{"id":"W6920105777","doi":"10.6068/dp14ba827d79026","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Table: Sales of alcoholic beverages of liquor authorities, wineries and breweries, by value and volume, fiscal years ended March 31 | Variable: Liqueurs, Total products, Volume in litres | 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); Economic statistics; Official statistics; Census; Fiscal year; Index (typography); Value (mathematics); Goods and services; State (computer science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001610906,0.002531255,0.002713322,0.009309472,0.003323797,0.005228606,0.005001378,0.001417187,0.07591821],"category_scores_gemma":[0.01425015,0.001668901,0.001940045,0.04518008,0.0006437221,0.002550967,0.002048926,0.003009253,0.05735927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05015002,"about_ca_system_score_gemma":0.1182447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995173,"about_ca_topic_score_gemma":0.9940701,"domain_scores_codex":[0.9962459,0.0001914112,0.0003775742,0.0005205448,0.001723087,0.0009414251],"domain_scores_gemma":[0.9731073,0.0008462927,0.0009449337,0.0007887334,0.02300765,0.00130506],"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":[0.00002361075,0.000005935206,0.001028801,0.0002062712,0.00001857422,0.000007025032,0.0000184572,0.00009244545,0.000008790457,0.0003146325,0.9969264,0.001349039],"study_design_scores_gemma":[0.0001370463,0.00001187147,0.02624049,0.0007301697,0.00006520481,0.00002661338,0.0004671622,0.000491056,0.0001855536,0.0005607788,0.9710034,0.00008059286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005211582,0.00004398807,0.0000155763,0.0000886197,0.00001853106,0.000008908893,0.9990939,0.00004310992,0.0006352201],"genre_scores_gemma":[0.0007335839,0.0002379806,0.0002385539,0.0000971573,0.0000136707,0.00006456221,0.9955225,0.0000698856,0.003022129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9240818,"threshold_uncertainty_score":0.3638656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411157719321514,"score_gpt":0.2246740940936256,"score_spread":0.2105625169004104,"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."}}