{"id":"W6963640703","doi":"10.25318/9810061801-eng","title":"Mother tongue by immigrant status and period of immigration and number of languages known: 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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Immigration; Urban agglomeration; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001582766,0.0004438391,0.0005900573,0.0001522476,0.000204735,0.00009645947,0.00008225483,0.0001325719,0.00001082845],"category_scores_gemma":[0.0003827411,0.0004105519,0.00000923424,0.000288088,0.000418117,0.000113282,0.0000559078,0.0001836852,1.559329e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006731474,"about_ca_system_score_gemma":0.00116319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970149,"about_ca_topic_score_gemma":0.9997978,"domain_scores_codex":[0.9976127,0.0001215258,0.0005609086,0.0005154191,0.0008050859,0.0003843262],"domain_scores_gemma":[0.9979631,0.0004018284,0.0006470594,0.0002752741,0.00044011,0.0002726448],"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":[0.00006625709,0.00003465089,0.004614624,0.0008509588,0.0001563824,0.00005110888,0.0003367147,0.000001020307,0.0001322243,0.0006335918,0.9923111,0.0008113458],"study_design_scores_gemma":[0.002598681,0.000784116,0.4102436,0.001861104,0.002408503,0.0002214866,0.06938276,0.0004662008,0.0012612,0.0002271185,0.5075365,0.003008715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03886294,0.001735085,0.00001220871,0.00009197374,0.0001096168,0.0004948738,0.9586702,0.00001270685,0.00001041372],"genre_scores_gemma":[0.09654594,0.0005888321,0.0004187743,0.00000741768,0.00003746679,0.00004841971,0.9020959,0.00007358641,0.0001837158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4847746,"threshold_uncertainty_score":0.9998347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003763959060322131,"score_gpt":0.251208594484175,"score_spread":0.2474446354238529,"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."}}