{"id":"W3078983712","doi":"10.1016/j.jngse.2020.103551","title":"Parameters selection for experiment on aqueous phase trapping damage in shale gas reservoirs","year":2020,"lang":"en","type":"article","venue":"Journal of Natural Gas Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Hydraulic fracturing; Oil shale; Petroleum engineering; Brine; Permeability (electromagnetism); Tight gas; Saturation (graph theory); Geology; Geomechanics; Well stimulation; Relative permeability; Slippage; Mineralogy; Geotechnical engineering; Chemistry; Reservoir engineering; Petroleum; Materials science; Composite material","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":[0.0004007586,0.0006380198,0.0003122343,0.0004637389,0.0003747428,0.0004132022,0.0005463384,0.0006389295,0.002106374],"category_scores_gemma":[0.001427571,0.0002290841,0.0003670791,0.0002579511,0.0002561307,0.0007841087,0.0003863508,0.0003109335,0.0002333442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880286,"about_ca_system_score_gemma":0.0003061643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444672,"about_ca_topic_score_gemma":0.001102141,"domain_scores_codex":[0.999842,0.00002779772,0.00001305321,0.00004257083,0.00003642585,0.00003797629],"domain_scores_gemma":[0.9994062,0.0002711294,0.00006356611,0.00008548878,0.000143921,0.00002967252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0024077,0.0008133939,0.02177829,0.001049527,0.0002041593,0.0006645103,0.0005067798,0.4060823,0.4621235,0.002009118,0.002116473,0.1002442],"study_design_scores_gemma":[0.0001053449,0.001108645,0.01571573,0.00005315554,0.0001694684,0.0001939989,0.0003468303,0.5687985,0.4099724,0.001516852,0.001935307,0.00008368667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371148,0.0003279365,0.05892476,0.0001168393,0.0000325964,0.0001247809,0.000352585,0.0005352445,0.002470357],"genre_scores_gemma":[0.9942592,0.00006066757,0.005030989,0.00001296524,0.00000194768,0.00006523202,0.0001232804,0.00002011106,0.0004256767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002106374,"threshold_uncertainty_score":0.007046521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264976355839201,"score_gpt":0.263109949582453,"score_spread":0.240460186024061,"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."}}