{"id":"W2117374016","doi":"10.1002/navi.113","title":"Weak GPS Signal Acquisition Using Antenna Diversity","year":2015,"lang":"en","type":"article","venue":"NAVIGATION Journal of the Institute of Navigation","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multipath propagation; Global Positioning System; Fading; GPS signals; Computer science; Diversity gain; Antenna (radio); Antenna diversity; Novelty; Diversity combining; Electronic engineering; Real-time computing; Telecommunications; Assisted GPS; Engineering; Decoding methods","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":[0.0005085364,0.0004589343,0.0004670535,0.0004284363,0.0002964657,0.0009002901,0.0003819855,0.0006330165,0.0006535078],"category_scores_gemma":[0.001743266,0.000227344,0.0002628892,0.0006311234,0.0004917976,0.000952301,0.00112852,0.0004723138,0.0003931813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354792,"about_ca_system_score_gemma":0.0004104438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000519836,"about_ca_topic_score_gemma":0.0006949698,"domain_scores_codex":[0.9992932,0.000213853,0.00002353029,0.0001253892,0.0002458674,0.00009804865],"domain_scores_gemma":[0.9992877,0.0003093354,0.0001122315,0.0001228055,0.0001304387,0.00003759334],"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":[0.001167197,0.0001029938,0.02531352,0.0004049714,0.0002558557,0.0009812327,0.000276533,0.1597273,0.4375046,0.01011263,0.001409667,0.3627436],"study_design_scores_gemma":[0.0001038709,0.001631664,0.02303164,0.0000653571,0.0002099839,0.004223657,0.0001476289,0.7538466,0.2000774,0.01006262,0.006493182,0.0001063559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3713716,0.0008875069,0.6182904,0.0002787054,0.00004508069,0.00006255093,0.00007647428,0.0007827442,0.00820494],"genre_scores_gemma":[0.9710796,0.0001798643,0.02792604,0.0000453338,0.00002317991,0.00001182995,0.00003939202,0.00001401881,0.0006806419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009002901,"threshold_uncertainty_score":0.002689421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005908008669614,"score_gpt":0.2459416476025126,"score_spread":0.2158825675158164,"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."}}