{"id":"W6907990193","doi":"10.25318/9810012401-eng","title":"Census family structure including detailed information on stepfamilies, number of children, average number of children and age of youngest child: Canada, provinces and territories, census metropolitan areas and census agglomerations","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; Urban agglomeration; American Community Survey; Demographic analysis","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":[0.0009670997,0.001495878,0.001608801,0.004594631,0.002037423,0.002127694,0.003128061,0.0009766564,0.05439336],"category_scores_gemma":[0.007788676,0.0009909123,0.001023225,0.01679976,0.0003766059,0.001075618,0.00114888,0.002264038,0.0202461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01951917,"about_ca_system_score_gemma":0.0417738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9728826,"about_ca_topic_score_gemma":0.9789534,"domain_scores_codex":[0.9988286,0.00007981312,0.0001264023,0.0001867314,0.0004313455,0.0003469845],"domain_scores_gemma":[0.9912118,0.0004152261,0.0004020503,0.0003196724,0.007021565,0.0006296095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002276174,0.00001163012,0.002259482,0.0002010728,0.00001592015,0.00000978025,0.00003490638,0.0001051087,0.00001326086,0.00044394,0.9955291,0.001353018],"study_design_scores_gemma":[0.0002363075,0.00001581585,0.1104182,0.001031694,0.00006381041,0.00006773668,0.0005795348,0.0006207598,0.000211915,0.0009339504,0.8857528,0.0000673703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001424836,0.00003076147,0.00002632968,0.00004236412,0.00001188082,0.00002041025,0.9989442,0.00002292019,0.0007586491],"genre_scores_gemma":[0.00141162,0.0001381425,0.000332888,0.00006549561,0.000008535645,0.0001924535,0.9953582,0.00002829699,0.002464448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05439336,"threshold_uncertainty_score":0.1819639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005281427598008162,"score_gpt":0.2455447371274077,"score_spread":0.2402633095293995,"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."}}