{"id":"W6920265359","doi":"10.6068/dp14ba85d0b5d92","title":"Trend 2008 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by North American Industry Classification System (NAICS) and store type | Variable: Sales of goods for resale, Grocery stores, Total all stores | Units: , 2008-2011. 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":"Census; Retail trade; Retail sales; Economic statistics; Summary statistics; Index (typography); Retail industry; Financial services; Goods and 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":[0.001506682,0.002610245,0.00261703,0.008425047,0.002322027,0.004642055,0.005275356,0.001313302,0.07711902],"category_scores_gemma":[0.01286937,0.001589475,0.001887458,0.04135987,0.0005577195,0.002601923,0.001966458,0.002866116,0.07489037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02866631,"about_ca_system_score_gemma":0.07074545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864075,"about_ca_topic_score_gemma":0.9842544,"domain_scores_codex":[0.9965951,0.0001819038,0.0003363437,0.0004997819,0.001587881,0.0007989188],"domain_scores_gemma":[0.9749658,0.000841564,0.0009417487,0.0007896381,0.02138267,0.001078571],"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":[0.00002205952,0.000006137222,0.00104858,0.000165582,0.00001686903,0.000006293113,0.00001267203,0.00009465447,0.000007822568,0.000211486,0.9972425,0.001165466],"study_design_scores_gemma":[0.0001780017,0.0000156732,0.0303036,0.0007560753,0.00005949236,0.00003023057,0.00042548,0.0006266874,0.000192921,0.0005692233,0.9667586,0.00008388056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005455306,0.00002828972,0.00001434208,0.0000588554,0.00001631254,0.000007720126,0.9992478,0.00004405859,0.0005280334],"genre_scores_gemma":[0.000436517,0.0001208784,0.0001556965,0.00006178726,0.00001046236,0.00004822577,0.9969435,0.00005744434,0.002165474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07711902,"threshold_uncertainty_score":0.2579888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04422880160030341,"score_gpt":0.2608692910640766,"score_spread":0.2166404894637732,"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."}}