{"id":"W6920495824","doi":"10.6068/dp14ba8f6990c75","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Information and Communications Technology - Information and Communications Technology Sector | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of the plant's total revenue that came from the sale of products to clients by geographical markets | Variable: Sale of products to clients in Europe, Sawmills and wood preservation, 50% to 74% of the plant's total revenue, All plants | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-127.","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; Official statistics; Census; Revenue; Summary statistics; Descriptive statistics; Telephone number; Information technology; Business statistics","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":[0.002223161,0.002477112,0.002817553,0.01002719,0.003873226,0.005279708,0.005003419,0.001609179,0.08767557],"category_scores_gemma":[0.02141542,0.001589833,0.002088862,0.05256395,0.0007157244,0.002542755,0.0023126,0.003166966,0.05605618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05633016,"about_ca_system_score_gemma":0.1506235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994734,"about_ca_topic_score_gemma":0.9931016,"domain_scores_codex":[0.9944253,0.0003080886,0.0006302102,0.0006161527,0.002786395,0.00123388],"domain_scores_gemma":[0.9545854,0.001677811,0.001238929,0.001081619,0.0396376,0.001778759],"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":[0.00001728336,0.000006701085,0.0008530747,0.0002319022,0.0000156566,0.000005566649,0.00001752671,0.00009174312,0.000006501756,0.0002783429,0.9973327,0.001143097],"study_design_scores_gemma":[0.0001404559,0.00001183262,0.02578273,0.0008308346,0.00007313985,0.0000223284,0.0005734932,0.0003572186,0.0001581062,0.000500529,0.971467,0.00008218426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000442877,0.00004917189,0.00001282628,0.0001030225,0.00002130194,0.00000986405,0.9990454,0.00003603911,0.0006779948],"genre_scores_gemma":[0.0007075746,0.0002670704,0.0002526657,0.0001487876,0.00001628871,0.00008789811,0.9949881,0.00006278782,0.00346897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08767557,"threshold_uncertainty_score":0.4087058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533327075127455,"score_gpt":0.2417994164015026,"score_spread":0.2064661456502281,"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."}}