{"id":"W2407292516","doi":"10.1175/jcli-d-15-0515.1","title":"Dynamic Preconditioning of the Minimum September Sea-Ice Extent","year":2016,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Hindcast; Sea ice; Arctic ice pack; Climatology; Drift ice; Arctic sea ice decline; Geology; Anomaly (physics); Antarctic sea ice; Sea ice concentration; Sea ice thickness; Arctic; Oceanography; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000386181,0.00007008209,0.0001495686,0.00003621403,0.00009386735,0.00001298222,0.0001993539,0.00003273387,0.001681639],"category_scores_gemma":[0.00005107018,0.00003207555,0.0001336006,0.00006860171,0.00009156734,0.0002357615,0.00001452808,0.00009933922,0.00005395234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007950948,"about_ca_system_score_gemma":0.00005330196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001283276,"about_ca_topic_score_gemma":0.00008530851,"domain_scores_codex":[0.9990979,0.00005887568,0.0003621653,0.00006335924,0.0002424632,0.0001751914],"domain_scores_gemma":[0.9990612,0.0002127906,0.0004777572,0.0001059739,0.00008228721,0.00006001242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001010332,0.00003062323,0.9588954,0.00005543147,0.0000690466,0.00001240208,0.0002543821,0.001169722,0.0004528803,0.00006844987,0.0004755573,0.03841506],"study_design_scores_gemma":[0.0004373669,0.0001291687,0.9928402,0.0002927555,0.00005496626,0.0002426038,0.0002550251,0.002859523,0.00009752693,0.001228724,0.001479862,0.00008231043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911691,0.00007512887,0.0004089346,0.0008221132,0.0005867287,0.00004250527,0.00006774077,0.00000340519,0.006824374],"genre_scores_gemma":[0.998413,0.0003151473,0.0006803627,0.000121259,0.00005176185,7.142993e-8,0.000001849743,0.000002566955,0.0004139392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03833275,"threshold_uncertainty_score":0.999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007500660862264286,"score_gpt":0.2232391348127401,"score_spread":0.2157384739504758,"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."}}