{"id":"W2163409669","doi":"10.1175/2008jcli2342.1","title":"Reconstructing Millennial-Scale, Regional Paleoclimates of Boreal Canada during the Holocene","year":2008,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Holocene; Climatology; Geology; Holocene climatic optimum; Boreal; Paleoclimatology; Context (archaeology); Climate change; Precipitation; Physical geography; Oceanography; Geography; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002139944,0.000171408,0.000121502,0.001346235,0.0008518301,0.0007840594,0.0003416877,0.000170471,0.0008019036],"category_scores_gemma":[0.0007577026,0.000140263,0.0002327827,0.001411376,0.0002020256,0.0002101915,0.0002945376,0.0002139247,0.00007476754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006734268,"about_ca_system_score_gemma":0.005801495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9703726,"about_ca_topic_score_gemma":0.9881725,"domain_scores_codex":[0.99992,0.000005431223,0.000004334933,0.00002434593,0.00002126927,0.00002468163],"domain_scores_gemma":[0.9996877,0.0000249403,0.00005010992,0.00001576449,0.0001646234,0.00005700688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001956385,0.00003927062,0.9302101,0.0000907612,0.0002617875,0.0002982412,0.001160954,0.01304885,0.005435471,0.0008351989,0.002767468,0.04565623],"study_design_scores_gemma":[0.000006662181,0.000004968427,0.9922093,0.00001983298,0.00003212295,0.000052553,0.0004453841,0.004121719,0.0002888186,0.00005573915,0.002753081,0.000009836313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951736,0.000573986,0.0002625018,0.0000881489,0.000005510389,0.000008633112,0.002080233,0.00003883013,0.001768643],"genre_scores_gemma":[0.9975224,0.0002231934,0.0006635239,0.00001187032,0.000002030376,0.000003710881,0.001258264,0.000007440369,0.0003075003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962744,"threshold_uncertainty_score":0.05960381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562937197862735,"score_gpt":0.2203817099961569,"score_spread":0.2047523380175295,"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."}}