{"id":"W2085206104","doi":"10.1007/s10980-007-9109-3","title":"Scale-dependent determinants of heterogeneity in fire frequency in a coniferous boreal forest of eastern Canada","year":2007,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Landscape ecology; Taiga; Nature Conservation; Geography; Boreal; Ecology; Scale (ratio); Fire regime; Fire ecology; Environmental science; Physical geography; Forestry; Biology; Ecosystem; Habitat; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005062482,0.0001222882,0.0003727775,0.00005448515,0.00001365388,0.000002041192,0.0002415503,0.0001268173,0.0001088465],"category_scores_gemma":[0.00003785627,0.0001053511,0.00002814176,0.0001639865,0.00007113379,0.00005647992,0.0001060031,0.0001076988,0.00001259671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719912,"about_ca_system_score_gemma":0.00006534238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7502732,"about_ca_topic_score_gemma":0.999477,"domain_scores_codex":[0.9985434,0.00009476989,0.0005239552,0.0002477372,0.0001938591,0.0003962849],"domain_scores_gemma":[0.9993456,0.0001670189,0.0001889461,0.000218794,0.000006982949,0.00007266752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004053047,0.0001017739,0.9940392,0.00003719906,0.000003223789,0.0002095391,0.00009850618,0.0001319992,0.0004867445,7.065552e-7,0.00002512709,0.004825402],"study_design_scores_gemma":[0.0007572729,0.0001843156,0.9926901,0.00002301553,0.000003255618,0.00003671592,0.00004373912,0.003577908,0.002552863,0.00001910824,0.00001175173,0.00009997139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978695,0.0000273015,0.000003431313,0.00001505143,0.0002381219,0.0002815907,0.00001726514,0.000005099762,0.001542652],"genre_scores_gemma":[0.999858,0.000003350598,0.00004181706,0.00003190689,0.00001183976,0.0000130936,0.000004215697,0.00001049517,0.00002524921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2492038,"threshold_uncertainty_score":0.4296094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005005350403885553,"score_gpt":0.2142387073646029,"score_spread":0.2092333569607173,"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."}}