{"id":"W6957856248","doi":"10.6068/dp14ba8ac92b082","title":"Trend 1999 - 2009. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Closing inventory, Total all stores, Shoe, clothing accessories and jewellery stores | Units: , 1999-2009. 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":"Retail trade; Census; Economic statistics; Summary statistics; Index (typography); Retail sales; Clothing; Official statistics; Financial 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":[0.001471543,0.002682002,0.00257005,0.008355238,0.002258325,0.004301111,0.005119802,0.001219453,0.06148536],"category_scores_gemma":[0.01173949,0.001524076,0.001916325,0.0415956,0.0005578104,0.002416034,0.001890178,0.002803957,0.06070166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0301233,"about_ca_system_score_gemma":0.07384502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890572,"about_ca_topic_score_gemma":0.986385,"domain_scores_codex":[0.9964528,0.0001764752,0.0003616652,0.000524341,0.001687966,0.0007967688],"domain_scores_gemma":[0.9754137,0.000701261,0.0009178223,0.0007046119,0.02128899,0.00097369],"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":[0.00002887583,0.000007479724,0.001421637,0.000203222,0.00002186389,0.000007990383,0.00001377459,0.0001183529,0.00001078556,0.0002232453,0.9966369,0.001305877],"study_design_scores_gemma":[0.0002134346,0.00001821967,0.04166143,0.0008138959,0.0000704067,0.00003426286,0.0004723734,0.0007065156,0.0002491449,0.0005114952,0.9551589,0.00008980403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006034205,0.00003091797,0.00001296283,0.00005517046,0.00001696433,0.000007804743,0.9992827,0.00003908345,0.0004941449],"genre_scores_gemma":[0.0005052406,0.000129447,0.0001459966,0.00005888702,0.00001039769,0.00004339316,0.9969313,0.000047046,0.002128287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06148536,"threshold_uncertainty_score":0.2185609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501465384155789,"score_gpt":0.2531991470696038,"score_spread":0.2081844932280459,"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."}}