{"id":"W2094478201","doi":"10.1190/geo2013-0429.1","title":"Application of seismic attributes and spectral decomposition for reservoir characterization of a complex fluvial system: Case study of the Carbonera Formation, Llanos foreland basin, Colombia","year":2014,"lang":"en","type":"article","venue":"Geophysics","topic":"Geological and Tectonic Studies in Latin America","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Geology; Fluvial; Foreland basin; Structural basin; Channel (broadcasting); Seismic attribute; Paleontology; Reservoir modeling; Geomorphology; Hydrocarbon exploration; Petrology; Geotechnical engineering","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":[0.0001353222,0.00007092975,0.000217048,0.00001769415,0.0001358064,0.000005045422,0.0000810395,0.0000237252,0.000008438289],"category_scores_gemma":[0.00002154825,0.00004785207,0.00003557583,0.0001420352,0.00009920117,0.00004951451,0.00002071417,0.00003529493,4.541161e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003180317,"about_ca_system_score_gemma":0.000006430706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136868,"about_ca_topic_score_gemma":0.0002200277,"domain_scores_codex":[0.9993286,0.00008111435,0.0002756778,0.0001076375,0.0001127496,0.00009429589],"domain_scores_gemma":[0.9992365,0.0001845272,0.0003175865,0.0001339016,0.0001097974,0.0000176581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003078289,0.000332082,0.9318983,0.0008858739,0.0001168594,0.000001766871,0.00314469,0.004869037,0.01157969,0.0009179367,0.00004731289,0.04589863],"study_design_scores_gemma":[0.000553148,0.000604618,0.8323246,0.00001546085,0.00004846014,0.00002091268,0.0005326619,0.1648832,0.0005548266,0.0003831026,0.00002426432,0.00005478207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931222,0.000007032425,0.005750928,0.00004385233,0.00005769294,0.000669769,0.0001488592,0.000008791193,0.0001909359],"genre_scores_gemma":[0.9995784,0.000002234112,0.0002291286,0.00001405751,0.00003861931,0.00001011111,0.0001237986,0.000001582318,0.000002082566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1600141,"threshold_uncertainty_score":0.3230319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286688574477959,"score_gpt":0.2196215523861055,"score_spread":0.2067546666413259,"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."}}