{"id":"W2084389047","doi":"10.1007/pl00012883","title":"Precise Point Positioning Using IGS Orbit and Clock Products","year":2001,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1458,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Pseudorange; Precise Point Positioning; Orbit (dynamics); Global Positioning System; Geodesy; Satellite; Computer science; Geodetic datum; Kinematics; Remote sensing; GNSS applications; Aerospace engineering; Physics; Geology; Engineering; Telecommunications","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":[0.0003591733,0.0005177055,0.0003421279,0.001456416,0.0004304344,0.001058194,0.0004263598,0.0004763442,0.003997547],"category_scores_gemma":[0.001191708,0.0003266163,0.0002389353,0.002122262,0.0003237579,0.0008652366,0.0006961563,0.0004391952,0.002818887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002848887,"about_ca_system_score_gemma":0.0005117989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00392908,"about_ca_topic_score_gemma":0.008040281,"domain_scores_codex":[0.999418,0.00007975078,0.00001852067,0.00006694996,0.0003693842,0.00004750819],"domain_scores_gemma":[0.9996358,0.00003894596,0.00003705187,0.0001339206,0.0001403624,0.00001385457],"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":[0.0005130439,0.00003390507,0.009151752,0.000196066,0.00006538802,0.0001440969,0.0002944023,0.03751644,0.08189722,0.01672242,0.01470649,0.8387587],"study_design_scores_gemma":[0.000313742,0.0008126991,0.06178015,0.0002687484,0.0003610518,0.001243653,0.0005069925,0.4520763,0.2108838,0.02714653,0.2444094,0.0001970214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07120128,0.0005761135,0.879151,0.0002136876,0.000341691,0.00004986815,0.001252378,0.007591489,0.03962243],"genre_scores_gemma":[0.6310696,0.0006571368,0.3416641,0.0001050966,0.0001695891,0.00005150663,0.003510681,0.0005643526,0.02220798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003997547,"threshold_uncertainty_score":0.01337308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149562157878961,"score_gpt":0.2266481752682714,"score_spread":0.1951525536894818,"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."}}