{"id":"W3123842323","doi":"10.2307/4126664","title":"Targeting Employment Services","year":2004,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Labour economics; Economics","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":[0.0006914976,0.0003184203,0.0002311326,0.0009120812,0.0004837644,0.000838211,0.0005336323,0.0008405882,0.01231456],"category_scores_gemma":[0.001227002,0.0001227224,0.0003559333,0.001083168,0.0001655932,0.0005264598,0.0004926839,0.0003930694,0.003627837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119219,"about_ca_system_score_gemma":0.002850519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01302704,"about_ca_topic_score_gemma":0.03262733,"domain_scores_codex":[0.9992579,0.0001864829,0.00003176459,0.00006608488,0.0003555455,0.0001021414],"domain_scores_gemma":[0.9997036,0.00008072915,0.00005613323,0.00001367035,0.0001131394,0.00003276743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003398741,0.0001108551,0.001493407,0.002224348,0.00003099143,0.0001220805,0.0001958984,0.0002870874,0.001187477,0.008904392,0.1826668,0.8027428],"study_design_scores_gemma":[0.00001827556,0.0001618708,0.006419526,0.002175887,0.00006114923,0.000534116,0.000306469,0.00008848184,0.0005684104,0.0009386525,0.9887201,0.000007128029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009870432,0.6228305,0.002138881,0.01344756,0.002075083,0.0001967822,0.0006541698,0.0002003609,0.3485863],"genre_scores_gemma":[0.09466831,0.7790337,0.003005714,0.01650141,0.0009811155,0.0002501335,0.0007048328,0.00003925367,0.1048157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01302704,"threshold_uncertainty_score":0.04119629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0828840627442027,"score_gpt":0.3966572743911704,"score_spread":0.3137732116469677,"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."}}