{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001090691,0.0003416769,0.0004901076,0.0002542031,0.0001729864,0.0008774544,0.001497075,0.0002201321,0.000005253195],"category_scores_gemma":[0.00299122,0.0003812577,0.0003517943,0.0003598074,0.00002303139,0.0004961624,0.001826472,0.0005918906,0.00002700008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574957,"about_ca_system_score_gemma":0.0005191264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001890406,"about_ca_topic_score_gemma":0.0002441873,"domain_scores_codex":[0.9971988,0.0001530657,0.0005756054,0.001234642,0.0003551946,0.0004827318],"domain_scores_gemma":[0.9964837,0.001232804,0.000337444,0.001396546,0.0002900818,0.0002594428],"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":[0.0001080083,0.0005093805,0.3059874,0.005578049,0.001154573,0.0004408571,0.0410344,0.1144273,0.0343945,0.03787511,0.005260521,0.4532299],"study_design_scores_gemma":[0.002003464,0.000505316,0.1532946,0.006378193,0.0004386592,0.00005268748,0.0004391232,0.7003395,0.0438337,0.04616174,0.04149247,0.005060607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3242942,0.0002024486,0.6711506,0.001991911,0.001096295,0.0005925585,0.000032575,0.0002771035,0.0003622973],"genre_scores_gemma":[0.9126375,0.0000139624,0.08498528,0.001509739,0.0002461595,0.0002644185,0.00004229528,0.00003824062,0.0002623617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5883433,"threshold_uncertainty_score":0.9998639,"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."}}