{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":123,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":123,"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":"fc88b1f20d3e","filters":{"venue":"Applied Economics Letters"}},"results":[{"id":"W2340721197","doi":"10.1080/13504851.2016.1139668","title":"Innovation, financial development and economic growth in Eurozone countries","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":230,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trent University","funders":"","keywords":"Cointegration; Unit root; Economics; Error correction model; Causality (physics); Econometrics","authors":[{"name":"Rudra P. Pradhan","is_ca":false},{"name":"Mak B. Arvin","is_ca":true},{"name":"John H. Hall","is_ca":false},{"name":"Mahendhiran Nair","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01382136207811692,"gpt":0.1695487667150535,"spread":0.1557274046369365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001668464,0.0006046477,0.0006060855,0.001306733,0.0002809903,0.002334226,0.0003502031,0.0006623085,0.002209692],"category_scores_gemma":[0.002995634,0.0002266385,0.0008067372,0.002089482,0.0006838871,0.0008424047,0.0009551462,0.0009510149,0.000390777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009483977,"about_ca_system_score_gemma":0.0005456221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03189955,"about_ca_topic_score_gemma":0.0147298,"domain_scores_codex":[0.9995075,0.0002252796,0.00003181446,0.00009539266,0.00004156593,0.00009841203],"domain_scores_gemma":[0.9969066,0.001309549,0.001219576,0.0001568144,0.0001697596,0.0002378478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006651684,0.0002535207,0.8576263,0.0001378055,0.0007535862,0.0007871558,0.0003745239,0.112918,0.0006293125,0.008480913,0.003494799,0.01387898],"study_design_scores_gemma":[0.0001272261,0.000328385,0.8312572,0.0002506024,0.0004845626,0.0002336043,0.001047307,0.1515622,0.001375851,0.00444325,0.008788536,0.0001012634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931844,0.001842405,0.001000026,0.0004548042,0.00003310622,0.000006270506,0.00145264,0.0000347727,0.001991519],"genre_scores_gemma":[0.9958047,0.001174373,0.0002744789,0.00003686287,0.00002850909,0.000009557275,0.001716333,0.000005872779,0.0009494266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03189955,"threshold_uncertainty_score":0.06342775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976885567","doi":"10.1080/13504850500425667","title":"Benford's law and naturally occurring prices in certain ebaY auctions","year":2007,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Benford's law; Common value auction; Collusion; Economics; Fibonacci number; Microeconomics; Business; Mathematical economics; Mathematics; Combinatorics; Statistics","authors":[{"name":"David E. A. Giles","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01641056027228928,"gpt":0.2430424020407519,"spread":0.2266318417684626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004673713,0.0005367095,0.001151659,0.00199999,0.00290372,0.00420507,0.001494762,0.002644925,0.005020976],"category_scores_gemma":[0.04541022,0.0006596108,0.0010102,0.002709443,0.006207137,0.009445459,0.002008131,0.003746697,0.0009068876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002083329,"about_ca_system_score_gemma":0.001171198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606643,"about_ca_topic_score_gemma":0.0008647116,"domain_scores_codex":[0.9946075,0.001937376,0.0003819587,0.000605342,0.001857682,0.000610221],"domain_scores_gemma":[0.978664,0.0142339,0.002205331,0.002228536,0.002035136,0.0006330276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002173487,0.00001337317,0.0005556644,0.00002133695,0.000005532661,0.0001565906,0.0001863163,0.001297573,0.000258662,0.9938351,0.0006047992,0.003043297],"study_design_scores_gemma":[0.00001428179,0.00001095951,0.000309119,0.00001504819,0.000003990585,0.0002917175,0.00004847389,0.01333445,0.0002608498,0.9839438,0.001750099,0.00001724376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3199421,0.001801206,0.5754454,0.005466377,0.0002776618,0.0001553535,0.0002274711,0.0002846864,0.09639969],"genre_scores_gemma":[0.9495935,0.0008758762,0.04160094,0.0005060647,0.0002472716,0.0001678711,0.0001296552,0.00008067591,0.006798088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005020976,"threshold_uncertainty_score":0.02471727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025603861","doi":"10.1080/1350485032000155431","title":"Laboratory markets in counterfeit goods: Hong Kong versus Las Vegas","year":2003,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; University of Nevada, Las Vegas","keywords":"Counterfeit; Las vegas; Empirical research; Economics; Government (linguistics); Advertising; Business; Microeconomics; Statistics","authors":[{"name":"Patrick J. Harvey","is_ca":false},{"name":"W. David Walls","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02070818098285205,"gpt":0.2693360600001464,"spread":0.2486278790172943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003689881,0.0003615895,0.0005775999,0.000425433,0.001170189,0.001688734,0.0006152872,0.0005844799,0.002597248],"category_scores_gemma":[0.004335753,0.0002610442,0.0003238849,0.000410496,0.00366765,0.001303933,0.0008934443,0.0005652207,0.0001802034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203532,"about_ca_system_score_gemma":0.001625446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04044128,"about_ca_topic_score_gemma":0.05150357,"domain_scores_codex":[0.9985592,0.0009549222,0.00005069759,0.0001615591,0.0001234676,0.0001502186],"domain_scores_gemma":[0.9910589,0.004734818,0.002068476,0.001189972,0.0003380387,0.0006098217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0368832,0.03392936,0.5765445,0.001080433,0.001124405,0.002205527,0.01790619,0.02062938,0.05466147,0.1399585,0.008115325,0.1069617],"study_design_scores_gemma":[0.006464332,0.02755532,0.7730724,0.0002977534,0.001031804,0.0006425656,0.03161947,0.05883305,0.04068781,0.03733312,0.02193713,0.0005253072],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975165,0.00008304681,0.000525707,0.0001773393,0.000006986739,0.00005712057,0.00003493756,0.000004592914,0.001593681],"genre_scores_gemma":[0.9979228,0.00007859677,0.0006344919,0.00009476006,0.000005546523,0.00009756037,0.00005532231,0.000002326858,0.001108479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04044128,"threshold_uncertainty_score":0.08041173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125576485","doi":"10.1080/1350485042000221571","title":"Anchoring and transaction utility: evidence from on-line auctions","year":2004,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Anchoring; Common value auction; Valuation (finance); Database transaction; Empirical evidence; Economics; Microeconomics; Business; Econometrics; Computer science; Database; Accounting; Psychology","authors":[{"name":"Anna Dodonova","is_ca":true},{"name":"Yuri Khoroshilov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0404205531242938,"gpt":0.2263019298518092,"spread":0.1858813767275154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006254576,0.0005085762,0.0007100628,0.001374689,0.0005814313,0.00278421,0.0008512379,0.001184734,0.01102417],"category_scores_gemma":[0.1032969,0.0004648469,0.0004005559,0.001894808,0.001556051,0.003982917,0.001212713,0.001457787,0.001692059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134412,"about_ca_system_score_gemma":0.0002106992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785736,"about_ca_topic_score_gemma":0.0008689099,"domain_scores_codex":[0.9947857,0.00332001,0.0003087531,0.0003417872,0.001046747,0.0001968802],"domain_scores_gemma":[0.8288952,0.118756,0.03452179,0.0112053,0.004789537,0.001832191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01069665,0.004488942,0.7366525,0.0009926785,0.001203469,0.001049955,0.005976424,0.006355911,0.005461873,0.02911195,0.004075905,0.1939338],"study_design_scores_gemma":[0.0009355043,0.003110644,0.8647951,0.0002732494,0.0005259199,0.001923144,0.00434473,0.02574109,0.004437034,0.08198623,0.0116422,0.0002850512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722322,0.001104479,0.004640133,0.0002931776,0.00001830348,0.00004684762,0.0001997226,0.00003703309,0.02142811],"genre_scores_gemma":[0.9980697,0.0002952079,0.000657593,0.00004793131,0.00002230286,0.00001174101,0.0001782621,0.00001233389,0.0007050913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01102417,"threshold_uncertainty_score":0.03687954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060178052","doi":"10.1080/13504851.2012.676730","title":"Education–job match among recent Canadian university graduates","year":2012,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal","funders":"","keywords":"Affect (linguistics); Disadvantaged; Graduation (instrument); Human capital; Investment (military); Demographic economics; Higher education; Psychology; Immigration; Labour economics; Medical education; Sociology; Political science; Economics; Economic growth; Medicine; Mathematics","authors":[{"name":"Brahim Boudarbat","is_ca":true},{"name":"Victor Chernoff","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01462802369194785,"gpt":0.1770237600691877,"spread":0.1623957363772399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092225,0.0002200862,0.000402867,0.003166295,0.002212015,0.001173851,0.001174559,0.000671472,0.003609561],"category_scores_gemma":[0.003183216,0.0002278898,0.0005359269,0.004589634,0.0005363006,0.000486124,0.001104638,0.0008710976,0.0006264342],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00840199,"about_ca_system_score_gemma":0.009891794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9660772,"about_ca_topic_score_gemma":0.9797856,"domain_scores_codex":[0.9990149,0.00004587766,0.00004222621,0.0001383214,0.0003279553,0.000430679],"domain_scores_gemma":[0.997285,0.0001776673,0.0007029951,0.00009659924,0.0008736686,0.0008641104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006243421,0.00005677814,0.9928999,0.00002026587,0.0000337459,0.00006180825,0.001005429,0.00007452363,0.0001289922,0.0001249839,0.001280714,0.00425054],"study_design_scores_gemma":[0.000001194665,0.00000804055,0.9987851,0.000006969919,0.000002779023,0.00001027748,0.0005642492,0.00005000046,0.00001571031,0.000007693895,0.0005434534,0.000004680065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911143,0.0003885557,0.00005442902,0.000274396,0.00001187506,0.00002401128,0.005723299,0.000008262557,0.002400814],"genre_scores_gemma":[0.9937801,0.0002429249,0.0000611144,0.00006891305,0.000006600543,0.0000144148,0.004301832,0.000003314085,0.0015208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.991598,"threshold_uncertainty_score":0.06824511,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019152754","doi":"10.1080/13504850500401437","title":"Hysteresis and non-linearities in unemployment rates","year":2006,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Unit root; Unit root test; Econometrics; Unemployment; Mean reversion; Hysteresis; Autoregressive model; Economics; Null hypothesis; Benchmark (surveying); Null (SQL); Mathematics; Statistics; Computer science; Macroeconomics; Physics; Geography; Cointegration; Geodesy","authors":[{"name":"Magnus Gustavsson","is_ca":false},{"name":"Pär Österholm","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02833210909523459,"gpt":0.1901711725647,"spread":0.1618390634694654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003053833,0.0001329646,0.0004287025,0.001054932,0.000267494,0.0008583696,0.0005796623,0.0005532095,0.002701136],"category_scores_gemma":[0.035029,0.0001952913,0.0004375715,0.0008252846,0.001075201,0.001120513,0.0008328263,0.0009200221,0.0003003516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321412,"about_ca_system_score_gemma":0.0004017385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892246,"about_ca_topic_score_gemma":0.001211899,"domain_scores_codex":[0.9980577,0.0006878575,0.0001967284,0.0004161695,0.0003787243,0.0002629466],"domain_scores_gemma":[0.9537145,0.03069815,0.01127477,0.00249805,0.001177052,0.0006373957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007178694,0.0002493471,0.9424099,0.0001007249,0.0003102888,0.0003584627,0.001253332,0.005351933,0.002323783,0.006485512,0.0002710225,0.04016791],"study_design_scores_gemma":[0.00003358981,0.000371579,0.9594654,0.00002786481,0.00008261285,0.0003232768,0.0007863578,0.0269428,0.001864544,0.00952524,0.0005515263,0.00002519597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960732,0.0001788902,0.002364582,0.0001190144,0.000006155111,0.00000778139,0.00004379456,0.00002344878,0.001183018],"genre_scores_gemma":[0.999773,0.00001996116,0.0000886402,0.000009432554,0.000007123713,0.000001618206,0.00002705514,0.000001580904,0.00007167972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003053833,"threshold_uncertainty_score":0.01615036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2475066954","doi":"10.1080/13504851.2016.1197361","title":"A panel data robust instrumental variable approach: a test of the new Fama-French five-factor model","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Sherbrooke; University of Ottawa; Institute on Governance","funders":"","keywords":"Panel data; Econometrics; Instrumental variable; Generalized method of moments; Capital asset pricing model; Profitability