{"id":"W6999364014","doi":"","title":"Climate change impacts and forest management adaptation measures in Sweden and British Columbia, Canada: 
\\n
\\n : a case study of Swedish forest managers
\\n 
\\n","year":2012,"lang":"en","type":"other","venue":"Epsilon Archive for Student Projects (University of Southampton)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Environment","keywords":"Climate change; Forest management; Sustainable forest management; Taiga; Forest ecology; Forest restoration; Intact forest landscape; Global warming; Effects of global warming","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001072116,0.0009162183,0.001833147,0.001561142,0.0005689555,0.0002287002,0.0009014265,0.0002938981,0.0001346465],"category_scores_gemma":[0.00005565026,0.001437332,0.0002442203,0.0007714699,0.0005957269,0.0005707493,0.001539033,0.0005319567,0.000009434538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546019,"about_ca_system_score_gemma":0.0002376812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803682,"about_ca_topic_score_gemma":0.9998729,"domain_scores_codex":[0.9941219,0.0004200553,0.0008202292,0.001617211,0.0015398,0.001480776],"domain_scores_gemma":[0.9963878,0.0002147728,0.001740445,0.0008684343,0.0002148577,0.0005736684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008371836,0.002519622,0.8882932,0.004068262,0.00233427,0.005222981,0.06798521,0.00007081431,0.00000356469,0.00003938982,0.01831678,0.0103087],"study_design_scores_gemma":[0.01123291,0.001322007,0.739206,0.002367108,0.001755306,0.0003003767,0.2386056,0.0003767341,2.721177e-7,0.00008253457,0.003423339,0.001327858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603058,0.001110437,0.0001302434,0.00002846392,0.0003270264,0.0140383,0.005864744,0.0001755721,0.01801949],"genre_scores_gemma":[0.980044,0.00106603,0.0008457789,0.00002514173,0.0001111849,0.0001547529,0.0005151768,0.0006464581,0.01659146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1706204,"threshold_uncertainty_score":0.9988076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387890059798431,"score_gpt":0.2473306170967059,"score_spread":0.2134517164987216,"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."}}