{"id":"W6957869030","doi":"10.6068/dp14ba8c5f3c692","title":"Trend 1997 - 2009. Statistics Canada. CANSIM: Families, Households and Housing - Household Characteristics | Country: Canada | Table: Survey of household spending (SHS), household spending on shelter | Variable: Homeowners' 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: 075-001-099.","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; Household income; Descriptive statistics; Summary statistics; Economic statistics; Population; Socioeconomic status; Official statistics; Social security; Standard of living","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":[0.002330702,0.002513514,0.002725983,0.00774447,0.003579187,0.004376397,0.005907654,0.001335204,0.07668985],"category_scores_gemma":[0.01658382,0.001834111,0.002309798,0.03827361,0.0006153593,0.002371371,0.002580511,0.003216856,0.03916847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05688398,"about_ca_system_score_gemma":0.1337369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963643,"about_ca_topic_score_gemma":0.9952549,"domain_scores_codex":[0.995659,0.0002869583,0.0004471682,0.0005369648,0.002001427,0.001068561],"domain_scores_gemma":[0.9693425,0.0009552306,0.0009495919,0.0008986351,0.02627966,0.001574338],"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":[0.00003277565,0.000008937604,0.001734729,0.0003120927,0.0000298243,0.000009422954,0.00003478531,0.0001166498,0.00001172775,0.0004327759,0.9951321,0.002144082],"study_design_scores_gemma":[0.0001859098,0.00001909369,0.04775939,0.001086095,0.0001006114,0.00003794106,0.0007731292,0.0005716742,0.0002243619,0.0007297455,0.9484013,0.0001106359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008040285,0.0000527878,0.00002825452,0.000117486,0.00002472244,0.00001813908,0.9988042,0.00004817659,0.000825896],"genre_scores_gemma":[0.001127928,0.0003211705,0.0004960643,0.0001550911,0.00001664532,0.0001540355,0.9930734,0.00009462101,0.004561137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07668985,"threshold_uncertainty_score":0.4127241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586817985397155,"score_gpt":0.2591266819818061,"score_spread":0.2032585021278346,"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."}}