{"id":"W2184629929","doi":"","title":"Modelling Framework for Radio Frequency Spatial Measurement","year":2006,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Antenna (radio); Radio frequency; Radio propagation; Computer science; Electronic engineering; Frequency domain; Finite element method; Set (abstract data type); Engineering; Simulation; Algorithm; Telecommunications; Computer vision","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001839911,0.001243631,0.001364643,0.001000224,0.0004994948,0.002657527,0.003068982,0.002112731,0.007527463],"category_scores_gemma":[0.004501024,0.0008519036,0.001999211,0.001487888,0.0008915574,0.002221289,0.002312158,0.002269259,0.00432453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063099,"about_ca_system_score_gemma":0.001558652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012422,"about_ca_topic_score_gemma":0.008328005,"domain_scores_codex":[0.9984509,0.0006100896,0.0001015916,0.0002768854,0.0004437781,0.0001167494],"domain_scores_gemma":[0.9985499,0.0006817972,0.0001389756,0.0001909518,0.0003791667,0.00005921065],"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":[0.00006223951,0.00004059364,0.0004822487,0.0002259145,0.0001298765,0.0002106737,0.0001709677,0.6661857,0.001672316,0.2755637,0.005090993,0.05016479],"study_design_scores_gemma":[0.000008683227,0.00002234588,0.00009569772,0.00003249189,0.00002488704,0.00007028918,0.0000263029,0.9257722,0.0003120119,0.06139389,0.01222544,0.00001576942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0003712589,0.0002613905,0.996905,0.0001362723,0.00006125012,0.00001785381,0.0001317401,0.0002188941,0.00189631],"genre_scores_gemma":[0.2836086,0.003812706,0.6666044,0.0004682784,0.0005441491,0.0008004704,0.002621365,0.0007122101,0.04082778],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.012422,"threshold_uncertainty_score":0.02518189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150411670840372,"score_gpt":0.1874799543496162,"score_spread":0.172438787265579,"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."}}