{"id":"W2033063496","doi":"10.1017/s1466046604000146","title":"Statistical Environmental Justice Assessment for a Transportation Corridor","year":2004,"lang":"en","type":"article","venue":"Environmental Practice","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Environmental justice; Geography; Transport engineering; Mile; Transportation planning; Economic Justice; Quarter (Canadian coin); Variance (accounting); Environmental impact statement; Environmental impact assessment; Environmental resource management; Business; Engineering; Population; Environmental science; Political science; Demography; Sociology","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":[0.03262887,0.0004799343,0.0007740769,0.005825492,0.00231679,0.00297534,0.001636996,0.001168578,0.01451124],"category_scores_gemma":[0.09549913,0.0003906031,0.001612397,0.008666362,0.001159632,0.001772572,0.002342647,0.001711762,0.001864861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004225163,"about_ca_system_score_gemma":0.0168762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04294194,"about_ca_topic_score_gemma":0.06916468,"domain_scores_codex":[0.9532775,0.01826684,0.004468454,0.002304453,0.01972758,0.001955203],"domain_scores_gemma":[0.8957478,0.04104825,0.01111979,0.01092558,0.0397025,0.001456003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006939677,0.0007352323,0.2549955,0.0007072089,0.0004759333,0.0002999604,0.001891474,0.02954585,0.001842957,0.1871925,0.1993998,0.3222198],"study_design_scores_gemma":[0.000281543,0.003086661,0.3589173,0.001061902,0.0004366575,0.0003784365,0.005406118,0.1053479,0.005966607,0.07714911,0.4416116,0.0003561037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1874135,0.0007841461,0.384632,0.005234263,0.000939326,0.01214014,0.06642931,0.002722785,0.3397045],"genre_scores_gemma":[0.646753,0.0005589735,0.2719558,0.001401813,0.0003387725,0.01026091,0.02422548,0.0004898925,0.0440153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04294194,"threshold_uncertainty_score":0.1725601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020904719819282,"score_gpt":0.3590356748898405,"score_spread":0.3388266276916477,"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."}}