{"id":"W2801024111","doi":"10.1029/2017gb005738","title":"Rapid Changes in Anthropogenic Carbon Storage and Ocean Acidification in the Intermediate Layers of the Eurasian Arctic Ocean: 1996–2015","year":2018,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Svenska Forskningsrådet Formas; Royal Swedish Academy of Sciences","keywords":"Structural basin; Oceanography; Arctic; Ocean acidification; Carbonate; Carbon fibers; Geology; Total inorganic carbon; TRACER; Boundary current; Canada Basin; Environmental science; Ocean current; Carbon dioxide; Climate change; Geomorphology; Ecology; Chemistry","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":[0.00086713,0.0003570447,0.0002109719,0.00054569,0.0001973289,0.0006159481,0.0003150648,0.000242361,0.0005365704],"category_scores_gemma":[0.001015816,0.0002090666,0.0007091244,0.0008198239,0.0002491472,0.0004830753,0.0006199749,0.0002278944,0.0001095926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008225677,"about_ca_system_score_gemma":0.0004849327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05243132,"about_ca_topic_score_gemma":0.05222615,"domain_scores_codex":[0.9998096,0.00002461516,0.0000274686,0.00007907453,0.00002916876,0.00003016482],"domain_scores_gemma":[0.9995937,0.00006191411,0.0001870711,0.00003550753,0.00008111461,0.00004072849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000287831,0.00002581032,0.9769481,0.00005343384,0.0003356122,0.0001287971,0.0001587202,0.01125251,0.003872114,0.0001621615,0.0001616607,0.006613214],"study_design_scores_gemma":[0.000005043699,0.00002085221,0.9920257,0.00001030204,0.00003906885,0.00004359427,0.00009787304,0.006417459,0.0009234894,0.00004269758,0.000366491,0.000007446935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989966,0.00009236624,0.0001753409,0.00001823617,0.000003348627,0.000001277215,0.0004776563,0.00001141228,0.0002239337],"genre_scores_gemma":[0.9985237,0.00006343358,0.0002355212,0.000004379029,0.000002505839,0.000002641965,0.001009131,0.000004134176,0.0001545862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05243132,"threshold_uncertainty_score":0.1042523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059078493721831,"score_gpt":0.2281398325065781,"score_spread":0.2175490475693598,"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."}}