{"id":"W2141057422","doi":"10.1002/j.2161-4296.2003.tb00314.x","title":"Precise Acceleration Determination from Carrier-Phase Measurements","year":2003,"lang":"en","type":"article","venue":"NAVIGATION Journal of the Institute of Navigation","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Acceleration; Gravimetry; Position (finance); Gravitational field; Kinematics; Geodesy; Computer science; Gravitational acceleration; Field (mathematics); Phase (matter); Control theory (sociology); Physics; Mathematics; Geology; Optics; Classical mechanics; 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":[0.0004652223,0.0006511884,0.0003906247,0.001209981,0.0002937003,0.0007649058,0.0005915996,0.000368616,0.001622549],"category_scores_gemma":[0.002237861,0.0002389011,0.000149298,0.0009519351,0.0003425154,0.0007730916,0.0005602292,0.000643287,0.001277836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891893,"about_ca_system_score_gemma":0.0006206571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897787,"about_ca_topic_score_gemma":0.002226789,"domain_scores_codex":[0.9991087,0.00009302951,0.000024831,0.0001093689,0.0006110405,0.00005304768],"domain_scores_gemma":[0.9992138,0.0001494876,0.00009942213,0.0001502967,0.0003606861,0.00002625591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005637243,0.00008860156,0.01145205,0.0003068137,0.00004413806,0.000174409,0.0005170082,0.01470602,0.300512,0.009512289,0.004108666,0.6580142],"study_design_scores_gemma":[0.0002260073,0.001289428,0.06384148,0.0001451672,0.0001084224,0.001976464,0.0002572643,0.3083758,0.5613228,0.007390424,0.05479706,0.0002696734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1620852,0.0005235489,0.8266528,0.00009907616,0.0002341976,0.00009244183,0.0004011888,0.002665504,0.007246006],"genre_scores_gemma":[0.7454323,0.0003149855,0.250019,0.00005008123,0.00006364081,0.00004288379,0.0006127961,0.0002785687,0.003185783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001897787,"threshold_uncertainty_score":0.005428016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326634235450022,"score_gpt":0.2813878032324941,"score_spread":0.2281214608779939,"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."}}