{"id":"W6920142264","doi":"10.6068/dp14ba7f2735b77","title":"Trend 1990 - 1999. Statistics Canada. CANSIM: International Trade - Service Imports | Country: Canada | Table: International transactions in services, commercial services, by selected countries and regions | Variable: Brazil, Payments (x 1,000,000) | Units: $CAD, 1990-1999. 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); Census; Payment; Economic statistics; Goods and services; International comparisons; Summary 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":[0.001626837,0.002448133,0.002421064,0.008968715,0.003033386,0.00500658,0.004831227,0.001382964,0.1041038],"category_scores_gemma":[0.01419286,0.001605347,0.001816009,0.04403247,0.0006007937,0.002714246,0.002135664,0.002789129,0.06678995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04676673,"about_ca_system_score_gemma":0.113458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924428,"about_ca_topic_score_gemma":0.9895192,"domain_scores_codex":[0.9963245,0.0001781756,0.0003649693,0.0004607214,0.001813172,0.0008584214],"domain_scores_gemma":[0.9706344,0.0008416088,0.0009415801,0.0007894531,0.02547199,0.001320848],"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":[0.00002131537,0.000006060473,0.0008833992,0.0002096676,0.00001577421,0.000006616956,0.00001532853,0.00009409135,0.000008024237,0.0003656434,0.9968747,0.001499251],"study_design_scores_gemma":[0.0001181403,0.00001087141,0.021138,0.000719825,0.00004957553,0.00002437256,0.0003835559,0.0003949806,0.0001729186,0.0005337842,0.9763888,0.00006517027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004938144,0.00004279599,0.00001636041,0.00008822987,0.00002306245,0.00001167478,0.998657,0.00004928316,0.001062246],"genre_scores_gemma":[0.0006850825,0.000263599,0.0002460326,0.0001099119,0.00001533501,0.00008582786,0.9937814,0.00009673629,0.004716111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1041038,"threshold_uncertainty_score":0.3482619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488774552884807,"score_gpt":0.2467687964510353,"score_spread":0.2318810509221872,"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."}}