{"id":"W6939357661","doi":"10.6068/dp14ba8810b0861","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: Total labour remuneration, Food and beverage 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Retail trade; Economic statistics; Retail sales; Summary statistics; Index (typography); Retail industry; Financial services; Official statistics","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":[0.001474345,0.002691244,0.002660513,0.008461406,0.002342533,0.004650872,0.005196707,0.001309661,0.07364404],"category_scores_gemma":[0.01275545,0.001589924,0.00191197,0.04210412,0.0005732029,0.002618652,0.001997861,0.002888787,0.07318968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02907979,"about_ca_system_score_gemma":0.07101235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987065,"about_ca_topic_score_gemma":0.9850114,"domain_scores_codex":[0.9965603,0.0001839813,0.0003475853,0.0005137046,0.001582229,0.000812149],"domain_scores_gemma":[0.9751124,0.0008278132,0.0009554487,0.000769686,0.02124265,0.001092084],"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":[0.00002187472,0.000006024988,0.001063584,0.0001786951,0.0000174515,0.00000644994,0.00001351951,0.00009586001,0.000008199822,0.0002096169,0.9972583,0.001120297],"study_design_scores_gemma":[0.0001744112,0.00001548859,0.03055566,0.0007823072,0.00005980545,0.00003031243,0.0004470147,0.0006135798,0.0001976227,0.0005334248,0.9665049,0.00008551365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005362763,0.00002912285,0.00001353273,0.00005787232,0.00001603159,0.000007411196,0.9992844,0.00004172809,0.0004962281],"genre_scores_gemma":[0.0004331508,0.0001254015,0.0001495566,0.00005972352,0.00001017384,0.00004696801,0.9970468,0.00005440928,0.002074001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07364404,"threshold_uncertainty_score":0.2463639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726731917207294,"score_gpt":0.2208820500303123,"score_spread":0.1936147308582393,"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."}}