{"id":"W2119921278","doi":"10.1109/music.2012.42","title":"Evaluation of Base Station Placement Scenarios for Mobile Node Localization","year":2012,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Base station; Computer science; Offset (computer science); Global Positioning System; Range (aeronautics); Real-time computing; Wireless; Node (physics); Computer network; Telecommunications; Engineering","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":[0.0006555132,0.00007251664,0.00007786906,0.00009363992,0.00003208482,0.000006760263,0.00004372784,0.00006473566,0.0001970867],"category_scores_gemma":[0.0001006592,0.00006873364,0.00002492264,0.0001324336,0.0000139554,0.0001737194,0.000007626492,0.00002293202,0.000009826747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197055,"about_ca_system_score_gemma":0.00001755254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005985127,"about_ca_topic_score_gemma":0.000007178803,"domain_scores_codex":[0.9993006,0.00001984629,0.0001941325,0.00006085636,0.00028068,0.0001438695],"domain_scores_gemma":[0.9995095,0.00002889235,0.00003308005,0.0001164743,0.0002898512,0.00002224178],"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":[0.000004729132,0.0000322054,0.0007759486,0.00006700715,0.00001746639,6.30326e-9,0.0003347265,0.9796768,0.001845263,0.001284607,0.002219735,0.01374149],"study_design_scores_gemma":[0.0004655321,0.00002650867,0.00009026918,0.000008496975,0.00005277179,1.672646e-7,0.0005481054,0.8444597,0.1526723,0.0001838622,0.00141525,0.00007706702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05223135,0.0002349691,0.9451673,0.000009040581,0.000233497,0.0007043456,0.00001629454,0.0002877934,0.001115439],"genre_scores_gemma":[0.9959625,0.0000180009,0.003563027,0.0000236654,0.0000288425,0.000258439,0.0001056339,0.00001578025,0.00002410519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9437311,"threshold_uncertainty_score":0.2802877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884540884024522,"score_gpt":0.2789537621944688,"score_spread":0.2501083533542235,"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."}}