{"id":"W6957849043","doi":"10.6068/dp14ba84df67b54","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 operating revenue, Retail trade, 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; Economic statistics; Retail trade; Retail sales; Summary statistics; Index (typography); Retail industry; 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":[0.001413117,0.002621865,0.002579786,0.008412556,0.002328855,0.004673699,0.005135936,0.001273778,0.07192205],"category_scores_gemma":[0.01214722,0.001510357,0.001847593,0.04103954,0.0005920993,0.002614939,0.001969205,0.002801532,0.0728017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03037164,"about_ca_system_score_gemma":0.07300941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881284,"about_ca_topic_score_gemma":0.9856022,"domain_scores_codex":[0.9966834,0.0001741786,0.0003041102,0.0005026999,0.001518977,0.0008166176],"domain_scores_gemma":[0.9762993,0.000794356,0.0008894626,0.0007615061,0.02019771,0.001057612],"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":[0.00002103823,0.000005857632,0.001018187,0.0001561175,0.00001653333,0.000006594203,0.00001278084,0.00009941422,0.000008117447,0.0002240195,0.9973046,0.001126778],"study_design_scores_gemma":[0.0001562982,0.00001366386,0.02545471,0.0006686103,0.00005199937,0.00002885382,0.0004001145,0.0006253176,0.0001942631,0.000534021,0.9717914,0.00008068242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005433855,0.00002986086,0.00001476885,0.00006007752,0.00001557827,0.000006829097,0.9992371,0.00004754428,0.0005340168],"genre_scores_gemma":[0.0004654773,0.0001258882,0.0001651758,0.00006079389,0.000009903736,0.00004350905,0.9968635,0.00006045117,0.00220525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07192205,"threshold_uncertainty_score":0.2406032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336154087865399,"score_gpt":0.2469519102466187,"score_spread":0.2135903693679648,"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."}}