{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001464357,0.00004663695,0.00006071234,0.00003892979,0.0003162876,0.000006574,0.00005398251,0.00002396809,0.00004170597],"category_scores_gemma":[0.00003007039,0.00005187932,0.000007327335,0.00005702633,0.0001827523,0.0001946247,0.00002225871,0.00004487849,0.000005070778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005169461,"about_ca_system_score_gemma":0.0001825466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8349069,"about_ca_topic_score_gemma":0.9771339,"domain_scores_codex":[0.9994026,0.00002719037,0.00009512401,0.0001115039,0.0001292115,0.0002343054],"domain_scores_gemma":[0.9997792,0.00005820864,0.00002887353,0.00004434665,0.000001294223,0.00008810292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001807448,0.000194387,0.7398917,0.0005667802,0.00003207445,0.00001614001,0.1218822,0.0001467881,0.0006379344,0.03108315,0.00305382,0.1023142],"study_design_scores_gemma":[0.0003696824,0.00007660798,0.7480194,0.00005749211,0.00002223745,4.662892e-7,0.1849718,0.00008863914,0.0004324756,0.0001575627,0.06562354,0.0001800854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971513,0.0002239313,0.00001373068,0.0009843096,0.0002184977,0.0001587986,0.00001998537,0.000006544122,0.001222916],"genre_scores_gemma":[0.997133,0.001150109,0.00009875773,0.001292007,0.0001976823,0.00004016792,0.000004510295,0.00000481969,0.00007891851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.142227,"threshold_uncertainty_score":0.243266,"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."}}