{"id":"W2905415601","doi":"10.14471/2018.38.022","title":"Conservation, management and restoration of semi-natural and natural grasslands in Central Europe – Editorial to the 13th EDGG Special Feature","year":2018,"lang":"en","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Magyar Tudományos Akadémia; Hungarian Scientific Research Fund","keywords":"Natural (archaeology); Conservation; Geography; Grassland; Feature (linguistics); Agroforestry; Ecology; Environmental science; Environmental planning; Biology; Archaeology; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004538051,0.000187194,0.0003181451,0.00004563465,0.0005822623,0.00005047888,0.001343168,0.0002220154,0.00001237659],"category_scores_gemma":[0.00006471396,0.00006647004,0.00009056944,0.001033159,0.001867278,0.001126055,0.0009075826,0.0005048693,4.195194e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006522049,"about_ca_system_score_gemma":0.00002953873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001920459,"about_ca_topic_score_gemma":0.00001197533,"domain_scores_codex":[0.9980018,0.0004036209,0.0005087493,0.0003232097,0.0004824508,0.0002801284],"domain_scores_gemma":[0.9989568,0.000341852,0.00054105,0.0000790202,0.00002084376,0.00006046226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006717014,0.00007439651,0.6264859,0.00009094708,0.00009889872,7.413462e-7,0.001243382,0.00002053122,0.07927024,0.008351725,0.2822622,0.001429328],"study_design_scores_gemma":[0.0001970682,0.0001285465,0.9164383,0.0001555789,0.00003278651,0.00001121347,0.0002357511,0.00007454841,0.03055835,0.001245816,0.05080486,0.0001171904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374455,0.0009130057,8.441287e-8,0.05643222,0.00363511,0.0004595999,0.00004477142,0.00001530168,0.001054443],"genre_scores_gemma":[0.9911363,0.0002179091,0.00012561,0.001018919,0.005805698,0.00000377677,0.000002755401,0.000002455526,0.001686637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2899524,"threshold_uncertainty_score":0.6880062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009903113585012018,"score_gpt":0.2006958395562272,"score_spread":0.1907927259712152,"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."}}