{"id":"W1974230855","doi":"10.1109/jsyst.2011.2173622","title":"Robust Positioning Systems in the Presence of Outliers Under Weak GPS Signal Conditions","year":2011,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Water Systems and Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Outlier; Global Positioning System; Robustness (evolution); Ranging; Computer science; Anomaly detection; GPS signals; Algorithm; Assisted GPS; Real-time computing; Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007177364,0.0001401963,0.0002382751,0.000198439,0.0001325742,0.0001373255,0.0002545932,0.0000959025,0.00001970849],"category_scores_gemma":[0.000006439819,0.0001033486,0.00006616477,0.0002165153,0.000036571,0.000329302,0.000006647143,0.0002788939,0.00001246407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009439879,"about_ca_system_score_gemma":0.0000285522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003997477,"about_ca_topic_score_gemma":0.00005798597,"domain_scores_codex":[0.9984699,0.0002335281,0.0006392581,0.0001019966,0.000308708,0.0002466397],"domain_scores_gemma":[0.9994053,0.00005633104,0.0001749856,0.0001748119,0.0001191857,0.00006943911],"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":[0.000003639673,0.00001893405,0.0007947722,0.0001216988,0.00005132554,0.00001789627,0.002644904,0.9909453,0.0007834697,0.0007923144,0.003821716,0.000003985385],"study_design_scores_gemma":[0.001540901,0.0002180063,0.009487322,0.003252244,0.0001152032,0.004365307,0.01975682,0.9584886,0.001016864,0.0002321332,0.0008352782,0.0006913227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2888246,0.003625711,0.6600374,0.00004969006,0.01180103,0.00133112,0.00006459773,0.0001857879,0.03408008],"genre_scores_gemma":[0.999261,0.00002143702,0.0001137527,0.000004627543,0.0003538756,0.00003163102,0.000003621045,0.00002460419,0.0001854713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7104364,"threshold_uncertainty_score":0.4214435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905575105447048,"score_gpt":0.2102867206286351,"score_spread":0.1712309695741646,"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."}}