale (ratio); Tracing; Computer graphics (images); World Wide Web; Cartography; Geography; Telecommunications; Operating system; Wireless","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354461,0.000582133,0.0005210333,0.001157421,0.0007545688,0.001947257,0.00192503,0.001698527,0.004251937],"category_scores_gemma":[0.005748442,0.0002089414,0.0003016467,0.001097935,0.001204018,0.003775695,0.004016961,0.001080291,0.002079075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296985,"about_ca_system_score_gemma":0.0004356002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007390062,"about_ca_topic_score_gemma":0.0008120706,"domain_scores_codex":[0.9984816,0.0004690679,0.00008079813,0.0002299504,0.0005526439,0.0001859796],"domain_scores_gemma":[0.9945866,0.001346823,0.0004988693,0.002829824,0.0005080914,0.0002298039],"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":[0.001072013,0.0003713145,0.01577703,0.0006110712,0.0001618038,0.002061111,0.00226618,0.01462125,0.04038942,0.1122855,0.04963111,0.7607521],"study_design_scores_gemma":[0.0002986019,0.001688463,0.01703447,0.0006940541,0.0003366568,0.008137006,0.004011032,0.3321922,0.1170075,0.1362834,0.382041,0.0002756792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1382232,0.002402673,0.8005766,0.006131148,0.001056119,0.0004342121,0.0007113364,0.00690092,0.04356375],"genre_scores_gemma":[0.9444877,0.000740742,0.04060045,0.000868991,0.0001918289,0.0001026896,0.0004223097,0.000134316,0.01245097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004251937,"threshold_uncertainty_score":0.01422411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146395323392394,"score_gpt":0.2877381812137165,"score_spread":0.2662742279797926,"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."}}