{"id":"W4322746026","doi":"10.1007/978-3-031-15988-6_8","title":"Ecological Classification in Forest Ecosystem Management: Links Between Current Practices and Future Climate Change in a Québec Case Study","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in global change research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; Espace pour la vie; Université de Montréal; Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Climate change; Disturbance (geology); Taiga; Forest management; Forest ecology; Ecology; Ecosystem; Environmental resource management; Geography; Vegetation (pathology); Boreal; Forest restoration; Ecosystem management; Environmental science; Agroforestry; Forestry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004174837,0.0004328705,0.0006477029,0.0005011283,0.0001502326,0.00009532504,0.0005828282,0.0005356199,0.00005952659],"category_scores_gemma":[0.0001066117,0.0003996927,0.00005124562,0.0007722673,0.0001703587,0.0008876949,0.00136146,0.001696106,0.0004049824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002932756,"about_ca_system_score_gemma":0.00002369136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02862098,"about_ca_topic_score_gemma":0.8793797,"domain_scores_codex":[0.9951683,0.0006857788,0.0007165004,0.001330856,0.001111439,0.0009870761],"domain_scores_gemma":[0.9981388,0.0006562607,0.0004531489,0.0005456767,0.00002720613,0.000178905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000520484,0.00021416,0.7065942,0.0009177303,0.0000112617,0.005260393,0.0008275303,0.000002666962,5.644457e-8,0.001182105,0.00001974616,0.2849181],"study_design_scores_gemma":[0.001418451,0.0008649146,0.8777257,0.001679124,0.00003234082,0.0001302367,0.003705362,0.002044423,6.694818e-8,0.001161986,0.1105433,0.0006940858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793815,0.02019713,9.294532e-7,0.001414461,0.001257425,0.01780599,0.0005268171,0.0001558145,0.07925994],"genre_scores_gemma":[0.9628375,0.03306001,0.0000217476,0.000014897,0.0007791662,0.002803707,0.00004791087,0.00005432332,0.0003807762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8507587,"threshold_uncertainty_score":0.9998455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1647980172639906,"score_gpt":0.427685681802465,"score_spread":0.2628876645384745,"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."}}