{"id":"W6920592605","doi":"10.6068/dp14ba8397c3316","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, Total all 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; Index (typography); 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":[0.001536562,0.002782917,0.002661716,0.008715178,0.002514593,0.004786623,0.005418665,0.00128893,0.07644831],"category_scores_gemma":[0.01243911,0.001664289,0.001865461,0.04288181,0.0005784908,0.002656587,0.001958608,0.002809748,0.07248842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03242071,"about_ca_system_score_gemma":0.08005645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895478,"about_ca_topic_score_gemma":0.9866274,"domain_scores_codex":[0.9963388,0.0001823508,0.000354082,0.0005280945,0.001725483,0.000871096],"domain_scores_gemma":[0.972666,0.0007769536,0.0009853934,0.0007864562,0.0236526,0.001132635],"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":[0.00002633063,0.000007151782,0.001214783,0.0001796346,0.00001827939,0.000007248883,0.00001423941,0.0001073144,0.000009383579,0.0002276807,0.9968886,0.001299368],"study_design_scores_gemma":[0.0001840661,0.00001658843,0.03455457,0.0007313768,0.0000601018,0.00003022007,0.0004508957,0.0006296516,0.0002212822,0.0005027197,0.962535,0.00008356557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005921172,0.00002758384,0.00001454196,0.00005670048,0.00001653435,0.000008834126,0.9991766,0.00004537626,0.0005946626],"genre_scores_gemma":[0.0004890061,0.0001265155,0.0001601293,0.00005978021,0.00001028785,0.00005051778,0.996443,0.00005893018,0.002601875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07644831,"threshold_uncertainty_score":0.2557451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816708917304164,"score_gpt":0.245526378904651,"score_spread":0.2073592897316093,"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."}}