{"id":"W2164692705","doi":"10.5194/npg-19-81-2012","title":"Albedo parametrization and reversibility of sea ice decay","year":2012,"lang":"en","type":"article","venue":"Nonlinear processes in geophysics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; U.S. Department of Energy","keywords":"Ice-albedo feedback; Sea ice; Cryosphere; Atmospheric sciences; Arctic ice pack; Environmental science; Climatology; Antarctic sea ice; Sea ice concentration; Climate model; Radiative forcing; Sea ice thickness; Geology; Climate change; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002775116,0.0003213648,0.0002113374,0.0003012005,0.0001878723,0.000636597,0.0004117519,0.0003053498,0.0008524139],"category_scores_gemma":[0.001269306,0.0001469335,0.0004350877,0.0002263405,0.0005957261,0.0006759015,0.0003838531,0.000408823,0.00008245359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000583591,"about_ca_system_score_gemma":0.0002320558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007139641,"about_ca_topic_score_gemma":0.004581197,"domain_scores_codex":[0.9999334,0.00002449789,0.000003025318,0.00001876076,0.000006966608,0.00001353135],"domain_scores_gemma":[0.9997429,0.00009298547,0.00005449022,0.00005789898,0.00002486407,0.00002675301],"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":[0.00008438639,0.00002415906,0.008850397,0.00001311241,0.00002071983,0.00004948846,0.00002545284,0.9764556,0.002812357,0.009303072,0.0001690925,0.002192094],"study_design_scores_gemma":[0.000005304543,0.000008592364,0.001020025,0.000001989147,0.000003677196,0.000008244217,0.000007676749,0.9968075,0.0003132729,0.00171888,0.000100857,0.000004066125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695117,0.0001226212,0.02546112,0.0001619395,0.0000189182,0.000007953918,0.0002483747,0.0001018556,0.004365453],"genre_scores_gemma":[0.9988961,0.0000256223,0.0006857112,0.000004992841,0.000002534915,0.00000330024,0.00006158787,0.00001228529,0.0003078328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007139641,"threshold_uncertainty_score":0.01419622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120160969698921,"score_gpt":0.2292804608802264,"score_spread":0.2180788511832371,"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."}}