{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003453876,0.00007644491,0.00009877545,0.0001333591,0.0006780662,0.00004998728,0.0002067866,0.00005685261,0.0003077214],"category_scores_gemma":[0.00008720526,0.00006123741,0.00001392943,0.0003818304,0.0006612118,0.0003548984,0.00002976232,0.0001523867,0.0001592999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002018149,"about_ca_system_score_gemma":0.00004696563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001806558,"about_ca_topic_score_gemma":0.001732239,"domain_scores_codex":[0.9988682,0.00005094791,0.00009196324,0.0003005551,0.000225683,0.000462666],"domain_scores_gemma":[0.9996254,0.00004710239,0.00003298411,0.000117788,0.00002391719,0.0001528527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001812751,0.000003394257,0.9963373,0.000007756011,0.000001371713,0.00003945986,0.0006520959,0.00001476089,0.00001981542,0.00001194986,6.046527e-7,0.002893354],"study_design_scores_gemma":[0.0001720189,0.00005508059,0.9942428,0.000006932842,0.00000279667,0.0002490535,0.00008075491,0.004886245,0.00004899885,0.0001370139,0.00003955134,0.00007878218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970692,0.0004414569,0.0000341953,0.0004344033,0.0001410971,0.0001051616,0.000004035527,0.00002595274,0.001744484],"genre_scores_gemma":[0.9995155,0.00009400285,0.0001534111,0.00005430785,0.00008268073,0.00000145706,0.00000438876,0.000001021579,0.0000931895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004871485,"threshold_uncertainty_score":0.5215206,"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."}}