{"id":"W3155012700","doi":"10.1111/geb.13291","title":"Multi‐decade tree mortality in temperate old‐growth forests of Europe and North America: Non‐equilibrial dynamics and species‐individualistic response to disturbance","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Agentúra na Podporu Výskumu a Vývoja; Javna Agencija za Raziskovalno Dejavnost RS; Ministry of Business, Innovation and Employment; McGill University","keywords":"Temperate rainforest; Ecology; Temperate forest; Temperate climate; Forest dynamics; Disturbance (geology); Geography; Abundance (ecology); Old-growth forest; Biology; Ecosystem","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008591028,0.0001666077,0.0001810074,0.0006380128,0.0002207915,0.0003826002,0.0002824487,0.0002056551,0.0007434747],"category_scores_gemma":[0.0011321,0.00008243284,0.0001633025,0.0003857676,0.000170915,0.0004149998,0.000381194,0.0001289846,0.00008158776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600017,"about_ca_system_score_gemma":0.0001250486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003607127,"about_ca_topic_score_gemma":0.007850513,"domain_scores_codex":[0.9997967,0.00004225588,0.00001567141,0.00008374494,0.00002697468,0.00003477816],"domain_scores_gemma":[0.999188,0.0001566289,0.0003771046,0.00006964262,0.0001135342,0.00009512011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005847065,0.00002390866,0.9958525,0.000009463633,0.00003680246,0.00003017851,0.0001216976,0.0005358657,0.0009496342,0.00003436614,0.00007004584,0.002277063],"study_design_scores_gemma":[7.156447e-7,0.0000117875,0.9992428,0.000001938668,0.000003468074,0.00002081789,0.00007606093,0.0005049859,0.00005981928,0.00001990658,0.00005669915,9.749889e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995022,0.00007270588,0.0001307121,0.000006104646,0.00000110125,0.000001277398,0.000146276,0.000002500315,0.0001371558],"genre_scores_gemma":[0.9994996,0.00002900205,0.00006519118,0.000004432517,0.000002202054,0.000003359947,0.0003132123,0.000001159245,0.00008186231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003607127,"threshold_uncertainty_score":0.007172227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008538062937461812,"score_gpt":0.2330417765828348,"score_spread":0.224503713645373,"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."}}