{"id":"W2593191959","doi":"10.1016/j.foreco.2017.02.006","title":"Uneven-aged silviculture can reduce negative effects of forest management on beetles","year":2017,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Sveriges Lantbruksuniversitet; Svenska Forskningsrådet Formas; Stiftelsen Oscar och Lili Lamms Minne","keywords":"Silviculture; Chronosequence; Species richness; Felling; Clearcutting; Forest management; Ecology; Biodiversity; Thinning; Stand development; Agroforestry; Geography; Ecological succession; Biology; Forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003130387,0.0002954626,0.0002314374,0.0003979101,0.0004616567,0.0004959695,0.0002999539,0.0001592196,0.002258394],"category_scores_gemma":[0.0008616089,0.00008933273,0.0001439224,0.0002094836,0.0002176409,0.0003079321,0.0004985865,0.0001639067,0.0002273471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004215725,"about_ca_system_score_gemma":0.0004738848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004347824,"about_ca_topic_score_gemma":0.03663814,"domain_scores_codex":[0.9998143,0.00003695099,0.00001012449,0.00003165382,0.00003130453,0.00007564582],"domain_scores_gemma":[0.9993852,0.00005855225,0.000173363,0.00004135489,0.00005424977,0.0002872614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006062645,0.00560413,0.6678579,0.0004265878,0.0006587196,0.0005074196,0.000876256,0.005645989,0.1405265,0.0007354333,0.001640799,0.1694577],"study_design_scores_gemma":[0.00002937995,0.0009437765,0.9948671,0.00002141869,0.00008666433,0.00005009208,0.0004345116,0.0009958779,0.001350347,0.0002935163,0.0009214173,0.000005941853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990343,0.000146882,0.00006856837,0.00001136339,0.000005814654,0.000004257055,0.00001816983,0.000005632478,0.0007050483],"genre_scores_gemma":[0.9993145,0.00008515093,0.0002043495,0.00002328743,0.000005703636,0.000005121168,0.00004470962,0.000002163498,0.0003150202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004347824,"threshold_uncertainty_score":0.008645058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006125252080368,"score_gpt":0.2066635152962145,"score_spread":0.1966022627754108,"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."}}