{"id":"W2091766599","doi":"10.1007/s11027-008-9148-3","title":"Climate change adaptation and regional forest planning in southern Yukon, Canada","year":2008,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yukon University; Yukon Health and Social Services; University of British Columbia; Yukon Department of Environment; Yukon Department of Tourism and Culture","funders":"","keywords":"Climate change; Environmental resource management; Forest management; Typology; Sustainable forest management; Adaptation (eye); Environmental planning; Business; Geography; Forestry; Ecology; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008722865,0.0001214252,0.00009536478,0.00003226312,0.0001881,0.00004210836,0.00004717685,0.00004438862,0.00003439233],"category_scores_gemma":[0.00000714877,0.0001239187,0.00001567439,0.0001580416,0.0001004012,0.0005417205,0.00003021787,0.00003657039,0.000008166337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000950722,"about_ca_system_score_gemma":0.00002469455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.201394,"about_ca_topic_score_gemma":0.5890485,"domain_scores_codex":[0.999199,0.00002048233,0.0001759082,0.0002051099,0.0001775352,0.0002219213],"domain_scores_gemma":[0.9997495,0.00002189432,0.00009230408,0.00005375638,0.00001240844,0.00007013489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002836339,0.00007422422,0.755331,0.0002196587,0.00002434337,0.00004282783,0.06925491,0.006818941,0.00002780399,0.1033366,0.005935023,0.0586511],"study_design_scores_gemma":[0.001252897,0.00011577,0.7956507,0.00007331651,0.00001484773,0.00001836626,0.02004551,0.1661021,0.000001075739,0.005480922,0.0108905,0.0003540159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945942,0.0002007125,0.0003706341,0.0009260845,0.00006758509,0.0005316274,0.00008235674,0.00002818889,0.003198565],"genre_scores_gemma":[0.9980479,0.0001086469,0.0005369146,0.0007825274,0.00009343462,0.0001561462,0.0001560117,0.000007307233,0.0001110346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3876545,"threshold_uncertainty_score":0.803924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09028226390406091,"score_gpt":0.2653167219026806,"score_spread":0.1750344579986197,"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."}}