{"id":"W2914057599","doi":"10.1016/j.envpol.2019.02.006","title":"A synthesis of ecosystem management strategies for forests in the face of chronic nitrogen deposition","year":2019,"lang":"en","type":"review","venue":"Environmental Pollution","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Environment Research Council; U.S. Environmental Protection Agency","keywords":"Alkalinity; Thinning; Environmental science; Deposition (geology); Context (archaeology); Species richness; Ecosystem; Environmental remediation; Ecology; Agronomy; Chemistry; Geography; Biology","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":[0.001446625,0.001381195,0.002574092,0.003304905,0.0003656284,0.001664659,0.001329573,0.001744072,0.003752938],"category_scores_gemma":[0.002031731,0.0004076,0.0009908505,0.003899989,0.0005258317,0.001530091,0.0009820767,0.001773588,0.0008046408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217947,"about_ca_system_score_gemma":0.002495907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955712,"about_ca_topic_score_gemma":0.008775536,"domain_scores_codex":[0.9996563,0.00006279573,0.0000812228,0.00008058811,0.00008140451,0.00003761466],"domain_scores_gemma":[0.9989567,0.0006632551,0.0001488586,0.00002267722,0.0001538465,0.00005469707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001065662,0.00009159723,0.0002184354,0.07901682,0.0003235505,0.0001193451,0.0000972208,0.0009357441,0.0007563268,0.00475165,0.01546041,0.8981223],"study_design_scores_gemma":[0.00004181387,0.0002071865,0.002035725,0.06010273,0.001038866,0.0007404027,0.0001607905,0.0003494391,0.000392131,0.00573269,0.9291467,0.00005143591],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004540875,0.9993973,0.00009294569,0.00011891,0.00007696369,0.000002704179,0.00001319188,0.000001994828,0.000250489],"genre_scores_gemma":[0.0003921194,0.9990035,0.0002540721,0.0001183158,0.00009652624,0.000004399976,0.00001915671,7.164525e-7,0.0001111254],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003955712,"threshold_uncertainty_score":0.01255488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298497145540191,"score_gpt":0.2416379999848162,"score_spread":0.2286530285294143,"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."}}