{"id":"W4322746087","doi":"10.1007/978-3-031-15988-6_30","title":"Current Symptoms of Climate Change in Boreal Forest Trees and Wildlife","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; Université du Québec à Rimouski; Université du Québec à Montréal; University of New Brunswick","funders":"","keywords":"Taiga; Climate change; Boreal; Wildlife; Ecology; Ecosystem; Forest ecology; Boreal ecosystem; Environmental science; Biota; Geography; Global warming; Environmental resource management; Agroforestry; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001534102,0.0003577651,0.0006036892,0.000322704,0.00006022931,0.000026135,0.000547094,0.000270439,0.00005758566],"category_scores_gemma":[0.00009830596,0.000341747,0.00007056097,0.0005093392,0.0006263838,0.0005293578,0.001183767,0.0006335062,0.00025711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008515937,"about_ca_system_score_gemma":0.00001624661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006295328,"about_ca_topic_score_gemma":0.1220866,"domain_scores_codex":[0.9962736,0.0001539968,0.0004957693,0.0008046174,0.001298589,0.0009734262],"domain_scores_gemma":[0.9988486,0.0003236878,0.0001696153,0.0004516543,0.00002625956,0.000180146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006928023,0.00005104335,0.4601032,0.0005802645,0.000005870247,0.00009854817,0.000249874,0.000004530835,6.237772e-7,0.008089181,0.0001417468,0.5306059],"study_design_scores_gemma":[0.001142347,0.000974573,0.8050259,0.005795771,0.00001308101,0.00001635118,0.00006223917,0.002396696,0.000002225518,0.01555513,0.1682238,0.0007919457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09414031,0.09089585,0.000003090674,0.0008778978,0.002447516,0.009445509,0.002313688,0.0002128086,0.7996634],"genre_scores_gemma":[0.7548842,0.2406696,0.00004796654,0.00008732591,0.0008127292,0.001361647,0.0001697167,0.0001570131,0.001809818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7978535,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05865494572077933,"score_gpt":0.3685961458643454,"score_spread":0.309941200143566,"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."}}