{"id":"W7021047740","doi":"","title":"Network-based RF localization in adverse propagation environments","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Non-line-of-sight propagation; Global Positioning System; Base station; Kalman filter; Time of arrival; Wireless; Filter (signal processing); RSS; Angle of arrival; Radio propagation","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":[0.0006279142,0.0006864896,0.0006216615,0.0004926879,0.0003149303,0.0006743293,0.0008265363,0.0006782299,0.0007349527],"category_scores_gemma":[0.001989981,0.0002549245,0.0004652133,0.0005743511,0.0008156876,0.001234908,0.001389306,0.0004912014,0.0004564105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004356864,"about_ca_system_score_gemma":0.0004464045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002875637,"about_ca_topic_score_gemma":0.001910552,"domain_scores_codex":[0.9994887,0.0001324289,0.00002144708,0.0001554473,0.0001524643,0.00004945312],"domain_scores_gemma":[0.9993266,0.0003245153,0.0001396112,0.00006881769,0.0001231356,0.00001727412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000528699,0.00001808421,0.001488446,0.0001497271,0.00003126964,0.0002142434,0.0001411546,0.9235435,0.01175398,0.01417053,0.0007988368,0.04763746],"study_design_scores_gemma":[0.000008588693,0.00006564159,0.0008041594,0.00001667448,0.0000148077,0.0001675437,0.00005229697,0.9864098,0.003505965,0.005963848,0.002974353,0.00001619593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01542125,0.0004208107,0.9815561,0.0001005707,0.00003162094,0.00002313651,0.00003571066,0.0002102446,0.002200593],"genre_scores_gemma":[0.7881518,0.003226439,0.2004822,0.0001071567,0.0001286723,0.0001593384,0.0002288287,0.00008607313,0.00742941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002875637,"threshold_uncertainty_score":0.005717754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146452501313178,"score_gpt":0.2123540834197217,"score_spread":0.2008895584065899,"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."}}