{"id":"W386108676","doi":"10.2118/166146-pa","title":"Environmental Regulation of Hydraulic Fracturing","year":2015,"lang":"en","type":"article","venue":"SPE Production & Operations","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic fracturing; Liberian dollar; Scrutiny; Petroleum engineering; Scope (computer science); Engineering; Directional drilling; Coalbed methane; Business; Natural resource; Government (linguistics); Natural resource economics; Position (finance); State (computer science); Economy; Coal; Economics; Coal mining; Political science; Finance; Drilling; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001376527,0.0001023179,0.00008914731,0.000008757475,0.0001137652,0.00001213888,0.00008865283,0.00004379684,0.001762635],"category_scores_gemma":[0.00001804749,0.0001006135,0.00003265434,0.0001130545,0.0001861003,0.0004226612,0.00008768086,0.00007568497,0.0004038573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236622,"about_ca_system_score_gemma":0.000007818149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001276708,"about_ca_topic_score_gemma":0.00002877843,"domain_scores_codex":[0.9990947,0.0000308639,0.0002099226,0.000260269,0.000277161,0.0001271242],"domain_scores_gemma":[0.999601,0.000002822207,0.00005180172,0.0002549897,0.000003051165,0.00008632761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000007056721,0.00009032485,0.02593562,0.000001060756,0.000004644791,2.148503e-7,0.0006800091,0.9489014,0.01918163,0.00003311043,0.000470434,0.004694555],"study_design_scores_gemma":[0.001152034,0.0003748796,0.6414976,0.00002003912,0.0001010774,0.00009559921,0.004030213,0.2336793,0.05060618,0.001773706,0.0657263,0.0009430986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532443,0.00002951742,0.03893406,0.0009102645,0.000287546,0.0002467797,0.000001916359,0.00003783316,0.006307797],"genre_scores_gemma":[0.8989389,0.00001898917,0.09662609,0.00005688568,0.0000865574,0.00001281068,0.00001660592,0.00001300494,0.004230159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.715222,"threshold_uncertainty_score":0.9991499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140795692054261,"score_gpt":0.209275673999905,"score_spread":0.1978677170793624,"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."}}