{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5d49f1ac3a9b","filters":{"venue":"Iranian economic review"}},"results":[{"id":"W2755628362","doi":"10.22059/ier.2017.62945","title":"Natural Resources, Institutions Quality, and Economic Growth; A Cross-Country Analysis","year":2017,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of Saskatchewan","funders":"","keywords":"Curse; Natural resource; Resource curse; Blessing; Prosperity; Economics; Dependency (UML); Per capita; Quality (philosophy); Development economics; Economic system; Economic growth; Geography; Political science; Computer science; Law","authors":[{"name":"Saeed Moshiri","is_ca":true},{"name":"Sara Hayati","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07285397504222961,"gpt":0.3341211563815425,"spread":0.2612671813393129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002802599,0.0005052692,0.0008122138,0.003005694,0.0004776678,0.001594314,0.0004855676,0.0004426765,0.003195785],"category_scores_gemma":[0.003527521,0.0002641056,0.002321812,0.003865123,0.0006841613,0.0008401057,0.001575543,0.0009376603,0.0003984327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007665798,"about_ca_system_score_gemma":0.0009851796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03167506,"about_ca_topic_score_gemma":0.0163778,"domain_scores_codex":[0.9989566,0.0004449646,0.00007173172,0.00016731,0.0001308936,0.0002285542],"domain_scores_gemma":[0.9956297,0.001991822,0.001383879,0.0003236958,0.0003539464,0.0003169322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001815142,0.0002170848,0.9617541,0.000253607,0.003638296,0.0006642516,0.0002235767,0.0142493,0.0001616862,0.00331315,0.002574231,0.0127692],"study_design_scores_gemma":[0.00003534975,0.0002181902,0.9694968,0.0001663975,0.00208186,0.0002356361,0.001494482,0.01897198,0.0003338669,0.001271072,0.005652552,0.00004179866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849316,0.00553782,0.003008742,0.0004214711,0.00004417211,0.00005039368,0.002097359,0.00003744783,0.003871076],"genre_scores_gemma":[0.9943451,0.001821182,0.0007218193,0.00005890922,0.00003020694,0.00005057582,0.002029133,0.000009738165,0.0009333098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03167506,"threshold_uncertainty_score":0.06298143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884109069","doi":"10.22059/ier.2018.66642","title":"An Analysis of the Effect of Consumption Spending and Investment on Indonesia’s Economic Growth","year":2018,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Distributed lag; Economics; Consumption (sociology); Investment (military); Quarter (Canadian coin); Government spending; Consumer spending; Time series; Autoregressive model; Lag; Real gross domestic product; Short run; Monetary economics; Macroeconomics; Econometrics; Market economy; Recession; Welfare","authors":[{"name":"Muhammad Rafiy","is_ca":false},{"name":"Pasrun Adam","is_ca":false},{"name":"Gamsir Bachmid","is_ca":false},{"name":"Zainuddin Saenong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02692154779115239,"gpt":0.2636055932820706,"spread":0.2366840454909182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005528874,0.0002840347,0.0003029621,0.0007992644,0.0001513657,0.0008351623,0.0001551978,0.0001968289,0.002114123],"category_scores_gemma":[0.001896709,0.0001126142,0.0004452568,0.001510227,0.0001920648,0.0005118245,0.0003622926,0.0006871557,0.0002550276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008110374,"about_ca_system_score_gemma":0.001304653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051143,"about_ca_topic_score_gemma":0.01704445,"domain_scores_codex":[0.9997784,0.00006719079,0.00001781783,0.00002844087,0.00004654494,0.00006151606],"domain_scores_gemma":[0.9987358,0.000558151,0.0003616317,0.00003521541,0.0002062334,0.0001029859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004161271,0.0003027237,0.9168414,0.0005276728,0.0004945812,0.001435408,0.0004305334,0.0134429,0.001145181,0.008327464,0.005619207,0.0510169],"study_design_scores_gemma":[0.00001503483,0.000119055,0.9785616,0.0001226929,0.0003217334,0.0001569248,0.0008829031,0.01158411,0.0007834985,0.00123029,0.006209923,0.00001223377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747856,0.006022921,0.0007246045,0.001678522,0.00006339663,0.0000156791,0.0009891702,0.00002083628,0.01569924],"genre_scores_gemma":[0.9923862,0.004479115,0.0001929577,0.00007531121,0.00005007588,0.000009284739,0.0006927347,0.000005781257,0.002108481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02051143,"threshold_uncertainty_score":0.04078406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2271707240","doi":"10.22059/ier.2007.32651","title":"The