{"id":"W4387891103","doi":"","title":"En finir avec les ghettos urbains ? : retour sur l'expérience des zones franches urbaines","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science","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":[0.002603221,0.0007710206,0.0006998959,0.00053661,0.02184803,0.005223745,0.0009564934,0.002343099,0.007538424],"category_scores_gemma":[0.002318793,0.0003527546,0.0003125899,0.0008807837,0.007926365,0.002237,0.004808993,0.002312443,0.0008284362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006117207,"about_ca_system_score_gemma":0.003591546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2932298,"about_ca_topic_score_gemma":0.3975757,"domain_scores_codex":[0.9977558,0.001144742,0.00003167483,0.0001329533,0.0001402743,0.000794648],"domain_scores_gemma":[0.9990176,0.0003148367,0.0001461095,0.00003521231,0.000140469,0.0003457556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006852869,0.00004140153,0.008555956,0.00007030048,0.000007142304,0.001335512,0.9758768,0.00003296017,0.0007384369,0.00306138,0.001346555,0.008864929],"study_design_scores_gemma":[0.000003513519,0.00004172222,0.01075417,0.00007423574,0.000005976469,0.0003083593,0.955311,0.00002536716,0.0001289835,0.0002025391,0.03313099,0.00001306488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730458,0.002503889,0.000216227,0.005075496,0.0001699349,0.00002138052,0.00003451541,0.000009519405,0.01892326],"genre_scores_gemma":[0.9855054,0.001067145,0.0001209873,0.0006413432,0.00003489595,0.00001554129,0.0000131973,0.00001454674,0.01258694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2932298,"threshold_uncertainty_score":0.583046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07076982573649315,"score_gpt":0.319293031132152,"score_spread":0.2485232053956588,"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."}}