{"id":"W6976205939","doi":"10.6068/dp14baa32181c0","title":"Trend 2000 - 2009. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Province: Yukon | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Closing inventory, Chain stores, Clothing 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":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retail trade; Census; Economic statistics; Summary statistics; Retail sales; Index (typography); Clothing; Official statistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00137424,0.002754963,0.002598545,0.008241529,0.002234203,0.004587137,0.005202737,0.001344179,0.06810796],"category_scores_gemma":[0.01234729,0.001590974,0.001863208,0.04069584,0.0005861354,0.002524748,0.001968288,0.002763415,0.07307307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02626504,"about_ca_system_score_gemma":0.06276251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985157,"about_ca_topic_score_gemma":0.9819031,"domain_scores_codex":[0.9968295,0.0001685166,0.0003355516,0.000535872,0.001360684,0.0007697741],"domain_scores_gemma":[0.9773976,0.0007807849,0.0008968826,0.0007902369,0.01914508,0.0009894021],"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":[0.00002527072,0.000006330502,0.001169301,0.0001811876,0.00001884306,0.000007286614,0.00001315593,0.0001110346,0.000009568131,0.0002055288,0.9972134,0.00103903],"study_design_scores_gemma":[0.0002180876,0.00001696178,0.03240835,0.0007667019,0.00005940609,0.00003280613,0.0004527589,0.00070576,0.0002287032,0.0005629651,0.9644559,0.00009154022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004756381,0.00002240745,0.00001142442,0.00004427372,0.0000136469,0.000006419866,0.9994094,0.00003986849,0.0004050094],"genre_scores_gemma":[0.0003696814,0.00008737942,0.0001198723,0.0000460795,0.000008081803,0.00004013361,0.9977257,0.00004553671,0.001557557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.931892,"threshold_uncertainty_score":0.2278438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553116329506469,"score_gpt":0.2190272642450303,"score_spread":0.1934961009499656,"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."}}