{"id":"W3036101766","doi":"10.1139/cjfr-2020-0166","title":"Pan-European sustainable forest management indicators for assessing Climate-Smart Forestry in Europe","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020","keywords":"Sustainable forest management; Forest management; Sustainability; Forestry; Environmental resource management; Climate change; Ecoforestry; Business; Sustainable management; Forest ecology; Environmental science; Geography; Forest restoration; Ecology; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009152672,0.0009692259,0.0007081942,0.01625989,0.0004756155,0.002440508,0.0007967508,0.0005384411,0.00168394],"category_scores_gemma":[0.008978349,0.0001803932,0.001040479,0.01944024,0.000364872,0.001831588,0.002048404,0.0004755999,0.0002962227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667495,"about_ca_system_score_gemma":0.004376688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02964347,"about_ca_topic_score_gemma":0.0297451,"domain_scores_codex":[0.9952208,0.001175757,0.001015407,0.0003680161,0.001927197,0.0002927164],"domain_scores_gemma":[0.9924244,0.001042335,0.001986701,0.0003051755,0.003895579,0.0003457615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003636265,0.0003384699,0.4839078,0.005915712,0.001306365,0.0004981728,0.002226327,0.03695041,0.003706018,0.06465729,0.02993649,0.3701932],"study_design_scores_gemma":[0.00003690029,0.0002004173,0.7888393,0.002509505,0.0005058058,0.0003928006,0.002730033,0.01757868,0.00420649,0.01220964,0.1706721,0.0001183086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.50932,0.03483443,0.1298735,0.002087087,0.0005310923,0.001893771,0.1193052,0.001005665,0.2011492],"genre_scores_gemma":[0.7878081,0.007326641,0.1476448,0.0002762465,0.00005884556,0.001164573,0.05262943,0.00010847,0.002982866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02964347,"threshold_uncertainty_score":0.05894184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791296954779965,"score_gpt":0.308043860362251,"score_spread":0.2701308908144513,"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."}}