{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007383103,0.0008525184,0.0003013751,0.002464826,0.001011357,0.00195682,0.0007364485,0.0004602965,0.002633424],"category_scores_gemma":[0.001895353,0.0003471184,0.0003128147,0.00262742,0.001198153,0.0004741489,0.0009277097,0.0004211995,0.0003229924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005750318,"about_ca_system_score_gemma":0.009212542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7400991,"about_ca_topic_score_gemma":0.8449717,"domain_scores_codex":[0.9995269,0.00005239136,0.00001773613,0.00006305385,0.0002794124,0.00006056761],"domain_scores_gemma":[0.9995152,0.0001037724,0.0000446568,0.00005636751,0.000250563,0.00002943384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003814719,0.00009150321,0.02536456,0.0003289985,0.00009528394,0.001118768,0.0039204,0.4916112,0.05994876,0.03979421,0.007344339,0.3700005],"study_design_scores_gemma":[0.00008038818,0.00004962293,0.04456419,0.0001149465,0.00006512505,0.0002408271,0.00293705,0.8759525,0.02144727,0.01761266,0.03675533,0.0001801533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4262029,0.0004185734,0.5124065,0.001766877,0.00006194644,0.0002895381,0.005139625,0.007296859,0.0464173],"genre_scores_gemma":[0.8222868,0.0002562738,0.1710702,0.00005388662,0.000009101289,0.0000455695,0.00113593,0.0002523293,0.00488985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2599009,"threshold_uncertainty_score":0.522863,"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."}}