{"id":"W2010979832","doi":"10.1016/j.ces.2010.10.037","title":"Compression-dependent permeability measurement for random soft porous media and its implications to lift generation","year":2010,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Office of Naval Research","keywords":"Permeameter; Porous medium; Porosity; Permeability (electromagnetism); Materials science; Microstructure; Mechanics; Composite material; Geology; Chemistry; Hydraulic conductivity; Physics; Membrane","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":[0.0007021109,0.0003412015,0.0002779128,0.00054066,0.0005701472,0.0005639293,0.0004385863,0.0004207854,0.0007689459],"category_scores_gemma":[0.003804324,0.0003011691,0.00009471075,0.000509181,0.001507324,0.0008872109,0.0006340354,0.0008509978,0.000114799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005052896,"about_ca_system_score_gemma":0.000350927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008842027,"about_ca_topic_score_gemma":0.001204448,"domain_scores_codex":[0.9994527,0.000130916,0.00002212231,0.00006877985,0.00024648,0.00007896253],"domain_scores_gemma":[0.9973332,0.00164441,0.0003915463,0.0002078628,0.0003164335,0.0001065437],"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":[0.0002760779,0.00003351135,0.001116455,0.00006594438,0.000004378444,0.00008451332,0.0001044958,0.0006736419,0.9925556,0.0009060897,0.00009867057,0.004080747],"study_design_scores_gemma":[0.00001401848,0.00007656031,0.0019382,0.000005337842,0.00000499606,0.00009783795,0.00005707446,0.008554763,0.988801,0.0002415301,0.0001930697,0.00001564895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949122,0.0005577448,0.04730923,0.0002718363,0.00004488399,0.00005878749,0.0001651681,0.0002332989,0.002236967],"genre_scores_gemma":[0.9959102,0.0001204623,0.003689354,0.00003086032,0.000009767326,0.00001930648,0.00004336753,0.00001580846,0.0001609688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008842027,"threshold_uncertainty_score":0.003713191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463475643041804,"score_gpt":0.2418866838766241,"score_spread":0.2172519274462061,"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."}}