{"id":"W6939280289","doi":"10.6068/dp14ba81d3ece18","title":"Trend 1989 - 2012. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Table: Volume of sales of alcoholic beverages in litres of absolute alcohol and per capita 15 years and over, fiscal years ended March 31 | Variable: Total alcoholic beverages, Total sales | Units: Litres x 1,000, 1989-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-105.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Government (linguistics); Economic statistics; Census; Official statistics; Goods and services; State (computer science); Socioeconomic status; Quarter (Canadian coin); Commission","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":[0.001646468,0.00233332,0.002580537,0.008704,0.003258606,0.004748049,0.005120364,0.001357605,0.07897835],"category_scores_gemma":[0.01478817,0.001616657,0.00189698,0.04215385,0.0006159821,0.002476277,0.002068858,0.002895316,0.05475772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05039893,"about_ca_system_score_gemma":0.1171875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949885,"about_ca_topic_score_gemma":0.9936773,"domain_scores_codex":[0.9963647,0.0001929296,0.0003813108,0.0004852437,0.001701013,0.0008749193],"domain_scores_gemma":[0.9710311,0.0008667024,0.0009428299,0.0008199476,0.02503029,0.001309073],"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":[0.00002138252,0.000006098675,0.001015946,0.0002017781,0.00001697571,0.000006442929,0.00001826775,0.00008402637,0.000007881134,0.0003278616,0.9969003,0.001392962],"study_design_scores_gemma":[0.0001317456,0.00001119275,0.02691275,0.0007192053,0.0000602666,0.00002555068,0.0004272204,0.0004316186,0.0001709769,0.0005580986,0.970476,0.00007531996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000518181,0.00004271584,0.00001648803,0.00009266241,0.00001944345,0.00001042959,0.9990278,0.00004283811,0.0006958229],"genre_scores_gemma":[0.0007713726,0.0002425943,0.0002644999,0.0001063472,0.00001531006,0.00007961353,0.9950754,0.00007182133,0.003373091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07897835,"threshold_uncertainty_score":0.3656716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671797828357338,"score_gpt":0.2379460629240405,"score_spread":0.2212280846404671,"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."}}