{"id":"W2600954401","doi":"10.1109/vtcfall.2016.7881110","title":"Non-Cooperative Wi-Fi Localization via Monitoring Probe Request Frames","year":2016,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Science and Technology Major Project; National Science Foundation","keywords":"Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00005640583,0.0001563212,0.0001347784,0.00009473943,0.00007644133,0.00003688182,0.0001411171,0.0001578173,0.0001264159],"category_scores_gemma":[0.00004675452,0.0001039795,0.00002837845,0.0002310804,0.00005378454,0.0003067547,0.00003212446,0.00007692253,0.0001840158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009684148,"about_ca_system_score_gemma":0.00001130638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001262086,"about_ca_topic_score_gemma":0.000007870312,"domain_scores_codex":[0.9992804,0.000007907505,0.000197847,0.0001628258,0.0001230876,0.000227951],"domain_scores_gemma":[0.9996029,0.00002576076,0.00001967835,0.0002121806,0.000100889,0.00003855614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004603076,0.0001619474,0.08457338,0.0004345363,0.0003415512,0.00004923977,0.003206767,0.08790182,0.3820943,0.05145993,0.02193536,0.3677952],"study_design_scores_gemma":[0.0003281506,0.00004768287,0.0006051502,0.000113766,0.000008077538,0.000003456531,0.0001876158,0.01985509,0.9718155,0.001147691,0.005576375,0.000311442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008685705,0.00008978407,0.9821736,0.0001172714,0.0004387057,0.0001801181,0.000002845484,0.001706353,0.006605633],"genre_scores_gemma":[0.99625,0.0001472628,0.002631163,0.00003230436,0.0001220941,0.00004129,0.000004110283,0.0000365335,0.0007351917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9875643,"threshold_uncertainty_score":0.4240163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007964101211235019,"score_gpt":0.2170419180675749,"score_spread":0.2090778168563399,"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."}}