{"id":"W2228608271","doi":"10.1111/jvs.12373","title":"Pre‐industrial landscape composition patterns and post‐industrial changes at the temperate–boreal forest interface in western Quebec, Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Tembec","keywords":"Abies balsamea; Disturbance (geology); Dominance (genetics); Taiga; Geography; Boreal; Temperate climate; Balsam; Ecological succession; Ecology; Composition (language); Temperate rainforest; Physical geography; Forestry; Environmental science; Ecosystem; Biology; Archaeology","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":[0.0003021553,0.0002414447,0.0001967452,0.001267939,0.001711692,0.001129423,0.0007622979,0.0002478167,0.00297645],"category_scores_gemma":[0.0006418967,0.0001498706,0.0002117503,0.002611829,0.000649114,0.0003436163,0.0004058648,0.0003209527,0.0001801912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02689764,"about_ca_system_score_gemma":0.01271911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9970981,"about_ca_topic_score_gemma":0.998989,"domain_scores_codex":[0.9997227,0.00001886012,0.000009829076,0.00006310596,0.00005683549,0.0001287537],"domain_scores_gemma":[0.9989793,0.00004656094,0.0001341737,0.00002763903,0.0005748722,0.0002374758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001095019,0.00004759778,0.9710912,0.00005508185,0.00006194874,0.000184897,0.001246787,0.0007247212,0.001235533,0.0002480089,0.002596878,0.02239784],"study_design_scores_gemma":[0.000002972876,0.000003867446,0.9983156,0.00001285453,0.000005034479,0.00001277278,0.0005047595,0.0002720411,0.00003670969,0.000008298513,0.0008213481,0.000003715603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920514,0.0008398175,0.0002204852,0.0002798029,0.00001014546,0.00002539681,0.003283381,0.00002443785,0.003265123],"genre_scores_gemma":[0.9970643,0.0001987183,0.0002080505,0.00005050996,0.000002906778,0.000008997013,0.00111689,0.000005296748,0.001344456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02689764,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486816944484659,"score_gpt":0.2365574487118461,"score_spread":0.2216892792669996,"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."}}