{"id":"W6938990706","doi":"10.6068/dp14ba86c33465","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, method of sale by North American Industry Classification System (NAICS) and store type | Variable: In-store sales, Miscellaneous store retailers, Non-chain stores | Units: $CAD x 1,000, 2010-2011. 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); Official statistics; 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":[0.001568309,0.002691093,0.002676348,0.008597638,0.002221486,0.004367766,0.005347343,0.001287855,0.07165509],"category_scores_gemma":[0.01354922,0.00159826,0.002045501,0.04226676,0.0005556433,0.002454645,0.001904434,0.0029378,0.06940777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02965232,"about_ca_system_score_gemma":0.07492083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867052,"about_ca_topic_score_gemma":0.9846413,"domain_scores_codex":[0.9965832,0.0001836058,0.000356563,0.000516672,0.001602283,0.0007577834],"domain_scores_gemma":[0.9741637,0.0008591938,0.0009285994,0.0007942929,0.02220031,0.001053956],"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":[0.0000229026,0.000005557996,0.0009832958,0.000191023,0.00001842216,0.000006090187,0.00001081229,0.00009485614,0.000008127303,0.0001865898,0.9973259,0.001146399],"study_design_scores_gemma":[0.0002171097,0.0000163669,0.03369265,0.0008507623,0.00007116911,0.00003163726,0.0004043472,0.0006671735,0.0002089986,0.0005606529,0.9631892,0.00008988172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005136273,0.0000330893,0.00001389372,0.00006053337,0.00001789161,0.000007626529,0.9992657,0.00004612137,0.0005036914],"genre_scores_gemma":[0.0004255347,0.0001311529,0.0001536799,0.00006363884,0.00001109705,0.00004607395,0.9971176,0.00005540233,0.001995795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07165509,"threshold_uncertainty_score":0.2397102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879964692299675,"score_gpt":0.2572464672957898,"score_spread":0.2184468203727931,"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."}}