{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002375934,0.0002490504,0.0003795748,0.00004076305,0.0009038089,0.00002444327,0.00048502,0.0001634165,0.002518168],"category_scores_gemma":[0.0001037316,0.0002395014,0.00008244452,0.0001295388,0.0006545521,0.0002951947,0.000149365,0.0004370495,0.0002467856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167809,"about_ca_system_score_gemma":0.0007195207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6331286,"about_ca_topic_score_gemma":0.7511801,"domain_scores_codex":[0.9974104,0.0003294217,0.0004440487,0.0005028985,0.0004841696,0.0008291049],"domain_scores_gemma":[0.9987016,0.0005389256,0.0001624201,0.0003052056,0.000007609428,0.0002842542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006510834,0.002575433,0.2939014,0.001354537,0.0001876889,0.001032835,0.07549345,0.00147662,0.01125389,0.002425666,0.6059254,0.00372208],"study_design_scores_gemma":[0.0006066416,0.0001608144,0.7185901,0.0001629842,0.0000757528,0.000005936527,0.1293962,0.00004916086,0.00003180714,0.0001637414,0.1501199,0.000636954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790225,0.001031056,0.000001088466,0.01096904,0.0005624409,0.0003722662,0.00008118612,0.00004456346,0.007915867],"genre_scores_gemma":[0.9741299,0.01345128,0.0001302229,0.01089502,0.000363939,0.00004376893,0.00002848204,0.00001991338,0.0009374787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4558055,"threshold_uncertainty_score":0.9983937,"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."}}