{"id":"W3207047737","doi":"10.1029/2021ms002523","title":"Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering","year":2021,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Environment and Climate Change Canada","funders":"","keywords":"Discretization; Quadrilateral; Grid; Polygon mesh; Mesh generation; Geology; Geometry; Applied mathematics; Computer science; Mathematics; Mathematical analysis; Finite element method; Physics","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":[0.0004264753,0.0003792245,0.0003731677,0.000422215,0.0002820978,0.0006853003,0.0006646509,0.0007012325,0.001157016],"category_scores_gemma":[0.001796662,0.0002096815,0.000439241,0.0005635706,0.0007103251,0.0004196865,0.0005237924,0.0004397429,0.0001105694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006695648,"about_ca_system_score_gemma":0.0006167687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423195,"about_ca_topic_score_gemma":0.008338455,"domain_scores_codex":[0.9998165,0.00006181675,0.00001541209,0.00002196642,0.00004247854,0.00004191531],"domain_scores_gemma":[0.998992,0.0005783296,0.0001221326,0.0001009887,0.0001204029,0.00008606133],"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":[0.00006797363,0.0000555689,0.002136026,0.00002160448,0.00001007273,0.00006368382,0.0000367777,0.9928911,0.001683376,0.001004003,0.00008456318,0.00194531],"study_design_scores_gemma":[0.000008451157,0.00002617131,0.0002791868,0.000002790997,0.000001752877,0.000005174323,0.00002028126,0.9988872,0.0004976805,0.0002006993,0.00006782926,0.000002657285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569626,0.00009470744,0.03703082,0.0001190802,0.0000460206,0.00005086317,0.00017395,0.0001794034,0.005342578],"genre_scores_gemma":[0.9858742,0.00003742969,0.01340429,0.00001723937,0.000002919792,0.00002559108,0.0001037999,0.00002015317,0.0005144122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423195,"threshold_uncertainty_score":0.0282982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122562603754665,"score_gpt":0.2301051097759459,"score_spread":0.2188794837383992,"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."}}