Effects Of Afghan Immigrants On The Iranian Labour Market","year":2008,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Politics and Conflicts in Afghanistan, Pakistan, and Middle East","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Afghan; Unemployment; Immigration; Refugee; Quarter (Canadian coin); Wage; Demographic economics; Work (physics); Unemployment rate; Labour economics; Population; Economics; Business; Economic growth; Geography; Political science; Demography; Sociology; Engineering","authors":[{"name":"Zahra Karimi Moughari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02106000855378483,"gpt":0.2753229189148649,"spread":0.2542629103610801,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007004383,0.000120729,0.0001566426,0.0009368075,0.001126823,0.001206352,0.0001968174,0.0004156921,0.00342976],"category_scores_gemma":[0.001298633,0.00006537799,0.0001726494,0.001781663,0.0005764037,0.0005351811,0.0004821886,0.0003807899,0.0003031098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129459,"about_ca_system_score_gemma":0.002038386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02572969,"about_ca_topic_score_gemma":0.04593948,"domain_scores_codex":[0.9995789,0.0001666963,0.00002103618,0.0000168133,0.0001037089,0.0001127992],"domain_scores_gemma":[0.999552,0.00009549721,0.0001466534,0.000007972417,0.0001053569,0.00009253621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004734473,0.0004064409,0.5061818,0.001901148,0.000172213,0.002935835,0.02299859,0.0003227744,0.0006699384,0.01459845,0.03402379,0.4153157],"study_design_scores_gemma":[0.00003517136,0.0001999814,0.8248652,0.0008827027,0.00006080133,0.0009079345,0.04507533,0.00006831938,0.000131852,0.001386297,0.126366,0.00002038388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849796,0.1488368,0.00004716594,0.02002938,0.0004986192,0.00002449828,0.0002710416,0.000004414627,0.04530851],"genre_scores_gemma":[0.924334,0.07176351,0.00003742768,0.001244809,0.0002658366,0.00001023224,0.0001046181,0.000001735989,0.00223778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02572969,"threshold_uncertainty_score":0.05115986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907092205","doi":"10.22059/ier.2018.69097","title":"The Determinants of Poverty in Informal Settlement Areas of Mashhad (Case Study: Shahid Ghorbani Quarter)","year":2019,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Poverty; Quarter (Canadian coin); Welfare; Socioeconomics; Settlement (finance); Demographic economics; Economic growth; Economics; Geography","authors":[{"name":"Sahar Soltani","is_ca":false},{"name":"Javad Baraty","is_ca":false},{"name":"Farzaneh Razaghian","is_ca":false},{"name":"Simin Foroughzadeh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02930284853969331,"gpt":0.308045724810051,"spread":0.2787428762703578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780509,0.0002417343,0.0002046437,0.001037089,0.00188205,0.0006809825,0.0003709676,0.0003760961,0.001858309],"category_scores_gemma":[0.0004457635,0.0001801115,0.0002391322,0.001188205,0.0006835887,0.0002836204,0.001038695,0.0004166569,0.0001037267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167686,"about_ca_system_score_gemma":0.001074245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04236455,"about_ca_topic_score_gemma":0.0742019,"domain_scores_codex":[0.9996535,0.00009652154,0.00001265324,0.00001878203,0.00004395792,0.0001745954],"domain_scores_gemma":[0.9997732,0.00003648913,0.00007759325,0.000008882786,0.00002850211,0.00007531871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001087296,0.000553862,0.9350401,0.0001315761,0.00004072618,0.01664659,0.02065805,0.0005282257,0.0006562263,0.002246842,0.002245733,0.0211435],"study_design_scores_gemma":[0.00001542705,0.0003400794,0.8876657,0.0001158647,0.00003808151,0.005708927,0.1001262,0.0008818339,0.0002379502,0.0007034905,0.004145808,0.0000206793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992597,0.00008433246,0.00001823816,0.0001188661,0.000002016785,0.000007507129,0.00002696379,6.811998e-7,0.0004817046],"genre_scores_gemma":[0.9994759,0.0001732665,0.00004846899,0.00002463916,0.000003869545,0.000005627729,0.00002822669,4.269353e-7,0.0002396102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04236455,"threshold_uncertainty_score":0.08423591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1920252535","doi":"10.22059/ier.2015.55163","title":"Reinvestigation