{"id":"W4392197104","doi":"10.5194/essd-16-1063-2024","title":"PalVol v1: a proxy-based semi-stochastic ensemble reconstruction of volcanic stratospheric sulfur injection for the last glacial cycle (140 000–50 BP)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Akademie der Naturwissenschaften; Chinese Academy of Sciences; Deutsches Klimarechenzentrum; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; Past Global Changes","keywords":"Proxy (statistics); Volcano; Glacial period; Climatology; Geology; Sulfur; Environmental science; Atmospheric sciences; Mathematics; Statistics; Geomorphology; Geochemistry; Chemistry","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":[0.0007065015,0.0005189919,0.0003410681,0.0009943922,0.0002392145,0.000707618,0.0007525632,0.00062959,0.002169363],"category_scores_gemma":[0.001510533,0.0004069942,0.0006266222,0.0008085996,0.0002353379,0.0003674333,0.0005740651,0.0004838424,0.0006764322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004813011,"about_ca_system_score_gemma":0.0007953744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613978,"about_ca_topic_score_gemma":0.02132056,"domain_scores_codex":[0.9998637,0.00003000841,0.000007539621,0.00005398712,0.00002913142,0.00001564403],"domain_scores_gemma":[0.9996378,0.00006662795,0.00007109738,0.00008453318,0.00009701819,0.00004286487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002555364,0.0001397102,0.1204365,0.00009405879,0.0006031678,0.0002232545,0.0001058744,0.8299822,0.00834957,0.001240459,0.005900032,0.03266967],"study_design_scores_gemma":[0.00004820215,0.0000466009,0.04498461,0.00001332887,0.00003525358,0.00005287946,0.0000302164,0.9499434,0.001407766,0.0005495645,0.002863453,0.0000248682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379371,0.0002615775,0.03487991,0.0001836353,0.0000635672,0.00003505861,0.02016547,0.003830248,0.002643289],"genre_scores_gemma":[0.9530219,0.0000769566,0.01682117,0.00003247859,0.00003255755,0.00004269108,0.02887829,0.0002787299,0.0008152252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613978,"threshold_uncertainty_score":0.03209168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878641529152346,"score_gpt":0.2653265580863007,"score_spread":0.2365401427947772,"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."}}