{"id":"W6939151685","doi":"10.6068/dp14baa39b0ee40","title":"Trend 2004 - 2009. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Province: British Columbia | 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, Chain stores, Beer, wine and liquor stores | Units: , 2004-2009. 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; Index (typography); Retail sales; Summary statistics; Year-ending; Goods and services; 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":[0.001408703,0.002729661,0.002676131,0.008214082,0.00224877,0.004292319,0.005066751,0.001274121,0.06642075],"category_scores_gemma":[0.01222555,0.001555794,0.001900325,0.04080613,0.000563338,0.002291981,0.001802965,0.00270515,0.06622597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0303051,"about_ca_system_score_gemma":0.0720631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884253,"about_ca_topic_score_gemma":0.9860116,"domain_scores_codex":[0.9966784,0.0001760588,0.0003564788,0.000521921,0.001515167,0.0007520068],"domain_scores_gemma":[0.9757722,0.0007724515,0.0009325015,0.0007603684,0.02073522,0.001027297],"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":[0.00002663106,0.000006335712,0.001168632,0.0001873099,0.00001965086,0.000006751255,0.00001175647,0.0001058134,0.000009941131,0.0001807944,0.9971874,0.001088858],"study_design_scores_gemma":[0.0002280422,0.00001769611,0.03718166,0.000826738,0.00007131703,0.00003173284,0.0004311925,0.0006812122,0.0002479422,0.0004980728,0.9596932,0.0000911917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005580468,0.00002861481,0.00001125102,0.00005144828,0.00001613785,0.000007020557,0.9993201,0.00004019016,0.0004695066],"genre_scores_gemma":[0.0004795319,0.000120437,0.0001382937,0.00005933461,0.00001027143,0.00004636469,0.9969331,0.00004915912,0.002163455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06642075,"threshold_uncertainty_score":0.2221996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829663672609423,"score_gpt":0.2303254200364342,"score_spread":0.2020287833103399,"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."}}