{"id":"W6957437967","doi":"10.6068/dp14ba7fcd6ec64","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Table: Imports and exports of alcoholic beverages, by value and volume for selected countries, fiscal years ended March 31 | Variable: Wines, Exports, 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; Census; Economic statistics; Tourism; Summary statistics; Accommodation; Hospitality; Value (mathematics); Descriptive statistics","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":[0.002098423,0.002662791,0.002751413,0.009524298,0.003561243,0.005278091,0.005148337,0.001514412,0.0924964],"category_scores_gemma":[0.01864022,0.001819249,0.002177208,0.0474344,0.0006823806,0.002847389,0.002327479,0.003192037,0.0582018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05265627,"about_ca_system_score_gemma":0.142362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995083,"about_ca_topic_score_gemma":0.9934017,"domain_scores_codex":[0.9955617,0.0002575875,0.0004785125,0.0005716094,0.002060148,0.001070413],"domain_scores_gemma":[0.9659297,0.001063154,0.001030619,0.0009315776,0.02945059,0.001594438],"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":[0.00002462506,0.000005522458,0.0009175277,0.0002536729,0.00001945662,0.000006958674,0.00001978185,0.00009690973,0.000009420034,0.0003651381,0.9967781,0.001503007],"study_design_scores_gemma":[0.0001323569,0.00001179208,0.0221844,0.0008665218,0.00007118141,0.00002608752,0.0004320423,0.0004039946,0.0001704169,0.0005954856,0.9750246,0.00008109481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004689959,0.00005416995,0.00002126738,0.0001196355,0.00002710031,0.00001233183,0.9987925,0.00005330033,0.0008727288],"genre_scores_gemma":[0.000819492,0.0003352061,0.0003552354,0.0001509575,0.00001939677,0.0001058507,0.993991,0.000116046,0.00410679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0924964,"threshold_uncertainty_score":0.3820498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721313559745406,"score_gpt":0.2283905842939062,"score_spread":0.2111774486964522,"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."}}