{"id":"W6926736260","doi":"10.25318/4310002701-fra","title":"Revenu des immigrants déclarants selon le profil socio-démographique et l'année d'imposition, dollars constants de 2023","year":2021,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Limiting; Population; Work (physics)","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"],"consensus_categories":[],"category_scores_codex":[0.0006904954,0.0005576914,0.0005225814,0.0001900307,0.001072484,0.0005571357,0.0007818298,0.0002870182,0.0000681178],"category_scores_gemma":[0.0003859847,0.0007242667,0.0001072201,0.001442758,0.0003170508,0.0003715096,0.0002233071,0.0006133612,0.0000247408],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008133022,"about_ca_system_score_gemma":0.007376414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1741421,"about_ca_topic_score_gemma":0.6556845,"domain_scores_codex":[0.9958533,0.0005930485,0.0008347892,0.0009407272,0.001078281,0.0006998316],"domain_scores_gemma":[0.9951782,0.001213538,0.0006777187,0.0007412527,0.001802873,0.0003864684],"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":[0.000009253935,0.0002583487,0.0002639407,0.0004188148,0.0001290712,0.0002008806,0.000363442,0.00032236,0.0005352864,0.08903719,0.8981369,0.01032449],"study_design_scores_gemma":[0.001976086,0.0002722477,0.2325208,0.004764539,0.0007696253,0.0005344325,0.002126769,0.03891985,0.002464367,0.283136,0.4278031,0.004712067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00121549,0.0006223298,0.353959,0.002196893,0.0004940429,0.0004561383,0.6409785,0.00002521898,0.00005242436],"genre_scores_gemma":[0.02184814,0.001099508,0.04904272,0.0007429938,0.0001712542,0.0002227467,0.9259813,0.00006052963,0.0008307901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4815424,"threshold_uncertainty_score":0.9995208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013505362442717,"score_gpt":0.2813729542136168,"score_spread":0.2678675917708998,"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."}}