{"id":"W6957906798","doi":"10.6068/dp14ba8267a4599","title":"Trend 2008 - 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: Operating profit, Vending machine operators | Units: $CAD %, 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":"","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":[0.001324956,0.002692496,0.002525984,0.008503717,0.002320529,0.004678677,0.005088315,0.001314273,0.07536894],"category_scores_gemma":[0.01213593,0.001547572,0.00184372,0.04130949,0.0005625654,0.002547425,0.001970918,0.002721634,0.07692955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02793006,"about_ca_system_score_gemma":0.0687272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860903,"about_ca_topic_score_gemma":0.9840501,"domain_scores_codex":[0.9968441,0.0001537427,0.0003023339,0.0004802471,0.001440263,0.0007793672],"domain_scores_gemma":[0.9758455,0.0007852314,0.0009093545,0.0007377625,0.02068787,0.001034253],"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":[0.00002093267,0.000005768602,0.001016348,0.0001621038,0.00001563292,0.000006403653,0.00001185353,0.00009719378,0.000008292318,0.0001914072,0.9974124,0.001051692],"study_design_scores_gemma":[0.0001774923,0.00001490035,0.02944421,0.0007421465,0.00005524848,0.00002994452,0.0004187595,0.0006609446,0.0002102512,0.0005092819,0.9676523,0.00008449854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005112686,0.00002517473,0.0000120048,0.00005142305,0.00001408926,0.00000673185,0.9992987,0.00004273484,0.0004980427],"genre_scores_gemma":[0.0004079787,0.0001105141,0.0001327979,0.00005373594,0.000009445753,0.00004253973,0.9972221,0.00005148182,0.001969434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07536894,"threshold_uncertainty_score":0.2521342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489327474906036,"score_gpt":0.2468083441053406,"score_spread":0.2119150693562802,"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."}}