{"id":"W6957706531","doi":"10.6068/dp14ba840952d87","title":"Trend 1966 - 1997. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Direct selling, by method of sale and commodity | Variable: Dinnerware, kitchenware and utensils, Sales by mail | Units: $CAD x 1,000, 1966-1997. 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":"Economic statistics; Commodity; Census; Retail trade; Retail sales; Summary statistics; 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":[0.001373685,0.002715578,0.002487761,0.008313474,0.002169536,0.004271628,0.004927647,0.001277937,0.07830708],"category_scores_gemma":[0.01232778,0.001476143,0.00163549,0.04062546,0.0006378727,0.002430996,0.001795726,0.002884483,0.08536226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02626721,"about_ca_system_score_gemma":0.06377231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837362,"about_ca_topic_score_gemma":0.9797519,"domain_scores_codex":[0.9968342,0.0001554194,0.0002974422,0.0005307104,0.001428792,0.0007533779],"domain_scores_gemma":[0.9779935,0.0008228366,0.0009153023,0.0008186845,0.01842309,0.001026521],"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":[0.000021959,0.000006029954,0.0009956687,0.000156524,0.00001558459,0.000006619881,0.00001262992,0.0001230425,0.000009213842,0.0002306019,0.9973021,0.001120092],"study_design_scores_gemma":[0.0001496585,0.00001219536,0.02127495,0.0005378113,0.00004050461,0.00002297452,0.0003068012,0.0005156911,0.000178373,0.0004918457,0.9764038,0.00006540694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004573659,0.00002517895,0.00001454644,0.00004581666,0.00001397846,0.000006044907,0.9993137,0.00005049098,0.0004844861],"genre_scores_gemma":[0.0004036223,0.000101555,0.000140334,0.00004215238,0.000008664805,0.00003694817,0.9973632,0.00005592928,0.001847631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07830708,"threshold_uncertainty_score":0.2619633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720586475491215,"score_gpt":0.2631301465923145,"score_spread":0.2259242818374024,"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."}}