{"id":"W2942601404","doi":"10.1002/ecs2.2706","title":"Savanna canopy trees under fire: long‐term persistence and transient dynamics from a stage‐based matrix population model","year":2019,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Charles Darwin University; Australian National University","keywords":"Understory; Population; Disturbance (geology); Canopy; Fire regime; Ecology; Environmental science; Geography; Vegetation (pathology); Population growth; Population model; Fire ecology; Ecosystem; Biology; Demography","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":[0.0008423863,0.000405948,0.0005306673,0.0004473383,0.0004876477,0.0007630799,0.001196531,0.0009333084,0.001827322],"category_scores_gemma":[0.002380154,0.0003997163,0.0008473006,0.000407687,0.0004515,0.0007651472,0.000454104,0.000913468,0.0001780265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113189,"about_ca_system_score_gemma":0.000752313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03060876,"about_ca_topic_score_gemma":0.02104066,"domain_scores_codex":[0.9998538,0.00005408125,0.000008023693,0.00004113766,0.00001574554,0.00002719952],"domain_scores_gemma":[0.9986241,0.0009209424,0.0001753141,0.0000510657,0.0001485847,0.00008002052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002699168,0.00001863616,0.004299213,0.000009770883,0.00002530792,0.00003229092,0.00003699398,0.9924343,0.0003498113,0.001695755,0.00008983586,0.0009812152],"study_design_scores_gemma":[0.000003515659,0.000009361822,0.0004393465,0.000001295042,0.000005086455,0.000005469583,0.000005988132,0.9990575,0.00002238275,0.0004192576,0.00002850443,0.000002283225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90282,0.00011988,0.09422106,0.0002262238,0.00001702208,0.00004506651,0.0004712337,0.0001074345,0.001972148],"genre_scores_gemma":[0.993284,0.00006151526,0.004991983,0.0000211345,0.000007668094,0.00005564181,0.0001913849,0.00001183989,0.001374819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03060876,"threshold_uncertainty_score":0.06086123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858441663831716,"score_gpt":0.2123083921830412,"score_spread":0.203723975544724,"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."}}