{"id":"W6920132198","doi":"10.6068/dp14ba873371b56","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: Closing inventory, 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; Index (typography); Summary statistics; Financial services; Retail industry; 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":[0.001391547,0.002656639,0.002578371,0.008394223,0.002281075,0.004694342,0.005142204,0.001296175,0.07767469],"category_scores_gemma":[0.01234371,0.00155491,0.001845663,0.0415308,0.0005634954,0.002610356,0.001998122,0.002797661,0.07811902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0271122,"about_ca_system_score_gemma":0.06676216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855723,"about_ca_topic_score_gemma":0.9831961,"domain_scores_codex":[0.9967769,0.0001643245,0.0003179323,0.0004942133,0.001467413,0.0007792882],"domain_scores_gemma":[0.9762414,0.0007940839,0.0009095885,0.0007604218,0.02024539,0.001049077],"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":[0.00002099217,0.000005790597,0.001000796,0.0001634103,0.00001574681,0.000006155,0.00001206045,0.00009311433,0.000007959407,0.0001942534,0.9973691,0.001110772],"study_design_scores_gemma":[0.0001762826,0.00001494632,0.02840536,0.0007442224,0.0000560797,0.00002930825,0.0004142429,0.0006256689,0.0001991981,0.0005322638,0.9687201,0.00008222729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005187921,0.0000264564,0.00001324731,0.00005388692,0.00001519461,0.000007150109,0.9992871,0.00004474196,0.0005004618],"genre_scores_gemma":[0.0004086468,0.0001143071,0.0001455384,0.00005619066,0.0000100303,0.00004448478,0.9971367,0.00005589397,0.002028271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07767469,"threshold_uncertainty_score":0.2598477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068213505862239,"score_gpt":0.2535351207721807,"score_spread":0.2128529857135583,"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."}}