{"id":"W6958088657","doi":"10.6068/dp14ba8df3a3057","title":"Trend 2010 - 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: Repair and maintenance, Direct mail advertising and advertising material distribution services | Units: %, 2010-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-013.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Alexander von Humboldt Studies","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Publication; Socioeconomic status; Financial services; Service (business); Distribution (mathematics)","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":[0.000648789,0.0008748851,0.001261475,0.0001026793,0.001123874,0.0004787206,0.0006936206,0.0008078899,0.000223957],"category_scores_gemma":[0.00002369898,0.0006979671,3.840272e-7,0.0002784564,0.001131182,0.0007386254,0.001446043,0.0009663861,0.000006229449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059646,"about_ca_system_score_gemma":0.002229204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957754,"about_ca_topic_score_gemma":0.9905182,"domain_scores_codex":[0.9952285,0.0006067941,0.001088672,0.001865489,0.0003823332,0.0008282433],"domain_scores_gemma":[0.9967565,0.0003337381,0.001115194,0.001258478,0.0002565962,0.0002795107],"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":[0.0001909377,0.00004074939,0.003707322,0.004517017,0.0004182236,0.00007406411,0.0000198423,8.644565e-7,0.0004125023,0.00001738202,0.9904194,0.000181721],"study_design_scores_gemma":[0.001073102,0.00005282047,0.002690906,0.0007935091,0.0006547255,0.0008295986,0.002153484,0.001169746,5.834295e-7,8.089876e-8,0.9897113,0.0008700899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001473992,0.01893014,0.000001399064,0.00001417426,0.001144688,0.0008751267,0.9772462,0.000169497,0.0001447229],"genre_scores_gemma":[0.003774844,0.002979659,0.00009606094,0.0001285926,0.00005936321,0.00003300967,0.9908141,0.0001408995,0.001973414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01595049,"threshold_uncertainty_score":0.9995471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360184089350547,"score_gpt":0.2250247761442668,"score_spread":0.2114229352507613,"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."}}