{"id":"W6939300928","doi":"10.6068/dp14ba83ccc9230","title":"Trend 2001 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail non-store survey, financial estimates by trade group based on the North American Industry Classification System (NAICS) | Variable: Total operating revenue, Vending machine operators | Units: $CAD x 1,000, 2001-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-177.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retail trade; Census; Economic statistics; Retail sales; Summary statistics; Goods and services; 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":[0.001362783,0.002693737,0.002539256,0.008290485,0.002258493,0.004458182,0.005037738,0.001359503,0.06903251],"category_scores_gemma":[0.01206852,0.001527706,0.001846519,0.03886503,0.0005590013,0.002378983,0.001841334,0.002821008,0.07232824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02668121,"about_ca_system_score_gemma":0.06239523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9844105,"about_ca_topic_score_gemma":0.9823255,"domain_scores_codex":[0.996973,0.0001580205,0.0003033669,0.0004873397,0.001358848,0.0007193877],"domain_scores_gemma":[0.9770176,0.0008444639,0.0009027911,0.0007476497,0.0194882,0.000999363],"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":[0.00002196383,0.000005817046,0.001022545,0.0001752046,0.00001698186,0.00000678374,0.00001109794,0.0001010467,0.000008316535,0.0001794234,0.9974589,0.0009919913],"study_design_scores_gemma":[0.0001957662,0.00001584971,0.03141432,0.0007738769,0.00005966172,0.00003315112,0.0003949084,0.0007058763,0.0002159538,0.0005123954,0.9655901,0.00008826029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000475369,0.0000252256,0.00001080527,0.00004889257,0.00001344328,0.000005851029,0.9994051,0.00003936748,0.0004036821],"genre_scores_gemma":[0.0003596791,0.00009754013,0.0001106767,0.00004854536,0.000008478019,0.00003622185,0.9976949,0.00004187279,0.001601975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06903251,"threshold_uncertainty_score":0.2309368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567488854343214,"score_gpt":0.2491981594435994,"score_spread":0.2135232709001672,"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."}}