{"id":"W2934758608","doi":"","title":"STUDY ON HYDRAULIC FRACTURING FLUID SELECTION TO MAXIMIZE EFFECTIVE HYDRAULIC FRACTURE LENGTH","year":2012,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic fracturing; Petroleum engineering; Fracturing fluid; Fracture (geology); Tight gas; Geology; Permeability (electromagnetism); Liquefied petroleum gas; Geotechnical engineering; Environmental science; Waste management; Engineering; Chemistry","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":[0.0006683968,0.0002990596,0.0004157131,0.000562011,0.000265353,0.0004889882,0.0003134969,0.0003170765,0.0007488221],"category_scores_gemma":[0.001401985,0.0001344835,0.0002341639,0.0004964946,0.0002336287,0.0005887757,0.000207626,0.0002731752,0.00015163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000317758,"about_ca_system_score_gemma":0.000435295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009366567,"about_ca_topic_score_gemma":0.001678913,"domain_scores_codex":[0.9996237,0.00006364728,0.00003644753,0.00006127451,0.0001587439,0.00005624137],"domain_scores_gemma":[0.9987991,0.0005887409,0.0002200471,0.00003858134,0.0003049041,0.0000485831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005583065,0.0003380252,0.004351526,0.0003480525,0.00001992644,0.0001305198,0.00009313715,0.01877545,0.9384635,0.0003402768,0.0001691031,0.03641209],"study_design_scores_gemma":[0.00002948912,0.004954588,0.005953422,0.00002718205,0.00004872332,0.0001209579,0.0001473011,0.03652792,0.9505491,0.0001198097,0.001493556,0.00002794718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903688,0.001220701,0.007037119,0.00004683312,0.00001028053,0.00005616567,0.00007281046,0.00003297813,0.001154449],"genre_scores_gemma":[0.9888242,0.0006862071,0.009792706,0.00001185699,0.000004391244,0.00002923903,0.00006653398,0.00001416892,0.0005707828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009366567,"threshold_uncertainty_score":0.003534853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00905634749807115,"score_gpt":0.239992734275859,"score_spread":0.2309363867777879,"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."}}