{"id":"W1865313205","doi":"10.3968/5122","title":"A Big Data Mining in Petroleum Exploration and Development","year":2014,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Nonlinear system; Artificial neural network; Artificial intelligence; Algorithm; Dimension (graph theory); Data mining; Machine learning; Residual; Dimensionality reduction; Computer science; Pattern recognition (psychology); Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001169629,0.0007554038,0.0005278342,0.00351483,0.001471064,0.002733528,0.0008709283,0.001229415,0.001597082],"category_scores_gemma":[0.003072214,0.0003566455,0.0006629258,0.007750463,0.00140638,0.005475651,0.001332417,0.001526059,0.0003453765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439819,"about_ca_system_score_gemma":0.001359587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007097033,"about_ca_topic_score_gemma":0.009053831,"domain_scores_codex":[0.9988545,0.000352224,0.00008771939,0.0002125332,0.0004196062,0.00007337706],"domain_scores_gemma":[0.9986736,0.0006190393,0.0001909459,0.0001381874,0.0002718984,0.0001063806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004513713,0.0003744306,0.08092654,0.00246534,0.000344369,0.006357723,0.002436645,0.07575141,0.005791724,0.2507289,0.05108996,0.5232817],"study_design_scores_gemma":[0.00006599734,0.0002846057,0.06007075,0.0008973314,0.000197346,0.003086553,0.00922037,0.3421701,0.01265598,0.3728321,0.1982482,0.0002707155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2304928,0.03868091,0.60592,0.05767487,0.0017277,0.0006426004,0.005862956,0.001206282,0.05779196],"genre_scores_gemma":[0.7588617,0.02040248,0.2043272,0.002288908,0.0006207772,0.0003260204,0.002251695,0.00008768753,0.0108335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007097033,"threshold_uncertainty_score":0.01411146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06086405424033452,"score_gpt":0.2645926989825979,"score_spread":0.2037286447422633,"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."}}