{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001232077,0.0007573761,0.0009808713,0.0001878224,0.0004557541,0.0008812478,0.002834512,0.0004360604,0.0002922986],"category_scores_gemma":[0.0000231351,0.0005291523,4.483457e-7,0.0007272981,0.0005215084,0.0005372523,0.0007884328,0.000714184,0.00003884086],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002146786,"about_ca_system_score_gemma":0.01059949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857057,"about_ca_topic_score_gemma":0.9668542,"domain_scores_codex":[0.9941661,0.0009357342,0.001026854,0.001661865,0.001509205,0.0007002873],"domain_scores_gemma":[0.9945645,0.0006402812,0.001459738,0.002325482,0.0005003301,0.0005096066],"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":[0.0002674412,0.000114634,0.0001482853,0.002459739,0.0001206953,0.00003447567,0.000008380942,0.00007087537,0.00002031129,0.00007563672,0.9963869,0.0002925803],"study_design_scores_gemma":[0.0005864238,0.00008217966,0.0000816368,0.0003545475,0.000253894,0.00009817471,0.0004276396,0.04011642,3.146894e-7,2.320731e-7,0.957347,0.0006515278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001296104,0.001409575,0.0004059501,0.00002530444,0.001570095,0.001292548,0.9949387,0.0001138633,0.0002310097],"genre_scores_gemma":[0.00008638689,0.0002755289,0.004367164,0.0005077163,0.0001988062,0.00004013236,0.9936032,0.0001120847,0.0008090358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04004555,"threshold_uncertainty_score":0.999716,"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."}}