{"id":"W2113472656","doi":"10.1190/1.2903821","title":"Seismic depth imaging with the Gabor transform","year":2008,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada)","funders":"Mitacs; Pacific Institute for the Mathematical Sciences","keywords":"Extrapolation; Fourier transform; Gabor transform; Position (finance); Frequency domain; Mathematics; Algorithm; Geometry; Mathematical analysis; Computer science; Time–frequency analysis; Computer vision; Filter (signal processing)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002696182,0.0003504919,0.0002566972,0.0006145006,0.0001212652,0.0005978172,0.0003226973,0.0003652244,0.001143989],"category_scores_gemma":[0.0007250631,0.0001859733,0.0002781956,0.0006044945,0.0002818975,0.0005100924,0.000633053,0.0003637138,0.00054442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309205,"about_ca_system_score_gemma":0.0003555349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371419,"about_ca_topic_score_gemma":0.001330065,"domain_scores_codex":[0.9998821,0.0000213722,0.000006179196,0.00002076282,0.00005428171,0.00001528345],"domain_scores_gemma":[0.9998412,0.0000511197,0.00003178396,0.00002773579,0.00003585008,0.00001218389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004590134,0.00006851389,0.002541698,0.0001170918,0.00005223727,0.000187605,0.000131143,0.113616,0.3411655,0.01438127,0.001833417,0.5254466],"study_design_scores_gemma":[0.00002167147,0.0000615875,0.002387728,0.00001526365,0.0000166825,0.0001919268,0.0000314075,0.9440777,0.04688639,0.003374392,0.00291545,0.00001975251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05336805,0.0001282313,0.9438598,0.000099106,0.00002526558,0.00002162193,0.00007740467,0.0007312903,0.001689192],"genre_scores_gemma":[0.3140064,0.000188079,0.6842894,0.00004486207,0.00002543853,0.0000242008,0.0001312654,0.00007478155,0.001215637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001371419,"threshold_uncertainty_score":0.003827035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009444364917425188,"score_gpt":0.1859457125235959,"score_spread":0.1765013476061708,"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."}}