{"id":"W6920158172","doi":"10.6068/dp14ba860c08644","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: Closing inventory, Home furnishings stores, Total all 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; Economic statistics; Retail trade; Retail sales; Index (typography); Summary statistics; Financial services; Goods and 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":[0.00142644,0.00263837,0.002519944,0.008589318,0.002203311,0.004709687,0.005094378,0.001351425,0.07894127],"category_scores_gemma":[0.01288483,0.001521677,0.001838483,0.04163691,0.0005644296,0.002641115,0.002072449,0.002772042,0.08213474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02604242,"about_ca_system_score_gemma":0.06179769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839352,"about_ca_topic_score_gemma":0.9812719,"domain_scores_codex":[0.9967403,0.0001756976,0.0003102085,0.0005022199,0.001481502,0.0007900961],"domain_scores_gemma":[0.9769259,0.0008724321,0.0009097824,0.0008301517,0.01940301,0.001058684],"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":[0.00001913194,0.000005503668,0.0009131572,0.0001496732,0.00001491253,0.000005962462,0.00001195842,0.00009289223,0.000007338284,0.0001921822,0.9975696,0.001017562],"study_design_scores_gemma":[0.0001625422,0.00001324317,0.02362685,0.0006562463,0.0000492898,0.00002661025,0.0003755418,0.0006058014,0.0001724735,0.0005343013,0.9737007,0.00007636587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004665355,0.00002459555,0.00001277767,0.00005030639,0.00001400825,0.000006245593,0.9993351,0.00004525169,0.0004650438],"genre_scores_gemma":[0.0003632736,0.00009728772,0.0001332287,0.00004985261,0.000008807316,0.00003970967,0.9975018,0.00005307441,0.001752953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07894127,"threshold_uncertainty_score":0.2640849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081209787902899,"score_gpt":0.2501468458864751,"score_spread":0.2093347480074461,"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."}}