{"id":"W2905252310","doi":"10.3968/10608","title":"Comparison of Oil Well Productivity Evaluation Methods Based on Different Data","year":2018,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Petroleum engineering; Scope (computer science); Variety (cybernetics); Logging; Test data; Scale (ratio); Engineering; Computer science; Artificial intelligence; Cartography; Geography","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":[0.005515791,0.0008671118,0.0006476145,0.004828759,0.0003023233,0.00117203,0.0007018978,0.0005031703,0.0007788226],"category_scores_gemma":[0.01652058,0.0003593171,0.0007747953,0.002419554,0.0003297583,0.001956058,0.0007797378,0.0004811374,0.0002446444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007982905,"about_ca_system_score_gemma":0.0005757734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003158545,"about_ca_topic_score_gemma":0.00342368,"domain_scores_codex":[0.9963441,0.00104475,0.0004261444,0.0002959579,0.001719189,0.0001697753],"domain_scores_gemma":[0.9896678,0.005401993,0.0004722462,0.0008076989,0.0034996,0.0001507598],"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":[0.001486597,0.0003206994,0.04997898,0.001008959,0.0004560724,0.0001565151,0.0004439805,0.2129725,0.03060424,0.005509428,0.002271404,0.6947907],"study_design_scores_gemma":[0.0000827293,0.0005394489,0.04915265,0.0001134581,0.0001793314,0.0001815095,0.0004166451,0.8695785,0.0726411,0.002633841,0.004299213,0.0001815969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5185034,0.00189759,0.4634725,0.0002778755,0.0001620741,0.0003517175,0.001248812,0.00202869,0.01205736],"genre_scores_gemma":[0.8734392,0.0007772829,0.1231929,0.00003503654,0.00003014701,0.0001995364,0.0008345369,0.0001383741,0.001352973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005515791,"threshold_uncertainty_score":0.02917063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123867482568389,"score_gpt":0.4222780169823971,"score_spread":0.3098912687255583,"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."}}