{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004140164,0.002641011,0.002972447,0.00629611,0.001657747,0.006699344,0.002589951,0.004537662,0.05411442],"category_scores_gemma":[0.01620606,0.001168158,0.002016173,0.005184066,0.002552052,0.007065635,0.003739806,0.01109818,0.0473866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515576,"about_ca_system_score_gemma":0.001969561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008048985,"about_ca_topic_score_gemma":0.001263719,"domain_scores_codex":[0.9968036,0.0007070104,0.0004804936,0.000750364,0.001092188,0.0001662578],"domain_scores_gemma":[0.9798658,0.01194614,0.0008837882,0.001919636,0.003753214,0.001631442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003460839,0.00007885029,0.0004088568,0.0009019636,0.0000599133,0.0001913755,0.00007786918,0.0007273952,0.0006202834,0.01468267,0.8404152,0.141801],"study_design_scores_gemma":[0.000006931996,0.00005917362,0.0005182577,0.000582936,0.0000160905,0.0007503789,0.0000400983,0.001002289,0.0001977415,0.02187538,0.9749098,0.0000408823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0007989245,0.2153187,0.1436516,0.05938397,0.5262348,0.0004495339,0.00155209,0.002219958,0.05039049],"genre_scores_gemma":[0.00441922,0.1773617,0.03303834,0.03254242,0.6639915,0.0005102282,0.002336972,0.001918451,0.08388116],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05411442,"threshold_uncertainty_score":0.1810308,"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."}}