{"meta":{"query_hash":"1308e038db58","filters":{"venue":"Bankarstvo"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/1308e038db58","api":"https://metacan.xera.ac/api/v1/cohort?venue=Bankarstvo"},"results":[{"id":"W2617308663","doi":"10.5937/bankarstvo1404122s","title":"Determinants of the nonperforming loans level movement in the banking sector of Serbia","year":2014,"lang":"en","type":"article","venue":"Bankarstvo","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Non-performing loan; Loan; Financial system; Profitability index; Unit root; Capital adequacy ratio; Economics; Business; Interest rate; National bank; Quarter (Canadian coin); Financial sector; Monetary economics; Finance; Econometrics; Market economy; Geography; Incentive","score_opus":0.036039236086702967,"score_gpt":0.23157107594944773,"score_spread":0.19553183986274475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617308663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945277,0.00016153922,0.00073934626,0.00012026421,0.00027165294,0.00028389157,0.000040490006,0.000006198004,0.0038489164],"genre_scores_gemma":[0.9994786,0.0000067076658,0.0002570703,0.000120716824,0.00004133872,0.000012299065,0.0000011112647,0.000013046411,0.000069120266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859154,0.000053028405,0.0007700369,0.0002530444,0.00010063415,0.00023169821],"domain_scores_gemma":[0.9986399,0.00016004549,0.00049893203,0.0006515676,0.00003624712,0.0000133416115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018052146,0.00011982522,0.00030665135,0.000119704826,0.000090074216,0.00001860971,0.000571073,0.000069187845,0.00014430657],"category_scores_gemma":[0.00022024452,0.00009007952,0.00011589991,0.00040377743,0.00011289245,0.000106050284,0.00008884976,0.00011254862,0.00000890168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041855537,0.000106277075,0.9520881,0.000074912896,0.0000051122224,1.19162834e-7,0.002590728,0.00046275533,0.00017030463,0.042089477,0.000017699937,0.002390335],"study_design_scores_gemma":[0.00029969608,0.000041424213,0.9619295,0.000059926737,0.0000042522934,0.0000010615896,0.00007823247,0.010850487,0.001906039,0.024203422,0.0005151362,0.00011081858],"about_ca_topic_score_codex":0.00049973506,"about_ca_topic_score_gemma":0.000607215,"teacher_disagreement_score":0.017886056,"about_ca_system_score_codex":0.00007012022,"about_ca_system_score_gemma":0.000024579269,"threshold_uncertainty_score":0.36733362},"labels":[],"label_agreement":null},{"id":"W4253571495","doi":"10.5937/bankarstvo2104036r","title":"Comparative analysis of the impact of balance sheet size on bank operations in the Republic of Serbia in the period before and during the Covid-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Bankarstvo","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Pandemic; Profitability index; Balance sheet; Quarter (Canadian coin); Business; Coronavirus disease 2019 (COVID-19); Sample (material); Capital (architecture); Financial system; Demographic economics; Economics; Finance; Geography; Medicine","score_opus":0.024992715008637867,"score_gpt":0.29163836210779664,"score_spread":0.2666456470991588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253571495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955652,0.00019355185,0.000002493393,0.0030834419,0.00002649518,0.00025093523,0.000019958452,0.000004726659,0.0008532021],"genre_scores_gemma":[0.9989683,0.00003868428,0.0000045777415,0.00085295324,0.00004401006,0.000023902023,0.000008084352,0.0000037704187,0.000055687036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990053,0.00010908683,0.00033163992,0.00017375278,0.00022834653,0.00015186724],"domain_scores_gemma":[0.9989982,0.000276338,0.00020149746,0.00041961943,0.000102643404,0.0000016499356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007429178,0.0001242602,0.00035051367,0.00011627125,0.000233994,0.000073503325,0.0003825893,0.000034687524,0.000041273917],"category_scores_gemma":[0.000406279,0.000053102696,0.00015466867,0.0020041466,0.00019922171,0.00017711864,0.0001270048,0.00016627935,4.8986124e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028210532,0.00011209337,0.9666344,0.00007758204,0.00020347562,0.0000036875308,0.0162514,0.008957219,0.0004301444,0.0068332576,0.00037730497,0.00009123478],"study_design_scores_gemma":[0.00034283876,0.000013638293,0.9931849,0.00005180242,0.00012851573,0.0000026481143,0.0034120097,0.0021888688,0.000022917047,0.00047095484,0.00012246324,0.000058399197],"about_ca_topic_score_codex":0.0017551531,"about_ca_topic_score_gemma":0.012694462,"teacher_disagreement_score":0.026550554,"about_ca_system_score_codex":0.000037185277,"about_ca_system_score_gemma":0.00006410843,"threshold_uncertainty_score":0.70838076},"labels":[],"label_agreement":null},{"id":"W4285172497","doi":"10.5937/bankarstvo2201070a","title":"Does bank profitability affect economic growth: Examples of banks in some western Balkan countries","year":2022,"lang":"en","type":"article","venue":"Bankarstvo","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Quarter (Canadian coin); Panel data; Causality (physics); Economics; Capital (architecture); Resource (disambiguation); Business; Monetary