{"id":"W7117488380","doi":"10.1109/taes.2025.3649142","title":"Effect of Constraining a Limited Number of Slant Ionospheric Corrections in PPP and an Improved Partial Tight-Constraining Algorithm","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Hong Kong Polytechnic University; National Natural Science Foundation of China","keywords":"Precise Point Positioning; Convergence (economics); Kinematics; Computation; Ionosphere; Point (geometry); Positioning technology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005801964,0.0004354882,0.0008590794,0.0002387626,0.0002127212,0.00009199641,0.0001137585,0.000328251,0.00002745891],"category_scores_gemma":[0.00001254463,0.0004571514,0.0001238123,0.0006804332,0.000297956,0.0001876994,0.000002560015,0.0008063372,0.000002119713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880868,"about_ca_system_score_gemma":0.0002208478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193932,"about_ca_topic_score_gemma":0.00023141,"domain_scores_codex":[0.9975663,0.0003213784,0.000803782,0.0005023534,0.0001516711,0.000654533],"domain_scores_gemma":[0.9988606,0.00044686,0.0001908881,0.0002863405,0.00008581603,0.0001295216],"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":[0.001959381,0.001704839,0.009980992,0.006547937,0.003710349,0.00001931876,0.01720068,0.1516763,0.2187219,0.003445273,0.0000588722,0.5849742],"study_design_scores_gemma":[0.003748446,0.003393245,0.0004032837,0.003843365,0.0004877853,0.0001452848,0.002392082,0.8973596,0.08761489,0.00001558486,0.00004034134,0.000556068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7466251,0.001521038,0.2486799,0.00002286455,0.001375745,0.0006528482,0.00005108467,0.00007827669,0.000993137],"genre_scores_gemma":[0.998617,0.0007956567,0.0001921156,0.000005990902,0.00003792209,0.0001289942,0.000004422922,0.00003494067,0.0001829868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7456834,"threshold_uncertainty_score":0.999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005076269052279872,"score_gpt":0.2491653716196428,"score_spread":0.244089102567363,"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."}}