{"id":"W2000882936","doi":"10.1126/science.1057131","title":"Synchronous Tropical South China Sea SST Change and Greenland Warming During Deglaciation","year":2001,"lang":"en","type":"article","venue":"Science","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deglaciation; Climatology; Sea surface temperature; Alkenone; Global warming; Abrupt climate change; Last Glacial Maximum; Climate change; Oceanography; Tropics; Ice core; Glacial period; Environmental science; Sea ice; Geology; Effects of global warming; Holocene; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644761,0.0001401042,0.0001213564,0.0004938182,0.0002698116,0.0002933348,0.00009183279,0.0001321565,0.0009457191],"category_scores_gemma":[0.0003405301,0.0000724809,0.0001099336,0.0005203208,0.0002720519,0.0001992863,0.000302734,0.0001116461,0.00008731729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005662031,"about_ca_system_score_gemma":0.0004257977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775501,"about_ca_topic_score_gemma":0.04826756,"domain_scores_codex":[0.9999533,0.000004035744,0.000004019447,0.00001334685,0.000009850489,0.00001537612],"domain_scores_gemma":[0.9997975,0.00001555813,0.0001033079,0.000017979,0.00003592579,0.00002980888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000180612,0.00001288835,0.9684123,0.00003623975,0.00005299218,0.0002768327,0.0005501137,0.0006210508,0.01852733,0.0002697797,0.0006589851,0.01040105],"study_design_scores_gemma":[0.000002189359,0.000007614391,0.999055,0.000001533176,0.000005259096,0.00002088919,0.00006538229,0.0001079433,0.0003579773,0.00003321797,0.0003415731,0.000001510542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998963,0.00005858447,0.00004862139,0.00004319497,0.000005137816,0.000001388568,0.0002280274,0.000005668535,0.0006464025],"genre_scores_gemma":[0.9992406,0.00007272791,0.00004097817,0.00002706607,0.000007269591,0.000002277843,0.0003433795,0.000001831356,0.0002638134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01775501,"threshold_uncertainty_score":0.03530329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579461140364874,"score_gpt":0.241875299749396,"score_spread":0.2160806883457473,"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."}}