{"id":"W7009716607","doi":"","title":"Ex-ante evaluation of the green deal implementation measures in Lithuania.","year":2022,"lang":"en","type":"dissertation","venue":"KTUePubl (Repository of Kaunas University of Technology)","topic":"Socio-economic Development and Sustainability","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Green economy; European union; Green paper; Green computing; Green building; Evaluation methods; Object (grammar); Sustainable development","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03738979,0.0006830449,0.0005225706,0.002704676,0.001267276,0.004024637,0.001108693,0.001021231,0.004750774],"category_scores_gemma":[0.03474819,0.0002809247,0.001142866,0.002148804,0.001767227,0.003275985,0.003152897,0.001402901,0.0004517318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0109604,"about_ca_system_score_gemma":0.01119887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003874285,"about_ca_topic_score_gemma":0.004444817,"domain_scores_codex":[0.9617491,0.02485708,0.002279071,0.001518186,0.007702369,0.001894101],"domain_scores_gemma":[0.9647697,0.01355354,0.006430337,0.002214507,0.01198666,0.001045325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005094999,0.006803648,0.1557315,0.005821258,0.001076256,0.0007249911,0.01434363,0.03533367,0.008229725,0.1710469,0.01458491,0.5812084],"study_design_scores_gemma":[0.001254298,0.02241564,0.6816381,0.004124415,0.001652376,0.0003247769,0.03249609,0.04086207,0.07035612,0.04023299,0.1041942,0.0004490088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8751618,0.001984174,0.02411328,0.003061756,0.0003499083,0.003553465,0.002117349,0.0001976455,0.08946063],"genre_scores_gemma":[0.9836097,0.0003531479,0.01020181,0.0002661669,0.00002941823,0.001439476,0.0005719498,0.00002493233,0.003503328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03738979,"threshold_uncertainty_score":0.1977385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885454214519674,"score_gpt":0.2323852516009253,"score_spread":0.2135307094557285,"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."}}