{"id":"W4399139092","doi":"10.5558/tfc2024-016","title":"Adaptive silviculture for climate change in the Great Lakes- St. Lawrence Forest Region of Canada: Background and design of a long-term experiment","year":2024,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université du Québec à Montréal; Natural Resources Canada","funders":"","keywords":"Silviculture; Climate change; Term (time); Environmental science; Geography; Agroforestry; Forestry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001364672,0.0006872237,0.0006345169,0.0003628854,0.003061713,0.0009147131,0.002174116,0.0006709264,0.001145886],"category_scores_gemma":[0.001020752,0.0003856496,0.0004898877,0.0005154968,0.001545022,0.0003015524,0.0006195206,0.0009993864,0.0001887388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02496306,"about_ca_system_score_gemma":0.03093422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8589925,"about_ca_topic_score_gemma":0.9594737,"domain_scores_codex":[0.9985611,0.000245265,0.000060219,0.0003526412,0.0003318014,0.0004490335],"domain_scores_gemma":[0.9985862,0.0001418368,0.0001975125,0.0001280966,0.0004416974,0.0005047768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0518838,0.0809149,0.1857705,0.001408117,0.000774793,0.0009629736,0.01007496,0.01379483,0.5219104,0.004018977,0.008103701,0.120382],"study_design_scores_gemma":[0.005012861,0.08161929,0.7929204,0.0001886906,0.0009199295,0.0001246095,0.006069841,0.01345105,0.05433394,0.001460885,0.04347074,0.0004276891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915975,0.0001407379,0.001110353,0.0001569962,0.00003644951,0.004020635,0.0006790282,0.00004595498,0.002212331],"genre_scores_gemma":[0.9453793,0.0005342204,0.01749067,0.0007834427,0.00004566605,0.0181402,0.001601657,0.0000449063,0.01597997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410075,"threshold_uncertainty_score":0.2836758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375390588976372,"score_gpt":0.2560218935553674,"score_spread":0.2184828346577302,"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."}}