{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005059273,0.0003829377,0.0003995606,0.0001323335,0.0006616051,0.0002362828,0.000376796,0.0005850005,0.00295329],"category_scores_gemma":[0.001421134,0.0003294768,0.0002289329,0.0008053957,0.0004575957,0.001563829,0.00007469749,0.0004491154,0.00009018872],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01184027,"about_ca_system_score_gemma":0.005468743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9387333,"about_ca_topic_score_gemma":0.9938962,"domain_scores_codex":[0.9939108,0.003387417,0.0006859261,0.0006594621,0.000503245,0.0008530749],"domain_scores_gemma":[0.9973522,0.0009504577,0.0003879308,0.000375253,0.0005120924,0.0004220774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009892622,0.0005125345,0.4279628,0.0002374683,0.001052661,0.00001829841,0.04765179,0.0001006449,0.0008598643,0.05572117,0.04283483,0.422949],"study_design_scores_gemma":[0.0004889242,0.0001328976,0.05449738,0.0005030556,0.0002452758,0.00001225278,0.006509234,0.0001251955,0.005489637,0.01933561,0.9118602,0.0008003085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520272,0.003628875,0.006251272,0.0272291,0.001747001,0.0007665436,0.00006046293,0.0003090167,0.1079805],"genre_scores_gemma":[0.7770205,0.03192348,0.002156062,0.001005574,0.0007603984,0.00009798387,0.0000177212,0.00005055088,0.1869677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8690254,"threshold_uncertainty_score":0.9999157,"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."}}