of Oil Price-Stock Market Nexus in Iran: A SVAR Approach","year":2015,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Variance decomposition of forecast errors; Oil supply; Stock market; Economics; Stock (firearms); Econometrics; Shock (circulatory); Oil price; Stock market index; Index (typography); Supply shock; Monetary economics; Financial economics; Monetary policy; Geography","authors":[{"name":"Eisa Maboudian","is_ca":false},{"name":"Khashayar Seyyed Shokri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08128077025652986,"gpt":0.2541294199966925,"spread":0.1728486497401626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008966932,0.0003831836,0.000504267,0.001271113,0.0002078591,0.001039786,0.000457795,0.000342166,0.001649299],"category_scores_gemma":[0.001876934,0.0001572268,0.000731867,0.001318601,0.000270365,0.0009938475,0.0004495871,0.0006500708,0.0001995725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450115,"about_ca_system_score_gemma":0.0007740588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007227117,"about_ca_topic_score_gemma":0.007159423,"domain_scores_codex":[0.9997454,0.00008031945,0.00001699148,0.00005075351,0.00006433073,0.00004214433],"domain_scores_gemma":[0.9990865,0.0004875929,0.0002159212,0.00004579454,0.0001293822,0.00003488722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002633166,0.0004119536,0.6520019,0.0004427138,0.001606969,0.002089353,0.0008808859,0.1572448,0.005625019,0.05342174,0.003903095,0.1221083],"study_design_scores_gemma":[0.00003892792,0.0004121165,0.2842329,0.0001145824,0.0005934947,0.0003276477,0.001640912,0.6705002,0.002994153,0.03144531,0.007644914,0.00005480683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727491,0.002590463,0.01818903,0.0009717045,0.00007339131,0.00002634006,0.0004060194,0.00008566389,0.004908218],"genre_scores_gemma":[0.9951245,0.001264516,0.002444912,0.00005834867,0.00006293996,0.00000859216,0.0003204309,0.000007589247,0.0007081475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007227117,"threshold_uncertainty_score":0.01437008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2256039821","doi":"10.22059/ier.2006.32637","title":"Spatial Distribution Of Iranian Population In Canada: A Portrait Using The 2001 Census Data","year":2006,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Census; Immigration; Destinations; Government (linguistics); Geography; Distribution (mathematics); Demographic statistics; Portrait; Public policy; Regional science; Population; Political science; Population statistics; Economic growth; Demographic economics; Sociology; Demography; Tourism; Economics; Law","authors":[{"name":"Gharakhlou Mehdi","is_ca":false},{"name":"André Langlois","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05249750764012057,"gpt":0.3104446211924461,"spread":0.2579471135523255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001439451,0.0002022123,0.0001499247,0.003843285,0.001362784,0.0009864005,0.0004538251,0.0001200332,0.002637608],"category_scores_gemma":[0.0006869334,0.00009962319,0.0002299952,0.01185898,0.0003642762,0.0002462066,0.0003908447,0.0002278175,0.0002123485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01239103,"about_ca_system_score_gemma":0.01999551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952902,"about_ca_topic_score_gemma":0.9971258,"domain_scores_codex":[0.999845,0.00000910888,0.000007533939,0.00001991852,0.00006533055,0.00005304447],"domain_scores_gemma":[0.9994447,0.00002925117,0.00004915754,0.0000119004,0.0003983825,0.00006651002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000093694,0.00002980434,0.8298075,0.0003501929,0.00008629289,0.0005690871,0.009563881,0.003080062,0.00113848,0.006023526,0.03842634,0.1108311],"study_design_scores_gemma":[0.000003190617,0.000007503785,0.9610765,0.00007019458,0.00002051913,0.0001739786,0.007771056,0.00145726,0.0001368343,0.0001131179,0.02915083,0.00001919595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909856,0.004531079,0.0009058475,0.001310042,0.00004703782,0.0001144626,0.04759015,0.0001544832,0.0354909],"genre_scores_gemma":[0.9784201,0.004759662,0.001872652,0.00006760926,0.0000120309,0.00004396671,0.009009669,0.00001827208,0.005796032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239103,"threshold_uncertainty_score":0.08990365,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2917167586","doi":"10.22059/ier.2019.72998","title":"Core