{"id":"W6920443832","doi":"10.6068/dp14ba860bc5143","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: Sales of goods for resale, Non-chain stores, Clothing 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; Goods and services; 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":[0.001413444,0.002703928,0.002568545,0.008279566,0.002220914,0.004435228,0.005208535,0.001255468,0.06460287],"category_scores_gemma":[0.01163787,0.001522166,0.001808388,0.0398813,0.0005654487,0.00244147,0.001846448,0.002795738,0.06949743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02695849,"about_ca_system_score_gemma":0.06392679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863065,"about_ca_topic_score_gemma":0.9835377,"domain_scores_codex":[0.9967607,0.0001678683,0.0003210177,0.0005110999,0.001493493,0.0007458214],"domain_scores_gemma":[0.9778401,0.0007141049,0.0008633873,0.0007202418,0.01890107,0.0009609853],"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":[0.00002548145,0.00000662928,0.001106942,0.0001721202,0.00001857565,0.000007060951,0.00001206562,0.0001038719,0.000009511694,0.0002068975,0.9972161,0.0011147],"study_design_scores_gemma":[0.0002066409,0.00001617764,0.03225315,0.0007101595,0.00005933045,0.0000315189,0.0004081628,0.0006862377,0.0002293963,0.000521612,0.9647924,0.00008517478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005200888,0.00002659134,0.00001246882,0.0000485153,0.00001554278,0.000006929427,0.999339,0.00003998966,0.0004589437],"genre_scores_gemma":[0.0003911442,0.0001006239,0.0001253155,0.00004808874,0.000008878995,0.00003807246,0.9974478,0.00004538133,0.001794562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06460287,"threshold_uncertainty_score":0.2161181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03848495219483704,"score_gpt":0.2528022829947924,"score_spread":0.2143173307999554,"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."}}