{"id":"W6939078130","doi":"10.6068/dp14ba8105bec88","title":"Trend 1990 - 2011. Statistics Canada. CANSIM: International Trade - Service Exports | Country: Canada | Table: International transactions in services, by selected countries | Variable: Maghreb Countries (x 1,000,000), Travel, payments | 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; Service (business); Census; Goods and services; Payment; 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":[0.001801954,0.002432878,0.002478448,0.008491817,0.003057773,0.004988623,0.004777858,0.001405204,0.1025978],"category_scores_gemma":[0.01626687,0.001666739,0.001914828,0.04280151,0.0006072955,0.002798446,0.00221752,0.002950358,0.06205939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04574541,"about_ca_system_score_gemma":0.1188456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927442,"about_ca_topic_score_gemma":0.9904506,"domain_scores_codex":[0.9961725,0.0002113394,0.0004066556,0.0004746896,0.001849163,0.000885641],"domain_scores_gemma":[0.9695211,0.0009749347,0.000947694,0.00083125,0.02632483,0.001400145],"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":[0.00002143678,0.000005705329,0.0008282149,0.0002145958,0.00001647885,0.000006230005,0.00001533094,0.00009039832,0.000007003849,0.0003309271,0.997016,0.001447747],"study_design_scores_gemma":[0.0001366138,0.00001203877,0.02089997,0.0008490317,0.00006211651,0.0000261377,0.0004046934,0.0004413974,0.0001674367,0.0006051889,0.97632,0.00007538589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004922841,0.00004834661,0.0000175102,0.0001084496,0.00002488637,0.000011229,0.9987098,0.00005224848,0.0009783159],"genre_scores_gemma":[0.0007261417,0.0002874942,0.0002769764,0.0001349853,0.00001724712,0.00008844115,0.9940532,0.0001051161,0.004310463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1025978,"threshold_uncertainty_score":0.3432239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549462575000049,"score_gpt":0.2365800730105403,"score_spread":0.2210854472605398,"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."}}