{"id":"W4288084984","doi":"10.36227/techrxiv.19424219.v2","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; Wireless; TRACE (psycholinguistics); Human–computer interaction; Embedded system; Computer network; 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":[0.0003366659,0.0006993418,0.0004688205,0.0009753397,0.0004121696,0.0008151765,0.001134256,0.0008288062,0.008178537],"category_scores_gemma":[0.002183921,0.0003336078,0.0002464757,0.0008763616,0.0002860975,0.001123171,0.001152797,0.0004652501,0.005230702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194503,"about_ca_system_score_gemma":0.000384421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081323,"about_ca_topic_score_gemma":0.001532994,"domain_scores_codex":[0.9992054,0.0001109899,0.00004859216,0.0002268783,0.000317511,0.00009063989],"domain_scores_gemma":[0.9990239,0.0001288804,0.00009880064,0.0005392884,0.0001770855,0.00003199924],"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":[0.0007435189,0.0003186543,0.01245564,0.0003268846,0.0001029011,0.0005391545,0.0003800716,0.008345942,0.107636,0.006685164,0.0179,0.844566],"study_design_scores_gemma":[0.0002342495,0.0009133914,0.04327027,0.0001643934,0.0002588917,0.004652659,0.0003977329,0.472237,0.2820314,0.01259627,0.1830342,0.0002096299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08096829,0.0004654136,0.8610175,0.0002767321,0.0001970099,0.0005009228,0.001413387,0.02264698,0.03251381],"genre_scores_gemma":[0.7998001,0.0003187803,0.1586553,0.0002862842,0.00009278346,0.0004519768,0.00161689,0.0003777755,0.03840007],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008178537,"threshold_uncertainty_score":0.0273599,"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."}}