{"id":"W6901496280","doi":"10.6068/dp14ba89f575718","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: Total operating expenses, Total all stores, Pharmacies and personal care 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":"Retail trade; Census; Economic statistics; Retail sales; Summary statistics; Official statistics; Index (typography); Financial services; 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":[0.001508919,0.002709787,0.002665566,0.008245907,0.002175549,0.004453901,0.005224644,0.001304354,0.06492215],"category_scores_gemma":[0.01271792,0.001553182,0.001889113,0.03959526,0.0005633872,0.002416776,0.001895372,0.00287623,0.06740207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02795797,"about_ca_system_score_gemma":0.06569276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857905,"about_ca_topic_score_gemma":0.9827893,"domain_scores_codex":[0.9965994,0.0001837269,0.0003545625,0.0005351958,0.001554851,0.0007723595],"domain_scores_gemma":[0.9766763,0.0008106923,0.0009494636,0.0007641978,0.01979324,0.001006112],"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":[0.00002533389,0.000006613215,0.00111599,0.0001851523,0.0000196747,0.00000699871,0.00001182304,0.0001071727,0.000009136259,0.0002093543,0.997216,0.001086827],"study_design_scores_gemma":[0.0002186978,0.00001583884,0.03176256,0.0007849655,0.00006371684,0.00003061859,0.0003868784,0.0006830154,0.000220021,0.000532906,0.9652159,0.00008490674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004770022,0.00002676255,0.00001196971,0.00005009501,0.00001467117,0.00000682027,0.9993788,0.00003737263,0.000425847],"genre_scores_gemma":[0.0003935864,0.0001062254,0.0001300104,0.00005229147,0.000009095791,0.00004195535,0.9974947,0.000045275,0.001726926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06492215,"threshold_uncertainty_score":0.2171862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115532413125268,"score_gpt":0.2559793219274506,"score_spread":0.2148239977961979,"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."}}