{"id":"W6920224388","doi":"10.6068/dp14ba8450b838","title":"Trend 1990 - 2012. Statistics Canada. CANSIM: International Trade - Service Imports | Country: Canada | Table: International transactions in services, travel by category and geographical area | Variable: All other countries (x 1,000,000), Other business travel, Balances | Units: $CAD, 1990-2012. 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); Economic statistics; Census; Goods and services; International comparisons; Summary statistics; 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":[0.001798638,0.002487154,0.002603999,0.008773385,0.003059922,0.004959569,0.004895244,0.001397733,0.09648312],"category_scores_gemma":[0.01657806,0.001668908,0.002027323,0.0438973,0.0006129935,0.002777975,0.002206646,0.002939784,0.06248725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04496597,"about_ca_system_score_gemma":0.1161946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933228,"about_ca_topic_score_gemma":0.991045,"domain_scores_codex":[0.9961904,0.0002152458,0.0003972424,0.0005102729,0.001788669,0.0008981571],"domain_scores_gemma":[0.9711495,0.0009142378,0.0009273791,0.0008511728,0.02480403,0.001353535],"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":[0.00002204982,0.000005671056,0.0009137201,0.000227262,0.00001836513,0.000006417586,0.00001685147,0.00009561139,0.000007593047,0.0003318014,0.9968389,0.001515706],"study_design_scores_gemma":[0.0001364336,0.00001130428,0.02057886,0.0008480761,0.00006357684,0.00002629432,0.0003947435,0.0004261036,0.000159329,0.0005829506,0.9766973,0.00007510926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004682908,0.00004946834,0.00001882589,0.00009645933,0.00002416417,0.00001036767,0.9988576,0.00005539062,0.0008408207],"genre_scores_gemma":[0.0007333269,0.0002769484,0.0003048271,0.0001233204,0.0000168482,0.00008925489,0.9945622,0.0001080586,0.003785318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09648312,"threshold_uncertainty_score":0.3262525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717988834237211,"score_gpt":0.2357549391763002,"score_spread":0.2185750508339281,"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."}}