{"id":"W2011174140","doi":"10.1016/j.fuel.2014.11.032","title":"Study on gas flow through nano pores of shale gas reservoirs","year":2014,"lang":"en","type":"article","venue":"Fuel","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Knudsen diffusion; Permeability (electromagnetism); Knudsen number; Advection; Oil shale; Nano-; Flow (mathematics); Materials science; Argon; Porosity; Chemistry; Petroleum engineering; Membrane; Thermodynamics; Mechanics; Geology; Composite material; Physics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000173534,0.0001329118,0.0002385616,0.0001007716,0.00003789612,0.00001932062,0.0001980937,0.00005626992,0.0001487237],"category_scores_gemma":[0.00006023351,0.0001119054,0.00009350329,0.0002877816,0.00002482026,0.00010429,0.00003144313,0.000107897,0.0001305454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001975508,"about_ca_system_score_gemma":0.000006823098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000425192,"about_ca_topic_score_gemma":0.0001283937,"domain_scores_codex":[0.9990698,0.00006086093,0.0002476111,0.0001633054,0.0002825655,0.0001758526],"domain_scores_gemma":[0.9993904,0.00004497122,0.00003258283,0.0004355199,0.00004084127,0.00005567937],"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":[0.00006360281,0.0007904487,0.009365792,0.0002801276,0.0006034038,0.00003104459,0.01599433,0.9408016,0.007607384,0.001090201,0.02167375,0.001698303],"study_design_scores_gemma":[0.00382853,0.001607345,0.007922663,0.0001984221,0.0002901826,0.000006124441,0.009402204,0.8829587,0.03593126,0.007632431,0.04893541,0.001286719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233987,0.0001571037,0.002504909,0.0003119241,0.0002531649,0.000188347,0.000007573919,0.0002253794,0.07295295],"genre_scores_gemma":[0.9989155,0.00006663299,0.0003852262,0.00004382793,0.0001062995,0.00001793279,0.00001381135,0.00002867402,0.0004221309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07551681,"threshold_uncertainty_score":0.4563368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175471213825321,"score_gpt":0.247327753741289,"score_spread":0.2255730416030358,"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."}}