{"id":"W6957836144","doi":"10.6068/dp153e8130bbe50","title":"TREND: Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Science and Technology - Exports of ICT Goods | Country: Australia, Austria, Belgium, Brazil, Canada, Chile, China, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland | Socioeconomic Indicator: Exports of ICT Goods, 2000 - 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-099","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; International comparisons; Subject (documents); Socioeconomic status; Raw data; Goods and services; Czech; Official 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":[0.001843626,0.001915168,0.002189671,0.007372149,0.0009521477,0.003702376,0.002902277,0.001631192,0.05809375],"category_scores_gemma":[0.01505844,0.0010368,0.001567669,0.02606579,0.0004426238,0.003567374,0.002332215,0.003871183,0.07230586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003040749,"about_ca_system_score_gemma":0.007459817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0907229,"about_ca_topic_score_gemma":0.05961773,"domain_scores_codex":[0.9971192,0.000382335,0.0005662905,0.0006202798,0.0008509958,0.0004609822],"domain_scores_gemma":[0.9909128,0.001355049,0.001187696,0.0008560007,0.005274535,0.0004139243],"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":[0.00002706794,0.00001069163,0.0006780103,0.0003660369,0.00002165054,0.000008996832,0.00001337563,0.00008734974,0.00001883995,0.0004523745,0.9965566,0.001758934],"study_design_scores_gemma":[0.0001289294,0.00001299867,0.007936768,0.0008154131,0.00004007429,0.00002195331,0.000183677,0.0001892938,0.0001211492,0.000847537,0.9896723,0.00002998916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005410867,0.0000476002,0.00003092044,0.00008975731,0.00004001704,0.00001338461,0.9991481,0.00004350056,0.0005325484],"genre_scores_gemma":[0.0002189745,0.0001177549,0.0001666118,0.00005260508,0.00001516854,0.0001253037,0.9984367,0.0000352749,0.0008316298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9092771,"threshold_uncertainty_score":0.194343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007958338876878858,"score_gpt":0.2475433305660104,"score_spread":0.2395849916891315,"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."}}