{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":14,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":14,"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":"5d68bc234e52","filters":{"venue":"International Journal of Business"}},"results":[{"id":"W242012872","doi":"","title":"Entrepreneurial Beliefs and Intentions: A Cross-Cultural Study of University Students in Seven Countries","year":2011,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université Laval","funders":"","keywords":"Entrepreneurship; Psychology; Sociology; Marketing; Social psychology; Demographic economics; Public relations; Management; Political science; Business; Economics; Law","authors":[{"name":"Yvon Gasse","is_ca":true},{"name":"Maripier Tremblay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02851901254665132,"gpt":0.2816750262861125,"spread":0.2531560137394611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003003739,0.0004018218,0.0007640142,0.001638712,0.002801415,0.003537461,0.0006577141,0.0009681286,0.001958332],"category_scores_gemma":[0.003069462,0.000695644,0.000644828,0.001451476,0.001636478,0.00123394,0.002150736,0.001678745,0.0004836429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014632,"about_ca_system_score_gemma":0.001089398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01339909,"about_ca_topic_score_gemma":0.0199632,"domain_scores_codex":[0.9988098,0.0003608485,0.0000982672,0.0001301146,0.0002646543,0.000336346],"domain_scores_gemma":[0.996644,0.0008370988,0.0008670424,0.0001449095,0.0005909145,0.000916002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009004414,0.0009585428,0.8738273,0.00007261601,0.0000629887,0.0003945179,0.1165812,0.00005097994,0.0004009113,0.000233461,0.0003288642,0.006998538],"study_design_scores_gemma":[0.00001173342,0.0004625446,0.7196246,0.0001096419,0.0000305421,0.0002988546,0.2771378,0.0002331252,0.0001972658,0.00009509666,0.001764709,0.00003409258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995944,0.00004575651,0.00001850822,0.00002555797,0.000003969562,0.00001075148,0.00001832186,3.055771e-7,0.0002825785],"genre_scores_gemma":[0.9992067,0.0001199884,0.00006558721,0.00007057879,0.0000038931,0.00002929456,0.00004931631,0.00000137506,0.0004532484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01339909,"threshold_uncertainty_score":0.0266422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122009353","doi":"","title":"Financial Integration of Stock Markets in the Gulf: A Multivariate Cointegration Analysis","year":2003,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":27,"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; Granger causality; Stock (firearms); Financial economics; Stock market; Econometrics; Error correction model; Multivariate statistics; Stock market index; Financial market; Share price; Johansen test; Monetary economics; Stock exchange; Finance; Geography; Mathematics; Statistics","authors":[{"name":"Aqil Mohd. Hadi Hassan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01584584501903839,"gpt":0.2525707650893705,"spread":0.2367249200703322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010667,0.0003656749,0.0003960421,0.002136678,0.0003081318,0.001230607,0.0002989706,0.0003824029,0.002748188],"category_scores_gemma":[0.003776542,0.0001779624,0.0006069804,0.002291238,0.0004662797,0.001089205,0.0007614916,0.000614718,0.0001811617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913597,"about_ca_system_score_gemma":0.0006469955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399358,"about_ca_topic_score_gemma":0.006040155,"domain_scores_codex":[0.9996519,0.0001288791,0.00003020024,0.00005505533,0.00008052399,0.0000534875],"domain_scores_gemma":[0.998666,0.0006162183,0.000354601,0.0000759403,0.0001897681,0.00009742125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002215859,0.0002561855,0.7494309,0.0001004444,0.00053785,0.001062163,0.001434841,0.11781,0.002649694,0.04050861,0.0020414,0.08394635],"study_design_scores_gemma":[0.00002963186,0.0001262196,0.3104807,0.00009241108,0.000196402,0.0001486945,0.0007680519,0.6698092,0.0009939818,0.01503877,0.002282666,0.00003337228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979246,0.0004043704,0.01762786,0.000379434,0.00001566169,0.00002389965,0.0001874295,0.00004516517,0.002070142],"genre_scores_gemma":[0.9972088,0.000215966,0.002020621,0.00001100433,0.00001441763,0.000008104321,0.0001626769,0.00000343779,0.0003550572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01399358,"threshold_uncertainty_score":0.02782428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165517408","doi":"","title":"An