{"id":"W2060194454","doi":"10.1191/0959683602hl587rp","title":"Tree-ring width and density data around the Northern Hemisphere: Part 1, local and regional climate signals","year":2002,"lang":"en","type":"article","venue":"The Holocene","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":378,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Northern Hemisphere; Dendroclimatology; Climatology; Precipitation; Dendrochronology; Maximum density; Forcing (mathematics); Southern Hemisphere; Climate change; Snowmelt; Physical geography; Geology; Environmental science; Snow; Geography; Meteorology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003076354,0.0001625697,0.0002504641,0.001269814,0.0002920322,0.0004415104,0.0001697387,0.0001064853,0.001847534],"category_scores_gemma":[0.0004382386,0.0001049101,0.0001380021,0.001912199,0.0001765883,0.0001393587,0.0002408821,0.0001068326,0.0003049416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723683,"about_ca_system_score_gemma":0.000252327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05691094,"about_ca_topic_score_gemma":0.09893509,"domain_scores_codex":[0.9998862,0.00002027722,0.00000785159,0.00003117616,0.0000289555,0.00002558494],"domain_scores_gemma":[0.9996283,0.00006579227,0.0001031647,0.00004525232,0.00008444648,0.00007294364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009378856,0.00001525573,0.9835804,0.0000250118,0.00004357873,0.0001179196,0.0002646136,0.0009683469,0.002960246,0.00005474177,0.0006072681,0.01126886],"study_design_scores_gemma":[9.30398e-7,0.000005350135,0.9993098,0.000001002674,0.000004404903,0.00002498431,0.00003972,0.0001241615,0.00009536096,0.000004916658,0.000388089,0.000001352678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924383,0.0001471693,0.000182356,0.000009555708,0.00000162449,0.000009995309,0.005291842,0.00002073592,0.001898476],"genre_scores_gemma":[0.9914751,0.0001467324,0.0003798661,0.000005879302,0.000008552734,0.00001983199,0.007192647,0.000009891737,0.0007614628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05691094,"threshold_uncertainty_score":0.1131594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05801579281402366,"score_gpt":0.2384574391868128,"score_spread":0.1804416463727891,"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."}}