{"id":"W2133953680","doi":"10.5558/tfc81097-1","title":"A structured decision-making approach to climate change adaptation in the forest sector","year":2005,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Climate change; Vulnerability (computing); Environmental resource management; Forest management; Vitality; Adaptation (eye); Climate change adaptation; Business; Key (lock); Geography; Environmental planning; Environmental science; Forestry; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01192027,0.001219604,0.0008346523,0.001774872,0.003625319,0.007343549,0.00266818,0.003418876,0.009387963],"category_scores_gemma":[0.008915086,0.0005757427,0.001560727,0.002134315,0.009808812,0.003824465,0.004449924,0.004376665,0.0006187582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009566992,"about_ca_system_score_gemma":0.02014482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275396,"about_ca_topic_score_gemma":0.03276313,"domain_scores_codex":[0.9887691,0.008778393,0.0002869063,0.0004523718,0.001110514,0.0006028217],"domain_scores_gemma":[0.9947226,0.003636859,0.0003536695,0.0002363539,0.0004691453,0.0005813272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000345202,0.00009597636,0.0005418831,0.0001657279,0.00006783613,0.0002410262,0.0016672,0.168253,0.0002585398,0.8017941,0.002824438,0.02405577],"study_design_scores_gemma":[0.0000483283,0.000107956,0.000228741,0.0002232077,0.00002623238,0.00005813721,0.001422634,0.07301144,0.0001586991,0.902834,0.02185394,0.00002674673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01200361,0.001844615,0.8452748,0.02096472,0.0003962507,0.001364779,0.0002318268,0.0001389384,0.1177803],"genre_scores_gemma":[0.4659053,0.005299226,0.5147868,0.00142318,0.0004296378,0.002427574,0.000282978,0.00004530848,0.009399953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01275396,"threshold_uncertainty_score":0.06941372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792950871749556,"score_gpt":0.2653564451231133,"score_spread":0.2374269364056178,"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."}}