{"id":"W2151025945","doi":"10.1109/ccece.2005.1556939","title":"A performance comparison of three localization algorithms","year":2006,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Multilateration; Algorithm; Simplex algorithm; Computer science; FDOA; MATLAB; SIGNAL (programming language); Energy (signal processing); Mathematics; Statistics; Linear programming; Azimuth","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":[0.001788328,0.0009394779,0.0008372531,0.002643419,0.0006104588,0.001727422,0.0009513113,0.001678199,0.00235874],"category_scores_gemma":[0.009121051,0.0002930849,0.0005411774,0.001726697,0.0004705781,0.001691811,0.000911715,0.0004921481,0.0009298779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008921781,"about_ca_system_score_gemma":0.001037963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618959,"about_ca_topic_score_gemma":0.002255633,"domain_scores_codex":[0.9983953,0.0003634223,0.0001468796,0.0002903181,0.0006003359,0.0002038234],"domain_scores_gemma":[0.9958845,0.002037352,0.0002236141,0.0003343227,0.001388995,0.0001311685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003272533,0.0003039227,0.007789216,0.0004254526,0.0002294681,0.0001531537,0.0002207272,0.2353505,0.02490422,0.005555726,0.001963721,0.7198313],"study_design_scores_gemma":[0.0001879863,0.0007078188,0.00394863,0.00003089194,0.00009043842,0.0004625488,0.0001623922,0.9501914,0.03989371,0.001565135,0.002675652,0.00008340935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2155609,0.001686094,0.7663024,0.0003606897,0.0002152857,0.0001944141,0.0002798933,0.006850527,0.008549816],"genre_scores_gemma":[0.6622466,0.0006227128,0.332993,0.0001089613,0.00004743336,0.000134819,0.0005406442,0.0002414791,0.003064277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003618959,"threshold_uncertainty_score":0.009457707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994319067571715,"score_gpt":0.2565194767319383,"score_spread":0.2365762860562212,"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."}}