{"id":"W4400928785","doi":"10.1007/s10596-024-10295-w","title":"Characterizing competitive adsorption and diffusion of methane and carbon dioxide in kerogen type-III slit model","year":2024,"lang":"en","type":"article","venue":"Computational Geosciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"King Abdullah University of Science and Technology; National Natural Science Foundation of China","keywords":"Kerogen; Methane; Adsorption; Slit; Diffusion; Carbon dioxide; Gaseous diffusion; Hydrogeology; Materials science; Chemistry; Thermodynamics; Geology; Geotechnical engineering; Physical chemistry; Physics; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003394312,0.0004981927,0.001014676,0.0004567419,0.000589126,0.0009781865,0.00124459,0.002103862,0.001445363],"category_scores_gemma":[0.001454276,0.0003939568,0.0007503437,0.0004284695,0.0008961389,0.0009833284,0.0006499732,0.000715942,0.0001467924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142542,"about_ca_system_score_gemma":0.001321982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379011,"about_ca_topic_score_gemma":0.009341158,"domain_scores_codex":[0.9998469,0.00002963337,0.000005526269,0.00002872734,0.00002200607,0.00006711399],"domain_scores_gemma":[0.9989899,0.000557365,0.0001327595,0.00005200316,0.0001064334,0.0001615343],"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":[0.0002025247,0.0001575573,0.00428134,0.0000888921,0.00006005644,0.0002614539,0.00004546048,0.9560992,0.01348122,0.02402193,0.0005037868,0.0007964803],"study_design_scores_gemma":[0.000006451766,0.0000100389,0.0002365674,7.781562e-7,0.00000362465,0.000007555788,0.000008547846,0.9988782,0.0003450093,0.0004755463,0.00002406846,0.000003671257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728096,0.0003289067,0.01892867,0.0004691983,0.00003299836,0.00002459378,0.0002253794,0.0001241102,0.007056531],"genre_scores_gemma":[0.9954483,0.0001125566,0.001638759,0.00003915971,0.00001077219,0.00002064749,0.00008749757,0.00002149623,0.002620722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02379011,"threshold_uncertainty_score":0.04730332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489164788916071,"score_gpt":0.242435508963354,"score_spread":0.2275438610741933,"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."}}