{"id":"W2565706996","doi":"10.1134/s0021894416050229","title":"On numerical modeling of capillary flow dynamics in a microchannel model by using the finite element method","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Mechanics and Technical Physics","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Microchannel; Mechanics; Surface tension; Finite element method; Capillary action; Capillary length; Flow (mathematics); Two-phase flow; Capillary number; Materials science; Nonlinear system; Capillary pressure; Open-channel flow; Physics; Thermodynamics; Composite material; Porous medium","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":[0.0002745787,0.0005123338,0.0007366433,0.0003311924,0.0004204538,0.0004635829,0.001055644,0.001251082,0.001611517],"category_scores_gemma":[0.0003945724,0.0002922534,0.000724852,0.0003308175,0.0005128821,0.0005535146,0.0004090196,0.0005746812,0.0003222509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004807076,"about_ca_system_score_gemma":0.0008135158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004908032,"about_ca_topic_score_gemma":0.003284984,"domain_scores_codex":[0.9998561,0.00003850199,0.000008441801,0.00002635949,0.00005467004,0.00001577778],"domain_scores_gemma":[0.9998341,0.00008028805,0.00001867016,0.00001648465,0.00004051114,0.000009899865],"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":[0.00002290332,0.00004674037,0.0004283306,0.0001416111,0.00002080431,0.0001044916,0.00007507589,0.9481627,0.02350741,0.01421722,0.0002778588,0.0129948],"study_design_scores_gemma":[0.000001963292,0.000008419233,0.00003872345,0.000004551558,0.0000021258,0.00001470928,0.000003035796,0.9979347,0.00102909,0.0003837215,0.0005748391,0.000004169254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02088004,0.0003322329,0.9741145,0.00008522702,0.00003963666,0.00007157136,0.0000800378,0.0002423554,0.004154355],"genre_scores_gemma":[0.4808452,0.001133894,0.5083867,0.00009758774,0.00003996953,0.0007370909,0.0002168531,0.0001119601,0.008430889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004908032,"threshold_uncertainty_score":0.00975889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358863492868815,"score_gpt":0.264575517561272,"score_spread":0.2409868826325838,"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."}}