{"id":"W6907817025","doi":"10.25318/9810030901-eng","title":"Immigrant status and period of immigration by mother tongue, labour force status 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","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":[0.001086495,0.001502409,0.001694707,0.004749187,0.001895922,0.00254663,0.003660951,0.001239073,0.03305651],"category_scores_gemma":[0.00735755,0.001071007,0.001520461,0.01755624,0.0004745635,0.001056014,0.001372416,0.002246466,0.01251295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01879142,"about_ca_system_score_gemma":0.04420117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829737,"about_ca_topic_score_gemma":0.9845878,"domain_scores_codex":[0.9986497,0.00007223841,0.0001661807,0.0002057135,0.0004418798,0.0004643042],"domain_scores_gemma":[0.9929213,0.000403401,0.0005319548,0.0003237112,0.0050102,0.0008095624],"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":[0.00006440152,0.00002203843,0.00674607,0.0004624655,0.00005401587,0.00002280935,0.00006273119,0.0002598453,0.00002291442,0.0004904424,0.9900169,0.001775266],"study_design_scores_gemma":[0.0005315158,0.00002833333,0.228504,0.001859691,0.0001823962,0.0001350341,0.0009852648,0.001077747,0.0003627746,0.0008507071,0.7653679,0.0001145407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002860172,0.00005164441,0.00001738366,0.00004074254,0.00001178737,0.00001436621,0.9991568,0.00002028253,0.0004009326],"genre_scores_gemma":[0.002781117,0.0001821578,0.0002361178,0.00008024813,0.000008850825,0.0001533564,0.9941885,0.00003194763,0.002337688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03305651,"threshold_uncertainty_score":0.1363419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008932691481671905,"score_gpt":0.2568593992938357,"score_spread":0.2479267078121637,"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."}}