{"id":"W6957769580","doi":"10.6068/dp14ba8cd28f750","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Business Performance and Ownership - Corporate Taxation | Country: Canada | Table: Financial and taxation statistics for enterprises, by North American Industry Classification System (NAICS) | Variable: Taxable income (tax base), year-over-year change, Furniture, home furnishings, electronics and appliance stores | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-020.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxable income; Economic statistics; Official statistics; Census; Business statistics; Government (linguistics); Personal income; Year-ending; Social statistics; 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":[0.002145023,0.002438031,0.002651894,0.009407341,0.003254314,0.004863402,0.004899616,0.001541068,0.08427858],"category_scores_gemma":[0.01976224,0.001771462,0.002119796,0.04299422,0.0006036875,0.002711521,0.002340095,0.003163058,0.05416331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05363076,"about_ca_system_score_gemma":0.1364028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935313,"about_ca_topic_score_gemma":0.991595,"domain_scores_codex":[0.9952806,0.00029627,0.0005274859,0.0005798246,0.002281804,0.001034018],"domain_scores_gemma":[0.9587539,0.001416105,0.001300171,0.001122411,0.03580729,0.001599987],"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":[0.00002173379,0.000006073646,0.001004232,0.0002227757,0.00001985065,0.000006883531,0.00001841366,0.0001087742,0.000008084285,0.0003661428,0.9966054,0.001611656],"study_design_scores_gemma":[0.0001428935,0.00001216387,0.02583183,0.0009026715,0.0000752576,0.00002850002,0.0004286456,0.0005282119,0.00018335,0.0007350112,0.9710383,0.0000931817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005418574,0.0000523261,0.00002410992,0.0001335795,0.00002796848,0.00001362669,0.9987713,0.0000564049,0.0008665433],"genre_scores_gemma":[0.0007628438,0.0002816303,0.0003611512,0.0001529383,0.00001942261,0.0001084427,0.9941095,0.000100782,0.004103152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08427858,"threshold_uncertainty_score":0.3891202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131588639095473,"score_gpt":0.2444457007145061,"score_spread":0.2131298143235514,"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."}}