{"id":"W2209818189","doi":"10.1109/upinlbs.2014.7033705","title":"Weak GPS signal acquisition using antenna diversity","year":2014,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multipath propagation; Global Positioning System; GPS signals; False alarm; Computer science; Fading; Assisted GPS; Doppler effect; Real-time computing; SIGNAL (programming language); Electronic engineering; Telecommunications; Engineering; Artificial intelligence; Decoding methods; Physics","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":[0.00004934407,0.00005793279,0.00005619629,0.00003231322,0.000106323,0.00002307499,0.0000637901,0.00003202405,0.0003118254],"category_scores_gemma":[0.000002276842,0.00005729121,0.00002453025,0.00004283202,0.00001318778,0.0001142771,0.00004348268,0.00005505246,0.00009963584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002817726,"about_ca_system_score_gemma":0.000001566868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000496623,"about_ca_topic_score_gemma":0.000002442982,"domain_scores_codex":[0.9996883,0.00001032855,0.00005793803,0.00007029044,0.00006377159,0.0001093858],"domain_scores_gemma":[0.9998552,0.00001145347,0.00000703571,0.00006944963,0.0000219804,0.00003485011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000039501,0.0001211818,0.02664056,0.000170694,0.0001527394,0.000005625729,0.001464598,0.08811399,0.8343056,0.02270933,0.01350861,0.01276753],"study_design_scores_gemma":[0.0001200934,0.00003229909,0.006709581,0.00003888703,0.00001040678,0.000007508647,0.00004475712,0.9836718,0.008675817,0.0003670643,0.0001948636,0.0001269598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5088186,0.00001159797,0.4412057,0.000008718169,0.0001366319,0.00001769278,0.000001312774,0.0002267093,0.04957302],"genre_scores_gemma":[0.9982221,0.000001867683,0.001482704,0.00005007282,0.00006429828,3.730326e-7,0.000003258591,0.000005983019,0.0001693813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8955578,"threshold_uncertainty_score":0.341427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558230946951836,"score_gpt":0.201644687734136,"score_spread":0.1860623782646177,"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."}}