{"id":"W2067082638","doi":"10.1190/1.1444895","title":"Seismic signal processing—A new millennium perspective","year":2001,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; Petro-Canada","funders":"","keywords":"Data processing; Deconvolution; Computer science; Signal processing; Geology; Algorithm; Seismology; Digital signal processing; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006387387,0.0001243367,0.0001166318,0.00005260918,0.0001537118,0.00005690817,0.0001840143,0.00004488039,0.0009925055],"category_scores_gemma":[0.000005334146,0.0001084473,0.00005756773,0.0002615214,0.00006787807,0.0002571389,0.000009288185,0.0001499574,0.0007911834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009796293,"about_ca_system_score_gemma":0.0001218836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268044,"about_ca_topic_score_gemma":0.00002007363,"domain_scores_codex":[0.9991785,0.00002096119,0.00009965661,0.0002365415,0.0001926588,0.0002716252],"domain_scores_gemma":[0.9996201,0.00002296788,0.00005065096,0.0001272868,0.00006568582,0.0001133089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004731902,0.00002960067,0.01828386,0.000009367582,0.00001420693,0.00002131408,0.001111434,0.0006059583,0.0000558321,0.0001440533,0.149677,0.83],"study_design_scores_gemma":[0.0006673234,0.0003720362,0.04971728,0.00007039338,0.00004697866,0.00009400305,0.002918951,0.2743897,0.001814444,0.06601194,0.6030976,0.0007993334],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6428654,0.006294181,0.0477038,0.011694,0.0008379872,0.0005536702,0.00005743728,0.001652438,0.2883411],"genre_scores_gemma":[0.9900615,0.0001505936,0.001355328,0.003085516,0.0004404716,4.566946e-7,0.00002602966,0.000005096763,0.00487501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8292007,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314933844217539,"score_gpt":0.2193970589277109,"score_spread":0.2062477204855356,"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."}}