{"id":"W2996686780","doi":"10.1139/cjfr-2019-0181","title":"Factors affecting post-fire regeneration after coppicing of cork oak (<i>Quercus suber</i>) trees in northeastern Algeria","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Quercus suber; Cork; Coppicing; Mediterranean climate; Basal area; Grazing; Bark (sound); Environmental science; Forestry; Quercus petraea; Prescribed burn; Biology; Agroforestry; Ecology; Woody plant; Geography; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006355395,0.0002172638,0.0002386957,0.0003826115,0.00029461,0.0004141653,0.0002670766,0.0002539602,0.0003539145],"category_scores_gemma":[0.0007452574,0.00009486685,0.0002137832,0.0002280165,0.0002593535,0.0001458396,0.0001834381,0.0001887764,0.00009012247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889763,"about_ca_system_score_gemma":0.0003759554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04830469,"about_ca_topic_score_gemma":0.1423112,"domain_scores_codex":[0.9997937,0.0000465153,0.00001826558,0.0000417827,0.00002974013,0.0000699397],"domain_scores_gemma":[0.9992829,0.0001238217,0.0003597171,0.00003555985,0.00006929015,0.0001286178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001224317,0.00006092381,0.9948307,0.000006672154,0.00003458793,0.00006158303,0.0001482214,0.0001821392,0.001999164,0.000007835947,0.00002714369,0.002518661],"study_design_scores_gemma":[4.682944e-7,0.00001784694,0.9997392,9.212083e-7,0.000002621804,0.00001710158,0.0000646203,0.00009302725,0.00004611534,0.000002258714,0.00001505059,7.27803e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998832,0.0000361588,0.00001354486,0.0000041434,6.317035e-7,8.195818e-7,0.00002516028,7.367726e-7,0.00003568713],"genre_scores_gemma":[0.9997479,0.0000252348,0.0000433371,0.000005100262,0.000001407244,0.000001192117,0.00008600851,6.434838e-7,0.00008919016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04830469,"threshold_uncertainty_score":0.09604704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884016466923994,"score_gpt":0.2565981373710816,"score_spread":0.2377579727018417,"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."}}