index; Hausman test; Economics; Factor analysis; Market liquidity; Fixed effects model; Mathematics; Statistics; Finance","authors":[{"name":"François‐Éric Racicot","is_ca":true},{"name":"William F. Rentz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0642090772731195,"gpt":0.1841746540673203,"spread":0.1199655767942008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02581292,0.001058514,0.002152479,0.001807613,0.001083998,0.002463765,0.003430952,0.002321584,0.0113294],"category_scores_gemma":[0.1140303,0.0003777058,0.002450448,0.002358156,0.001633915,0.002637064,0.002559433,0.002329783,0.001211426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662497,"about_ca_system_score_gemma":0.001686317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093227,"about_ca_topic_score_gemma":0.002679578,"domain_scores_codex":[0.9823502,0.01302523,0.0006020843,0.001872884,0.001440305,0.0007093165],"domain_scores_gemma":[0.8331103,0.1368428,0.01016307,0.01455704,0.004036382,0.001290496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002970768,0.00145252,0.1982538,0.00090453,0.007555133,0.002513542,0.002288182,0.21204,0.001804669,0.3647166,0.03644236,0.1690579],"study_design_scores_gemma":[0.001324573,0.001140428,0.07855851,0.0002940457,0.001376752,0.0003899651,0.001825722,0.7630733,0.001891498,0.1302256,0.01966516,0.0002343539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5580294,0.001506985,0.4076532,0.005708307,0.0005092693,0.0005243203,0.006698288,0.0009820136,0.01838818],"genre_scores_gemma":[0.9545063,0.0003873834,0.03713232,0.0009807606,0.0003248217,0.0004092031,0.004318181,0.0001043424,0.001836592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02581292,"threshold_uncertainty_score":0.1365134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066107386","doi":"10.1080/13504850601018312","title":"Foreign aid and ecological outcomes in poorer countries: an empirical analysis","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"International Development and Aid","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trent University","funders":"","keywords":"Deforestation (computer science); Harm; Empirical research; Affect (linguistics); Developing country; Ecology; Ecological study; Natural resource economics; Economics; Political science; Biology; Psychology; Environmental health","authors":[{"name":"B. Mak Arvin","is_ca":true},{"name":"Byron Lew","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02530205732674339,"gpt":0.2799781678432997,"spread":0.2546761105165563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001872786,0.0002647167,0.0005248172,0.002217586,0.0007719039,0.001133122,0.0003420302,0.0005915682,0.007728378],"category_scores_gemma":[0.009339543,0.0002452287,0.0007459035,0.003044185,0.001567679,0.0008970462,0.001817915,0.001345729,0.0004806666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007238653,"about_ca_system_score_gemma":0.0006029882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178073,"about_ca_topic_score_gemma":0.01868974,"domain_scores_codex":[0.9991783,0.0003408423,0.00005506011,0.00005789703,0.00007978125,0.0002880974],"domain_scores_gemma":[0.9842951,0.00642791,0.006300148,0.0006246153,0.0008339426,0.00151825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000149955,0.0001841328,0.9933147,0.00003143977,0.0001144357,0.000246856,0.0004042016,0.001850537,0.00002239775,0.0006532385,0.0004160009,0.002612108],"study_design_scores_gemma":[0.00002735515,0.0001851141,0.9924247,0.00008018952,0.0001104808,0.0003917559,0.003157794,0.001867221,0.00006971467,0.0005268272,0.001146099,0.00001268526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998278,0.0002815765,0.00005224123,0.0001885268,0.000003149197,0.000004600156,0.0002231647,0.000002275063,0.0009665432],"genre_scores_gemma":[0.9992119,0.0002752253,0.00002781156,0.00003302642,0.000007407938,0.000003661464,0.0002139299,0.000001595471,0.0002255205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02178073,"threshold_uncertainty_score":0.0433079,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2154709812","doi":"10.1080/13504851.2011.566175","title":"Testing for hysteresis in entrepreneurship in 23 OECD countries","year":2011,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Entrepreneurship; Hysteresis; Economics; Persistence (discontinuity); Panel data; Econometrics; Condensed matter physics","authors":[{"name":"Simon C. Parker","is_ca":true},{"name":"Emilio Congregado","is_ca":false},{"name":"Antonio A. Golpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0704834006915441,"gpt":0.1993403832654183,"spread":0.1288569825738742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00252375,0.0002573087,0.0004536675,0.002286061,0.0004644211,0.0011352,0.0003633811,0.0003166621,0.0009271199],"category_scores_gemma":[0.005959905,0.0001718664,0.0004347815,0.002993057,0.0007415225,0.0004484039,0.001248386,0.000486983,0.0001486714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007928276,"about_ca_system_score_gemma":0.0007019115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03667475,"about_ca_topic_score_gemma":0.0316074,"domain_scores_codex":[0.9991323,0.000267721,0.00007288409,0.0001737967,0.0001175304,0.0002357183],"domain_scores_gemma":[0.9896641,0.003144367,0.004661477,0.00076218,0.0009645508,0.000803223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007983029,0.00002584826,0.99249,0.00001244148,0.0001151514,0.00009895467,0.0003425793,0.002289943,0.0001453249,0.0002243065,0.0003190977,0.003856542],"study_design_scores_gemma":[0.00000739343,0.0000401958,0.9967854,0.00001049269,0.00003096885,0.00003539278,0.0005466142,0.001420616,0.0001928925,0.0001810374,0.0007399656,0.00000914272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985982,0.00009153596,0.0001340702,0.00004539529,0.000002251262,0.000003424047,0.0006032881,0.000007309742,0.0005146787],"genre_scores_gemma":[0.9991092,0.00004634756,0.00004471847,0.00001042031,0.000003689967,0.000004795384,0.0007134279,0.00000174405,0.0000656097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03667475,"threshold_uncertainty_score":0.07292253,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976672280","doi":"10.1080/13504850600675450","title":"Hysteresis vs. natural rate of unemployment in Brazil and Chile","year":2007,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Hysteresis; Natural rate of unemployment; Depreciation (economics); Econometrics; Structural break; Unit root; Beveridge curve; Keynesian economics; Macroeconomics; Human capital; Unemployment rate; Capital formation","authors":[{"name":"Fábio Augusto Reis Gomes","is_ca":false},{"name":"Cleomar Gomes da Silva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01004238317859038,"gpt":0.2017621916151802,"spread":0.1917198084365898,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144144,0.00008060656,0.0002594433,0.0015946,0.0003641316,0.0009730045,0.0004117593,0.0002807078,0.002273684],"category_scores_gemma":[0.01224098,0.00009550221,0.0003014989,0.001360397,0.000802293,0.0006396561,0.0008450067,0.0003963955,0.0001240624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264609,"about_ca_system_score_gemma":0.0005459352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03414546,"about_ca_topic_score_gemma":0.01343027,"domain_scores_codex":[0.9993401,0.0001943103,0.00005381377,0.00009659451,0.0001567287,0.0001583882],"domain_scores_gemma":[0.9923127,0.004076106,0.0020401,0.000417494,0.0008275058,0.0003261795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002967754,0.00006711548,0.9702162,0.0001420549,0.0001338945,0.0004008129,0.003835782,0.003564052,0.0008995141,0.007321662,0.0008246537,0.01229742],"study_design_scores_gemma":[0.00001591428,0.00006501367,0.9848197,0.00005678863,0.00002610512,0.0001311511,0.003551539,0.006578785,0.0005471339,0.002193879,0.001992582,0.0000214161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952667,0.0002163896,0.000261201,0.0001445316,0.000002691536,0.00000882439,0.0005215843,0.0000111609,0.003566956],"genre_scores_gemma":[0.9996833,0.00003048631,0.00003276277,0.000005363677,0.000002175276,0.000004218334,0.000144131,0.00000172053,0.00009595777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03414546,"threshold_uncertainty_score":0.06789345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024458608","doi":"10.1080/13504850802599425","title":"Public and private investment rates of return: evidence for industrialized countries","year":2009,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Investment (military); Crowds; Return on investment; Public investment; Economics; Rate of return; Open-ended investment company; Developed country; Point (geometry); European union; International economics; Economic policy; Business; Finance; Macroeconomics; Production (economics); Political science","authors":[{"name":"António Afonso","is_ca":false},{"name":"Miguel St. Aubyn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1282957372354665,"gpt":0.2561647580192927,"spread":0.1278690207838261,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001782326,0.00031602,0.0006371099,0.001515014,0.0003242318,0.002419929,0.0003354982,0.0005799255,0.001774782],"category_scores_gemma":[0.01045553,0.0003187933,0.0006894907,0.002789087,0.00091958,0.000930719,0.001000801,0.001090328,0.0003662111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006482849,"about_ca_system_score_gemma":0.0004529454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669162,"about_ca_topic_score_gemma":0.009922791,"domain_scores_codex":[0.999263,0.0001800487,0.0000669775,0.0001670819,0.0001397554,0.0001831626],"domain_scores_gemma":[0.984838,0.005057062,0.007253562,0.001159022,0.00111789,0.0005744902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004517023,0.00006377248,0.9651019,0.00007486659,0.0004429868,0.0001826364,0.0003360652,0.01175001,0.0002934782,0.006984283,0.002014787,0.0123036],"study_design_scores_gemma":[0.00007393406,0.0000972863,0.9849358,0.0000799221,0.0002465298,0.0001065966,0.0005995682,0.007739387,0.000612919,0.002821399,0.002656953,0.00002972582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930007,0.001228121,0.0005045311,0.0004773988,0.00001728185,0.000003482196,0.0009432713,0.00004905921,0.003776073],"genre_scores_gemma":[0.9977082,0.0005971944,0.00009018906,0.00003574165,0.00002771518,0.000002584866,0.001284267,0.000007597038,0.0002465579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669162,"threshold_uncertainty_score":0.03318894,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118301012","doi":"10.1080/13504851.2010.496721","title":"Modelling UK household expenditure: economic versus noneconomic drivers","year":2010,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Surrey Place Centre","funders":"","keywords":"Economics; Incentive; Consumption (sociology); Goods and services; Public economics; Econometrics; Microeconomics; Economy","authors":[{"name":"Mona Chitnis","is_ca":true},{"name":"Lester C. Hunt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01485974088754499,"gpt":0.1879776098273171,"spread":0.1731178689397722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005665138,0.0004495228,0.0003538189,0.0007198399,0.0001585095,0.001074145,0.0005826706,0.0009518647,0.003301836],"category_scores_gemma":[0.003238833,0.0004723983,0.0006999969,0.001277454,0.0004067739,0.001034363,0.0007484383,0.0006958078,0.0003951174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064795,"about_ca_system_score_gemma":0.0008987396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07111883,"about_ca_topic_score_gemma":0.05880151,"domain_scores_codex":[0.999638,0.0001780632,0.00002199916,0.00005118443,0.00004461576,0.00006617052],"domain_scores_gemma":[0.9991515,0.0005347245,0.0001522031,0.00004270528,0.000079318,0.00003952403],"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":[0.0001353144,0.00005170417,0.04492421,0.0000825708,0.00006991432,0.0002051186,0.0001764717,0.9330685,0.0002894004,0.01442814,0.001154265,0.00541439],"study_design_scores_gemma":[0.00002663241,0.0000748144,0.02293811,0.0000249568,0.0000262471,0.00005130354,0.0003313363,0.969538,0.000176639,0.004539451,0.002248704,0.00002377954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753617,0.0002812149,0.0132434,0.00145951,0.00003729251,0.0000418994,0.002910789,0.00005335719,0.006610889],"genre_scores_gemma":[0.9934514,0.0002897159,0.001437473,0.00003901453,0.00001319951,0.00003888593,0.001043603,0.00001352787,0.003673308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07111883,"threshold_uncertainty_score":0.1414098,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142902326","doi":"10.1080/13504850500166246","title":"Demand stochastics, supply adaptation, and the distribution of film earnings","year":2005,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"University of Hong Kong","keywords":"Econometrics; Economics; Supply and demand; Sample (material); Earnings; Power law; Exponential distribution; Pareto distribution; Exponential function; Microeconomics; Distribution (mathematics); Mathematics; Statistics","authors":[{"name":"W. David