{"id":"W2559561788","doi":"10.4043/27445-ms","title":"Operational Ocean Ice Prediction System Validation for the Canadian Arctic and Northwest Atlantic","year":2016,"lang":"en","type":"article","venue":"Arctic Technology Conference","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Japan Aerospace Exploration Agency; U.S. Navy; National Oceanic and Atmospheric Administration","keywords":"Sea ice; Environmental science; Arctic; Ocean observations; Climatology; Meteorology; Search and rescue; Oceanography; Computer science; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003809377,0.0008099245,0.000293098,0.001089672,0.001197588,0.0009836156,0.001212283,0.0002591061,0.0006792736],"category_scores_gemma":[0.007305264,0.000197731,0.0004663257,0.001185139,0.0004415235,0.0004947548,0.0007211971,0.0005199946,0.0001863872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00957077,"about_ca_system_score_gemma":0.01584284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9130027,"about_ca_topic_score_gemma":0.8874618,"domain_scores_codex":[0.9986694,0.0001410618,0.00007796685,0.0002420785,0.0007291069,0.000140495],"domain_scores_gemma":[0.9937133,0.0005090475,0.000385476,0.000301827,0.00487105,0.0002192496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001046001,0.0003242527,0.4175769,0.0003027852,0.0004998387,0.0001717848,0.000482539,0.3957681,0.01267128,0.003079908,0.02033389,0.1477427],"study_design_scores_gemma":[0.0001223281,0.0001844253,0.1942879,0.000106322,0.00009766669,0.00003211832,0.0002664851,0.7814224,0.01442436,0.0004587368,0.008524264,0.00007313363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360515,0.0004213692,0.03038228,0.0003658563,0.0001428008,0.0004702855,0.01824145,0.002386374,0.01153816],"genre_scores_gemma":[0.9542282,0.0001289926,0.0230068,0.00007225086,0.000009899636,0.0001057819,0.02126482,0.00008340214,0.001099915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08699727,"threshold_uncertainty_score":0.1750192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087934163402436,"score_gpt":0.1879240023585529,"score_spread":0.1770446607245286,"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."}}