{"id":"W6920310084","doi":"10.6068/dp14ba852113742","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 revenue, Gasoline stations, Chain 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; 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":[0.001362,0.002620966,0.002495062,0.008323981,0.002193325,0.004629083,0.005108247,0.001339057,0.07159209],"category_scores_gemma":[0.01207663,0.001533762,0.001839892,0.04013193,0.0005922255,0.002565208,0.001992626,0.002779201,0.07502125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02806323,"about_ca_system_score_gemma":0.0662131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986453,"about_ca_topic_score_gemma":0.9844813,"domain_scores_codex":[0.9969398,0.0001656671,0.0002844465,0.0004828152,0.001366575,0.0007607914],"domain_scores_gemma":[0.9783693,0.0007961013,0.0008557639,0.0007681482,0.01820897,0.001001749],"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":[0.00001926716,0.000005409122,0.0009629983,0.0001575352,0.00001608298,0.000006475656,0.00001234961,0.0001031809,0.000007765128,0.0002101322,0.9974832,0.001015474],"study_design_scores_gemma":[0.0001532077,0.00001230802,0.02279885,0.0006755803,0.00005056462,0.00002779345,0.000375669,0.0006208103,0.0001837674,0.0005235709,0.9745008,0.00007705053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004731558,0.00002693183,0.00001321069,0.00005281672,0.00001341881,0.000005807322,0.9993401,0.00004539559,0.0004549416],"genre_scores_gemma":[0.0004067307,0.0001093764,0.000149611,0.00005280813,0.000008303832,0.00003915862,0.9973429,0.00005566071,0.001835447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07159209,"threshold_uncertainty_score":0.2394994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429689439263305,"score_gpt":0.2547120006643302,"score_spread":0.2204151062716971,"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."}}