{"id":"W3122288143","doi":"","title":"Immigration, propriete d?entreprises et emploi au Canada","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Immigration; Ethnology; Sociology; Art; Law","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":[0.001061156,0.0002504481,0.0004424622,0.001905164,0.005081898,0.003291402,0.0006171589,0.0003914599,0.008617372],"category_scores_gemma":[0.00451913,0.0001636199,0.0003418716,0.004185605,0.001474158,0.0008176375,0.001437722,0.00106116,0.0004354614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01662807,"about_ca_system_score_gemma":0.03034933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820173,"about_ca_topic_score_gemma":0.9906658,"domain_scores_codex":[0.9989428,0.00009303677,0.00003202131,0.0001274186,0.0003328323,0.0004718385],"domain_scores_gemma":[0.9961324,0.0005735932,0.0006792432,0.0001792398,0.001444764,0.0009907471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003056684,0.00008357503,0.8653676,0.0001789292,0.0001295684,0.0004970953,0.0298688,0.0008925323,0.000507409,0.01760824,0.01185175,0.07270878],"study_design_scores_gemma":[0.0000111594,0.00003237814,0.940157,0.0002721129,0.000067168,0.0000994553,0.02389326,0.0004140787,0.0003093101,0.0006981507,0.0339959,0.00005005207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669968,0.001863514,0.000385291,0.002618127,0.00005215212,0.00002153954,0.002908504,0.00001850168,0.02513566],"genre_scores_gemma":[0.9703512,0.002787451,0.0004208534,0.0002700007,0.00002754608,0.0000181677,0.001194217,0.00001923991,0.02491134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798266,"threshold_uncertainty_score":0.1206456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280164711589675,"score_gpt":0.3204777978844104,"score_spread":0.2876761507685137,"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."}}