{"id":"W2139517656","doi":"10.1109/vetecf.2008.143","title":"Motion Detection of a Real Beacon Using Estimator Correlator","year":2008,"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 Calgary","funders":"","keywords":"Computer science; Multipath propagation; Estimator; Offset (computer science); Real-time computing; Base station; Multipath mitigation; Algorithm; Statistics; Mathematics; 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":[0.0007050215,0.0002754915,0.0004840878,0.0006351625,0.0001381529,0.0003839954,0.0005792346,0.0005313623,0.0005140486],"category_scores_gemma":[0.001981397,0.0002144313,0.0001578672,0.0004934142,0.0002088435,0.0004727147,0.0003972328,0.0003945632,0.0002633141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874331,"about_ca_system_score_gemma":0.0003115061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004717361,"about_ca_topic_score_gemma":0.0006383069,"domain_scores_codex":[0.9994724,0.00009162283,0.00002021909,0.0001127796,0.0002430424,0.00005983474],"domain_scores_gemma":[0.9989516,0.0003573694,0.0002065119,0.0001321705,0.0003164459,0.00003593075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008014908,0.0001113547,0.01082535,0.0002231408,0.0000586153,0.0004073989,0.0002177696,0.01140544,0.6382932,0.004116022,0.001132022,0.3324082],"study_design_scores_gemma":[0.0001496838,0.002238177,0.01801008,0.00006185007,0.0001220607,0.004506695,0.00007823818,0.3899141,0.5712658,0.0009806713,0.01255411,0.0001184965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2458675,0.001371756,0.7489694,0.000159294,0.0001356446,0.00006009993,0.00006466409,0.00118355,0.002188203],"genre_scores_gemma":[0.8339567,0.000391147,0.1634186,0.00008370377,0.00007512172,0.00004995841,0.00009753064,0.00003584931,0.001891362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007050215,"threshold_uncertainty_score":0.003728569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609350117346047,"score_gpt":0.2101542028864505,"score_spread":0.19406070171299,"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."}}