{"id":"W6920137184","doi":"10.6068/dp14baa2ec1d364","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Province: Alberta | 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":[0.001906134,0.00266271,0.002879554,0.009118712,0.003073782,0.005133514,0.005387567,0.001480087,0.08993046],"category_scores_gemma":[0.0164131,0.001842712,0.00193615,0.04878885,0.0006594631,0.002511007,0.001998769,0.003032716,0.06369364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04814252,"about_ca_system_score_gemma":0.1241915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941971,"about_ca_topic_score_gemma":0.9926558,"domain_scores_codex":[0.9961638,0.0002067837,0.000403795,0.0005333094,0.001808272,0.0008840351],"domain_scores_gemma":[0.9696043,0.00105437,0.0009942787,0.0008995106,0.02598321,0.001464309],"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":[0.00002201545,0.000005347453,0.0008727983,0.0002149604,0.00001719531,0.000006587939,0.00001721518,0.00009942611,0.000008873794,0.0002994582,0.9970948,0.001341336],"study_design_scores_gemma":[0.0001551833,0.00001132049,0.02146602,0.00077691,0.00006626268,0.00002607598,0.000391742,0.0004602153,0.000164148,0.0006166748,0.9757893,0.00007609055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004493031,0.0000471968,0.00001867014,0.00009603935,0.00002239776,0.00001038353,0.9989287,0.00004994326,0.000781772],"genre_scores_gemma":[0.0006866645,0.0002739218,0.000295678,0.0001192084,0.00001711181,0.00007993482,0.9949844,0.0000984646,0.003444501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08993046,"threshold_uncertainty_score":0.3493001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516162064951158,"score_gpt":0.2206491176629006,"score_spread":0.205487497013389,"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."}}