{"id":"W2004791083","doi":"10.1016/j.crte.2008.01.001","title":"Interactions between vegetation and climate variability: what are the lessons of models and paleovegetation data","year":2008,"lang":"en","type":"article","venue":"Comptes Rendus Géoscience","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"European Science Foundation","keywords":"Vegetation (pathology); Geography; Climate change; Physical geography; Climatology; Forestry; Ecology; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006502885,0.0001012367,0.0001571887,0.00007590515,0.0004549865,0.000128055,0.0003670797,0.00003075978,0.00002480129],"category_scores_gemma":[0.0002124109,0.0000721804,0.0000147034,0.0002599554,0.0006412878,0.001748556,0.0001033965,0.0001192884,0.000009668363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003334266,"about_ca_system_score_gemma":0.00003371075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704337,"about_ca_topic_score_gemma":0.0006990135,"domain_scores_codex":[0.9988152,0.0001693123,0.000220881,0.0003630842,0.0002350706,0.000196499],"domain_scores_gemma":[0.9979129,0.001365695,0.0001679553,0.0004302809,0.00004847978,0.00007469915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001089371,0.00001104185,0.941876,0.00004041511,0.000005972548,0.00000202365,0.0005825167,0.002150944,0.0001805397,0.00009530319,0.00001705545,0.05502727],"study_design_scores_gemma":[0.00007309623,0.00002508146,0.844838,0.00007393078,0.0000162944,0.00003059907,0.0003675545,0.1536997,0.00003778855,0.0006574142,0.0001074106,0.00007309269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949734,0.002339054,0.001102452,0.0007144981,0.0001649771,0.0001321291,0.0002874659,0.00002711116,0.0002588896],"genre_scores_gemma":[0.9956412,0.00322161,0.0009934838,0.00003605964,0.00002394603,6.415399e-7,0.0000735857,0.000002183203,0.000007321107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1515488,"threshold_uncertainty_score":0.3499434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296561166960686,"score_gpt":0.3057705025336381,"score_spread":0.1761143858375695,"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."}}