{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006762068,0.0003993232,0.0004786992,0.0003006304,0.0001730587,0.00142724,0.001277236,0.0001531672,0.0001844435],"category_scores_gemma":[0.000109462,0.0004065975,0.0002611695,0.0002009848,0.00002510096,0.001175706,0.004757131,0.0009000119,0.00001719344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003477018,"about_ca_system_score_gemma":0.0001918794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008072397,"about_ca_topic_score_gemma":0.0003914229,"domain_scores_codex":[0.9972566,0.0001519226,0.0005500154,0.001157961,0.0005018113,0.0003816621],"domain_scores_gemma":[0.9981734,0.00022476,0.0002917057,0.001074716,0.00007555816,0.0001598743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003117605,0.001536912,0.1377622,0.00758005,0.001472,0.0008603366,0.01995339,0.005729312,0.002651221,0.4168754,0.003747425,0.40152],"study_design_scores_gemma":[0.01137366,0.003073307,0.284641,0.008714244,0.000620619,0.0004805455,0.002770269,0.4849787,0.007947569,0.07422364,0.1092805,0.01189586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2209265,0.0004735352,0.761977,0.0009171946,0.001396138,0.0007480658,0.00002178092,0.0008728291,0.01266697],"genre_scores_gemma":[0.9894083,0.00001696467,0.00710892,0.0007179513,0.00006884788,0.00007952139,0.00002279601,0.00003450559,0.002542157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7684819,"threshold_uncertainty_score":0.9998386,"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."}}