{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002552363,0.0008869231,0.001096372,0.0003365957,0.000685716,0.0001357593,0.0004448372,0.0002618331,0.0001916767],"category_scores_gemma":[0.001196611,0.0009633718,0.00003904236,0.0005702348,0.0007377447,0.0001606923,0.0003399003,0.0007476209,9.574308e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002494882,"about_ca_system_score_gemma":0.002882908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993518,"about_ca_topic_score_gemma":0.9962871,"domain_scores_codex":[0.9944817,0.0003884006,0.001105463,0.001100736,0.002156973,0.0007666933],"domain_scores_gemma":[0.9956368,0.001035028,0.001283436,0.0007454201,0.0007745574,0.000524786],"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":[0.00008568823,0.00006519704,0.002832097,0.0006346875,0.0003057587,0.00009714837,0.0001417769,0.00001755653,0.0002189382,0.001283158,0.9937876,0.0005304012],"study_design_scores_gemma":[0.001693766,0.00029066,0.6358194,0.0004248774,0.001834897,0.0003493145,0.01004098,0.0002629397,0.0001802578,0.0004670557,0.3460578,0.002578069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06471763,0.001673326,0.000006892867,0.00004743908,0.000675827,0.0009886327,0.9318278,0.00001969645,0.0000427361],"genre_scores_gemma":[0.1194276,0.0003345216,0.001036114,0.00002723771,0.00009774513,0.00004482245,0.8788109,0.0001153438,0.0001056737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6477298,"threshold_uncertainty_score":0.9992817,"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."}}