{"id":"W3166680278","doi":"10.1080/07373937.2021.1933017","title":"Pore-scale simulation of drying in porous media using a hybrid lattice Boltzmann: pore network model","year":2021,"lang":"en","type":"article","venue":"Drying Technology","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Los Alamos National Laboratory; Laboratory Directed Research and Development; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Lattice Boltzmann methods; Porous medium; Porosity; Materials science; Work (physics); Saturation (graph theory); Phase (matter); Mechanics; Thermodynamics; Chemistry; Composite material; Physics; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002512539,0.0002597478,0.000543954,0.0004181053,0.0001037253,0.00001879032,0.0002149753,0.0002701413,0.00001190061],"category_scores_gemma":[0.0002546341,0.0003103838,0.00007094165,0.001121654,0.0001117922,0.0002080752,0.0002381586,0.0004024456,0.000005033213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627694,"about_ca_system_score_gemma":0.00005510433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009127335,"about_ca_topic_score_gemma":0.00005918745,"domain_scores_codex":[0.9981591,0.00003188163,0.0006764462,0.0003654341,0.0002414935,0.0005257006],"domain_scores_gemma":[0.9988664,0.0002457811,0.0001429267,0.0005009493,0.0001999159,0.00004407156],"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":[0.000007950881,0.00002585887,0.008174185,0.00007497388,0.00004738967,0.0001004121,0.000528054,0.9851514,0.002685991,0.0008137836,0.00003785838,0.002352195],"study_design_scores_gemma":[0.0005153335,0.000008254275,0.0004948462,0.0001445859,0.00004993403,0.00003221676,0.0003840847,0.9825938,0.005002195,0.01033562,0.0001568243,0.0002822486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446903,0.001803532,0.05123352,0.0001538806,0.0002924706,0.0001849223,0.0000152361,0.0007644972,0.000861585],"genre_scores_gemma":[0.9737283,0.00005474337,0.02594721,0.00004630385,0.00008443431,0.00001217795,0.00003482033,0.00007167944,0.00002036523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02903791,"threshold_uncertainty_score":0.9999349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652616154705518,"score_gpt":0.2657243351305568,"score_spread":0.2391981735835016,"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."}}