{"id":"W6957949539","doi":"10.6068/dp14ba845e82a92","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: Coolers, wines, Canadian products, 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); Economic statistics; Official statistics; Census; Value (mathematics); Index (typography); Goods and services; Fiscal year","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":[0.001642935,0.002600642,0.002779588,0.009663907,0.003269635,0.005367571,0.005126229,0.001507366,0.08124413],"category_scores_gemma":[0.01517163,0.001723664,0.001944468,0.04809065,0.0006557347,0.00260521,0.002105274,0.003128567,0.06221396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0479071,"about_ca_system_score_gemma":0.1177421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943844,"about_ca_topic_score_gemma":0.9931245,"domain_scores_codex":[0.9961617,0.0001946591,0.0003905389,0.000529415,0.001776459,0.0009472848],"domain_scores_gemma":[0.9717738,0.0009338467,0.001024662,0.000837093,0.02404606,0.001384596],"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":[0.00002098299,0.000005567246,0.0008844974,0.000194683,0.00001669353,0.000006197157,0.00001612793,0.00008378411,0.000007791234,0.0002771778,0.9973152,0.001171223],"study_design_scores_gemma":[0.0001453132,0.000011483,0.02355113,0.000732714,0.00006211892,0.00002475831,0.0004343719,0.0004556911,0.0001746319,0.0005637072,0.9737663,0.00007779645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004629021,0.00004094696,0.00001410998,0.00008644975,0.00001783394,0.000008786688,0.9991263,0.0000430485,0.0006163697],"genre_scores_gemma":[0.0006171044,0.0002223,0.0002155855,0.00009536008,0.00001378209,0.00006519361,0.9958897,0.00007013965,0.002810836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08124413,"threshold_uncertainty_score":0.3475919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536764820280183,"score_gpt":0.2205860019434129,"score_spread":0.205218353740611,"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."}}