Walls","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01149744549847101,"gpt":0.1711779109341923,"spread":0.1596804654357213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002424963,0.0002861112,0.0005233837,0.0009564989,0.0004580157,0.001924243,0.000825311,0.001244627,0.006253782],"category_scores_gemma":[0.01847504,0.0004816143,0.0005358515,0.0009167307,0.001632441,0.002695323,0.0009079342,0.001461562,0.0004424666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707491,"about_ca_system_score_gemma":0.0003684294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004991492,"about_ca_topic_score_gemma":0.002812761,"domain_scores_codex":[0.9992961,0.0002960474,0.00003356466,0.0001226338,0.0001185628,0.0001331364],"domain_scores_gemma":[0.9911412,0.006146686,0.001533974,0.0004566063,0.0004638499,0.0002576427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004717327,0.000202025,0.03361154,0.0001251289,0.00008495343,0.001064364,0.001274579,0.3303593,0.002987934,0.6036167,0.003188546,0.02301315],"study_design_scores_gemma":[0.00004227891,0.00008148424,0.02612396,0.00003005114,0.00002065123,0.00026381,0.0008654283,0.7339947,0.000455747,0.2357119,0.002344561,0.00006530612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914101,0.0007268807,0.08861429,0.002771097,0.00004712171,0.00008176573,0.0005922107,0.0001044075,0.01565224],"genre_scores_gemma":[0.9955629,0.0002317279,0.001358476,0.00003806558,0.00003295615,0.00002195734,0.0001258764,0.00001570727,0.002612303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006253782,"threshold_uncertainty_score":0.02092099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124219508","doi":"10.1080/13504851.2010.537623","title":"Using VIX data to enhance technical trading signals","year":2011,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Technical analysis; Volatility (finance); Trading strategy; Economics; Econometrics; Financial economics; Algorithmic trading; Stock (firearms); Pairs trade; Alternative trading system","authors":[{"name":"James Kozyra","is_ca":true},{"name":"Camillo Lento","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4184924711984909,"gpt":0.4292130462037581,"spread":0.01072057500526719,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001918287,0.0004243972,0.0003137492,0.002193271,0.0001731473,0.001378308,0.0003091921,0.0004487896,0.0008479301],"category_scores_gemma":[0.01588631,0.0001593831,0.0002376647,0.001748343,0.0002009829,0.001136847,0.0006031455,0.0005595632,0.0002341222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044205,"about_ca_system_score_gemma":0.0001922656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004570106,"about_ca_topic_score_gemma":0.0005821668,"domain_scores_codex":[0.9987895,0.0003212873,0.0001209379,0.0001376862,0.0005676119,0.00006298925],"domain_scores_gemma":[0.9931889,0.003868748,0.001308119,0.0008769069,0.0006770453,0.0000803506],"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":[0.000942572,0.0003418818,0.411346,0.0002040101,0.0003251193,0.0007416703,0.0005846925,0.1404376,0.05263948,0.01615616,0.00203557,0.3742452],"study_design_scores_gemma":[0.00005846702,0.0006555915,0.4073177,0.00003995208,0.00008334672,0.0006721707,0.0002826551,0.5326957,0.04371739,0.01000944,0.004353727,0.0001138929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401017,0.0001090479,0.05397737,0.0001260526,0.0000465677,0.00004675906,0.0004707019,0.0003124567,0.00480932],"genre_scores_gemma":[0.9808792,0.00004250592,0.0182178,0.00001621747,0.00002591168,0.00001503776,0.000506599,0.00002566362,0.0002709198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002193271,"threshold_uncertainty_score":0.01014501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031309380","doi":"10.1080/1350485042000189569","title":"On the link between volatility and growth: evidence from Canadian Provinces","year":2004,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Volatility (finance); Economics; Business cycle; Panel data; Econometrics; Monetary economics; Macroeconomics","authors":[{"name":"Joseph P. DeJuan","is_ca":true},{"name":"Simon Gurr","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02261250720747915,"gpt":0.1873786556908302,"spread":0.1647661484833511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001977123,0.0004302668,0.0006420531,0.003484096,0.002347771,0.002003136,0.0008740266,0.0003292735,0.001690604],"category_scores_gemma":[0.01148966,0.0003188754,0.000762562,0.0106836,0.001009021,0.0005132391,0.0009741547,0.000626453,0.0001340925],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01806899,"about_ca_system_score_gemma":0.0345152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964503,"about_ca_topic_score_gemma":0.9972423,"domain_scores_codex":[0.9985386,0.0001373821,0.00009396015,0.0001810501,0.0006239205,0.0004252119],"domain_scores_gemma":[0.9859926,0.00299998,0.00254076,0.0007053142,0.006932694,0.0008287134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000257797,0.00002331358,0.968942,0.0001585656,0.0002818294,0.0001730211,0.001320046,0.002391458,0.0002986909,0.002342456,0.003581837,0.02022896],"study_design_scores_gemma":[0.00000906464,0.000009306331,0.9944284,0.00005783606,0.00009260132,0.00002813658,0.0007250588,0.0007439979,0.0001716668,0.0001680722,0.003543583,0.00002234547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964247,0.005734735,0.0005239003,0.002042889,0.00003989569,0.00002712181,0.01102092,0.00003131789,0.0163321],"genre_scores_gemma":[0.9927347,0.002632926,0.0002247291,0.0001071667,0.00001086274,0.000005448591,0.003495204,0.000009008198,0.0007799716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.981931,"threshold_uncertainty_score":0.1311003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046997052","doi":"10.1080/13504851.2020.1803473","title":"Revisiting purchasing power parity in the ASEAN-5 countries: evidence from the Fourier quantile unit root test","year":2020,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Unit root; Quantile; Purchasing power parity; Unit root test; Econometrics; Economics; Statistics; Mathematics; Exchange rate; Monetary economics; Cointegration","authors":[{"name":"Pejman Bahramian","is_ca":true},{"name":"Andisheh Saliminezhad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09094930639246926,"gpt":0.2340374795898476,"spread":0.1430881731973784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005989413,0.0002564467,0.0004376704,0.001194989,0.000445704,0.001146458,0.0006225295,0.0004279742,0.005240703],"category_scores_gemma":[0.03617812,0.0001298114,0.0004484006,0.002045552,0.001840969,0.002125313,0.00104021,0.001075178,0.0005537659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002365527,"about_ca_system_score_gemma":0.0003508778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003265116,"about_ca_topic_score_gemma":0.001432683,"domain_scores_codex":[0.9978728,0.001105889,0.0001332317,0.0002822956,0.0004229861,0.000182768],"domain_scores_gemma":[0.9556783,0.02935905,0.008352603,0.002856688,0.003047844,0.0007054626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007758816,0.0001996949,0.8719127,0.0001338583,0.0005309733,0.002088533,0.001566084,0.007694118,0.0009706634,0.02753739,0.002778098,0.083812],"study_design_scores_gemma":[0.00009227983,0.0004731037,0.9379609,0.0001024208,0.000256749,0.000999775,0.003731991,0.02840124,0.001423578,0.0211556,0.005342996,0.00005935219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873598,0.0004581414,0.003957635,0.0005382861,0.00002486794,0.000006300564,0.0003276711,0.0000185992,0.007308741],"genre_scores_gemma":[0.9993274,0.00009156761,0.0002268115,0.00003278586,0.00001209717,0.000002146992,0.0001731189,0.000003017822,0.0001310878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005989413,"threshold_uncertainty_score":0.03167546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076196199","doi":"10.1080/13504850110086044","title":"Unemployment and input prices: a fractional cointegration approach","year":2002,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Econometrics; Unemployment; Autocorrelation; Long memory; Macroeconomics; Mathematics; Volatility (finance); Statistics","authors":[{"name":"Guglielmo Maria Caporale","is_ca":false},{"name":"Luis A. Gil‐Alana","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06025293333910499,"gpt":0.1871502545520692,"spread":0.1268973212129643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004970069,0.0002713987,0.0004544712,0.0009703241,0.0008288401,0.001544633,0.000344702,0.000657066,0.001985481],"category_scores_gemma":[0.002894143,0.0001839715,0.0005121351,0.001236358,0.000611983,0.001003473,0.0005335049,0.0005102472,0.0001043774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447401,"about_ca_system_score_gemma":0.001244191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08346716,"about_ca_topic_score_gemma":0.05828123,"domain_scores_codex":[0.9997965,0.00006557706,0.000009652804,0.00003031123,0.00002729948,0.00007077592],"domain_scores_gemma":[0.9995826,0.0002218775,0.00009958506,0.0000262806,0.0000455337,0.00002406408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002617087,0.0001278978,0.08403453,0.0001713849,0.000348966,0.001281186,0.001374067,0.3584858,0.002151343,0.4665976,0.001396741,0.08376883],"study_design_scores_gemma":[0.00002727641,0.00006220347,0.03636434,0.00008108545,0.0001388884,0.0001770529,0.0005877134,0.8098177,0.0007559118,0.1470587,0.004892209,0.00003695436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.858301,0.004647989,0.1210294,0.001648374,0.00007816207,0.00002465211,0.000167832,0.0000916984,0.01401081],"genre_scores_gemma":[0.9951594,0.0008930624,0.002274462,0.00002278645,0.00002248527,0.000005211979,0.00003921818,0.000005435772,0.001577809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08346716,"threshold_uncertainty_score":0.1659626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123077678","doi":"10.1080/13504850600706370","title":"Nonlinear vs. nonstationary of hysteresis in unemployment: evidence from OECD economies","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Hysteresis; Unemployment; Economics; Nonlinear system; Macroeconomics; Keynesian economics; Econometrics; Physics","authors":[{"name":"Cheng-Hsun Lin","is_ca":false},{"name":"Nai‐Fong Kuo","is_ca":false},{"name":"Cheng-Da Yuan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07243565176200005,"gpt":0.2130149470119645,"spread":0.1405792952499644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001387633,0.0001405155,0.0002954198,0.002052853,0.0005802847,0.00107881,0.0002552253,0.0002976907,0.001609016],"category_scores_gemma":[0.006257962,0.00008923354,0.00034488,0.002243223,0.00141398,0.0008937121,0.001310029,0.00030039,0.0001610212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007728806,"about_ca_system_score_gemma":0.000589058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03104998,"about_ca_topic_score_gemma":0.03124933,"domain_scores_codex":[0.9994583,0.0001236794,0.00005643918,0.00008950023,0.0001286957,0.0001434013],"domain_scores_gemma":[0.9939519,0.002479747,0.002046745,0.000505558,0.0007521593,0.0002638679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003674018,0.00007032821,0.9641694,0.0002135245,0.000135271,0.0007935227,0.004762006,0.0007750654,0.0005364991,0.00321893,0.0006294984,0.02432853],"study_design_scores_gemma":[0.000006192879,0.00002674259,0.9924563,0.00006170651,0.00004191449,0.0001263287,0.005021692,0.0002521702,0.0001821174,0.0006262513,0.001191312,0.000007332376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941983,0.0007177627,0.0001404539,0.0002070959,0.000002993713,0.000005123858,0.0002255794,0.000003112342,0.004499606],"genre_scores_gemma":[0.9992647,0.0004031188,0.00004091207,0.00003160924,0.000004867303,0.000002504782,0.0001429896,0.000001683892,0.0001075148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03104998,"threshold_uncertainty_score":0.06173849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011294660","doi":"10.1080/13504850701720007","title":"On the persistence of the gender unemployment gap: evidence from eight OECD countries","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Unemployment; Demographic economics; Unit root; Economics; Null hypothesis; Geography; Econometrics; Economic growth","authors":[{"name":"Hervé Queneau","is_ca":false},{"name":"Amit Sen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07477991223419533,"gpt":0.2018070156405162,"spread":0.1270271034063209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00181053,0.0002174532,0.0004419707,0.002750608,0.0006131989,0.001036212,0.0003139731,0.0003620431,0.001211393],"category_scores_gemma":[0.005275125,0.0001253762,0.0004238417,0.004874164,0.0008203357,0.0006746263,0.001214589,0.0004661473,0.000243424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005492611,"about_ca_system_score_gemma":0.0007224318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06721517,"about_ca_topic_score_gemma":0.07556077,"domain_scores_codex":[0.9993451,0.0001197393,0.00007445024,0.000112575,0.0001328385,0.0002152203],"domain_scores_gemma":[0.9899877,0.002525788,0.004758236,0.00053052,0.001431696,0.0007661347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001543783,0.00002424714,0.989599,0.00006320899,0.00008677258,0.0002168052,0.001340815,0.0002897797,0.0001047212,0.0004272358,0.0005445291,0.007148501],"study_design_scores_gemma":[0.000005111542,0.00003139227,0.9966052,0.0000407158,0.00003169042,0.00006114626,0.0017465,0.0001137371,0.00007427514,0.0000963863,0.001187402,0.000006424763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960162,0.000735357,0.00006746834,0.0001586765,0.00000677939,0.000003864744,0.001493624,0.000002423875,0.001515488],"genre_scores_gemma":[0.9973376,0.0005280174,0.00004261857,0.0000374207,0.00001282624,0.000004861059,0.001868096,0.000001849937,0.0001667296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06721517,"threshold_uncertainty_score":0.1336479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212802106","doi":"10.1080/13504851.2022.2036319","title":"The