{"id":"W6920587569","doi":"10.6068/dp14ba86c377a7","title":"Trend 2000 - 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: Opening inventory, Non-chain stores, General merchandise stores | Units: , 2000-2009. 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); 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":[0.001417966,0.002718074,0.002561448,0.008533048,0.002222012,0.004606233,0.005204189,0.001343157,0.06951922],"category_scores_gemma":[0.01283807,0.001561508,0.001830174,0.04055786,0.0005908306,0.002512269,0.001973717,0.002832917,0.07552454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02623157,"about_ca_system_score_gemma":0.06252326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847701,"about_ca_topic_score_gemma":0.981672,"domain_scores_codex":[0.9967601,0.0001709948,0.0003303642,0.0005337538,0.001437932,0.0007669858],"domain_scores_gemma":[0.9765735,0.0008459396,0.0009467083,0.0008189183,0.01977796,0.001037015],"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":[0.00002249903,0.00000594595,0.001017483,0.000165015,0.00001686059,0.000006557434,0.00001223075,0.0001034452,0.000008689624,0.0001992161,0.9974366,0.001005532],"study_design_scores_gemma":[0.0001984242,0.00001569788,0.02948703,0.0007427108,0.00005470166,0.00003053638,0.0004057199,0.0006879737,0.0002132176,0.000568663,0.9675075,0.0000879002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004535434,0.00002219151,0.00001164437,0.00004512822,0.00001341769,0.000006265675,0.9994019,0.00004221423,0.0004118133],"genre_scores_gemma":[0.0003478792,0.00008713098,0.0001214137,0.00004602769,0.000008211808,0.00003833092,0.9977355,0.00004689314,0.00156853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06951922,"threshold_uncertainty_score":0.232565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407801760900508,"score_gpt":0.248243604293381,"score_spread":0.2074634282033302,"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."}}