{"id":"W6957637777","doi":"10.6068/dp14ba7ffafdb24","title":"Trend 1990 - 2011. Statistics Canada. CANSIM: International Trade - Service Imports | Country: Canada | Table: International transactions in services, by selected countries | Variable: Australia (x 1,000,000), Travel, receipts | Units: $CAD, 1990-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-133.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Service (business); Economic statistics; Census; International comparisons; Goods and services; Summary statistics; National accounts","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":[0.001691153,0.002406693,0.002543688,0.008428562,0.003035616,0.004965688,0.004624662,0.001392311,0.09830998],"category_scores_gemma":[0.01501373,0.00168292,0.001952145,0.04326957,0.0005919185,0.002731395,0.002171881,0.002968789,0.06291667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04658845,"about_ca_system_score_gemma":0.1177543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927329,"about_ca_topic_score_gemma":0.9902108,"domain_scores_codex":[0.9962655,0.0001957794,0.0003987125,0.0004589516,0.001821744,0.0008593841],"domain_scores_gemma":[0.9705371,0.000874943,0.0009342913,0.0007902793,0.02551415,0.001349243],"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":[0.00002172654,0.000005989826,0.0009231687,0.0002311112,0.00001752348,0.00000655851,0.00001645427,0.00009375545,0.000007449882,0.0003469273,0.9967929,0.001536531],"study_design_scores_gemma":[0.000125049,0.00001193381,0.02330766,0.0008474606,0.00006075525,0.00002621192,0.0004090092,0.0004232525,0.0001688514,0.0005607404,0.9739861,0.00007287724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005274587,0.00005239662,0.00001835091,0.0001009583,0.00002646826,0.00001193589,0.9986734,0.00005242881,0.001011259],"genre_scores_gemma":[0.0007308086,0.0003103467,0.0002779583,0.0001254135,0.00001794776,0.00009081743,0.9938738,0.000103828,0.004469025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09830998,"threshold_uncertainty_score":0.3380244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199444227745863,"score_gpt":0.2528455159463052,"score_spread":0.2308510736688465,"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."}}