{"id":"W3138116769","doi":"10.3389/ffgc.2021.639397","title":"Compared to Wildfire, Management Practices Reduced Old-Growth Forest Diversity and Functionality in Primary Boreal Landscapes of Eastern Canada","year":2021,"lang":"en","type":"article","venue":"Frontiers in Forests and Global Change","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Chicoutimi","keywords":"Taiga; Disturbance (geology); Logging; Transect; Geography; Context (archaeology); Boreal; Forestry; Forest management; Ecology; Environmental science; Agroforestry; Environmental resource management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003661277,0.000309009,0.0002314906,0.0009897414,0.002242832,0.001455666,0.0005694635,0.0001732315,0.002085856],"category_scores_gemma":[0.0009364336,0.0001435699,0.0002429065,0.001357339,0.0008239249,0.0004098026,0.0005602068,0.000338051,0.0001255066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01553556,"about_ca_system_score_gemma":0.01906765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891685,"about_ca_topic_score_gemma":0.998661,"domain_scores_codex":[0.9995683,0.0000228525,0.00001576583,0.00009918631,0.00010752,0.0001865075],"domain_scores_gemma":[0.9990632,0.00004406624,0.0001503965,0.0000327141,0.0003467372,0.0003629798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201587,0.00006794922,0.957558,0.0001060101,0.00009778026,0.0002270504,0.001899082,0.0006227054,0.00371154,0.0003647002,0.001818155,0.03340684],"study_design_scores_gemma":[0.000001717004,0.000008253726,0.997332,0.00001508938,0.00001039225,0.00003144682,0.0009572664,0.0001113844,0.00008831573,0.00002073258,0.001418675,0.000004630949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936398,0.0007520365,0.0002446024,0.0001678797,0.00001017115,0.00002803502,0.001215707,0.00002201745,0.003919835],"genre_scores_gemma":[0.9968321,0.000394284,0.0003295585,0.00008018711,0.000003444096,0.000008019962,0.0005112669,0.000006509111,0.001834595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553556,"threshold_uncertainty_score":0.1127189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430064453609628,"score_gpt":0.2113412402371076,"score_spread":0.1970405957010113,"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."}}