{"id":"W2518490623","doi":"10.1190/segam2016-13955076.1","title":"Fast and memory-efficient singular spectrum analysis for seismic data reconstruction and denoising","year":2016,"lang":"en","type":"article","venue":"","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Singular value decomposition; Singular spectrum analysis; Hankel matrix; Convolution (computer science); Rank (graph theory); Singular value; Algorithm; Computer science; Interpolation (computer graphics); Reduction (mathematics); Representation (politics); Mathematics; Geometry; Mathematical analysis; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002066948,0.00009415147,0.0002184275,0.00007250687,0.00009439259,0.00003832254,0.00007372618,0.00003518583,0.0001024349],"category_scores_gemma":[0.0003320361,0.0000554673,0.00002842164,0.0001521215,0.0001071185,0.00006288951,0.00009770537,0.00002898341,0.000003025738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001626046,"about_ca_system_score_gemma":0.000007063155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003043285,"about_ca_topic_score_gemma":0.00002477525,"domain_scores_codex":[0.9992085,0.00002162068,0.0001868329,0.000322438,0.00009483627,0.0001657896],"domain_scores_gemma":[0.9989074,0.0006722272,0.00005294571,0.0002575917,0.0000247132,0.00008514708],"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":[0.0000407349,0.00007790604,0.0008762823,0.00007123187,0.0003902103,0.000003660628,0.00009145938,0.00001228171,0.0009292889,0.01483089,0.0003551466,0.9823209],"study_design_scores_gemma":[0.001201393,0.000141624,0.002252696,0.00006027171,0.001286515,0.00009093534,0.0002885988,0.6802892,0.003826967,0.3097253,0.0004259473,0.0004105617],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1128673,0.00003886711,0.8858571,0.0007937895,0.00004748458,0.0001232868,0.00009208793,0.00003644025,0.0001436328],"genre_scores_gemma":[0.6828753,0.00002596914,0.3159741,0.00007357103,0.0001036087,0.00000588709,0.00001313513,0.00001726504,0.0009110658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9819103,"threshold_uncertainty_score":0.2261891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05568940107508432,"score_gpt":0.3071331215886921,"score_spread":0.2514437205136078,"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."}}