{"id":"W2043982876","doi":"10.5539/eer.v4n1p43","title":"The Use of the Leopold Matrix in Carrying Out the EIA for Wind Farms in Serbia","year":2014,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Context (archaeology); Wind power; Environmental impact assessment; Renewable energy; Documentation; Environmental resource management; Environmental planning; Business; Environmental economics; Computer science; Environmental science; Geography; Engineering; Political science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002780844,0.00007541281,0.0001102856,0.00004482578,0.0009801573,0.00008997248,0.0004790992,0.00009462024,0.00002605388],"category_scores_gemma":[0.0004578599,0.00004100919,0.00004835298,0.0002207313,0.0009738549,0.0001091092,0.0001898122,0.0001739895,0.000001125165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427461,"about_ca_system_score_gemma":0.00005556009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02392566,"about_ca_topic_score_gemma":0.1500772,"domain_scores_codex":[0.9977634,0.000837133,0.0001716487,0.0001884121,0.0005732406,0.0004661435],"domain_scores_gemma":[0.9980545,0.001571649,0.00005028428,0.0002640317,0.00001412788,0.0000453835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002160137,0.0001882263,0.2265596,0.00002777947,0.00005379707,0.000002212136,0.03072709,0.04793765,0.002488927,0.363249,0.003344941,0.3252048],"study_design_scores_gemma":[0.0004407658,0.00004607679,0.04923153,0.0000309348,0.000004157489,1.239952e-7,0.01484777,0.000830885,0.001050023,0.02026699,0.9131277,0.0001230133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873047,0.0007377631,0.00008172196,0.008090412,0.0001815154,0.0003085064,0.000002208837,0.00000565245,0.003287514],"genre_scores_gemma":[0.9885986,0.002144348,0.00004859574,0.00005948931,0.0001567265,0.00006505776,6.771744e-7,0.00000949332,0.008917005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9097828,"threshold_uncertainty_score":0.9825741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0865588940485579,"score_gpt":0.3521198672994761,"score_spread":0.2655609732509182,"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."}}