{"id":"W6901797086","doi":"10.6068/dp14ba8ecd72b96","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 after tax, 1992 base, Persons 18 to 64 years in economic families, Number 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; Economic statistics; Total personal income; Population; Household income; 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":[0.002252616,0.00238141,0.002854701,0.008132882,0.003431378,0.004925889,0.005765123,0.00157413,0.08543653],"category_scores_gemma":[0.01993519,0.001817191,0.002213287,0.03838312,0.0006403066,0.002535725,0.00252209,0.003534821,0.05192924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04973751,"about_ca_system_score_gemma":0.1150783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932591,"about_ca_topic_score_gemma":0.9920773,"domain_scores_codex":[0.9961958,0.0002683617,0.0004280304,0.0005124004,0.001703944,0.0008915846],"domain_scores_gemma":[0.9666128,0.00137596,0.001046154,0.001130649,0.02827243,0.00156207],"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":[0.00002182605,0.000005934025,0.0009745691,0.0002228851,0.00002059622,0.00000570748,0.00002156186,0.00009889044,0.000007291295,0.0003482843,0.9968688,0.00140371],"study_design_scores_gemma":[0.0001733258,0.00001196415,0.02436964,0.0009662189,0.000073321,0.00002815536,0.0004533758,0.0004817646,0.0001740153,0.0007778257,0.9723913,0.00009902412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004470589,0.00003739455,0.00001993866,0.00009138006,0.00001874131,0.0000129046,0.9991531,0.00004861617,0.0005731442],"genre_scores_gemma":[0.000588656,0.0001873193,0.0003057698,0.0001006922,0.00001253618,0.0001145308,0.9960674,0.00008181549,0.002541259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08543653,"threshold_uncertainty_score":0.3608726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248227424323051,"score_gpt":0.2473372683280311,"score_spread":0.2248549940848006,"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."}}