{"id":"W2054165110","doi":"10.1115/1.4023095","title":"Flow-Induced Deformation of Poroelastic Tissues and Gels: A New Perspective on Equilibrium Pressure-Flow-Thickness Relations","year":2012,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Poromechanics; Mechanics; Dimensionless quantity; Permeability (electromagnetism); Materials science; Permeation; Hydrostatic pressure; Hydrostatic equilibrium; Pressure drop; Flow (mathematics); Solvent drag; Thermodynamics; Chemistry; Composite material; Physics; Membrane; Porous medium; Porosity","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":[0.0002357008,0.000131352,0.0002230506,0.000206134,0.00002104412,0.00002185591,0.00007082886,0.0001044168,0.00002879463],"category_scores_gemma":[0.000224627,0.0001220839,0.00005934376,0.0002138969,0.000007708546,0.0005878875,0.00001282814,0.000242025,0.000006106088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220084,"about_ca_system_score_gemma":0.00003813775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000400626,"about_ca_topic_score_gemma":6.347738e-7,"domain_scores_codex":[0.9990537,0.00001426143,0.0004417576,0.00006253233,0.0002294176,0.0001983593],"domain_scores_gemma":[0.9993787,0.000139255,0.0001215243,0.00007856484,0.0001094826,0.0001724939],"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":[0.00005439322,0.00006202593,0.00001925379,0.0001430455,0.0001995386,0.000001278273,0.004774418,0.4052398,0.5777908,0.006852867,0.0003189033,0.0045437],"study_design_scores_gemma":[0.0006427832,0.0003472118,0.0006301131,0.0002022855,0.0001077758,0.0000957607,0.0003036812,0.9183596,0.07818232,0.0004756128,0.0004522388,0.0002005918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3056714,0.001209033,0.6915948,0.0002453997,0.0008159256,0.0001566576,0.000006343006,0.00009575531,0.0002046588],"genre_scores_gemma":[0.9818175,0.00004141708,0.01786315,0.000009923186,0.0002199793,0.000001970139,0.000003203079,0.00002283397,0.00001995945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6761461,"threshold_uncertainty_score":0.4978438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299854037552482,"score_gpt":0.2388876385055681,"score_spread":0.2258890981300433,"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."}}