{"id":"W6907514010","doi":"10.25318/4310001501-fra","title":"Mobilité et revenu des immigrants déclarants selon la région de naissance et l'année d'admission","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Inequality; Context (archaeology); Relation (database); Government (linguistics)","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":[0.001001246,0.001119692,0.001127863,0.003603615,0.001069234,0.002132744,0.002202812,0.001400745,0.02424589],"category_scores_gemma":[0.009629558,0.0005954221,0.001155652,0.008797892,0.0003773448,0.0009581677,0.001357147,0.001973423,0.01397019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00804167,"about_ca_system_score_gemma":0.01410528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8853106,"about_ca_topic_score_gemma":0.9139417,"domain_scores_codex":[0.9990784,0.00008526585,0.0001334824,0.0001716431,0.0002660649,0.0002650963],"domain_scores_gemma":[0.9958132,0.0005759014,0.0004742526,0.0002576752,0.002377317,0.0005016604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001016301,0.00002008912,0.01078941,0.0004567267,0.00004480376,0.00002213723,0.00008763363,0.0003145967,0.00002682866,0.0006233392,0.9846904,0.002822351],"study_design_scores_gemma":[0.0005375318,0.00003204991,0.186795,0.001603563,0.0001236329,0.0001280343,0.001185225,0.001123994,0.000244385,0.001147929,0.8069637,0.000115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004428242,0.00008314614,0.00001615828,0.0001072309,0.00001587827,0.000006828704,0.9987963,0.00002792398,0.0005036193],"genre_scores_gemma":[0.002745778,0.0001864315,0.0001550718,0.00008265198,0.0000132152,0.00007665565,0.9944134,0.00002133652,0.002305472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1146894,"threshold_uncertainty_score":0.2307295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100921291918162,"score_gpt":0.3045406493812705,"score_spread":0.2944485201894543,"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."}}