{"id":"W2416259737","doi":"10.1890/15-0887","title":"Extended density‐dependent mortality in mature conifer forests: causes and implications for ecosystem management","year":2016,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","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; University of Alberta; Alberta Conservation Association","keywords":"Ecology; Thinning; Ecosystem; Pinus contorta; Geography; Canopy; Stand development; Ecological succession; Basal area; Forest ecology; Biology","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":[0.0006602586,0.0001886048,0.0001969165,0.0008362067,0.0004217586,0.0005103211,0.0003453529,0.0002889107,0.0006193255],"category_scores_gemma":[0.001028215,0.0001428668,0.0001567928,0.0005949858,0.0005349756,0.0003757496,0.0003484302,0.0002776934,0.0000507794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007153627,"about_ca_system_score_gemma":0.0005696904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0284429,"about_ca_topic_score_gemma":0.08181327,"domain_scores_codex":[0.9997963,0.00003800169,0.00001642565,0.00005110074,0.00003779279,0.00006038338],"domain_scores_gemma":[0.9988542,0.0001715266,0.0005352793,0.00004588967,0.0001770669,0.0002160895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002658595,0.0000248192,0.9930996,0.00001443157,0.00001433356,0.00008892785,0.0001090238,0.00007044493,0.0002616967,0.00003897149,0.00005889061,0.006192371],"study_design_scores_gemma":[6.398905e-7,0.000009627708,0.9995956,0.00000324352,0.000002671081,0.00005042442,0.0001376616,0.0001160906,0.00001124284,0.00003338296,0.00003812396,0.000001311871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978641,0.001508426,0.0001108344,0.0001274531,0.000005189333,0.000005893253,0.00007691814,0.000004543169,0.0002967214],"genre_scores_gemma":[0.9993893,0.0004076331,0.00005822929,0.00001523775,0.00001314958,0.000002205392,0.00005361121,4.491049e-7,0.0000601871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0284429,"threshold_uncertainty_score":0.05655473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292543634337552,"score_gpt":0.2576311251335137,"score_spread":0.2447056887901382,"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."}}