{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"791e99a04e70","filters":{"venue":"Industrija"}},"results":[{"id":"W2797195899","doi":"10.5937/industrija46-15594","title":"The level of production specialization: Serbia and the new EU member states","year":2018,"lang":"en","type":"article","venue":"Industrija","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geomechanica (Canada)","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Per capita; Diversification (marketing strategy); Production (economics); Member states; Index (typography); Manufacturing; Business; Economic geography; Revealed comparative advantage; Czech; Manufacturing sector; Serbian; Industrial production; Economics; International trade; International economics; European union; Comparative advantage; Macroeconomics; Demography","authors":[{"name":"Vladimir Mičić","is_ca":false},{"name":"Ljubodrag Savić","is_ca":false},{"name":"Dragana Radičić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1825491049472257,"gpt":0.3634760013252699,"spread":0.1809268963780442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009268748,0.000178789,0.0002178845,0.002019743,0.0002557495,0.001129396,0.0001528389,0.0001508066,0.0007057243],"category_scores_gemma":[0.001164511,0.00009335214,0.0002517012,0.002093122,0.0004507616,0.0004458274,0.0007749249,0.0002072073,0.00009686532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007440644,"about_ca_system_score_gemma":0.0004954807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005486357,"about_ca_topic_score_gemma":0.006114813,"domain_scores_codex":[0.9995791,0.00011273,0.00004127095,0.00008216441,0.00005965981,0.0001250473],"domain_scores_gemma":[0.9992673,0.0001343763,0.0003129094,0.00004439468,0.0001358864,0.0001051295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00052891,0.00006044707,0.9030791,0.0002466472,0.0002264096,0.001382558,0.002963908,0.005484186,0.003679667,0.008271331,0.0009940009,0.07308295],"study_design_scores_gemma":[0.000004175768,0.00004995784,0.9932293,0.00006693927,0.00002459723,0.0002365651,0.001617155,0.0003868568,0.0003769867,0.000180296,0.003822373,0.000004766363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900574,0.001778331,0.000220099,0.0001046079,0.00001170858,0.000003929886,0.0001471662,0.000004584536,0.007672098],"genre_scores_gemma":[0.9989489,0.000501314,0.000120196,0.0000150066,0.000004804653,0.000001691677,0.0001384213,0.000001159268,0.0002685243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005486357,"threshold_uncertainty_score":0.01090884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2290943870","doi":"10.5937/industrija43-8163","title":"Lenovo acquires IBM's x86 low-end server business","year":2015,"lang":"en","type":"article","venue":"Industrija","topic":"Firm Innovation and Growth","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":"IBM; x86; Competition (biology); Business; Database; Government (linguistics); Computer science; Industrial organization; Commerce; Operating system; Software","authors":[{"name":"Pal Singh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1109391400959488,"gpt":0.2325864322309513,"spread":0.1216472921350025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002468108,0.0001212778,0.0001533473,0.001178187,0.0007641984,0.002602268,0.0001612637,0.000219875,0.003774926],"category_scores_gemma":[0.001002183,0.0000943697,0.0001545263,0.001335231,0.0004868491,0.001146156,0.000702056,0.0004812949,0.000453838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003001422,"about_ca_system_score_gemma":0.001236592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0265144,"about_ca_topic_score_gemma":0.03170557,"domain_scores_codex":[0.9995901,0.00004974229,0.00001544395,0.00004953957,0.0001830387,0.0001121525],"domain_scores_gemma":[0.999221,0.0002654385,0.0002600653,0.00002418202,0.0001375741,0.00009182421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004309502,0.0003017757,0.8419058,0.0002195963,0.00004260776,0.002731548,0.004566834,0.006084663,0.008763555,0.03757925,0.006454019,0.09091936],"study_design_scores_gemma":[0.00001016916,0.0001580316,0.9309357,0.0001032398,0.00001977828,0.0003792824,0.01087483,0.003356524,0.005657667,0.00182593,0.04665036,0.00002840466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9643803,0.0002332875,0.0002357916,0.0003388376,0.000005073159,0.00002642676,0.0003876079,0.00001539588,0.03437733],"genre_scores_gemma":[0.9872198,0.0004573825,0.0002595093,0.00004921505,0.00000934273,0.00001005504,0.0007078571,0.000008666022,0.01127813],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0265144,"threshold_uncertainty_score":0.05272019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3198064941","doi":"","title":"Labor