{"id":"W6976804368","doi":"10.6068/dp14ba86c42d011","title":"Trend 1999 - 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: Total operating expenses, Chain stores, Home furnishings stores | Units: , 1999-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-177.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retail trade; Census; Economic statistics; Summary statistics; Retail sales; Index (typography); Financial services; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139413,0.002634884,0.002544276,0.008100451,0.002269296,0.004499839,0.005123389,0.001275305,0.06775691],"category_scores_gemma":[0.0118825,0.001509254,0.001815544,0.03930891,0.0005736932,0.002478765,0.001900463,0.002762757,0.06978528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02713301,"about_ca_system_score_gemma":0.06502531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986977,"about_ca_topic_score_gemma":0.9843416,"domain_scores_codex":[0.9968177,0.0001654738,0.0003194918,0.0004975933,0.001436683,0.0007630648],"domain_scores_gemma":[0.977827,0.0007400252,0.0008881738,0.0007329537,0.01883773,0.0009740374],"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":[0.0000253329,0.000006595391,0.001182091,0.0001755687,0.00001861562,0.000007401854,0.00001288884,0.0001121427,0.000009334787,0.000217968,0.9971077,0.001124505],"study_design_scores_gemma":[0.000206928,0.00001655516,0.03328549,0.0007577298,0.00006092032,0.00003267803,0.0004381428,0.0006914579,0.0002225032,0.0005364525,0.9636648,0.00008637518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005301148,0.00002610196,0.00001242278,0.00005145233,0.00001473056,0.000006789495,0.9993414,0.00003989902,0.0004541414],"genre_scores_gemma":[0.0004299646,0.0001072035,0.0001271791,0.00005096149,0.000009049168,0.00003867322,0.9973591,0.00004620199,0.001831657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06775691,"threshold_uncertainty_score":0.2266695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354854209836537,"score_gpt":0.2568059640650693,"score_spread":0.2213205430814156,"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."}}