{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001097742,0.001999505,0.001958923,0.0005363267,0.0003398385,0.0008391102,0.006602303,0.001111969,0.07113995],"category_scores_gemma":[0.00005610413,0.002175706,5.411327e-7,0.0009883395,0.0004104271,0.001505785,0.0005274866,0.002081556,0.0005278026],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249953,"about_ca_system_score_gemma":0.03068663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998978,"about_ca_topic_score_gemma":0.999868,"domain_scores_codex":[0.9873528,0.0007151478,0.002588636,0.002697014,0.004730317,0.00191612],"domain_scores_gemma":[0.9919299,0.0009514696,0.00198299,0.003526307,0.0004480861,0.00116125],"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":[0.0005896476,0.0003706905,0.00008795382,0.0009061663,0.001750234,0.001208286,0.00002295896,0.000110345,0.000009387215,0.0002045285,0.9946924,0.00004737717],"study_design_scores_gemma":[0.003086472,0.00006937252,0.0000200354,0.0001411397,0.0009152963,0.0005643334,0.0005418014,0.007998514,2.601952e-7,3.377621e-7,0.9845372,0.002125179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.180055e-7,0.002111235,0.00003621369,0.00004651276,0.003562038,0.001311216,0.9896569,0.0002766707,0.002998807],"genre_scores_gemma":[0.00002567077,0.001886039,0.0001759609,0.001640364,0.0004861953,0.0001144517,0.9888465,0.0009411741,0.005883645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07061215,"threshold_uncertainty_score":0.9992748,"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."}}