{"id":"W6907916999","doi":"10.25318/9810031501-eng","title":"Immigrant status and period of immigration by general income sources and highest level of education: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2023,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Immigration; Urban agglomeration; Population; American Community Survey; Period (music)","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":[0.00107404,0.001628857,0.001800039,0.005007019,0.001998059,0.002646267,0.003769113,0.001287767,0.03776443],"category_scores_gemma":[0.007611641,0.001135146,0.001477071,0.01926886,0.0005111963,0.00111486,0.001368136,0.002308097,0.01521114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02046751,"about_ca_system_score_gemma":0.04725398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833552,"about_ca_topic_score_gemma":0.9852526,"domain_scores_codex":[0.9984868,0.0000774787,0.0001792244,0.0002235298,0.0005227023,0.0005102882],"domain_scores_gemma":[0.9921392,0.0004590228,0.0005907692,0.0003711953,0.005615085,0.0008247597],"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":[0.00005216033,0.0000184482,0.004563602,0.0003695502,0.00004206164,0.00001790645,0.00004629322,0.0002259697,0.00002026227,0.0004975832,0.9927268,0.001419419],"study_design_scores_gemma":[0.0004919651,0.00002571877,0.1580878,0.001546549,0.0001497273,0.0001081349,0.0007777314,0.00100421,0.0003758262,0.0008450217,0.8364812,0.0001061245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001999016,0.00004227366,0.00001547111,0.00004141101,0.00001106216,0.00001189238,0.9992297,0.00002173204,0.0004265301],"genre_scores_gemma":[0.002130191,0.0001557232,0.0002206041,0.00007521441,0.000008273092,0.00011971,0.9948797,0.00003223962,0.002378384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03776443,"threshold_uncertainty_score":0.1485029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009395458866653881,"score_gpt":0.2539463453886732,"score_spread":0.2445508865220193,"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."}}