{"id":"W2327994529","doi":"10.5194/tc-11-179-2017","title":"A comparison of two Stokes ice sheet models applied to the Marine Ice Sheet Model Intercomparison Project for plan view models (MISMIP3d)","year":2017,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences; National Key Research and Development Program of China; Chinese Academy of Sciences; Office of Science; Agence Nationale de la Recherche; York University; National Energy Research Scientific Computing Center; New York University Abu Dhabi; Grand Équipement National De Calcul Intensif; Advanced Scientific Computing Research; U.S. Department of Energy; National Science Foundation","keywords":"Ice sheet; Ice-sheet model; Flow (mathematics); Geology; Computer science; Convergence (economics); Line (geometry); Geodesy; Meteorology; Sea ice; Ice shelf; Mathematics; Geometry; Climatology; Physics; Cryosphere","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005735462,0.0003815396,0.0006942897,0.00001795754,0.001472303,0.00026527,0.00171239,0.00009348031,0.000211595],"category_scores_gemma":[0.00002708841,0.0002324135,0.0001932477,0.000205855,0.0001963716,0.0003432519,0.000269421,0.0002869445,0.00003503415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001725841,"about_ca_system_score_gemma":0.0001134835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0160992,"about_ca_topic_score_gemma":0.1501098,"domain_scores_codex":[0.9977126,0.00006161677,0.0006478034,0.0005290469,0.0004567636,0.0005921464],"domain_scores_gemma":[0.9977134,0.0003504765,0.0004405223,0.001215032,0.0001570055,0.0001235139],"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":[0.0002521502,0.0000772869,0.01231246,0.00007833503,0.0001103354,4.779961e-7,0.003626422,0.9183741,0.000007427094,0.002399422,0.02141314,0.04134839],"study_design_scores_gemma":[0.000624789,0.0001456732,0.01087068,0.00004827607,0.0001196363,0.000001659196,0.002263711,0.9623795,0.0000115961,0.006872543,0.01634442,0.00031753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.506516,0.005707462,0.3796001,0.005804439,0.001429028,0.008550789,0.001528294,0.0002839116,0.09057996],"genre_scores_gemma":[0.9870183,0.0001365387,0.01074197,0.0007158447,0.0002073099,0.0001331461,0.0001035409,0.00002146926,0.0009219215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4805022,"threshold_uncertainty_score":0.9998276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092658413728236,"score_gpt":0.3195459867853632,"score_spread":0.2102801454125395,"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."}}