{"id":"W1576529731","doi":"10.1109/plans.1996.509090","title":"Estimating double difference GPS multipath under kinematic conditions","year":2002,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multipath propagation; Global Positioning System; Kinematics; Geodesy; Computer science; Multipath mitigation; Remote sensing; Geology; Telecommunications; Physics; GNSS applications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002136591,0.000104944,0.000100443,0.00004477685,0.00008167164,0.00005833143,0.00009248954,0.00003698445,0.00142122],"category_scores_gemma":[0.00000895211,0.00009465367,0.00002945857,0.00008013768,0.0000244309,0.00009507599,0.0000129086,0.0001098328,0.0006051929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002609789,"about_ca_system_score_gemma":0.00000154136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002190413,"about_ca_topic_score_gemma":0.000007413446,"domain_scores_codex":[0.9994861,0.000006071605,0.0001530052,0.0001014436,0.0000805491,0.0001728184],"domain_scores_gemma":[0.9997112,0.00004318462,0.00001435063,0.0001530939,0.00002263503,0.00005554669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002693691,0.0002236265,0.0005994784,0.0003278041,0.0001044998,0.000007251933,0.002528953,0.8984352,0.03237274,0.04286396,0.02013989,0.002393883],"study_design_scores_gemma":[0.0002486776,0.00001527893,0.001791304,0.0001006086,0.000008848311,0.00001223912,0.00006265355,0.9949377,0.001862078,0.0008080836,0.00001442217,0.0001381625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5475723,0.00008202386,0.2662432,0.0001125251,0.0004459388,0.0001338916,0.0000072618,0.001076617,0.1843263],"genre_scores_gemma":[0.9866355,0.000002987605,0.01095458,0.00005616669,0.00003735065,0.00001805756,0.000008195995,0.00001511697,0.002272059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4390632,"threshold_uncertainty_score":0.9994916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429050453160606,"score_gpt":0.2443359096492461,"score_spread":0.2100454051176401,"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."}}