{"id":"W6920209087","doi":"10.60692/0q6jk-yfv35","title":"THE PERFORMANCE ANALYSIS OF THE POST-MISSION WEB-BASED STATIC AND KINEMATIC PPP-AR SERVICE","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precise Point Positioning; GNSS applications; Real Time Kinematic; Global Positioning System; GLONASS; Satellite; Position (finance); Ambiguity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002336154,0.00009170651,0.000134973,0.00018588,0.0001630938,0.00008901431,0.0001474648,0.0000347002,0.000004445574],"category_scores_gemma":[0.00001277878,0.00005054015,0.00004671453,0.0008684938,0.00001750122,0.0002026171,0.00002686651,0.00006051302,0.00009743253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002884321,"about_ca_system_score_gemma":0.00001380463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005213092,"about_ca_topic_score_gemma":8.261261e-7,"domain_scores_codex":[0.9992475,0.00003211768,0.0003612005,0.00004766082,0.0001870876,0.0001244459],"domain_scores_gemma":[0.9994444,0.00002480403,0.0001092292,0.0002619589,0.0001303098,0.0000293105],"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":[0.00002754699,0.000001472857,0.1137813,0.004269757,0.000444874,2.741534e-7,0.07650743,0.8039388,0.0001504215,0.0001017969,0.0002861192,0.0004901424],"study_design_scores_gemma":[0.0001411163,0.00000997906,0.1789598,0.0002440022,0.00009224326,0.000001264094,0.002538065,0.8174691,0.0004656082,1.408289e-7,0.00002606737,0.00005263458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979999,0.000002659511,0.0006819351,0.00009270856,0.0001409708,0.000137568,0.00004082354,0.0001855898,0.0007178629],"genre_scores_gemma":[0.9998386,5.011588e-7,0.00002311233,0.00005794329,0.000005379332,0.00001720806,0.00001652506,0.000005445762,0.00003526799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07396936,"threshold_uncertainty_score":0.2060968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531047952132116,"score_gpt":0.1904404210340397,"score_spread":0.1751299415127185,"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."}}