{"id":"W6976453346","doi":"10.6068/dp14ba82ec3a189","title":"Trend 1990 - 2001. Statistics Canada. CANSIM: International Trade - Service Exports | Country: Canada | Table: International transactions in services, commercial services by industry | Variable: Payments, Information services (x 1,000,000), Wood and paper | Units: $CAD, 1990-2001. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-132.","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; Goods and services; Service (business); International comparisons; Summary statistics; Census; National accounts; International Standard Industrial Classification","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":[0.001925061,0.002534157,0.002608407,0.008782766,0.003209324,0.005037497,0.004990245,0.001504023,0.09825333],"category_scores_gemma":[0.01624474,0.001764097,0.001933304,0.04305452,0.0006028319,0.002734392,0.002196852,0.003148735,0.06255611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04797526,"about_ca_system_score_gemma":0.1245265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931487,"about_ca_topic_score_gemma":0.9904818,"domain_scores_codex":[0.9959463,0.0002244185,0.0004217007,0.0005186379,0.001965913,0.000922973],"domain_scores_gemma":[0.968273,0.0009796444,0.0009727168,0.0009047809,0.02743568,0.001434163],"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":[0.00002310551,0.000006059436,0.0008088261,0.0002203249,0.00001711946,0.00000638924,0.0000156864,0.00009625596,0.000007543399,0.000329011,0.9970093,0.001460402],"study_design_scores_gemma":[0.0001442425,0.00001219703,0.0207505,0.0008295766,0.00006300501,0.0000253957,0.0003894129,0.0004296841,0.0001642729,0.0005816354,0.9765363,0.00007384777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004741665,0.00004607953,0.00001708799,0.0001040968,0.00002493978,0.00001125119,0.9987974,0.00005092243,0.0009007887],"genre_scores_gemma":[0.0006599266,0.0002628659,0.0002667626,0.0001298702,0.0000152782,0.00008967082,0.9942217,0.00009927624,0.004254508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09825333,"threshold_uncertainty_score":0.3480865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740219244570677,"score_gpt":0.2417440479012082,"score_spread":0.2243418554555014,"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."}}