{"id":"W2557753461","doi":"10.4043/27448-ms","title":"Model Based Estimation of Sea Ice Parameters","year":2016,"lang":"en","type":"article","venue":"Arctic Technology Conference","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador","keywords":"Sea ice; Data assimilation; Environmental science; Remote sensing; Sea ice concentration; Satellite; Radiometer; Sea ice thickness; Synthetic aperture radar; Meteorology; Microwave radiometer; Climatology; Arctic ice pack; Geology; Geography","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":[0.0002973489,0.0004144129,0.0004686713,0.0003831239,0.0001782468,0.0006340257,0.0004594944,0.0003842683,0.001385171],"category_scores_gemma":[0.0008800044,0.0002584895,0.0003574421,0.0002822218,0.0001311009,0.0004951172,0.000360705,0.0003513324,0.000509629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004821525,"about_ca_system_score_gemma":0.0007243148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008270201,"about_ca_topic_score_gemma":0.005132411,"domain_scores_codex":[0.9998766,0.00004047432,0.000007400843,0.00003176224,0.0000309295,0.00001282995],"domain_scores_gemma":[0.9998149,0.00006745062,0.00002652736,0.0000198794,0.00006507376,0.000006150355],"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":[0.00001945723,0.00001393942,0.001846846,0.00002388793,0.00002584527,0.000009931587,0.000005058173,0.9851487,0.001613778,0.0005221265,0.0002333106,0.01053711],"study_design_scores_gemma":[0.000006032054,0.000008442197,0.0008887419,0.00000496382,0.000005773859,0.000005916185,0.000001913493,0.9977008,0.000812504,0.000293732,0.0002674649,0.000003858185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3434445,0.0006483232,0.6369027,0.0001767171,0.00008812126,0.0001027237,0.001952035,0.002246374,0.01443852],"genre_scores_gemma":[0.9603366,0.0001550757,0.03669076,0.00002814493,0.00001894992,0.00008766439,0.0009958686,0.0000613209,0.001625682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008270201,"threshold_uncertainty_score":0.01644415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811289549577109,"score_gpt":0.2154687106433599,"score_spread":0.1973558151475888,"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."}}