{"id":"W6939336548","doi":"10.6068/dp14ba839763a14","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, Clothing 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; Descriptive statistics; Financial services; Index (typography)","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":[0.001578191,0.002788588,0.002659877,0.008786116,0.002476016,0.004734355,0.005434784,0.001283606,0.07548901],"category_scores_gemma":[0.01247925,0.001669102,0.001855787,0.04279578,0.0005699215,0.00261519,0.0019227,0.002806123,0.07073908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03317218,"about_ca_system_score_gemma":0.08069891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897944,"about_ca_topic_score_gemma":0.9869077,"domain_scores_codex":[0.9962686,0.0001923866,0.000366177,0.0005299778,0.001770167,0.0008726277],"domain_scores_gemma":[0.9728221,0.0007967795,0.0009979781,0.0007754563,0.02346563,0.001142074],"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":[0.00002734367,0.000007398993,0.001254624,0.0001851081,0.00001915304,0.000007443376,0.00001451353,0.0001118406,0.000009569349,0.0002382958,0.9968165,0.001308342],"study_design_scores_gemma":[0.0001879322,0.00001731867,0.0359801,0.0007490277,0.00006147429,0.0000310915,0.0004621232,0.000646224,0.0002246051,0.00051653,0.9610391,0.00008440778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006079611,0.00002875203,0.00001462189,0.00005771269,0.00001674299,0.000008937757,0.9991709,0.00004453584,0.0005970274],"genre_scores_gemma":[0.0005011378,0.0001287877,0.0001584878,0.00006081785,0.00001023895,0.00004963936,0.9964293,0.00005774869,0.002603903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07548901,"threshold_uncertainty_score":0.2525359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330182453114385,"score_gpt":0.2407460268241297,"score_spread":0.2077277815126912,"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."}}