{"id":"W2194101387","doi":"10.1190/int-2015-0017.1","title":"Seismic attributes for description of reef growth and channel system evolution — Case study of Intisar E, Libya","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"TU Graz, Internationale Beziehungen und Mobilitätsprogramme","keywords":"Reef; Geology; Trough (economics); Seafloor spreading; Facies; Paleontology; Channel (broadcasting); Debris; Turbidity current; Structural basin; Geomorphology; Oceanography; Sedimentary depositional environment","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":[0.0003726961,0.000304826,0.0001510633,0.003650244,0.0005834336,0.0007111182,0.0003385351,0.0003388095,0.001067516],"category_scores_gemma":[0.0007420923,0.0001953166,0.0002454645,0.004066399,0.0005554947,0.0003083246,0.0006828018,0.0002626427,0.0001328617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007506476,"about_ca_system_score_gemma":0.0007037746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04775704,"about_ca_topic_score_gemma":0.0789722,"domain_scores_codex":[0.9998512,0.00003322987,0.00001420131,0.0000260768,0.00002991163,0.00004534463],"domain_scores_gemma":[0.9996355,0.0001271238,0.00007560503,0.00003111797,0.00008776721,0.00004294055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001168458,0.00008389322,0.9564239,0.00005605895,0.00003906498,0.002808895,0.001725829,0.007277442,0.004589749,0.0003974248,0.000223325,0.02625749],"study_design_scores_gemma":[0.0000122769,0.00006046984,0.9712743,0.00002466925,0.00002667799,0.000600083,0.003942945,0.02164065,0.001260895,0.0001593993,0.0009786843,0.00001886782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987717,0.00002724099,0.0002428016,0.00001805836,8.089941e-7,0.000008579428,0.0001502978,0.000007442877,0.0007729631],"genre_scores_gemma":[0.9985207,0.00004233429,0.0008965352,0.000004109568,0.000001458343,0.000008224951,0.0001847691,0.00000250302,0.0003394884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04775704,"threshold_uncertainty_score":0.09495813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493126810364817,"score_gpt":0.239765192103573,"score_spread":0.2048339239999248,"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."}}