{"id":"W1928924260","doi":"10.4000/eps.3788","title":"Migrations, emplois et discriminations","year":2009,"lang":"fr","type":"article","venue":"Espace populations sociétés","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066854,0.0002271547,0.000283391,0.0007956272,0.001993049,0.001596419,0.0004687401,0.0004072216,0.005640162],"category_scores_gemma":[0.00288993,0.0001450881,0.0002714467,0.001885496,0.002951124,0.001313734,0.001954416,0.0006683914,0.0003856658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002902055,"about_ca_system_score_gemma":0.001898599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1337098,"about_ca_topic_score_gemma":0.1738489,"domain_scores_codex":[0.9992927,0.0002742377,0.00002502958,0.0001074381,0.00008299205,0.000217571],"domain_scores_gemma":[0.998925,0.0003086056,0.000355914,0.0001182929,0.0001096962,0.0001824185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002084656,0.0001019165,0.7594821,0.000227991,0.0001026879,0.0009032284,0.08751705,0.002051886,0.0006425144,0.05805819,0.002907678,0.0877962],"study_design_scores_gemma":[0.00001661452,0.0001037619,0.8840513,0.0003726917,0.00004169936,0.0002186967,0.06611557,0.0007282264,0.0001829857,0.006294396,0.0418373,0.00003669051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815089,0.001589592,0.0005709741,0.001682384,0.00003887071,0.00001150728,0.0001790071,0.000007408388,0.01441142],"genre_scores_gemma":[0.9945908,0.0007552644,0.0001364767,0.00006528858,0.00001352135,0.000009114364,0.00004912183,0.000002865086,0.004377593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1337098,"threshold_uncertainty_score":0.2658631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032124643613088,"score_gpt":0.4416336430905951,"score_spread":0.3384211787292863,"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."}}