{"id":"W4283368672","doi":"10.36227/techrxiv.19424219.v1","title":"Wi-Fi And Bluetooth Contact Tracing Without User Intervention","year":2022,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Threat Reduction Agency; Nvidia","keywords":"Bluetooth; Router; Computer science; Wireless; Network packet; Computer network; Tracing; Transmission (telecommunications); Track (disk drive); Real-time computing; Mobile device; Telecommunications; Operating system","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":[0.0003316253,0.0006859308,0.0005415247,0.0009759779,0.0003611381,0.000598211,0.0009557965,0.0006863712,0.02317907],"category_scores_gemma":[0.001538544,0.0003134515,0.0002280683,0.0007727356,0.0001638195,0.0005816574,0.0009558402,0.0003569271,0.01015488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543516,"about_ca_system_score_gemma":0.000307531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245977,"about_ca_topic_score_gemma":0.00141364,"domain_scores_codex":[0.9994491,0.00007702003,0.0000316434,0.000150672,0.0002241029,0.00006742916],"domain_scores_gemma":[0.9992362,0.0001080312,0.0000479973,0.0004273423,0.0001474695,0.00003297035],"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":[0.0009887589,0.0005974879,0.01790914,0.0004369602,0.00008984281,0.0007294587,0.0005168376,0.01060354,0.1654357,0.008383013,0.0474867,0.7468227],"study_design_scores_gemma":[0.0002772402,0.0008825758,0.04389041,0.0001357149,0.0001822289,0.003071087,0.0002303019,0.3765087,0.2232699,0.007008414,0.3443298,0.0002136709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1109203,0.000274386,0.7728806,0.0001753294,0.0002556237,0.001428142,0.004569838,0.05317394,0.05632187],"genre_scores_gemma":[0.6792086,0.0002734335,0.2192115,0.0002626253,0.00008766555,0.001658823,0.005453907,0.00135423,0.09248914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02317907,"threshold_uncertainty_score":0.07754177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907427373606856,"score_gpt":0.3018745083751124,"score_spread":0.2728002346390438,"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."}}