{"id":"W6901794483","doi":"10.6068/dp14baa33b6ba55","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Province: Nunavut | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Closing inventory, Chain stores, Beer, wine and liquor stores | Units: , 1999-2003. 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; Index (typography); Official statistics; Retail industry; Year-ending","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":[0.001449394,0.002807489,0.002603011,0.008206534,0.002281832,0.004288817,0.005223688,0.001257029,0.05796744],"category_scores_gemma":[0.01177361,0.001505005,0.001825764,0.04113763,0.0005780443,0.002309925,0.001839789,0.002705462,0.06269872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02990531,"about_ca_system_score_gemma":0.06952152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987711,"about_ca_topic_score_gemma":0.9848626,"domain_scores_codex":[0.996671,0.0001779067,0.0003475483,0.0005374936,0.001507976,0.000758054],"domain_scores_gemma":[0.9768574,0.0007318978,0.0009363459,0.0007614911,0.01971273,0.001000034],"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":[0.00002845897,0.000006687506,0.001242417,0.0001775877,0.00001935092,0.000007114334,0.00001215075,0.0001173522,0.00001014634,0.0001899041,0.9971169,0.001071963],"study_design_scores_gemma":[0.0002220789,0.0000175041,0.03628544,0.0007417393,0.00006186624,0.00003132258,0.0004364771,0.0007275201,0.0002489237,0.0005077039,0.9606335,0.00008606004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005246433,0.00002523956,0.00001080825,0.00004758625,0.00001454022,0.000006831055,0.9993833,0.00003765097,0.0004214765],"genre_scores_gemma":[0.0004109912,0.00009738442,0.0001172329,0.00004828162,0.000008710502,0.00003897036,0.9975861,0.00003916641,0.001653146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05796744,"threshold_uncertainty_score":0.2169793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317753911908802,"score_gpt":0.2405040628765595,"score_spread":0.2073265237574715,"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."}}