{"id":"W4393104635","doi":"10.5267/j.dsl.2024.1.005","title":"The quest for explosive bubbles in the Indonesian Rupiah/US exchange rate: Does the uncertainty trinity matter?","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Explosive material; Exchange rate; Economics; Geography; Macroeconomics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01018726,0.0001586125,0.0002016296,0.0002319301,0.0008034726,0.001236935,0.001489911,0.00004863011,0.00006251936],"category_scores_gemma":[0.0006276589,0.00007224182,0.0001316858,0.001097443,0.0005786925,0.0003885352,0.000155251,0.0002534725,0.00006747733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419939,"about_ca_system_score_gemma":0.00003948719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002808066,"about_ca_topic_score_gemma":0.0006120924,"domain_scores_codex":[0.9981505,0.00008976112,0.0005453956,0.0005989437,0.0001649741,0.000450428],"domain_scores_gemma":[0.9962202,0.002803065,0.0001471765,0.0007402771,0.00003818465,0.00005108777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000581725,0.000261495,0.4666733,0.0001814109,0.00009231225,0.00006608803,0.01618656,0.0005616316,0.0007774882,0.2877643,0.06819045,0.1586632],"study_design_scores_gemma":[0.000541403,0.00005753418,0.3803,0.00007281102,0.000008831577,0.000009393228,0.001286339,0.1696575,0.00004516399,0.1778637,0.2697351,0.0004223849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273447,0.0004853908,0.008599045,0.06033936,0.001446413,0.0007226466,0.0001273503,0.00001828656,0.0009167445],"genre_scores_gemma":[0.9931744,0.0001825519,0.0001203444,0.006091361,0.0001228635,0.0002085132,0.000003824274,0.00001122321,0.00008492279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2015446,"threshold_uncertainty_score":0.9997998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798096231148169,"score_gpt":0.2749712134426414,"score_spread":0.2469902511311597,"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."}}