{"id":"W3216265356","doi":"10.32920/ryerson.14667939.v1","title":"Assessment of Environmental Exposure Vulnerability in Toronto Public Housing: A GIS and Environmental Justice Analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Statistics Canada; Dalhousie University","funders":"","keywords":"Environmental justice; Vulnerability (computing); Public health; Geography; Environmental planning; Environmental health; Vulnerability assessment; Population; Environmental resource management; Socioeconomics; Political science; Sociology; Environmental science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003640623,0.0003384687,0.0002375154,0.003689181,0.001238232,0.00167994,0.00033204,0.0002430059,0.002291854],"category_scores_gemma":[0.002230813,0.0001343515,0.000389592,0.006444764,0.0007087502,0.0005068429,0.001869249,0.0002133157,0.0001299225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005949427,"about_ca_system_score_gemma":0.004193545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7491826,"about_ca_topic_score_gemma":0.8419638,"domain_scores_codex":[0.9995412,0.0001109074,0.00002802842,0.00005697972,0.0001610453,0.0001018278],"domain_scores_gemma":[0.9993368,0.000176304,0.0001529979,0.00004264206,0.0002074678,0.00008379717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000798793,0.00003838968,0.9389787,0.0001787682,0.0001422642,0.0005262101,0.01171804,0.007669185,0.0009642209,0.007362494,0.003791758,0.02855004],"study_design_scores_gemma":[0.000003220889,0.00002755279,0.9521105,0.0000577456,0.00005171447,0.0001280288,0.02825285,0.01052504,0.0003602771,0.001513208,0.006946682,0.00002314118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807904,0.0003094308,0.003581391,0.0004836182,0.00000873243,0.00005722786,0.006026245,0.00005733089,0.008685599],"genre_scores_gemma":[0.9947817,0.0001278401,0.002858654,0.00001115766,0.000003017198,0.00002687046,0.001370203,0.000006079072,0.0008145857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508174,"threshold_uncertainty_score":0.5045891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049928167874258,"score_gpt":0.342413915088348,"score_spread":0.3119146334096054,"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."}}