{"id":"W2888100642","doi":"10.1007/s11242-018-1136-9","title":"Comparison of Flow and Transport Experiments on 3D Printed Micromodels with Direct Numerical Simulations","year":2018,"lang":"en","type":"article","venue":"Transport in Porous Media","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Energi Simulation","keywords":"Micromodel; Materials science; Flow (mathematics); Surface finish; Scale (ratio); 3D printing; 3d printed; Mechanics; Composite material; Porous medium; Engineering; Porosity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007355083,0.0006129169,0.000694112,0.0007464198,0.0004862718,0.0008711491,0.0007243631,0.0009887411,0.003388498],"category_scores_gemma":[0.001917835,0.0003272778,0.0006261822,0.0007517331,0.000692784,0.0008322837,0.0004227905,0.0008777835,0.0003233434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008575501,"about_ca_system_score_gemma":0.0007869727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004176263,"about_ca_topic_score_gemma":0.002744136,"domain_scores_codex":[0.9994987,0.00005026945,0.00006023193,0.00008613833,0.0002341393,0.0000704458],"domain_scores_gemma":[0.9983217,0.000879914,0.000108241,0.0003041669,0.0003301794,0.00005576137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006456954,0.0006846631,0.003489298,0.0007274573,0.00005567307,0.0003485254,0.000438983,0.4102817,0.5489228,0.004776265,0.001184217,0.02844469],"study_design_scores_gemma":[0.00008268165,0.0002548057,0.002093211,0.00002688305,0.00001671229,0.00005891581,0.00008240668,0.7250801,0.270028,0.0007814075,0.001442807,0.00005199138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065168,0.0005194438,0.07946455,0.0003841833,0.0001720209,0.0003089702,0.002098955,0.001920803,0.008614229],"genre_scores_gemma":[0.9505107,0.0004669728,0.04602773,0.00005298467,0.00002286836,0.000243617,0.0008545019,0.0001620811,0.00165848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004176263,"threshold_uncertainty_score":0.01133567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902833844697445,"score_gpt":0.2820695651838896,"score_spread":0.2630412267369152,"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."}}