{"id":"W3162578329","doi":"10.1002/ecs2.3529","title":"Size‐, species‐, and site‐specific tree growth responses to climate variability in old‐growth subalpine forests","year":2021,"lang":"en","type":"article","venue":"Ecosphere","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada; U.S. Forest Service; University of Victoria","keywords":"Basal area; Climate change; Dendrochronology; Ecology; Environmental science; Tree (set theory); Competition (biology); Geography; Biology; Mathematics","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":[0.0005114336,0.0002599962,0.000178279,0.0004652106,0.0002300147,0.0005264962,0.0004117872,0.0001674831,0.0005575789],"category_scores_gemma":[0.001020714,0.0001143202,0.0003081059,0.0003899084,0.0002920347,0.0002714257,0.0002339725,0.0001781892,0.00007227019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283231,"about_ca_system_score_gemma":0.0005481701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2503103,"about_ca_topic_score_gemma":0.3375387,"domain_scores_codex":[0.9998757,0.00002125433,0.000004816302,0.00004062564,0.00002268769,0.0000350271],"domain_scores_gemma":[0.9995011,0.0001583968,0.0001007984,0.00003640302,0.00009424151,0.0001089978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164119,0.0000441181,0.9767683,0.00001821356,0.0000894507,0.00008384952,0.0002453371,0.00847175,0.009380206,0.0001268816,0.0001442488,0.004511312],"study_design_scores_gemma":[0.000001902968,0.00000919607,0.9871465,0.000001912345,0.00001093016,0.00002788804,0.0001201485,0.01217416,0.0002707812,0.00007985201,0.0001525296,0.000004289289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994999,0.00002816558,0.0001922522,0.000007746835,9.883696e-7,0.000001381923,0.00009738179,0.00001124801,0.000160968],"genre_scores_gemma":[0.9996566,0.0000189834,0.00009644806,0.000003929018,9.319928e-7,0.000001556581,0.0001222217,0.00000241204,0.0000969207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2503103,"threshold_uncertainty_score":0.4977067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339852704745325,"score_gpt":0.2185965383369914,"score_spread":0.2051980112895382,"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."}}