{"id":"W4409494042","doi":"10.1109/jsen.2025.3557439","title":"Advancing Precise Point Positioning With All-Source CSSR Message Augmentation","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Council","keywords":"Computer science; Point (geometry); Mathematics","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":[0.0001903766,0.0001477534,0.000142864,0.0002640459,0.0001934025,0.0001126683,0.00007125223,0.00006055453,0.00006714465],"category_scores_gemma":[0.00001645946,0.0001334666,0.00005712793,0.0003107267,0.00001798495,0.0003227156,0.000005225819,0.0003408563,0.00002125328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732476,"about_ca_system_score_gemma":0.00001562949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001389851,"about_ca_topic_score_gemma":0.00001166492,"domain_scores_codex":[0.9990712,0.0000502041,0.0002789322,0.0001145486,0.0002107792,0.0002743572],"domain_scores_gemma":[0.9996098,0.00004973352,0.00006397928,0.00009864879,0.0000910251,0.00008678749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009695299,0.00001837048,0.0002348608,0.00003777438,0.0001237212,0.00005224432,0.000695276,0.7948562,0.1915496,0.00003993408,0.006649684,0.005645441],"study_design_scores_gemma":[0.003457455,0.0002362201,0.002908123,0.001245974,0.0003305945,0.001159717,0.001318137,0.1993565,0.7758633,0.0007780468,0.01254286,0.0008030842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910947,0.0001449994,0.1000877,0.0002401198,0.0007493031,0.0001328546,0.000002239274,0.0001776571,0.007370409],"genre_scores_gemma":[0.9960099,0.0001239902,0.002697943,0.0001279378,0.0002587648,0.000003311015,0.000007159743,0.00003121095,0.0007397389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5954997,"threshold_uncertainty_score":0.5442611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003557214562244174,"score_gpt":0.2250855271730369,"score_spread":0.2215283126107928,"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."}}