{"id":"W6901336981","doi":"10.6068/dp14ba7d0345391","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: Sales outside Canada (exports), Graphic 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Service (business); Type of service; Summary statistics; Goods and services; Socioeconomic status; 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":[0.002035955,0.002492003,0.002810296,0.0103888,0.003460247,0.005415551,0.005427752,0.00165178,0.09825663],"category_scores_gemma":[0.02141847,0.001819829,0.002056594,0.04903553,0.0006824313,0.002994877,0.002442226,0.003271755,0.06657734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0488966,"about_ca_system_score_gemma":0.1376825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918258,"about_ca_topic_score_gemma":0.9896168,"domain_scores_codex":[0.9951835,0.0002754143,0.0005215009,0.0006217583,0.002326745,0.001071027],"domain_scores_gemma":[0.9600944,0.001484395,0.001200097,0.001192887,0.03438918,0.001638949],"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":[0.00001732847,0.000004925612,0.0007597963,0.0001838653,0.00001485617,0.000005651239,0.00001526418,0.0000867466,0.000007418538,0.0003230006,0.9973967,0.001184517],"study_design_scores_gemma":[0.0001279232,0.000009320076,0.01631993,0.0007658221,0.0000573072,0.00002412108,0.0004023141,0.0004073904,0.0001570051,0.0006659981,0.9809875,0.00007524455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004176917,0.0000405322,0.00002127055,0.0001133188,0.00002587728,0.00001222536,0.9988716,0.00005254103,0.0008207423],"genre_scores_gemma":[0.00060398,0.0002296457,0.00031508,0.0001351233,0.00001780724,0.0001069507,0.9951028,0.0001039395,0.003384669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09825663,"threshold_uncertainty_score":0.3547714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156713047571096,"score_gpt":0.2513064631855204,"score_spread":0.2097393327098094,"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."}}