{"id":"W6920281061","doi":"10.6068/dp14ba81e949a46","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: Purchases, Shoe 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; Economic statistics; Retail trade; Retail sales; Summary statistics; Index (typography); Financial services; Official statistics; Retail industry","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":[0.001499132,0.002567265,0.002546046,0.008351551,0.002397487,0.004620912,0.005135215,0.001291636,0.07851885],"category_scores_gemma":[0.01275077,0.001545382,0.00190699,0.04093467,0.0005786394,0.002615914,0.001976317,0.002767283,0.07303232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03095622,"about_ca_system_score_gemma":0.07903626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892474,"about_ca_topic_score_gemma":0.9867489,"domain_scores_codex":[0.9966369,0.0001763066,0.0003111724,0.000477602,0.001580716,0.0008173367],"domain_scores_gemma":[0.9748808,0.0008129523,0.0008657947,0.000752491,0.02158288,0.001105161],"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":[0.00002074359,0.000005651442,0.001005478,0.0001662128,0.00001616708,0.000006427093,0.00001373371,0.00009495761,0.000008042283,0.0002258255,0.997267,0.001169744],"study_design_scores_gemma":[0.0001615185,0.00001383682,0.02724598,0.0007243025,0.0000571001,0.00002926035,0.0004354656,0.0005903232,0.0001916802,0.0005401536,0.9699281,0.00008220218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005293228,0.00002968209,0.00001538632,0.00006325034,0.00001601537,0.000007742668,0.9991881,0.00004794339,0.0005788614],"genre_scores_gemma":[0.0005055302,0.0001369597,0.0001918406,0.0000696566,0.00001111666,0.00005278404,0.9964117,0.00006981128,0.002550563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07851885,"threshold_uncertainty_score":0.2626717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011820371150087,"score_gpt":0.2531736913699561,"score_spread":0.2130554876584552,"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."}}