{"id":"W6976903849","doi":"10.6068/dp14ba817b51485","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Table: Sales of alcoholic beverages of liquor authorities, wineries and breweries, by value and volume, fiscal years ended March 31 | Variable: Other wines, Total products, Volume in litres | Units: , 1993-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-009.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Tourism; Economic statistics; Census; Accommodation; Hospitality; Summary statistics; Social statistics; Hospitality 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":[0.00170163,0.002667804,0.002735822,0.009111635,0.003072517,0.005130761,0.005114152,0.001502593,0.08284996],"category_scores_gemma":[0.01580584,0.001726767,0.001996337,0.04574872,0.000667692,0.002612897,0.002087751,0.003065835,0.0603216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0449568,"about_ca_system_score_gemma":0.1125757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940122,"about_ca_topic_score_gemma":0.9925779,"domain_scores_codex":[0.9962379,0.0002153623,0.0004027866,0.0005312391,0.001697011,0.0009156864],"domain_scores_gemma":[0.9718223,0.0009966465,0.0009834343,0.0008194571,0.02400899,0.001369068],"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":[0.00002290962,0.00000552549,0.0008906329,0.0002209957,0.00001798277,0.000006567479,0.00001737135,0.00009889468,0.000008322595,0.0002864575,0.9972568,0.001167561],"study_design_scores_gemma":[0.0001502307,0.00001195502,0.02179733,0.0007742289,0.0000648883,0.0000260253,0.0004354863,0.0004779875,0.0001699285,0.000545985,0.9754694,0.0000767354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004444344,0.00004271725,0.00001451074,0.00009061932,0.00001845007,0.000008762557,0.999136,0.00004154584,0.0006029207],"genre_scores_gemma":[0.0006431272,0.0002393142,0.0002258562,0.0001022355,0.00001448624,0.00007087396,0.9957623,0.00007817138,0.00286363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08284996,"threshold_uncertainty_score":0.3261859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949154076858618,"score_gpt":0.2285642244849122,"score_spread":0.209072683716326,"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."}}