{"id":"W4307196007","doi":"10.5194/egusphere-2022-982","title":"The effects of assimilating a sub-grid scale sea ice thickness distribution in a new Arctic sea ice data assimilation system","year":2022,"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":"","funders":"Natural Environment Research Council","keywords":"Sea ice; Sea ice thickness; Data assimilation; Arctic ice pack; Climatology; Sea ice concentration; Drift ice; Arctic; Geology; Environmental science; Meteorology; Oceanography; Geography","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":[0.001769282,0.0004698905,0.0004691708,0.0002140112,0.0003479341,0.0009492384,0.0003018173,0.0004219384,0.0004439136],"category_scores_gemma":[0.003197548,0.0002679451,0.0006047596,0.0003069086,0.0002605255,0.000914652,0.0006494205,0.0007025292,0.0001764961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005000412,"about_ca_system_score_gemma":0.0007158355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03473072,"about_ca_topic_score_gemma":0.03111344,"domain_scores_codex":[0.9994773,0.0001491673,0.00005034302,0.0001365366,0.0001360808,0.00005053591],"domain_scores_gemma":[0.9983137,0.0005606292,0.0001119932,0.0002792815,0.0006445901,0.000089908],"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":[0.002539387,0.0005353499,0.1434509,0.0001501495,0.0007583546,0.0002743691,0.0002129099,0.6398279,0.05524097,0.0006780584,0.002371565,0.1539601],"study_design_scores_gemma":[0.0001223623,0.000301872,0.06220959,0.00001649523,0.0001073754,0.00003191307,0.00008280565,0.9211038,0.01374099,0.0002282183,0.00202112,0.00003347834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716869,0.0002640981,0.02471897,0.0002889672,0.0002221031,0.00006810308,0.000646483,0.0005044754,0.001599906],"genre_scores_gemma":[0.9750779,0.0001086668,0.0226431,0.0001269819,0.0000267117,0.00003550388,0.001302428,0.00006105885,0.0006175524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03473072,"threshold_uncertainty_score":0.06905717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167506501013421,"score_gpt":0.2352563765954261,"score_spread":0.218505726494084,"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."}}