{"id":"W6958268490","doi":"10.6068/dp14ba8ecf1017","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Children and Youth - Low-Income Families | Country: Canada | Table: Family characteristics, economic dependency profile, by family type and source of income | Variable: Persons not in census families, Number of persons or families, Goods and Services Tax Credit (GST) and Harmonized Sales Tax Credit (HST) | Units: $CAD, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-029.","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; Census; Socioeconomic status; Population; Demographic statistics; Population statistics; Summary statistics; Personal income; Official statistics; 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":[0.002198978,0.002465029,0.002779617,0.007844539,0.003681292,0.004310867,0.005823768,0.001427019,0.09253968],"category_scores_gemma":[0.01727934,0.001919992,0.002359116,0.03400766,0.0005922362,0.002355866,0.002471821,0.003040739,0.04296204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06032126,"about_ca_system_score_gemma":0.1327194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960735,"about_ca_topic_score_gemma":0.9951842,"domain_scores_codex":[0.9965694,0.0002456267,0.0004195983,0.0004461643,0.001490395,0.0008289088],"domain_scores_gemma":[0.9661737,0.001103523,0.001015614,0.0008549046,0.02907486,0.001777291],"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":[0.00003143711,0.00000800961,0.001570712,0.0003081352,0.00002440019,0.000007789151,0.00003308797,0.000104472,0.000008341125,0.0003172208,0.9954506,0.002135813],"study_design_scores_gemma":[0.0002645638,0.00002073537,0.05106014,0.001490684,0.0001153436,0.00004546417,0.0008506176,0.0006271415,0.0002081058,0.0007850715,0.9444046,0.0001274169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008508236,0.00005825116,0.00002639993,0.0001373323,0.00002720825,0.00002516088,0.998667,0.00005526571,0.000918325],"genre_scores_gemma":[0.0012205,0.0003937014,0.0004827025,0.0002164209,0.00002145577,0.0002353281,0.9924758,0.0001098573,0.004844234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09253968,"threshold_uncertainty_score":0.4376634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715561501663767,"score_gpt":0.2298746486160309,"score_spread":0.2127190335993933,"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."}}