{"id":"W6920341807","doi":"10.6068/dp14baa392c6489","title":"Most Recent Data (2003). Statistics Canada. CANSIM: International Trade - Merchandise Exports | Country: Canada | Province: Newfoundland and Labrador | Table: Survey of innovation, selected service industries, percentage of revenues that came from the sale of products to clients outside of Canada (exports) | Variable: Computer systems design and related services, 0% of revenues, All business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-130.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Economic statistics; Census; Summary statistics; Official statistics; Descriptive statistics; Goods and services; National accounts; Service (business)","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":[0.001876596,0.002583467,0.002678163,0.008761988,0.002880676,0.005192316,0.004683838,0.001633427,0.07585292],"category_scores_gemma":[0.01786261,0.001571119,0.001874823,0.04775033,0.0007094155,0.002404194,0.002080729,0.003085973,0.05335249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04167491,"about_ca_system_score_gemma":0.1029176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890998,"about_ca_topic_score_gemma":0.9856022,"domain_scores_codex":[0.9957281,0.0002289238,0.0005316649,0.0005458585,0.001969568,0.0009958927],"domain_scores_gemma":[0.9598417,0.001761095,0.001386859,0.00104993,0.0344209,0.001539371],"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":[0.00002279752,0.000008546933,0.001005389,0.0002573465,0.00001594333,0.000006845153,0.00001366483,0.0001119593,0.00000815236,0.0002065254,0.9973705,0.0009724241],"study_design_scores_gemma":[0.0002131138,0.00001389393,0.02997349,0.0008760467,0.00006428863,0.00002275259,0.0004821176,0.0003914902,0.0002106717,0.0004254535,0.9672439,0.00008285141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004128131,0.00002917729,0.000008708018,0.00006569512,0.0000153521,0.000007742907,0.9993095,0.00002993719,0.000492503],"genre_scores_gemma":[0.0005119291,0.0001629357,0.0001492747,0.00008634611,0.0000118386,0.00007050921,0.9968184,0.00004566657,0.002143144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07585292,"threshold_uncertainty_score":0.3023741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04079616609741538,"score_gpt":0.2401254990244912,"score_spread":0.1993293329270759,"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."}}