{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002126449,0.0006664396,0.001473978,0.001013619,0.0008081163,0.001476275,0.001312911,0.001170385,0.0008945253],"category_scores_gemma":[0.01485032,0.0005690066,0.0006552222,0.0009956866,0.001153358,0.002342484,0.002535749,0.000838841,0.0003986396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007224128,"about_ca_system_score_gemma":0.0007696868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921381,"about_ca_topic_score_gemma":0.001885199,"domain_scores_codex":[0.9962435,0.0006461489,0.0001573433,0.0009599761,0.001618302,0.0003747787],"domain_scores_gemma":[0.988415,0.005746443,0.001994361,0.002173789,0.001413863,0.0002565842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001726725,0.0002718518,0.1242498,0.0005938257,0.000745456,0.002476998,0.001813233,0.4126361,0.104656,0.02246513,0.00127526,0.3270897],"study_design_scores_gemma":[0.00005706743,0.0009164279,0.04661245,0.00003919794,0.0003088418,0.003216628,0.000391456,0.8817511,0.05481729,0.008260315,0.003535192,0.00009407788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4869241,0.0004229654,0.5058544,0.0001206069,0.00004250282,0.00007039138,0.0000900711,0.0004041602,0.00607068],"genre_scores_gemma":[0.9829336,0.0001338255,0.01578121,0.0000377668,0.00003577674,0.00002248463,0.00008351743,0.00001852232,0.0009533834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002126449,"threshold_uncertainty_score":0.01124591,"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."}}