{"id":"W6980832151","doi":"","title":"Croissance, inégalités et pauvreté : le cas des immigrants au Canada","year":2014,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; New immigrants; Ile de france; Welfare system","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":[0.001706055,0.0002296166,0.000392451,0.002950912,0.003479454,0.003199979,0.0009285281,0.0004746,0.002525673],"category_scores_gemma":[0.007790485,0.0002428697,0.0003662712,0.008648681,0.001638343,0.0006518693,0.001393737,0.0009502486,0.0001832755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02364875,"about_ca_system_score_gemma":0.04689297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949107,"about_ca_topic_score_gemma":0.9966081,"domain_scores_codex":[0.9985819,0.0001531904,0.0001000026,0.0001544476,0.0004515585,0.0005589345],"domain_scores_gemma":[0.995843,0.0007219801,0.0009686994,0.0001754796,0.001700623,0.0005903131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000104441,0.00002485228,0.9544907,0.00009234852,0.00005859564,0.0004300472,0.0229992,0.0002110346,0.0002135568,0.001484208,0.002090685,0.01780035],"study_design_scores_gemma":[0.000006234758,0.000016661,0.9527999,0.0001569646,0.00003619207,0.0001407992,0.0358969,0.0003893071,0.0001810118,0.0001662452,0.01017722,0.00003265873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909183,0.001030101,0.0001546099,0.001041354,0.00001202815,0.00003383082,0.003289598,0.000009506578,0.003510568],"genre_scores_gemma":[0.9939011,0.001327016,0.0002901217,0.0001264779,0.000006873015,0.0000210475,0.001410956,0.000008724855,0.002907682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02364875,"threshold_uncertainty_score":0.1715845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876837347036066,"score_gpt":0.2452876130200835,"score_spread":0.2265192395497229,"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."}}