{"id":"W3121978262","doi":"","title":"L'inégalité, la pauvreté et l'intégration économique des immigrants au Canada","year":2014,"lang":"fr","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Immigration; Humanities; 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":[0.0008488533,0.0002297938,0.0003240878,0.002158139,0.00491969,0.00299905,0.0005731242,0.0004006642,0.004240162],"category_scores_gemma":[0.003241591,0.0001535044,0.000279542,0.004359001,0.001383714,0.0005545555,0.001501924,0.0007499427,0.0002203253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02374242,"about_ca_system_score_gemma":0.04396901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923611,"about_ca_topic_score_gemma":0.9958639,"domain_scores_codex":[0.9991537,0.00009388184,0.00002684739,0.00008598157,0.0002819999,0.0003575514],"domain_scores_gemma":[0.9981211,0.0002430249,0.0004482628,0.00006661549,0.0007559218,0.0003651298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001628789,0.0000690521,0.8972248,0.0001191269,0.00008214369,0.0003963228,0.03246214,0.0006368847,0.0006086691,0.01063261,0.003959876,0.05364537],"study_design_scores_gemma":[0.00001038234,0.00003451939,0.9467598,0.0001315879,0.00004062537,0.00009995703,0.02413818,0.0004143827,0.0002871145,0.0005665117,0.02748445,0.00003260066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857609,0.001473875,0.0002612857,0.00177059,0.00001785081,0.00002068041,0.001578798,0.000009887146,0.009106117],"genre_scores_gemma":[0.9860607,0.001835359,0.0003461804,0.0001748604,0.00001206852,0.00001525176,0.000695986,0.000007480046,0.01085205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374242,"threshold_uncertainty_score":0.1722642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435160131345486,"score_gpt":0.2358835962793092,"score_spread":0.2215319949658543,"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."}}