{"id":"W4410423407","doi":"10.1016/j.foreco.2025.122788","title":"Potential of thinning to increase forest resilience and resistance to drought, pest, windstorm and fire: A meta-analysis","year":2025,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thinning; Resilience (materials science); PEST analysis; Resistance (ecology); Environmental science; Agroforestry; Forestry; Ecology; Geography; Biology; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01299198,0.003170682,0.01103989,0.004614362,0.0006473007,0.003415566,0.002795291,0.002328788,0.003959616],"category_scores_gemma":[0.02361404,0.001594103,0.05606309,0.00471311,0.0007531102,0.001495544,0.001522998,0.002327556,0.000421908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625824,"about_ca_system_score_gemma":0.002063664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00834481,"about_ca_topic_score_gemma":0.0110366,"domain_scores_codex":[0.992618,0.004105705,0.00135214,0.001219339,0.0004122826,0.0002925551],"domain_scores_gemma":[0.983305,0.01311689,0.001514129,0.001014162,0.0006881062,0.0003617928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001868666,0.000038291,0.007163659,0.03913108,0.9454566,0.0001555822,0.00004997042,0.00133139,0.0004628352,0.0001212686,0.0003026545,0.003917976],"study_design_scores_gemma":[0.0002185882,0.0001528134,0.003800307,0.00175913,0.9928104,0.00005311916,0.00002177398,0.0003761947,0.0001326739,0.0001994743,0.0004609038,0.0000146226],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05571701,0.9335948,0.005201675,0.0008186238,0.0005295856,0.0003391338,0.002630042,0.0002448598,0.0009242931],"genre_scores_gemma":[0.8297,0.1586788,0.006244117,0.001323545,0.0003224504,0.0006580887,0.002248635,0.0001392752,0.0006851248],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01299198,"threshold_uncertainty_score":0.06870896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008114972022899488,"score_gpt":0.2246082056096128,"score_spread":0.2164932335867134,"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."}}