{"id":"W6957769182","doi":"10.6068/dp14ba8a4d73e4","title":"Trend 1999 - 2004. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Total expenses, Non-chain stores, Shoe, clothing accessories and jewellery stores | Units: , 1999-2004. 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; Summary statistics; Retail sales; Official statistics; Clothing; Descriptive 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":[0.001471118,0.002745897,0.002581391,0.008693146,0.002309219,0.004322543,0.005109897,0.00123448,0.05944334],"category_scores_gemma":[0.01192507,0.001552579,0.00185686,0.04222658,0.0005725237,0.002391666,0.00182618,0.002784062,0.0593772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03201029,"about_ca_system_score_gemma":0.07747097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898137,"about_ca_topic_score_gemma":0.987282,"domain_scores_codex":[0.9964579,0.0001807117,0.0003550976,0.0005251379,0.001676503,0.0008046502],"domain_scores_gemma":[0.9746449,0.0007404485,0.0009806458,0.0007199782,0.02187724,0.001036817],"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":[0.00002838131,0.000007319253,0.001372312,0.0001942626,0.00002135109,0.000007733577,0.00001371248,0.0001173876,0.00001030991,0.000213543,0.9967879,0.001225925],"study_design_scores_gemma":[0.000204002,0.00001776178,0.04003743,0.0007640903,0.00006935308,0.00003313373,0.0004668063,0.000697819,0.0002445884,0.0004809086,0.9568983,0.00008585657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006308011,0.00003166182,0.0000128847,0.00005584145,0.00001636802,0.000007843199,0.9992759,0.00004077589,0.0004957083],"genre_scores_gemma":[0.0004924656,0.0001261533,0.0001375613,0.00005601163,0.000009792466,0.00004152028,0.9969664,0.00004458487,0.002125544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05944334,"threshold_uncertainty_score":0.232252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03513445875503531,"score_gpt":0.2451991402727077,"score_spread":0.2100646815176724,"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."}}