{"id":"W4322746174","doi":"10.1007/978-3-031-15988-6_1","title":"Ecosystem Management of the Boreal Forest in the Era of Global Change","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in global change research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; University of Alberta; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Taiga; Boreal ecosystem; Boreal; Ecosystem; Environmental science; Global change; Geography; Environmental resource management; Ecology; Forest ecology; Agroforestry; Forestry; Climate change; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002958289,0.0003433013,0.0005330821,0.00006879323,0.00008577912,0.00002328017,0.002200504,0.0002582508,0.00005582066],"category_scores_gemma":[0.00004633505,0.0002265378,0.0001663012,0.001138704,0.0004808269,0.0002920034,0.001619993,0.0006728876,0.0002204561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701502,"about_ca_system_score_gemma":0.00002327201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01066371,"about_ca_topic_score_gemma":0.1894449,"domain_scores_codex":[0.9950475,0.0004199663,0.0006275971,0.0006494391,0.002452313,0.0008031871],"domain_scores_gemma":[0.9982194,0.0002776177,0.0002974926,0.001093727,0.00003884393,0.00007297728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002350541,0.0002644031,0.5269535,0.004253984,0.0001000141,0.0006014589,0.00105132,0.0000685104,0.000001322819,0.1850102,0.001807154,0.2796531],"study_design_scores_gemma":[0.001057107,0.0005323525,0.8592053,0.007478757,0.0000363096,0.00003307371,0.0007602153,0.0008702481,0.000005517083,0.03574713,0.0936782,0.0005957697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02768713,0.008010427,0.000003539214,0.001062121,0.001210865,0.007840985,0.00141919,0.00004052643,0.9527252],"genre_scores_gemma":[0.9912322,0.005430192,0.00003500898,0.00004993034,0.0002175872,0.0007990852,0.00002528272,0.00003979601,0.002170911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9635451,"threshold_uncertainty_score":0.9959244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0657570190840384,"score_gpt":0.3483096580594413,"score_spread":0.2825526389754029,"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."}}