{"id":"W4312782993","doi":"10.2139/ssrn.4243913","title":"Rapid Vegetation Evolution and Climate Change During 9.2–8.0 Cal Kyr BP in Eastern China: High-Resolution Pollen Evidence from the Yangtze Delta Plain Area","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pollen; Climate change; China; Vegetation (pathology); Delta; Physical geography; Yangtze river; Geology; Palynology; Geography; Climatology; Ecology; Archaeology; Oceanography; Biology","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":[0.0004148936,0.0002212866,0.0001957092,0.001026476,0.0004923546,0.0005266648,0.0003010236,0.0003580809,0.001043585],"category_scores_gemma":[0.0004799583,0.0002104436,0.0002081804,0.00102275,0.0005932862,0.0004374874,0.0006404903,0.0002796252,0.0001326333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144925,"about_ca_system_score_gemma":0.0004578376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03398291,"about_ca_topic_score_gemma":0.0537343,"domain_scores_codex":[0.9998991,0.00001401695,0.000009258632,0.0000381053,0.0000158711,0.00002356998],"domain_scores_gemma":[0.9997159,0.00004271482,0.0000900993,0.00002025641,0.00006188048,0.00006913728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001412813,0.0000330322,0.9758637,0.00006331404,0.0001659213,0.0004162535,0.001537672,0.0004912151,0.01296949,0.0002454498,0.0002586445,0.007814073],"study_design_scores_gemma":[0.000002210865,0.000004184141,0.9996172,0.000002161847,0.000005893201,0.00001906291,0.00009276369,0.00008130627,0.00003794969,0.00001183149,0.0001237947,0.000001634683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999402,0.000102918,0.0000229326,0.00004329323,0.00000313865,0.000001454994,0.0001346965,0.000002690896,0.0002868944],"genre_scores_gemma":[0.9995504,0.00007035223,0.00003269592,0.00002127258,0.000007165929,0.000002591926,0.0002025712,0.000002075244,0.0001109108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03398291,"threshold_uncertainty_score":0.06757021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182047457881998,"score_gpt":0.2317353373332763,"score_spread":0.2099148627544563,"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."}}