{"id":"W6920337310","doi":"10.6068/dp14ba8964f9643","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, Furniture and home furnishings stores, 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; Retail trade; Economic statistics; Retail sales; Summary statistics; Index (typography); Financial services; Retail industry; 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":[0.00139812,0.002647663,0.002585649,0.008427684,0.002267328,0.004599414,0.005116386,0.001290854,0.07073874],"category_scores_gemma":[0.01261942,0.001525203,0.001808899,0.04130954,0.0005738734,0.002568035,0.001951002,0.002816527,0.07298189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02730112,"about_ca_system_score_gemma":0.0665083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858592,"about_ca_topic_score_gemma":0.9839653,"domain_scores_codex":[0.9967437,0.000173092,0.0003220564,0.0005041024,0.001477531,0.0007795871],"domain_scores_gemma":[0.9764998,0.0008353216,0.0009426154,0.0007751437,0.0198867,0.00106043],"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":[0.00002091114,0.000005803593,0.001063225,0.0001610558,0.00001667301,0.000006449952,0.00001241597,0.00009690521,0.000007923618,0.0002005381,0.9973354,0.001072714],"study_design_scores_gemma":[0.0001765931,0.00001507946,0.02906553,0.0007472337,0.00005780232,0.00003106803,0.0004279757,0.0006553351,0.0001964661,0.00054897,0.9679949,0.00008300554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005388374,0.00002826181,0.00001337685,0.00005554496,0.00001491253,0.00000665851,0.9993166,0.00004343961,0.0004674222],"genre_scores_gemma":[0.0004151895,0.0001138632,0.0001351177,0.00005464161,0.000009556382,0.00004028025,0.99737,0.00005033777,0.001811079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07073874,"threshold_uncertainty_score":0.2366446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899314176009401,"score_gpt":0.2404329804036517,"score_spread":0.2114398386435577,"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."}}