{"id":"W6889020051","doi":"10.25318/9810018201-eng","title":"Mother tongue by language spoken most often at home and other language(s) spoken regularly at home: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Population; Urban agglomeration; First language","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":[0.001088187,0.001918096,0.001770686,0.00443103,0.002078194,0.002727394,0.004117087,0.001346192,0.03890473],"category_scores_gemma":[0.006886924,0.001290921,0.001483029,0.01637068,0.0005475813,0.001210916,0.001555393,0.002581108,0.01793652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0170296,"about_ca_system_score_gemma":0.03643145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9778553,"about_ca_topic_score_gemma":0.9822487,"domain_scores_codex":[0.9986407,0.00007994421,0.0001588965,0.0002321656,0.0004489742,0.0004393218],"domain_scores_gemma":[0.9938239,0.0004017037,0.0004599928,0.0002995366,0.004340239,0.0006745818],"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":[0.00004721832,0.00001699132,0.004036618,0.0003573727,0.00003523216,0.00001766046,0.00004613921,0.0001449691,0.00001868692,0.0003406629,0.9935457,0.001392575],"study_design_scores_gemma":[0.000593285,0.00002674082,0.1629018,0.00142179,0.0001375662,0.0001142986,0.0007631294,0.0007640885,0.0003314284,0.000711266,0.8321347,0.00009997992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002293581,0.00005255738,0.00001724978,0.00004598696,0.00001299322,0.00001399647,0.9991872,0.00002345887,0.0004171832],"genre_scores_gemma":[0.001839767,0.0001669935,0.0001999733,0.00007996466,0.00001003549,0.0001518095,0.9948538,0.00003519923,0.002662576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03890473,"threshold_uncertainty_score":0.1301493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003593829413111495,"score_gpt":0.226193006663807,"score_spread":0.2225991772506955,"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."}}