{"id":"W7481873","doi":"","title":"Environmental Justice in Canada - It Matters Where You Live","year":2008,"lang":"en","type":"article","venue":"Sheng li xue bao : [Acta physiologica Sinica]","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Environmental justice; Political science; Sociology; Geography; Law","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":[0.0005647156,0.0001449346,0.0002266299,0.0005629266,0.01108042,0.002586688,0.0004606968,0.0008458501,0.01431702],"category_scores_gemma":[0.001333398,0.00007592728,0.0001655676,0.001677609,0.003901822,0.001009902,0.002766892,0.001384578,0.0006185118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.013142,"about_ca_system_score_gemma":0.05251449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8912964,"about_ca_topic_score_gemma":0.9776976,"domain_scores_codex":[0.9989561,0.0001406104,0.00002119772,0.00008536899,0.0003733493,0.0004233835],"domain_scores_gemma":[0.9992437,0.00004267372,0.00007272002,0.00003751579,0.0002880508,0.0003154112],"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":[0.0001935079,0.000370728,0.2195401,0.0003697968,0.0001157589,0.002712982,0.05122787,0.0004358107,0.00581487,0.1811571,0.1243426,0.4137187],"study_design_scores_gemma":[0.00001805479,0.00007061116,0.170251,0.0002381103,0.00003910344,0.0005556069,0.09790742,0.0002221189,0.001824267,0.01465693,0.7141272,0.0000895857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.400089,0.0109647,0.00206754,0.1586899,0.00165689,0.000104612,0.001591383,0.0001176734,0.4247184],"genre_scores_gemma":[0.9075995,0.006411364,0.001260387,0.01124314,0.0001058891,0.00002260672,0.0002262664,0.00002996266,0.0731008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1087036,"threshold_uncertainty_score":0.2186875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118095228427609,"score_gpt":0.2680680854749888,"score_spread":0.2368871331907128,"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."}}