{"id":"W2165974082","doi":"10.2190/hs.41.3.b","title":"How Do Macro-Level Contexts and Policies Affect the Employment Chances of Chronically Ill and Disabled People? Part II: The Impact of Active and Passive Labor Market Policies","year":2011,"lang":"en","type":"article","venue":"International Journal of Health Services","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Norwegian; Affect (linguistics); Labour economics; Welfare; Investment (military); Welfare state; Danish; Economics; Demographic economics; Business; Political science; Market economy; Sociology","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":[0.001140847,0.0001624795,0.0003620017,0.0005740246,0.0006591525,0.001769543,0.000301079,0.0006727386,0.002923108],"category_scores_gemma":[0.00536351,0.0001517826,0.0004798005,0.0006183403,0.001273397,0.001017869,0.00191604,0.0006833526,0.0002321501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165246,"about_ca_system_score_gemma":0.0009352294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.017078,"about_ca_topic_score_gemma":0.03569227,"domain_scores_codex":[0.9987586,0.0005513388,0.00004090032,0.0001020923,0.00009952195,0.0004475779],"domain_scores_gemma":[0.995312,0.001805099,0.001506338,0.0001755226,0.0002244861,0.0009765119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002497688,0.0001646634,0.9880958,0.00004063142,0.0001245212,0.0001400037,0.001192359,0.0005494333,0.0002787662,0.0007174796,0.0001120111,0.008334597],"study_design_scores_gemma":[0.00000378817,0.00008059229,0.9964985,0.0000196692,0.00002787475,0.00002647838,0.002437982,0.0001766515,0.00007273661,0.0003436737,0.0003063377,0.000005708658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997147,0.0005387138,0.00006664911,0.0005979555,0.000007976052,0.000009256425,0.0001050268,9.583468e-7,0.001526538],"genre_scores_gemma":[0.9995298,0.00016232,0.00002959206,0.00006150493,0.000005808181,0.000004332084,0.00002491381,6.232555e-7,0.0001810911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.017078,"threshold_uncertainty_score":0.03395724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614174798085428,"score_gpt":0.4062347715231214,"score_spread":0.3600930235422671,"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."}}