{"id":"W6957865222","doi":"10.6068/dp14ba7ce6d8c21","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Economic Accounts - Government Financial Statistics | Country: Canada | Table: Sales of alcoholic beverages of liquor authorities, wineries and breweries, by value and volume, fiscal years ended March 31 | Variable: Alcohol, Canadian products, Value in dollars | Units: , 1993-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-060.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Phenothiazines and Benzothiazines Synthesis and Activities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Government (linguistics); Descriptive statistics; Revenue; National accounts; Census; Value (mathematics); Government revenue; Summary 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003720101,0.0005426378,0.0008878323,0.0000608169,0.00008348117,0.0001011218,0.0007639158,0.0003963312,0.0002163845],"category_scores_gemma":[0.0001378779,0.0005612198,3.621405e-7,0.00009972749,0.0003973128,0.00005886155,0.0004496633,0.0003068894,9.520115e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973275,"about_ca_system_score_gemma":0.01429479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995899,"about_ca_topic_score_gemma":0.9992838,"domain_scores_codex":[0.9971321,0.0001821923,0.0007108633,0.0008505313,0.0005207453,0.0006035833],"domain_scores_gemma":[0.9978641,0.0001710136,0.0004865299,0.001096245,0.00004924256,0.0003328222],"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":[0.0001306694,0.00004417701,0.00009854494,0.0006472266,0.0001948209,0.00006673596,0.000003592587,0.00002370808,0.0001503922,0.0005297906,0.9979153,0.0001950406],"study_design_scores_gemma":[0.0005820103,0.000124431,0.00009601941,0.00004739748,0.000182852,0.0000502407,0.0001173377,0.0003477004,0.000002724725,9.131614e-7,0.9978442,0.0006041994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007356905,0.00771636,0.00000331883,0.000009368915,0.0004657041,0.0003624448,0.9908878,0.000006019633,0.0004753887],"genre_scores_gemma":[0.0003280777,0.003878032,0.0003119131,0.000114668,0.000251801,0.00001329658,0.9916505,0.0001135458,0.003338219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01409746,"threshold_uncertainty_score":0.9996839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416051091278479,"score_gpt":0.2206515390936731,"score_spread":0.2064910281808884,"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."}}