{"id":"W2095593636","doi":"","title":"The Phase Shift Time Stepping Equation and the Marmousi Data Set","year":2009,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fourier transform; Algorithm; Set (abstract data type); Constant (computer programming); Computer science; Fidelity; Phase (matter); Applied mathematics; Mathematical analysis; Time stepping; Wave equation; Fourier analysis; Finite difference; Discrete Fourier transform (general); Mathematics; Calculus (dental); Short-time Fourier transform; Physics","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":[0.001924847,0.0003282064,0.0007848223,0.002405124,0.0009814281,0.001046554,0.001349822,0.0008716455,0.002127939],"category_scores_gemma":[0.007471243,0.0002041743,0.000416815,0.003088049,0.0006604015,0.0009187493,0.00110541,0.000652871,0.0007315247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009462513,"about_ca_system_score_gemma":0.0007300517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03597347,"about_ca_topic_score_gemma":0.02671368,"domain_scores_codex":[0.9991078,0.0002343989,0.00008934615,0.0001540391,0.0002900895,0.0001243571],"domain_scores_gemma":[0.9981391,0.0006071355,0.0002211606,0.00045181,0.0004403534,0.0001403148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001477275,0.0005558266,0.319186,0.0006105097,0.0005225583,0.002562309,0.000701625,0.3484568,0.009591096,0.03500479,0.038533,0.2427982],"study_design_scores_gemma":[0.0001456815,0.0001101515,0.2815785,0.0001213248,0.00007418164,0.0008945758,0.0007672259,0.663443,0.006154777,0.01898419,0.02756066,0.0001657651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456349,0.000430446,0.01303401,0.0009345348,0.00006689253,0.0001454926,0.02859869,0.0003673354,0.01078776],"genre_scores_gemma":[0.9449988,0.00009232011,0.01617898,0.00004657605,0.0000299592,0.00007711942,0.03755251,0.00006263681,0.0009610101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03597347,"threshold_uncertainty_score":0.07152814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177050137678975,"score_gpt":0.2670093371077388,"score_spread":0.2252388357309491,"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."}}