{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"f90a5fe62259","filters":{"venue":"Fiscaoeconomia"}},"results":[{"id":"W4318040726","doi":"10.25295/fsecon.1143345","title":"The Convergence in Greenhouse Gas Emissions Across G-7 Countries","year":2023,"lang":"en","type":"article","venue":"Fiscaoeconomia","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Per capita; Convergence (economics); Convergence clubs; Club; Environmental degradation; Carbon footprint; Environmental science; Environmental quality; Economics; Natural resource economics; Global warming; Ecological footprint; Econometrics; Climate change; Sustainable development; Macroeconomics; Ecology","authors":[{"name":"Neslihan Ursavaş","is_ca":false},{"name":"Şükrü Apaydın","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02273211549269381,"gpt":0.2330077052574568,"spread":0.210275589764763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001414278,0.0002873709,0.000597022,0.003328601,0.0005881792,0.001446951,0.0003663132,0.0005513728,0.00141476],"category_scores_gemma":[0.004977575,0.0001473477,0.0009676768,0.002992217,0.0007032272,0.001335578,0.001301611,0.0006376912,0.0002690427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270668,"about_ca_system_score_gemma":0.001000942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02817857,"about_ca_topic_score_gemma":0.01786471,"domain_scores_codex":[0.9991764,0.0001722669,0.00006347294,0.000161967,0.0001441704,0.0002817023],"domain_scores_gemma":[0.9978335,0.0005378859,0.0005986483,0.0001427941,0.0007263471,0.0001607622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005013769,0.0001638609,0.8726942,0.000263943,0.0007034045,0.001790374,0.001421798,0.04639717,0.0009599109,0.02820675,0.003486387,0.04341085],"study_design_scores_gemma":[0.00006286323,0.0002366321,0.9350593,0.0002153438,0.000318763,0.000525964,0.007474854,0.03251869,0.001573667,0.01292348,0.009029668,0.00006080566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906882,0.0006426476,0.001204635,0.0002672797,0.00001587218,0.00002355133,0.0004757836,0.00002250833,0.006659476],"genre_scores_gemma":[0.9981048,0.0003548185,0.0004985927,0.00004272887,0.000006255972,0.00001534585,0.0006004858,0.000005092219,0.0003718009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02817857,"threshold_uncertainty_score":0.05602908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413504457","doi":"10.25295/fsecon.1620352","title":"Empirical Analysis of Kaldor’s Growth Law: The Sample of OECD Countries","year":2025,"lang":"en","type":"article","venue":"Fiscaoeconomia","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Sample (material); Law; Econometrics; Political science; Thermodynamics; Physics","authors":[{"name":"Dilek KUTLUAY ŞAHİN","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02302107031447245,"gpt":0.2656485885496768,"spread":0.2426275182352044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002557408,0.0003100744,0.0005132479,0.004960903,0.0007543669,0.002005786,0.0004797274,0.0003325472,0.001839711],"category_scores_gemma":[0.01292368,0.000158056,0.0003986888,0.006494005,0.0007116087,0.001180317,0.001358157,0.0007126674,0.0007190757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008828591,"about_ca_system_score_gemma":0.0007237121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01885498,"about_ca_topic_score_gemma":0.006611436,"domain_scores_codex":[0.9983523,0.0004794371,0.0001505651,0.000248474,0.0004057321,0.0003636008],"domain_scores_gemma":[0.9910482,0.00322881,0.002210112,0.0009540982,0.002028967,0.000529884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001078274,0.00009952667,0.9731448,0.00003473536,0.00008215889,0.0004368858,0.001236799,0.001332679,0.00006895325,0.00316845,0.006028147,0.01425916],"study_design_scores_gemma":[0.0000253738,0.00005048388,0.9750839,0.00006385773,0.00004716447,0.000335603,0.006382335,0.002985656,0.0001824823,0.001329128,0.01349232,0.00002166738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851869,0.0005399204,0.0003326385,0.0002138805,0.00001516361,0.00004190043,0.003331366,0.00001837983,0.01031982],"genre_scores_gemma":[0.9910936,0.0005311068,0.0002692371,0.00005957018,0.00001918532,0.00007571358,0.007172617,0.00001517649,0.0007638437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01885498,"threshold_uncertainty_score":0.03749043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391294603","doi":"10.25295/fsecon.1347256","title":"Do