{"id":"W6920567916","doi":"10.6068/dp14ba82b01e935","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Table: Sales of alcoholic beverages by volume, value and per capita 15 years and over, fiscal years ended March 31 | Variable: Beer, Import products, Total sales, Value in dollars | 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; Per capita; Tourism; Economic statistics; Census; Summary statistics; Accommodation; Hospitality; Descriptive 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":[0.001885147,0.002600579,0.002797526,0.009114546,0.003060943,0.005052361,0.005204004,0.001473807,0.0921113],"category_scores_gemma":[0.01730483,0.001795709,0.001985342,0.04719575,0.0006511966,0.00272621,0.00210264,0.00317881,0.0648486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04591071,"about_ca_system_score_gemma":0.1214495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939383,"about_ca_topic_score_gemma":0.9919857,"domain_scores_codex":[0.9959794,0.0002362473,0.0004444783,0.0005537877,0.001826116,0.000959902],"domain_scores_gemma":[0.9683205,0.001083833,0.001048215,0.0009202425,0.02709983,0.001527403],"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":[0.00002209098,0.000005760508,0.0008840135,0.0002169737,0.00001734035,0.000006270582,0.00001745044,0.00009469908,0.000007968438,0.0002981853,0.9970866,0.001342618],"study_design_scores_gemma":[0.0001481837,0.00001206985,0.02174711,0.0008095397,0.00006438325,0.00002594898,0.0004037753,0.0004610879,0.0001598804,0.000596393,0.9754941,0.00007740769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004364028,0.0000445974,0.00001828245,0.00009592574,0.00001992403,0.00001108029,0.9990018,0.00004894191,0.0007157223],"genre_scores_gemma":[0.0006733361,0.000266264,0.0002810533,0.0001189546,0.00001603113,0.00008787675,0.9952237,0.0000972119,0.003235612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0921113,"threshold_uncertainty_score":0.3331071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827326007980462,"score_gpt":0.2313556276724525,"score_spread":0.2130823675926479,"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."}}