{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006090135,0.0001034725,0.0001696625,0.00005701569,0.00008731701,0.00002201999,0.0002486641,0.00003753213,0.0002182928],"category_scores_gemma":[0.00004908942,0.0000932442,0.00001990644,0.0001847775,0.00004603311,0.0001921409,0.00004011169,0.0000979301,0.00003033478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006717321,"about_ca_system_score_gemma":0.00001543827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01493787,"about_ca_topic_score_gemma":0.01607371,"domain_scores_codex":[0.9988648,0.00005200871,0.0001933264,0.0002562762,0.0004306911,0.0002028809],"domain_scores_gemma":[0.9994116,0.00002019943,0.00006778976,0.0003748405,0.0000470507,0.00007846393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001443924,0.00008750165,0.9803682,0.00006596123,0.0000176357,0.000006436368,0.0001936242,0.0005304962,0.0002680831,0.000005588653,0.0004200618,0.01802196],"study_design_scores_gemma":[0.0003516559,0.00004076237,0.9769642,0.00007112013,0.00001581665,0.000003937575,0.00001849238,0.02066824,0.00006445566,0.0002255762,0.001463497,0.0001122684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977419,0.0009713261,0.00002223996,0.0001757885,0.000138924,0.0001386911,0.0002285963,0.000007579274,0.0005749323],"genre_scores_gemma":[0.999588,0.00004260991,0.0002346439,0.00002805916,0.00004308357,2.730894e-7,0.00004614,0.000002528286,0.000014677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02013774,"threshold_uncertainty_score":0.9916217,"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."}}