{"id":"W1989955081","doi":"10.1111/j.1654-1103.2011.01338.x","title":"The influence of landscape‐level heterogeneity in fire frequency on canopy composition in the boreal forest of eastern Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Forest Service; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"","keywords":"Taiga; Abies balsamea; Ecological succession; Ecology; Abundance (ecology); Canopy; Relative species abundance; Fire regime; Boreal; Fire ecology; Edaphic; Geography; Vegetation (pathology); Black spruce; Environmental gradient; Environmental science; Physical geography; Balsam; Ecosystem; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003978266,0.0001856143,0.0002741981,0.0006673164,0.00119056,0.0008981952,0.0005718714,0.0001755618,0.001143788],"category_scores_gemma":[0.001128628,0.0001425369,0.0002470644,0.0009030196,0.00059708,0.0002280414,0.0003813026,0.0002278264,0.00007455765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007749557,"about_ca_system_score_gemma":0.004961023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9753233,"about_ca_topic_score_gemma":0.9906285,"domain_scores_codex":[0.9996068,0.00004198877,0.00001636134,0.0001275823,0.00008260171,0.0001247623],"domain_scores_gemma":[0.9988902,0.0001598522,0.0001742389,0.00005002871,0.0004210364,0.0003047007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000109694,0.00001876533,0.9900633,0.00001816705,0.00007566834,0.0000589864,0.0003685049,0.0003356716,0.002996108,0.00006468147,0.0002829223,0.005607597],"study_design_scores_gemma":[0.000001123339,0.000003510863,0.9994783,0.000002581015,0.000005478623,0.00001069773,0.0002161343,0.0001506261,0.00003229105,0.000005778412,0.0000914616,0.00000205362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986799,0.000144978,0.00008942909,0.00003240006,0.000002314436,0.000004633774,0.0004481835,0.000005524343,0.0005925975],"genre_scores_gemma":[0.9995066,0.00003965386,0.0000798271,0.00001316742,9.156612e-7,0.000001983501,0.0001996442,0.000001930183,0.0001561705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02467674,"threshold_uncertainty_score":0.05622727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792607185204627,"score_gpt":0.2361761785084863,"score_spread":0.21825010665644,"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."}}