{"id":"W3021468693","doi":"10.1093/jofore/fvaa002","title":"Ontario, Canada’s LTSP Experience: Forging Lasting Research Partnerships and the Adaptive Management Cycle in Action","year":2020,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Ministry of Natural Resources and Forestry","funders":"","keywords":"Sustainability; Logging; Environmental science; Biomass (ecology); Adaptive management; Forest management; Productivity; Agroforestry; Silviculture; Environmental resource management; Forestry; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008400655,0.0003630166,0.0003912948,0.0007231912,0.02984046,0.009857179,0.002309885,0.004733201,0.01417332],"category_scores_gemma":[0.008319515,0.0005498527,0.0004222317,0.002339357,0.01076775,0.004098226,0.007881701,0.00682201,0.0008571244],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1066161,"about_ca_system_score_gemma":0.3980418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898683,"about_ca_topic_score_gemma":0.9983416,"domain_scores_codex":[0.992551,0.001434126,0.0001269227,0.0004103812,0.002415828,0.003061641],"domain_scores_gemma":[0.9747922,0.002784045,0.0006714464,0.0008297423,0.005901726,0.01502078],"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":[0.0003450383,0.0001874403,0.02246457,0.000768728,0.00009695143,0.00295307,0.07281683,0.001301826,0.003155454,0.1011563,0.6885182,0.1062355],"study_design_scores_gemma":[0.00004474529,0.00005187635,0.02637942,0.0002094892,0.00001765768,0.0001459675,0.04988698,0.0002246842,0.0003134045,0.005473887,0.9172003,0.00005148163],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08879096,0.006602205,0.003179156,0.667374,0.002293346,0.0002707805,0.001897102,0.0002988376,0.2292936],"genre_scores_gemma":[0.6855143,0.005473831,0.006776809,0.05486345,0.0003101189,0.0002464618,0.0008957096,0.0002029497,0.2457163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8933839,"threshold_uncertainty_score":0.7735573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08065701772588439,"score_gpt":0.2949117833818413,"score_spread":0.2142547656559569,"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."}}