{"id":"W3124594531","doi":"10.1101/2021.01.21.21250209","title":"Listening to Bluetooth Beacons for Epidemic Risk Mitigation","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Beacon; Contact tracing; Computer science; Bluetooth; Interoperability; Tracing; Isolation (microbiology); Computer security; Coronavirus disease 2019 (COVID-19); Real-time computing; Telecommunications; Wireless; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001409288,0.000451909,0.0006005054,0.0007807033,0.0004703503,0.001183649,0.001039443,0.0009112335,0.002634532],"category_scores_gemma":[0.006187554,0.0003269905,0.0003025142,0.0004601228,0.000478868,0.001105188,0.001627032,0.0007089735,0.0007687485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000330467,"about_ca_system_score_gemma":0.0004018937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000891963,"about_ca_topic_score_gemma":0.0006962187,"domain_scores_codex":[0.9990683,0.0004425563,0.00003904311,0.000142099,0.0002257976,0.00008218847],"domain_scores_gemma":[0.996527,0.002064986,0.0003633056,0.0005752958,0.0003081312,0.0001612948],"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":[0.002154033,0.0006670063,0.02872682,0.0007986935,0.0002815038,0.0007288934,0.002022056,0.1815832,0.129451,0.02560229,0.01681698,0.6111676],"study_design_scores_gemma":[0.0001837379,0.0008953468,0.006092305,0.00009373883,0.0001832307,0.0005420136,0.0003741549,0.9173076,0.0381641,0.01561495,0.02045694,0.00009190998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1850209,0.001553333,0.792275,0.001487622,0.0003766287,0.000227996,0.0002190288,0.00622509,0.01261432],"genre_scores_gemma":[0.9397823,0.0003740251,0.05602951,0.0003146713,0.0001005236,0.00007290302,0.0001172287,0.00009575722,0.003113111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002634532,"threshold_uncertainty_score":0.008813381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134172142556371,"score_gpt":0.3057884593360032,"score_spread":0.2744467379104396,"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."}}