{"id":"W6957548831","doi":"10.6068/dp14ba83cc70727","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, method of sale by North American Industry Classification System (NAICS) and store type | Variable: In-store sales, Used car dealers, Total all stores | Units: $CAD x 1,000, 2010-2011. 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":"Census; Retail trade; Economic statistics; Retail sales; Summary statistics; Index (typography); Official statistics; Goods and services","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":[0.001554969,0.002695299,0.00266614,0.008383327,0.00223159,0.004413351,0.005264645,0.00129819,0.07278705],"category_scores_gemma":[0.01330047,0.001598338,0.001953444,0.04066506,0.0005539915,0.00248805,0.001903298,0.00284296,0.07163641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02895425,"about_ca_system_score_gemma":0.0711327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859719,"about_ca_topic_score_gemma":0.9839411,"domain_scores_codex":[0.9966244,0.0001803683,0.0003516883,0.0005113127,0.001573138,0.0007591464],"domain_scores_gemma":[0.9744396,0.0008710324,0.0009190483,0.0007868646,0.02192008,0.001063468],"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":[0.00002180023,0.000005725713,0.0009427781,0.0001754218,0.00001695472,0.000005964979,0.00001097254,0.00009004467,0.000007751856,0.0001834525,0.9974493,0.00108982],"study_design_scores_gemma":[0.0002052795,0.0000159587,0.03163608,0.0008034548,0.00006566934,0.00003057437,0.0003932492,0.0006442474,0.0002059468,0.0005447756,0.9653683,0.00008658406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005170119,0.00003021164,0.00001389905,0.00005820915,0.00001707407,0.000007479404,0.9992743,0.0000450217,0.0005020801],"genre_scores_gemma":[0.0003982152,0.0001184348,0.0001433379,0.00006036939,0.00001054859,0.00004543469,0.9971408,0.00005429855,0.00202864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07278705,"threshold_uncertainty_score":0.243497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05236810333628161,"score_gpt":0.2710467616579015,"score_spread":0.2186786583216199,"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."}}