{"id":"W3211260328","doi":"","title":"IAB-Stellenerhebung: Geflüchtete kommen mehr und mehr am Arbeitsmarkt an (Refugees increasingly visible at the German labour market)","year":2017,"lang":"de","type":"article","venue":"IAB-Kurzbericht","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; German; Quarter (Canadian coin); Labour economics; Demographic economics; Political science; Business; Economics; Geography; Law","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":[0.0007408988,0.0002524319,0.0001403157,0.0007789722,0.00219947,0.003316106,0.0003182097,0.001102331,0.02661133],"category_scores_gemma":[0.001098295,0.0001231336,0.0001409245,0.00140489,0.001041585,0.001846613,0.003484812,0.0008925654,0.003196955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307046,"about_ca_system_score_gemma":0.00207027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059792,"about_ca_topic_score_gemma":0.03514673,"domain_scores_codex":[0.9995903,0.0001007482,0.00002518092,0.00003783884,0.00006007247,0.0001859114],"domain_scores_gemma":[0.9994336,0.0000596373,0.00011611,0.00002197135,0.00005949307,0.0003091602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003216248,0.0001491258,0.09383726,0.0009915427,0.00002696722,0.001526839,0.05181189,0.0003068332,0.003206755,0.1075717,0.597876,0.1423736],"study_design_scores_gemma":[0.00002158883,0.00009653415,0.2125116,0.000591033,0.000009899238,0.0005815895,0.07830536,0.0001602695,0.0004956679,0.002615475,0.7045639,0.00004721402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6846985,0.02037719,0.000957999,0.08448558,0.003852799,0.0001604987,0.008650118,0.0002049685,0.1966124],"genre_scores_gemma":[0.8991891,0.008653703,0.0009573876,0.00386826,0.0003683675,0.0001329209,0.003474992,0.00005634638,0.08329886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02661133,"threshold_uncertainty_score":0.08902377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541750657765061,"score_gpt":0.3284354620331119,"score_spread":0.3130179554554612,"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."}}