{"id":"W3125562777","doi":"","title":"Quelles caracteristiques du capital humain predisent le mieux les gains des immigrants de la composante economique","year":2015,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Immigration; Ethnology; Sociology; 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":[0.0004779404,0.0002975517,0.0003173669,0.0008731763,0.001588102,0.001974592,0.0003916693,0.0004293709,0.01142112],"category_scores_gemma":[0.001919941,0.0001834936,0.0003728059,0.001113861,0.001091688,0.0004580157,0.0009169578,0.0005146594,0.0007068642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484886,"about_ca_system_score_gemma":0.006093157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5160536,"about_ca_topic_score_gemma":0.6864439,"domain_scores_codex":[0.999588,0.0000559785,0.00001185772,0.00006452297,0.0001063635,0.0001732096],"domain_scores_gemma":[0.9992061,0.0001333765,0.0002338454,0.00004884065,0.0001953915,0.0001825144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003650419,0.00008114916,0.9176309,0.000148306,0.0001837798,0.0005106831,0.009539803,0.001128473,0.003551521,0.009148834,0.001724412,0.05598702],"study_design_scores_gemma":[0.000009185547,0.00004666403,0.9827323,0.00009562948,0.00007502701,0.00008646665,0.008006764,0.0003483842,0.0004808493,0.001414157,0.006683528,0.00002096392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847207,0.0009253403,0.000307868,0.0007721707,0.00001419537,0.00001855165,0.0003066908,0.000009429586,0.01292515],"genre_scores_gemma":[0.9881665,0.0009438253,0.0001720816,0.0001077662,0.00001353504,0.00001075532,0.0001778706,0.00000508283,0.01040269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5160536,"threshold_uncertainty_score":0.973593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1503575301473318,"score_gpt":0.4150213702392488,"score_spread":0.264663840091917,"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."}}