{"id":"W2346183074","doi":"","title":"Immigration, propriete d'entreprises et emploi au Canada","year":2016,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","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","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":[0.001237888,0.0001860243,0.0003320783,0.001799178,0.004444614,0.002939282,0.0005269733,0.0002545509,0.005536333],"category_scores_gemma":[0.004397964,0.0001296535,0.000249524,0.003782199,0.001418949,0.0006402984,0.001254866,0.0006851327,0.0002502311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0130188,"about_ca_system_score_gemma":0.02790199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722655,"about_ca_topic_score_gemma":0.9883326,"domain_scores_codex":[0.9989228,0.0001117997,0.00003830984,0.0001156141,0.0003835208,0.0004279312],"domain_scores_gemma":[0.9961438,0.0006648115,0.0007682769,0.0001658433,0.001495408,0.0007618097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00013272,0.00004708782,0.8880014,0.0001342909,0.00007618779,0.0003750563,0.04948488,0.000341947,0.0004329149,0.009177137,0.004553173,0.0472431],"study_design_scores_gemma":[0.000003803316,0.00001852258,0.947359,0.0001490669,0.00003223349,0.00006600902,0.03596928,0.0001326691,0.0001816414,0.0002129605,0.01585234,0.00002255264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828233,0.0008211751,0.0001525057,0.0008443406,0.00001702745,0.00001431109,0.001081405,0.000007610636,0.01423827],"genre_scores_gemma":[0.9835702,0.001692157,0.0002542583,0.0001313832,0.00001111706,0.00001590785,0.00054644,0.000008622267,0.01376996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02773446,"threshold_uncertainty_score":0.09445846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109043568570482,"score_gpt":0.3877703301477872,"score_spread":0.2787267615773052,"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."}}