{"id":"W2147700813","doi":"10.1109/plans.2010.5507199","title":"Benefit of partial L2C availability to estimate ionospheric delay for dual-frequency GPS ambiguity resolution","year":2010,"lang":"en","type":"article","venue":"IEEE/ION Position, Location and Navigation Symposium","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; Ambiguity resolution; Pseudorange; Computer science; Zenith; GNSS applications; Kalman filter; Group delay and phase delay; Ionosphere; Geodesy; Precise Point Positioning; Remote sensing; Code (set theory); GPS signals; Satellite; Algorithm; Telecommunications; Physics; Assisted GPS; Geology; Bandwidth (computing); 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":[0.0003652502,0.0002047914,0.000206383,0.00009154336,0.0002291207,0.0000765623,0.0001017746,0.0001835112,0.00002986981],"category_scores_gemma":[0.00004664983,0.0002283175,0.0000613798,0.0003480749,0.00008478275,0.0003998739,0.00001413137,0.0001746857,0.00003212433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009394554,"about_ca_system_score_gemma":0.00004036767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124376,"about_ca_topic_score_gemma":0.00005568092,"domain_scores_codex":[0.9985985,0.00003639304,0.0005826608,0.0003363063,0.0002086235,0.0002374931],"domain_scores_gemma":[0.9986237,0.00006466711,0.0001301299,0.0003118751,0.0007046421,0.0001650383],"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":[0.00006825238,0.0001325354,0.002162416,0.0002759278,0.00002860354,3.790728e-7,0.0009121772,0.03347962,0.9498039,0.01078982,0.001144527,0.001201813],"study_design_scores_gemma":[0.001142178,0.0004878004,0.04354968,0.0004197473,0.0001152594,0.0000708597,0.00006088246,0.1933674,0.7539501,0.004950301,0.001193461,0.0006923216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645414,0.00003698603,0.132376,0.000618729,0.001080999,0.0005489606,0.00007439843,0.0002310938,0.0004914679],"genre_scores_gemma":[0.9947346,0.00001897355,0.004331192,0.00006810921,0.0001929254,0.000203975,0.0003381857,0.00002817232,0.00008383725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1958539,"threshold_uncertainty_score":0.9310519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008970370160667113,"score_gpt":0.2584681517343522,"score_spread":0.2494977815736851,"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."}}