{"id":"W4291754838","doi":"10.1190/image2022-3744978.1","title":"Large-scale Marchenko imaging with distance-aware matrix reordering, tile low-rank compression, and mixed-precision computations","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Algorithm; Memory footprint; Computation; Rank (graph theory); Matrix (chemical analysis); Kernel (algebra); Deconvolution; Matrix multiplication; Parallel computing; Data compression; Computational science; Mathematics","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":[0.0004476823,0.0009254986,0.0004418818,0.000483172,0.0003756059,0.00104063,0.0008119254,0.0005252092,0.002607634],"category_scores_gemma":[0.002144721,0.0002712976,0.0004127131,0.0009355815,0.0006402721,0.00110518,0.001371468,0.00117011,0.001172722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004603116,"about_ca_system_score_gemma":0.001032795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001939379,"about_ca_topic_score_gemma":0.00377042,"domain_scores_codex":[0.9996874,0.00004012568,0.00001960482,0.00004794772,0.0001686667,0.00003619916],"domain_scores_gemma":[0.9994486,0.0001294968,0.00006655305,0.0002128737,0.0001034713,0.00003896649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004317098,0.0001857343,0.002212893,0.0002785691,0.00006944291,0.0004139764,0.0004507701,0.2819124,0.138296,0.07333753,0.01327586,0.4891351],"study_design_scores_gemma":[0.0000356289,0.00006943099,0.0004824557,0.00001555149,0.000007564418,0.0001690698,0.00005931972,0.9117408,0.062217,0.01633669,0.00883981,0.00002662259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04246279,0.0001462518,0.9498055,0.0002646854,0.00007312781,0.00006272946,0.0002507715,0.002652314,0.004281892],"genre_scores_gemma":[0.146819,0.0001421093,0.8487402,0.00008214049,0.00004674287,0.0001165371,0.001014151,0.0003839227,0.002655147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002607634,"threshold_uncertainty_score":0.008723438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007860837005483049,"score_gpt":0.2326741420765481,"score_spread":0.2248133050710651,"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."}}