{"id":"W2135560241","doi":"10.1139/x03-144","title":"Testing forest ecosystem management in boreal mixedwoods of northwestern Quebec: initial response of aspen stands to different levels of harvesting","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Centre Intégré de Santé et de Services Sociaux des Laurentides; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Université du Québec à Montréal","keywords":"Understory; Basal area; Forestry; Environmental science; Biomass (ecology); Canopy; Coarse woody debris; Silviculture; Forest management; Agroforestry; Taiga; Growing season; Agronomy; Geography; Ecology; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005967089,0.0003362595,0.0002140918,0.0002865971,0.0007991783,0.0004428014,0.0004793071,0.000298534,0.0009727],"category_scores_gemma":[0.0007442707,0.000128597,0.0001960856,0.000304536,0.0004523021,0.0002435129,0.0002825144,0.0002935234,0.0001116895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009906189,"about_ca_system_score_gemma":0.003188698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8655244,"about_ca_topic_score_gemma":0.9710406,"domain_scores_codex":[0.9996769,0.00006182675,0.0000103939,0.00005907956,0.00006567015,0.0001261485],"domain_scores_gemma":[0.9992244,0.0000913162,0.0001323396,0.00003105837,0.0002244741,0.0002964981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002368719,0.001556647,0.923714,0.00008159508,0.0001608477,0.0003269754,0.0008810811,0.002117951,0.05163426,0.00008526433,0.0006732641,0.01639946],"study_design_scores_gemma":[0.00001571339,0.0003589476,0.9982458,0.000002162586,0.000008096634,0.000009930824,0.0001924585,0.0003934345,0.0005578144,0.000006001526,0.0002057908,0.000003871597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994683,0.00004248869,0.00004265784,0.00001494841,0.000001311441,0.00002948663,0.0001538514,0.000002297011,0.0002447099],"genre_scores_gemma":[0.9977213,0.00005194925,0.0003035873,0.0000689708,0.000002222986,0.00004409066,0.0005817403,0.000002013932,0.001224126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344756,"threshold_uncertainty_score":0.2705351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042866970670923,"score_gpt":0.3023556731540397,"score_spread":0.1980689760869474,"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."}}