{"id":"W2137003714","doi":"10.2514/6.2004-5946","title":"UWB Tracking System Design for Free-Flyers","year":2004,"lang":"en","type":"article","venue":"Space 2004 Conference and Exhibit","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Johnson Space Center; National Aeronautics and Space Administration","keywords":"Computer science; Tracking (education)","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":[0.00009812008,0.0001544647,0.0001748517,0.00008474496,0.0001037268,0.00008151656,0.0001427612,0.0001413609,0.000009203357],"category_scores_gemma":[0.00004212091,0.0001477635,0.00003958058,0.000113152,0.0000538253,0.0001417338,0.00001946943,0.00009427304,0.00001594818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007565844,"about_ca_system_score_gemma":0.00003934458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002927985,"about_ca_topic_score_gemma":0.00003107368,"domain_scores_codex":[0.9993219,0.000006107983,0.0001404737,0.0001679278,0.00008561358,0.0002779414],"domain_scores_gemma":[0.9996311,0.00002841463,0.0000234062,0.0002015326,0.00006333823,0.00005218153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007227603,0.00003914657,0.0005684703,0.001355761,0.0001425703,0.00003992248,0.003003954,0.239629,0.01996981,0.7035777,0.006908271,0.02469306],"study_design_scores_gemma":[0.006731352,0.0005160813,0.0004276412,0.001363085,0.0001624557,0.0000933882,0.0135169,0.1014744,0.8084487,0.05132192,0.01400135,0.001942812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01810579,0.0006288656,0.9756459,0.0003204141,0.0002288019,0.0003663856,0.00001656683,0.00105969,0.003627601],"genre_scores_gemma":[0.9927291,0.00009671997,0.006938771,0.00002393006,0.00004617797,0.00004179442,0.000004985317,0.00002444179,0.00009413909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9746233,"threshold_uncertainty_score":0.6025618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237653745271243,"score_gpt":0.2170048656813305,"score_spread":0.1932394911542062,"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."}}