{"id":"W2356275068","doi":"","title":"A New Method of Constructing Weighted Matrix of WDOP","year":2009,"lang":"en","type":"article","venue":"Journal of Astronautics","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Dilution of precision; Algorithm; Position (finance); Stability (learning theory); Computer science; Matrix (chemical analysis); Software; Mathematics; Data mining; Global Positioning System; GNSS applications; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0001685263,0.00006723127,0.0002318412,0.00009270122,0.000008116174,0.000004102327,0.00007425416,0.0000476441,0.0000285054],"category_scores_gemma":[0.00002604677,0.00005980138,0.00008700756,0.0001313609,0.00001074211,0.00007462277,0.000004095041,0.0001603114,5.60984e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659978,"about_ca_system_score_gemma":0.00003425754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002640066,"about_ca_topic_score_gemma":3.03047e-7,"domain_scores_codex":[0.999176,0.00001864613,0.0005011215,0.00002829465,0.0001784605,0.0000974705],"domain_scores_gemma":[0.999462,0.00004676119,0.000252842,0.00005855687,0.0001263873,0.00005342574],"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":[0.0001109475,0.0000406679,0.001272079,0.00007377242,0.0001569781,0.00001053004,0.0005688081,0.03597667,0.5587589,0.004150485,0.000541976,0.3983382],"study_design_scores_gemma":[0.001970547,0.0007824953,0.005930395,0.0003252808,0.0002457182,0.000371962,0.0004816601,0.03068579,0.9543632,0.003066059,0.001577515,0.0001993774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4766674,0.0002620783,0.5217183,0.00008263538,0.0002863395,0.0000378958,0.000003960453,0.00001320497,0.000928233],"genre_scores_gemma":[0.6213681,0.00001105666,0.3784757,0.000002725614,0.0001218892,1.27068e-8,4.71381e-7,0.000004952078,0.00001511025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3981388,"threshold_uncertainty_score":0.243863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006797576213990458,"score_gpt":0.2745837643313366,"score_spread":0.2677861881173461,"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."}}