Empirical Examination of International Diversification Benefits in Central European Emerging Equity Markets","year":2008,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Financial Risk and Volatility Modeling","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":"Equity (law); Emerging markets; Equity capital markets; Diversification (marketing strategy); Equity risk; Cointegration; Business; Economics; Financial economics; Private equity fund; Monetary economics; International economics; Private equity; Finance; Political science; Econometrics","authors":[{"name":"Kais Fadhlaoui","is_ca":false},{"name":"Makram Bellalah","is_ca":false},{"name":"Armand Dherry","is_ca":false},{"name":"Mhamed Zouaouii","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08670034870659155,"gpt":0.2944308445949542,"spread":0.2077304958883626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001259227,0.0001562582,0.0003442409,0.0009146308,0.0002005027,0.001078769,0.0002045639,0.0003131029,0.001676503],"category_scores_gemma":[0.004795101,0.00008248095,0.0002445029,0.001116417,0.0004462478,0.0009536726,0.0007051236,0.0004410496,0.00008610068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003157856,"about_ca_system_score_gemma":0.0004125192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318664,"about_ca_topic_score_gemma":0.002807539,"domain_scores_codex":[0.9997939,0.00005818308,0.00001386805,0.00003027912,0.00004869103,0.00005509056],"domain_scores_gemma":[0.9957041,0.001789943,0.001470879,0.0001624773,0.0004935922,0.0003790497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005970107,0.0002234198,0.9263546,0.0001097533,0.000288089,0.0009907885,0.001095549,0.007946755,0.003845021,0.01935271,0.0008268019,0.03836946],"study_design_scores_gemma":[0.00002472088,0.00009543824,0.9855168,0.00003696322,0.000072561,0.0002150037,0.001041507,0.00726337,0.0008239135,0.003490891,0.001408094,0.00001061981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978504,0.0003186529,0.0001925492,0.00007497825,0.000001795956,0.000003068759,0.00003394972,0.000002769993,0.001521848],"genre_scores_gemma":[0.9996837,0.0001004735,0.00004688864,0.000007555098,0.000004021009,0.000001040077,0.00005951778,5.494372e-7,0.00009621576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002318664,"threshold_uncertainty_score":0.006659508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W325785929","doi":"","title":"An Investigation of the Day-of-the-Week Effect in Korea: Has the Anomalous Effect Vanished in the 1990's?","year":2002,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Names of the days of the week; Autoregressive conditional heteroskedasticity; Stock exchange; Stock (firearms); Economics; Equity (law); Stock market index; Stock market; Econometrics; Financial economics; Geography; Volatility (finance); Finance","authors":[{"name":"Ravindra Kamath","is_ca":false},{"name":"Jirayuth Chusanachoti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03490119096034975,"gpt":0.2278227542346098,"spread":0.19292156327426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001240388,0.0002267072,0.0003654658,0.0009450471,0.0002906487,0.0008307913,0.0003443834,0.0004561844,0.001410898],"category_scores_gemma":[0.003452268,0.0001583142,0.0003076257,0.001293626,0.0003534002,0.0006875615,0.0005542751,0.0005523484,0.0003046513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000527721,"about_ca_system_score_gemma":0.0004170346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008833516,"about_ca_topic_score_gemma":0.01271476,"domain_scores_codex":[0.9996841,0.00004123578,0.00003254598,0.00007725644,0.00009878995,0.00006614329],"domain_scores_gemma":[0.9951801,0.0009222629,0.002376453,0.0003293646,0.0008096962,0.0003820992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000232371,0.0001005241,0.9818533,0.00005492354,0.00007844374,0.0004140199,0.0004472024,0.0005461837,0.002009018,0.0004907884,0.001074375,0.01269887],"study_design_scores_gemma":[0.000004792083,0.0001040438,0.995342,0.0000153435,0.00004735863,0.000105127,0.0005227956,0.001494723,0.000525412,0.0001145011,0.001714083,0.00000983025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972956,0.0004079495,0.0003840667,0.0002362196,0.00003038825,0.00000833899,0.0003111809,0.00001341577,0.001312902],"genre_scores_gemma":[0.9989018,0.0001881424,0.0001082561,0.00006257278,0.00003877481,0.000002807233,0.0003880059,0.000008695728,0.0003007873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008833516,"threshold_uncertainty_score":0.01756424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W217722763","doi":"","title":"Further