{"id":"W6920214024","doi":"10.6068/dp14ba8cf4d4874","title":"Trend 2002 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Persons in low income families | Variable: Market basket measure, 2011 base, Persons 18 to 64 years in economic familiesage of persons in low income | Units: , 2002-2011. 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; Economic statistics; Socioeconomic status; Economic inequality; Population; Demographic statistics; Census; Low income; Personal income; Household income","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":[0.002247271,0.002488444,0.002865623,0.007981385,0.003356381,0.005205332,0.005630866,0.001532414,0.08364495],"category_scores_gemma":[0.01855045,0.00194537,0.002421006,0.03904032,0.0006145334,0.00244621,0.002572058,0.003368682,0.04625928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05336386,"about_ca_system_score_gemma":0.1229598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939345,"about_ca_topic_score_gemma":0.9925429,"domain_scores_codex":[0.9960111,0.0002634347,0.0004610786,0.0004785418,0.001849595,0.0009362517],"domain_scores_gemma":[0.9660181,0.001122001,0.0009884515,0.001021633,0.02921092,0.001638824],"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":[0.00002752669,0.000007029403,0.001130497,0.0002628428,0.00002270756,0.00000649966,0.00002204816,0.00009442616,0.000008360745,0.0003474264,0.9963515,0.001719112],"study_design_scores_gemma":[0.0002038778,0.00001524595,0.03254392,0.001147595,0.00009334329,0.0000344911,0.0005253318,0.0005272621,0.0002135983,0.0007674037,0.9638169,0.0001110412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005317784,0.00004908465,0.00002239687,0.0001165392,0.0000250567,0.00001732989,0.998913,0.000054737,0.0007486736],"genre_scores_gemma":[0.0008187669,0.0002850244,0.0004065683,0.0001550628,0.00001799279,0.0001559577,0.9943917,0.0001042069,0.003664744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08364495,"threshold_uncertainty_score":0.3871837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907901017918596,"score_gpt":0.2521656143246854,"score_spread":0.2230866041454994,"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."}}