{"id":"W6901627472","doi":"10.6068/dp14baa3398de43","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Province: Yukon | Table: Sales of alcoholic beverages by volume, value and per capita 15 years and over, fiscal years ended March 31 | Variable: Beer, Canadian products, Total sales, Value in dollars | Units: , 1993-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-105.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Per capita; Economic statistics; Official statistics; Census; Value (mathematics); Goods and services; National accounts; Summary statistics; Index (typography)","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":[0.001682216,0.002554768,0.00283781,0.00911526,0.003393689,0.005259744,0.005194664,0.001502737,0.08425],"category_scores_gemma":[0.01582625,0.001773142,0.002002015,0.04749065,0.0006485188,0.002702815,0.002135446,0.00297882,0.06233081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05020029,"about_ca_system_score_gemma":0.1224499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944804,"about_ca_topic_score_gemma":0.993038,"domain_scores_codex":[0.9961009,0.0002074105,0.0004359813,0.0005509992,0.001721883,0.0009827374],"domain_scores_gemma":[0.9701107,0.000950222,0.001006193,0.0009249071,0.02565328,0.001354663],"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":[0.00002293989,0.000005928916,0.001009151,0.0002186823,0.00001854914,0.000006923941,0.00001836763,0.00009031912,0.00000875011,0.0003253255,0.9969284,0.001346617],"study_design_scores_gemma":[0.0001393704,0.00001115121,0.02408991,0.000737223,0.00006398526,0.00002580063,0.0004472891,0.0004271017,0.0001766187,0.000569738,0.9732316,0.00008025603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004527962,0.00003920299,0.00001605456,0.000083829,0.00001830539,0.000009735028,0.9990865,0.00004389162,0.0006572693],"genre_scores_gemma":[0.000679548,0.0002219299,0.0002495268,0.00009856883,0.00001310716,0.00007577172,0.9957138,0.00007647853,0.002871257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08425,"threshold_uncertainty_score":0.3642303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238774487417081,"score_gpt":0.2190601080450391,"score_spread":0.2066723631708683,"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."}}