{"id":"W6919837891","doi":"10.6068/dp14ba868448440","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 operating expenses, Convenience 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; Economic statistics; Retail trade; Retail sales; Summary statistics; Index (typography); Official statistics; Financial services; Retail industry","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":[0.001402154,0.002623353,0.002533694,0.008409446,0.002217916,0.004675696,0.005165246,0.001345775,0.07172836],"category_scores_gemma":[0.01242215,0.001545382,0.001863068,0.04068793,0.0005878768,0.002588056,0.002016852,0.002824799,0.07604258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02853635,"about_ca_system_score_gemma":0.06756625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866481,"about_ca_topic_score_gemma":0.9847065,"domain_scores_codex":[0.9968478,0.000169213,0.0002941867,0.0004914636,0.001422435,0.0007748803],"domain_scores_gemma":[0.977336,0.0008216829,0.000874566,0.0007990659,0.01913339,0.001035251],"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":[0.00001888642,0.000005400305,0.0009412877,0.000154535,0.00001578122,0.000006275383,0.00001242346,0.00009862969,0.000007619154,0.0002096331,0.997516,0.001013481],"study_design_scores_gemma":[0.0001538286,0.00001235062,0.02293373,0.0006730152,0.00005042718,0.00002746656,0.0003816143,0.0006083938,0.0001808461,0.0005211658,0.974379,0.00007819846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004689487,0.00002692258,0.00001345999,0.00005366391,0.00001368088,0.000006015408,0.9993304,0.00004686478,0.0004622011],"genre_scores_gemma":[0.0004029497,0.0001101185,0.000154564,0.00005418125,0.000008526976,0.00004075153,0.9973198,0.00005763748,0.001851467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9282717,"threshold_uncertainty_score":0.2399552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993047321708185,"score_gpt":0.2543487044930565,"score_spread":0.2144182312759746,"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."}}