{"id":"W2610713023","doi":"10.13130/b-salavatisarcheshmeh_phd2015-11-25","title":"IMMIGRANT-NATIVE LABOUR MARKET GAPS ANALYSIS FROM INSTITUTIONAL PERSPECTIVE","year":2015,"lang":"en","type":"dissertation","venue":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Immigration; Perspective (graphical); Labour economics; Business; Economics; Political science; Computer science","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":[0.001356755,0.0001857684,0.000254257,0.002057385,0.0008160796,0.001336193,0.0005747202,0.0003809466,0.005258133],"category_scores_gemma":[0.00401079,0.00008820681,0.0005056703,0.002131886,0.0005718019,0.001023094,0.002442383,0.0005447743,0.0003897207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008875731,"about_ca_system_score_gemma":0.001516028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01475364,"about_ca_topic_score_gemma":0.01607149,"domain_scores_codex":[0.9993375,0.000165482,0.00005182289,0.000091651,0.0001400709,0.0002134817],"domain_scores_gemma":[0.998244,0.0006295584,0.0005643723,0.0001241436,0.0002542617,0.0001834977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001271419,0.0001490981,0.9408463,0.0001918581,0.0001024738,0.0006549574,0.01029932,0.00150555,0.0003986102,0.01247283,0.001650924,0.03160101],"study_design_scores_gemma":[0.00000867037,0.0001179381,0.9368477,0.0002421004,0.00009991978,0.0001951729,0.04749531,0.004032705,0.0005039487,0.003688102,0.006745058,0.00002327057],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909391,0.0003654603,0.001097201,0.0002828878,0.00001215453,0.00003866144,0.0008331315,0.000009432229,0.006421811],"genre_scores_gemma":[0.9977048,0.0001425492,0.0004042816,0.00003105689,0.00001147854,0.00004574678,0.0005729122,0.000003845241,0.001083243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01475364,"threshold_uncertainty_score":0.0293355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543360255515321,"score_gpt":0.2298998734871925,"score_spread":0.2144662709320392,"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."}}