{"id":"W6939208669","doi":"10.6068/dp14ba840775176","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, method of sale by North American Industry Classification System (NAICS) and store type | Variable: In-store sales, Specialty food stores, Chain stores | Units: $CAD x 1,000, 2010-2011. 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; Goods and services; Descriptive 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":[0.00148532,0.002718341,0.002667836,0.008234377,0.00226118,0.004489934,0.005429881,0.001365906,0.07397491],"category_scores_gemma":[0.01306789,0.001579877,0.001976015,0.0390646,0.0005691867,0.002486363,0.001919693,0.002885545,0.07434125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02759274,"about_ca_system_score_gemma":0.06548809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851231,"about_ca_topic_score_gemma":0.9832571,"domain_scores_codex":[0.9968212,0.0001737341,0.0003257316,0.0005038957,0.001443178,0.0007323166],"domain_scores_gemma":[0.9766046,0.0008532759,0.0008906381,0.0007860783,0.01982077,0.001044572],"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":[0.00002086505,0.000005438988,0.0008994195,0.0001661741,0.00001656841,0.000005982715,0.00001041375,0.00009136791,0.000007415591,0.0001778102,0.9975998,0.0009987291],"study_design_scores_gemma":[0.0002130878,0.000016148,0.02953844,0.000804404,0.00006458534,0.00003173493,0.0003922579,0.0007016796,0.0002032021,0.0005848474,0.9673594,0.00009016762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004708373,0.00002778216,0.00001299548,0.00005484498,0.00001567874,0.000006744449,0.9993394,0.00004437379,0.0004510453],"genre_scores_gemma":[0.0003655411,0.0001064988,0.0001311013,0.00005556346,0.000009659811,0.00004140988,0.9975049,0.00005067421,0.001734687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07397491,"threshold_uncertainty_score":0.2474707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04913386805958014,"score_gpt":0.2652046916905481,"score_spread":0.216070823630968,"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."}}