{"id":"W1483626562","doi":"10.1109/pimrc.2014.7136174","title":"Cooperative localization of mobile nodes in NLOS","year":2014,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Non-line-of-sight propagation; Kalman filter; Computer science; Extended Kalman filter; Control theory (sociology); Covariance matrix; Quadratic programming; Covariance intersection; Square root; Mathematical optimization; Algorithm; Mathematics; Wireless; Artificial intelligence; 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":[0.0006647941,0.000794947,0.0008825332,0.0004501143,0.0005747273,0.0006476414,0.00101173,0.0008896582,0.0005816818],"category_scores_gemma":[0.001819057,0.0003887476,0.0005008008,0.0007484005,0.0008462314,0.001403216,0.001441451,0.0005553394,0.0002567613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004826404,"about_ca_system_score_gemma":0.0007041721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498057,"about_ca_topic_score_gemma":0.00431987,"domain_scores_codex":[0.9993275,0.0001602284,0.00002927607,0.0002275334,0.0001755715,0.00007987234],"domain_scores_gemma":[0.9993427,0.0002995043,0.0001143294,0.0000788327,0.0001323933,0.00003223274],"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":[0.0001787554,0.00004608198,0.001931339,0.0001554094,0.00008674801,0.0004801289,0.000410285,0.9031799,0.01391917,0.008772835,0.0007143017,0.07012506],"study_design_scores_gemma":[0.00001380528,0.00005779243,0.0002957602,0.000005334596,0.00001421894,0.00006019132,0.00005812789,0.9933693,0.002155125,0.003084895,0.0008755669,0.000009923308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02332141,0.0002209351,0.9752499,0.00006891657,0.00002266614,0.0000182154,0.0000152199,0.0001525533,0.0009301648],"genre_scores_gemma":[0.8995115,0.0003552815,0.09665348,0.00007985449,0.00005148236,0.0001085037,0.00009517492,0.00003745679,0.003107167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00498057,"threshold_uncertainty_score":0.009903133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004135334955454138,"score_gpt":0.1966851879145738,"score_spread":0.1925498529591197,"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."}}