{"id":"W7095713483","doi":"","title":"Do Temporary-Help Jobs Improve Labor Market Outcomes for Low-Skilled Workers? Evidence from 'Work First'","year":2008,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Welfare; Job loss; Unemployment; Job market","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":[0.001150639,0.0001913631,0.0003699143,0.000440976,0.0006085745,0.0007595066,0.0006469135,0.000867506,0.007973728],"category_scores_gemma":[0.00436703,0.0001412807,0.0005496208,0.0004337613,0.0005952349,0.0004451047,0.0007618153,0.0006527163,0.0006855394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005334619,"about_ca_system_score_gemma":0.0006036513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392443,"about_ca_topic_score_gemma":0.03314862,"domain_scores_codex":[0.9995595,0.0001445815,0.00001650466,0.00005393313,0.00004431234,0.0001811531],"domain_scores_gemma":[0.995738,0.001095737,0.001566191,0.0002505592,0.0001575547,0.001192013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005152295,0.004506344,0.8948371,0.0002791558,0.0005035264,0.0002880536,0.0006406774,0.0006750096,0.0006552454,0.001067543,0.003757376,0.08763762],"study_design_scores_gemma":[0.000150426,0.0008620198,0.9968376,0.0000600348,0.0001080856,0.00001956352,0.0004673471,0.0002320711,0.0001243107,0.000290235,0.0008424134,0.000005825865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953014,0.001041411,0.00004659116,0.001119463,0.00002673602,0.00001490874,0.0003473525,0.000005337738,0.002096893],"genre_scores_gemma":[0.9980289,0.0004733643,0.00004068486,0.000188688,0.00003511231,0.000009532848,0.0002248659,0.000001569043,0.000997272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392443,"threshold_uncertainty_score":0.02768672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1468337782659001,"score_gpt":0.3146219446512374,"score_spread":0.1677881663853373,"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."}}