{"id":"W4281643011","doi":"10.5194/tc-16-2103-2022","title":"Estimating a mean transport velocity in the marginal ice zone using ice–ocean prediction systems","year":2022,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; Norges Forskningsråd","keywords":"Environmental science; Sea ice; Lead (geology); Trajectory; Meteorology; Geology; Climatology; Geography","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":[0.0004921734,0.0005772557,0.0003684895,0.000367416,0.0004280138,0.0006247852,0.0003880641,0.0004360118,0.0004423239],"category_scores_gemma":[0.001445008,0.0002898399,0.000340473,0.0004007064,0.0003018999,0.000512252,0.0004002448,0.0005354232,0.00009134658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009110694,"about_ca_system_score_gemma":0.00116667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048161,"about_ca_topic_score_gemma":0.04616449,"domain_scores_codex":[0.9999027,0.00002600047,0.000007051713,0.00003087261,0.00001533643,0.00001794125],"domain_scores_gemma":[0.9994869,0.0002382902,0.00008625691,0.00003278189,0.0001121771,0.00004362863],"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":[0.00007034336,0.00002891815,0.01876324,0.000007625812,0.00002206573,0.00002885212,0.00002093792,0.975131,0.0006673087,0.0001598084,0.0001027248,0.004997157],"study_design_scores_gemma":[0.000002385669,0.000009868757,0.002137796,0.000001131938,0.000002568161,0.00000156519,0.000006778042,0.9975643,0.0001761142,0.00006582896,0.00002934089,0.000002349689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491071,0.00006749819,0.04957101,0.00008295067,0.00002326567,0.00002099484,0.0003417527,0.0001453708,0.0006400094],"genre_scores_gemma":[0.9920844,0.00002431504,0.007370013,0.000005031549,0.000004548562,0.00001011074,0.0002942205,0.000006085279,0.0002014589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048161,"threshold_uncertainty_score":0.2084121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438592721328215,"score_gpt":0.2057134652832471,"score_spread":0.191327538069965,"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."}}