{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001466875,0.0004942293,0.0007385644,0.003920625,0.005163546,0.002565744,0.002338872,0.0006500797,0.003910935],"category_scores_gemma":[0.005143436,0.0003730157,0.001206185,0.01102736,0.001587638,0.000719606,0.002600786,0.001098543,0.0004645275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04394517,"about_ca_system_score_gemma":0.06366614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981591,"about_ca_topic_score_gemma":0.9989575,"domain_scores_codex":[0.9978878,0.000158576,0.0001281049,0.0003298918,0.0008762827,0.0006194093],"domain_scores_gemma":[0.9927431,0.0005289067,0.000888725,0.0002732217,0.004070255,0.001495778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005819305,0.00002097191,0.9895,0.00003700355,0.0000873004,0.00004983196,0.001248301,0.0002204987,0.00006294768,0.0005524819,0.003352084,0.004810281],"study_design_scores_gemma":[0.000004540281,0.00001067754,0.9942782,0.00004014182,0.00002911987,0.00001995022,0.002807482,0.0005394162,0.00003266172,0.00007433069,0.002146039,0.00001736359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727625,0.001389335,0.0002989985,0.001163015,0.00005443552,0.00006287025,0.01389626,0.00005186868,0.01032062],"genre_scores_gemma":[0.9929345,0.0004947628,0.0002889054,0.00009508825,0.000007881097,0.00002572166,0.004198068,0.00001643527,0.001938596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04394517,"threshold_uncertainty_score":0.318846,"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."}}