{"id":"W2041969761","doi":"10.1016/j.ocemod.2010.02.002","title":"On the formulation of sea-ice models. Part 2: Lessons from multi-year adjoint sea-ice export sensitivities through the Canadian Arctic Archipelago","year":2010,"lang":"en","type":"article","venue":"Ocean Modelling","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sea ice; Archipelago; Climatology; Arctic; Geology; Environmental science; Meteorology; Oceanography; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00212589,0.0007311128,0.0005305035,0.000336637,0.0007019533,0.002210417,0.001772645,0.001513361,0.00173531],"category_scores_gemma":[0.005439698,0.0005625509,0.0004524745,0.0005974493,0.001205895,0.002152842,0.0008991761,0.002058242,0.0001748482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004223289,"about_ca_system_score_gemma":0.0048712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5150226,"about_ca_topic_score_gemma":0.4933253,"domain_scores_codex":[0.9997377,0.0001208366,0.0000138755,0.00003731398,0.00005707626,0.0000332821],"domain_scores_gemma":[0.9990463,0.000450979,0.00008189958,0.00008852518,0.0002839822,0.00004836686],"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":[0.00002183876,0.0000259096,0.001477343,0.00004290249,0.00002225845,0.00005608244,0.0001199816,0.9060158,0.0007289196,0.07674493,0.002404596,0.01233951],"study_design_scores_gemma":[0.00001757936,0.000009771518,0.001804275,0.00003631321,0.00001647674,0.00001441619,0.00008818109,0.9237477,0.0004223193,0.06919464,0.00461968,0.00002877399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3428473,0.00883365,0.5490034,0.02733259,0.001017571,0.0001179299,0.002714598,0.000670622,0.0674624],"genre_scores_gemma":[0.9506217,0.001915296,0.04090793,0.0006297403,0.0002178881,0.00003339832,0.0004359526,0.0002280083,0.005010104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4849774,"threshold_uncertainty_score":0.9756671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04733481893177893,"score_gpt":0.2259558680214143,"score_spread":0.1786210490896354,"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."}}