{"id":"W4214679338","doi":"10.1093/forestry/cpac010","title":"Opportunities and limitations of thinning to increase resistance and resilience of trees and forests to global change","year":2022,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of New Brunswick; Université Laval; Natural Resources Canada; University of Toronto","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Thinning; Resistance (ecology); Windthrow; Biology; Climate change; Forest management; Psychological resilience; Resilience (materials science); Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793006,0.00009172274,0.0001803026,0.0002567904,0.0001672706,0.00005265126,0.000519671,0.00002876404,0.00003622339],"category_scores_gemma":[0.0009768981,0.00008717509,0.00002716208,0.0002943213,0.0003237042,0.0005747516,0.0006992382,0.0001969353,8.825928e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608341,"about_ca_system_score_gemma":0.00005836657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599879,"about_ca_topic_score_gemma":0.007357991,"domain_scores_codex":[0.9977069,0.0002573985,0.0003863538,0.0001945932,0.00125035,0.0002044134],"domain_scores_gemma":[0.9986674,0.0005021148,0.0002049221,0.0001476522,0.0001836607,0.0002942494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007115986,0.0001043189,0.9815848,0.0000318739,0.00002762903,0.0001033283,0.002033563,0.0007650873,0.0004646835,0.005087968,0.0006779191,0.008407268],"study_design_scores_gemma":[0.0003278553,0.001139086,0.9914103,0.0001359702,0.000005688805,0.000155635,0.001298187,0.0007785527,0.00009853607,0.002125139,0.002447151,0.00007785741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970338,0.0001613564,0.00006499034,0.001405828,0.00008680892,0.0002515532,0.00009677334,0.000003414552,0.0008955193],"genre_scores_gemma":[0.9983926,0.0001069062,0.001218518,0.00005868584,0.00005884641,0.00003060016,0.000003875062,0.000007980472,0.000121922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009825578,"threshold_uncertainty_score":0.4105932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085072619249666,"score_gpt":0.3555275721292205,"score_spread":0.2470203102042539,"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."}}