Evidence on the Responses of Stock Prices in GCC Countries to Oil Price Shocks","year":2011,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Oil price; Emerging markets; Equity (law); Monetary economics; Financial economics; Stock market; Econometrics; Macroeconomics","authors":[{"name":"Mohamed El","is_ca":false},{"name":"Hedi Arouri","is_ca":false},{"name":"Mondher Bellalah","is_ca":false},{"name":"Duc Khuong Nguyen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07964489605087799,"gpt":0.2728980663862267,"spread":0.1932531703353487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984114,0.00033209,0.0002306544,0.00189965,0.0002563775,0.00118684,0.0002438533,0.0006057012,0.009490517],"category_scores_gemma":[0.003152515,0.0001165261,0.0004048408,0.003817195,0.0003023092,0.000525186,0.0005396915,0.0004447141,0.0006673628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005349393,"about_ca_system_score_gemma":0.000367516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03976475,"about_ca_topic_score_gemma":0.02601065,"domain_scores_codex":[0.9997575,0.00004358802,0.00003657153,0.00004425486,0.00006565177,0.00005247006],"domain_scores_gemma":[0.9951733,0.001318131,0.002301539,0.0001973058,0.0007696782,0.0002401582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001312201,0.00002938158,0.9785582,0.0001613822,0.0001631218,0.0004602147,0.000563862,0.001130675,0.0009309497,0.001096376,0.002251264,0.01452323],"study_design_scores_gemma":[0.000003098673,0.0000298869,0.9959062,0.00004754717,0.00003069378,0.00005297127,0.0007130062,0.0006998859,0.0002015448,0.0002340224,0.002074103,0.000007072785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876559,0.001705762,0.0002132419,0.0008575637,0.00003888823,0.00001148323,0.003744218,0.00002882397,0.005744212],"genre_scores_gemma":[0.9949662,0.001038035,0.0001213549,0.0001171527,0.0000497248,0.000005632594,0.002379371,0.00000475194,0.001317763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03976475,"threshold_uncertainty_score":0.07906663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W340442660","doi":"","title":"A Comparative Analysis of Transplants and Industrial Location of Japanese and Korean Automotive Industries in Europe","year":2008,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Automotive industry; Restructuring; Context (archaeology); Foreign direct investment; Business; Tariff; Industrial organization; Production (economics); Domestic market; Economy; Economics; International trade; Engineering; Finance","authors":[{"name":"Jae Hoon Hyun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07987497983261778,"gpt":0.3023487020308193,"spread":0.2224737221982016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004649575,0.0001357381,0.0001269914,0.001349737,0.0004076345,0.001494516,0.0002075165,0.0002043444,0.002655482],"category_scores_gemma":[0.0009288321,0.0000810122,0.0002002589,0.001964679,0.0004943435,0.0008441331,0.001371328,0.0001847604,0.0002127204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006871115,"about_ca_system_score_gemma":0.000376906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008265525,"about_ca_topic_score_gemma":0.01445517,"domain_scores_codex":[0.9997296,0.00005344367,0.00002342402,0.000046474,0.00004423454,0.0001027743],"domain_scores_gemma":[0.9986446,0.0001727591,0.0006743139,0.00003800558,0.0002432361,0.0002271172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002399053,0.00004460672,0.9619805,0.0001182529,0.00006328501,0.001325011,0.01133468,0.0004871521,0.002656332,0.002363848,0.0003924555,0.01899415],"study_design_scores_gemma":[0.000003698576,0.00007948181,0.956521,0.00003578193,0.00002173687,0.0002481686,0.03846297,0.0001657714,0.0004393903,0.00009274915,0.003920557,0.000008712356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979191,0.0002001593,0.00003900639,0.00002109811,0.000001430758,0.000001395919,0.00003574235,8.494983e-7,0.001781223],"genre_scores_gemma":[0.9994196,0.0001308181,0.00001567593,0.000006547127,0.000001174135,7.164475e-7,0.00005311634,6.049766e-7,0.0003718396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008265525,"threshold_uncertainty_score":0.01643485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W285159233","doi":"","title":"Dynamic