{"id":"W6901650325","doi":"10.6068/dp14ba86ff14651","title":"Trend 2008 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by North American Industry Classification System (NAICS) and store type | Variable: Operating profit, Beer, wine and liquor stores, Total all stores | Units: , 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":"Census; Retail trade; Economic statistics; Retail sales; Summary statistics; Index (typography); Retail industry; Official statistics; Financial 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":[0.001381502,0.002629061,0.002570527,0.008313356,0.002262427,0.004651521,0.005132231,0.001287721,0.07668982],"category_scores_gemma":[0.01230025,0.001544924,0.001834602,0.04141606,0.0005567446,0.002586758,0.001975181,0.002787824,0.07749774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02726114,"about_ca_system_score_gemma":0.06689981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856574,"about_ca_topic_score_gemma":0.9835222,"domain_scores_codex":[0.9968052,0.0001627411,0.000315966,0.0004889191,0.001454251,0.000772959],"domain_scores_gemma":[0.9761149,0.0007891591,0.0009086168,0.0007602649,0.02037896,0.001048078],"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":[0.0000210211,0.00000580422,0.001007779,0.0001622523,0.00001579167,0.000006131414,0.00001201808,0.00009243068,0.000007986757,0.0001937341,0.9973652,0.001109948],"study_design_scores_gemma":[0.0001760776,0.00001483276,0.02880584,0.0007383118,0.00005648373,0.00002929189,0.0004117697,0.0006261526,0.000200686,0.0005327896,0.9683252,0.00008264973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005185497,0.00002637111,0.00001321086,0.00005349021,0.00001489306,0.000007105638,0.9992917,0.00004453927,0.0004968849],"genre_scores_gemma":[0.0004068166,0.0001130621,0.0001446406,0.0000552758,0.000009818259,0.00004409064,0.9971722,0.00005539311,0.001998709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07668982,"threshold_uncertainty_score":0.256553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0374783148656012,"score_gpt":0.2537427470530582,"score_spread":0.216264432187457,"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."}}