{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001530957,0.0006048293,0.0003589446,0.0006537588,0.0007309713,0.0004162718,0.0007665133,0.001141968,0.002778326],"category_scores_gemma":[0.004807954,0.0002485875,0.0002150101,0.0005097691,0.0005052521,0.0007808115,0.0006863971,0.0005378079,0.001068915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004059353,"about_ca_system_score_gemma":0.0004234241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003070123,"about_ca_topic_score_gemma":0.00196877,"domain_scores_codex":[0.9980289,0.0007301487,0.0001098121,0.0002796498,0.0006504843,0.0002009551],"domain_scores_gemma":[0.9935661,0.002662791,0.0002547959,0.0005297833,0.002599078,0.0003874858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01349115,0.005060884,0.06590632,0.002391501,0.000568222,0.004679095,0.005431512,0.07895086,0.4937659,0.004337165,0.01527862,0.3101389],"study_design_scores_gemma":[0.003722474,0.1116524,0.1070915,0.0003956446,0.0006421432,0.006036408,0.003787419,0.1371179,0.5738867,0.002715933,0.05260956,0.0003420416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622517,0.0002115586,0.03063022,0.0004071345,0.0001883668,0.0003351638,0.0006320555,0.001039166,0.004304547],"genre_scores_gemma":[0.9905339,0.00008609534,0.006002937,0.0001692217,0.00003300698,0.00008956325,0.0006249837,0.00004856215,0.002411726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003070123,"threshold_uncertainty_score":0.009294391,"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."}}