{"id":"W3147795720","doi":"10.1505/146554821832140402","title":"Adapting forest management to climate change: experiences of the Nisga'a people","year":2021,"lang":"en","type":"article","venue":"The International Forestry Review","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Forest management; Government (linguistics); Environmental resource management; Indigenous; Psychological resilience; Forest ecology; Business; Natural resource economics; Geography; Ecosystem; Ecology; Environmental science; Forestry; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006529636,0.00008195858,0.0001963143,0.0000134347,0.001096567,0.000004758017,0.0005151684,0.00002888878,0.0007696905],"category_scores_gemma":[0.0001564513,0.00004390199,0.00009242306,0.0001737696,0.00002895519,0.00003372053,0.00104371,0.0001508446,0.0001457561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007771737,"about_ca_system_score_gemma":0.00005824115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001913868,"about_ca_topic_score_gemma":0.006482615,"domain_scores_codex":[0.9987575,0.0001354085,0.0003833178,0.0001377629,0.0002326636,0.0003533945],"domain_scores_gemma":[0.999133,0.0001477777,0.000202195,0.0002844002,0.0002062941,0.00002634873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007652547,0.0002242575,0.2779448,0.01078668,0.0005145718,0.00003819017,0.3113938,0.00008188945,0.00001468912,0.3204657,0.06201752,0.01644136],"study_design_scores_gemma":[0.0004120222,0.00007840091,0.1433154,0.01227753,0.0001624019,0.0000313672,0.2496727,0.0001691739,0.00002380926,0.001362831,0.5922225,0.0002718796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.816457,0.02635894,0.00004158772,0.06765362,0.005989062,0.00353993,0.00004004003,0.00003660311,0.07988326],"genre_scores_gemma":[0.9285339,0.04782689,0.0001794218,0.01832027,0.0005037974,0.002122612,0.00001251254,0.00001524056,0.002485357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.530205,"threshold_uncertainty_score":0.843402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09027553561482092,"score_gpt":0.4185222546262016,"score_spread":0.3282467190113806,"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."}}