{"id":"W6976729711","doi":"10.6068/dp14ba8c438065","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, Unattached individuals, under 65 years, Average gap ratio | 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":"Official statistics; Low income; Socioeconomic status; Population; Census; Poverty; Economic inequality; Economic statistics; Demographic statistics; Inequality","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":[0.002108156,0.002425905,0.00288364,0.008313113,0.003438351,0.005346295,0.005655933,0.001571116,0.09705897],"category_scores_gemma":[0.01869545,0.001896849,0.00225701,0.03977665,0.0006429042,0.002515485,0.002568925,0.003445259,0.05452815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05142374,"about_ca_system_score_gemma":0.1224947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939123,"about_ca_topic_score_gemma":0.992273,"domain_scores_codex":[0.9962103,0.0002419998,0.0004257314,0.0004741561,0.001699062,0.0009487378],"domain_scores_gemma":[0.9681147,0.001222593,0.0009505822,0.001007816,0.02709467,0.001609647],"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":[0.00002299095,0.000006511276,0.0009691865,0.0002447405,0.00001983844,0.000005945888,0.00002269438,0.00009322468,0.000007916801,0.0003533797,0.9967054,0.00154826],"study_design_scores_gemma":[0.0001851176,0.00001323835,0.02776143,0.001074837,0.00007940829,0.00003086886,0.0005160189,0.0004655717,0.0002070698,0.0007819951,0.9687774,0.0001070056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000437032,0.00003921428,0.00001890969,0.00008863425,0.0000208188,0.00001511071,0.9990234,0.00004910431,0.0007009656],"genre_scores_gemma":[0.0007084358,0.0002402119,0.0003400897,0.0001159104,0.00001577744,0.0001383963,0.994989,0.0001005868,0.003351653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09705897,"threshold_uncertainty_score":0.3731071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049501399743655,"score_gpt":0.2665249670032253,"score_spread":0.2360299530057887,"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."}}