{"id":"W3125597567","doi":"","title":"New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program","year":2009,"lang":"en","type":"preprint","venue":"Minds at UW (University of Wisconsin)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Workforce; Liberian dollar; Propensity score matching; Demographic economics; Business; Investment (military); Quarter (Canadian coin); Matching (statistics); Training (meteorology); Labour economics; Economics; Finance; Economic growth; Medicine; Political science; Geography","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":[0.1143976,0.001151378,0.001814199,0.001782938,0.0006275636,0.001753759,0.002450872,0.001071272,0.006291279],"category_scores_gemma":[0.2055208,0.0006548804,0.003782075,0.001556554,0.001377699,0.001951712,0.00227156,0.001833595,0.0005661306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302313,"about_ca_system_score_gemma":0.001644723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004297204,"about_ca_topic_score_gemma":0.002474497,"domain_scores_codex":[0.8925077,0.09760734,0.00222697,0.002644255,0.00435919,0.0006545454],"domain_scores_gemma":[0.5128538,0.4383902,0.02622449,0.01627195,0.005575449,0.0006841846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02556395,0.01481545,0.458825,0.006279915,0.04838896,0.001679189,0.002831977,0.1456403,0.001920316,0.06128449,0.0211705,0.2115999],"study_design_scores_gemma":[0.0114604,0.04124405,0.5592254,0.001868442,0.03642034,0.0012361,0.004765241,0.2188101,0.01033934,0.06121423,0.05278856,0.0006277513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7991618,0.0039172,0.1510151,0.001815693,0.0004844575,0.008614252,0.0174491,0.000419484,0.01712295],"genre_scores_gemma":[0.9351396,0.0006389823,0.04451225,0.0007967346,0.0001654813,0.00919634,0.004853941,0.0000626114,0.004634071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1143976,"threshold_uncertainty_score":0.6049994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09847258892545449,"score_gpt":0.3365981440760425,"score_spread":0.2381255551505881,"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."}}