{"id":"W4234160426","doi":"10.5558/tfc2015-022","title":"Canadian Forestry Accreditation Board Annual Report – 2014 / Bureau Canadien d'agrément en foresterie Rapport Annuel – 2014: New CFS Report on Climate Change / Nouveau rapport SCF sur les changements climatiques: New Forestry Standards to Better Safeguard Wetlands: Des chercheurs découvrent comment prédire 20 ans à l'avance quels seront les meilleurs arbres destinés au reboisement: Australia Releases New Guide to Predicting Bushfire Rate of Spread: The burning issue of the world's vulnerable carbon sinks: Highly Regarded Ukrainian Forester Passes Away","year":2015,"lang":"fr","type":"article","venue":"The Forestry Chronicle","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Environmental science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.008154771,0.0007711543,0.0009545484,0.005051361,0.007180127,0.005581928,0.002796373,0.003031528,0.03243261],"category_scores_gemma":[0.0140182,0.001239935,0.0008364083,0.007786211,0.001708001,0.002079047,0.001744683,0.00503917,0.01083639],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03567695,"about_ca_system_score_gemma":0.230852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792532,"about_ca_topic_score_gemma":0.991389,"domain_scores_codex":[0.9841344,0.0003718521,0.000661233,0.0005643656,0.01254464,0.001723467],"domain_scores_gemma":[0.9323635,0.001424571,0.001291851,0.001147045,0.05945072,0.004322273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004631899,0.00009592604,0.007587894,0.0001711801,0.00001996598,0.00004484884,0.0002657912,0.0002284218,0.0004787715,0.002428978,0.9567919,0.03184005],"study_design_scores_gemma":[0.00001238481,0.00001129497,0.0498579,0.000163278,0.00001359617,0.00001750155,0.0003087278,0.0001129391,0.0003321793,0.000216224,0.9489072,0.00004689288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02372936,0.01428648,0.00637654,0.09541141,0.01995794,0.003305251,0.1883031,0.002533922,0.646096],"genre_scores_gemma":[0.04247333,0.009666096,0.01383397,0.01355667,0.0008208729,0.0008595872,0.06721615,0.0009984464,0.8505749],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.964323,"threshold_uncertainty_score":0.2588555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06742087975551454,"score_gpt":0.2991236492652671,"score_spread":0.2317027695097526,"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."}}