{"id":"W6907734052","doi":"10.25318/9810020101-eng","title":"Language spoken at home by single and multiple responses of language spoken at home and mother tongue: 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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Population; Urban agglomeration; Spoken language; 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":[0.001675737,0.002114481,0.002125733,0.00502514,0.002382318,0.003182659,0.005082819,0.001637,0.04753312],"category_scores_gemma":[0.01135958,0.001441506,0.001740903,0.01967197,0.0005926447,0.00138205,0.001854052,0.002647476,0.02332366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02040542,"about_ca_system_score_gemma":0.04271495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770889,"about_ca_topic_score_gemma":0.9816486,"domain_scores_codex":[0.9978078,0.0001535325,0.0002643119,0.0003626655,0.0007647429,0.0006469664],"domain_scores_gemma":[0.9891805,0.0007357714,0.0006968885,0.0006040245,0.007762592,0.001020176],"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":[0.0000521848,0.00001560062,0.003260214,0.0003368524,0.00004134879,0.00001393446,0.00004052247,0.0001334525,0.00001619541,0.0002727657,0.9944502,0.001366764],"study_design_scores_gemma":[0.0007130876,0.00003136843,0.1943185,0.001638684,0.0001817876,0.0001064814,0.0007267295,0.0008231599,0.00041267,0.000763187,0.8001454,0.0001388729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001758902,0.0000358549,0.00001681609,0.00003986855,0.00001190158,0.00001418736,0.99933,0.00002423977,0.000351241],"genre_scores_gemma":[0.001378289,0.0001055902,0.0001723251,0.00007171045,0.000008634737,0.0001912182,0.9957313,0.000038454,0.002302382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04753312,"threshold_uncertainty_score":0.1590142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005384624905110142,"score_gpt":0.2351411618157793,"score_spread":0.2297565369106691,"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."}}