{"id":"W6888976736","doi":"10.25318/9810012301-eng","title":"Census family structure, presence of children and average number of persons per census family: Canada, provinces and territories, census metropolitan areas and census agglomerations","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; American Community Survey; Urban agglomeration; 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":[0.00118395,0.001588854,0.001660163,0.005170164,0.00216486,0.002393542,0.003815143,0.001031033,0.04206818],"category_scores_gemma":[0.009490866,0.001086659,0.001224568,0.01958552,0.0004578205,0.001176522,0.001283702,0.002379738,0.0144651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02822664,"about_ca_system_score_gemma":0.05513864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883627,"about_ca_topic_score_gemma":0.9905199,"domain_scores_codex":[0.9985655,0.00008000957,0.0001527028,0.0002018647,0.0005740174,0.0004259174],"domain_scores_gemma":[0.989911,0.0004629676,0.0004714069,0.0003281971,0.008102214,0.0007241596],"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":[0.00002920566,0.00001332029,0.003934117,0.0002951756,0.00002597125,0.00001150567,0.00004443706,0.0001532148,0.00001302987,0.0004914943,0.9932433,0.001745354],"study_design_scores_gemma":[0.0003337261,0.00001831346,0.186741,0.001206842,0.0001003356,0.00007625239,0.0007314514,0.0008596682,0.0002488222,0.001037606,0.8085551,0.00009083964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001856416,0.00004583438,0.00002475609,0.00005317814,0.00001248871,0.0000178636,0.9989941,0.00002502708,0.0006411286],"genre_scores_gemma":[0.002154853,0.0001822097,0.0003595054,0.00008189277,0.000009513576,0.0001892514,0.994487,0.00003308098,0.00250274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04206818,"threshold_uncertainty_score":0.2047996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005985059081078633,"score_gpt":0.2493461957314793,"score_spread":0.2433611366504006,"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."}}