{"id":"W6888898799","doi":"10.25318/4310000901-fra","title":"Revenu des immigrants selon l'année d'admission et le nombre d'années écoulées depuis l'admission, Canada et provinces","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Limiting; Settlement (finance)","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":[0.001047421,0.001295408,0.001393717,0.004835475,0.001536986,0.00242151,0.002848304,0.001307134,0.0317338],"category_scores_gemma":[0.01107912,0.0007442349,0.001244095,0.01270935,0.0004809242,0.001023027,0.001532007,0.002107989,0.01452715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01462028,"about_ca_system_score_gemma":0.03462694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9640157,"about_ca_topic_score_gemma":0.974174,"domain_scores_codex":[0.9986336,0.00008231543,0.0001773294,0.0002344848,0.0004411147,0.000431221],"domain_scores_gemma":[0.9927428,0.0006339495,0.0006369353,0.0003457687,0.004897379,0.0007430999],"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":[0.00007449235,0.0000139283,0.005409376,0.0003452207,0.00003305846,0.00001569623,0.00005015442,0.000173815,0.00002112356,0.000445274,0.9914235,0.001994305],"study_design_scores_gemma":[0.00047275,0.00002379739,0.1509168,0.001294322,0.0001174343,0.0001002543,0.0008929604,0.0008009408,0.0003208154,0.0008025224,0.8441594,0.00009796416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002926128,0.00006278555,0.0000157416,0.00009375095,0.00001550471,0.000008288312,0.9989433,0.00003355198,0.0005345051],"genre_scores_gemma":[0.002135798,0.0001841766,0.0001588299,0.00008915859,0.00001299794,0.0000709274,0.9942132,0.0000327348,0.00310225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03598434,"threshold_uncertainty_score":0.1061602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086897198091557,"score_gpt":0.2741766520206343,"score_spread":0.2633076800397187,"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."}}