{"id":"W6920543803","doi":"10.6068/dp14ba8211af884","title":"Trend 2008 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by North American Industry Classification System (NAICS) and store type | Variable: Purchases, Retail trade, Non-chain stores | Units: , 2008-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-177.","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; Economic statistics; Retail trade; Retail sales; Summary statistics; Index (typography); Retail industry; Financial services; Official statistics","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":[0.00147281,0.002584189,0.002550542,0.008392346,0.002401672,0.004635166,0.005123904,0.001289884,0.07768272],"category_scores_gemma":[0.0125645,0.001537171,0.001889487,0.04077717,0.0005808477,0.002609366,0.001951343,0.002768761,0.07251108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03112496,"about_ca_system_score_gemma":0.07991502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894688,"about_ca_topic_score_gemma":0.986993,"domain_scores_codex":[0.996673,0.0001733677,0.0003046548,0.0004735925,0.001558847,0.0008166067],"domain_scores_gemma":[0.9756728,0.0007825255,0.000852656,0.0007255367,0.02087616,0.001090382],"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":[0.00002094508,0.000005676513,0.001004329,0.0001658855,0.00001613874,0.000006474298,0.00001349146,0.00009721932,0.000008070237,0.0002288773,0.9972778,0.001155145],"study_design_scores_gemma":[0.0001656094,0.00001418707,0.02760156,0.0007314001,0.00005709003,0.00002972482,0.0004404288,0.0006035041,0.0001963399,0.0005454181,0.9695315,0.00008307921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000542622,0.00003017694,0.00001521108,0.00006391566,0.0000161376,0.000007774811,0.9991806,0.00004800539,0.0005838593],"genre_scores_gemma":[0.0005166589,0.0001392755,0.0001900913,0.00006955741,0.0000112228,0.00005158924,0.9963813,0.00006911386,0.002571265],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07768272,"threshold_uncertainty_score":0.2598746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03651348988546347,"score_gpt":0.2472685443229834,"score_spread":0.2107550544375199,"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."}}