{"id":"W2058689885","doi":"10.5558/tfc80458-4","title":"Is regulated even-aged management the right strategy for the Canadian boreal forest?","year":2004,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Taiga; Disturbance (geology); Fire regime; Forest management; Boreal; Natural (archaeology); Environmental science; Fire ecology; Forest ecology; Geography; Environmental resource management; Ecology; Ecosystem management; Ecosystem; Fire protection; Climate change; Agroforestry; Forestry; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007545046,0.0002112701,0.000127836,0.00001833247,0.001357687,0.0001373778,0.001152976,0.00008934089,0.0003574363],"category_scores_gemma":[0.00001388778,0.0001008398,0.0001192851,0.0002886814,0.000390306,0.0001435404,0.0001465204,0.0002277143,0.0004207811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111791,"about_ca_system_score_gemma":0.0001084948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2883292,"about_ca_topic_score_gemma":0.8205412,"domain_scores_codex":[0.9983033,0.00007558854,0.0002283789,0.0003157195,0.0003707283,0.0007063204],"domain_scores_gemma":[0.9986063,0.0001452633,0.00009706638,0.001005293,0.000008587577,0.0001374874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004310564,0.0004697792,0.04100135,0.0003000067,0.00128899,0.0002199669,0.007085381,0.3691653,0.0009633393,0.08467869,0.4253485,0.06904772],"study_design_scores_gemma":[0.001802681,0.0002414252,0.8688882,0.00005179236,0.0001246695,0.00004705834,0.0002235012,0.03185732,0.001447329,0.02070556,0.07425065,0.0003598397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431702,0.000411748,0.0003587966,0.01636338,0.00048449,0.003957936,0.00006525939,0.0001106343,0.03507753],"genre_scores_gemma":[0.9972587,0.00001393941,0.00005014554,0.0009508577,0.000128096,0.0002520126,0.00001421031,0.00003475845,0.001297251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8278868,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009008917168755888,"score_gpt":0.2198629232556676,"score_spread":0.2108540060869117,"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."}}