{"id":"W6976691473","doi":"10.6068/dp14ba88116ea65","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: Number of stores, 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":"Linguistic Education and Pedagogy","field":"Arts and Humanities","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001397341,0.002643097,0.002592928,0.008483185,0.002259437,0.004589459,0.005150648,0.001295592,0.07239731],"category_scores_gemma":[0.0128593,0.001527097,0.001816246,0.04178263,0.000572318,0.002566902,0.001943922,0.00280576,0.07305108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02733541,"about_ca_system_score_gemma":0.06715626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986167,"about_ca_topic_score_gemma":0.984217,"domain_scores_codex":[0.9967194,0.0001742965,0.0003275952,0.0005016178,0.001497904,0.000779097],"domain_scores_gemma":[0.9760768,0.000856248,0.0009568486,0.0007740099,0.02026394,0.001072166],"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":[0.00002107868,0.0000057831,0.001047582,0.000162172,0.00001651551,0.000006353891,0.00001250266,0.00009678245,0.000007730351,0.000201453,0.9973514,0.001070641],"study_design_scores_gemma":[0.0001808074,0.00001538207,0.02941905,0.0007548852,0.00005857274,0.00003112887,0.0004363084,0.0006597469,0.000195814,0.0005558647,0.9676078,0.00008461431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005390363,0.00002820406,0.00001347694,0.00005586263,0.0000149929,0.000006833101,0.9993091,0.00004391538,0.0004736836],"genre_scores_gemma":[0.0004236743,0.0001166464,0.000138962,0.00005617385,0.000009822419,0.00004178844,0.9972903,0.00005215775,0.001870488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9276027,"threshold_uncertainty_score":0.2421932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761104078995374,"score_gpt":0.2621283362047184,"score_spread":0.2145172954147646,"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."}}