{"id":"W6920386949","doi":"10.6068/dp14ba8872b4d9","title":"Trend 1999 - 2009. 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: Cost of goods sold, Chain stores, Convenience and specialty food stores | Units: , 1999-2009. 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; Goods and services; Index (typography); 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":[0.001378806,0.002717756,0.002599312,0.008118478,0.002218093,0.004433868,0.005250312,0.001317974,0.06501356],"category_scores_gemma":[0.01177284,0.001527884,0.001856853,0.03880193,0.0005702135,0.00240582,0.001858685,0.002789141,0.06822761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02711692,"about_ca_system_score_gemma":0.06239402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865245,"about_ca_topic_score_gemma":0.983597,"domain_scores_codex":[0.9968261,0.0001642224,0.0003226708,0.0004964904,0.001447015,0.0007436143],"domain_scores_gemma":[0.9782538,0.0007314662,0.0008801303,0.0007140558,0.01847235,0.0009481537],"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":[0.00002488495,0.000006721575,0.00111908,0.000173272,0.00001871154,0.000007183905,0.00001165412,0.0001111533,0.000009016508,0.0002070098,0.9972446,0.00106668],"study_design_scores_gemma":[0.0002164558,0.00001726477,0.03321559,0.0007731099,0.00006141505,0.00003285919,0.000417433,0.0007449863,0.0002310294,0.0005511292,0.9636492,0.00008952341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005037616,0.0000256052,0.0000117311,0.0000490138,0.00001438061,0.000006537292,0.9993764,0.00003824566,0.0004278714],"genre_scores_gemma":[0.0003995033,0.0001025222,0.0001195425,0.00004930378,0.000008841864,0.00003676252,0.9975628,0.00004263786,0.001678173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06501356,"threshold_uncertainty_score":0.217492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933783745965815,"score_gpt":0.2432317868228887,"score_spread":0.2038939493632305,"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."}}