{"id":"W6920239237","doi":"10.6068/dp14baa3be8a261","title":"Trend 1999 - 2008. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Province: Northwest Territories | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Closing inventory, Chain stores, Clothing stores | Units: , 1999-2008. 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; Retail sales; Summary statistics; Index (typography); Official statistics; Goods and services; Descriptive 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":[0.001444001,0.002715942,0.002592245,0.008456703,0.00226635,0.004521719,0.005195447,0.00131638,0.06941337],"category_scores_gemma":[0.01229169,0.001572662,0.001810046,0.04069663,0.0005760671,0.00249846,0.001903787,0.002800348,0.07079847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02737512,"about_ca_system_score_gemma":0.06582863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861599,"about_ca_topic_score_gemma":0.9829957,"domain_scores_codex":[0.9966729,0.0001739975,0.0003312223,0.0005272846,0.001517655,0.0007768304],"domain_scores_gemma":[0.9763266,0.0007961772,0.0009211416,0.000766311,0.0201835,0.001006286],"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":[0.00002437692,0.000006497194,0.001154713,0.0001680241,0.00001788166,0.000007039272,0.00001262283,0.0001062879,0.000008724589,0.0002077062,0.9971967,0.001089391],"study_design_scores_gemma":[0.0002106428,0.00001686627,0.03221738,0.00073093,0.0000573103,0.00003157923,0.0004222459,0.0006759772,0.0002179971,0.0005364096,0.9647989,0.00008373208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005131292,0.00002484241,0.00001213733,0.00004923866,0.00001464558,0.000006915463,0.9993369,0.00003931361,0.0004646567],"genre_scores_gemma":[0.0004029933,0.0001000876,0.0001261589,0.00005079957,0.000009121117,0.00004166081,0.9973659,0.00004743447,0.001855914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06941337,"threshold_uncertainty_score":0.2322108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275640547150891,"score_gpt":0.2394129997241755,"score_spread":0.2066565942526666,"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."}}