{"id":"W4297830593","doi":"10.1186/s13595-022-01152-w","title":"Increasing the intensity of regeneration treatments decreased beta diversity of temperate hardwood forest understory 20 years after disturbance","year":2022,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Cegep de Sainte Foy; Canadian Forest Service; Université du Québec en Outaouais","funders":"","keywords":"Understory; Species richness; Scarification; Temperate rainforest; Temperate forest; Ecology; Biology; Canopy; Hardwood; Species diversity; Regeneration (biology); Temperate climate; Forestry; Agronomy; Ecosystem; Geography; Germination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001906622,0.0002513435,0.0002070067,0.0002899816,0.0003353588,0.0003501522,0.0003525439,0.0001663259,0.001636904],"category_scores_gemma":[0.000284365,0.0001050044,0.000171701,0.0001741773,0.0002586959,0.0001335057,0.0002281355,0.0002759097,0.00009380518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051611,"about_ca_system_score_gemma":0.0007422171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1547422,"about_ca_topic_score_gemma":0.449105,"domain_scores_codex":[0.9998412,0.00001606656,0.000007408377,0.00004237192,0.00003123586,0.00006172143],"domain_scores_gemma":[0.9994167,0.00004571518,0.0001317449,0.00003230776,0.0001130002,0.0002606307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002955144,0.0007083477,0.6868749,0.0001070359,0.000216169,0.0002197948,0.0006023818,0.0006556052,0.2907154,0.00006017236,0.0005929986,0.01629207],"study_design_scores_gemma":[0.000003809142,0.0001325772,0.998562,0.000001615233,0.000007076526,0.00001001953,0.00006925614,0.0001217071,0.0009555275,0.000002619791,0.0001322607,0.000001464943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999648,0.0000506592,0.00003236251,0.000004380613,0.000001298368,0.000004145017,0.00009648439,0.000003909608,0.0001588636],"genre_scores_gemma":[0.9988531,0.00002231207,0.00009668832,0.00001897332,0.000001565983,0.00001026769,0.0002640088,0.000001274932,0.0007318344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1547422,"threshold_uncertainty_score":0.3076829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748533510704382,"score_gpt":0.2488561877170714,"score_spread":0.2213708526100276,"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."}}