{"id":"W6920506286","doi":"10.6068/dp14ba8f999d696","title":"Trend 1998 - 2007. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Persistence of low income, by selected characteristics | Variable: Some postsecondary without degree, certificate or diploma, Low income cut-offs after tax, 1992 baseage of persons in low income, 1 year in low income | Units: , 1998-2007. 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; Socioeconomic status; Population; Economic statistics; Economic inequality; Social statistics; Inequality; Census; Social security; Government (linguistics)","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":[0.002133119,0.002386777,0.002867814,0.007789007,0.003144714,0.004492025,0.005606473,0.001349815,0.08298925],"category_scores_gemma":[0.01630044,0.001854494,0.002294581,0.03703177,0.0005914715,0.002312077,0.002412124,0.003431309,0.04240648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05124265,"about_ca_system_score_gemma":0.1289878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994683,"about_ca_topic_score_gemma":0.9928006,"domain_scores_codex":[0.9961376,0.000232846,0.0004302277,0.0004379622,0.001854541,0.0009069333],"domain_scores_gemma":[0.965519,0.001010675,0.001027506,0.0008597233,0.02997687,0.001606315],"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":[0.0000318122,0.000008944327,0.001574168,0.0002713295,0.00002436577,0.000006752143,0.00002473792,0.0001004222,0.000008908106,0.0003481369,0.9958019,0.001798648],"study_design_scores_gemma":[0.0002728947,0.00002238697,0.05210633,0.001279762,0.0001059734,0.00003950641,0.0007261945,0.0006120764,0.0002487105,0.0007783946,0.9436873,0.0001204089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007740141,0.00004702425,0.00002094095,0.0001197966,0.00002735221,0.000019967,0.9987634,0.00005130657,0.0008727471],"genre_scores_gemma":[0.001086881,0.0002913584,0.000359067,0.00015199,0.00001922984,0.0001671376,0.9933565,0.00009731198,0.004470549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08298925,"threshold_uncertainty_score":0.3717932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03568376825043693,"score_gpt":0.2603751523365959,"score_spread":0.224691384086159,"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."}}