{"id":"W6901658007","doi":"10.6068/dp14ba8ca45ab41","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 shelter | Variable: Mortgage insurance premiums for owned living quarters, Median expenditure per household reporting | 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":"Census; Summary statistics; Economic statistics; Consumer Expenditure Survey; Official statistics; Household income; Descriptive statistics; Population; 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":[0.002296143,0.002480939,0.002721986,0.007649092,0.003309386,0.004624515,0.005263421,0.001396178,0.08588704],"category_scores_gemma":[0.01638526,0.001818611,0.002233109,0.03777915,0.000587436,0.002420933,0.002467226,0.003290822,0.05240846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04995822,"about_ca_system_score_gemma":0.1210105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946119,"about_ca_topic_score_gemma":0.9927995,"domain_scores_codex":[0.9957448,0.0002765894,0.000443227,0.0005099992,0.001981856,0.001043594],"domain_scores_gemma":[0.9714032,0.0009265392,0.0008721975,0.0008537694,0.0244841,0.001460143],"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":[0.00002721098,0.000007014832,0.001170801,0.0002460095,0.00002208346,0.000006882105,0.00002234588,0.00009092531,0.000009025477,0.0003655102,0.9962452,0.001787008],"study_design_scores_gemma":[0.0001730144,0.00001471291,0.0325673,0.0009330079,0.00007692212,0.0000303638,0.0004998277,0.0004634717,0.0001898722,0.0006588625,0.9643009,0.00009173839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005604225,0.00004564988,0.00002164237,0.0001127157,0.00002275759,0.0000147997,0.9988489,0.00004806608,0.0008294167],"genre_scores_gemma":[0.0007840525,0.0002609923,0.0003674286,0.0001383914,0.00001521268,0.0001228725,0.9942306,0.00009402203,0.003986419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08588704,"threshold_uncertainty_score":0.362474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161942015550839,"score_gpt":0.2739174127242927,"score_spread":0.2122979925687843,"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."}}