{"id":"W2012298856","doi":"10.5589/m02-039","title":"Altimetry precision of 1 cm over a pond using the wide-lane carrier phase of GPS reflected signals","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Global Positioning System; Remote sensing; Altimeter; GPS signals; Geodesy; Coherence (philosophical gambling strategy); Satellite; Phase (matter); Satellite system; Orbit determination; Doppler effect; Geography; Computer science; Assisted GPS; Physics; Telecommunications; Aerospace engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005302071,0.0001778899,0.0003879114,0.0002403335,0.0001885154,0.00003059227,0.0002028271,0.0001263205,0.0002708708],"category_scores_gemma":[0.0004363052,0.0001292958,0.000180104,0.0006307748,0.0003524013,0.0001534673,0.0000298383,0.0003412884,0.00000481374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745722,"about_ca_system_score_gemma":0.0001330249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02123812,"about_ca_topic_score_gemma":0.01904109,"domain_scores_codex":[0.9981591,0.0001781653,0.000657599,0.0001738589,0.0004624628,0.0003688354],"domain_scores_gemma":[0.9983118,0.0002025812,0.0006668638,0.0003167734,0.0001095699,0.0003924537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005998767,0.00001919213,0.0008499039,0.0000156006,0.00009425077,0.0004668643,0.003018343,0.001831177,0.3037445,5.94115e-7,0.003598908,0.6863008],"study_design_scores_gemma":[0.008551021,0.001877399,0.03747334,0.004095934,0.001396815,0.01245677,0.003957164,0.4380031,0.4247843,0.001819071,0.06356227,0.002022836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902425,0.0007579753,0.003885266,0.0002681312,0.0003531555,0.0001164622,0.000006732101,0.000003630478,0.004366091],"genre_scores_gemma":[0.9783444,0.00002182863,0.02116725,0.000241457,0.000106388,9.421784e-10,8.916292e-7,0.00002126593,0.00009653841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6842779,"threshold_uncertainty_score":0.9988589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880827180481362,"score_gpt":0.2687589570518106,"score_spread":0.239950685246997,"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."}}