{"id":"W6901504112","doi":"10.6068/dp14ba7be1d5f26","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Seniors' characteristics, by age group and source of income | Variable: 0 to 34 years, Canada Child Tax Benefit, Amount of income | Units: , 2007-2011. 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; Census; Population; Official statistics; Summary statistics; Household income; Transfer payment","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":[0.002214619,0.002325756,0.002681602,0.007495281,0.003100311,0.004735297,0.005345753,0.001455302,0.08605248],"category_scores_gemma":[0.018566,0.00176263,0.002161541,0.03703101,0.0005952956,0.002436866,0.002399187,0.003310688,0.05277513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0474173,"about_ca_system_score_gemma":0.1109194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921341,"about_ca_topic_score_gemma":0.9905232,"domain_scores_codex":[0.9963373,0.0002574249,0.000428142,0.0004743843,0.0016579,0.0008447247],"domain_scores_gemma":[0.9684101,0.001184383,0.0009705137,0.001027145,0.02695636,0.001451338],"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":[0.00002215667,0.000005667501,0.001002565,0.0002236869,0.00001876587,0.000005852535,0.00001972144,0.00008612178,0.000007680556,0.0003240234,0.9967883,0.001495517],"study_design_scores_gemma":[0.0001604597,0.00001137479,0.02546844,0.001000034,0.00007116939,0.00002868421,0.0004429823,0.000436525,0.0001722088,0.0007456465,0.9713707,0.00009165231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004624439,0.00004139999,0.0000213203,0.0001011405,0.00002098644,0.00001302297,0.9990591,0.00004796098,0.0006488257],"genre_scores_gemma":[0.0006386974,0.0002184774,0.0003437846,0.0001198838,0.00001399912,0.0001224802,0.9956448,0.00008921965,0.002808781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08605248,"threshold_uncertainty_score":0.3440382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610258473839214,"score_gpt":0.2253460783833621,"score_spread":0.20924349364497,"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."}}