{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002735837,0.0001357442,0.0001277128,0.0001376107,0.0007516379,0.00007253748,0.0002468944,0.0001495071,0.0001625812],"category_scores_gemma":[0.0002007364,0.00007980765,0.0000265129,0.0001672261,0.0004025855,0.0002037166,0.00001612175,0.0001329689,0.00004619505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008734217,"about_ca_system_score_gemma":0.0003282811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1676001,"about_ca_topic_score_gemma":0.3630552,"domain_scores_codex":[0.998997,0.00003136684,0.000205072,0.0002948061,0.0001412844,0.0003305255],"domain_scores_gemma":[0.999015,0.0003375033,0.00007721676,0.0002342528,0.0002303571,0.0001056615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001314675,0.000003873467,0.9380304,0.00004095534,0.00003377462,0.000003390225,0.00007283763,0.000029532,0.00001669295,0.04774015,0.00002399011,0.0139913],"study_design_scores_gemma":[0.0007139337,0.000245283,0.9559832,0.000216005,0.0001341223,0.0004034696,0.00140832,0.0297965,0.00004520126,0.0078492,0.002925852,0.00027894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445609,0.00008570054,0.0200921,0.03265328,0.0006423264,0.0008463743,0.0003436176,0.000213824,0.0005618619],"genre_scores_gemma":[0.9987842,0.00007197032,0.000694279,0.0001449331,0.00007122794,0.00001048393,0.0001054568,0.000004764077,0.0001127224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954552,"threshold_uncertainty_score":0.837943,"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."}}