{"id":"W2049596582","doi":"10.3997/2214-4609.20143950","title":"Quantitative Seismic Interpretation in the Canadian Oil Sands","year":2012,"lang":"en","type":"article","venue":"Proceedings","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Lithology; Geology; Interpretation (philosophy); Petroleum engineering; Reservoir modeling; Drilling; Oil sands; Seismic to simulation; Seismic attribute; Characterization (materials science); Quality (philosophy); Dimension (graph theory); Petrology; Seismic inversion; Computer science; Database; Engineering; Azimuth; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004027158,0.00007421548,0.00006717662,0.0001435343,0.00004032157,0.00005138044,0.0001013029,0.0000471805,0.000009232954],"category_scores_gemma":[0.00009992197,0.00005976203,0.00001873312,0.0002561299,0.000009668374,0.0002656692,0.00000404252,0.0001552121,0.00002254738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009606242,"about_ca_system_score_gemma":0.000009312641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422487,"about_ca_topic_score_gemma":0.001113346,"domain_scores_codex":[0.9995292,0.000007093728,0.000104344,0.0000525818,0.00009199018,0.0002148184],"domain_scores_gemma":[0.9998062,0.00004990367,0.000009513864,0.00003864001,0.00002821893,0.00006747976],"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":[0.00001703076,0.00001918551,0.03143127,0.0002932589,0.00003412848,0.000001501223,0.05812169,0.8721617,0.001656972,0.01946881,0.002749887,0.0140445],"study_design_scores_gemma":[0.0001142005,0.000009858942,0.01238719,0.00002617355,0.000004073888,0.000003526477,0.0006773511,0.9784073,0.0002337012,0.0002033615,0.007827025,0.0001062797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375879,0.0003630939,0.004902908,0.0001863574,0.0002183578,0.00004775592,0.000001375115,0.0001008952,0.05659141],"genre_scores_gemma":[0.9953812,0.00001145197,0.0043743,0.00007478715,0.00005806708,0.00002298783,0.00000241511,0.00001404926,0.00006075632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062455,"threshold_uncertainty_score":0.2437025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370089645368224,"score_gpt":0.280404399928877,"score_spread":0.2567035034751948,"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."}}