{"id":"W2166767135","doi":"","title":"Range-Extended Post-Processing Kinematic (PPK) in a Marine Environment","year":2005,"lang":"en","type":"article","venue":"Online Journal of Space Communication","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zenith; Numerical weather prediction; Ambiguity resolution; Meteorology; Troposphere; GNSS applications; Computer science; Remote sensing; Environmental science; Geography; Global Positioning System; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000555526,0.0003336323,0.0002111064,0.0002727801,0.0002314446,0.0005077195,0.0003827837,0.0001687855,0.001219271],"category_scores_gemma":[0.002078854,0.0002113001,0.0002047283,0.0005910148,0.0002608613,0.0007697542,0.0005536006,0.0003820547,0.0004369365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110212,"about_ca_system_score_gemma":0.0004206334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005298305,"about_ca_topic_score_gemma":0.006850376,"domain_scores_codex":[0.9997702,0.00005005211,0.00001248072,0.00005917219,0.00007774241,0.00003031836],"domain_scores_gemma":[0.9993922,0.0001601199,0.00008418854,0.0001678965,0.0001781898,0.00001730617],"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":[0.0006848599,0.00009037975,0.05321854,0.0001715098,0.00008055608,0.0005133333,0.000350124,0.4867033,0.03874224,0.005239363,0.001822591,0.4123831],"study_design_scores_gemma":[0.00007024045,0.0005563187,0.06596629,0.00003306584,0.00005154653,0.0004405931,0.0001586743,0.8782873,0.03753868,0.004415202,0.01243227,0.00004982329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5235426,0.000352798,0.4632966,0.0002569893,0.00008798972,0.00005709727,0.0008074272,0.003270033,0.008328476],"genre_scores_gemma":[0.8587252,0.000123021,0.1390012,0.00002488511,0.00001907432,0.00002066829,0.000679681,0.0002224162,0.001183996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005298305,"threshold_uncertainty_score":0.01053494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260371608380745,"score_gpt":0.2542131045794843,"score_spread":0.2316093884956769,"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."}}