{"id":"W2185327630","doi":"","title":"Measurement of noise in airborne gravity data using even and odd grids","year":2002,"lang":"en","type":"article","venue":"First Break","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Geology; Data set; Geodesy; Filter (signal processing); White noise; Data processing; Mathematics; Computer science; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389578,0.0006732666,0.0004360043,0.002281468,0.0004917837,0.0009720668,0.0006377241,0.0004902897,0.001019133],"category_scores_gemma":[0.007603001,0.0003138156,0.0005110683,0.00252605,0.0005461971,0.0006678935,0.001090249,0.0005085803,0.0003120581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006136409,"about_ca_system_score_gemma":0.0004985454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006672293,"about_ca_topic_score_gemma":0.007783478,"domain_scores_codex":[0.9980677,0.0002750598,0.0001665923,0.0004100647,0.0009347473,0.0001459175],"domain_scores_gemma":[0.9959871,0.001693875,0.0004746846,0.0006467276,0.001104591,0.0000930168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001705812,0.0005316821,0.42294,0.0006952288,0.0004981726,0.0007230159,0.002458096,0.0953385,0.1931043,0.007445376,0.003807398,0.2707524],"study_design_scores_gemma":[0.0001390315,0.0005383113,0.5855951,0.0001169201,0.0001900385,0.000707183,0.0008440359,0.2542417,0.143962,0.004214264,0.009246996,0.0002043247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8086352,0.0001632248,0.1839055,0.00009024297,0.00008499837,0.0002703178,0.002169513,0.001006023,0.003675],"genre_scores_gemma":[0.8461858,0.00009001399,0.1494246,0.00006083987,0.0000196697,0.0001789922,0.003035755,0.0002432161,0.0007610698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006672293,"threshold_uncertainty_score":0.01326692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09416183534292621,"score_gpt":0.2318418777724638,"score_spread":0.1376800424295376,"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."}}