{"id":"W6945552842","doi":"10.25318/9810036401-eng","title":"Mother tongue by generation status 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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; 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":[0.0008432902,0.001678524,0.001592728,0.004425379,0.001851095,0.002300313,0.003183559,0.001234218,0.05714712],"category_scores_gemma":[0.007273802,0.001052402,0.001233551,0.01741741,0.0004460185,0.001139988,0.001387929,0.001979416,0.02308269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01401247,"about_ca_system_score_gemma":0.02957161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627481,"about_ca_topic_score_gemma":0.969535,"domain_scores_codex":[0.9989316,0.00005936471,0.0001309067,0.0001737374,0.000340633,0.0003638083],"domain_scores_gemma":[0.9939917,0.000415087,0.0003840566,0.0002810713,0.004334818,0.0005932528],"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":[0.00003828989,0.00001071388,0.002515869,0.0002881619,0.00002243621,0.00001504352,0.00003442403,0.00009582151,0.00001448958,0.0002955541,0.9952353,0.001433935],"study_design_scores_gemma":[0.0003900499,0.00001818433,0.1079934,0.001241108,0.000088306,0.00008952186,0.0005567707,0.0004674649,0.0002625061,0.0007795509,0.8880345,0.00007882019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001477866,0.00003902828,0.00001382724,0.00003606972,0.000009579763,0.00001217715,0.9992728,0.00002110071,0.000447629],"genre_scores_gemma":[0.0014563,0.0001554565,0.0001760341,0.00007178217,0.000007754034,0.0001522855,0.9954021,0.00003170102,0.002546504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05714712,"threshold_uncertainty_score":0.1911762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00648032903460147,"score_gpt":0.2672446687289222,"score_spread":0.2607643396943207,"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."}}