{"id":"W6901691043","doi":"10.6068/dp14bacba3de210","title":"Trend 1948 - 2008. International Monetary Fund. Balance of Payments (Archive): Services | Country: Canada | Topic*: B. Services | Position: Credit Flows | IMF Key Code: 2200..2... | Units: ZIMBABWE DOLLARS, 1948-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 056-001-002.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance of payments; Position (finance); International finance; Mandate; Exchange rate; Payment; Monetary policy; Capital account; Service (business); Current account","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":[0.001323208,0.001822662,0.001755043,0.005318644,0.001334923,0.00439393,0.002512091,0.001426901,0.1113589],"category_scores_gemma":[0.0118777,0.001103572,0.0007477126,0.01559965,0.0003538329,0.003158397,0.001559915,0.003062584,0.1751248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006185798,"about_ca_system_score_gemma":0.008701487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4017439,"about_ca_topic_score_gemma":0.3502913,"domain_scores_codex":[0.9980772,0.0001385814,0.0002464621,0.0003810718,0.0008527789,0.0003040242],"domain_scores_gemma":[0.9909363,0.0004901459,0.0008145596,0.0006492848,0.006677214,0.0004323602],"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":[0.000009587538,0.000003262593,0.0002885881,0.00005409213,0.000004338972,0.000003094327,0.000004100818,0.00003345237,0.0000079253,0.0001683782,0.9985874,0.0008358386],"study_design_scores_gemma":[0.00006873097,0.000006628094,0.007368133,0.0001862287,0.000009809544,0.00001164168,0.00006582328,0.0001498705,0.0001036719,0.0003681536,0.9916421,0.00001930234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005800886,0.00003745316,0.00002340004,0.0001036348,0.00004550854,0.000008631421,0.9984139,0.00007429961,0.001235138],"genre_scores_gemma":[0.000326719,0.00009059856,0.0001320654,0.00004910402,0.00002502037,0.00006460138,0.9965236,0.00005426282,0.002733966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5982561,"threshold_uncertainty_score":0.7988109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619012617117665,"score_gpt":0.2634220324136946,"score_spread":0.2372319062425179,"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."}}