{"id":"W2019650294","doi":"10.1007/s00190-009-0303-8","title":"Systematic biases in DORIS-derived geocenter time series related to solar radiation pressure mis-modeling","year":2009,"lang":"en","type":"article","venue":"Journal of Geodesy","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Jet Propulsion Laboratory; Institut de Physique du Globe de Paris","keywords":"Doris (gastropod); Geodetic datum; Satellite; Geodesy; Altimeter; Satellite laser ranging; Orbit determination; Geopotential; Remote sensing; Geology; Environmental science; Physics; Astronomy; Optics; Computer science","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":[0.0007437097,0.0001100963,0.000308083,0.0001614276,0.00006503785,0.00007935642,0.0001542059,0.00005144647,0.0001244424],"category_scores_gemma":[0.0001792373,0.00008555683,0.00008444598,0.0001935777,0.000006887552,0.0004158787,0.00000276504,0.000156464,0.00008979382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008726306,"about_ca_system_score_gemma":0.00004183753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001675658,"about_ca_topic_score_gemma":0.00007733062,"domain_scores_codex":[0.9986466,0.0001171024,0.0005293931,0.0001045705,0.0003833853,0.0002189338],"domain_scores_gemma":[0.999374,0.00004204789,0.0002375401,0.0001032061,0.0001176671,0.0001255625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004207487,0.0001821172,0.08361351,0.0007518867,0.0002427394,0.0001235592,0.002666054,0.9002886,0.004861716,0.000009526025,0.0006632925,0.006176251],"study_design_scores_gemma":[0.002580842,0.001931777,0.6666696,0.008037841,0.0003621207,0.0002543152,0.0006972043,0.3129872,0.001204786,0.004141098,0.0004059341,0.0007272589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976719,0.001052212,0.00006974233,0.0005556901,0.0002088209,0.0002017982,0.0000109115,0.000007330641,0.0002216043],"genre_scores_gemma":[0.9993671,0.00003432747,0.000241738,0.0001460425,0.00004589953,2.122639e-7,0.00001117663,0.000002438686,0.0001510479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5873014,"threshold_uncertainty_score":0.3488906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445359616972953,"score_gpt":0.2184868087131077,"score_spread":0.2040332125433782,"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."}}