{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008032641,0.0009440657,0.0008616101,0.003507473,0.0009674744,0.001502178,0.001741191,0.0009480985,0.01695425],"category_scores_gemma":[0.005754305,0.0004664615,0.0007798349,0.007004108,0.0003328974,0.0006555326,0.0009763663,0.001592366,0.009048152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005403412,"about_ca_system_score_gemma":0.01209625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8365611,"about_ca_topic_score_gemma":0.8932404,"domain_scores_codex":[0.9993424,0.00004343099,0.00007318012,0.0001154762,0.0002209766,0.0002045872],"domain_scores_gemma":[0.996922,0.0003566612,0.0003320712,0.0002043823,0.001814784,0.0003701259],"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":[0.000116323,0.00002042549,0.01166623,0.0002536016,0.00003078626,0.00002894035,0.00005302249,0.0003147655,0.0000536628,0.0005570231,0.9838441,0.003061117],"study_design_scores_gemma":[0.0003753606,0.00003204965,0.1854657,0.0007352215,0.00007273618,0.0001762571,0.001207049,0.001227356,0.0006178614,0.001111967,0.8088796,0.0000988104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009082608,0.00006420366,0.00002615365,0.0001301725,0.00002262476,0.000007507754,0.9981989,0.000055109,0.0005869655],"genre_scores_gemma":[0.003998698,0.0001358675,0.0002152109,0.00007619565,0.00001390215,0.00004659893,0.9931223,0.00002746323,0.002363771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1634389,"threshold_uncertainty_score":0.3288028,"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."}}