{"id":"W2114001914","doi":"10.22230/jem.2004v4n1a254","title":"Adaptation to climate change in forest management","year":2004,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":430,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Government of British Columbia","funders":"","keywords":"Climate change; Forest management; Environmental resource management; Disturbance (geology); Adaptation (eye); Ecoforestry; Forest ecology; Adaptive management; Psychological resilience; Sustainable forest management; Ecosystem; Business; Forest restoration; Agroforestry; Ecology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002168977,0.0002988224,0.0002819827,0.0005999148,0.001361401,0.003652369,0.0005504697,0.002042002,0.003299887],"category_scores_gemma":[0.002708735,0.0001177127,0.0001556947,0.001599733,0.003453881,0.002307208,0.001285444,0.001710954,0.000566071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476353,"about_ca_system_score_gemma":0.002832878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004283343,"about_ca_topic_score_gemma":0.007490873,"domain_scores_codex":[0.9985086,0.0007332644,0.00005823459,0.000125098,0.0003686464,0.0002061739],"domain_scores_gemma":[0.9990491,0.0004095901,0.0001366196,0.00004668011,0.0001938989,0.0001640544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003884624,0.0001151377,0.004639348,0.00134541,0.00005658448,0.0004750359,0.004381389,0.004587428,0.001009368,0.36004,0.08185319,0.5414583],"study_design_scores_gemma":[0.0000057452,0.00008505967,0.01342709,0.001550398,0.00002253171,0.0004289444,0.003980258,0.0006911923,0.0002749556,0.2188953,0.760587,0.0000516197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02163893,0.4932875,0.01136247,0.165835,0.007208456,0.0001528835,0.0001430967,0.000109948,0.3002617],"genre_scores_gemma":[0.4416822,0.4894947,0.006811025,0.02536789,0.006115514,0.0001247299,0.0001100357,0.00002716674,0.03026673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004283343,"threshold_uncertainty_score":0.01796728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187881372627222,"score_gpt":0.2414652015790328,"score_spread":0.2226770643163106,"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."}}