{"id":"W4400276277","doi":"10.1109/wcnc57260.2024.10570788","title":"PoM: RFID Positioning for Real-World Application Using the Power of Mobility","year":2024,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Power (physics); Embedded system","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":[0.0003512998,0.0006778151,0.0004994129,0.0004668817,0.0003990886,0.0005996524,0.001195611,0.0007276974,0.002595854],"category_scores_gemma":[0.0008493812,0.0002274147,0.0003678558,0.0005040456,0.0004559096,0.001103589,0.001617039,0.0006348072,0.001389033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930902,"about_ca_system_score_gemma":0.0004234476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011275,"about_ca_topic_score_gemma":0.0008632956,"domain_scores_codex":[0.9996979,0.00005197841,0.00001789121,0.00007101098,0.0001141053,0.00004722728],"domain_scores_gemma":[0.999774,0.0000439894,0.0000334191,0.00005855403,0.00006385519,0.00002616796],"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":[0.0009281861,0.0001288723,0.004396021,0.0008154759,0.000132355,0.001052789,0.000401949,0.1457538,0.1108185,0.03529248,0.02528406,0.6749955],"study_design_scores_gemma":[0.0001447813,0.000486371,0.001698171,0.00006567317,0.00008140587,0.001177164,0.000128692,0.8748583,0.0500235,0.01217183,0.05907559,0.00008854062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009592583,0.0005989284,0.9796298,0.0002679859,0.0002066807,0.00006079353,0.00008013,0.004932661,0.004630411],"genre_scores_gemma":[0.6974503,0.0009611389,0.2914979,0.0005177677,0.0001554312,0.0001477189,0.0003986369,0.0001461527,0.008724906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002595854,"threshold_uncertainty_score":0.00868398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133022758664361,"score_gpt":0.2724063913252639,"score_spread":0.2591041154588278,"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."}}