{"id":"W6901585970","doi":"10.6068/dp14ba8d71ac199","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Professional, Scientific and Technical Services | Country: Canada | Table: Consulting services, sales by type of client based on the North American Industry Classification System (NAICS) | Variable: Sales outside Canada (exports), Management, scientific and technical consulting 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; Publication; Socioeconomic status; Summary statistics; Financial services","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":[0.001879938,0.002572506,0.002807999,0.01032225,0.003328769,0.00547816,0.005342014,0.00169121,0.08895244],"category_scores_gemma":[0.02042192,0.001734553,0.002012516,0.04771007,0.000696616,0.002889798,0.002441457,0.00323175,0.06812078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04483822,"about_ca_system_score_gemma":0.1253726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909368,"about_ca_topic_score_gemma":0.9889956,"domain_scores_codex":[0.995585,0.0002525869,0.0004687691,0.0005911149,0.002108072,0.0009944916],"domain_scores_gemma":[0.963644,0.001421643,0.001134436,0.00111809,0.03111354,0.001568281],"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":[0.00001527195,0.000004250455,0.0006487744,0.0001623899,0.00001372507,0.000005289969,0.00001295525,0.00008060406,0.000006472745,0.0002820684,0.9977748,0.0009934283],"study_design_scores_gemma":[0.0001290341,0.000008842224,0.01484285,0.0007487878,0.00005527212,0.00002458306,0.0003805215,0.0004304528,0.0001558401,0.0006475801,0.9825023,0.00007388987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003876852,0.00004059873,0.00001798361,0.0001083349,0.00002411657,0.000009411052,0.9990132,0.00005089755,0.0006967218],"genre_scores_gemma":[0.0004817451,0.0001985564,0.000235426,0.000113356,0.00001611576,0.00007715269,0.9961286,0.0000851116,0.002663925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08895244,"threshold_uncertainty_score":0.3253255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834419983345216,"score_gpt":0.253276630623874,"score_spread":0.2249324307904218,"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."}}