{"id":"W2949338561","doi":"10.48550/arxiv.1306.6539","title":"Multiscale reverse-time-migration-type imaging using the dyadic parabolic decomposition of phase space","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fourier transform; Mathematics; Boundary (topology); Seismic migration; Mathematical analysis; Wave packet; Representation (politics); Homogeneous; Phase (matter); Basis function; 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":[0.000305809,0.0004592199,0.0002620164,0.0005378415,0.000186554,0.000837094,0.0006020032,0.0004047605,0.001516103],"category_scores_gemma":[0.0007926932,0.0002269373,0.0003846164,0.0004754902,0.0005690796,0.001172712,0.0009689876,0.0007788019,0.000380217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600334,"about_ca_system_score_gemma":0.0003990057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007856289,"about_ca_topic_score_gemma":0.0007103352,"domain_scores_codex":[0.9999065,0.00002206092,0.000004750198,0.00002051012,0.00003245155,0.0000137238],"domain_scores_gemma":[0.9998584,0.00003399868,0.00002077283,0.00003509049,0.0000364922,0.00001531771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008543403,0.00006094955,0.0008920413,0.0001209032,0.0000250304,0.0002995656,0.0003543348,0.1393981,0.1513691,0.6164908,0.00160509,0.08929861],"study_design_scores_gemma":[0.000009336322,0.00002357277,0.0002063759,0.000007522908,0.00000558803,0.0001235681,0.00003864244,0.9356598,0.01175453,0.04936637,0.002790765,0.00001389451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01401295,0.00003642425,0.9840124,0.00009242255,0.0000173321,0.00001504495,0.00003200554,0.00008774584,0.001693682],"genre_scores_gemma":[0.2362958,0.0003009131,0.7585468,0.00007493819,0.00004687634,0.00007248983,0.0001266176,0.0001223481,0.004413202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001516103,"threshold_uncertainty_score":0.005071878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04611432020781937,"score_gpt":0.2179589047107296,"score_spread":0.1718445845029102,"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."}}