{"id":"W4229548260","doi":"10.1007/978-3-319-23519-6_629-2","title":"Indoor Positioning with Wireless Local Area Networks (WLAN)","year":2016,"lang":"en","type":"book-chapter","venue":"Encyclopedia of GIS","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wi-Fi; Computer network; Computer science; Local area network; Wireless network; Wireless; Wireless lan; Geography; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000216786,0.00121644,0.0006773072,0.0009806757,0.0003819285,0.001833618,0.001126286,0.0009376737,0.02418822],"category_scores_gemma":[0.0005851388,0.000411377,0.0004194525,0.003095768,0.0004424099,0.00190822,0.001281181,0.001065901,0.02358834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025131,"about_ca_system_score_gemma":0.0004188502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105498,"about_ca_topic_score_gemma":0.001349398,"domain_scores_codex":[0.9995846,0.00006174338,0.00002367867,0.00009937559,0.0001973916,0.00003314019],"domain_scores_gemma":[0.9998529,0.00004160722,0.00001422495,0.0000331209,0.00004930079,0.000008776482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004229896,0.00002960554,0.0003967616,0.0006565536,0.00002336264,0.000183194,0.0001782073,0.004685204,0.007086811,0.03475128,0.05994611,0.8920206],"study_design_scores_gemma":[0.000006945349,0.00010576,0.0008276121,0.0003662035,0.00004666693,0.0012676,0.0001510099,0.00721493,0.005393979,0.01320279,0.9713767,0.00003988187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002892711,0.0631681,0.5588192,0.0009614584,0.002843996,0.00008966889,0.0005572059,0.003865486,0.3668022],"genre_scores_gemma":[0.07685019,0.1213863,0.2168212,0.001163875,0.002896449,0.0001760526,0.001793928,0.0007940193,0.578118],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02418822,"threshold_uncertainty_score":0.08091766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004774676568567232,"score_gpt":0.1710375462173228,"score_spread":0.1662628696487556,"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."}}