{"id":"W2018567030","doi":"10.1002/env.912","title":"A spatio‐temporal model for Antarctic sea ice formation","year":2008,"lang":"en","type":"article","venue":"Environmetrics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; University of Waterloo; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre for Interdisciplinary Research in Music Media and Technology; McGill University","keywords":"Sea ice; Sea ice concentration; Climatology; Drift ice; Variation (astronomy); Arctic ice pack; Antarctic sea ice; Series (stratigraphy); Sea ice thickness; Environmental science; Cryosphere; Oceanography; Geology; Atmospheric sciences; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001973724,0.0001267607,0.0001367188,0.0001488026,0.0003514984,0.00001625643,0.0001504322,0.00007593501,0.0002490445],"category_scores_gemma":[0.000111228,0.000115362,0.00007695485,0.0003036912,0.00009167598,0.0004392377,0.00001102451,0.0001161323,0.0001792389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001799291,"about_ca_system_score_gemma":0.00003870599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003256255,"about_ca_topic_score_gemma":0.0001872602,"domain_scores_codex":[0.9990128,0.00002097754,0.0002143219,0.0001920328,0.0002685999,0.0002912225],"domain_scores_gemma":[0.9994115,0.0001976451,0.00009870253,0.0001652978,0.00001733236,0.000109532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006639479,0.00004274272,0.8743612,0.0000442446,0.00001336432,0.000009943903,0.0009079472,0.1033273,0.000002412296,0.00007648689,0.001459135,0.01968889],"study_design_scores_gemma":[0.0002761299,0.00007834458,0.1183199,0.000002732797,0.00001662667,0.00004051971,0.00006694029,0.876115,0.000009811762,0.0005852661,0.004336092,0.0001526754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5759777,0.00009428425,0.4221359,0.0001860205,0.0001301968,0.0002418773,0.0001702418,0.00003818451,0.00102563],"genre_scores_gemma":[0.9649022,0.0002991281,0.03284143,0.0003869997,0.000086122,0.00000262476,0.0007019602,0.000006237598,0.0007733076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7727877,"threshold_uncertainty_score":0.4704326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689970499011934,"score_gpt":0.201443168878891,"score_spread":0.1745434638887717,"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."}}