{"id":"W7099795774","doi":"","title":"Prospects for Global Current Account","year":2010,"lang":"en","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Current (fluid); Central bank","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":[],"consensus_categories":[],"category_scores_codex":[0.0001891038,0.00002850511,0.00002861706,0.000005659643,0.0002552289,0.000144762,0.0001411594,0.00002586902,0.0002526338],"category_scores_gemma":[0.00007562015,0.00002232189,0.00002275747,0.0001157114,0.00009213179,0.0006342151,0.000008210497,0.00003171708,0.00003790958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040785,"about_ca_system_score_gemma":0.0002840724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007881185,"about_ca_topic_score_gemma":0.002900308,"domain_scores_codex":[0.9995524,0.000005425979,0.00005210484,0.00009916816,0.0001476665,0.0001432577],"domain_scores_gemma":[0.9998118,0.00001572095,0.00001829839,0.00005470079,0.00003056478,0.00006889724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001359727,0.00001999396,0.01306531,0.000001258836,3.321079e-7,6.567964e-8,0.000290715,4.861597e-8,0.0001365218,0.9652153,0.005327168,0.01594199],"study_design_scores_gemma":[0.00008030052,0.00002494872,0.01174477,0.000001331408,0.000001355952,1.651166e-7,0.0004282745,0.00003625776,0.000436302,0.07336754,0.9138133,0.00006546229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5465116,0.00002170066,0.001187937,0.01188131,0.003908703,0.0006618925,0.00001125671,0.0001653364,0.4356503],"genre_scores_gemma":[0.9958878,0.000003629231,0.001234553,0.0001880058,0.0005215804,0.0000133006,0.000002539893,9.240391e-7,0.002147672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9084861,"threshold_uncertainty_score":0.2766163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367821465196537,"score_gpt":0.3655136572589905,"score_spread":0.3318354426070252,"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."}}