{"id":"W6920299833","doi":"10.6068/dp14ba81f481010","title":"Trend 1961 - 2012. Statistics Canada. CANSIM: International Trade - Service Exports | Country: Canada | Table: International transactions in services, travel by category and geographical area | Variable: United States (x 1,000,000), Personal travel, Payments | Units: $CAD, 1961-2012. 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; Census; Economic statistics; Service (business); Goods and services; Summary statistics; International comparisons; National accounts","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":[0.001914408,0.002505053,0.002565351,0.00860052,0.003066567,0.005250272,0.004874185,0.001477954,0.121794],"category_scores_gemma":[0.01874945,0.001741867,0.001914883,0.04371731,0.0006424555,0.002847508,0.00225422,0.003045328,0.08081482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04378728,"about_ca_system_score_gemma":0.1152335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920036,"about_ca_topic_score_gemma":0.989031,"domain_scores_codex":[0.9960226,0.0002338583,0.0004070906,0.0005373107,0.001874014,0.0009251226],"domain_scores_gemma":[0.9691816,0.001183147,0.000974538,0.001052895,0.02609232,0.001515488],"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":[0.00001887696,0.000005202796,0.0006929986,0.0001868263,0.00001426051,0.000005324196,0.00001444975,0.00009266999,0.000007200862,0.0003051568,0.9973112,0.001345828],"study_design_scores_gemma":[0.0001262493,0.000009822007,0.01539975,0.0007508878,0.00004724645,0.00002110591,0.0003298323,0.0003822613,0.0001463743,0.00059835,0.982119,0.00006920865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003740137,0.00004091847,0.00001992656,0.00009287612,0.00002403377,0.00001051473,0.9988036,0.00006264184,0.0009080871],"genre_scores_gemma":[0.0006222421,0.0002453824,0.0003133763,0.0001280931,0.00001664568,0.00008982218,0.9940638,0.000127815,0.004392986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.121794,"threshold_uncertainty_score":0.4074417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893520687840594,"score_gpt":0.235667915259168,"score_spread":0.2167327083807621,"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."}}