{"id":"W2594609124","doi":"10.5194/gmd-10-1009-2017","title":"Comparing sea ice, hydrography and circulation between NEMO3.6 LIM3 and LIM2","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; European Organization for the Exploitation of Meteorological Satellites; Academy of Finland","keywords":"Sea ice; Climatology; Arctic ice pack; Arctic sea ice decline; Arctic; Lead (geology); Sea ice thickness; Geology; Hydrography; Oceanography; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001583567,0.001140236,0.000819782,0.0005121256,0.0003945122,0.0008398076,0.002192419,0.001014555,0.002448461],"category_scores_gemma":[0.001769165,0.0004497107,0.001512171,0.0007036669,0.0004691055,0.0008649519,0.000860468,0.0008671928,0.0006974313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062317,"about_ca_system_score_gemma":0.0009305497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02536079,"about_ca_topic_score_gemma":0.02245243,"domain_scores_codex":[0.9996723,0.00008791486,0.00002707167,0.00008151946,0.00005619762,0.00007496772],"domain_scores_gemma":[0.9990999,0.0002472607,0.00008285829,0.0001873307,0.0001828221,0.0001998295],"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":[0.003058719,0.001108636,0.09216355,0.0006608544,0.001253359,0.000709339,0.0002759834,0.8600402,0.01319785,0.001919661,0.01178628,0.0138255],"study_design_scores_gemma":[0.001687778,0.000517641,0.0635362,0.00006322037,0.0002669456,0.0001591616,0.0001878168,0.917428,0.00765576,0.0007108081,0.007647933,0.0001387648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733889,0.0001272389,0.002392183,0.000292029,0.0001249105,0.00007596282,0.01513408,0.001394344,0.007070453],"genre_scores_gemma":[0.9650517,0.00008193582,0.006470547,0.0002323982,0.00005266952,0.0001557086,0.02624866,0.0005925947,0.001113776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02536079,"threshold_uncertainty_score":0.05042636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780332769177906,"score_gpt":0.2236632501525062,"score_spread":0.1858599224607272,"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."}}