persistent effects of COVID-19 on labour outcomes: evidence from Peru","year":2022,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demographic economics; Development economics; Economic impact analysis; Medicine","authors":[{"name":"Minoru German Higa Júnior","is_ca":true},{"name":"Carlos Ospino","is_ca":false},{"name":"Fernando M. Aragón","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03920982854699676,"gpt":0.2427346049141067,"spread":0.2035247763671099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285942,0.0002432078,0.0003220623,0.0009161801,0.0005552383,0.001106024,0.000435072,0.0005537487,0.004784073],"category_scores_gemma":[0.00718812,0.0001694016,0.000375572,0.002114106,0.000714657,0.0007962681,0.00265223,0.0009393038,0.0005640612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921879,"about_ca_system_score_gemma":0.0005290015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03750239,"about_ca_topic_score_gemma":0.03352655,"domain_scores_codex":[0.9993006,0.0003429693,0.00003418598,0.0000744198,0.0000716602,0.000176098],"domain_scores_gemma":[0.9955881,0.001849654,0.00165429,0.0002343612,0.0004482823,0.0002252725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004376259,0.0002178576,0.9556643,0.0005686361,0.0004306651,0.001099752,0.006272968,0.001115048,0.000362499,0.002639626,0.004031176,0.02715978],"study_design_scores_gemma":[0.00001749093,0.0002384732,0.9823102,0.0002854589,0.0001312993,0.000136035,0.00756913,0.0005175021,0.0001677147,0.0008999801,0.007708762,0.00001798194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837593,0.002951063,0.0004471692,0.003331841,0.00002707797,0.00002526391,0.002160838,0.00001360286,0.007283801],"genre_scores_gemma":[0.9949914,0.002297909,0.0001045424,0.0002355927,0.00004595388,0.000027901,0.001409284,0.000006833926,0.0008807004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03750239,"threshold_uncertainty_score":0.07456815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946489467","doi":"10.1080/13504851.2019.1616049","title":"Evaluating real estate development project with Monte Carlo based binomial options pricing model","year":2019,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Real estate; Binomial options pricing model; Monte Carlo method; Econometrics; Value (mathematics); Economics; Valuation of options; Option value; Binomial theorem; Present value; Capitalization rate; Mathematics; Statistics; Microeconomics; Finance; Real estate investment trust","authors":[{"name":"I‐Cheng Yeh","is_ca":false},{"name":"Che-Hui Lien","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05431747457081746,"gpt":0.2440469559557728,"spread":0.1897294813849554,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003380846,0.0007336288,0.001353121,0.00128694,0.000423363,0.002140184,0.001593034,0.001381389,0.002790701],"category_scores_gemma":[0.008195492,0.0005345868,0.00111222,0.001219854,0.000676602,0.002301524,0.0007414151,0.0009504718,0.0002004998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845502,"about_ca_system_score_gemma":0.001434313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112554,"about_ca_topic_score_gemma":0.007633304,"domain_scores_codex":[0.9979547,0.001088592,0.00007921454,0.0001863624,0.0004621462,0.000228832],"domain_scores_gemma":[0.9947443,0.004016536,0.0004246786,0.0001308002,0.0005224179,0.0001612666],"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":[0.00004084788,0.00003673336,0.002225584,0.00002776481,0.00002475209,0.0000740917,0.00003589657,0.9754314,0.0001892034,0.01467717,0.0001732425,0.007063221],"study_design_scores_gemma":[0.000003162877,0.000008788285,0.0001525385,0.000002792391,0.000004587986,0.000009244337,0.000005391824,0.9977233,0.00004614351,0.001991456,0.00004846639,0.000004256011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2107238,0.0008933858,0.7785629,0.0005114865,0.00004978479,0.0001587299,0.0001255268,0.0001852469,0.008789226],"genre_scores_gemma":[0.950785,0.0004043291,0.04629869,0.00004489408,0.00002702443,0.0001247382,0.0001052985,0.00002183296,0.002188183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112554,"threshold_uncertainty_score":0.02237982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034760117","doi":"10.1080/13504850110054922","title":"Interest rate spread and real activity: evidence for the UK","year":2002,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Predictive power; Econometrics; Economics; Interest rate; Stock (firearms); Stock market; Index (typography); Growth rate; Stock market index; Yield curve; Financial economics; Monetary economics; Mathematics; Geography; Computer science","authors":[{"name":"David G. McMillan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2188882902324572,"gpt":0.2495401457135199,"spread":0.0306518554810627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064029,0.0001654599,0.0002831965,0.001209949,0.0001888951,0.001105513,0.0002256974,0.0003715978,0.005381182],"category_scores_gemma":[0.01371454,0.0001650354,0.0002568029,0.002421664,0.0005432522,0.0007111284,0.0007572006,0.0004177699,0.001022692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005147546,"about_ca_system_score_gemma":0.0003362931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03965005,"about_ca_topic_score_gemma":0.03439714,"domain_scores_codex":[0.9992811,0.0001985928,0.0001326304,0.0001473811,0.0001639042,0.00007642195],"domain_scores_gemma":[0.9850279,0.006551785,0.004588259,0.001084661,0.002216863,0.0005305795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009801753,0.0000379462,0.9514853,0.0002446833,0.0002153468,0.0008985584,0.001034153,0.0006442585,0.000520066,0.001429098,0.002385773,0.04012461],"study_design_scores_gemma":[0.00002172996,0.00007282219,0.9942638,0.0001460431,0.00007561217,0.0003660258,0.000431392,0.0003702608,0.0001898748,0.0002125316,0.003834522,0.00001531082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97284,0.009859628,0.0002663179,0.001414528,0.0000510916,0.000006905111,0.001309183,0.00001149401,0.0142408],"genre_scores_gemma":[0.9945991,0.003596434,0.00006518317,0.0001214218,0.00003398849,0.000003015897,0.0005936595,0.000007994307,0.0009791218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03965005,"threshold_uncertainty_score":0.07883853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090624992","doi":"10.1080/1350485022000044066","title":"Empirical evidence on real convergence in some OECD countries","year":2003,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Convergence (economics); Economics; Econometrics; Per capita; Order (exchange); Benchmark (surveying); Real gross domestic product; Parametric statistics; Series (stratigraphy); Macroeconomics; International economics; Statistics; Geography; Mathematics; Demography; Finance","authors":[{"name":"Juncal Cuñado","is_ca":false},{"name":"Luis A. Gil‐Alana","is_ca":false},{"name":"Fernando Pérez de Gracia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06011455146710027,"gpt":0.2347035119628379,"spread":0.1745889604957377,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003467127,0.000289269,0.0004041061,0.005218447,0.0006482392,0.001769675,0.0002838601,0.0003153551,0.002971517],"category_scores_gemma":[0.0192832,0.0001699084,0.0003412285,0.007279378,0.001730241,0.00104699,0.001444463,0.0005860301,0.0004373542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529853,"about_ca_system_score_gemma":0.001254725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06153628,"about_ca_topic_score_gemma":0.0514311,"domain_scores_codex":[0.9986739,0.0003528099,0.0001723005,0.0001611622,0.0003794106,0.0002604308],"domain_scores_gemma":[0.9730023,0.009710416,0.006828747,0.002154329,0.007276123,0.001028117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004231719,0.00008388635,0.9256842,0.000401146,0.0002655557,0.0009436507,0.002399623,0.005636565,0.0005353329,0.01531156,0.004050792,0.04426431],"study_design_scores_gemma":[0.00001470718,0.00004427037,0.9839609,0.0001797768,0.00008220624,0.0003693012,0.0031337,0.0009350091,0.000514768,0.001953303,0.008788178,0.00002392384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674101,0.003134159,0.0005826061,0.0006729934,0.00002488579,0.00001255034,0.001570443,0.00004119967,0.02655083],"genre_scores_gemma":[0.9944836,0.002307231,0.0002916962,0.00009409817,0.00001848783,0.00001033679,0.00214953,0.0000141766,0.0006308009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06153628,"threshold_uncertainty_score":0.1223562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1723437112","doi":"10.1080/13504851.2015.1042133","title":"The market structure–performance relationship applied to the Canadian wine industry","year":2015,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Reputation; Market power; Econometrics; Market structure; Wine; Economics; Efficient-market hypothesis; Regression analysis; Business; Marketing; Industrial organization; Statistics; Mathematics; Microeconomics; Geography; Stock market; Political science; Food science","authors":[{"name":"J. François Outreville","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02046031110562539,"gpt":0.1822988179013744,"spread":0.161838506795749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553258,0.000282274,0.0003307185,0.004032769,0.001373302,0.001584352,0.0005250766,0.0002450606,0.003577038],"category_scores_gemma":[0.00817441,0.0001300407,0.0004917341,0.006227147,0.0009266938,0.0007057139,0.0007345399,0.0004958783,0.0002539692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01082571,"about_ca_system_score_gemma":0.01230178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9343324,"about_ca_topic_score_gemma":0.9550306,"domain_scores_codex":[0.9986505,0.0001565814,0.00004796564,0.000127965,0.0007629871,0.0002540785],"domain_scores_gemma":[0.9909244,0.002550431,0.001636119,0.0003818355,0.003757955,0.0007492618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008411078,0.00006301661,0.9718761,0.00004658302,0.0001243786,0.0001410022,0.0007227254,0.003263316,0.0005824619,0.002812991,0.001315985,0.01896729],"study_design_scores_gemma":[0.000003385668,0.00002349595,0.99557,0.000007170604,0.00001600866,0.00001717393,0.0003977461,0.002444877,0.0001442148,0.0001783458,0.001189064,0.000008567934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832398,0.0003159428,0.001007937,0.0002779263,0.00001099732,0.00003674638,0.001755256,0.00003071774,0.01332467],"genre_scores_gemma":[0.9980762,0.00008233031,0.0003636632,0.00001360793,0.0000053993,0.000006983269,0.000604454,0.00000576656,0.000841675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06566763,"threshold_uncertainty_score":0.1321087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230044764","doi":"10.1080/13504850600949145","title":"Nonlinear vs. nonstationary of hysteresis in unemployment: evidence from OECD economies","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Hysteresis; Unemployment; Unit root; Economics; Unemployment rate; Mean reversion; Nonlinear system; Point (geometry); Econometrics; Unit (ring theory); Unit root test; Empirical evidence; Series (stratigraphy); Macroeconomics; Keynesian economics; Demographic economics; Mathematics; Cointegration; Physics; Geology","authors":[{"name":"Cheng-Hsun Lin","is_ca":false},{"name":"Nai‐Fong Kuo","is_ca":false},{"name":"Cheng-Da Yuan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07243565176200005,"gpt":0.2130149470119645,"spread":0.1405792952499644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395736,0.0001337397,0.0003017978,0.002060192,0.0005495444,0.001028741,0.0002561021,0.0002824442,0.001386292],"category_scores_gemma":[0.007219935,0.00008522443,0.0003256329,0.00215915,0.001507661,0.000844912,0.001311498,0.0002957208,0.0001446207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000761311,"about_ca_system_score_gemma":0.0006111772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251046,"about_ca_topic_score_gemma":0.02832374,"domain_scores_codex":[0.999431,0.0001376937,0.00006163224,0.0000899091,0.0001411732,0.000138694],"domain_scores_gemma":[0.9929717,0.002837274,0.002455973,0.0005604239,0.0008641105,0.0003105255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000344853,0.00006158552,0.9648257,0.000186968,0.0001256966,0.0006841922,0.005539584,0.0007319234,0.0004888726,0.002727568,0.0006355424,0.02364736],"study_design_scores_gemma":[0.00000572604,0.00002262281,0.9929911,0.00005575669,0.00004009563,0.0001131284,0.004768882,0.000243729,0.0001453393,0.0005956099,0.001010949,0.00000704909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953707,0.0006179862,0.0001285376,0.0001776363,0.000002779316,0.000004063414,0.0001807906,0.000002793031,0.003514735],"genre_scores_gemma":[0.9993914,0.0003296946,0.00003835809,0.00002999295,0.000005353349,0.000002340048,0.0001191667,0.000001659683,0.00008197829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03251046,"threshold_uncertainty_score":0.06464243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009482751","doi":"10.1080/13504850600993531","title":"Competitive structure of Canadian