{"id":"W6939193313","doi":"10.6068/dp14ba8e2108153","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Persons in low income families | Variable: Low income cut-offs after tax, 1992 base, Persons 65 years and over, Aggregate low income gap as a percentage of income | Units: , 1976-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-121.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Low income; Socioeconomic status; Population; Economic inequality; Poverty; Economic statistics; Personal income; Household income; Census","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":[0.002212986,0.002438641,0.002887635,0.008471782,0.003500545,0.005067609,0.005759078,0.001542131,0.09440006],"category_scores_gemma":[0.01933181,0.001895914,0.002309737,0.03972316,0.0006261044,0.002488036,0.002546168,0.003455894,0.04968188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05342571,"about_ca_system_score_gemma":0.1336938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943434,"about_ca_topic_score_gemma":0.9928133,"domain_scores_codex":[0.9960227,0.0002511562,0.0004457728,0.0004682134,0.001839549,0.0009726356],"domain_scores_gemma":[0.9654436,0.001228854,0.001003752,0.0009925439,0.02965183,0.001679501],"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":[0.00002418417,0.000006845296,0.001024346,0.0002527367,0.00002124204,0.000006179187,0.00002328712,0.00009757212,0.000008135707,0.0003841288,0.9965004,0.001650991],"study_design_scores_gemma":[0.0001979098,0.00001494263,0.03113892,0.001155981,0.00008959827,0.00003351154,0.0005523417,0.0005061585,0.0002162726,0.0008045044,0.9651781,0.0001118001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005050774,0.00004477192,0.00002105006,0.0001021076,0.00002272842,0.00001782748,0.9989412,0.0000510395,0.0007486473],"genre_scores_gemma":[0.0008022917,0.0002824859,0.000381857,0.0001365166,0.00001773916,0.0001566062,0.9943281,0.0001063741,0.003787953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09440006,"threshold_uncertainty_score":0.3876324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893142557542454,"score_gpt":0.239045749978055,"score_spread":0.2201143244026305,"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."}}