{"id":"W7066059085","doi":"","title":"ENVIRONMENTAL JUSTICE IN CANADA: THE STATISTICAL CORRELATION BETWEEN SOCIOECONOMIC STATUS AND POLLUTION IN FIVE MAJOR CANADIAN CITIES","year":2008,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Environmental justice; Injustice; Metropolitan area; Socioeconomic status; Population; Pollution","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":[],"consensus_categories":[],"category_scores_codex":[0.0001325783,0.0001366662,0.0001278338,0.0001378137,0.0001796518,0.00002517623,0.0001461783,0.0001151047,0.00001240125],"category_scores_gemma":[0.00003206728,0.0001460226,0.00001700099,0.00005466786,0.0001347966,0.00004218247,0.0001058938,0.0003307165,0.00001159593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008081725,"about_ca_system_score_gemma":0.00071675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2640801,"about_ca_topic_score_gemma":0.9866875,"domain_scores_codex":[0.9990433,0.0001475351,0.0001781575,0.0002022242,0.0001031688,0.0003255521],"domain_scores_gemma":[0.9995591,0.00004192986,0.00007955568,0.0001557296,0.000009039524,0.0001546291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000244209,0.000004558601,0.9988962,0.00001091607,0.00001286601,0.00003834342,0.0003765084,0.0004383214,0.00004119849,0.00001879552,0.000003049912,0.0001348313],"study_design_scores_gemma":[0.000664721,0.00004341699,0.9969807,0.00001091638,0.00002373151,0.0000198747,0.001105576,0.00001845634,0.00005600063,0.00001012373,0.0009067956,0.0001597322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991366,0.00006516781,0.0001141263,0.0001741001,0.00006637746,0.0001542831,0.0002039404,0.000003802886,0.00008163795],"genre_scores_gemma":[0.9989097,0.00009805572,0.00002905456,0.0003029051,0.00003479969,7.011566e-7,0.000202274,0.00001146107,0.0004110641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7226075,"threshold_uncertainty_score":0.7408205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155582049324311,"score_gpt":0.2438127858261866,"score_spread":0.2222569653329435,"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."}}