{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004033833,0.0001299492,0.0001531544,0.00001201417,0.00007784233,0.00002222614,0.0002845667,0.00004709558,0.00002632809],"category_scores_gemma":[0.000008901511,0.00007215452,0.00003494532,0.0001566358,0.0001798489,0.0001588755,0.00009156804,0.00008879373,0.000001913382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270799,"about_ca_system_score_gemma":0.00004926459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05228736,"about_ca_topic_score_gemma":0.3414445,"domain_scores_codex":[0.9989984,0.0001035326,0.0001840245,0.0002134282,0.000222849,0.0002777888],"domain_scores_gemma":[0.999361,0.0002599784,0.00007891691,0.0002612872,0.000006350951,0.00003244127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003894426,0.001618765,0.6266572,0.0103331,0.0006911264,0.001579395,0.1112394,0.03433523,0.05675392,0.02643861,0.0570443,0.0694145],"study_design_scores_gemma":[0.002078862,0.00246436,0.6978764,0.001840917,0.000129948,0.0003249491,0.0025537,0.2793598,0.0109211,0.0008315532,0.0009503715,0.00066804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995674,0.002134968,0.0002922897,0.0002981985,0.00008331521,0.001339067,0.00004842295,0.00001084515,0.0001188887],"genre_scores_gemma":[0.999501,0.00006500864,0.00004487335,0.00004906848,0.00004299796,0.0002526556,0.000005167849,0.00001277414,0.00002645191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2891571,"threshold_uncertainty_score":0.9540235,"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."}}