{"id":"W4403251654","doi":"10.5558/tfc2024-029","title":"Tree growth history, legacy of large-scale forest management and climatic variability in North Finland","year":2024,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Geography; Forestry; Dendrochronology; Forest management; Tree (set theory); Agroforestry; Physical geography; Environmental science; Archaeology; Cartography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002939249,0.000102798,0.0001749,0.0005858783,0.0004210793,0.0004072937,0.0001885632,0.0002265547,0.0006467698],"category_scores_gemma":[0.0004385202,0.0001181837,0.000156683,0.0006584781,0.0003294139,0.0003135315,0.000336349,0.0001226035,0.000128376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005699035,"about_ca_system_score_gemma":0.0003446525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02569858,"about_ca_topic_score_gemma":0.07587636,"domain_scores_codex":[0.9998823,0.00002095241,0.00001030526,0.00003683177,0.00001598477,0.00003364514],"domain_scores_gemma":[0.9996284,0.0001082021,0.0001221786,0.00002215999,0.00003832118,0.00008064661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001035877,0.00003967099,0.9897318,0.0000323897,0.00003409673,0.0004553708,0.001523374,0.0002682274,0.002549427,0.00005856533,0.00009259583,0.005110717],"study_design_scores_gemma":[7.103258e-7,0.0000153413,0.9993929,0.000001449269,0.000003226463,0.00006000615,0.0003039176,0.00005326146,0.00003956568,0.000009060333,0.0001191619,0.000001425223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995196,0.00009397768,0.00002208562,0.000009685904,0.000001028834,9.684376e-7,0.0001173917,0.000001180219,0.0002340482],"genre_scores_gemma":[0.9995736,0.0000660291,0.00002959663,0.000005391664,0.00000210228,0.000002305774,0.0001668863,6.925434e-7,0.0001532214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02569858,"threshold_uncertainty_score":0.05109799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247043928207004,"score_gpt":0.2187718521604644,"score_spread":0.2063014128783943,"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."}}