Interrelations Among Major World Stock Markets: A Neural Network Analysis","year":2001,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Artificial neural network; Multilayer perceptron; Stock market; Econometrics; Stock market index; Perceptron; Stock (firearms); Computer science; Ordinary least squares; Artificial intelligence; Machine learning; Financial economics; Economics; Data mining; Engineering; Geography","authors":[{"name":"Yochanan Shachmurove","is_ca":false},{"name":"Dorota Witkowska","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0605028909529018,"gpt":0.3919508038090246,"spread":0.3314479128561229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001401019,0.0004583494,0.0003161592,0.002176854,0.0003972444,0.001343834,0.000531122,0.000631079,0.0022018],"category_scores_gemma":[0.00514951,0.0001978032,0.0006412538,0.002263991,0.0004012086,0.001314213,0.0006194837,0.0006785296,0.0001742989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009114445,"about_ca_system_score_gemma":0.0004691923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176597,"about_ca_topic_score_gemma":0.009496234,"domain_scores_codex":[0.9996942,0.0001041075,0.00002389032,0.00006984875,0.00006680498,0.0000411513],"domain_scores_gemma":[0.9984977,0.0009852365,0.0002294118,0.00004037462,0.0001829979,0.00006437244],"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":[0.0003233881,0.0002370264,0.3081456,0.0001573245,0.0006525311,0.0009403619,0.0003004604,0.6033808,0.001670919,0.0174281,0.002316624,0.06444684],"study_design_scores_gemma":[0.00000647125,0.00002196721,0.02586724,0.00001715546,0.00003914644,0.00004598817,0.00007918091,0.9696881,0.0001896353,0.003705015,0.0003314407,0.000008737017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620251,0.001096228,0.03091357,0.001143255,0.0000402005,0.00004332429,0.0006367253,0.00006122074,0.004040379],"genre_scores_gemma":[0.9949107,0.0002677266,0.003923749,0.00002553758,0.00001778163,0.00001282758,0.0002576908,0.000003394139,0.0005807262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0176597,"threshold_uncertainty_score":0.03511381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1505425075","doi":"","title":"The Relative Performance of Small Cap Firms and Default Risk across the Business Cycle: International Evidence","year":2012,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"Business cycle; Recession; Leverage (statistics); Monetary economics; Shareholder; Productivity; Debt; Economics; Corporate governance; Financial crisis; Business; Finance; Macroeconomics","authors":[{"name":"Lorne N. Switzer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02389988999366899,"gpt":0.2542671032717211,"spread":0.2303672132780521,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001828187,0.0002386338,0.0004706822,0.002212399,0.0003579296,0.001744047,0.0005745008,0.0008381967,0.00387968],"category_scores_gemma":[0.009749685,0.0001501456,0.0004259039,0.003451173,0.001056363,0.001110476,0.0009174962,0.0008431218,0.0005410472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003943752,"about_ca_system_score_gemma":0.0002287124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006941718,"about_ca_topic_score_gemma":0.004938173,"domain_scores_codex":[0.9993293,0.0001353238,0.0001045837,0.0001747424,0.0001303878,0.0001255429],"domain_scores_gemma":[0.9641067,0.008687276,0.02214725,0.001289329,0.001609224,0.002160211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000302082,0.00006014593,0.9839425,0.0000900396,0.0001450671,0.0001576173,0.0001645956,0.0001993395,0.00007860084,0.0005296035,0.0008778041,0.01345255],"study_design_scores_gemma":[0.00001585077,0.0001151497,0.9961408,0.0001250725,0.0001344365,0.0002321401,0.0004710419,0.0005714735,0.0001451772,0.0007149812,0.001323024,0.00001094424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710771,0.01828355,0.0004008698,0.0009909397,0.00005018455,0.00002011889,0.001933158,0.00002115301,0.007222949],"genre_scores_gemma":[0.9963195,0.002450452,0.00006558994,0.00008255769,0.00009741951,0.000002954497,0.0007135855,0.000002473771,0.0002654716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006941718,"threshold_uncertainty_score":0.01380259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1543743267","doi":"","title":"Calendar