{"id":"W2057698388","doi":"10.1068/b1283","title":"Measuring the Public Costs and Benefits of Brownfield versus Greenfield Development in the Greater Toronto Area","year":2002,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brownfield; Redevelopment; Business; Environmental planning; Cost–benefit analysis; Social benefits; Greenfield project; Environmental economics; Environmental resource management; Economics; Engineering; Civil engineering; Environmental science; Political science; Quality (philosophy)","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":[0.002062174,0.0002773384,0.0002077075,0.001380203,0.001358669,0.001343858,0.0004726658,0.0004108989,0.00183941],"category_scores_gemma":[0.00790988,0.0001590894,0.0003860284,0.002032706,0.001196691,0.000962716,0.001044976,0.0003987428,0.00005307903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0303255,"about_ca_system_score_gemma":0.01033697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6263883,"about_ca_topic_score_gemma":0.8574103,"domain_scores_codex":[0.9964944,0.001905406,0.00008593725,0.0001324956,0.0008570196,0.000524918],"domain_scores_gemma":[0.9964719,0.002045025,0.0005247745,0.000146659,0.0005553274,0.0002562757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001266054,0.0006208073,0.6469171,0.000589194,0.0004588354,0.001303189,0.01101256,0.1830465,0.003770157,0.0295708,0.00297005,0.1184746],"study_design_scores_gemma":[0.0001298438,0.001022648,0.8797435,0.0001975389,0.0004064187,0.0002033795,0.04613023,0.05130663,0.004203875,0.005870507,0.01067906,0.0001064144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934655,0.0001343195,0.0004178485,0.0002859343,0.000002424881,0.00005417669,0.0002086771,0.000004555293,0.005426721],"genre_scores_gemma":[0.9989234,0.0001198888,0.0004173329,0.00001373753,0.000001202948,0.00001681027,0.00007187609,0.00000100317,0.0004348001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3736117,"threshold_uncertainty_score":0.751624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711893299315936,"score_gpt":0.2735504286863429,"score_spread":0.1023610987547493,"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."}}