{"id":"W2594821021","doi":"10.1190/tle36030206.1","title":"Introduction to this special section: Data analytics and machine learning","year":2017,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Workflow; Analytics; Data science; Computer science; Section (typography); Field (mathematics); Process (computing); Data analysis; Data mining; Database; Programming language; Mathematics","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":[0.0005848638,0.0000846016,0.0001048293,0.00005239096,0.000346293,0.0001823104,0.0003294956,0.00003907762,0.00009126579],"category_scores_gemma":[0.0003904306,0.00006913683,0.0000123318,0.0000628957,0.00002370935,0.0001863995,0.0001297569,0.0002648461,0.00007144125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002683627,"about_ca_system_score_gemma":0.000002922766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001346621,"about_ca_topic_score_gemma":0.00001558004,"domain_scores_codex":[0.9995137,0.00002827228,0.00009631181,0.0001479894,0.00008667701,0.0001270618],"domain_scores_gemma":[0.9991361,0.00006247216,0.00002171477,0.0007176742,0.00001528098,0.00004669015],"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":[0.00000685197,0.000002084315,0.0007960983,0.00002301062,0.00002889807,0.000001171579,0.0003973989,0.9277043,0.001048404,0.0001616756,0.05539649,0.01443365],"study_design_scores_gemma":[0.00007743426,0.000008335684,0.001186873,0.000005906336,0.00001114457,0.000005318687,0.000007802899,0.5056354,0.0002564898,0.00002313973,0.4927104,0.0000717365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4198208,0.0008199005,0.4849358,0.01191998,0.02256894,0.0004880554,0.00003612318,0.001403329,0.05800717],"genre_scores_gemma":[0.9046392,0.0002196339,0.01274498,0.00004331055,0.06008659,0.000005416021,0.0000497419,0.00007908823,0.02213207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4848184,"threshold_uncertainty_score":0.2819318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07011569049119239,"score_gpt":0.3130137345675015,"score_spread":0.2428980440763091,"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."}}