{"id":"W2893329792","doi":"10.3390/urbansci2040100","title":"Socio-Economic Indicators for the Ex-Post Evaluation of Brownfield Rehabilitation: A Case Study","year":2018,"lang":"en","type":"article","venue":"Urban Science","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Brownfield; Borough; Renting; Business; Revenue; Reuse; Environmental planning; Redevelopment; Operations management; Geography; Economics; Finance; Engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00716785,0.0003890115,0.0003116065,0.002956269,0.003075507,0.001620033,0.0008438991,0.0006725476,0.001929577],"category_scores_gemma":[0.007778394,0.000163554,0.0004367412,0.003449594,0.001683106,0.0008854825,0.001553112,0.0007046007,0.0001241928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01831646,"about_ca_system_score_gemma":0.01127682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3353968,"about_ca_topic_score_gemma":0.5495104,"domain_scores_codex":[0.9960476,0.002224667,0.0001548127,0.0001458447,0.0007491216,0.0006780043],"domain_scores_gemma":[0.9952932,0.001623757,0.000565831,0.0001664067,0.001770552,0.0005801605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005711949,0.004391158,0.7414514,0.0004846567,0.00009469785,0.008622277,0.08601429,0.003550037,0.002207877,0.006949021,0.003858144,0.1418053],"study_design_scores_gemma":[0.00005559366,0.001626188,0.6598418,0.0004996558,0.0001367406,0.0009707317,0.2993218,0.01231492,0.004271743,0.001550306,0.01929419,0.0001164117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931945,0.000160704,0.001030986,0.0004683049,0.000006469211,0.0003474048,0.0002011166,0.000006702619,0.004583932],"genre_scores_gemma":[0.9960608,0.0001650686,0.002567556,0.00003667837,0.000003735596,0.0001268782,0.00009953389,0.000004275157,0.0009354514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3353968,"threshold_uncertainty_score":0.6668891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05708736600075857,"score_gpt":0.4066497584270033,"score_spread":0.3495623924262447,"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."}}