{"id":"W2997464727","doi":"10.31235/osf.io/57e4a","title":"Off to Market: Neighborhood and Individual Employment Barriers for Women in 21st Century American Cities","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Disadvantaged; Poverty; Demographic economics; Welfare; Work (physics); Devolution (biology); Welfare reform; Logistic regression; Survey data collection; National Longitudinal Surveys; Longitudinal data; Labour economics; Business; Economics; Economic growth; Sociology; Medicine; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006607453,0.0001375926,0.000231892,0.0005335896,0.001540558,0.001125803,0.0004787393,0.0004689204,0.00271088],"category_scores_gemma":[0.002518128,0.0001730804,0.0002541639,0.0008086998,0.000668586,0.0007062104,0.001518079,0.0004992468,0.0001642782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008666207,"about_ca_system_score_gemma":0.001120949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0645992,"about_ca_topic_score_gemma":0.1719115,"domain_scores_codex":[0.9995888,0.0001324989,0.00001819119,0.00004628475,0.00005851694,0.000155657],"domain_scores_gemma":[0.9992523,0.0001663261,0.0002616317,0.00003991814,0.00007980329,0.0002000587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003990531,0.00008663787,0.9847815,0.00001863486,0.00002428173,0.00009485155,0.006888743,0.00009395612,0.00009357803,0.0004685645,0.0004765592,0.006932894],"study_design_scores_gemma":[0.000003570422,0.00004639149,0.9548284,0.00005236645,0.00002687439,0.00006870081,0.04280878,0.0002784169,0.00006750688,0.0002306019,0.001580611,0.000007682522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984868,0.0001355642,0.00002936794,0.0003531656,0.000003590072,0.000002729657,0.00005002849,0.00000114055,0.0009377203],"genre_scores_gemma":[0.9995104,0.00008683596,0.00002422208,0.00004858799,0.000003126705,0.000003821934,0.00003742224,0.000001157053,0.0002845499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0645992,"threshold_uncertainty_score":0.1284464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246191688814576,"score_gpt":0.2916944390160958,"score_spread":0.2692325221279501,"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."}}