wheat exports in the world market","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pooling; Business; Economics; Market power; Government (linguistics); Marketing; International trade; Market economy","authors":[{"name":"Hyun Joung Jin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02681357117297101,"gpt":0.1632997229606765,"spread":0.1364861517877055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004362263,0.0002314438,0.0002064652,0.003607003,0.002431914,0.002605133,0.0004867704,0.0002412346,0.009242478],"category_scores_gemma":[0.00210219,0.00009907929,0.0002425647,0.004790577,0.0008092642,0.0005093851,0.0006438985,0.0003220197,0.0003379906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02189624,"about_ca_system_score_gemma":0.009873966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9613549,"about_ca_topic_score_gemma":0.9785661,"domain_scores_codex":[0.9994755,0.00002601798,0.000009148844,0.00006255309,0.0002412719,0.0001855249],"domain_scores_gemma":[0.9983406,0.000137578,0.0002471847,0.00004068337,0.0008215583,0.0004123528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005934253,0.0001371077,0.8610967,0.0001211739,0.0001226441,0.000718136,0.009213411,0.002406951,0.003083898,0.03939948,0.02298117,0.06012588],"study_design_scores_gemma":[0.00001281749,0.00003099525,0.9677575,0.00002284989,0.0000166387,0.00007116813,0.0071091,0.002337925,0.0002567254,0.0005491279,0.02179915,0.00003597086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493372,0.0003822462,0.0001845725,0.0004158426,0.000008755512,0.0000253662,0.002791891,0.00001415129,0.04684011],"genre_scores_gemma":[0.9941354,0.000148748,0.0001214184,0.00003678862,0.000004489556,0.000004372819,0.001316853,0.00000450675,0.004227412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03864509,"threshold_uncertainty_score":0.158869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3192646710","doi":"10.1080/13504851.2021.1961116","title":"A coronavirus outbreak and sector stock returns: a tale from the first ten weeks of 2020","year":2021,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Outbreak; Stock (firearms); Coronavirus disease 2019 (COVID-19); Economics; Business; Economic sector; Monetary economics; Demographic economics; Economy; Geography; Biology; Infectious disease (medical specialty)","authors":[{"name":"Khoa Nguyen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03857829001136406,"gpt":0.2263888480275546,"spread":0.1878105580161906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009082279,0.0003061132,0.0002130092,0.000923808,0.0002914509,0.001515693,0.0001886414,0.000605918,0.001473485],"category_scores_gemma":[0.002964339,0.00009833354,0.0003264871,0.0009125833,0.0003654306,0.0011955,0.0008795241,0.000812899,0.0003497669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006965296,"about_ca_system_score_gemma":0.00040626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01507375,"about_ca_topic_score_gemma":0.01893752,"domain_scores_codex":[0.9997678,0.00003091346,0.0000148805,0.00002564141,0.00006493036,0.00009570723],"domain_scores_gemma":[0.998042,0.0002448288,0.000945958,0.00006729944,0.0004112602,0.000288592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002086301,0.00006428485,0.9669335,0.00006119357,0.0001298295,0.0004063126,0.0003637223,0.001022193,0.000545301,0.0009455641,0.005207129,0.02411232],"study_design_scores_gemma":[0.000002771017,0.0001262217,0.9933739,0.00007472216,0.00003225528,0.00009698108,0.0009818516,0.0006552779,0.0002775717,0.0003570754,0.004008461,0.00001294716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835445,0.004265222,0.000277539,0.004222507,0.000158212,0.00001068071,0.001929182,0.00001636463,0.005575773],"genre_scores_gemma":[0.9959064,0.001620193,0.0000730582,0.0004187575,0.000130337,0.000003354855,0.001168429,0.000004000398,0.0006754711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01507375,"threshold_uncertainty_score":0.02997202,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213046017","doi":"10.1080/13504851.2022.2041165","title":"The profitability of trading US stocks in Quarter 4 - evidence from trading signals emitted by SOI and RSI","year":2022,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Profitability index; Technical analysis; Stock (firearms); Econometrics; Financial economics; Economics; Business; Actuarial science; Finance; Engineering; Geography","authors":[{"name":"Min-Yuh Day","is_ca":false},{"name":"Yirung Cheng","is_ca":false},{"name":"Paoyu Huang","is_ca":false},{"name":"Yensen Ni","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0223764863525297,"gpt":0.1918277479725641,"spread":0.1694512616200344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006328184,0.0001869691,0.0002383249,0.001252356,0.0001522019,0.0008735295,0.0002069076,0.0003284305,0.0009880423],"category_scores_gemma":[0.004427329,0.00008241664,0.0002689948,0.0009086525,0.0002679888,0.0005062476,0.0005164768,0.0003614493,0.0002726515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003060192,"about_ca_system_score_gemma":0.0002963942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005169021,"about_ca_topic_score_gemma":0.006880727,"domain_scores_codex":[0.9996978,0.00003235258,0.00004241569,0.00004911042,0.0001155755,0.00006277978],"domain_scores_gemma":[0.9943494,0.0009584233,0.003533617,0.0002055635,0.0006100807,0.000342781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001404947,0.00003129299,0.9921693,0.00001452084,0.00003216626,0.0001246805,0.0001046232,0.0003663893,0.001670099,0.0002113793,0.0002833911,0.00485165],"study_design_scores_gemma":[0.000001818966,0.00007213603,0.9975035,0.000004641473,0.00001866789,0.00006090943,0.0001864136,0.001036873,0.000595931,0.0001294407,0.0003843131,0.000005298793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985286,0.0000632689,0.0001026588,0.00006380636,0.000005976476,0.000002452336,0.0002395156,0.000005797844,0.0009878528],"genre_scores_gemma":[0.9991123,0.00006164444,0.00006240619,0.00001285859,0.00001669569,0.000001582698,0.0005080277,0.000001519545,0.0002229862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005169021,"threshold_uncertainty_score":0.01027787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2533166331","doi":"10.1080/13504851.2016.1240330","title":"Semiparametric versus parametric hedonic wine price models: an empirical investigation","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Brock University","funders":"","keywords":"Econometrics; Wine; Semiparametric model; Semiparametric regression; Parametric statistics; Economics; Hedonic index; Quality (philosophy); Parametric model; Nonparametric statistics; Statistics; Mathematics; Price index","authors":[{"name":"Lester M.K. Kwong","is_ca":true},{"name":"Tomson Ogwang","is_ca":true},{"name":"Ling Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05119769044306954,"gpt":0.2335399491355152,"spread":0.1823422586924457,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01164812,0.0007323338,0.001148261,0.001173542,0.0006883321,0.003557237,0.002688319,0.001239254,0.004348255],"category_scores_gemma":[0.04901354,0.0004269197,0.00153475,0.002154063,0.001652686,0.003341589,0.001933645,0.002021997,0.0005413897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943661,"about_ca_system_score_gemma":0.001682196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0323428,"about_ca_topic_score_gemma":0.03126692,"domain_scores_codex":[0.9953414,0.002276223,0.0002692241,0.000857056,0.0008506203,0.0004053992],"domain_scores_gemma":[0.931299,0.05585396,0.005665759,0.004457329,0.002125697,0.0005982388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002509966,0.001525648,0.384141,0.001026875,0.001831002,0.001524649,0.003746137,0.2752895,0.002851935,0.1622659,0.005118092,0.1581692],"study_design_scores_gemma":[0.0001656824,0.0006578595,0.1524686,0.0001322437,0.0004425512,0.0006102092,0.002892146,0.7742885,0.001028697,0.06387888,0.003233827,0.0002007302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92063,0.0006632752,0.07164711,0.0004794637,0.000019085,0.0001419178,0.0008359403,0.0002013358,0.005381814],"genre_scores_gemma":[0.9935442,0.0001471483,0.004945914,0.00005108379,0.00001383766,0.0000299511,0.0006510693,0.00001844769,0.0005983181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0323428,"threshold_uncertainty_score":0.06430906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991857329","doi":"10.1080/13504851.2014.914137","title":"Evidence for the seasonality of European equity fund performance","year":2014,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","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":"Equity (law); Seasonality; Quarter (Canadian coin); Fund of funds; Economics; Closed-end fund; Investment (military); Stock (firearms); Private equity fund; Business; Monetary economics; Finance; Financial economics; Initial public offering; Geography","authors":[{"name":"Carlos F. Alves","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1401259632788863,"gpt":0.2563589844931113,"spread":0.116233021214225,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002190196,0.0001442187,0.0002473295,0.001191811,0.0001058405,0.0008481357,0.0002177887,0.0003724731,0.0015532],"category_scores_gemma":[0.008138778,0.0001072345,0.0002616863,0.001230068,0.0002655641,0.0005502688,0.0005680394,0.0002514909,0.0002485889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385171,"about_ca_system_score_gemma":0.0001559892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002108163,"about_ca_topic_score_gemma":0.002433077,"domain_scores_codex":[0.9993235,0.0001456669,0.0001041614,0.0001885009,0.0001241307,0.0001141624],"domain_scores_gemma":[0.9913071,0.002850172,0.00402743,0.0007529942,0.0007070164,0.0003552624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002817342,0.00003746238,0.9758077,0.00004814771,0.0001707581,0.0001540111,0.0004673379,0.0007215652,0.001603028,0.000754027,0.0006407731,0.01931352],"study_design_scores_gemma":[0.000002381357,0.00002449854,0.9984809,0.000009631307,0.00001991921,0.00007093603,0.00008023722,0.0003742844,0.0001710883,0.0001783296,0.000584878,0.000002978679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996115,0.0007078621,0.0004976747,0.000128394,0.00001555176,0.000003779936,0.000368672,0.00001387258,0.002149234],"genre_scores_gemma":[0.9991751,0.0001324862,0.0001006865,0.00001729721,0.00001970748,0.000001710916,0.0003477563,0.000004782515,0.0002004946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002190196,"threshold_uncertainty_score":0.01158303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006482206","doi":"10.1080/13504850600706420","title":"Stability of central bank preferences, macroeconomic shocks, and efficiency of the monetary policy: empirical evidence for Canada","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Inflation (cosmology); Acknowledgement; Price of stability; Monetary policy; Index (typography); Core (optical fiber); Monetary economics; Stability (learning theory); Aggregate (composite); Core inflation; Price index; Consumer price index (South Africa); Inflation targeting; Macroeconomics; Econometrics","authors":[{"name":"Gabriel Rodrı́guez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1029431038211271,"gpt":0.2326852427936544,"spread":0.1297421389725273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001499583,0.0003246961,0.0007372065,0.001409842,0.002827619,0.001867927,0.00111079,0.0004700553,0.005163746],"category_scores_gemma":[0.007192861,0.0002424651,0.0005537479,0.004146962,0.001382762,0.0003725478,0.0007551847,0.0007818148,0.0003159769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02058961,"about_ca_system_score_gemma":0.02131627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964192,"about_ca_topic_score_gemma":0.9966424,"domain_scores_codex":[0.9991732,0.00009821655,0.00004408111,0.0001379936,0.0002440225,0.000302389],"domain_scores_gemma":[0.9920096,0.001786631,0.001181835,0.0004630984,0.0035982,0.0009605569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000826637,0.0001908767,0.9624611,0.0001002345,0.0003672639,0.0002911077,0.002430042,0.002793283,0.0005041662,0.003782606,0.006921456,0.01933112],"study_design_scores_gemma":[0.00006630733,0.00003882081,0.9891182,0.00004568994,0.0001474611,0.00004521517,0.002497243,0.004669617,0.0003068755,0.0003894222,0.002635613,0.00003941868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945375,0.0005144888,0.0001735056,0.000384303,0.000006560098,0.00001921878,0.001682375,0.00001405631,0.002667956],"genre_scores_gemma":[0.9967059,0.0002964638,0.0001937721,0.00005159826,0.000003439479,0.000005147242,0.001383318,0.000008700791,0.001351602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02058961,"threshold_uncertainty_score":0.1493887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102836146","doi":"10.1080/13504850210147162","title":"Broken odds and the favourite-longshot bias in parimutuel betting: a direct test","year":2003,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Columbia College; University of Calgary","funders":"University of Hong Kong; Meiji University","keywords":"Odds; Econometrics; Test (biology); Favourite; Economics; Market efficiency; Statistics; Financial economics; Mathematics; Logistic regression; Political science; Biology","authors":[{"name":"W. David Walls","is_ca":true},{"name":"Kelly