{"id":"W6920634239","doi":"10.6068/dp14ba8a4adbf86","title":"Trend 1997 - 2009. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Survey of household spending (SHS), household spending on transportation | Variable: Average expenditure, City or commuter bus, subway, street car and commuter train | Units: , 1997-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-120.","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; Official statistics; Census; Summary statistics; Household income; Socioeconomic status; Goods and services; Population; National accounts; Consumer Expenditure Survey","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":[0.002159713,0.002427362,0.002657468,0.007358759,0.003317836,0.004533342,0.005144412,0.00134916,0.08371063],"category_scores_gemma":[0.01576229,0.001758311,0.002118283,0.0360295,0.0005773657,0.002377807,0.002379043,0.003245874,0.05055852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04968839,"about_ca_system_score_gemma":0.1147288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946848,"about_ca_topic_score_gemma":0.9931695,"domain_scores_codex":[0.9961131,0.0002555251,0.0004080693,0.0004725164,0.00180857,0.0009422004],"domain_scores_gemma":[0.9734793,0.0008827014,0.0007697531,0.0007718389,0.02273204,0.0013644],"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":[0.00002507292,0.000006704414,0.001106921,0.0002219659,0.00001995321,0.0000063088,0.00002166155,0.00008781296,0.000007856148,0.0003637762,0.9964617,0.001670292],"study_design_scores_gemma":[0.0001772693,0.00001501871,0.03346033,0.0009161744,0.00007553578,0.00002967418,0.0005259592,0.0005048268,0.0001843645,0.0007040282,0.9633124,0.00009453776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000056455,0.00004256902,0.00002131812,0.0001067922,0.00002230762,0.00001513102,0.9988987,0.00004652288,0.0007901429],"genre_scores_gemma":[0.000783816,0.0002418089,0.0003361182,0.0001319803,0.00001470064,0.0001263903,0.9946548,0.0000868414,0.003623487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08371063,"threshold_uncertainty_score":0.3605162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06615947791508599,"score_gpt":0.266664229499917,"score_spread":0.2005047515848311,"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."}}