{"id":"W6901438646","doi":"10.6068/dp14ba8e9487e18","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Family characteristics, by family type and sources of income | Variable: Number in family type, All family types, Goods and Services Tax Credit (GST) and Harmonized Sales Tax (HST) Credit | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-119.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personal income; Economic statistics; Total personal income; Socioeconomic status; Family income; Gross income; Population; Household income; Census; Official statistics","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":[0.002087246,0.002429684,0.002703181,0.007938024,0.003191993,0.004630019,0.005277487,0.001406303,0.07437015],"category_scores_gemma":[0.01768707,0.001731819,0.002148674,0.03781912,0.0006062083,0.002356804,0.002477366,0.003237238,0.04395567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05219952,"about_ca_system_score_gemma":0.1134461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993721,"about_ca_topic_score_gemma":0.9923267,"domain_scores_codex":[0.9964067,0.0002484834,0.0004276083,0.0004990631,0.001593676,0.0008244237],"domain_scores_gemma":[0.9695688,0.001133449,0.0009732154,0.0009338913,0.02604743,0.001343173],"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":[0.00002639563,0.000006324388,0.001258086,0.0002733139,0.00002434209,0.000007258751,0.00002478472,0.0001124166,0.000008153088,0.0003867446,0.9961629,0.001709265],"study_design_scores_gemma":[0.0001775852,0.00001279216,0.03225472,0.001044343,0.00008552179,0.00003409536,0.000494459,0.0005186068,0.0001893134,0.0007503576,0.9643384,0.00009975139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005542813,0.00004849327,0.00001964696,0.00009744756,0.00001880788,0.00001277972,0.9990729,0.00004482786,0.0006296568],"genre_scores_gemma":[0.0007258002,0.000233463,0.0003002353,0.0001070424,0.00001260766,0.0001118496,0.9956483,0.0000714943,0.002789127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07437015,"threshold_uncertainty_score":0.3787358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958811274999859,"score_gpt":0.2487695957099769,"score_spread":0.2191814829599784,"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."}}