{"id":"W2078952772","doi":"10.2118/168100-ms","title":"Design and Evaluation of Hydraulic Fracturing in Tight Gas Reservoirs","year":2013,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hydraulic fracturing; Tight gas; Boom; Petroleum engineering; Unconventional oil; Well stimulation; Fracture (geology); Production (economics); Reservoir engineering; Computer science; Environmental science; Geology; Fossil fuel; Engineering; Economics; Geotechnical engineering; Environmental engineering; Waste management; Petroleum","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005603632,0.000426466,0.0004784669,0.0005561721,0.0003109592,0.0006609185,0.0004149464,0.0006353256,0.001925794],"category_scores_gemma":[0.000978502,0.0002831357,0.0003271904,0.0002419425,0.0004186538,0.0003489853,0.0004050396,0.000245738,0.0001489171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000496964,"about_ca_system_score_gemma":0.0007296775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741682,"about_ca_topic_score_gemma":0.002229704,"domain_scores_codex":[0.9997377,0.00007991045,0.00001426273,0.00003089967,0.00009128523,0.00004596418],"domain_scores_gemma":[0.9995586,0.0002250015,0.00007938559,0.00002697664,0.00008001555,0.00002997883],"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":[0.0002826303,0.0000828436,0.001460022,0.0002088004,0.00002092849,0.000149666,0.0000589611,0.9067528,0.0641271,0.001999121,0.0001209853,0.02473612],"study_design_scores_gemma":[0.00002648023,0.0007386063,0.0009659858,0.00001275449,0.00002476344,0.00002917306,0.00005399679,0.9751465,0.02173945,0.0006219594,0.0006258921,0.00001449542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5951583,0.0002605255,0.3954419,0.0001167996,0.00002728978,0.0002773946,0.0001188681,0.000311498,0.008287307],"genre_scores_gemma":[0.9862339,0.00003891295,0.01290319,0.000003829254,0.000001230229,0.00005335402,0.0000117537,0.000008560424,0.0007452705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001925794,"threshold_uncertainty_score":0.006442428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953797138114878,"score_gpt":0.2405036637389597,"score_spread":0.2209656923578109,"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."}}