{"id":"W6919989183","doi":"10.6068/dp14ba828339461","title":"Trend 1990 - 2011. Statistics Canada. CANSIM: International Trade - Service Imports | Country: Canada | Table: International transactions in services, by selected countries | Variable: South America (x 1,000,000), Commercial services, payments | 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; Census; Service (business); Economic statistics; Goods and services; International comparisons; Summary statistics; Payment","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":[0.0017596,0.002454998,0.002542931,0.009111953,0.003137772,0.005320453,0.004712001,0.00143842,0.09822034],"category_scores_gemma":[0.01586521,0.001662395,0.001957974,0.04554982,0.0006189476,0.002853341,0.002254477,0.002982961,0.06423926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04763233,"about_ca_system_score_gemma":0.1206198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924643,"about_ca_topic_score_gemma":0.9900378,"domain_scores_codex":[0.9960504,0.0002051173,0.0004141179,0.0004840998,0.001940672,0.000905612],"domain_scores_gemma":[0.9689565,0.0009618,0.000998819,0.0008707867,0.02680382,0.001408304],"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":[0.00002102338,0.000005694747,0.000867376,0.0002197355,0.000016717,0.000006449092,0.00001592213,0.00009130713,0.000007340888,0.0003559649,0.9969029,0.001489579],"study_design_scores_gemma":[0.0001204029,0.00001120859,0.02106502,0.0008315956,0.00005788409,0.0000256914,0.0004036724,0.0004132923,0.0001695239,0.0005847642,0.9762434,0.00007346133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004875409,0.00005021515,0.00001720394,0.0001002981,0.00002527689,0.00001106049,0.9987295,0.00005179561,0.0009657698],"genre_scores_gemma":[0.0006749706,0.0002956865,0.0002633354,0.0001198269,0.00001741335,0.00008349604,0.9943375,0.0001004105,0.004107302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09822034,"threshold_uncertainty_score":0.3455983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491609760987177,"score_gpt":0.2382539073750868,"score_spread":0.223337809765215,"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."}}