{"id":"W4283360924","doi":"10.36227/techrxiv.19424219","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; Tracing; Computer science; TRACE (psycholinguistics); Wireless; Human–computer interaction; 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":[0.0002693576,0.0006239402,0.0003953256,0.0008630826,0.0004195357,0.0008430017,0.001065045,0.0007936058,0.01031495],"category_scores_gemma":[0.001949157,0.0003299321,0.000244811,0.0008646523,0.0002905783,0.001123247,0.001047054,0.000430864,0.006887795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238074,"about_ca_system_score_gemma":0.0004264985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761447,"about_ca_topic_score_gemma":0.002436844,"domain_scores_codex":[0.9993395,0.00008465638,0.00003705848,0.0001905993,0.0002695937,0.00007852197],"domain_scores_gemma":[0.9992342,0.00009051663,0.00006320736,0.0004483547,0.0001399383,0.00002373341],"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":[0.0005812212,0.0002472906,0.00851443,0.0002102595,0.00007203723,0.00041391,0.0002371144,0.009309882,0.09205711,0.007547278,0.02097421,0.8598353],"study_design_scores_gemma":[0.0001791159,0.0006499666,0.03126865,0.000117196,0.0001666359,0.003125729,0.0003499445,0.5232933,0.2399798,0.01377731,0.1869292,0.0001631745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06765667,0.0004318212,0.8613,0.0003678983,0.0002247642,0.0004024162,0.001569275,0.02218975,0.04585736],"genre_scores_gemma":[0.7515498,0.0003616394,0.18264,0.0003016512,0.00009648764,0.0003685956,0.002299557,0.0004042406,0.06197785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01031495,"threshold_uncertainty_score":0.03450692,"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."}}