{"id":"W2123213801","doi":"10.5558/tfc84666-5","title":"The Canadian Ecology Centre – Forestry Research Partnership: Implementing a research strategy based on an active adaptive management approach","year":2008,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Canadian Wood Council; Ministry of Agriculture, Food and Rural Affairs; Canadian Forest Service; Ontario Forest Research Institute","funders":"U.S. Forest Service; University of Toronto; U.S. Department of Agriculture","keywords":"General partnership; Adaptive management; Forest management; Environmental resource management; Business; Sustainable forest management; Productivity; Process (computing); Forestry; Position (finance); Ecoforestry; Ecology; Forest ecology; Geography; Computer science; Forest restoration; Environmental science; Economics; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003866988,0.0002478407,0.0001511733,0.0001805083,0.006039732,0.0001937698,0.001626966,0.0001331968,0.001295707],"category_scores_gemma":[0.00005588381,0.0001633795,0.00008222226,0.001028222,0.002055073,0.0002604061,0.0006438803,0.001069727,0.001329499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790877,"about_ca_system_score_gemma":0.0003612829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08450402,"about_ca_topic_score_gemma":0.4199992,"domain_scores_codex":[0.9942019,0.001152933,0.0002718359,0.0006471038,0.001307865,0.002418391],"domain_scores_gemma":[0.9978567,0.0004454607,0.00007855421,0.001160393,0.00005074492,0.0004081796],"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":[0.001534869,0.00132201,0.09605879,0.00009108595,0.0003440757,0.0005740868,0.008755891,0.1619206,0.00004828851,0.2140123,0.4798431,0.035495],"study_design_scores_gemma":[0.002753182,0.002068314,0.4300742,0.00004504726,0.00004945254,0.00002648614,0.01181293,0.3229486,0.0004066615,0.0150324,0.2139062,0.0008765736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6023409,0.00002222436,0.000004114269,0.001779356,0.00004470981,0.001334383,0.00001401792,0.0000427788,0.3944175],"genre_scores_gemma":[0.9873123,0.00002615362,0.0001048063,0.0002256347,0.0001840211,0.0002350258,0.00004115988,0.00004065994,0.01183022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3849714,"threshold_uncertainty_score":0.9996172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142651778599055,"score_gpt":0.355492784025388,"score_spread":0.2412276061654825,"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."}}