{"id":"W6976816685","doi":"10.6068/dp14baa2e935446","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Province: Ontario | 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: 075-001-009.","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; Economic statistics; Tourism; Census; Per capita; 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":[0.001898344,0.00254996,0.002904262,0.008942839,0.003188332,0.004941051,0.005092505,0.001464406,0.09205551],"category_scores_gemma":[0.01781532,0.001859005,0.002002869,0.04831607,0.0006834245,0.002722031,0.002078035,0.002908075,0.06245391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05140572,"about_ca_system_score_gemma":0.1283229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943807,"about_ca_topic_score_gemma":0.9928418,"domain_scores_codex":[0.9959559,0.0002224832,0.0004679869,0.0005617887,0.001857719,0.0009341022],"domain_scores_gemma":[0.9665558,0.001125196,0.001173534,0.0009643872,0.02862416,0.001557024],"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":[0.00002209579,0.000005193362,0.0008904712,0.0002331038,0.00001763584,0.000006320016,0.00001886985,0.00008806107,0.000008497037,0.0002923554,0.9971465,0.001270823],"study_design_scores_gemma":[0.0001513325,0.00001108704,0.02168441,0.0007715372,0.00006585407,0.00002481213,0.0003800498,0.0004168061,0.0001558917,0.0005496706,0.9757155,0.00007311004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004301638,0.00004470296,0.00001740811,0.00009830353,0.00001976964,0.00001075073,0.9990047,0.00004404736,0.0007174177],"genre_scores_gemma":[0.0007306992,0.0002921633,0.0002860349,0.0001234697,0.00001767163,0.00009679375,0.9948905,0.00009864948,0.003464064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09205551,"threshold_uncertainty_score":0.3729764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685845240684603,"score_gpt":0.2184327476964548,"score_spread":0.2015742952896087,"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."}}