Corrected Chaotic Forecast of Financial Time Series","year":2006,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Econometrics; Economics; Efficient-market hypothesis; Stock market; Weekend effect; Stock (firearms); Financial market; Financial economics; Finance; History","authors":[{"name":"Alexandros Leontitsis","is_ca":false},{"name":"Costas Siriopoulos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01100051190572828,"gpt":0.1863648499079926,"spread":0.1753643380022643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398377,0.0003135737,0.0003452415,0.001013576,0.0001546337,0.0006530209,0.0003447419,0.0003032662,0.0007958524],"category_scores_gemma":[0.006746217,0.0001461411,0.0003453028,0.0008364621,0.0001830315,0.0004363077,0.0003139524,0.0005103914,0.000254353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808357,"about_ca_system_score_gemma":0.0005771253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006528945,"about_ca_topic_score_gemma":0.004963747,"domain_scores_codex":[0.9996738,0.00008862726,0.00002736216,0.00008145128,0.00009240357,0.00003627113],"domain_scores_gemma":[0.9984456,0.0006104546,0.0003161786,0.0002421806,0.0003304791,0.00005520779],"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":[0.0003214364,0.00007574328,0.1366536,0.00007425802,0.0001536744,0.0002383923,0.0001168304,0.6659762,0.007231432,0.004606815,0.00248435,0.1820673],"study_design_scores_gemma":[0.000008539223,0.00002093007,0.02377829,0.000006636555,0.00001225761,0.00003018728,0.000009915284,0.9722187,0.002371068,0.0008960845,0.0006338377,0.00001352629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7703837,0.000215887,0.2256174,0.0002429351,0.000163931,0.00002949527,0.0007635042,0.0006553089,0.001927839],"genre_scores_gemma":[0.9753906,0.00005846025,0.02351176,0.00001419805,0.00003198046,0.000008639918,0.0004665218,0.00002835225,0.0004894663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006528945,"threshold_uncertainty_score":0.01298189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1492419306","doi":"","title":"The SLEPT Aspects of the Free Trade Area of the Americas","year":2009,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Diverse Education and Engineering Focus","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"International free trade agreement; Summit; Customs union; Economic integration; International trade; Single market; Politics; Economics; European union; Rules of origin; Free trade; Negotiation; Market access; Democracy; International economics; Political science; Law","authors":[{"name":"Jaime Ortiz","is_ca":false},{"name":"María Tajes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01867732511390401,"gpt":0.2831210685766909,"spread":0.2644437434627869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001331321,0.0001955676,0.0001579013,0.001443195,0.003778358,0.008791765,0.0003790648,0.001896926,0.01305762],"category_scores_gemma":[0.002393247,0.0001078666,0.0002184019,0.00174499,0.007396104,0.003736078,0.002654413,0.002683057,0.0003966639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005590983,"about_ca_system_score_gemma":0.002626745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01485922,"about_ca_topic_score_gemma":0.01908672,"domain_scores_codex":[0.9988744,0.0003439127,0.0000275495,0.0001174047,0.0003599807,0.0002768745],"domain_scores_gemma":[0.9983857,0.0005968427,0.0002496843,0.0001205098,0.0003444352,0.0003028849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000233679,0.00002014568,0.003839496,0.00003294714,0.000006648757,0.0001868736,0.002331688,0.0004816509,0.0001599856,0.9627221,0.00971715,0.02047792],"study_design_scores_gemma":[0.00001335917,0.00003486403,0.02346866,0.0004304216,0.00001512537,0.0003398456,0.008904401,0.0011713,0.0002125161,0.4981219,0.4672642,0.00002341357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1751672,0.009068309,0.00359415,0.05986527,0.0004520302,0.00002624991,0.000200565,0.0000336334,0.7515926],"genre_scores_gemma":[0.9705231,0.002189073,0.0005717868,0.002110089,0.0003101068,0.0000195227,0.00005321598,0.00001412837,0.02420902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01485922,"threshold_uncertainty_score":0.0436821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1505197174","doi":"","title":"The