{"id":"W4213069010","doi":"10.5194/tc-16-533-2022","title":"A new state-dependent parameterization for the free drift of sea ice","year":2022,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Buoy; Sea ice; Wind speed; Geology; Drift ice; Forcing (mathematics); Climatology; Sea ice concentration; Environmental science; Sea ice thickness; Geodesy; Meteorology; Atmospheric sciences; Arctic ice pack; Oceanography; Physics","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":[0.0008343581,0.0007473218,0.0005290146,0.0006297517,0.000330997,0.001283315,0.001481153,0.0007747015,0.002743995],"category_scores_gemma":[0.001794541,0.0005425967,0.001258363,0.0006223515,0.0005209951,0.001835526,0.0007023464,0.001217786,0.0007747426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009415025,"about_ca_system_score_gemma":0.001387621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008796,"about_ca_topic_score_gemma":0.01576799,"domain_scores_codex":[0.9997415,0.00005153889,0.00002180821,0.00009904365,0.00005265966,0.00003346262],"domain_scores_gemma":[0.9995133,0.0001778429,0.00007938881,0.00007916291,0.0001285745,0.0000217528],"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":[0.00001689539,0.00002700586,0.003600039,0.00002006819,0.00006952484,0.00002167273,0.0000216775,0.98431,0.001406415,0.003638895,0.0009751683,0.005892551],"study_design_scores_gemma":[0.000006327581,0.000005677982,0.0009299164,0.000004708968,0.000009387981,0.000009137081,0.000004247955,0.9963028,0.0002312059,0.001257058,0.001228197,0.0000111521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1635531,0.0004899059,0.8215093,0.0005594424,0.0002932114,0.0001168531,0.004451444,0.001068134,0.007958563],"genre_scores_gemma":[0.9141532,0.0003067502,0.07140169,0.0002286075,0.0001108247,0.0003507249,0.005429733,0.000490495,0.007527945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02008796,"threshold_uncertainty_score":0.03994209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009807238443840169,"score_gpt":0.199841709187299,"score_spread":0.1900344707434588,"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."}}