{"id":"W6977002808","doi":"10.6068/dp14ba8b7f4853","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Seniors' characteristics, by family type, age of oldest individual and source of income | Variable: 65 years and over, Lone-parent families and persons not in census families, Amount of income, Other income | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demographic statistics; Socioeconomic status; Population; Official statistics; Population statistics; Economic statistics; Summary statistics; Fertility","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":[0.002323024,0.002539171,0.003029515,0.007823613,0.003445269,0.004760761,0.00644043,0.001470074,0.0802717],"category_scores_gemma":[0.01758823,0.00198204,0.002511821,0.03808887,0.0006033686,0.002417817,0.002538805,0.003438119,0.04440856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04923941,"about_ca_system_score_gemma":0.1066972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940182,"about_ca_topic_score_gemma":0.9926245,"domain_scores_codex":[0.9961432,0.0002763243,0.0004922631,0.0005037535,0.001631929,0.0009525385],"domain_scores_gemma":[0.9662458,0.001211548,0.001192971,0.001004907,0.02859356,0.001751237],"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":[0.00003367327,0.000009990928,0.002068806,0.0003295029,0.0000308965,0.000008723023,0.00003593297,0.0001201452,0.000009412283,0.0003268361,0.9951262,0.001899817],"study_design_scores_gemma":[0.000290085,0.00002139612,0.05588382,0.001471215,0.0001123095,0.00004434514,0.0008529378,0.0006244819,0.0002060293,0.0008928287,0.9394782,0.0001223615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007440416,0.0000428609,0.00002214615,0.00009111617,0.00002113684,0.00001689086,0.9990802,0.00004562202,0.0006056324],"genre_scores_gemma":[0.000849663,0.0002323741,0.0003285784,0.0001301059,0.00001567016,0.0001566326,0.9953464,0.0000827738,0.002857771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0802717,"threshold_uncertainty_score":0.3572586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348843313749664,"score_gpt":0.2345660075327965,"score_spread":0.2110775743952999,"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."}}