{"id":"W6901429532","doi":"10.6068/dp14ba7c452ed20","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Economic dependency profile, by sex, taxfilers and income, and source of income | Variable: Canada Child Tax Benefit, Both sexes, Amount of income | Units: $CAD x 1,000, 2000-2011. 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; Economic statistics; Total personal income; Socioeconomic status; Demographic statistics; Official statistics; Census; Population; Household income; 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":[0.002119982,0.002414107,0.002599814,0.007739986,0.003263017,0.004677958,0.005453499,0.001466323,0.08742492],"category_scores_gemma":[0.01914184,0.001791618,0.002118471,0.03635918,0.000622471,0.002512093,0.002474789,0.003247664,0.05479874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04899535,"about_ca_system_score_gemma":0.1040511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927306,"about_ca_topic_score_gemma":0.9914273,"domain_scores_codex":[0.9965043,0.0002371361,0.0004123031,0.0004960971,0.001555749,0.000794385],"domain_scores_gemma":[0.9698056,0.001182193,0.0009460619,0.001081376,0.02561632,0.001368396],"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":[0.00002343911,0.000005289033,0.0009360393,0.0002265642,0.00001913845,0.000005896984,0.00001998037,0.00009393785,0.000007781934,0.000329809,0.9968413,0.001490827],"study_design_scores_gemma":[0.0001658088,0.00001074858,0.0233023,0.0009466917,0.00007095213,0.0000280856,0.0003958867,0.0004773573,0.0001792296,0.0007445827,0.9735872,0.00009118317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004302395,0.00003868086,0.00001912757,0.00008672233,0.00001777575,0.00001113568,0.999128,0.00005166913,0.0006038061],"genre_scores_gemma":[0.0005506127,0.000190064,0.0002827275,0.00009918243,0.00001140397,0.0001007496,0.996188,0.00007944484,0.002497772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08742492,"threshold_uncertainty_score":0.3554878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609455910008646,"score_gpt":0.2211745298988151,"score_spread":0.2050799707987286,"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."}}