{"id":"W2016856529","doi":"10.4208/cicp.181110.090811s","title":"A Constrained Level Set Method for Simulating the Formation of Liquid Bridges","year":2012,"lang":"en","type":"article","venue":"Communications in Computational Physics","topic":"Fluid Dynamics and Thin Films","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Discretization; Level set method; Constraint (computer-aided design); Mathematical optimization; Finite element method; Level set (data structures); Set (abstract data type); Process (computing); Computer science; Limit (mathematics); Applied mathematics; Bridge (graph theory); Function (biology); Mathematics; Mathematical analysis; Geometry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005344544,0.0005085173,0.0007079162,0.0005692578,0.0005169856,0.0008036872,0.001424678,0.001693207,0.002196486],"category_scores_gemma":[0.001480848,0.0005250694,0.0006971569,0.0004829782,0.0008951366,0.0007266596,0.0007575893,0.0007727742,0.000215031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007638176,"about_ca_system_score_gemma":0.0012718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005977559,"about_ca_topic_score_gemma":0.003098615,"domain_scores_codex":[0.999804,0.00007043748,0.000009965305,0.00001914276,0.00007650242,0.00001999701],"domain_scores_gemma":[0.9994346,0.0003438509,0.00005025175,0.00004068913,0.00008544198,0.00004510125],"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":[0.00001926775,0.00002420322,0.0002549073,0.00002460264,0.00001289323,0.00003839349,0.00001995671,0.9918394,0.001434279,0.00411789,0.000126994,0.002087242],"study_design_scores_gemma":[0.000002902641,0.00000340328,0.00001306411,8.598325e-7,6.962519e-7,0.000001544445,0.000001034979,0.9996013,0.00011144,0.000211006,0.00005154597,0.000001252508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1248284,0.0001704179,0.8692766,0.0001963362,0.00005891745,0.0001371633,0.0001329955,0.000279246,0.004919914],"genre_scores_gemma":[0.7088974,0.0001588191,0.2872121,0.00009480277,0.00002554772,0.0005070714,0.0002083899,0.0001088574,0.002787077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005977559,"threshold_uncertainty_score":0.01188558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09794245703987224,"score_gpt":0.3491517237470326,"score_spread":0.2512092667071604,"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."}}