{"id":"W4384832305","doi":"10.1002/ecs2.4605","title":"The influence of postfire recovery and environmental conditions on boreal vegetation","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Ministry of Natural Resources and Forestry; Université Laval; Wilfrid Laurier University","funders":"Aurora Research Institute","keywords":"Environmental science; Vegetation (pathology); Plant community; Biome; Understory; Boreal; Fire regime; Ecology; Taiga; Ecosystem; Geography; Canopy; Forestry; Ecological succession","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":[0.001113478,0.0002082749,0.0002274171,0.000450281,0.0003884525,0.0006713002,0.0003874176,0.0002194611,0.0009938986],"category_scores_gemma":[0.002024035,0.00009842651,0.0003852994,0.0003257838,0.0003562365,0.0003987698,0.0003120593,0.0002415589,0.0001085661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005401727,"about_ca_system_score_gemma":0.0003326861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04442278,"about_ca_topic_score_gemma":0.09072256,"domain_scores_codex":[0.9995955,0.0001364683,0.00002547659,0.00009399709,0.0000593214,0.00008929519],"domain_scores_gemma":[0.9982658,0.0006760819,0.0005019377,0.000134224,0.0001479209,0.000274028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002003145,0.00006044831,0.9918768,0.00001241441,0.00009856861,0.00005172988,0.00008200962,0.001547161,0.002007979,0.00003587847,0.00005609242,0.003970478],"study_design_scores_gemma":[0.000001016744,0.00003638821,0.9984144,0.000001666327,0.000007888873,0.00002529348,0.00006945523,0.001297569,0.00007760411,0.00001309852,0.00005358809,0.000001927592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995518,0.00005286889,0.00009288421,0.000007185216,0.000001197159,0.000001916744,0.00009124076,0.000004043878,0.0001968199],"genre_scores_gemma":[0.9997442,0.00001618955,0.0000680162,0.000003117124,0.000001323129,0.000001577938,0.0001176711,0.000001336754,0.00004665115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04442278,"threshold_uncertainty_score":0.08832842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002945514640204718,"score_gpt":0.1916196845123554,"score_spread":0.1886741698721507,"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."}}