Long-Run Operating Performance of Canadian Convertible Debt Issuers: Trends and Explanatory Factors","year":2012,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Convertible bond; Issuer; Initial public offering; Convertible arbitrage; Business; Bond; Economics; Debt; Context (archaeology); Event study; Capital structure; Bond credit rating; Monetary economics; Financial economics; Accounting; Actuarial science; Finance; Credit risk","authors":[{"name":"Khalid El Badraoui","is_ca":false},{"name":"Jean-Jacques Lilti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02074111810174357,"gpt":0.2214598638176339,"spread":0.2007187457158903,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007360188,0.0002694429,0.0001699202,0.002307781,0.0004927485,0.001289674,0.0007871591,0.0003753473,0.003775548],"category_scores_gemma":[0.002396382,0.0001042297,0.000401875,0.00365685,0.0003886079,0.0004131024,0.000434258,0.0006337949,0.0005758527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004666963,"about_ca_system_score_gemma":0.004305686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8441005,"about_ca_topic_score_gemma":0.8631882,"domain_scores_codex":[0.9995641,0.00001773265,0.00002569978,0.00006493156,0.0001695129,0.0001579239],"domain_scores_gemma":[0.9943902,0.000447945,0.002206353,0.0001702544,0.00193057,0.0008546689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007291842,0.0000302576,0.9914259,0.00001600644,0.00003052756,0.00007755947,0.000268064,0.0002124403,0.0001946484,0.0001229635,0.0008405122,0.006708194],"study_design_scores_gemma":[6.999269e-7,0.00001202908,0.9989277,0.000004118983,0.000006444921,0.00001381571,0.0001568107,0.0002212172,0.00004894873,0.000008163461,0.0005964425,0.000003572431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991556,0.00057382,0.00008562774,0.0001423302,0.000006047099,0.00001057108,0.005200968,0.00001653671,0.002408058],"genre_scores_gemma":[0.993374,0.0002812803,0.0000653668,0.00001240847,0.00001107431,0.000004199918,0.004047899,0.000003566325,0.002200028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1558995,"threshold_uncertainty_score":0.3136352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1515609355","doi":"","title":"Canadian Acquisitions of U.S. Divested Assets","year":2002,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Restructuring; Divestment; Business; Liberian dollar; Monetary economics; Economics; Industrial organization; Accounting; Finance","authors":[{"name":"Peter J. DaDalt","is_ca":false},{"name":"Ginette V. McManus","is_ca":false},{"name":"James E. Owers","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02002346078981153,"gpt":0.2106852922310938,"spread":0.1906618314412823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004806799,0.0002390574,0.0002408892,0.001850219,0.001553267,0.001707336,0.000402303,0.0002711329,0.003555679],"category_scores_gemma":[0.00393369,0.0001179057,0.0002199465,0.002736361,0.0006038397,0.0005656729,0.001182057,0.0004766612,0.0002617046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01170682,"about_ca_system_score_gemma":0.008432336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9420972,"about_ca_topic_score_gemma":0.9752298,"domain_scores_codex":[0.9991071,0.00003375964,0.00002238277,0.00006791663,0.0004710685,0.0002978174],"domain_scores_gemma":[0.9959692,0.0002253353,0.001095488,0.0001134438,0.001767131,0.0008293519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001891161,0.00008799412,0.963627,0.00004659132,0.00006530991,0.0005303692,0.001404218,0.0008599785,0.001050602,0.001455139,0.003987439,0.02669622],"study_design_scores_gemma":[0.000004877659,0.00003365357,0.9934217,0.00001416195,0.00001476113,0.0001302966,0.002531685,0.0005002953,0.0003081892,0.00005733762,0.002971821,0.00001115694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894603,0.000258064,0.00003120692,0.000148639,0.000004349977,0.00001162174,0.001153025,0.000005879779,0.008926943],"genre_scores_gemma":[0.9963698,0.0002352623,0.00004573993,0.00002756421,0.000003048001,0.00000180288,0.001071899,0.000001573649,0.002243228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05790275,"threshold_uncertainty_score":0.1164874,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2548383892","doi":"","title":"Solar