{"id":"W4415123561","doi":"10.1190/int-2024-0156","title":"Characterizing fault features in low-density seismic coverage areas using the satellite gravity and EMAG magnetic data: A case study of the southeastern Gulf of Mexico basin","year":2025,"lang":"en","type":"article","venue":"Interpretation","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Fault (geology); Tectonics; Structural basin; Sedimentary rock; Sedimentary basin; Amplitude; Submarine pipeline; Reflection (computer programming); Boundary (topology)","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":[0.0004020455,0.0001080964,0.0001872989,0.00008360418,0.00003517256,0.00003537518,0.0001676465,0.00004530587,0.000001031799],"category_scores_gemma":[0.0001132677,0.00007737588,0.00002772625,0.0001899208,0.00002886632,0.0001256797,0.00009928025,0.0001669871,1.11261e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002109023,"about_ca_system_score_gemma":0.00001074817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005939814,"about_ca_topic_score_gemma":0.0003284641,"domain_scores_codex":[0.999157,0.000204589,0.0002923331,0.0001431258,0.0001135976,0.00008942575],"domain_scores_gemma":[0.9992461,0.0002088936,0.00006203519,0.0004272111,0.00004185264,0.00001396817],"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":[0.000046789,0.00004280248,0.06180768,0.0002565685,0.00004187854,0.0000176704,0.01432683,0.9069375,0.008219715,0.000005814186,0.000001189639,0.008295532],"study_design_scores_gemma":[0.0003284824,0.00001638324,0.1367732,0.0002598887,0.00003580037,0.00002839325,0.001475803,0.8594089,0.001541946,0.00006403514,0.000005606793,0.0000615442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401172,0.0002625183,0.05904969,0.00002282038,0.0001843974,0.0002938601,0.00001866985,0.00001948532,0.00003132699],"genre_scores_gemma":[0.9996269,0.00001251408,0.0002974659,0.00001937678,0.000008740721,0.00000364529,0.000004274597,0.00001024983,0.00001679119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07496555,"threshold_uncertainty_score":0.3155297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607445311860978,"score_gpt":0.2863339683236927,"score_spread":0.270259515205083,"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."}}