{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005723212,0.0007152949,0.0006497583,0.0006143888,0.0003021179,0.0007577296,0.0005330327,0.0007416794,0.0004998777],"category_scores_gemma":[0.001485827,0.0002733396,0.0003682532,0.0007601753,0.0005168999,0.0008576388,0.001260401,0.0005043696,0.0004073527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264879,"about_ca_system_score_gemma":0.0002916794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003439217,"about_ca_topic_score_gemma":0.0004206173,"domain_scores_codex":[0.9990011,0.0002936148,0.00003268955,0.0002048539,0.0003509852,0.0001168562],"domain_scores_gemma":[0.9991704,0.0002899799,0.000138853,0.0002015306,0.0001559989,0.0000431539],"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":[0.001058068,0.000129431,0.01438446,0.0003301328,0.0003138815,0.0006916494,0.0002173601,0.1031146,0.5089626,0.004743256,0.0008931148,0.3651615],"study_design_scores_gemma":[0.0001320122,0.003051501,0.01948997,0.00006021166,0.0002942077,0.005104007,0.00008753405,0.6786885,0.2810797,0.005038084,0.006829105,0.0001451322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3789825,0.0009093564,0.6126451,0.0001685416,0.00004916614,0.00007173005,0.00006106571,0.001081236,0.006031285],"genre_scores_gemma":[0.9561938,0.000184276,0.04271616,0.0000562836,0.00003818842,0.00001949139,0.00004759484,0.00001260176,0.0007316046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007577296,"threshold_uncertainty_score":0.003026783,"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."}}