{"id":"W3147615509","doi":"","title":"ANALYSIS OF EXPORT VOLUME OF INDONESIAN COFFEE TO JAPAN","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Exchange rate; Economics; Inflation (cosmology); Indonesian; Revenue; Population; International economics; Monetary economics; International trade; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579221,0.0001049859,0.0006983796,0.0005071776,0.00001518794,0.00002632681,0.0004035356,0.00005736132,0.0000528357],"category_scores_gemma":[0.00008810156,0.0001236615,0.0002516334,0.0001876396,0.00007076157,0.0002122709,0.00007838925,0.00008997585,0.00001163592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003015336,"about_ca_system_score_gemma":0.00003051425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007440635,"about_ca_topic_score_gemma":0.00001579171,"domain_scores_codex":[0.9983974,0.000004759629,0.001278094,0.0001764018,0.00002536976,0.0001179768],"domain_scores_gemma":[0.9982646,0.00003493331,0.001378622,0.0001105413,0.0001162661,0.00009506561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001922122,0.00008635294,0.6684374,0.00001665074,0.001414569,0.000003903765,0.001517032,0.01362409,0.00005202666,0.3114281,0.0003840439,0.00284353],"study_design_scores_gemma":[0.001239109,0.0005042462,0.8956751,0.00003181736,0.0001150783,0.00001421523,0.0002240629,0.03246526,0.0005693365,0.007896288,0.06092596,0.000339563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913544,0.0004946991,0.000811099,0.00370637,0.0002986999,0.00004875469,0.0003408149,0.000001464765,0.002943667],"genre_scores_gemma":[0.9973365,0.001277318,0.0005013466,0.0006706052,0.0001412728,0.000001315136,0.000005444236,0.000009580532,0.00005660696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035319,"threshold_uncertainty_score":0.5042769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527677440488735,"score_gpt":0.2173790381219254,"score_spread":0.1921022637170381,"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."}}