{"id":"W6957778569","doi":"10.6068/dp14ba88eace523","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Professional, Scientific and Technical Services | Country: Canada | Table: Specialized design services, sales by type of client based on the North American Industry Classification System (NAICS) | Variable: Total sales to all clients, Specialized design 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":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Type of service; Service (business); Summary statistics; Socioeconomic status; Publication; National accounts","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":[0.002017766,0.002504873,0.002830875,0.01038202,0.003513222,0.005606098,0.00549954,0.001659808,0.0909634],"category_scores_gemma":[0.02128409,0.00179963,0.002092625,0.04876097,0.000698465,0.003003076,0.002427912,0.003333328,0.06541075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04968701,"about_ca_system_score_gemma":0.1361144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921605,"about_ca_topic_score_gemma":0.9903474,"domain_scores_codex":[0.9952318,0.0002692713,0.0005094227,0.0006280314,0.002294657,0.001066852],"domain_scores_gemma":[0.9595096,0.001502295,0.001218218,0.001238846,0.03487787,0.001653197],"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":[0.00001760665,0.000005073937,0.0007902227,0.0001765691,0.00001570672,0.000005612235,0.00001488117,0.00008805946,0.000007385845,0.0003204836,0.9974089,0.001149506],"study_design_scores_gemma":[0.0001295798,0.000009568618,0.01696506,0.0007479506,0.00005817795,0.00002472935,0.0004030766,0.0004408862,0.000164982,0.0006727353,0.9803053,0.00007807963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004201411,0.00004054593,0.00001962212,0.0001083525,0.00002436794,0.00001100899,0.9989725,0.00005027764,0.0007312078],"genre_scores_gemma":[0.0005505515,0.0002079166,0.0002698558,0.0001191827,0.00001595929,0.00008955969,0.9958032,0.0000881363,0.002855764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0909634,"threshold_uncertainty_score":0.3605061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686658342905542,"score_gpt":0.2538253217960971,"score_spread":0.2169587383670417,"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."}}