{"id":"W6958035404","doi":"10.6068/dp14ba88a3a5a40","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, Total all stores, Computer and software 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retail trade; Census; Economic statistics; Summary statistics; Retail sales; Index (typography); Goods and services; 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":[0.001464087,0.002622688,0.002593522,0.008352938,0.002295964,0.004567336,0.005155303,0.001267477,0.0672849],"category_scores_gemma":[0.01222827,0.001528231,0.001880474,0.0402227,0.0005705,0.002556525,0.001956703,0.002819557,0.06733582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02859405,"about_ca_system_score_gemma":0.06943613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9870672,"about_ca_topic_score_gemma":0.9842716,"domain_scores_codex":[0.9965907,0.0001733432,0.0003441365,0.0005066054,0.001593136,0.0007919757],"domain_scores_gemma":[0.9750396,0.0007735144,0.000947174,0.0007660963,0.02144191,0.001031671],"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":[0.00002720275,0.000007216872,0.001275048,0.0001924041,0.00001997824,0.000007671865,0.00001382129,0.0001154271,0.000009774508,0.0002358019,0.9968593,0.00123632],"study_design_scores_gemma":[0.0002013021,0.00001733448,0.03577105,0.0008050755,0.00006426164,0.00003200618,0.0004586904,0.0006822784,0.0002281837,0.0005405103,0.9611104,0.00008900582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005690255,0.00002746853,0.00001381195,0.00005525566,0.00001603231,0.000007788503,0.9992817,0.00004070099,0.0005003851],"genre_scores_gemma":[0.0004726065,0.0001205334,0.0001462118,0.00005636648,0.0000100051,0.00004536488,0.9969884,0.00005035269,0.002110211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0672849,"threshold_uncertainty_score":0.2250904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492580574867302,"score_gpt":0.2404922644016791,"score_spread":0.2055664586530061,"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."}}