{"id":"W1972030336","doi":"10.1007/s00190-005-0007-7","title":"Is there utility in rigorous combinations of VLBI and GPS Earth orientation parameters?","year":2005,"lang":"en","type":"article","venue":"Journal of Geodesy","topic":"GNSS positioning and interference","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Goddard Space Flight Center","keywords":"Very-long-baseline interferometry; Global Positioning System; Geodesy; Geodetic datum; Reference frame; Polar motion; Earth's rotation; Universal Time; Homogeneity (statistics); Series (stratigraphy); Orientation (vector space); Computer science; Remote sensing; Frame (networking); Mathematics; Geology; Statistics; Physics; Telecommunications; Geometry","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":[0.0001222977,0.00004286884,0.00009575762,0.00007479285,0.00001422468,0.00001371869,0.00004128873,0.00002660549,0.0000299948],"category_scores_gemma":[0.00001588539,0.00003934992,0.00002653918,0.00006548967,0.00002134982,0.0001680141,0.000004601289,0.0001164765,0.000002301371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001865056,"about_ca_system_score_gemma":0.000008512128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002550249,"about_ca_topic_score_gemma":0.0000333525,"domain_scores_codex":[0.9995832,0.00001655875,0.0002214281,0.00003486637,0.00008265965,0.00006127908],"domain_scores_gemma":[0.9997668,0.00003380944,0.00006272708,0.00004904544,0.00006117386,0.00002648342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003897586,0.002714779,0.4004662,0.0006225801,0.0006380681,0.00004435114,0.05520768,0.1379466,0.02799311,0.009836831,0.007814243,0.3563258],"study_design_scores_gemma":[0.002650579,0.0004544719,0.8242163,0.0004327981,0.00004961415,0.0001277737,0.0009567855,0.1265635,0.03840415,0.004368944,0.001555571,0.0002195357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955071,0.0003498518,0.002364355,0.00009935465,0.00006778183,0.00002401219,0.000003410148,0.000006120291,0.001578026],"genre_scores_gemma":[0.9984778,0.00009349255,0.001362962,0.00001732495,0.00001195425,4.908991e-7,6.022331e-7,0.000003664351,0.00003177048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4237501,"threshold_uncertainty_score":0.1604643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552695515157457,"score_gpt":0.2458026480342956,"score_spread":0.230275692882721,"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."}}