Power Generation and Risk Transfer Systems","year":2015,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Electricity generation; Renewable energy; Tariff; Grid parity; Electricity; Solar power; Electric power system; Feed-in tariff; Environmental economics; Stand-alone power system; Distributed generation; Environmental science; Economics; Power (physics); Energy policy; Engineering; Electrical engineering; International economics; Physics","authors":[{"name":"Mahito Okura","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01339155109200781,"gpt":0.2048826523514934,"spread":0.1914911012594856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009936695,0.0004083229,0.0004157886,0.0005937882,0.0003744874,0.001973108,0.000806424,0.001298162,0.008432196],"category_scores_gemma":[0.004274085,0.0002399594,0.0005461635,0.0009340236,0.001036373,0.00190433,0.000896788,0.001360394,0.0003342311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827927,"about_ca_system_score_gemma":0.0005464642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681992,"about_ca_topic_score_gemma":0.001780151,"domain_scores_codex":[0.9992806,0.0002777876,0.00002958457,0.0001387258,0.0001498462,0.0001234285],"domain_scores_gemma":[0.9974336,0.001567236,0.0005627939,0.0001196934,0.0001992552,0.0001174464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008878863,0.00007838118,0.008106451,0.0001197882,0.0000763935,0.0005155482,0.0001188442,0.5515437,0.0007914188,0.4162603,0.003208771,0.01909156],"study_design_scores_gemma":[0.00004616163,0.0001007444,0.006168975,0.00005177752,0.00003728467,0.0003024717,0.0002524691,0.6574408,0.0004344434,0.3274224,0.007702022,0.00004052979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6172327,0.005302466,0.2481862,0.008051278,0.0003560296,0.0001505976,0.001318982,0.0002669464,0.1191348],"genre_scores_gemma":[0.9954378,0.0004765481,0.0009547019,0.00005873003,0.00004542748,0.00001251734,0.0000623471,0.000006562092,0.002945316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008432196,"threshold_uncertainty_score":0.02820855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W310835182","doi":"","title":"Optimal Reserve Requirements and Price Stability: Taiwan's Case Study","year":2000,"lang":"en","type":"article","venue":"International Journal of Business","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Reserve requirement; Economics; Asset (computer security); Order (exchange); Federal Reserve Economic Data; Excess reserves; Cash; Monetary policy; Shock (circulatory); Monetary economics; Quantitative easing; Finance; Central bank; Computer science","authors":[{"name":"Chau-Jung Kuo","is_ca":false},{"name":"So‐De Shyu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04882240272818134,"gpt":0.2833111354420554,"spread":0.2344887327138741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007693172,0.0004311403,0.0004840197,0.0005582013,0.0004355102,0.001177184,0.0008155991,0.00147457,0.002058409],"category_scores_gemma":[0.002605959,0.0002366195,0.0007363864,0.0006838636,0.0007653517,0.0007300942,0.0008168463,0.0009339627,0.0001403034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402102,"about_ca_system_score_gemma":0.0007379259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02782892,"about_ca_topic_score_gemma":0.01144332,"domain_scores_codex":[0.9997835,0.00009233767,0.0000157136,0.00003271709,0.00002900058,0.00004677398],"domain_scores_gemma":[0.9988651,0.0007788892,0.0001590491,0.00005125413,0.00008886647,0.00005683463],"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":[0.0001994034,0.0001973242,0.01667117,0.00009013404,0.00006488428,0.005070606,0.0002312037,0.9286937,0.001282652,0.03656921,0.001771659,0.009158022],"study_design_scores_gemma":[0.00007556119,0.0001809679,0.004750556,0.00001433129,0.00003344426,0.0002642944,0.0002547519,0.9842509,0.0005862384,0.008322121,0.001233593,0.00003320815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679757,0.0005941762,0.01801171,0.0009978326,0.00001734938,0.00005486316,0.0003472148,0.00008934927,0.01191183],"genre_scores_gemma":[0.997564,0.0001520839,0.001220026,0.00001473831,0.000006657961,0.00001432024,0.00006261161,0.000004293208,0.0009613255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02782892,"threshold_uncertainty_score":0.05533391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}