force in agriculture of Serbia","year":2005,"lang":"en","type":"article","venue":"Industrija","topic":"Regional Development and Management Studies","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":"Agriculture; Population; Working population; Agricultural economics; Product (mathematics); Human capital; Rural population; Geography; Business; Economics; Economic growth; Demography","authors":[{"name":"J. Subić","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03380610049547831,"gpt":0.2027897035321255,"spread":0.1689836030366472,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002253632,0.0002278685,0.0002278008,0.00132041,0.0005176718,0.000878127,0.0002061239,0.0002163932,0.003241657],"category_scores_gemma":[0.0003578457,0.0001466581,0.0001927528,0.00133633,0.0002427822,0.0003001021,0.0004628188,0.0003009794,0.000567007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005944284,"about_ca_system_score_gemma":0.000712915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03087677,"about_ca_topic_score_gemma":0.03254509,"domain_scores_codex":[0.9998158,0.00003540311,0.00001225408,0.00003150779,0.00001910957,0.00008597244],"domain_scores_gemma":[0.9998191,0.00003081332,0.00008495701,0.000005181996,0.00001892001,0.00004105683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002222854,0.0002413937,0.9139243,0.0003491713,0.0001055904,0.002029869,0.00472648,0.001699664,0.001338323,0.0126382,0.008665834,0.05405882],"study_design_scores_gemma":[0.00001253435,0.0001229174,0.971419,0.0001689075,0.00002260098,0.0004488962,0.005021118,0.000737096,0.0001412196,0.0004784058,0.0214193,0.000007999193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829875,0.004960704,0.0002097734,0.0004994074,0.00004849296,0.00001750181,0.001815388,0.000007638517,0.009453581],"genre_scores_gemma":[0.9928104,0.002527766,0.0001267393,0.00007837254,0.00002301028,0.00001367348,0.0008599553,0.000001973228,0.003558239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03087677,"threshold_uncertainty_score":0.06139416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4299126056","doi":"10.5937/industrija42-6319","title":"10.5937/industrija42-6319 = Retraction: Impact of inflation on the macroeconomic indicators in transition economies (2012, vol. 40, no. 2, p. 19-34)","year":2014,"lang":"en","type":"article","venue":"Industrija","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Inflation (cosmology); Economics; Economic history; Economy; Political science","authors":[{"name":"Board Editorial","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02471615258493378,"gpt":0.2353854971457812,"spread":0.2106693445608474,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001837013,0.001196209,0.001165844,0.002585047,0.001567259,0.008008023,0.00123882,0.003575721,0.8424169],"category_scores_gemma":[0.009049824,0.0004683861,0.0007904992,0.003127856,0.0007306032,0.002659616,0.003327121,0.002370173,0.8717456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517324,"about_ca_system_score_gemma":0.001562441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584507,"about_ca_topic_score_gemma":0.002806646,"domain_scores_codex":[0.9982938,0.0002477664,0.000227032,0.0002350966,0.0007952858,0.0002009758],"domain_scores_gemma":[0.9930038,0.001236521,0.0006309495,0.0009927124,0.003054642,0.001081373],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000251042,0.0000122101,0.0001253479,0.0001620836,0.000002716727,0.00003202857,0.00001768944,0.00001742739,0.0001172169,0.0006657637,0.9572459,0.04157654],"study_design_scores_gemma":[0.0000128312,0.00001031497,0.0008729478,0.0001596506,0.000002312977,0.00007470967,0.00002742736,0.000027533,0.00005116942,0.0002513773,0.9985017,0.000008132819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00122118,0.009219846,0.0007848648,0.03427249,0.2256247,0.0002339925,0.00904385,0.00348323,0.716116],"genre_scores_gemma":[0.00392047,0.003515042,0.0004648291,0.005359774,0.01870534,0.0001612317,0.002695082,0.001139854,0.9640384],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.998163,"threshold_uncertainty_score":0.2247731,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}