{"id":"W6920083175","doi":"10.6068/dp14ba8b5af8f58","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: Total labour remuneration, Jewellery, luggage and leather goods stores, Total all 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; 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":[0.001500979,0.00266994,0.002616357,0.00864332,0.002264902,0.004409412,0.005078095,0.001265051,0.06588377],"category_scores_gemma":[0.01250226,0.001590652,0.001986507,0.04240558,0.0005492302,0.002448459,0.001941029,0.002891175,0.06475259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03074101,"about_ca_system_score_gemma":0.07606392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886646,"about_ca_topic_score_gemma":0.986691,"domain_scores_codex":[0.996518,0.0001824944,0.000352843,0.0005083712,0.001640527,0.000797712],"domain_scores_gemma":[0.9744995,0.0007754282,0.000934575,0.0007375642,0.0220165,0.0010363],"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":[0.00002316395,0.000006066362,0.001152463,0.0001884638,0.00001919802,0.000006672973,0.00001333094,0.00009625392,0.000008645257,0.0002012303,0.9971042,0.001180221],"study_design_scores_gemma":[0.0001938867,0.00001599073,0.03617747,0.0008159023,0.00006856535,0.00003262666,0.0004592541,0.0006462491,0.0002143641,0.000517498,0.9607699,0.00008827027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005836308,0.00003293862,0.00001332612,0.00006115552,0.00001703545,0.000007732998,0.9992639,0.00004272337,0.0005028722],"genre_scores_gemma":[0.0004700921,0.0001341999,0.000158655,0.00006346988,0.0000108914,0.00004762364,0.9968842,0.00005380401,0.002177087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06588377,"threshold_uncertainty_score":0.2230427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350574667324221,"score_gpt":0.2469013075790102,"score_spread":0.2133955609057679,"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."}}