{"id":"W2016103147","doi":"10.1145/2533810.2533816","title":"Quantitative comparison of indoor positioning on different densities of WiFi arrays in a single environment","year":2013,"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 Saskatchewan","funders":"Canada Foundation for Innovation; University of Saskatchewan","keywords":"Hybrid positioning system; Global Positioning System; Computer science; Bluetooth; Positioning technology; Wireless; Location-based service; Positioning system; Mobile device; Real-time computing; Indoor positioning system; Consistency (knowledge bases); Embedded system; Point (geometry); Telecommunications; Artificial intelligence; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002396364,0.00009250779,0.0002134544,0.0001890302,0.00001355419,0.000007059371,0.00006265492,0.00005811874,0.0001012756],"category_scores_gemma":[0.00001434247,0.00007932878,0.00002871521,0.00008846021,0.00006438846,0.0000572633,0.00001728469,0.00007464986,0.00001617281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005598854,"about_ca_system_score_gemma":0.000001820574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004039641,"about_ca_topic_score_gemma":0.0000124842,"domain_scores_codex":[0.9994209,0.00001380604,0.0002735897,0.00007339707,0.0001097316,0.0001086231],"domain_scores_gemma":[0.9997531,0.00006737211,0.00004458816,0.0001052197,0.00001717048,0.00001258022],"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":[0.00004312477,0.0005991544,0.041416,0.0002564193,0.00009146293,0.000001300551,0.007380635,0.3861501,0.489743,0.06858788,0.0005175348,0.005213396],"study_design_scores_gemma":[0.000243477,0.0002769863,0.01637768,0.00008270647,0.000004809363,2.370428e-7,0.004574306,0.06331735,0.9142798,0.0007284499,0.000008413564,0.0001057951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527923,0.0000708342,0.04404999,0.00002681869,0.00003613905,0.0001379967,0.000002942148,0.00008138732,0.002801548],"genre_scores_gemma":[0.9972737,0.00001177365,0.002640826,0.000007937088,0.000002599732,0.00001591994,0.00000548191,0.000009917509,0.00003177942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4245368,"threshold_uncertainty_score":0.3234934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002964862913994,"score_gpt":0.2264132108783586,"score_spread":0.2063835622492187,"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."}}