{"id":"W2910693170","doi":"10.1029/2018wr023435","title":"Benchmarking NAPL Redirection and Matrix Entry at Fracture Intersections Below the Water Table","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Boeing","keywords":"Fracture (geology); Discretization; Benchmark (surveying); Intersection (aeronautics); Mechanics; Multiphase flow; Matrix (chemical analysis); Flow (mathematics); Flux (metallurgy); Geotechnical engineering; Petroleum engineering; Materials science; Geology; Engineering; Mathematics; Physics; Mathematical analysis","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":[0.0003556312,0.0002387531,0.0003879448,0.0004230324,0.0003814273,0.000637835,0.0006045039,0.0006401727,0.001473295],"category_scores_gemma":[0.001454673,0.0001565539,0.0002503662,0.0003304034,0.000385604,0.0005730068,0.0004119681,0.0004471304,0.0001734257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008480634,"about_ca_system_score_gemma":0.0007694443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01531675,"about_ca_topic_score_gemma":0.01181077,"domain_scores_codex":[0.9998367,0.00003197136,0.000008299608,0.00003352567,0.00004228135,0.00004717775],"domain_scores_gemma":[0.9992025,0.0004698395,0.00006540217,0.00006426331,0.0001325545,0.00006536052],"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":[0.0001920203,0.0001304105,0.01206176,0.00002442226,0.000008705477,0.0001179336,0.0000446151,0.972609,0.008094662,0.0009897179,0.0001575496,0.0055692],"study_design_scores_gemma":[0.000008937668,0.00007055927,0.001361448,0.000001630922,0.000001902009,0.000007324206,0.00003406165,0.9923862,0.005891502,0.0001349664,0.00009615719,0.000005402813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928783,0.00001329692,0.005303782,0.00002664267,0.000004989812,0.00001499981,0.000186179,0.0001199187,0.001452001],"genre_scores_gemma":[0.9975243,0.000007165883,0.002026903,0.000002726308,7.943321e-7,0.000007881179,0.0001192023,0.000008394464,0.0003025601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01531675,"threshold_uncertainty_score":0.03045523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00998830713891247,"score_gpt":0.2544794530893429,"score_spread":0.2444911459504305,"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."}}