{"id":"W2161094020","doi":"10.1111/rec.12095","title":"Flexible and Adaptable Restoration: An Example from South Korea","year":2014,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of Ecology","keywords":"Restoration ecology; Biodiversity; Environmental resource management; Environmental restoration; Urbanization; Outreach; Geography; Ecology; Ecosystem services; Environmental planning; Novel ecosystem; Landscape ecology; Ecosystem; Environmental science; Political science; Biology","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":[0.0008084671,0.0003834683,0.0001943929,0.0007484622,0.003531022,0.001613097,0.0008757072,0.0007966047,0.003131534],"category_scores_gemma":[0.0006744691,0.0001457373,0.0003695976,0.001303297,0.001588033,0.001321163,0.002570076,0.001011787,0.0004201569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802296,"about_ca_system_score_gemma":0.001615541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02242617,"about_ca_topic_score_gemma":0.07933397,"domain_scores_codex":[0.9996221,0.0001412134,0.00001919862,0.00003539433,0.00005717726,0.0001248604],"domain_scores_gemma":[0.9994662,0.0000876147,0.00006369378,0.00006660927,0.000132243,0.0001835122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001316912,0.002300097,0.1577731,0.001514861,0.0003495141,0.08909114,0.1317221,0.03692528,0.02428046,0.1292674,0.04808972,0.3773695],"study_design_scores_gemma":[0.0002588582,0.0007862339,0.1395295,0.0005882005,0.0002598634,0.0117951,0.3146074,0.02522555,0.007870396,0.04138007,0.4573191,0.0003797425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321284,0.0004711695,0.004657389,0.005393711,0.00007291839,0.0001177727,0.000155725,0.00008477692,0.05691814],"genre_scores_gemma":[0.9894121,0.0004349031,0.003396924,0.0006640111,0.000005302912,0.00002563584,0.00009223705,0.00005012905,0.0059188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02242617,"threshold_uncertainty_score":0.04459125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580898288503986,"score_gpt":0.2259319523478103,"score_spread":0.1901229694627704,"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."}}