{"id":"W179603364","doi":"","title":"FX market trends before, between and beyond Triennial Surveys","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Euros; Liberian dollar; Quarter (Canadian coin); Us dollar; Falling (accident); Business; Economics; Demographic economics; Monetary economics; Geography; Currency; Finance; Humanities; Medicine","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":[0.001145085,0.0004284479,0.000316589,0.004371417,0.0002488037,0.00123082,0.0003224098,0.0007410739,0.006094419],"category_scores_gemma":[0.004182165,0.0001537002,0.0003115703,0.003122225,0.0001773891,0.001200106,0.0006363292,0.0008386573,0.002281017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435636,"about_ca_system_score_gemma":0.0003031933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01314019,"about_ca_topic_score_gemma":0.01359276,"domain_scores_codex":[0.9992571,0.0000679381,0.00009567777,0.0001463816,0.0002625365,0.0001703279],"domain_scores_gemma":[0.9939074,0.001029422,0.002833343,0.0003127443,0.001413961,0.0005030408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000485802,0.0001264666,0.8445364,0.0003130047,0.0001639615,0.0002460282,0.0008418504,0.0007824647,0.001199461,0.001950948,0.07331078,0.07604278],"study_design_scores_gemma":[0.000004357473,0.00009278915,0.9622322,0.00005787248,0.0000224554,0.0002166515,0.0003725487,0.0003340421,0.000370847,0.0001004606,0.03617876,0.00001708245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192749,0.003739534,0.002335426,0.002384894,0.0005335799,0.0001018886,0.1418856,0.0006894325,0.02905476],"genre_scores_gemma":[0.8340935,0.002326614,0.001869048,0.0005540398,0.0007857567,0.0001441581,0.1318612,0.0001091994,0.02825656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314019,"threshold_uncertainty_score":0.02612746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053068264688242,"score_gpt":0.2127844640871132,"score_spread":0.2022537814402307,"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."}}