{"id":"W6901648917","doi":"10.6068/dp14ba8520ad141","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, 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":[0.001404107,0.002647354,0.002559651,0.008067057,0.002302322,0.004490761,0.005217764,0.001261424,0.06822993],"category_scores_gemma":[0.01171259,0.001516339,0.001827573,0.03905001,0.0005756376,0.002494564,0.001885588,0.00274657,0.07016606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02695536,"about_ca_system_score_gemma":0.06531349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869635,"about_ca_topic_score_gemma":0.9843104,"domain_scores_codex":[0.9968258,0.0001654426,0.0003152887,0.0004922361,0.001447058,0.0007542881],"domain_scores_gemma":[0.9778849,0.0007063246,0.0008570586,0.0007253389,0.01886215,0.000964088],"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":[0.0000269573,0.000006742906,0.001183532,0.0001765375,0.00001899732,0.000007460827,0.00001293718,0.0001116038,0.000009535811,0.0002201445,0.9970643,0.001161314],"study_design_scores_gemma":[0.0002122931,0.0000173951,0.03393485,0.0007542758,0.00006208452,0.0000334129,0.0004416432,0.000698311,0.0002280433,0.0005517132,0.9629771,0.0000887752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005488256,0.00002624394,0.0000130964,0.00005151016,0.0000157026,0.000007291599,0.9993148,0.00004118852,0.0004752565],"genre_scores_gemma":[0.0004328924,0.0001069668,0.0001329796,0.00005149002,0.000009337525,0.00003979934,0.9972669,0.00004850353,0.001911117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06822993,"threshold_uncertainty_score":0.2282519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04150670411495835,"score_gpt":0.2537689766028799,"score_spread":0.2122622724879216,"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."}}