{"id":"W6901688455","doi":"10.6068/dp14ba8581eb629","title":"Trend 1990 - 2011. Statistics Canada. CANSIM: International Trade - Service Exports | Country: Canada | Table: International transactions in services, by selected countries | Variable: Honduras (x 1,000,000), Transportation and government services, receipts | Units: $CAD, 1990-2011. 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":"Official statistics; Economic statistics; Government (linguistics); Service (business); Census; Goods and services; Summary statistics; International comparisons","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":[0.001838398,0.002468363,0.002595601,0.008634907,0.003143492,0.005018561,0.004756238,0.001420381,0.09520073],"category_scores_gemma":[0.01598486,0.001689805,0.002036753,0.0418404,0.0005963822,0.002830723,0.002272815,0.003061377,0.05958226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04483007,"about_ca_system_score_gemma":0.1198541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928369,"about_ca_topic_score_gemma":0.9904476,"domain_scores_codex":[0.9961323,0.0002136186,0.0004085847,0.0005005646,0.001829737,0.0009151031],"domain_scores_gemma":[0.9706712,0.000931412,0.0009464983,0.0008293125,0.02526308,0.001358435],"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":[0.00002261224,0.000006177829,0.0009606858,0.0002294971,0.0000189615,0.000006696576,0.00001641811,0.00009376349,0.000007224977,0.0003301989,0.9967804,0.001527349],"study_design_scores_gemma":[0.0001424555,0.00001263462,0.0234191,0.0008790538,0.00006818227,0.00002765033,0.0004250782,0.0004480582,0.0001674213,0.000588955,0.9737422,0.00007920175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005179071,0.00005316957,0.00001783413,0.0001081991,0.00002664391,0.00001114765,0.9987873,0.0000494594,0.0008944804],"genre_scores_gemma":[0.0007542215,0.0003088139,0.0002836716,0.0001364982,0.00001823999,0.00008895733,0.9941044,0.00009928697,0.004205876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09520073,"threshold_uncertainty_score":0.3252664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244793534324802,"score_gpt":0.2229134269834275,"score_spread":0.2104654916401794,"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."}}