{"id":"W2157316594","doi":"10.1111/gcb.12404","title":"Disturbance legacies and climate jointly drive tree growth and mortality in an intensively studied boreal forest","year":2013,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Dendrochronology; Boreal; Climate change; Basal area; Context (archaeology); Disturbance (geology); Precipitation; Environmental science; Ecology; Physical geography; Forest dynamics; Dendroclimatology; Geography; Climatology; Forestry; Biology; Geology; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006251039,0.0001134161,0.0001576192,0.00001487082,0.00005209237,0.00002224172,0.00007471946,0.00007745397,0.000005934172],"category_scores_gemma":[0.00001204051,0.00008831333,0.00001261323,0.00008369033,0.0003169601,0.0002193123,0.000212713,0.00005768024,0.00001010203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000050587,"about_ca_system_score_gemma":0.000001524343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008947175,"about_ca_topic_score_gemma":0.02084174,"domain_scores_codex":[0.9992626,0.00004469782,0.0001233224,0.0002721319,0.00004461884,0.000252674],"domain_scores_gemma":[0.9997751,0.00001126479,0.00004367484,0.00009003278,0.000008471469,0.00007151627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007443861,0.00001804926,0.996038,0.000003521004,0.000004773595,0.000004630397,0.0001803298,4.594368e-7,0.0000892896,0.001527886,0.00001466647,0.00211099],"study_design_scores_gemma":[0.000196409,0.000115561,0.9934737,0.000004444702,0.000006675291,0.0000122951,0.00009292184,0.00252971,0.000001829284,0.003422064,0.00003779804,0.0001065556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972016,0.0001286054,0.00001576339,0.0002252592,0.00005739953,0.0002185827,0.0001300731,0.00001712176,0.002005567],"genre_scores_gemma":[0.9992309,0.0002757469,0.0001253349,0.0002272,0.00002085757,0.00004297023,0.00006995451,0.00000290575,0.000004198123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01189457,"threshold_uncertainty_score":0.9976524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342407087379007,"score_gpt":0.2484721218493096,"score_spread":0.2250480509755196,"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."}}