{"id":"W4416881375","doi":"10.1016/j.quascirev.2025.109727","title":"A comparison of Holocene temperature reconstructions from vegetation proxies and brGDGTs in northern Fennoscandia","year":2025,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SGS (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland; Svenska Forskningsrådet Formas; Skogs- och Jordbrukets Forskningsråd","keywords":"Holocene; Macrofossil; Paleoclimatology; Proxy (statistics); Vegetation (pathology); Climate change; Holocene climatic optimum; Stalagmite","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000763818,0.00009018966,0.0003255868,0.0002457676,0.0001665653,0.00002898392,0.0002509351,0.00006950789,0.00005954683],"category_scores_gemma":[0.000139513,0.00006723838,0.00002595764,0.0007255857,0.0007957731,0.0002498443,0.00001936801,0.0001879089,0.00004637278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002223719,"about_ca_system_score_gemma":0.0001315945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122704,"about_ca_topic_score_gemma":0.03013932,"domain_scores_codex":[0.9988269,0.000190866,0.0003523045,0.0002930989,0.0001207958,0.0002160845],"domain_scores_gemma":[0.9994978,0.0001322549,0.0001058983,0.0001674984,0.00004450794,0.0000520944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001326026,0.00001185314,0.9783376,0.00005604031,0.000002998718,0.000002327183,0.0003272156,0.00003691746,0.0001854444,0.00002525487,0.000006959935,0.02099416],"study_design_scores_gemma":[0.0001306927,0.00004757038,0.9963019,0.000192919,0.000006165798,0.000009668206,0.0001296221,0.001693893,0.0004276397,0.0008618755,0.0001368016,0.00006128108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973824,0.02365232,0.000006383331,0.0002758132,0.0002143753,0.0002701446,0.000005709982,0.000007260439,0.001744005],"genre_scores_gemma":[0.9969252,0.002317884,0.000613991,0.00004107805,0.00000910437,0.000004176808,0.00001651425,6.598148e-7,0.00007139231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02901661,"threshold_uncertainty_score":0.9875581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100262030302529,"score_gpt":0.3269283311273655,"score_spread":0.2959257108243402,"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."}}