{"id":"W2007065460","doi":"10.1155/2008/356267","title":"A Reconfigurable GNSS Acquisition Scheme for Time-Frequency Applications","year":2008,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"GNSS positioning and interference","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Computer science; Block (permutation group theory); Satellite system; sort; Interference (communication); Key (lock); Scheme (mathematics); Real-time computing; GNSS augmentation; Electronic engineering; Telecommunications; Global Positioning System; Engineering","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":[0.0001346597,0.0004158643,0.0002429635,0.0004117072,0.0002910924,0.000325371,0.000644694,0.0003889832,0.002429125],"category_scores_gemma":[0.0003151592,0.0001374386,0.0002044537,0.0003207646,0.0001941213,0.0004233794,0.0004011266,0.0003239466,0.0009516203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593206,"about_ca_system_score_gemma":0.0001834302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005990404,"about_ca_topic_score_gemma":0.0007530744,"domain_scores_codex":[0.9998214,0.00003024035,0.00001117504,0.00003977025,0.00007323699,0.00002422033],"domain_scores_gemma":[0.9998584,0.00001564731,0.00002266408,0.00006124526,0.00002946726,0.00001260818],"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":[0.0006381311,0.0000879271,0.001828051,0.0001363549,0.0000506357,0.0003972384,0.0001390202,0.03338688,0.5044542,0.01522303,0.003257134,0.4404013],"study_design_scores_gemma":[0.0002494888,0.0009758288,0.006989604,0.00006141286,0.0001118907,0.002257701,0.00006675915,0.5193966,0.3928812,0.005526701,0.07136394,0.0001189541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1060136,0.0005942338,0.8747094,0.0002596524,0.0002346207,0.0001829065,0.0001628052,0.003689693,0.01415314],"genre_scores_gemma":[0.7361349,0.0001938442,0.2546597,0.0001188655,0.00007931978,0.0001177325,0.0001629101,0.00006184498,0.008470852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002429125,"threshold_uncertainty_score":0.008126259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464591929387731,"score_gpt":0.2627829373159415,"score_spread":0.2481370180220642,"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."}}