{"id":"W6920118792","doi":"10.6068/dp14ba8683ff238","title":"Trend 2000 - 2009. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Number of stores, Non-chain stores, General merchandise stores | Units: , 2000-2009. 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":"Retail trade; Census; Economic statistics; Retail sales; Summary statistics; Official statistics; Index (typography); Financial services","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":[0.001477301,0.002731012,0.00258383,0.008728204,0.002200104,0.004529414,0.005245409,0.001291528,0.06802139],"category_scores_gemma":[0.01284353,0.001574457,0.001822644,0.04222839,0.0005821818,0.002540171,0.001946433,0.00286845,0.07320286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0274325,"about_ca_system_score_gemma":0.06632457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856216,"about_ca_topic_score_gemma":0.9826215,"domain_scores_codex":[0.9966152,0.0001791382,0.0003442021,0.0005431076,0.001537328,0.0007810546],"domain_scores_gemma":[0.9755521,0.0008450549,0.0009767053,0.0008162551,0.0207387,0.001071087],"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":[0.00002283634,0.000006014592,0.001004502,0.0001699125,0.00001702843,0.000006337958,0.0000126096,0.00009905001,0.000008840792,0.0002052714,0.9974077,0.001039851],"study_design_scores_gemma":[0.0001979443,0.00001513568,0.02977246,0.0007238986,0.00005586353,0.00002900158,0.000404346,0.0006508169,0.0002125634,0.0005415326,0.9673108,0.00008567952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004729802,0.00002426233,0.0000122006,0.00004674618,0.00001411792,0.000006801142,0.9993607,0.00004322717,0.0004447057],"genre_scores_gemma":[0.0003620737,0.00009471284,0.000130986,0.00004811459,0.000008536578,0.00004165802,0.9975531,0.00004959299,0.001711415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06802139,"threshold_uncertainty_score":0.2275542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234616405995654,"score_gpt":0.2483388995866279,"score_spread":0.2159927355266713,"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."}}