{"id":"W4400839958","doi":"10.1002/eap.3011","title":"Functional responses of understory plants to natural disturbance‐based management in eastern and western Canada","year":2024,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Alberta; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Canadian Forest Service; Forest Resource Improvement Association of Alberta; Fondation de l’Université du Québec en Abitibi-Témiscamingue; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Natural Resources Canada; University of Alberta; Weyerhaeuser Company","keywords":"Understory; Species richness; Ecology; Biodiversity; Disturbance (geology); Vegetation (pathology); Forest management; Biology; Species diversity; Plant community; Taiga; Geography; Canopy","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":[0.0002399018,0.0002809766,0.0002565454,0.0004860061,0.001180446,0.0006541131,0.0005756925,0.000198672,0.0009829426],"category_scores_gemma":[0.0005875217,0.000169705,0.0001770413,0.0007911322,0.0006333922,0.0001747653,0.0004485191,0.0002648611,0.00008357395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01451141,"about_ca_system_score_gemma":0.00915612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896702,"about_ca_topic_score_gemma":0.9974365,"domain_scores_codex":[0.9997692,0.00001481377,0.000008596175,0.00005712991,0.00005305906,0.00009728149],"domain_scores_gemma":[0.9992686,0.00005798918,0.000105081,0.00002832232,0.0002633919,0.0002766079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005683681,0.0001286744,0.9638418,0.00004973047,0.00009694742,0.0001428714,0.001888757,0.0005876092,0.01853996,0.0001738487,0.0007860815,0.01319543],"study_design_scores_gemma":[0.000002781885,0.00001046364,0.9990749,0.000003038794,0.000005595626,0.000008541177,0.0004256597,0.0001513752,0.000137083,0.000006523533,0.0001710061,0.000002952075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990638,0.0001072939,0.00002997619,0.00002517011,0.000001186993,0.000005023029,0.0003463247,0.000003318178,0.0004179454],"genre_scores_gemma":[0.9982933,0.0001287333,0.000093114,0.00003904551,8.112776e-7,0.000006130761,0.0004559141,0.000002946653,0.0009799652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01451141,"threshold_uncertainty_score":0.1052881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017758382492883,"score_gpt":0.2453646444290374,"score_spread":0.2276062619361544,"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."}}