{"id":"W6901604163","doi":"10.6068/dp14ba83ed44f17","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Product | Country: Canada | Table: Sales of alcoholic beverages of liquor authorities, wineries and breweries, by value and volume, fiscal years ended March 31 | Variable: Cider, wines, Canadian products, Value in dollars | Units: , 1993-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-176.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Economic statistics; Commodity; Census; Retail sales; Distribution (mathematics); Official statistics; Summary statistics; Value (mathematics)","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":[0.001488815,0.002684763,0.002589608,0.008953207,0.002757445,0.004688887,0.005000524,0.001360622,0.07365793],"category_scores_gemma":[0.01318308,0.001589559,0.001919236,0.04334865,0.0006042335,0.002430619,0.001876627,0.002796903,0.06193026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03688759,"about_ca_system_score_gemma":0.08960506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926037,"about_ca_topic_score_gemma":0.990688,"domain_scores_codex":[0.9967107,0.0001787192,0.0003322755,0.000489314,0.00150693,0.0007820253],"domain_scores_gemma":[0.9770617,0.0007294253,0.0008684626,0.0006848645,0.0196107,0.001044841],"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":[0.00002472373,0.000005565616,0.001016875,0.0002046258,0.00001894692,0.000007168563,0.0000151491,0.0001023752,0.000008404767,0.0002649605,0.9970773,0.00125392],"study_design_scores_gemma":[0.0001673226,0.00001384328,0.02685767,0.0007618298,0.00006595921,0.00003000118,0.0004244826,0.0005548667,0.0001926999,0.0005571774,0.9702907,0.00008349562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004936516,0.00003977292,0.0000145019,0.00007248428,0.00001659407,0.000008153836,0.9991887,0.00004347885,0.0005668774],"genre_scores_gemma":[0.0005723807,0.0002054775,0.000200315,0.00007874092,0.00001255327,0.00005630377,0.9963618,0.00006290173,0.002449476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07365793,"threshold_uncertainty_score":0.2676395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804746286385894,"score_gpt":0.2402421489504644,"score_spread":0.2121946860866054,"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."}}