{"id":"W3024754804","doi":"10.5194/tc-2020-134","title":"Toward a method for downscaling sea ice pressure","year":2020,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; GDG Environnement","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lead (geology); Downscaling; Sea ice; Scale (ratio); Climatology; Environmental science; Geology; Meteorology; Spatial distribution; Oceanography; Climate change; Geography; Remote sensing; Geomorphology; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00118787,0.0009227796,0.0009059246,0.001256256,0.0004585495,0.001194279,0.001292409,0.0009786936,0.003050471],"category_scores_gemma":[0.004428054,0.0006667077,0.0007572897,0.001241171,0.0005541526,0.000928553,0.001378689,0.001959282,0.001180338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015075,"about_ca_system_score_gemma":0.001269366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009349444,"about_ca_topic_score_gemma":0.007611896,"domain_scores_codex":[0.9995043,0.000101108,0.00004791129,0.0001412755,0.0001599666,0.00004542162],"domain_scores_gemma":[0.9987628,0.0003910653,0.0001322685,0.0001612377,0.0004939325,0.00005857642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002090042,0.0001966995,0.00538579,0.0002277197,0.000190745,0.0001598205,0.0003200485,0.368828,0.02894202,0.0128487,0.007804133,0.5748873],"study_design_scores_gemma":[0.0000162849,0.00002124442,0.0003242019,0.00001125458,0.000006815557,0.00001553782,0.00002816762,0.9929161,0.002079293,0.002803721,0.001768972,0.000008341864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005075448,0.00006291979,0.9933494,0.00005805859,0.00005341782,0.0000410663,0.00005968003,0.0009392055,0.0003608401],"genre_scores_gemma":[0.08295922,0.0001123634,0.9148694,0.00009094013,0.00007769446,0.0001301686,0.0003554663,0.0003770902,0.001027713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009349444,"threshold_uncertainty_score":0.01859003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342370937379374,"score_gpt":0.2559423756186086,"score_spread":0.2217052818806712,"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."}}