{"id":"W6976663168","doi":"10.6068/dp14ba896e4758","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Survey of household spending (SHS), household spending | Variable: Average expenditure per household, Purchase of automobiles, vans and trucks | Units: $CAD, 2010-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-120.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Summary statistics; Official statistics; Consumer Expenditure Survey; Descriptive statistics; Census; Population; Household income; Socioeconomic status; Goods and services","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":[0.00220116,0.002554675,0.002708526,0.007830653,0.003344757,0.004740576,0.005304622,0.001429145,0.08169364],"category_scores_gemma":[0.01648087,0.001769077,0.002342795,0.03657947,0.0005805381,0.002501014,0.00248683,0.003316386,0.04785531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05043248,"about_ca_system_score_gemma":0.1112601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942092,"about_ca_topic_score_gemma":0.993067,"domain_scores_codex":[0.9962442,0.0002492182,0.0003995608,0.000449366,0.001735866,0.0009218932],"domain_scores_gemma":[0.9730037,0.0009167047,0.0008048766,0.0007976821,0.02309142,0.001385662],"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":[0.00002515398,0.000006369335,0.001043665,0.0002439201,0.00002043247,0.000006582214,0.00002079908,0.00009094589,0.000007871006,0.0003743298,0.996424,0.001736001],"study_design_scores_gemma":[0.0001722733,0.00001493989,0.03032829,0.001003568,0.0000829541,0.00003219504,0.0005025733,0.0005433465,0.0001855158,0.0007362343,0.9662969,0.00010121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005589165,0.00005315142,0.00002391803,0.0001209652,0.0000255394,0.00001444671,0.9988531,0.00005202341,0.000800947],"genre_scores_gemma":[0.0007555848,0.0002816873,0.0003694868,0.000140017,0.00001617197,0.0001167001,0.9948229,0.0000906116,0.003406891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08169364,"threshold_uncertainty_score":0.365915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706564123687827,"score_gpt":0.2452573088956793,"score_spread":0.2081916676588011,"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."}}