{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002434919,0.001378877,0.001628158,0.0003233557,0.00115404,0.001114647,0.003020132,0.0006514955,0.0004355473],"category_scores_gemma":[0.00006860468,0.001020597,5.39036e-7,0.001368882,0.00218445,0.000527438,0.001790178,0.001557932,0.0000380781],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006376352,"about_ca_system_score_gemma":0.02044039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997262,"about_ca_topic_score_gemma":0.9999004,"domain_scores_codex":[0.9899138,0.0009111627,0.001986575,0.002923489,0.002922792,0.001342213],"domain_scores_gemma":[0.9895521,0.001375242,0.003265385,0.003930222,0.0009396075,0.0009374214],"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":[0.0002475962,0.0001583673,0.004782565,0.01061791,0.0003293199,0.0001967886,0.000004858695,0.00003165077,0.00004750083,0.0000849205,0.9834501,0.00004842208],"study_design_scores_gemma":[0.0009522289,0.00004413892,0.0007585919,0.001137112,0.0009344002,0.0001835147,0.003091802,0.01193306,1.269031e-7,5.929796e-8,0.9797706,0.001194358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002367784,0.00387707,8.925709e-7,0.000020349,0.001078012,0.002266685,0.99167,0.0001814727,0.0006687854],"genre_scores_gemma":[0.002656869,0.0003816683,0.000331773,0.0004214856,0.00009966441,0.00008395155,0.994687,0.0003736376,0.0009639625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01980275,"threshold_uncertainty_score":0.9999223,"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."}}