{"id":"W6920297518","doi":"10.6068/dp14ba83a05bc69","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Market income, government transfers, total income, income tax and after-tax income, by economic family type, 2011 constant dollars | Variable: Non-elderly females, non-earner, Median market 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Gross income; Economic inequality; Official statistics; Government (linguistics); Personal income; Population; Household income; Government spending; Socioeconomic status; 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":[0.001930563,0.002396442,0.002844062,0.008256977,0.003024976,0.004714633,0.005279676,0.001457484,0.08584444],"category_scores_gemma":[0.01734257,0.001842313,0.002082935,0.03914268,0.0006073968,0.002319459,0.002348354,0.003280996,0.04744568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04916944,"about_ca_system_score_gemma":0.1202267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932054,"about_ca_topic_score_gemma":0.9912402,"domain_scores_codex":[0.9965255,0.0002186318,0.0004248515,0.0004340026,0.001561146,0.0008360044],"domain_scores_gemma":[0.9679177,0.001167868,0.001057281,0.0009088197,0.02744168,0.001506638],"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":[0.00002382774,0.000007011928,0.001038376,0.0002575736,0.00001949611,0.000005832946,0.00002057385,0.0001055492,0.000007497546,0.0003446877,0.9966632,0.001506305],"study_design_scores_gemma":[0.0002199365,0.00001531759,0.0352091,0.001212323,0.00008456544,0.00003389452,0.0005475956,0.0005961542,0.0002284012,0.0007805112,0.9609619,0.000110384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004745029,0.00003693259,0.00001592845,0.0000794283,0.00001733004,0.00001311738,0.9991667,0.00004191409,0.0005811215],"genre_scores_gemma":[0.0007308188,0.0002310381,0.0002870048,0.0001064339,0.00001465868,0.0001283908,0.9952003,0.00008448312,0.003216882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08584444,"threshold_uncertainty_score":0.3567509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598787970164513,"score_gpt":0.2355053836066568,"score_spread":0.2195175039050117,"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."}}