{"id":"W6976366241","doi":"10.6068/dp14ba8e54ae083","title":"Trend 2001 - 2007. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Persistence of low income, by selected characteristics | Variable: Education level unknown, Low income cut-offs before tax, 1992 base, Number of persons in low income, 4 years in low income | Units: , 2001-2007. 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; Census; Economic statistics; Inequality; Population; Economic inequality; Poverty; Social statistics; 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":[0.002352795,0.0024491,0.002881496,0.008259184,0.003262026,0.004845793,0.005649307,0.00151087,0.09174474],"category_scores_gemma":[0.0187995,0.001849231,0.002346819,0.03760967,0.0005978617,0.002288209,0.002519721,0.003363473,0.04488932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0514925,"about_ca_system_score_gemma":0.1239824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939552,"about_ca_topic_score_gemma":0.9922489,"domain_scores_codex":[0.9961025,0.0002586569,0.0004641342,0.0004529551,0.001777155,0.000944606],"domain_scores_gemma":[0.9666839,0.001304197,0.001069969,0.0009710384,0.02831875,0.001652234],"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":[0.00002532233,0.000006584165,0.001009725,0.0002556677,0.00002083922,0.000005996112,0.00002114881,0.00009202283,0.000006821832,0.0003422203,0.9966995,0.00151411],"study_design_scores_gemma":[0.0002504352,0.00001737108,0.03634838,0.00130449,0.00009623182,0.00003769962,0.0005809657,0.0006021081,0.0002119859,0.0008462286,0.9595847,0.0001194237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005066182,0.00004167363,0.00001845708,0.0001076474,0.00002216813,0.00001653018,0.9989954,0.00004705765,0.0007003593],"genre_scores_gemma":[0.0007920891,0.0002558433,0.0003390517,0.0001448243,0.00001659952,0.0001548917,0.9947772,0.00009487812,0.003424564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09174474,"threshold_uncertainty_score":0.373606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834177930965682,"score_gpt":0.2714949182086794,"score_spread":0.2431531388990226,"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."}}