{"id":"W6976322678","doi":"10.6068/dp14ba85591da82","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: Cost of goods sold, Home furnishings stores, Chain 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); Goods and services; Financial services; 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":[0.001322106,0.002677325,0.002540034,0.008298859,0.002250643,0.00461013,0.00517817,0.001349956,0.07366633],"category_scores_gemma":[0.01200849,0.001499144,0.001831913,0.04052583,0.0005682018,0.002530572,0.001926493,0.002748406,0.07521825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0269025,"about_ca_system_score_gemma":0.06262293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855583,"about_ca_topic_score_gemma":0.9834396,"domain_scores_codex":[0.9969845,0.0001582626,0.0002924027,0.0004662685,0.00135552,0.000743031],"domain_scores_gemma":[0.9786044,0.0007716134,0.0008446444,0.0007287118,0.01807826,0.0009723638],"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":[0.00002000975,0.000005682182,0.0009575739,0.0001550007,0.00001557728,0.00000621251,0.00001139806,0.00009883319,0.000007285248,0.0001962146,0.9975001,0.001026011],"study_design_scores_gemma":[0.0001800927,0.00001403409,0.02593808,0.0007214298,0.00005491155,0.00002964715,0.0004007594,0.0006675471,0.0001918101,0.0005570609,0.9711633,0.00008121649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004990914,0.00002704602,0.0000123538,0.00005437463,0.00001428422,0.000006319322,0.9993256,0.00004333511,0.0004667952],"genre_scores_gemma":[0.0003980706,0.0001075854,0.0001285819,0.00005226366,0.000009210095,0.00003876293,0.997492,0.00004865746,0.001724986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07366633,"threshold_uncertainty_score":0.2464384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709443742549209,"score_gpt":0.2493815735077853,"score_spread":0.2122871360822932,"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."}}