{"id":"W1485734038","doi":"","title":"Augmentation des gains des immigrants : biais de selection ou progres reel?","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Immigration; Political science; Art","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":[0.02035096,0.0005857476,0.001042434,0.001841415,0.0008756901,0.003184296,0.001009816,0.0006638603,0.004923541],"category_scores_gemma":[0.05307481,0.000373695,0.001407344,0.002953944,0.001518753,0.001683011,0.001844808,0.0009726185,0.0008091863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347075,"about_ca_system_score_gemma":0.002703361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05742462,"about_ca_topic_score_gemma":0.07576527,"domain_scores_codex":[0.9930012,0.003193668,0.0005155089,0.001245596,0.001445863,0.0005982426],"domain_scores_gemma":[0.9501299,0.03521264,0.005007128,0.005883326,0.003163367,0.0006036832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009223045,0.00007099958,0.8340441,0.0006500811,0.00169985,0.0004139849,0.004390181,0.00416575,0.002051014,0.005734501,0.001093823,0.1447635],"study_design_scores_gemma":[0.00005334747,0.0004502136,0.9615991,0.0004072881,0.001337041,0.0003907001,0.00386197,0.004119701,0.002943711,0.006131374,0.01863703,0.00006854094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955623,0.004204917,0.02358441,0.001391101,0.00009870959,0.0002125057,0.003766653,0.0001689254,0.01094976],"genre_scores_gemma":[0.9829541,0.001317409,0.007683794,0.0003023426,0.0000547353,0.0002056921,0.001656209,0.00005914652,0.005766597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05742462,"threshold_uncertainty_score":0.1141807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612247874069449,"score_gpt":0.4041731129398674,"score_spread":0.3280506341991729,"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."}}