{"id":"W6901492739","doi":"10.6068/dp14ba88a390339","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: Gross margin, Clothing and clothing accessories stores, Non-chain 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; Clothing; Summary statistics; 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":[0.001450776,0.00269582,0.002610798,0.008587134,0.002381558,0.004746761,0.005155645,0.001257765,0.07534111],"category_scores_gemma":[0.0117582,0.001618018,0.001867821,0.04239527,0.0005565576,0.002629388,0.001944228,0.002820665,0.07196035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03095199,"about_ca_system_score_gemma":0.0763002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887636,"about_ca_topic_score_gemma":0.9861317,"domain_scores_codex":[0.9965363,0.0001662347,0.0003269396,0.0004889036,0.001640888,0.0008406906],"domain_scores_gemma":[0.9746074,0.0007430472,0.000909943,0.0007093485,0.02195989,0.001070377],"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":[0.00002337308,0.000006716078,0.001165019,0.0001754431,0.00001688435,0.000007026385,0.00001397405,0.0001022497,0.000008714291,0.0002249643,0.9969138,0.001341861],"study_design_scores_gemma":[0.0001726658,0.00001631191,0.03277876,0.0007676624,0.0000587727,0.00003166693,0.0004615032,0.0006489106,0.0002181439,0.0005167006,0.9642451,0.00008376251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006319093,0.00003222436,0.00001555256,0.00006194039,0.00001741472,0.000008627712,0.9991277,0.00004789543,0.0006254995],"genre_scores_gemma":[0.000520738,0.0001478667,0.0001741587,0.0000653548,0.00001150786,0.00005057824,0.9962102,0.00006452468,0.002754986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07534111,"threshold_uncertainty_score":0.2520411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625088639274591,"score_gpt":0.2556346916570307,"score_spread":0.2193838052642848,"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."}}