{"id":"W4322721325","doi":"10.1016/j.wss.2023.100138","title":"Socio-spatial dimensions of school closures and neighbourhood change in Ontario: An environmental injustice?","year":2023,"lang":"en","type":"article","venue":"Wellbeing Space and Society","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Geography; Census; Poverty; Population; Economic growth; Socioeconomics; Political science; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004702881,0.0001235434,0.0002145486,0.00004631548,0.0006611657,0.00004310607,0.00007283255,0.0001369946,0.0001198279],"category_scores_gemma":[0.00005039669,0.0001106954,0.0000658518,0.0001560716,0.0003917182,0.0002581274,0.00009622632,0.0001911314,0.000006880216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008334,"about_ca_system_score_gemma":0.00008321688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1981447,"about_ca_topic_score_gemma":0.2394408,"domain_scores_codex":[0.9989006,0.0001042306,0.0001672755,0.0002562741,0.0002721348,0.0002994656],"domain_scores_gemma":[0.9995025,0.0001714145,0.00007620193,0.00009929592,0.00001583152,0.0001347636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006814819,0.0000461223,0.7519341,0.00001210686,0.00003140799,0.000002029677,0.2440024,0.000002667811,0.0004210251,0.002060507,0.00050153,0.0009792243],"study_design_scores_gemma":[0.0004282365,0.00006414518,0.9108426,0.00002640126,0.00003392988,2.599006e-7,0.08509819,0.0003040052,0.00002565094,0.0006948475,0.002330626,0.0001510885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966108,0.0003713196,0.00001303171,0.001287959,0.0001259312,0.000215442,0.0000117671,0.00004752571,0.001316189],"genre_scores_gemma":[0.9952264,0.003266035,0.0001430683,0.000226634,0.0001439721,0.00001822377,0.00001047743,0.00001059323,0.0009545934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1589085,"threshold_uncertainty_score":0.8071949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373374434041155,"score_gpt":0.2868715093587548,"score_spread":0.2531377650183433,"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."}}