{"id":"W1562051869","doi":"10.4000/interventionseconomiques.1987","title":"The Labor Market Condition of Immigrants in Italy: The case of Lombardy","year":2013,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Sociology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005372587,0.0001606766,0.0003397221,0.001492627,0.002639169,0.001552577,0.0004765627,0.0007142635,0.004292131],"category_scores_gemma":[0.001761857,0.0001449034,0.0002232956,0.001921527,0.001490073,0.0005401509,0.001814958,0.0006754047,0.0002312336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003448964,"about_ca_system_score_gemma":0.00185962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3972552,"about_ca_topic_score_gemma":0.5531544,"domain_scores_codex":[0.9995934,0.0000919353,0.00001015359,0.00002764186,0.00002416786,0.0002526807],"domain_scores_gemma":[0.9996579,0.00007649547,0.000127225,0.00001572441,0.00002531108,0.00009742458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004533961,0.0001870358,0.81717,0.0002012084,0.00007245885,0.007819752,0.1304766,0.0002965684,0.001095686,0.009432201,0.002576135,0.03021902],"study_design_scores_gemma":[0.00001688524,0.00005282098,0.9485074,0.000100651,0.00002055997,0.0003242458,0.04496284,0.0001283792,0.0000462899,0.0002520604,0.005574804,0.00001290784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996739,0.0006503494,0.00001257947,0.0005715419,0.00000343027,0.000007549693,0.00003349084,8.288257e-7,0.001981156],"genre_scores_gemma":[0.9972495,0.0007048056,0.0000299154,0.0001098875,0.00001201692,0.00001419413,0.00005816676,0.000001747117,0.001819736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3972552,"threshold_uncertainty_score":0.7898859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433584253987723,"score_gpt":0.3243742508828618,"score_spread":0.2900384083429846,"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."}}