Busche","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02571557620734487,"gpt":0.1828952005508634,"spread":0.1571796243435185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05049323,0.0008740074,0.001343906,0.002822712,0.001023874,0.003264215,0.002915049,0.001881947,0.01947518],"category_scores_gemma":[0.4661861,0.0004727575,0.001534011,0.002289073,0.007939801,0.005897571,0.003930597,0.003698986,0.001516866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006574575,"about_ca_system_score_gemma":0.0005212114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248359,"about_ca_topic_score_gemma":0.0005693986,"domain_scores_codex":[0.9382115,0.0364268,0.003122425,0.007075008,0.01367548,0.001488786],"domain_scores_gemma":[0.2992328,0.6260789,0.03590048,0.02805061,0.007941672,0.002795544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01235974,0.000671645,0.8010947,0.0005891191,0.002430448,0.0009388007,0.003003931,0.004058484,0.002121487,0.05485465,0.00253446,0.1153426],"study_design_scores_gemma":[0.001172181,0.007131315,0.76092,0.0004608793,0.001772952,0.003241121,0.005519153,0.04386589,0.01145808,0.1538528,0.01029236,0.0003132743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131491,0.0009893482,0.06211421,0.001621263,0.0002984903,0.000184758,0.0007542638,0.0001559169,0.02073256],"genre_scores_gemma":[0.9936672,0.00007088771,0.00486905,0.0001960955,0.0001173267,0.00005040497,0.0001528114,0.00002433326,0.0008519593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05049323,"threshold_uncertainty_score":0.2670369,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125548018","doi":"10.1080/13504851.2016.1164813","title":"Are gold bugs coherent?","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity College","funders":"","keywords":"Stock (firearms); Economics; Econometrics; Wavelet; Cointegration; Short run; Stock price; Monetary economics; Gold standard (test); Financial economics; Computer science; Statistics; Mathematics; Materials science; Series (stratigraphy); Metallurgy; Geology","authors":[{"name":"Brian M. Lucey","is_ca":true},{"name":"Fergal A. O’Connor","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01916810714338849,"gpt":0.1812483570991217,"spread":0.1620802499557333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001964126,0.0003625778,0.0007561356,0.001640356,0.000810324,0.003015054,0.0007141223,0.001982387,0.006973441],"category_scores_gemma":[0.02704718,0.0005821583,0.000565093,0.00137514,0.001908815,0.005116413,0.001683575,0.001460636,0.0008055825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008017302,"about_ca_system_score_gemma":0.0006373021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003873981,"about_ca_topic_score_gemma":0.003476689,"domain_scores_codex":[0.9991347,0.0001654054,0.00005771457,0.0002353487,0.0002474495,0.00015928],"domain_scores_gemma":[0.9940123,0.002763171,0.001758551,0.0005963063,0.0006022003,0.0002674096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008228531,0.0002302541,0.2360132,0.0005414711,0.0005958109,0.00339017,0.005119659,0.02521628,0.01506928,0.4919877,0.02305933,0.197954],"study_design_scores_gemma":[0.0001874902,0.0002940041,0.09838658,0.0002361202,0.0002582246,0.00188504,0.00417845,0.2173963,0.004799778,0.6481114,0.02411357,0.0001530727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026597,0.001937537,0.06083795,0.009690924,0.000352432,0.00003961755,0.0003769892,0.0003502849,0.02375466],"genre_scores_gemma":[0.9923059,0.0002820897,0.004593417,0.0004315484,0.0001019132,0.00000995657,0.000139459,0.00008296039,0.002052777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006973441,"threshold_uncertainty_score":0.02332848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2159504266","doi":"10.1080/13504850500425261","title":"Convergence of life expectancy in the European Union: a Markov approach","year":2007,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Global Health Care Issues","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Convergence (economics); Life expectancy; European union; Member states; Pace; Markov chain; Markov process; Econometrics; European integration; Economics; International economics; Geography; Economic growth; Mathematics; Statistics; Sociology; Demography; Population","authors":[{"name":"Michael Happich","is_ca":true},{"name":"Thomas von Lengerke","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03355474833759912,"gpt":0.3207642021340293,"spread":0.2872094537964301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007897075,0.0005186487,0.001217846,0.003710995,0.0006694337,0.002181171,0.001483266,0.001353762,0.006001109],"category_scores_gemma":[0.02680665,0.0005311741,0.001871821,0.00192795,0.001401718,0.002935583,0.001957424,0.001687765,0.0005877796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870872,"about_ca_system_score_gemma":0.001052802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01837214,"about_ca_topic_score_gemma":0.009907003,"domain_scores_codex":[0.9977949,0.001348308,0.0000988938,0.0003307383,0.0001812426,0.0002459529],"domain_scores_gemma":[0.9841456,0.01325383,0.001157084,0.0004279558,0.0006212681,0.0003942377],"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":[0.0003419892,0.0001297494,0.06131345,0.0001506395,0.0003926728,0.000370993,0.001399172,0.6348217,0.0003649535,0.2672727,0.002152576,0.03128955],"study_design_scores_gemma":[0.0000212917,0.00008222963,0.01263248,0.00009442763,0.00005225841,0.00008950875,0.0003786029,0.8614593,0.00008477161,0.1233825,0.001680386,0.00004226054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6079726,0.002478068,0.3669687,0.002660742,0.0001105107,0.0002577817,0.001575691,0.0002254099,0.01775054],"genre_scores_gemma":[0.9759108,0.001479926,0.0166224,0.0001326626,0.00006631627,0.0002304314,0.001171777,0.000049968,0.004335724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01837214,"threshold_uncertainty_score":0.04176426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321105142","doi":"10.1080/13504851.2023.2176435","title":"Predicting money laundering sanctions using machine learning algorithms and artificial neural networks","year":2023,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Roads University","funders":"","keywords":"Sanctions; Money laundering; Artificial neural network; Transparency (behavior); Machine learning; Artificial intelligence; Support vector machine; Logistic regression; Algorithm; Computer science; Financial crisis; Economics; Finance; Law; Computer security; Political science; Macroeconomics","authors":[{"name":"Mark Lokanan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03480438124735694,"gpt":0.2534119171452875,"spread":0.2186075358979306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003761307,0.0008605538,0.0006419962,0.003139918,0.0004392074,0.001745907,0.0005782471,0.001053363,0.0008461714],"category_scores_gemma":[0.01484763,0.0002914173,0.0004244843,0.001934094,0.0004336933,0.001368465,0.0006781307,0.001232012,0.0002274299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489751,"about_ca_system_score_gemma":0.0009936269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103674,"about_ca_topic_score_gemma":0.01007719,"domain_scores_codex":[0.9986094,0.0007203975,0.0001327858,0.0001561165,0.0002325295,0.0001488531],"domain_scores_gemma":[0.9871677,0.009531735,0.00175999,0.0002612927,0.001038773,0.0002405907],"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":[0.0001656316,0.0003162415,0.08617483,0.00006272254,0.0001165036,0.00009928639,0.0000660049,0.8692432,0.0002722392,0.001914134,0.0008622453,0.04070697],"study_design_scores_gemma":[0.000005155822,0.00002907024,0.005495501,0.00001161592,0.00000476656,0.00000859295,0.00002596158,0.9932846,0.0002053706,0.0008369855,0.00008615676,0.000006209981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443824,0.0005960346,0.04972392,0.0008366044,0.00007018789,0.0001036669,0.0003917,0.0002220254,0.003673404],"genre_scores_gemma":[0.9851163,0.0001791772,0.01350212,0.00005148117,0.00004721048,0.00004480246,0.0003962122,0.000006620392,0.0006561315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01103674,"threshold_uncertainty_score":0.021945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390953893","doi":"10.1080/13504851.2024.2305671","title":"Government expenditure and entrepreneurial activity: considering the types of entrepreneurial motivations","year":2024,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Entrepreneurship; Government (linguistics); Government expenditure; Government spending; Economics; Business; Public economics; Economic growth; Economic system; Market economy; Public finance; Macroeconomics; Finance","authors":[{"name":"Wondwossen Kiflu Woldemichael","is_ca":true},{"name":"Young-Hwan Kim","is_ca":false},{"name":"Wonjoon Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01175035012047827,"gpt":0.1906293075993346,"spread":0.1788789574788563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003357131,0.0001308948,0.0001767563,0.001007749,0.0002829409,0.0009596687,0.0001505403,0.00023118,0.003058789],"category_scores_gemma":[0.002131612,0.0000588222,0.0002960322,0.001478584,0.0003360587,0.0004754186,0.0007783496,0.0003397676,0.0002277832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435436,"about_ca_system_score_gemma":0.0002844385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302171,"about_ca_topic_score_gemma":0.007441702,"domain_scores_codex":[0.9997563,0.00006894413,0.00002014395,0.00002486858,0.00003666655,0.0000930653],"domain_scores_gemma":[0.9970759,0.0008055118,0.001244514,0.0001237901,0.0001895439,0.0005607505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000490634,0.00006118373,0.9929104,0.00001841521,0.00005085805,0.00009099091,0.0001954948,0.0002900551,0.0002021987,0.001087219,0.0001104874,0.004933623],"study_design_scores_gemma":[0.000001198927,0.00001931674,0.998031,0.00001301818,0.00001872551,0.00006396308,0.0006448572,0.0002317886,0.00006760604,0.0002007019,0.0007055416,0.000002296654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948834,0.0001411773,0.0000994588,0.0001099468,0.000004453521,0.000003242819,0.0001460846,0.000001621715,0.004610676],"genre_scores_gemma":[0.9990568,0.00009823621,0.00007077821,0.000009925943,0.000005749672,0.000002683195,0.0001670318,0.000001013836,0.0005879111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003302171,"threshold_uncertainty_score":0.01023269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991768046","doi":"10.1080/1350485032000129584","title":"Time-of-month anomaly: reality or mirage?","year":2003,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Anomaly (physics); Econometrics; Economics; Physics","authors":[{"name":"Charles Bram Cadsby","is_ca":true},{"name":"Violet Torbey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0550673235567679,"gpt":0.2091336403958652,"spread":0.1540663168390973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01183461,0.0003881122,0.001563169,0.002260551,0.001009594,0.002709782,0.001354487,0.001512049,0.005374959],"category_scores_gemma":[0.0706432,0.0003169744,0.0008596649,0.004067125,0.003893519,0.004493168,0.002238328,0.002815008,0.001182159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005606766,"about_ca_system_score_gemma":0.0003753561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217867,"about_ca_topic_score_gemma":0.001723223,"domain_scores_codex":[0.9932581,0.00191887,0.0009200337,0.002084089,0.001369577,0.000449274],"domain_scores_gemma":[0.9309679,0.03374432,0.02168865,0.009540881,0.002850194,0.001208091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001389575,0.0001526796,0.8307622,0.0004684426,0.0009760458,0.001350967,0.005862274,0.001168818,0.003121581,0.04592863,0.01464051,0.09417827],"study_design_scores_gemma":[0.0001069617,0.0005931109,0.8725267,0.0003081121,0.0006911188,0.003103098,0.007246121,0.009120373,0.002787545,0.05311542,0.0502022,0.0001991867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773695,0.006219609,0.05444677,0.03467442,0.002605541,0.0001230198,0.002847178,0.0009792417,0.02073468],"genre_scores_gemma":[0.9937025,0.0004561929,0.002069589,0.001405981,0.0009832822,0.00002435353,0.000589037,0.0001332365,0.0006357376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01183461,"threshold_uncertainty_score":0.06258816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308145647","doi":"10.1080/13504851.2022.2138254","title":"Measuring the persistence degree of shocks to the US tourism markets: new evidence for COVID-19 pandemic period","year":2022,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Tourism; Pandemic; Coronavirus disease 2019 (COVID-19); Economics; Econometrics; Unit root; Indirect Inference; Degree (music); Estimator; Financial economics; Monetary economics; Geography; Statistics; Mathematics; Medicine; Internal medicine","authors":[{"name":"Yi‐Ting Peng","is_ca":false},{"name":"Tsangyao Chang","is_ca":false},{"name":"Omid