{"id":"W2494440777","doi":"10.1190/int-2015-0135.1","title":"Hydrocarbon detection for Ordovician carbonate reservoir using amplitude variation with offset and spectral decomposition","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"PetroChina Company Limited","keywords":"Carbonate; Geology; Amplitude; Carbonate rock; Mineralogy; Saturation (graph theory); Attenuation; Brine; Sedimentary rock; Optics; Geochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001834035,0.0002947292,0.000169759,0.001672883,0.0002143463,0.0002321401,0.0002161212,0.0001984257,0.0005665146],"category_scores_gemma":[0.0003817185,0.0001116963,0.0002320381,0.001150175,0.0001249308,0.0001864672,0.0002854532,0.0001429188,0.0001134528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551718,"about_ca_system_score_gemma":0.0002471226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006173124,"about_ca_topic_score_gemma":0.01373886,"domain_scores_codex":[0.9998949,0.000009624897,0.000005265134,0.00002036511,0.00004358383,0.00002630441],"domain_scores_gemma":[0.9997727,0.00004258148,0.00004098529,0.00001641487,0.00009687623,0.00003035532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000478741,0.0001298593,0.3728592,0.0002265884,0.0001216632,0.00127493,0.0004670206,0.0187808,0.4071052,0.0005149185,0.0006813935,0.1973597],"study_design_scores_gemma":[0.00003308621,0.0002413482,0.6011376,0.00002663774,0.0001144014,0.0008158323,0.0005006993,0.3100913,0.08443911,0.0003727328,0.00214616,0.00008099147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981754,0.00007756327,0.01653348,0.00003003277,0.000009000856,0.00001405878,0.0002862817,0.0001656437,0.001129793],"genre_scores_gemma":[0.9841217,0.00003487655,0.01529377,0.000006029481,0.000005477218,0.000005788185,0.0002360573,0.00001546203,0.000280726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006173124,"threshold_uncertainty_score":0.01227438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053173266277888,"score_gpt":0.2404658152583929,"score_spread":0.229934082595614,"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."}}