{"id":"W4280552536","doi":"10.1038/s43247-022-00443-4","title":"The redistribution of anthropogenic excess heat is a key driver of warming in the North Atlantic","year":2022,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; University of Exeter; UK Research and Innovation","keywords":"Ocean heat content; Effects of global warming on oceans; Thermohaline circulation; Environmental science; Oceanography; Global warming; Climatology; North Atlantic Deep Water; Latitude; Climate change; Hydrography; Sea surface temperature; Sink (geography); Geology; Geography","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":[0.0001406111,0.0001034231,0.0001139453,0.0002144833,0.0001976958,0.0004423306,0.0001573938,0.0001708435,0.001624518],"category_scores_gemma":[0.0003326506,0.00009186651,0.0002248958,0.0002813428,0.000257735,0.0003087122,0.0003457712,0.0002242371,0.0001346421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515997,"about_ca_system_score_gemma":0.0004895441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06283721,"about_ca_topic_score_gemma":0.06700458,"domain_scores_codex":[0.9999601,0.000005152782,0.000002615792,0.000015491,0.00000686599,0.000009702685],"domain_scores_gemma":[0.9999051,0.00001181719,0.00003313125,0.00001273694,0.00002253792,0.00001462907],"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":[0.0001005075,0.00002223837,0.9353101,0.00005522967,0.000120615,0.0001477772,0.0002387264,0.01674385,0.02851817,0.0009700715,0.001271098,0.01650171],"study_design_scores_gemma":[0.000005645421,0.00001058545,0.9787033,0.00001138645,0.00002766705,0.00002858071,0.0001990459,0.0183459,0.0006869399,0.0004413816,0.001529165,0.00001043609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968824,0.000124357,0.0005992707,0.0002682286,0.00001074747,0.000002036219,0.0005473187,0.00003361503,0.001532026],"genre_scores_gemma":[0.9995663,0.00005414924,0.00009360977,0.00001820216,0.000005455247,0.000001075271,0.000126975,0.000004699735,0.0001295764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06283721,"threshold_uncertainty_score":0.1249429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814324777003549,"score_gpt":0.2508721508595483,"score_spread":0.2227289030895128,"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."}}