{"id":"W6976848919","doi":"10.6068/dp14ba85d173096","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 by square foot, 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; Descriptive statistics; Index (typography); Summary 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":[],"consensus_categories":[],"category_scores_codex":[0.001354022,0.002662987,0.002557007,0.008287086,0.002298185,0.004650111,0.00521618,0.001335106,0.07675502],"category_scores_gemma":[0.01225136,0.001513075,0.001823163,0.04049541,0.0005668417,0.002534475,0.001956386,0.002767158,0.07861806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0267735,"about_ca_system_score_gemma":0.06326789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853075,"about_ca_topic_score_gemma":0.9833628,"domain_scores_codex":[0.9969664,0.0001620979,0.0002924122,0.0004734596,0.001358036,0.0007476492],"domain_scores_gemma":[0.9780597,0.0007885704,0.0008387504,0.0007619409,0.01854624,0.001004706],"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":[0.00002006392,0.000005533351,0.0009354154,0.0001553219,0.00001528521,0.000006093923,0.00001157559,0.00009280119,0.000007385732,0.0001898308,0.9975373,0.001023593],"study_design_scores_gemma":[0.0001752006,0.00001361373,0.02547925,0.0007088899,0.00005360369,0.0000290095,0.0003936095,0.0006230022,0.0001856021,0.0005411071,0.9717175,0.00007970004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004781663,0.00002616644,0.00001249483,0.00005281886,0.00001459688,0.000006445857,0.9993262,0.00004405982,0.0004693868],"genre_scores_gemma":[0.0003788532,0.000102881,0.0001307257,0.00005187223,0.000009151829,0.00004025741,0.9974893,0.00005096508,0.001745942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07675502,"threshold_uncertainty_score":0.2567711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414636918977246,"score_gpt":0.2436879868361147,"score_spread":0.2095416176463422,"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."}}