{"id":"W2084228889","doi":"10.1109/plans.2010.5507318","title":"Collaborative acquisition of weak GPS signals","year":2010,"lang":"en","type":"article","venue":"IEEE/ION Position, Location and Navigation Symposium","topic":"GNSS positioning and interference","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; GPS signals; False alarm; Carrier-to-noise ratio; Code (set theory); Doppler effect; Computer science; SIGNAL (programming language); Noise (video); Assisted GPS; Signal-to-noise ratio (imaging); Electronic engineering; Telecommunications; Physics; Engineering; Artificial intelligence","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":[0.0002058083,0.0001782948,0.0001793842,0.0001637621,0.0001575517,0.00008010834,0.00009095161,0.0001699361,0.00006695923],"category_scores_gemma":[0.00001005748,0.0001932388,0.00003760824,0.0004753015,0.0001128234,0.0004974408,0.000008746084,0.0001997498,0.00004609612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004046819,"about_ca_system_score_gemma":0.00004137911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001762547,"about_ca_topic_score_gemma":0.000006864667,"domain_scores_codex":[0.998914,0.00005739271,0.0004272867,0.0002200575,0.0002249726,0.000156301],"domain_scores_gemma":[0.9987842,0.00005834381,0.0001314234,0.0001969346,0.0007258655,0.000103165],"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":[0.000021673,0.00005357828,0.0002298093,0.00009412424,0.00002372478,3.294191e-7,0.0008946267,0.003454952,0.985601,0.007571439,0.001649343,0.0004054093],"study_design_scores_gemma":[0.000542419,0.0001394201,0.00615683,0.000278123,0.00004287246,0.00004198027,0.000260725,0.01824503,0.9720669,0.001218498,0.0007064978,0.0003006466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544211,0.0001419667,0.03478226,0.000679112,0.001266721,0.0003823956,0.00007467471,0.000315395,0.007936383],"genre_scores_gemma":[0.9986714,0.00009277896,0.0004527267,0.00008008794,0.0001863752,0.00005672444,0.0003019362,0.00002401148,0.00013402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04425025,"threshold_uncertainty_score":0.7880051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004412390869429236,"score_gpt":0.2265691295406561,"score_spread":0.2221567386712269,"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."}}