{"id":"W6920511237","doi":"10.6068/dp14ba8559f3387","title":"Trend 1999 - 2003. 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 revenue, Chain stores, Computer and software stores | Units: , 1999-2003. 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; Retail trade; Economic statistics; Summary statistics; Retail sales; Index (typography); Financial services; Goods and 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":[0.001613162,0.002726227,0.002658535,0.00882989,0.002441589,0.004682725,0.005467189,0.001257518,0.07091441],"category_scores_gemma":[0.01271643,0.001602341,0.001829507,0.04363531,0.0005729978,0.002587625,0.001951548,0.002793566,0.06884038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03307082,"about_ca_system_score_gemma":0.08072054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890492,"about_ca_topic_score_gemma":0.9858495,"domain_scores_codex":[0.9962764,0.0001924272,0.0003659181,0.0005275934,0.001774806,0.0008628102],"domain_scores_gemma":[0.9721762,0.000813783,0.001026018,0.0008094238,0.02401215,0.001162538],"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":[0.00002761889,0.000007377468,0.001245236,0.0001791486,0.00001870822,0.000007309913,0.00001406688,0.0001135524,0.000009159089,0.0002372973,0.9968308,0.001309835],"study_design_scores_gemma":[0.0001891064,0.00001697931,0.03604207,0.0007710585,0.00005988653,0.00003037998,0.0004586345,0.0006817841,0.0002229192,0.0005515373,0.9608911,0.00008460445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00005915045,0.00002681639,0.00001492921,0.00005771012,0.00001595632,0.000009022708,0.999195,0.00004462875,0.0005767948],"genre_scores_gemma":[0.0004977804,0.0001238322,0.000162296,0.00006027507,0.000009936689,0.00005161405,0.9966211,0.00005611128,0.0024171],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07091441,"threshold_uncertainty_score":0.2399467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898753198250546,"score_gpt":0.2319029739402887,"score_spread":0.2029154419577832,"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."}}