{"id":"W2312669359","doi":"10.1021/es503742n","title":"Quantifying the Benefit of Wellbore Leakage Potential Estimates for Prioritizing Long-Term MVA Well Sampling at a CO<sub>2</sub>Storage Site","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; U.S. Department of Energy","keywords":"Wellbore; Leakage (economics); Environmental science; Sampling (signal processing); Term (time); Petroleum engineering; Geology; Engineering","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":[0.0115506,0.0007143139,0.000660231,0.001454247,0.0003556916,0.001725046,0.000831873,0.0008700391,0.001176994],"category_scores_gemma":[0.07272261,0.000533747,0.0005901285,0.0009265252,0.0005752276,0.002256606,0.00109515,0.0006176335,0.0001524966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431237,"about_ca_system_score_gemma":0.002224351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008998074,"about_ca_topic_score_gemma":0.01223806,"domain_scores_codex":[0.9954433,0.003047343,0.0001952488,0.0005296435,0.0006147606,0.0001696131],"domain_scores_gemma":[0.9089345,0.07835314,0.006135921,0.002480301,0.003547452,0.0005486821],"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":[0.0005526887,0.0001332522,0.07828575,0.0002092505,0.0002038657,0.0001178086,0.0003518404,0.8072006,0.004519235,0.00509395,0.00035598,0.1029758],"study_design_scores_gemma":[0.00003836715,0.0004430089,0.0181474,0.0000473964,0.00008139331,0.00008221322,0.0002621881,0.970188,0.004265831,0.005684773,0.0007191735,0.00004022826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6221103,0.0004728044,0.3698652,0.0007955055,0.00002165537,0.0004213396,0.0005135758,0.0004281648,0.005371453],"genre_scores_gemma":[0.9447159,0.0001010552,0.05471591,0.00003588487,0.000006706071,0.00005761388,0.0001298919,0.00002156794,0.0002155333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0115506,"threshold_uncertainty_score":0.06108618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008825266935638133,"score_gpt":0.2164704371980389,"score_spread":0.2076451702624008,"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."}}