{"id":"W2166184022","doi":"10.1190/1.2967559","title":"Spectral decomposition using Wigner-Ville distribution with applications to carbonate reservoir characterization","year":2008,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Carbonate; Characterization (materials science); Decomposition; Reservoir modeling; Geology; Wigner distribution function; Materials science; Chemistry; Petroleum engineering; Physics; Nanotechnology; Quantum; Metallurgy; Organic chemistry","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":[0.0001321231,0.00007714145,0.00007538789,0.00004468005,0.0004541761,0.00003073141,0.0001397216,0.00002559592,0.00004257149],"category_scores_gemma":[0.000005677122,0.00005313713,0.00001956912,0.000278605,0.00006864071,0.0001546693,0.000007513727,0.00008799332,0.0001163368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002033871,"about_ca_system_score_gemma":0.00002424224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007398237,"about_ca_topic_score_gemma":0.00002210982,"domain_scores_codex":[0.9994248,0.00004154017,0.00009352327,0.0001466987,0.0001248021,0.0001686977],"domain_scores_gemma":[0.9996892,0.00002724053,0.00004646589,0.0001585195,0.00003494124,0.00004361322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001067642,0.0002810954,0.5392777,0.0001477886,0.0001817053,0.00009088757,0.01265806,0.06228446,0.1950947,0.003972673,0.05314675,0.1317965],"study_design_scores_gemma":[0.0006310534,0.0004857085,0.3272721,0.0001928377,0.00008685633,0.000579268,0.0003322285,0.3786906,0.07587786,0.001353398,0.2135417,0.0009563305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359189,0.00002149296,0.06044498,0.001157242,0.00007081436,0.0002406666,0.00005307674,0.0001398051,0.001953068],"genre_scores_gemma":[0.9969982,0.00001482569,0.001482949,0.0005758046,0.0001418348,0.000004178267,0.000488279,0.000003875579,0.0002900649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3164062,"threshold_uncertainty_score":0.3493201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646493153276344,"score_gpt":0.2516994800944737,"score_spread":0.2252345485617102,"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."}}