{"id":"W6920348230","doi":"10.6068/dp14baa37dccf60","title":"Trend 1997 - 2008. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Province: Saskatchewan | Table: Household spending on prescription drugs as a percentage of after-tax income | Variable: Spending on prescription drugs greater than 0% of after tax income | Units: %, 1997-2008. 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":"Taxable income; Economic statistics; Socioeconomic status; Census; Official statistics; Population; Summary statistics; Household income; Goods and services; Personal income","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":[0.002314444,0.002475131,0.002691244,0.007574108,0.003123518,0.004514565,0.00523717,0.001396623,0.09254151],"category_scores_gemma":[0.01648235,0.001876304,0.002224448,0.0366845,0.0005663705,0.002420264,0.002387583,0.003302727,0.05277208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05269408,"about_ca_system_score_gemma":0.119788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939621,"about_ca_topic_score_gemma":0.9922364,"domain_scores_codex":[0.9961519,0.0002611834,0.0004234196,0.0004627478,0.001766346,0.0009344571],"domain_scores_gemma":[0.9705266,0.000980804,0.0008473349,0.0008614915,0.02532897,0.001454856],"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":[0.00002580371,0.000006223975,0.001015024,0.0002332086,0.00002104305,0.000006071123,0.0000215295,0.00008990471,0.00000813102,0.0003804703,0.996467,0.001725535],"study_design_scores_gemma":[0.0001947162,0.00001494792,0.03066624,0.0009897506,0.00007925132,0.00002946877,0.0005056796,0.0004567376,0.0001882846,0.0007398775,0.9660413,0.00009378446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005504121,0.00004669149,0.00002219666,0.0001171925,0.00002419019,0.00001606384,0.9987791,0.00005059335,0.0008889671],"genre_scores_gemma":[0.0008125414,0.0002859148,0.0003916984,0.0001564783,0.00001618397,0.0001497079,0.9936772,0.000106929,0.004403339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09254151,"threshold_uncertainty_score":0.3823241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256628818426424,"score_gpt":0.2401744594946271,"score_spread":0.2176081713103628,"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."}}