Inflation and Economic Growth, Does Nonlinearity Matters? A Nonlinear Granger Causality Analysis","year":2019,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nexus (standard); Inflation (cosmology); Causality (physics); Economics; Granger causality; Core inflation; Core (optical fiber); Macroeconomics; Monetary economics; Perspective (graphical); Econometrics; Economy; Monetary policy; Inflation targeting; Engineering","authors":[{"name":"Amritkant Mishra","is_ca":false},{"name":"Amba Agarwal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02973725896800223,"gpt":0.2448511778103251,"spread":0.2151139188423229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002668207,0.000429117,0.000651394,0.002455208,0.0006936022,0.002785499,0.000391957,0.0005647977,0.005479898],"category_scores_gemma":[0.009750809,0.0001571957,0.0009376367,0.004126125,0.001548896,0.002973209,0.00153743,0.001671492,0.0006100787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008941031,"about_ca_system_score_gemma":0.001957046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006789472,"about_ca_topic_score_gemma":0.005491826,"domain_scores_codex":[0.9990146,0.000396611,0.00007086484,0.0001489416,0.0002201867,0.0001487303],"domain_scores_gemma":[0.9935938,0.004483345,0.0009920715,0.0002217841,0.0005150678,0.000193923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003444825,0.0001649991,0.7893933,0.0004427227,0.0006453087,0.001459207,0.002054974,0.01938497,0.0005943116,0.1005614,0.002866317,0.0820881],"study_design_scores_gemma":[0.00008868799,0.0003790849,0.4780669,0.000772778,0.001139543,0.001079449,0.01160667,0.1362615,0.001453895,0.3442028,0.02481595,0.0001326086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143564,0.007071685,0.03218714,0.00913178,0.0002515678,0.0001047186,0.0008197241,0.0001208654,0.03595607],"genre_scores_gemma":[0.9954301,0.001537199,0.0008866934,0.0001219589,0.00006541693,0.00001784905,0.0001994785,0.000011634,0.001729821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006789472,"threshold_uncertainty_score":0.01833212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W68459141","doi":"10.22059/ier.2008.32659","title":"Nonlinearity In Exchange Rates and Forecasting","year":2008,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Autocorrelation; Econometrics; Exchange rate; Lyapunov exponent; Nonlinear system; Autoregressive integrated moving average; Autoregressive conditional heteroskedasticity; Series (stratigraphy); Economics; Statistics; Time series; Computer science; Mathematics; Chaotic; Volatility (finance); Artificial intelligence; Finance","authors":[{"name":"Saeed Moshiri","is_ca":true},{"name":"Forough Seifi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1115815424222613,"gpt":0.2539410668986332,"spread":0.1423595244763719,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451948,0.0003280612,0.0003332111,0.001046797,0.0002591521,0.001072156,0.0002193475,0.0004575032,0.001235869],"category_scores_gemma":[0.008549422,0.0001611486,0.00026636,0.0009824141,0.0006012783,0.001737426,0.0005615968,0.0005318632,0.0002452792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528872,"about_ca_system_score_gemma":0.0004511971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004211979,"about_ca_topic_score_gemma":0.002567907,"domain_scores_codex":[0.9994215,0.000234585,0.00004459674,0.00007773115,0.0001745475,0.00004711895],"domain_scores_gemma":[0.9973601,0.001780696,0.0004224636,0.0001306273,0.0002614211,0.00004474836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001934454,0.00007676236,0.2227834,0.000263004,0.0001944238,0.0008125352,0.0007753425,0.6013924,0.002918351,0.05069106,0.002463337,0.1174359],"study_design_scores_gemma":[0.00001526516,0.00008374848,0.09677804,0.00008562371,0.00003307375,0.0003499406,0.0005860332,0.8098107,0.00145472,0.08671351,0.004034165,0.0000552168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899142,0.003213974,0.08068258,0.002761028,0.0001183733,0.0000564665,0.0005509048,0.0001561898,0.02254625],"genre_scores_gemma":[0.9951871,0.0007395915,0.003172317,0.00003404918,0.00004015883,0.00001141246,0.0001050134,0.000006084317,0.0007042451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004211979,"threshold_uncertainty_score":0.008374929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}