{"id":"W4404729791","doi":"10.1002/num.23161","title":"An Adaptive Time Filter Algorithm for the 2D/3D Unsteady Triple‐Porosity Stokes Model Arising in Super‐Hydrophobic Proppant Modification in Hydraulic Fracturing Systems","year":2024,"lang":"en","type":"article","venue":"Numerical Methods for Partial Differential Equations","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Porosity; Filter (signal processing); Hydraulic fracturing; Algorithm; Mathematics; Petroleum engineering; Materials science; Computer science; Composite material; Geology; Computer vision","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":[0.001021656,0.0002130261,0.0003268473,0.0002245794,0.0002893145,0.000238971,0.0002598611,0.0001265613,0.00006575934],"category_scores_gemma":[0.0001476153,0.0001532488,0.0001329466,0.0003302457,0.00008428669,0.0004306261,0.00001398532,0.0002885582,0.00001331293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000495324,"about_ca_system_score_gemma":0.00009277825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004641268,"about_ca_topic_score_gemma":0.00002756344,"domain_scores_codex":[0.9978907,0.0005008691,0.0005074433,0.00048619,0.000208792,0.0004060388],"domain_scores_gemma":[0.9981652,0.001348822,0.00008986633,0.0002450901,0.00005287646,0.00009808704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001477964,0.0001403683,0.0000756209,0.00004758966,0.00003878403,0.000001215934,0.001131964,0.1700577,0.005724602,0.0003405442,0.0001399918,0.8221539],"study_design_scores_gemma":[0.0002826646,0.00022409,0.0004020376,0.00005777903,0.00006497414,0.000001522736,0.0001326728,0.9924027,0.00375941,0.001962854,0.0004979181,0.0002114029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01137613,0.000436974,0.9855601,0.0002821884,0.0005787208,0.00138395,0.0002081331,0.0001476272,0.00002614517],"genre_scores_gemma":[0.8525971,0.00001507506,0.1465746,0.0000952292,0.0001628623,0.0001949383,0.0002740242,0.00001409554,0.00007207235],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.841221,"threshold_uncertainty_score":0.701624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07162152383557564,"score_gpt":0.3512963714937706,"score_spread":0.2796748476581949,"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."}}