{"id":"W2116773410","doi":"10.1109/vetec.1997.600371","title":"Field tests of a cellular telephone positioning system","year":2002,"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 Calgary","funders":"","keywords":"Trilateration; Position (finance); Computer science; Identification (biology); Time of arrival; Field (mathematics); SIGNAL (programming language); Process (computing); Real-time computing; Telecommunications; Engineering; Mathematics; Wireless","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":[0.00002116259,0.00005510651,0.00008398348,0.00006417046,0.00002206334,0.000007512964,0.00006816825,0.0000663653,0.0002418646],"category_scores_gemma":[0.0000139381,0.00005120374,0.00002497314,0.00014779,0.000009799073,0.00003902794,0.00001058707,0.00004782253,0.00005857904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001749951,"about_ca_system_score_gemma":7.746532e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001028421,"about_ca_topic_score_gemma":0.000002069635,"domain_scores_codex":[0.9996655,0.000003142034,0.0001264857,0.00005073249,0.00006180082,0.00009233519],"domain_scores_gemma":[0.9998103,0.00002420815,0.00001197792,0.0001192941,0.00002115095,0.00001302755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001293871,0.0001393094,0.006812309,0.002435891,0.000233392,0.00010983,0.001902835,0.04168344,0.7042933,0.1293256,0.0636842,0.04936703],"study_design_scores_gemma":[0.0001330996,0.00004018215,0.00007133283,0.0000587283,0.000006581945,0.000007387827,0.0002986575,0.1142083,0.8845955,0.00004168427,0.0004364727,0.0001020364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2362733,0.001184706,0.513339,0.0001051891,0.0004054399,0.0001961703,0.000004450515,0.003750115,0.2447416],"genre_scores_gemma":[0.9983872,0.00001422693,0.001304217,0.00001578719,0.000016053,0.000004203011,0.000001081319,0.000008953154,0.0002483412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7621138,"threshold_uncertainty_score":0.2648248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006126282577780627,"score_gpt":0.1656488007979452,"score_spread":0.1595225182201646,"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."}}