{"id":"W4233455434","doi":"10.1002/div.5385","title":"Ensign Energy Services Inc","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling; Fossil fuel; Environmental science; Engineering; Waste management; Mechanical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004489952,0.001085144,0.0004678649,0.002453519,0.00129339,0.002660376,0.001006402,0.001165389,0.6049296],"category_scores_gemma":[0.001356941,0.000597088,0.0003826304,0.001730127,0.0003655062,0.002099562,0.001767197,0.001137436,0.3892703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416768,"about_ca_system_score_gemma":0.002334176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01142413,"about_ca_topic_score_gemma":0.02236463,"domain_scores_codex":[0.9990564,0.00004722512,0.00002962349,0.0001276358,0.0006682067,0.00007087315],"domain_scores_gemma":[0.999139,0.00008759637,0.00005380499,0.000151296,0.0004403096,0.0001279659],"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":[0.0001253093,0.0001230435,0.0006002291,0.0002473585,0.000006999035,0.0001235255,0.00009109614,0.0008590221,0.002199391,0.02280926,0.7131593,0.2596554],"study_design_scores_gemma":[0.00001092169,0.00001262777,0.000306237,0.0000343476,0.000002236556,0.00009164,0.00002599013,0.000766667,0.0005873143,0.0008863257,0.9972697,0.000005909795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001260385,0.0007067822,0.00453312,0.0009918232,0.0002340466,0.00008930014,0.002552365,0.003998155,0.985634],"genre_scores_gemma":[0.007349628,0.0005126495,0.002145719,0.0001506079,0.00003723667,0.00004856749,0.002592413,0.000641278,0.9865219],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6049296,"threshold_uncertainty_score":0.56352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006625044932552884,"score_gpt":0.2047893033046908,"score_spread":0.1981642583721379,"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."}}