{"id":"W2944475298","doi":"10.1007/s10291-019-0859-6","title":"A new datum jump detection and mitigation method of Real-Time Service (RTS) clock products","year":2019,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Geodetic datum; GNSS applications; Precise Point Positioning; Computer science; Satellite; Satellite system; Real-time computing; Orbit (dynamics); Clock drift; Geodesy; Global Positioning System; Clock synchronization; Engineering; Geography; Aerospace engineering; Telecommunications; Synchronization (alternating current)","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":[0.00009266476,0.00007548583,0.00009734555,0.00005160759,0.00005310413,0.00001597691,0.00005163049,0.00005550222,0.00004382044],"category_scores_gemma":[0.00001835068,0.00008364164,0.00001752804,0.0002192069,0.000008634303,0.0001515613,0.0000214023,0.00008718632,0.0001341675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003338636,"about_ca_system_score_gemma":0.00002439367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005658165,"about_ca_topic_score_gemma":0.00005385917,"domain_scores_codex":[0.9995074,0.00002577133,0.0001319476,0.0001346964,0.00006838084,0.0001318427],"domain_scores_gemma":[0.9996367,0.00002532835,0.00002903349,0.0001809417,0.00008496805,0.00004302022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005240495,0.0000123408,0.00005522848,0.0001239056,0.00002841663,9.334286e-8,0.0004626358,0.01309131,0.9792645,0.001210795,0.00251781,0.003227755],"study_design_scores_gemma":[0.0005533781,0.000154138,0.01930951,0.0003005734,0.0001039846,0.00005943241,0.0001470424,0.7302895,0.2429261,0.00165924,0.004119336,0.0003777982],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.796284,0.0003161081,0.1739833,0.000573852,0.0008801616,0.0005970861,0.00004041591,0.0006140597,0.02671105],"genre_scores_gemma":[0.982309,0.0000212894,0.01680107,0.00001308811,0.00006345191,0.00001307454,0.0000211327,0.0000138035,0.0007440794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7363384,"threshold_uncertainty_score":0.3410807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148909004179264,"score_gpt":0.2262703390954157,"score_spread":0.2147812490536231,"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."}}