{"id":"W6938896684","doi":"10.6068/dp14ba8625c0991","title":"Trend 1981 - 2012. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Detailed household final consumption expenditure | Variable: Jewellery, clocks and watches (x 1,000,000), Current prices | Units: $CAD, 1981-2012. 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":"Consumption (sociology); Official statistics; Economic statistics; National accounts; Summary statistics; Census; Goods and services; Population; Descriptive statistics; Socioeconomic status","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":[0.002197243,0.002461695,0.002657796,0.008501161,0.00353968,0.004856779,0.005094097,0.001465661,0.1043968],"category_scores_gemma":[0.01745758,0.001738638,0.002176184,0.03818703,0.0005850451,0.002540057,0.002444656,0.003190382,0.05697663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05376648,"about_ca_system_score_gemma":0.1226761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99488,"about_ca_topic_score_gemma":0.9933597,"domain_scores_codex":[0.9961038,0.000233466,0.0003745975,0.0004648059,0.001859747,0.0009635973],"domain_scores_gemma":[0.9689888,0.0009703721,0.0008413181,0.0008627697,0.02679785,0.001538897],"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":[0.00002305371,0.000005882607,0.0008954371,0.0002367046,0.00001796792,0.00000610944,0.00002183479,0.00009395902,0.000008332533,0.0004080464,0.9964833,0.001799396],"study_design_scores_gemma":[0.0001435381,0.00001234205,0.0256401,0.0008171443,0.00006376571,0.00002577633,0.0004173742,0.0003908415,0.0001648518,0.0006168375,0.9716197,0.00008785396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005502877,0.00005414856,0.00002395184,0.0001165497,0.00002629797,0.00001576704,0.9986134,0.00005860363,0.001036222],"genre_scores_gemma":[0.0009210601,0.0003108917,0.0004046449,0.000146343,0.00001912537,0.0001357746,0.9927654,0.0001160501,0.005180781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1043968,"threshold_uncertainty_score":0.3901049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05545886147447983,"score_gpt":0.2684128606341072,"score_spread":0.2129539991596274,"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."}}