{"id":"W4298878196","doi":"10.4000/moussons.8864","title":"La recherche sur l’immigration vietnamienne au Canada","year":2000,"lang":"fr","type":"article","venue":"Moussons","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Political science; Humanities; History; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002168691,0.0001648324,0.0001945921,0.0000268064,0.0005820015,0.0000732132,0.0002491291,0.0004176419,0.007507264],"category_scores_gemma":[0.0003042598,0.0001836134,0.0000834889,0.0004154523,0.0002284417,0.000333983,0.00001427994,0.0004161348,0.0003562334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827596,"about_ca_system_score_gemma":0.003174309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9811205,"about_ca_topic_score_gemma":0.9996311,"domain_scores_codex":[0.9972842,0.001367403,0.0002805946,0.0002912401,0.0002449478,0.000531662],"domain_scores_gemma":[0.9986998,0.000706326,0.00008077396,0.0002170749,0.00007208926,0.0002238886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001847955,0.0002978868,0.01037844,0.00006697381,0.00008179535,0.00002654035,0.1649039,0.0007607253,0.00006231672,0.02421625,0.3479513,0.4512354],"study_design_scores_gemma":[0.0001414399,0.00002405093,0.009596096,0.00002926215,0.00003160719,0.000004151292,0.005405417,0.0008914929,0.00005499357,0.001100163,0.9824901,0.0002312093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7082432,0.001808585,0.0001161883,0.04172254,0.0009194953,0.000193452,0.00005315038,0.00004423398,0.2468992],"genre_scores_gemma":[0.6684356,0.002049413,0.0002406181,0.0006463353,0.0007155395,0.00001702605,0.00002258588,0.00001458995,0.3278583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6345388,"threshold_uncertainty_score":0.9934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104805382103942,"score_gpt":0.3176597841320856,"score_spread":0.2128544020281436,"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."}}