{"id":"W2602875594","doi":"","title":"Integer Ambiguity Resolution to Improve Accuracy and Convergence of PPP-Inferred Troposphere Estimates","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 24th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2011)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Troposphere; Precise Point Positioning; Ambiguity resolution; Initialization; Radio occultation; Convergence (economics); Environmental science; Meteorology; Global Positioning System; Geodesy; Remote sensing; Computer science; GNSS applications; Algorithm; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006012273,0.0001875334,0.0003163471,0.00007917017,0.00007973566,0.00001420161,0.001231768,0.0001250665,0.00001660016],"category_scores_gemma":[0.00129941,0.0001182837,0.0002124463,0.0002623221,0.0004982812,0.0003264722,0.0006092025,0.0002580762,0.0000017976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006465098,"about_ca_system_score_gemma":0.00002598868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00021174,"about_ca_topic_score_gemma":0.000003767481,"domain_scores_codex":[0.9981047,0.00001916674,0.0009543779,0.0002141423,0.0005652023,0.0001424291],"domain_scores_gemma":[0.9977152,0.00009981282,0.000965514,0.0002975769,0.0008759724,0.00004588881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001823364,0.0001520523,0.0147625,0.0005203692,0.00009294634,4.71394e-8,0.0006678619,0.001803603,0.9632566,0.01494246,0.000235243,0.003383957],"study_design_scores_gemma":[0.0002356425,0.0001125794,0.0692885,0.00314379,0.00004979318,0.000004779739,0.00006613209,0.005218661,0.9149356,0.006702994,0.0001211535,0.0001203892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933213,0.0001335293,0.0006483113,0.0003321684,0.001180258,0.0004123161,0.00004616833,0.0000445512,0.003881379],"genre_scores_gemma":[0.994415,0.0000759578,0.005382629,0.0000131393,0.00002208829,0.00001106825,0.000002770587,0.00001612034,0.00006119571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.054526,"threshold_uncertainty_score":0.482347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806741472607168,"score_gpt":0.2474424784871037,"score_spread":0.229375063761032,"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."}}