{"id":"W3091046943","doi":"10.5194/egusphere-egu2020-909","title":"A new free drift sea ice velocity dataset for improved representations of ice drift trajectories","year":2020,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sea ice; Drift ice; Buoy; Arctic ice pack; Geology; Sea ice thickness; Climatology; Sea ice concentration; Arctic; Forcing (mathematics); Environmental science; Meteorology; Oceanography; Geography","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":[0.0006868257,0.001436349,0.0007958656,0.00219586,0.0004968532,0.0009985788,0.001764508,0.001275799,0.006451268],"category_scores_gemma":[0.002232027,0.0003705028,0.001226527,0.002069529,0.0002459044,0.001361676,0.001274936,0.001519209,0.008056758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005351015,"about_ca_system_score_gemma":0.001515151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02660395,"about_ca_topic_score_gemma":0.05565741,"domain_scores_codex":[0.9994791,0.00004240334,0.0000737781,0.0001741844,0.0001462223,0.00008437809],"domain_scores_gemma":[0.9992163,0.00007491995,0.00008350531,0.0002152278,0.000342311,0.0000676795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004590331,0.0005561369,0.0592062,0.001099134,0.000504244,0.0004248212,0.0002256231,0.0395839,0.00978354,0.003222427,0.7788141,0.1061209],"study_design_scores_gemma":[0.0004990925,0.000146993,0.1197821,0.0004075992,0.0001512444,0.0002824775,0.0002875597,0.1613927,0.009079092,0.004484591,0.7032164,0.0002701767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01686934,0.0003585363,0.01210798,0.0002494239,0.0004365661,0.0001247564,0.9613153,0.005584274,0.002953939],"genre_scores_gemma":[0.01658809,0.00009136138,0.01582632,0.0000721143,0.00006204772,0.0001637377,0.965941,0.0002852601,0.000970109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02660395,"threshold_uncertainty_score":0.05289823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213613138238424,"score_gpt":0.2470653239788151,"score_spread":0.2257040101549727,"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."}}