{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"d9987db28f45","filters":{"venue":"Ekonomski horizonti"}},"results":[{"id":"W4375833894","doi":"10.5937/ekonhor2301003a","title":"Employment effects of technological innovation: Evidence from Nigeria's economic sectors","year":2023,"lang":"en","type":"article","venue":"Ekonomski horizonti","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nexus (standard); Unemployment; Economics; Distributed lag; Operationalization; Order (exchange); Technological change; Tertiary sector of the economy; Economic sector; Agriculture; Quarter (Canadian coin); Labour economics; Economic growth; Macroeconomics; Economy; Geography; Engineering","authors":[{"name":"Afolabi Adeyemi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03879496167307347,"gpt":0.2446580082338036,"spread":0.2058630465607301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009526432,0.0001394482,0.0002456963,0.001131457,0.0005762068,0.0009675246,0.0002044701,0.0004046927,0.001547862],"category_scores_gemma":[0.003008262,0.000119944,0.0002595264,0.001908486,0.000603815,0.0006450643,0.0009305896,0.0004633638,0.0002438598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005527897,"about_ca_system_score_gemma":0.0007825278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253349,"about_ca_topic_score_gemma":0.02035935,"domain_scores_codex":[0.9996389,0.0001045812,0.00003621867,0.00004947183,0.00006415528,0.0001067024],"domain_scores_gemma":[0.9959199,0.00217252,0.001202496,0.0001259497,0.0003787043,0.0002002392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003587914,0.0002103926,0.9542069,0.0003263787,0.00008088769,0.0008186026,0.00225931,0.001602913,0.0005637135,0.003250015,0.0007111871,0.03561087],"study_design_scores_gemma":[0.00001013125,0.00009887061,0.9891411,0.0001993812,0.00005684873,0.0001220251,0.004861431,0.0009370894,0.0004145229,0.0006366595,0.00351364,0.000008373329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936723,0.001934892,0.0001057652,0.0003331095,0.00001039927,0.000005350481,0.0002223688,0.000001439737,0.003714383],"genre_scores_gemma":[0.997863,0.001572592,0.00003821569,0.00002325995,0.00001048299,0.000002661782,0.0001307763,6.305721e-7,0.0003584678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253349,"threshold_uncertainty_score":0.02492106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7124539712","doi":"10.5937/ekonhor2502135g","title":"Energy-related uncertainty and stock market volatility: Evidence from the wealthiest economies in the world through the GARCH-MIDAS approach","year":2025,"lang":"en","type":"article","venue":"Ekonomski horizonti","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Volatility (finance); Stock market; Stock (firearms); China; Stock market index; Emerging markets; Developed country","authors":[{"name":"Selim GÜNGÖR","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02953330956488543,"gpt":0.245908484291526,"spread":0.2163751747266406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004345794,0.0002179725,0.0002463543,0.001553225,0.0001975916,0.0007726829,0.000122935,0.0001744019,0.0006268125],"category_scores_gemma":[0.001755336,0.0001035882,0.000394636,0.002066387,0.0002513166,0.0007195751,0.000473124,0.0002613891,0.00009333701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898276,"about_ca_system_score_gemma":0.0001956894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009279088,"about_ca_topic_score_gemma":0.01189325,"domain_scores_codex":[0.9998825,0.00002111979,0.0000138783,0.00001752873,0.00004052844,0.00002453754],"domain_scores_gemma":[0.9987031,0.0003580038,0.0006734324,0.00006994267,0.0001115869,0.0000839798],"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":[0.00006388377,0.00002662143,0.9880559,0.00002476936,0.0001913335,0.0002179569,0.0002399031,0.001347133,0.0004530585,0.000602468,0.000134124,0.00864275],"study_design_scores_gemma":[0.000002030466,0.00003854148,0.9965823,0.00001660501,0.00005347951,0.0001040445,0.0003612012,0.001720926,0.0002811671,0.0003334872,0.0004984484,0.000007783059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998092,0.0004601585,0.0001668527,0.00005826894,0.000002302439,0.000002281626,0.0002220738,0.000002561111,0.0009935182],"genre_scores_gemma":[0.9991137,0.0004456509,0.00007106864,0.000007342763,0.00000661679,0.000001011461,0.0002787725,8.617013e-7,0.00007495836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009279088,"threshold_uncertainty_score":0.0184502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802528598","doi":"10.5937/ekonhor1801091z","title":"Contemporary issues in economics, business and management: EBM 2018, November 09-10, 2018, Faculty of Economics, University of Kragujevac, Kragujevac, the Republic of Serbia","year":2018,"lang":"en","type":"article","venue":"Ekonomski horizonti","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Business management; Business; Business administration","authors":[{"name":"Dejana Zlatanović","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02085979060317795,"gpt":0.2015510395010479,"spread":0.1806912488978699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003204786,0.0004270239,0.0006202438,0.001439377,0.001457958,0.003802413,0.0006968005,0.001979127,0.04423822],"category_scores_gemma":[0.002945418,0.0002038514,0.000193011,0.002215349,0.0009984814,0.002721637,0.001722962,0.002539265,0.008153942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002852959,"about_ca_system_score_gemma":0.002165878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903687,"about_ca_topic_score_gemma":0.006389169,"domain_scores_codex":[0.9986154,0.0002967257,0.00008440462,0.0001847836,0.0006117831,0.0002069122],"domain_scores_gemma":[0.998626,0.0004446804,0.0001548404,0.00007173808,0.0003939703,0.0003087534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000236973,0.0001494808,0.003038843,0.0007350662,0.00001758138,0.0003878117,0.001884072,0.0005948707,0.001224062,0.01906714,0.7633803,0.2092839],"study_design_scores_gemma":[0.000007072358,0.00002944046,0.006509164,0.0003974698,0.000004388806,0.0001337956,0.0006985948,0.0002559741,0.0006348746,0.003184492,0.9881369,0.000007713813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.04958692,0.3490831,0.008539043,0.3044578,0.06547432,0.0002650428,0.003991737,0.0005635038,0.2180385],"genre_scores_gemma":[0.2049869,0.1125653,0.00665279,0.006052088,0.02470825,0.000187769,0.003077516,0.0006505953,0.6411187],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04423822,"threshold_uncertainty_score":0.1479915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}