{"id":"W6901506943","doi":"10.6068/dp14ba84dfe2956","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, Clothing 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; Descriptive statistics; Retail sales; Index (typography); Summary statistics; 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":[0.00144287,0.002638972,0.002552434,0.008582941,0.002249232,0.004682411,0.005173235,0.001331721,0.0797547],"category_scores_gemma":[0.01280585,0.001542076,0.001853922,0.04159662,0.0005560399,0.00261701,0.002030979,0.002783697,0.08102674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02689045,"about_ca_system_score_gemma":0.06429449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852794,"about_ca_topic_score_gemma":0.9828615,"domain_scores_codex":[0.9967693,0.0001749491,0.0003056388,0.0004915013,0.001473143,0.0007854677],"domain_scores_gemma":[0.97657,0.0008454252,0.0008888043,0.0008157165,0.019802,0.001078017],"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":[0.00002023532,0.000005682151,0.0009337227,0.0001560458,0.00001542624,0.000006021544,0.0000122519,0.00009191076,0.000007526005,0.0001920934,0.9975042,0.001054977],"study_design_scores_gemma":[0.0001681945,0.00001378091,0.02498956,0.0006705917,0.00005156719,0.00002742618,0.0003850204,0.0005953758,0.0001769077,0.0005279234,0.9723148,0.00007893599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004814152,0.00002541939,0.0000131597,0.00005055114,0.00001468746,0.000006733303,0.9993153,0.00004598005,0.0004801257],"genre_scores_gemma":[0.0003762883,0.0001002117,0.0001387171,0.00005078314,0.000009063919,0.00004173826,0.9973837,0.00005605859,0.001843504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0797547,"threshold_uncertainty_score":0.266806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464214601208009,"score_gpt":0.2492911425678707,"score_spread":0.2146489965557906,"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."}}