{"id":"W2119951534","doi":"10.5081/jgps.3.1.95","title":"Performance Analysis of Precise Point Positioning Using Rea-Time Orbit and Clock Products","year":2004,"lang":"en","type":"article","venue":"Journal of Global Positioning Systems","topic":"GNSS positioning and interference","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geodesy; Orbit (dynamics); Precise Point Positioning; Computer science; Remote sensing; Global Positioning System; Aerospace engineering; Telecommunications; Geography; GNSS applications; Engineering","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":[0.001392706,0.0005456024,0.0005075654,0.0008614809,0.0004184461,0.0008275526,0.0005303773,0.0006814461,0.002518373],"category_scores_gemma":[0.00445711,0.0002689078,0.0002530859,0.001212087,0.0002958321,0.0008467516,0.0004403361,0.0002560963,0.0006679339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005868714,"about_ca_system_score_gemma":0.0006137757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008115687,"about_ca_topic_score_gemma":0.005905302,"domain_scores_codex":[0.9986886,0.0003446361,0.0000435688,0.0001506185,0.000620261,0.0001523013],"domain_scores_gemma":[0.9971828,0.001662497,0.0001895926,0.0002096316,0.0006848769,0.00007062269],"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":[0.005493703,0.0001134832,0.01981255,0.0001775441,0.0001885808,0.0001503134,0.0001339146,0.7047967,0.05437111,0.002785102,0.001102145,0.2108748],"study_design_scores_gemma":[0.00007963878,0.001045168,0.01404469,0.000007493742,0.0001082507,0.0001329043,0.00005414205,0.9575385,0.02569026,0.0005193341,0.0007398933,0.00003974536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.845356,0.0007329741,0.1473111,0.0001288625,0.00004666522,0.00003821482,0.0002924553,0.001495393,0.004598325],"genre_scores_gemma":[0.9864296,0.0001081049,0.01203874,0.00001107756,0.00001283754,0.000009446364,0.0002676529,0.00004463094,0.001077912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008115687,"threshold_uncertainty_score":0.01613688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007519241926495699,"score_gpt":0.2137258095163349,"score_spread":0.2062065675898392,"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."}}