{"id":"W1910062242","doi":"10.1002/2014gl062107","title":"Trend and interannual variability in southeast Greenland Sea Ice: Impacts on coastal Greenland climate variability","year":2014,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; European Centre for Medium-Range Weather Forecasts; Universität Hamburg; Strong; National Aeronautics and Space Administration; National Science Foundation","keywords":"Geology; Oceanography; Fjord; Climatology; Future sea level; Sea ice; Arctic ice pack; Antarctic sea ice; Cryosphere; Glacier; Iceberg; North Atlantic oscillation; Greenland ice sheet; Ice sheet; Geomorphology","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":[0.0002383192,0.00009936209,0.00009449433,0.0005642884,0.0002074113,0.0005329814,0.0001512048,0.0001615457,0.0007980806],"category_scores_gemma":[0.0004437858,0.00003922181,0.0001243666,0.0007482914,0.0002478971,0.0002640946,0.0003202397,0.0001165038,0.00008816602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202533,"about_ca_system_score_gemma":0.0005434357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1185095,"about_ca_topic_score_gemma":0.2426926,"domain_scores_codex":[0.9999464,0.00000634105,0.000004036337,0.000011296,0.00001035886,0.00002154686],"domain_scores_gemma":[0.9997329,0.00003068516,0.0001062526,0.000020349,0.00006496048,0.0000448248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003821524,0.00001357273,0.9919629,0.000008197768,0.00003332503,0.0001116303,0.0002211276,0.0006448093,0.001596491,0.0001340589,0.0003218174,0.004913855],"study_design_scores_gemma":[5.399036e-7,0.000004084419,0.9991936,0.000002317158,0.000002634219,0.00001100335,0.000150386,0.0002805291,0.00005331293,0.00001934883,0.0002813584,8.810176e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990008,0.00004770256,0.00002341313,0.0001009848,0.000002570612,7.525837e-7,0.0003035077,0.000004327274,0.000515871],"genre_scores_gemma":[0.9995224,0.00003290766,0.00002473831,0.00002485859,0.000002207163,8.58449e-7,0.0002303443,0.000001505984,0.0001599699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1185095,"threshold_uncertainty_score":0.2356393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577034772153534,"score_gpt":0.2693455641127898,"score_spread":0.2535752163912545,"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."}}