{"id":"W2810535960","doi":"10.5194/tc-12-3949-2018","title":"Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST","year":2018,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador; Government of Canada","keywords":"Freeboard; Sea ice; Sea ice thickness; Sea ice concentration; Radiometer; Geology; Keel; Environmental science; Climatology; Sea surface temperature; Remote sensing; Arctic ice pack; Atmospheric sciences; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003240658,0.0007113039,0.0005629854,0.00036039,0.0003325425,0.0006038783,0.0005773514,0.0005569177,0.0009281443],"category_scores_gemma":[0.0007533007,0.0004510431,0.0006845294,0.0003089625,0.0002336595,0.0004660842,0.0002760926,0.0005372183,0.0003427253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009967795,"about_ca_system_score_gemma":0.001173999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0516468,"about_ca_topic_score_gemma":0.02875516,"domain_scores_codex":[0.9999189,0.00001718205,0.000005440138,0.00002509406,0.00001734807,0.00001593563],"domain_scores_gemma":[0.9997546,0.00006381157,0.00002880685,0.0000289279,0.0001021074,0.00002161696],"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":[0.00004599168,0.00002307591,0.006549129,0.00001652637,0.00003730378,0.00003244364,0.00001149235,0.9882556,0.001913239,0.0001345372,0.0002014492,0.002779206],"study_design_scores_gemma":[0.00001840831,0.00001382764,0.003375649,0.000003181482,0.000008092549,0.000004354485,0.000004954487,0.9956349,0.0007198257,0.0000593605,0.0001515812,0.00000591145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637184,0.0001497095,0.0304892,0.00007121392,0.00003145078,0.00005900009,0.001964089,0.000619377,0.00289755],"genre_scores_gemma":[0.9907018,0.00005672142,0.006496443,0.00001559655,0.000006127105,0.00005400367,0.001779519,0.00005137761,0.0008384314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0516468,"threshold_uncertainty_score":0.1026924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085378914014047,"score_gpt":0.2046370144223425,"score_spread":0.1937832252822021,"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."}}