{"id":"W6976541939","doi":"10.6068/dp14ba899544669","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, 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":[0.001378271,0.002647374,0.00258223,0.008395688,0.002234216,0.004584621,0.005062811,0.001295508,0.07110563],"category_scores_gemma":[0.01255048,0.001522842,0.001810719,0.04130951,0.0005642083,0.002544595,0.001933575,0.002809963,0.07278272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02717802,"about_ca_system_score_gemma":0.06616411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9859651,"about_ca_topic_score_gemma":0.9840236,"domain_scores_codex":[0.9967637,0.0001703906,0.0003230493,0.0004988097,0.001469945,0.0007740724],"domain_scores_gemma":[0.9767382,0.0008299893,0.0009437136,0.0007551145,0.0196842,0.001048766],"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":[0.00002102172,0.000005893127,0.001072049,0.0001654917,0.00001682742,0.000006515219,0.00001254625,0.00009838781,0.000007983283,0.0002007255,0.997309,0.001083499],"study_design_scores_gemma":[0.0001779241,0.00001519304,0.0295649,0.0007533367,0.00005842255,0.00003121514,0.0004324293,0.0006557267,0.0001967825,0.0005412815,0.9674895,0.00008343859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005396813,0.00002849679,0.00001322856,0.00005528036,0.00001476879,0.000006658276,0.9993204,0.00004294277,0.0004642475],"genre_scores_gemma":[0.0004194751,0.0001160035,0.0001357662,0.00005457356,0.000009561918,0.00004041644,0.9973465,0.00005018053,0.001827375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07110563,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159564469276571,"score_gpt":0.2421692729516818,"score_spread":0.210573628258916,"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."}}