{"id":"W4251268369","doi":"10.23919/fusion49465.2021.9626858","title":"Observability Analysis of Multipath Assisted Target Tracking with Unknown Reflection Surface","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 24th International Conference on Information Fusion (FUSION)","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Reflection (computer programming); Observability; Initialization; Multipath propagation; Tracking (education); Computer science; Surface (topology); Mathematics; Telecommunications; Geometry","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":[0.001680136,0.001047854,0.0008223816,0.0006772191,0.0003860916,0.0007924031,0.001019957,0.0008551087,0.001278664],"category_scores_gemma":[0.008457299,0.0005008416,0.0008505852,0.0006598611,0.00120595,0.001676494,0.001605727,0.001380472,0.0001754536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025061,"about_ca_system_score_gemma":0.001117443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007090941,"about_ca_topic_score_gemma":0.002490473,"domain_scores_codex":[0.9989801,0.0001710513,0.00004256485,0.0002451696,0.0004013863,0.00015966],"domain_scores_gemma":[0.9956465,0.00256531,0.0007680057,0.0002252699,0.0006909323,0.0001039242],"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":[0.0001854136,0.00003190562,0.003300222,0.0001539133,0.00008193179,0.0003492019,0.0002460729,0.9129577,0.01075297,0.0457604,0.0004824659,0.02569771],"study_design_scores_gemma":[0.000004348363,0.00002963044,0.000716775,0.000005615825,0.000009552092,0.00004248572,0.00001304847,0.9926323,0.000690181,0.005745495,0.00009913862,0.00001126751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04401385,0.0002051921,0.9536036,0.0001628272,0.00001556951,0.0000172638,0.00005846297,0.0001362434,0.001786937],"genre_scores_gemma":[0.977356,0.000365009,0.01971767,0.00005889498,0.00003722524,0.00005883766,0.0001692844,0.00003731851,0.002199698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007090941,"threshold_uncertainty_score":0.0140993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036070243080499,"score_gpt":0.2711616907111449,"score_spread":0.2350914476306459,"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."}}