{"id":"W6901699452","doi":"10.6068/dp14ba8b8f5fb8","title":"Trend 1981 - 2012. Statistics Canada. CANSIM: Business, Consumer and Property Services - General | Country: Canada | Table: Detailed household final consumption expenditure | Variable: Non-alcoholic beverages (x 1,000,000), 2007 constant prices | Units: $CAD, 1981-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-008.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Consumption (sociology); Census; Official statistics; National accounts; Property (philosophy); Publication; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771348,0.002366947,0.002605496,0.008861914,0.003271671,0.004745571,0.0049611,0.001478075,0.1140715],"category_scores_gemma":[0.01590968,0.001645301,0.002015924,0.04228844,0.0006248037,0.002650642,0.002104869,0.002978786,0.06750251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05308733,"about_ca_system_score_gemma":0.1306291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949227,"about_ca_topic_score_gemma":0.9935089,"domain_scores_codex":[0.9963509,0.0002069813,0.0003511817,0.0004558786,0.001741363,0.0008937139],"domain_scores_gemma":[0.967559,0.0009912592,0.0008740237,0.0008548801,0.028241,0.001479699],"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":[0.00001980001,0.000005635729,0.0007844246,0.0002234002,0.00001522167,0.000006360602,0.00001873192,0.00008772899,0.000008991238,0.0003422762,0.9969757,0.001511765],"study_design_scores_gemma":[0.000121337,0.00001106994,0.02308867,0.000713043,0.00005608619,0.00002488938,0.00042192,0.0003694601,0.0001596711,0.0005327574,0.9744262,0.00007491482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005422155,0.00005009597,0.00002183557,0.0001094488,0.00002586451,0.00001468226,0.998569,0.00005816357,0.001096691],"genre_scores_gemma":[0.0008580171,0.0002919137,0.0003298016,0.0001441518,0.00001961789,0.0001164517,0.9925804,0.0001214477,0.005538349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1140715,"threshold_uncertainty_score":0.3851774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444169990528329,"score_gpt":0.2449683071814509,"score_spread":0.2105266072761676,"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."}}