{"id":"W4379793519","doi":"10.1029/2022pa004542","title":"Global and Zonal‐Mean Hydrological Response to Early Eocene Warmth","year":2023,"lang":"en","type":"article","venue":"Paleoceanography and Paleoclimatology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum; Brandon University; University of Alberta","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Australian Research Council; Sight Research UK; Royal Society; University of Alberta; National Center for Atmospheric Research; National Science Foundation","keywords":"Climatology; Subtropics; Precipitation; Water cycle; Environmental science; Latitude; Climate model; Subtropical ridge; Zonal and meridional; Atmospheric sciences; Paleoclimatology; Convergence zone; Proxy (statistics); Tropics; Climate change; Geology; Geography; Meteorology; Ecology; Oceanography; Mathematics","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":[0.0004223736,0.0003074293,0.0002426512,0.0003905359,0.0002485593,0.0005863869,0.0003067837,0.0004703888,0.002140642],"category_scores_gemma":[0.001066135,0.0001700051,0.0004832941,0.0005120585,0.0001967022,0.0004394213,0.0004211397,0.0004491587,0.0001918856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008198297,"about_ca_system_score_gemma":0.0004249243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03447658,"about_ca_topic_score_gemma":0.03005901,"domain_scores_codex":[0.9999135,0.00001924906,0.00000575805,0.000027003,0.0000125688,0.00002208861],"domain_scores_gemma":[0.9997711,0.00005062313,0.00003838137,0.00003141868,0.00006121778,0.00004727062],"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":[0.000402414,0.0001830026,0.7565782,0.00007342314,0.0005517274,0.0001842196,0.0002328616,0.2149339,0.01104197,0.001418147,0.003611286,0.01078881],"study_design_scores_gemma":[0.00008374345,0.00006511717,0.8536357,0.00001679293,0.00007436422,0.00003871813,0.0001854966,0.1418892,0.001804729,0.0005531619,0.001624553,0.00002834732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970946,0.00004227391,0.0001660771,0.0001764363,0.00001060672,0.000002756915,0.001695731,0.0000486449,0.0007629675],"genre_scores_gemma":[0.9984096,0.00003732128,0.00008416957,0.00002607404,0.000005233626,0.000005257603,0.001264681,0.000009511053,0.0001581672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03447658,"threshold_uncertainty_score":0.06855178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762117702490337,"score_gpt":0.2537584104845675,"score_spread":0.2361372334596642,"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."}}