Ranjbar","is_ca":false},{"name":"Fangjhy Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2078314074717207,"gpt":0.32937676406712,"spread":0.1215453565953993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009617144,0.0001320837,0.0002260687,0.0009627765,0.0003331393,0.001019407,0.0003059069,0.0003452379,0.002075769],"category_scores_gemma":[0.007703786,0.00009555395,0.0003434724,0.001432783,0.0007448473,0.0008503717,0.001031697,0.0008894315,0.0001201714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004795842,"about_ca_system_score_gemma":0.0006470401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04991326,"about_ca_topic_score_gemma":0.04164995,"domain_scores_codex":[0.9997055,0.00004935467,0.00002887797,0.00008498714,0.00006487444,0.0000664445],"domain_scores_gemma":[0.9926639,0.002415539,0.002599316,0.0006862891,0.0009304377,0.0007044754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000127167,0.00003747673,0.9889788,0.00002403929,0.000103179,0.00008264809,0.0004272797,0.0007691864,0.0005517079,0.0007879462,0.0006789,0.007431834],"study_design_scores_gemma":[0.000004530463,0.00003296882,0.9952973,0.00001339032,0.00003930993,0.00003651642,0.001024594,0.002297551,0.0001882448,0.0004427788,0.00061184,0.00001094373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975304,0.0001815135,0.0003426833,0.0002827213,0.000007530151,0.000005527417,0.0005552741,0.00000549152,0.001088934],"genre_scores_gemma":[0.9992915,0.00007701406,0.00006537632,0.00003087225,0.000008456311,0.000001802162,0.0004282433,0.00000184178,0.0000947976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04991326,"threshold_uncertainty_score":0.09924549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014341357","doi":"10.1080/17446540802298043","title":"Profit warnings: will openness be rewarded?","year":2009,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Shareholder; Information asymmetry; Business; Profit (economics); Openness to experience; Monetary economics; Empirical evidence; Accounting; Economics; Industrial organization; Microeconomics; Finance; Corporate governance","authors":[{"name":"Matthew Church","is_ca":true},{"name":"Han Donker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01139621860114675,"gpt":0.1759109411490471,"spread":0.1645147225479004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004099485,0.0001296384,0.0002815601,0.00113048,0.0002770685,0.002130543,0.0003693306,0.001008458,0.002357675],"category_scores_gemma":[0.06823737,0.0001155611,0.0001652956,0.001176329,0.001252531,0.002452813,0.001105748,0.001006858,0.0002587459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000509065,"about_ca_system_score_gemma":0.0003336791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000773735,"about_ca_topic_score_gemma":0.0007483592,"domain_scores_codex":[0.9978693,0.000793818,0.0002333331,0.0001851116,0.0005907577,0.0003276486],"domain_scores_gemma":[0.8062345,0.0983386,0.0861725,0.003590281,0.00287622,0.002787877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005389418,0.0001720293,0.9634522,0.00007208631,0.00006220787,0.0002917197,0.00131335,0.0007900366,0.0008249543,0.001717926,0.0005857662,0.0301788],"study_design_scores_gemma":[0.00002316272,0.0001866151,0.9909799,0.00004101138,0.00004873818,0.000223634,0.00170897,0.001900178,0.0009107536,0.002594189,0.001366297,0.00001655831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955426,0.0002933312,0.0002181662,0.001274312,0.000007660285,0.000008811134,0.0001178755,0.000006614363,0.002530615],"genre_scores_gemma":[0.9997082,0.00006043469,0.00003298801,0.00004665356,0.00002055003,0.000001417787,0.00003443563,9.786017e-7,0.00009428989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004099485,"threshold_uncertainty_score":0.02168041,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074836187","doi":"10.1080/1350485042000244486","title":"Analysis of gender-based family income inequality in Canada","year":2004,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"University of Cincinnati","keywords":"Bootstrapping (finance); Inequality; Inference; Immigration; Earnings; Econometrics; Economics; Economic inequality; Demographic economics; Statistical inference; Statistics; Mathematics; Political science; Computer science; Accounting","authors":[{"name":"Jeffrey A. Mills","is_ca":false},{"name":"Sourushe Zandvakili","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03152079279613103,"gpt":0.2551489948577527,"spread":0.2236282020616217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009254906,0.0002340457,0.0004105774,0.002764763,0.002975296,0.001047933,0.0007565053,0.000216004,0.002487553],"category_scores_gemma":[0.004545583,0.0001108018,0.0004841692,0.006801387,0.0006872237,0.000293046,0.0009273721,0.0005196708,0.00009064114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03670137,"about_ca_system_score_gemma":0.0298054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956695,"about_ca_topic_score_gemma":0.9970541,"domain_scores_codex":[0.9991224,0.0001013728,0.00002133528,0.00009877307,0.0002637196,0.0003924332],"domain_scores_gemma":[0.9977967,0.0003385606,0.0002102134,0.00007110381,0.001266188,0.0003173444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004243463,0.00004821428,0.9171689,0.0000761854,0.0001733424,0.0003407071,0.0035076,0.00336851,0.0004788229,0.01184344,0.005841207,0.05672874],"study_design_scores_gemma":[0.000004926577,0.00001330148,0.9910067,0.0000301676,0.00002941812,0.00004148208,0.002561972,0.003321564,0.000146314,0.0005111569,0.002319814,0.00001326732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886616,0.0008249223,0.0005398889,0.0005033755,0.00001017794,0.00002129439,0.00365675,0.00001321272,0.005768775],"genre_scores_gemma":[0.997166,0.0002960306,0.0003292193,0.00002762923,0.000002086442,0.00000866258,0.0009681984,0.00000413512,0.001198136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670137,"threshold_uncertainty_score":0.2662883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1969178222","doi":"10.1080/1350485032000095375","title":"Option straddle trading: Financial performance and economic significance of direct profit forecast and conventional strategies","year":2003,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Straddle; Trading strategy; Profit (economics); Volatility (finance); Economics; Transaction cost; Pairs trade; Algorithmic trading; Financial economics; Econometrics; Alternative trading system; Finance; Microeconomics","authors":[{"name":"An Sing Chen","is_ca":false},{"name":"Mark T. Leung","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01696883448223129,"gpt":0.1846873816010016,"spread":0.1677185471187704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002403785,0.0003964939,0.0004806444,0.000603048,0.0001852519,0.001519902,0.0005339485,0.000594184,0.001643434],"category_scores_gemma":[0.01722467,0.000102935,0.0002207842,0.0006699906,0.0005572591,0.003433351,0.0006298327,0.000587613,0.0001652106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005517901,"about_ca_system_score_gemma":0.0003919691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148168,"about_ca_topic_score_gemma":0.001171632,"domain_scores_codex":[0.999035,0.0002866532,0.00005941136,0.0001310589,0.0004059696,0.00008193046],"domain_scores_gemma":[0.9845911,0.01183637,0.001757541,0.0008636652,0.0006359316,0.0003153547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.009227377,0.001960229,0.2948762,0.0005423151,0.0006811533,0.001476293,0.0008920062,0.3383693,0.02419477,0.04090925,0.0009992201,0.285872],"study_design_scores_gemma":[0.0001692645,0.003572238,0.1539547,0.00003735378,0.0001407782,0.0004171319,0.0004913603,0.8137447,0.01073244,0.01568062,0.000950558,0.0001088133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941868,0.0002638276,0.003288498,0.0000572418,0.000009127532,0.00001489064,0.00003247201,0.000016903,0.002130324],"genre_scores_gemma":[0.9986293,0.00006987849,0.001020228,0.000006141422,0.000007263086,0.000004045659,0.00003427783,0.000002199272,0.0002266846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002403785,"threshold_uncertainty_score":0.01271254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970628735","doi":"10.1080/13504850802631814","title":"Benford's Law and psychological barriers in certain eBay auctions","year":2009,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Benford's law; Common value auction; Football; Empirical research; Test (biology); Economics; Law; Business; Microeconomics; Mathematics; Political science; Statistics","authors":[{"name":"Ocean Fan Lu","is_ca":true},{"name":"David E. A. Giles","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02936449930293124,"gpt":0.2652121393117145,"spread":0.2358476400087832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008785946,0.0003737895,0.001194133,0.001697895,0.001434757,0.003666289,0.001269572,0.00195153,0.006043954],"category_scores_gemma":[0.1149821,0.0003882645,0.0009001383,0.002000927,0.007139969,0.005214129,0.001905367,0.003507248,0.0003460678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511513,"about_ca_system_score_gemma":0.001175772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001964041,"about_ca_topic_score_gemma":0.0009007663,"domain_scores_codex":[0.9930681,0.00285372,0.0004925628,0.000783699,0.001869876,0.00093207],"domain_scores_gemma":[0.8637564,0.1003942,0.0225773,0.00715952,0.003162442,0.002950144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001443455,0.001082375,0.147319,0.0002080144,0.0002078384,0.0007693808,0.003547908,0.01060651,0.002448446,0.7790046,0.002472727,0.05088979],"study_design_scores_gemma":[0.0002942531,0.0004940969,0.1436272,0.0001256645,0.0001117187,0.001157345,0.002194589,0.07097971,0.001309718,0.7767868,0.002785147,0.0001336769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453573,0.0003521527,0.0298833,0.001570016,0.00003073688,0.00009605566,0.00006214756,0.00004852397,0.02259981],"genre_scores_gemma":[0.9973708,0.00009417959,0.001769358,0.00009392485,0.00002463043,0.00004189357,0.00002457222,0.000006090031,0.0005745482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008785946,"threshold_uncertainty_score":0.0464651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390950203","doi":"10.1080/13504851.2024.2306178","title":"The impact of adopting an energy information system on household energy consumption: a dynamic difference-in-differences approach","year":2024,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Electricity; Incentive; Energy consumption; Difference in differences; Government (linguistics); Economics; Quarter (Canadian coin); Energy (signal processing); Public economics; Environmental economics; Rebound effect (conservation); Business; Demographic economics; Econometrics; Microeconomics; Engineering; Statistics","authors":[{"name":"Jiyong Park","is_ca":false},{"name":"Hyung Bin Moon","is_ca":false},{"name":"Taeyoung Jin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01104322989792661,"gpt":0.210139860744399,"spread":0.1990966308464724,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008517704,0.0006486332,0.001191498,0.001294462,0.0007997364,0.00154104,0.002087052,0.001538165,0.007326586],"category_scores_gemma":[0.01436688,0.0005218362,0.003306075,0.001311801,0.001307897,0.001444527,0.002039337,0.003188813,0.0003942406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878957,"about_ca_system_score_gemma":0.001612604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510855,"about_ca_topic_score_gemma":0.008254046,"domain_scores_codex":[0.9891281,0.007164095,0.0004036134,0.001394287,0.0007997366,0.001110293],"domain_scores_gemma":[0.9800588,0.01615811,0.001552744,0.000942876,0.0006073657,0.000680076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009257996,0.008545317,0.7239094,0.001244792,0.0108338,0.001488805,0.003126209,0.1101386,0.006381307,0.05358744,0.004159593,0.06732678],"study_design_scores_gemma":[0.00116567,0.01106633,0.4912257,0.0001492077,0.003437457,0.0002765898,0.005854297,0.4513384,0.005381779,0.01980662,0.009974613,0.0003234085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752417,0.0002462989,0.01830398,0.0009490646,0.0002713436,0.0003378472,0.001401067,0.00006481965,0.003183814],"genre_scores_gemma":[0.9920855,0.0001146573,0.004780009,0.0002029823,0.00005320977,0.0003091532,0.0006625541,0.00001143007,0.001780361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01510855,"threshold_uncertainty_score":0.04504645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121823404","doi":"10.1080/13504851003636164","title":"Filter rules: follow the trend or take the contrarian approach?","year":2010,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Contrarian; Robustness (evolution); Trading strategy; Transaction cost; Filter (signal processing); Econometrics; Database transaction; Economics; Computer science; Financial economics; Microeconomics","authors":[{"name":"James Kozyra","is_ca":true},{"name":"Camillo Lento","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02662366879520517,"gpt":0.1792425834336484,"spread":0.1526189146384433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006438288,0.0004668169,0.001260468,0.0006950463,0.0003922789,0.002634516,0.001223836,0.002018569,0.003448584],"category_scores_gemma":[0.0330736,0.0002553974,0.0006629021,0.0008358446,0.0008689471,0.00468925,0.0004299569,0.001298033,0.001224611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005177208,"about_ca_system_score_gemma":0.0007777149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929943,"about_ca_topic_score_gemma":0.002092177,"domain_scores_codex":[0.9975903,0.0005950782,0.0002040807,0.0005427092,0.0008715258,0.0001962369],"domain_scores_gemma":[0.9858001,0.008699198,0.001768574,0.001934159,0.001600073,0.0001977834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001477594,0.0004770095,0.04598346,0.0003563616,0.001354148,0.0004922623,0.0003986211,0.09951723,0.005877794,0.1846851,0.008535143,0.6508453],"study_design_scores_gemma":[0.0003133397,0.001789748,0.02314494,0.000141004,0.0005995778,0.001429502,0.0003919647,0.7340797,0.008388906,0.2156248,0.01390819,0.0001884196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2743022,0.002242825,0.6959479,0.002540624,0.0005209486,0.0001925125,0.000254571,0.0009299401,0.02306843],"genre_scores_gemma":[0.8964929,0.001018033,0.09400873,0.0009894363,0.0003118563,0.00008841052,0.0002432172,0.0001874956,0.00665998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006438288,"threshold_uncertainty_score":0.03404933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983348607","doi":"10.1080/13504850601018122","title":"Entry