{"id":"W6958118628","doi":"10.6068/dp14ba8e297ba8","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Professional, Scientific and Technical Services | Country: Canada | Table: Advertising and related services, operating expenses, by North American Industry Classification System (NAICS) | Variable: Amortization and depreciation of tangible and intangible assets, Advertising and related services | Units: %, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-013.","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; Official statistics; Census; Descriptive statistics; Publication; Service (business); Socioeconomic status; National accounts; 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":[0.002004131,0.00254455,0.002755304,0.01000382,0.003196861,0.005229115,0.005370268,0.001697702,0.08666901],"category_scores_gemma":[0.02071265,0.001777774,0.002139336,0.04596284,0.0006635872,0.00277769,0.002286775,0.003351894,0.06021199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05113692,"about_ca_system_score_gemma":0.1361596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926324,"about_ca_topic_score_gemma":0.9907374,"domain_scores_codex":[0.9953856,0.0002675557,0.0005098699,0.0005812189,0.00223434,0.001021465],"domain_scores_gemma":[0.9601694,0.00149294,0.001172948,0.001087043,0.03450812,0.001569538],"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":[0.00001620116,0.000004833672,0.0007184151,0.0001936581,0.00001532547,0.00000585658,0.0000144911,0.00009114906,0.000007163154,0.0003163754,0.9974516,0.001164952],"study_design_scores_gemma":[0.0001292952,0.000009472386,0.01707118,0.0008382291,0.00006402376,0.00002638495,0.0004023222,0.0004400994,0.0001601835,0.0006655263,0.9801174,0.00007592511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000433445,0.00005044274,0.00002044442,0.0001228904,0.00002677451,0.00001089641,0.998935,0.00004927494,0.0007408891],"genre_scores_gemma":[0.0005894277,0.000265163,0.0002843401,0.0001362441,0.00001866209,0.00008869354,0.9954413,0.00008687693,0.003089311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08666901,"threshold_uncertainty_score":0.3710261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417713464665292,"score_gpt":0.2395021953903792,"score_spread":0.2253250607437263,"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."}}