{"id":"W2163479051","doi":"10.1190/geo2012-0038.1","title":"A fast reduced-rank interpolation method for prestack seismic volumes that depend on four spatial dimensions","year":2012,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Toeplitz matrix; Lanczos resampling; Algorithm; Rank (graph theory); Interpolation (computer graphics); Computer science; Reduction (mathematics); Low-rank approximation; Matrix (chemical analysis); Regularization (linguistics); Noise reduction; Lanczos algorithm; Block (permutation group theory); Mathematics; Hankel matrix; Artificial intelligence; Eigenvalues and eigenvectors","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006011047,0.0006644863,0.0006217364,0.0005679604,0.0003622737,0.0006213303,0.0009208359,0.0007184661,0.003334944],"category_scores_gemma":[0.001703421,0.0003830491,0.0005031598,0.0006676236,0.0004176479,0.0007510218,0.0007454871,0.000994883,0.001129191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694714,"about_ca_system_score_gemma":0.001440224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898806,"about_ca_topic_score_gemma":0.006682262,"domain_scores_codex":[0.9997104,0.00006895648,0.00001294613,0.00003151426,0.0001519334,0.00002421288],"domain_scores_gemma":[0.9993886,0.0002152544,0.00006518792,0.0001141113,0.0001879023,0.00002901654],"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":[0.000301668,0.0001026541,0.0008042654,0.000269481,0.00005630326,0.0002447025,0.0002494322,0.3845887,0.0808245,0.03691821,0.00495307,0.490687],"study_design_scores_gemma":[0.00000955456,0.00002927389,0.0001269835,0.000004875675,0.000003255566,0.00004831593,0.00001379251,0.9895633,0.00643209,0.001620957,0.002133997,0.00001367062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008640939,0.00004888236,0.9901177,0.00005052003,0.00001661189,0.00002111003,0.00005750221,0.0004838537,0.0005629806],"genre_scores_gemma":[0.05121566,0.00008120479,0.9460707,0.00002452323,0.00001367503,0.00005855833,0.0002346807,0.0001423469,0.002158705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003898806,"threshold_uncertainty_score":0.0111565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930502751451764,"score_gpt":0.2604588851446088,"score_spread":0.2311538576300912,"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."}}