barriers and markup ratios: evidence from OECD countries","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Barriers to entry; Markup language; Profitability index; Natural experiment; International economics; Monetary economics; Economics; Business; Industrial organization; Market structure; Finance; Computer science","authors":[{"name":"Haibin Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02134966092977512,"gpt":0.1783706782330165,"spread":0.1570210173032414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393065,0.0002732242,0.0004209611,0.002553318,0.0003392633,0.001819581,0.0002744924,0.0002877254,0.002179367],"category_scores_gemma":[0.007357515,0.0001385649,0.0004523768,0.00397227,0.0007203796,0.0006738437,0.001062992,0.0004744914,0.0003869357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004665442,"about_ca_system_score_gemma":0.0003973138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105582,"about_ca_topic_score_gemma":0.009535879,"domain_scores_codex":[0.9991585,0.0001663427,0.0000991121,0.0001197306,0.0002880924,0.0001681865],"domain_scores_gemma":[0.9812266,0.004163107,0.0119831,0.0006452005,0.001285202,0.0006968642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003484678,0.00006512996,0.9773194,0.0003168586,0.0002945507,0.0004463887,0.0007197505,0.001226123,0.0005052109,0.002223556,0.001618151,0.0149163],"study_design_scores_gemma":[0.00001645393,0.00006670276,0.994275,0.00006321527,0.00008368913,0.0001432362,0.0005050303,0.0001682872,0.0005834333,0.0002871712,0.003791294,0.00001644549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779702,0.003238938,0.0003814289,0.0002130061,0.00001412144,0.00001907761,0.002790862,0.00004102229,0.01533129],"genre_scores_gemma":[0.994985,0.001620097,0.0001369759,0.00006621963,0.00002055944,0.00001099325,0.002628108,0.00001033236,0.0005217416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105582,"threshold_uncertainty_score":0.02099347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057754632","doi":"10.1080/13504850500372992","title":"Finite sample effects of additive outliers on the Granger-causality test with an application to money growth and inflation in Peru","year":2005,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Statistics Canada","funders":"University of Ottawa","keywords":"Outlier; Granger causality; Econometrics; Statistic; Causality (physics); Inflation (cosmology); Sample (material); Economics; Test statistic; Mathematics; Statistics; Statistical hypothesis testing; Thermodynamics; Physics","authors":[{"name":"Thierno Balde","is_ca":true},{"name":"Gabriel Rodrı́guez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01776641896898361,"gpt":0.1923470809679988,"spread":0.1745806619990152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02918303,0.0005253853,0.001421109,0.001246771,0.001042876,0.001654344,0.00190965,0.001447729,0.002115784],"category_scores_gemma":[0.23542,0.0005450678,0.001074881,0.001820518,0.003143764,0.002573403,0.002613649,0.003472151,0.0001452002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249956,"about_ca_system_score_gemma":0.001192098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007334334,"about_ca_topic_score_gemma":0.007315181,"domain_scores_codex":[0.987751,0.01050486,0.0002856936,0.0005954662,0.0005546175,0.0003083234],"domain_scores_gemma":[0.4138839,0.5662552,0.006164517,0.008589697,0.004235507,0.0008712156],"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":[0.0006221422,0.0001665098,0.03638775,0.0001639896,0.0003173397,0.0008858123,0.0009770325,0.8385876,0.001229481,0.09423427,0.00123228,0.02519589],"study_design_scores_gemma":[0.00009634277,0.0001346168,0.002670195,0.00003592189,0.00008469485,0.000132657,0.0001383198,0.9431111,0.001037742,0.05215118,0.0003545698,0.00005262038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6831442,0.00072676,0.3101111,0.001407728,0.00007394703,0.00009702549,0.0002906162,0.000414993,0.003733488],"genre_scores_gemma":[0.9586784,0.0001576959,0.04040099,0.00008709515,0.00002640325,0.00008563356,0.0001247516,0.00006571497,0.0003732355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02918303,"threshold_uncertainty_score":0.1543365,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2470604143","doi":"10.1080/13504851.2016.1184217","title":"Exchange rates, central bank news and the zero lower bound*","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Balsillie School of International Affairs; Wilfrid Laurier University; Canadian International Grains Institute","funders":"","keywords":"Zero lower bound; Economics; Monetary economics; Monetary policy; Liberian dollar; Exchange rate; Proxy (statistics); Central bank; Constraint (computer-aided design); Foreign-exchange reserves; Us dollar; Finance","authors":[{"name":"Doménico Lombardi","is_ca":true},{"name":"Pierre L. Siklos","is_ca":true},{"name":"Samantha St. Amand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02823308302368784,"gpt":0.185795302518733,"spread":0.1575622194950452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003185851,0.0005198771,0.0007987444,0.001402667,0.0007380061,0.007906061,0.0006065837,0.001221527,0.007058831],"category_scores_gemma":[0.023165,0.0004053135,0.0003617633,0.001915698,0.002108563,0.004256072,0.001266757,0.002488075,0.0007144283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214964,"about_ca_system_score_gemma":0.0007846035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003663287,"about_ca_topic_score_gemma":0.001731628,"domain_scores_codex":[0.9988777,0.0005343886,0.00007848703,0.0001352494,0.00018256,0.000191593],"domain_scores_gemma":[0.9665099,0.02212799,0.008832272,0.001050712,0.0007765842,0.0007025941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009197073,0.0001456091,0.03216052,0.0002650334,0.000175658,0.0007537928,0.0007022454,0.04512127,0.001063558,0.8689477,0.01020252,0.03954235],"study_design_scores_gemma":[0.0002171218,0.0002734876,0.04129171,0.0002784955,0.0001461618,0.000400597,0.000937041,0.08753774,0.001319788,0.8480281,0.01943094,0.0001388924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677045,0.01800736,0.05088022,0.02155683,0.0007181295,0.00003869106,0.00114871,0.0002455459,0.1396999],"genre_scores_gemma":[0.9935747,0.001629012,0.0008608964,0.0002234285,0.0001675355,0.00001249391,0.000175732,0.00002710428,0.003329261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007906061,"threshold_uncertainty_score":0.02361411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2070469950","doi":"10.1080/13504851.2012.761333","title":"Ignorance is bliss? Uncertainty about product valuation may benefit consumers","year":2013,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Carleton University; Innovation, Science and Economic Development Canada","funders":"","keywords":"BLISS; Ignorance; Valuation (finance); Economics; Product (mathematics); Actuarial science; Financial economics; Econometrics; Computer science; Mathematics; Philosophy; Epistemology; Accounting","authors":[{"name":"Tarcisio da Graça","is_ca":true},{"name":"Robert T. Masson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07724903502273203,"gpt":0.3145709575288273,"spread":0.2373219225060953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01037565,0.0003864563,0.0009721103,0.0009487397,0.00102383,0.004195882,0.0007203045,0.003392018,0.005666089],"category_scores_gemma":[0.04872542,0.0003162204,0.0005251702,0.0008157942,0.006606006,0.009691363,0.001446626,0.003789574,0.0006787656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942329,"about_ca_system_score_gemma":0.001024521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157716,"about_ca_topic_score_gemma":0.002046445,"domain_scores_codex":[0.9965169,0.001681723,0.0001596684,0.00047087,0.0009022001,0.0002685653],"domain_scores_gemma":[0.9643559,0.02455976,0.005692912,0.002289772,0.002339031,0.000762683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001610458,0.0003924882,0.04685258,0.001288555,0.0008278543,0.002451691,0.006617749,0.009679313,0.003057034,0.5729463,0.04125844,0.3130175],"study_design_scores_gemma":[0.00005182326,0.0001458735,0.008137485,0.0003894026,0.000130577,0.0006295557,0.002087015,0.004213913,0.000753588,0.9607397,0.02265938,0.00006162869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3005904,0.03398941,0.04661496,0.499223,0.001584383,0.00007990236,0.0005258882,0.0001138712,0.1172783],"genre_scores_gemma":[0.9704067,0.007379015,0.002640525,0.01506621,0.001168241,0.00001864839,0.00007400763,0.00002052842,0.003226036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01037565,"threshold_uncertainty_score":0.05487233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009744842","doi":"10.1080/13504851.2011.603686","title":"Competition law, networks and innovation","year":2011,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Competition (biology); Business; Industrial organization; R&D intensity; Manufacturing; Economics; Marketing; Management","authors":[{"name":"Fatih Cemil Özbuğday","is_ca":false},{"name":"Erik Brouwer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02973037918676917,"gpt":0.1765493299697435,"spread":0.1468189507829744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008789243,0.00008930411,0.0001910008,0.001542834,0.0004773856,0.001673186,0.0002433187,0.0006051224,0.006235421],"category_scores_gemma":[0.007573018,0.00007616397,0.0001706648,0.001825824,0.001582683,0.001622672,0.0006785965,0.0004559118,0.0003905862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140606,"about_ca_system_score_gemma":0.001011202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01531101,"about_ca_topic_score_gemma":0.01570719,"domain_scores_codex":[0.9993181,0.0002010234,0.00003811767,0.0001003275,0.0002017829,0.0001406327],"domain_scores_gemma":[0.9891902,0.005241053,0.003827486,0.0002080146,0.0006447716,0.0008884068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001289252,0.0003588447,0.5620157,0.0002386445,0.0001952492,0.0007492234,0.001723977,0.03615241,0.00119245,0.2935121,0.007320432,0.09641199],"study_design_scores_gemma":[0.00007245653,0.0002438243,0.7214366,0.000192786,0.00007570127,0.0005365488,0.003340748,0.03513272,0.0004934775,0.1975766,0.04083073,0.0000678886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113191,0.004596664,0.005660192,0.00474398,0.00003306634,0.00003546137,0.0004234136,0.00002696092,0.07316114],"genre_scores_gemma":[0.9978184,0.0004338118,0.0001731736,0.00006052483,0.00002237903,0.000006707098,0.00007223764,0.000002135559,0.001410771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01531101,"threshold_uncertainty_score":0.03044379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2065263764","doi":"10.1080/13504850701719694","title":"Using dynamic factor models to forecast Canadian inflation: the role of US variables","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Dynamic factor; Inflation (cosmology); Econometrics; Factor analysis; Economics; Factor (programming language); Computer science","authors":[{"name":"Marc‐André Gosselin","is_ca":true},{"name":"Greg Tkacz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07759029189682966,"gpt":0.1951713689931249,"spread":0.1175810770962952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002900419,0.0009213946,0.0005668878,0.001496173,0.001229442,0.002711195,0.0007663607,0.0005044165,0.001677366],"category_scores_gemma":[0.01359048,0.0002813653,0.0006689576,0.002996617,0.0003720039,0.001216524,0.0006228327,0.001028679,0.0002703881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009130511,"about_ca_system_score_gemma":0.01015694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9376962,"about_ca_topic_score_gemma":0.8976416,"domain_scores_codex":[0.999293,0.0002002712,0.00002859357,0.0001055345,0.000239137,0.0001334709],"domain_scores_gemma":[0.997323,0.001128383,0.0001715951,0.0000995691,0.001159764,0.0001177287],"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":[0.0004723679,0.00007398949,0.06989201,0.0001548726,0.0003149585,0.0001226373,0.0003140727,0.7896042,0.0005113891,0.02600144,0.01019771,0.1023404],"study_design_scores_gemma":[0.00004757598,0.00005001511,0.0171099,0.00005498641,0.0001366154,0.00003719417,0.0002467269,0.9671831,0.0006386756,0.007599231,0.006833349,0.00006273935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425505,0.008561182,0.08552393,0.006959664,0.0006774684,0.0001240577,0.003828496,0.0008159938,0.05095881],"genre_scores_gemma":[0.9782295,0.002546729,0.01336576,0.000121301,0.00005980531,0.00001785975,0.001782969,0.00005113913,0.003824887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06230378,"threshold_uncertainty_score":0.1253414,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}