{"id":"W3006264028","doi":"","title":"Exploring Indicators for Air Pollution and Environmental Injustice in Canada","year":2018,"lang":"en","type":"article","venue":"AGUFM","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental justice; Injustice; Air pollution; Environmental planning; Environmental science; Environmental protection; Geography; Environmental resource management; Political science","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":[0.002059176,0.0004593243,0.0006612571,0.00402666,0.00637098,0.003365478,0.002608239,0.0009260257,0.002749244],"category_scores_gemma":[0.008962072,0.0004174497,0.001208569,0.01066096,0.001422408,0.001169052,0.00329215,0.002333975,0.0001975876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09039318,"about_ca_system_score_gemma":0.1623893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992369,"about_ca_topic_score_gemma":0.9996256,"domain_scores_codex":[0.9971042,0.0002978007,0.0001656344,0.0002573998,0.0009019023,0.001273023],"domain_scores_gemma":[0.9903431,0.0006076302,0.001272816,0.0001963815,0.005370014,0.002210181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005278064,0.00007788654,0.9856823,0.00003993088,0.00007718865,0.00003320064,0.001959288,0.000382762,0.00004484774,0.001413084,0.003427817,0.006808959],"study_design_scores_gemma":[0.000009919486,0.00002710204,0.986172,0.00009722734,0.00007170688,0.00002052228,0.008184958,0.001182165,0.0001193248,0.0002694824,0.003814721,0.00003094037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796267,0.001038998,0.0005316787,0.002736005,0.00004830528,0.0001099864,0.008176886,0.00003181386,0.007699549],"genre_scores_gemma":[0.9948969,0.0004351207,0.0005226897,0.000204685,0.000007951135,0.0000509651,0.001820293,0.00001112241,0.002050305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09039318,"threshold_uncertainty_score":0.6558515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455566195193591,"score_gpt":0.2742892367020288,"score_spread":0.2297335747500929,"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."}}