{"id":"W2032312588","doi":"10.1016/j.enbuild.2015.03.015","title":"Culture design-led regeneration as a tool used to regenerate deprived areas. Belgrade—The Savamala quarter; reflections on an unplanned cultural zone","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Redevelopment; Gentrification; Cultural heritage; Sustainability; Placemaking; Regeneration (biology); Population; Quarter (Canadian coin); Visitor pattern; Sociology; Cultural sustainability; Economic growth; Engineering; Political science; Urban planning; Civil engineering; Urban design; Economics; Geography; Law; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004979193,0.0002014584,0.0001721845,0.00005500261,0.001374489,0.0004238719,0.0002079003,0.0002006638,0.00004445506],"category_scores_gemma":[0.0001636776,0.0001311494,0.00004340437,0.0004820988,0.0001146406,0.0003465946,0.00003655298,0.0001483957,0.00001264504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800282,"about_ca_system_score_gemma":0.0001547168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003882804,"about_ca_topic_score_gemma":0.01174521,"domain_scores_codex":[0.9983927,0.0003030154,0.0002148304,0.000377389,0.000369611,0.0003424532],"domain_scores_gemma":[0.9991729,0.00004061042,0.00008816198,0.0001656856,0.0002175771,0.0003150253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005540042,0.0001632335,0.0003420072,0.000002660793,0.0001139576,0.00002318289,0.1239135,0.002908598,0.03898295,0.1088806,0.707323,0.01679228],"study_design_scores_gemma":[0.0005992462,0.0005458957,0.0002455142,0.00003722775,0.00002951237,0.00001549998,0.01793251,0.00009094727,0.02414006,0.001192241,0.9547791,0.000392189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652689,0.0002278582,0.002591461,0.02836324,0.0005169234,0.000343844,0.000005036217,0.0001638675,0.002518915],"genre_scores_gemma":[0.9449755,0.0001304044,0.002215379,0.001794648,0.00080343,0.00009394388,0.00005136121,0.00001433554,0.04992103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2474561,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09000368498457575,"score_gpt":0.3318569301806915,"score_spread":0.2418532451961157,"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."}}