{"id":"W6920456239","doi":"10.6068/dp14ba89f504616","title":"Trend 1999 - 2009. 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: Number of stores, Chain stores, Shoe, clothing accessories and jewellery stores | Units: , 1999-2009. 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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001460462,0.002643748,0.002560629,0.008329202,0.002263792,0.004254094,0.005141206,0.001205333,0.06148304],"category_scores_gemma":[0.01185045,0.001523664,0.00189091,0.04183913,0.0005543697,0.002391393,0.001854309,0.002785153,0.05976149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03061912,"about_ca_system_score_gemma":0.0753365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894602,"about_ca_topic_score_gemma":0.9869989,"domain_scores_codex":[0.9964913,0.000176339,0.0003592512,0.0005145154,0.001668945,0.0007897698],"domain_scores_gemma":[0.9751731,0.0007120009,0.0009266515,0.000705007,0.02149498,0.0009882307],"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":[0.00002868562,0.000007365081,0.001389568,0.0001994927,0.00002140563,0.000007806112,0.00001364643,0.0001154951,0.00001045851,0.0002214102,0.9967052,0.001279446],"study_design_scores_gemma":[0.0002194055,0.00001830784,0.04217299,0.0008154962,0.00007143026,0.00003474907,0.0004792261,0.0007124589,0.0002494293,0.0005180782,0.9546173,0.00009104886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006082072,0.00003070723,0.00001288875,0.00005511378,0.00001664094,0.000008000731,0.9992809,0.00003950621,0.0004955231],"genre_scores_gemma":[0.0005055721,0.0001293036,0.000147014,0.00005859948,0.00001019155,0.00004360503,0.9969383,0.0000472219,0.002120148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.938517,"threshold_uncertainty_score":0.2221583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614662621973093,"score_gpt":0.25300119694347,"score_spread":0.216854570723739,"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."}}