{"id":"W4392230635","doi":"10.22541/essoar.170914535.56554923/v1","title":"Sensitivity of short-range forecasts to sea ice thickness data assimilation parameters in a coupled ice-ocean syste","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Environment Research Council; Norges Forskningsråd; Met Office","keywords":"Freeboard; Snowpack; Snow; Sea ice; Environmental science; Radar; Climatology; Meteorology; Data assimilation; Icing; Geology; Geography; Computer science; Engineering","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":[0.001961878,0.0006739917,0.0004366396,0.0002819177,0.0003413564,0.001197347,0.0004699619,0.001049932,0.0006136455],"category_scores_gemma":[0.005770135,0.0004831248,0.0008794834,0.0002938574,0.0004773999,0.001045165,0.0006265649,0.0008558779,0.0001389404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894256,"about_ca_system_score_gemma":0.000700007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05373365,"about_ca_topic_score_gemma":0.02351807,"domain_scores_codex":[0.9994646,0.0001491654,0.000058533,0.0001700058,0.00007612702,0.00008160098],"domain_scores_gemma":[0.9980123,0.001211106,0.0001744995,0.0002193146,0.0002876094,0.00009520446],"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":[0.000532745,0.0001145102,0.05091912,0.0000521854,0.0003009352,0.00008713942,0.00008235661,0.9323323,0.008986165,0.000256627,0.000331963,0.006003997],"study_design_scores_gemma":[0.00006137021,0.0001633285,0.04555397,0.00002414109,0.00008047614,0.00002490539,0.00007066371,0.9457031,0.007703928,0.000266694,0.0002999199,0.00004754576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961463,0.00009872278,0.002380918,0.0001119867,0.00004014865,0.0000134828,0.0003701423,0.0001092543,0.0007289862],"genre_scores_gemma":[0.9984775,0.00002994955,0.0008328282,0.00002633585,0.000005633206,0.000006705854,0.0004983185,0.00001282591,0.0001100056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05373365,"threshold_uncertainty_score":0.1068417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017438112991779,"score_gpt":0.2700605205774516,"score_spread":0.2198861394475338,"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."}}