the Exchange Rates Converge Among Fragile Market Economies? New Evidence from LM and RALS-LM Unit Root Tests","year":2024,"lang":"en","type":"article","venue":"Fiscaoeconomia","topic":"Market Dynamics and Volatility","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":"Lethbridge College","funders":"","keywords":"Unit root; Economics; Exchange rate; Convergence (economics); Volatility (finance); Unit root test; Fragility; Foreign exchange market; Per capita; Structural break; Econometrics; Monetary economics; Macroeconomics; Cointegration","authors":[{"name":"Baki Demirel","is_ca":false},{"name":"Selin Karatepe","is_ca":true},{"name":"Seyhat Bayrak Gezdim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03669475327067144,"gpt":0.2512338641356507,"spread":0.2145391108649792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007816411,0.0003646146,0.0008399812,0.00293629,0.0005894006,0.001886819,0.0009801179,0.0008769045,0.005194516],"category_scores_gemma":[0.0615871,0.0002040354,0.0007158015,0.002381213,0.00313076,0.004794229,0.0020162,0.001649737,0.0004752811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004593707,"about_ca_system_score_gemma":0.0003191984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002761821,"about_ca_topic_score_gemma":0.001256428,"domain_scores_codex":[0.9965156,0.001622301,0.0002818563,0.0007495258,0.000494767,0.0003358368],"domain_scores_gemma":[0.9013343,0.06497797,0.02215362,0.005739751,0.003570245,0.002224061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001189608,0.0002083483,0.773599,0.0003091666,0.001274643,0.001581092,0.00313429,0.01283233,0.001040473,0.100938,0.003223342,0.1006697],"study_design_scores_gemma":[0.000247343,0.0005788527,0.7425182,0.0002723439,0.0006705936,0.001143042,0.006784861,0.08256825,0.001724515,0.1558468,0.007502944,0.0001422003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768941,0.001758524,0.01115331,0.00232978,0.00004319234,0.00001796465,0.000312499,0.00004555352,0.007445093],"genre_scores_gemma":[0.9989002,0.0002671666,0.0004295193,0.00007030586,0.00004097765,0.00000496276,0.0001203397,0.000005625302,0.000160872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007816411,"threshold_uncertainty_score":0.04133761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7106666243","doi":"10.25295/fsecon.1677273","title":"The Impact of European Union's Free Trade Agreements on Türkiye’s Foreign Trade: Trade Diversion","year":2025,"lang":"","type":"article","venue":"Fiscaoeconomia","topic":"Global trade and economics","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":"Trade diversion; Trade creation; Free trade; Trade barrier; Tariff; Gravity model of trade; International free trade agreement; European union; Economic integration","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03252351363534119,"gpt":0.226912845270542,"spread":0.1943893316352008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580533,0.0002374292,0.0003277208,0.001085309,0.0008141793,0.002751428,0.0002837749,0.0004902647,0.004418452],"category_scores_gemma":[0.004216909,0.0001034845,0.0003702156,0.002010287,0.001270639,0.001589619,0.001913838,0.0006411056,0.0003822316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002297995,"about_ca_system_score_gemma":0.001331886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687645,"about_ca_topic_score_gemma":0.01389339,"domain_scores_codex":[0.9989855,0.0002193443,0.00006741955,0.0001195606,0.0003054633,0.0003026925],"domain_scores_gemma":[0.9975606,0.0007396404,0.001023991,0.0001980283,0.0003369683,0.0001407392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001669298,0.0003619593,0.748293,0.0003812385,0.0005874919,0.004010001,0.006496558,0.02363535,0.003703124,0.06363851,0.003790327,0.1434331],"study_design_scores_gemma":[0.00005207601,0.0002544226,0.9339892,0.0002639951,0.0001405436,0.0006776672,0.01018568,0.003255914,0.002486612,0.007174226,0.04146379,0.00005591413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744409,0.001035288,0.0002187072,0.000270599,0.00001361434,0.00001009863,0.0002360209,0.000008046661,0.0237667],"genre_scores_gemma":[0.9974546,0.0003637631,0.00009697523,0.00006768521,0.000009620656,0.000005816898,0.0003398778,0.000003878594,0.001657808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687645,"threshold_uncertainty_score":0.03355646,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}