{"id":"W6957788447","doi":"10.6068/dp14ba8d4fc8878","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Persons in low income families | Variable: Low income cut-offs before tax, 1992 base, Females, 65 years and overage of persons in low income | Units: , 1976-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-119.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personal income; Socioeconomic status; Official statistics; Total personal income; Economic statistics; Household income; Population; Census; Demographic statistics; Summary statistics","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":[0.002163148,0.002320906,0.002728202,0.007862879,0.003335662,0.004794421,0.005541313,0.001486344,0.08553729],"category_scores_gemma":[0.01916994,0.001731179,0.002118311,0.03719051,0.0006316319,0.002523493,0.002418754,0.003320747,0.05454405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04681107,"about_ca_system_score_gemma":0.1123598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928365,"about_ca_topic_score_gemma":0.9915991,"domain_scores_codex":[0.9963763,0.0002563318,0.0004020354,0.0005009624,0.00161276,0.0008515433],"domain_scores_gemma":[0.9684614,0.001256006,0.0009607464,0.001138793,0.0267092,0.00147388],"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":[0.00002172465,0.000005612439,0.0009361361,0.0002149189,0.00001963726,0.000005737151,0.00002127173,0.00009752576,0.00000793411,0.0003484885,0.9968954,0.001425605],"study_design_scores_gemma":[0.0001528842,0.00001050738,0.02115643,0.0008634075,0.00006575863,0.00002578253,0.0004098171,0.0004248284,0.0001697513,0.0007277786,0.9759037,0.00008925271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004290783,0.00003608983,0.00002010447,0.0000863662,0.00001811315,0.00001224555,0.9991435,0.0000503577,0.000590252],"genre_scores_gemma":[0.0005510398,0.0001737675,0.0003009829,0.0000916252,0.00001166241,0.0001034316,0.9962655,0.00008170512,0.002420391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08553729,"threshold_uncertainty_score":0.3396397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647432468835213,"score_gpt":0.2441121950929764,"score_spread":0.2176378704046242,"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."}}