{"id":"W4399385217","doi":"10.1111/gcb.17367","title":"Wildfire smoke impacts lake ecosystems","year":2024,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Trent University","funders":"Oak Ridge National Laboratory; Fondo para la Investigación Científica y Tecnológica; Office of Energy Efficiency; Water Power Technologies Office; Division of Earth Sciences; Natural Sciences and Engineering Research Council of Canada; Division of Environmental Biology; Canada Research Chairs; California Natural Resources Agency; UT-Battelle; Global Lake Ecological Observatory Network; Battelle; Office of Integrative Activities; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy; National Science Foundation","keywords":"Smoke; Environmental science; Biota; Ecosystem; Physical geography; Ecology; Meteorology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000477781,0.0004780785,0.0003008908,0.0005789508,0.001533221,0.002147615,0.000763277,0.0006383449,0.00280091],"category_scores_gemma":[0.0006187208,0.0001945549,0.0006082591,0.0007637743,0.001338173,0.001864579,0.002461842,0.0006658387,0.000273006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271055,"about_ca_system_score_gemma":0.002344173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0439753,"about_ca_topic_score_gemma":0.09858885,"domain_scores_codex":[0.9995345,0.00009955672,0.00002645463,0.00007605956,0.0001371292,0.0001262973],"domain_scores_gemma":[0.9997423,0.00003467487,0.00007495746,0.00001516246,0.00009601799,0.00003681323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001969947,0.0001999599,0.4283887,0.004819108,0.0006937903,0.002522639,0.01002651,0.01836111,0.03337467,0.0761063,0.01902696,0.4062832],"study_design_scores_gemma":[0.0000260952,0.0006041827,0.5507916,0.002717816,0.0007641242,0.001311266,0.02128011,0.01870235,0.01392443,0.04827352,0.3413457,0.0002587664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8150365,0.0607655,0.0213691,0.01337372,0.0004177455,0.0001933587,0.002713765,0.0005023353,0.08562788],"genre_scores_gemma":[0.9646742,0.02510442,0.004178883,0.00106705,0.0001137032,0.00005584047,0.0003428645,0.00003690453,0.004426157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0439753,"threshold_uncertainty_score":0.08743864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384478613220603,"score_gpt":0.2743389997268641,"score_spread":0.2504942135946581,"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."}}