{"id":"W2119298190","doi":"10.1109/vetecf.2008.142","title":"FFT Sign Search with Secondary Code Constraints for GNSS Signal Acquisition","year":2008,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Sign (mathematics); Computer science; Fast Fourier transform; Code (set theory); SIGNAL (programming language); Algorithm; Real-time computing; Electronic engineering; Computer engineering; Telecommunications; Global Positioning System; Engineering; Mathematics; Programming language","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":[0.0005988973,0.0006793982,0.0006855345,0.0006390823,0.0003387669,0.0005337226,0.0004824777,0.0005548886,0.004739371],"category_scores_gemma":[0.009150147,0.0002127782,0.0002501732,0.0007906959,0.0003994421,0.0008598456,0.0006209491,0.0005611187,0.0009456677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223063,"about_ca_system_score_gemma":0.0008362489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816766,"about_ca_topic_score_gemma":0.002274466,"domain_scores_codex":[0.9995888,0.0001496095,0.00002605261,0.00003921096,0.0001568815,0.00003937674],"domain_scores_gemma":[0.9980234,0.001131232,0.000168475,0.0002355622,0.0003717558,0.00006959535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001429681,0.0001695053,0.003894747,0.000173356,0.00005757709,0.0004179,0.000155812,0.1796532,0.08030699,0.02518761,0.003295151,0.7052584],"study_design_scores_gemma":[0.00007745606,0.0001361093,0.001197443,0.00001554237,0.00001248379,0.0002279022,0.00002638426,0.9626181,0.0258457,0.007314448,0.002508287,0.0000201696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04139127,0.000126532,0.9560359,0.00008288623,0.0000324838,0.0000324816,0.00008507083,0.000640062,0.001573339],"genre_scores_gemma":[0.2776411,0.000115623,0.72004,0.00003121815,0.00003984326,0.00008602968,0.000401449,0.00009497695,0.001549798],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004739371,"threshold_uncertainty_score":0.01585478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091428678294492,"score_gpt":0.223973542460209,"score_spread":0.2030592556772641,"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."}}