{"id":"W6957797091","doi":"10.6068/dp14ba88d456071","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: Sales by square foot, Furniture and home furnishings stores, 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; Retail trade; Retail sales; Economic statistics; Descriptive statistics; Summary statistics; Index (typography); Financial services; Retail industry","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":[0.001380904,0.002620237,0.002583322,0.008180045,0.002228566,0.004516475,0.005189009,0.001321346,0.0725065],"category_scores_gemma":[0.01257547,0.001500811,0.001847465,0.039251,0.0005768242,0.002513195,0.001929033,0.002821255,0.07595266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02517537,"about_ca_system_score_gemma":0.06068502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842669,"about_ca_topic_score_gemma":0.9822515,"domain_scores_codex":[0.9969922,0.0001681418,0.0003011939,0.0004838958,0.00132384,0.0007306664],"domain_scores_gemma":[0.9783822,0.0008134943,0.0008632701,0.000775351,0.01818093,0.0009848113],"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":[0.00002114609,0.000005474347,0.0009654715,0.000162351,0.00001650931,0.000006259853,0.00001173508,0.00009596236,0.000007637864,0.0001900974,0.9975064,0.001010972],"study_design_scores_gemma":[0.000194395,0.00001478248,0.02679885,0.0007444228,0.00005852442,0.00003131367,0.0004037869,0.000639377,0.0001853517,0.0005569903,0.9702899,0.00008234176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000483632,0.00002700122,0.00001260842,0.00005314719,0.0000147825,0.000006172962,0.9993718,0.00004330125,0.0004227804],"genre_scores_gemma":[0.0003747985,0.0001022616,0.0001266543,0.00005148228,0.000009418744,0.00003866416,0.9976058,0.00004925703,0.001641614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0725065,"threshold_uncertainty_score":0.2425584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109615752807545,"score_gpt":0.2404078287620889,"score_spread":0.2093116712340134,"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."}}