{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001996492,0.002550604,0.002938854,0.009433589,0.003308875,0.005063065,0.005502277,0.001671183,0.08921845],"category_scores_gemma":[0.02098403,0.001693433,0.002250483,0.04397813,0.0006662015,0.002883716,0.002356748,0.003414606,0.06377932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04359728,"about_ca_system_score_gemma":0.125613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911307,"about_ca_topic_score_gemma":0.9897058,"domain_scores_codex":[0.9958658,0.0002582177,0.0004606918,0.0005911855,0.001889888,0.0009341362],"domain_scores_gemma":[0.9653409,0.001377562,0.001059914,0.001102825,0.02962197,0.001496821],"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":[0.00001669858,0.000004383363,0.0006999263,0.0001986021,0.00001637271,0.000005546943,0.00001364546,0.00008296372,0.00000678682,0.0002710443,0.9975949,0.001089025],"study_design_scores_gemma":[0.0001560743,0.00001028094,0.01663222,0.0009154456,0.00007584998,0.00002823389,0.0003884351,0.0004681451,0.0001500018,0.0007343298,0.9803604,0.0000805732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003909259,0.0000502964,0.00002020041,0.0001181724,0.00002687301,0.00001029637,0.9990386,0.00004917676,0.0006472352],"genre_scores_gemma":[0.000549329,0.0002372205,0.0002718432,0.0001342473,0.00001837522,0.00009029888,0.9960074,0.00008796827,0.002603271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08921845,"threshold_uncertainty_score":0.3163219,"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."}}