{"id":"W2108870672","doi":"10.1109/freq.2007.4319105","title":"Further Characterization of the Time Transfer Capabilities of Precise Point Positioning (PPP)","year":2007,"lang":"en","type":"article","venue":"Proceedings of the IEEE International Frequency Control Symposium","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Istituto Nazionale di Ricerca Metrologica","keywords":"Precise Point Positioning; Time transfer; Global Positioning System; GNSS applications; Computer science; Geodetic datum; GLONASS; Real-time computing; Satellite; Geodesy; Telecommunications; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002956916,0.0005940967,0.0004358673,0.0014567,0.0002955688,0.001060837,0.0009944628,0.0006339417,0.003651753],"category_scores_gemma":[0.01027474,0.0002480614,0.0004640264,0.002639281,0.0005442224,0.002196401,0.0008182037,0.0009221503,0.001043806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005156305,"about_ca_system_score_gemma":0.0004778097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483042,"about_ca_topic_score_gemma":0.001737753,"domain_scores_codex":[0.9981282,0.0004006881,0.00007711876,0.0003123501,0.0009699487,0.0001117062],"domain_scores_gemma":[0.9942849,0.002760609,0.0004496102,0.0009273602,0.001512184,0.00006537403],"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":[0.0005776729,0.0001377207,0.01816187,0.001151474,0.000128399,0.0004247285,0.0009249511,0.05694898,0.1108719,0.0163226,0.003362474,0.7909872],"study_design_scores_gemma":[0.0001390022,0.00259204,0.07509191,0.0003776212,0.0003363239,0.003978218,0.001087558,0.4911787,0.2935011,0.01978529,0.1116447,0.0002875453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1695842,0.004967758,0.8014579,0.0004407729,0.0002619104,0.0002237683,0.001168919,0.001020054,0.02087477],"genre_scores_gemma":[0.7189247,0.002929223,0.2708953,0.0001268114,0.0001715883,0.0001599949,0.001899415,0.0003021555,0.00459095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003651753,"threshold_uncertainty_score":0.01563781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0037756195092153,"score_gpt":0.2127972776455277,"score_spread":0.2090216581363124,"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."}}