{"id":"W6976626667","doi":"10.6068/dp14ba8932e1310","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: Cost of goods sold, Furniture and home furnishings stores, 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; Retail trade; Economic statistics; Retail sales; Summary statistics; Index (typography); Retail industry; Financial services; Goods and 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":[0.001375854,0.002703412,0.002587181,0.008428816,0.00210903,0.004434125,0.00517872,0.001318338,0.06623322],"category_scores_gemma":[0.01222908,0.001518452,0.001840112,0.04018101,0.000562121,0.002466578,0.001865882,0.002857961,0.07196392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0259365,"about_ca_system_score_gemma":0.06014288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843289,"about_ca_topic_score_gemma":0.9820949,"domain_scores_codex":[0.9968724,0.0001669902,0.0003108387,0.0004975233,0.001421419,0.0007308929],"domain_scores_gemma":[0.9780895,0.0008026549,0.0008990603,0.0007448803,0.01848243,0.0009814545],"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":[0.00001978851,0.000005669822,0.0009348229,0.0001570892,0.0000162974,0.000005988994,0.00001096925,0.00009445785,0.000007615288,0.0001849841,0.9975712,0.0009912498],"study_design_scores_gemma":[0.0001939589,0.00001446179,0.02689178,0.0007037362,0.00005732758,0.00003004806,0.0003830461,0.0006715681,0.000197109,0.0005309182,0.9702448,0.00008119943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004988135,0.00002828377,0.00001232,0.00005174952,0.00001458441,0.000006121236,0.9993674,0.00004304156,0.0004267095],"genre_scores_gemma":[0.0003639594,0.0001016708,0.0001227664,0.00004944279,0.000009246918,0.00003701262,0.9976612,0.00004612177,0.00160856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06623322,"threshold_uncertainty_score":0.2215722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127683789839564,"score_gpt":0.2450820086061421,"score_spread":0.2138051707077464,"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."}}