{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003735615,0.001360854,0.000551315,0.001523119,0.000561544,0.0009052119,0.001064956,0.001250064,0.001891308],"category_scores_gemma":[0.01562391,0.0003541758,0.0004240879,0.001490473,0.0006107937,0.001172028,0.0007088718,0.0004369396,0.0002100445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777768,"about_ca_system_score_gemma":0.0007297596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003622761,"about_ca_topic_score_gemma":0.004269017,"domain_scores_codex":[0.9967666,0.002050281,0.0001076674,0.0001641516,0.0006449844,0.0002663199],"domain_scores_gemma":[0.9822073,0.01506954,0.000846558,0.0005189217,0.001040168,0.0003174651],"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":[0.0005308381,0.0001660313,0.002247699,0.0002060725,0.0000487193,0.0001693268,0.00005798026,0.9801846,0.00250837,0.001410758,0.0004346339,0.01203492],"study_design_scores_gemma":[0.0001083769,0.001497759,0.002370865,0.00003537403,0.00005638104,0.000185012,0.0001659632,0.989642,0.003964584,0.001115779,0.0008385715,0.0000193176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213108,0.001065698,0.06437072,0.0004931465,0.0001142169,0.0004922148,0.00075245,0.0004397933,0.01096094],"genre_scores_gemma":[0.9847633,0.0002963544,0.01402095,0.00002162639,0.00001436743,0.00007685172,0.0002272174,0.00002666902,0.0005525385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003735615,"threshold_uncertainty_score":0.01975608,"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."}}