{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008079081,0.0008041988,0.001421318,0.0001216358,0.0003044251,0.0002130927,0.001044517,0.0006116489,0.002656349],"category_scores_gemma":[0.0003858703,0.0007613461,5.372361e-7,0.0001646003,0.001344631,0.0002800255,0.0003235675,0.001247342,0.000010218],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575668,"about_ca_system_score_gemma":0.01092031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980148,"about_ca_topic_score_gemma":0.9978067,"domain_scores_codex":[0.9956236,0.00059917,0.001030428,0.0011081,0.001010532,0.0006282069],"domain_scores_gemma":[0.994782,0.0008508539,0.00162437,0.001533689,0.0006244988,0.0005846191],"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":[0.0002294336,0.00008106651,0.005056061,0.001229855,0.0002720926,0.00004756797,0.0001901318,0.000001413422,0.000001060548,0.000938287,0.9917907,0.0001623226],"study_design_scores_gemma":[0.0005515816,0.0001762619,0.0004721748,0.00008549952,0.0004253623,0.00005790338,0.004204366,0.0002658773,1.944727e-8,1.96988e-7,0.9929556,0.0008051308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002839923,0.01015466,0.000001111307,0.000010278,0.001192883,0.0004533168,0.9870933,0.00005580383,0.000754597],"genre_scores_gemma":[0.001165503,0.001473665,0.00006056531,0.00009381135,0.0004656126,0.00001052958,0.9865111,0.0002034458,0.01001578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01066274,"threshold_uncertainty_score":0.9994838,"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."}}