economics; Finance; Geography","score_opus":0.018666834031652018,"score_gpt":0.2277902518612534,"score_spread":0.2091234178296014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285172497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99413276,0.0012123077,0.00009668386,0.00074612984,0.0010529449,0.00075729407,0.00081245584,0.00007308316,0.0011163349],"genre_scores_gemma":[0.9991291,0.000060834343,0.00014522359,0.000089702655,0.0000976567,0.00017879452,0.00004162983,0.00004083742,0.00021622937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706525,0.00014125304,0.0012898261,0.00087973167,0.00011763408,0.0005062921],"domain_scores_gemma":[0.99811727,0.0003670334,0.00060343224,0.000813814,0.00003782001,0.000060649974],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023996588,0.00027708607,0.0007584362,0.00047223264,0.00021982667,0.00006462534,0.0006174032,0.00011077081,0.0019473563],"category_scores_gemma":[0.00019867948,0.0002780946,0.00019023629,0.0003425774,0.00028407061,0.0004972418,0.0003239686,0.000272107,0.00009262542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003630563,0.00019910959,0.8356786,0.00013108374,0.000019160181,0.0000014827679,0.0010892616,0.0007064235,0.000019108169,0.16184494,0.00006921403,0.00020534643],"study_design_scores_gemma":[0.0007252972,0.0001423037,0.918333,0.000013410269,0.0000069397215,0.0000030090007,0.000099828525,0.00083312317,0.00033977977,0.07406552,0.005053793,0.00038397466],"about_ca_topic_score_codex":0.0015857738,"about_ca_topic_score_gemma":0.00074288214,"teacher_disagreement_score":0.08777942,"about_ca_system_score_codex":0.00080380734,"about_ca_system_score_gemma":0.00012009465,"threshold_uncertainty_score":0.9999671},"labels":[],"label_agreement":null},{"id":"W4285179060","doi":"10.5937/bankarstvo2201032d","title":"Development of the Instruments for measuring the quality of E-Banking services in the Republic of Serbia: E-BSrb-QUAL","year":2022,"lang":"en","type":"article","venue":"Bankarstvo","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Quality (philosophy); Reliability (semiconductor); Serbian; Personalization; Business; Service quality; Principal (computer security); Service (business); Marketing; Montenegro; Computer science; Regional science; Geography; Computer security","score_opus":0.22110380157728446,"score_gpt":0.40062862970733204,"score_spread":0.17952482813004758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285179060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997412,0.000055577435,0.00008808916,0.0014620719,0.00022505727,0.00044238087,0.0000284569,0.0000125610795,0.0002737673],"genre_scores_gemma":[0.99893177,0.0000011891941,0.0006951155,0.00019864814,0.000006468428,0.0000871716,0.0000018321853,0.0000056744625,0.000072158546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99628174,0.0005657707,0.0011692494,0.00025414056,0.0015447297,0.00018436628],"domain_scores_gemma":[0.9974501,0.0005498939,0.00091294385,0.0008787912,0.00019553951,0.000012713539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0099812895,0.00010098492,0.00026598314,0.00017817477,0.00037302112,0.000026430635,0.0024836925,0.000059368605,0.00010173417],"category_scores_gemma":[0.00044021476,0.000050715873,0.000138701,0.0011270338,0.00014330672,0.000112322494,0.0006540518,0.0002436766,0.0000010003006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014421606,0.00051119976,0.87094057,0.00007365851,0.000055540877,5.068879e-7,0.037863426,0.00015979161,0.006898765,0.023911368,0.00026707505,0.059173863],"study_design_scores_gemma":[0.0005689832,0.00003369536,0.9537119,0.00002534321,0.000010899357,0.0000034277148,0.024632331,0.00005887727,0.009189542,0.006709524,0.0049784807,0.000076939206],"about_ca_topic_score_codex":0.00008379579,"about_ca_topic_score_gemma":0.00052454456,"teacher_disagreement_score":0.08277137,"about_ca_system_score_codex":0.000048330872,"about_ca_system_score_gemma":0.0001694179,"threshold_uncertainty_score":0.461536},"labels":[],"label_agreement":null},{"id":"W7133654160","doi":"10.5937/bankarstvo2601178d","title":"AML beyond compliance: A case-based, cost-efficient approach for modern banks","year":2025,"lang":"en","type":"article","venue":"Bankarstvo","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Money laundering; Compliance (psychology); Scale (ratio); Modularity (biology); Excellence; Limiting","score_opus":0.06453004791780834,"score_gpt":0.3468582754373944,"score_spread":0.2823282275195861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133654160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10471398,0.0020420405,0.5431993,0.0022626237,0.0014996639,0.003796864,0.0006050459,0.00034917673,0.34153134],"genre_scores_gemma":[0.98379856,0.000020602802,0.002919739,0.0012281291,0.00025050095,0.0004336958,0.000025595498,0.000020812078,0.011302375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817413,0.00009229671,0.00025328924,0.0004867694,0.00038415362,0.00060938427],"domain_scores_gemma":[0.99883157,0.00036769136,0.00015982367,0.00036178416,0.00016279283,0.00011632656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005373888,0.00020232784,0.00029483018,0.00009512503,0.0009767027,0.00014999573,0.00035278412,0.00016641457,0.00006179912],"category_scores_gemma":[0.00022136446,0.00021070818,0.0001783128,0.00039329508,0.0003694826,0.000109227905,0.000048344566,0.00018030514,0.000011028481],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006161982,0.0025077113,0.0026094294,0.00083721115,0.00021328779,0.00020414779,0.03079861,0.03346804,0.0005209743,0.40873694,0.16638532,0.35310212],"study_design_scores_gemma":[0.0026450667,0.000093370196,0.00066969194,0.00013402669,0.00012558822,0.00001985062,0.0054413257,0.20684846,0.0008269736,0.0051215966,0.77727205,0.0008020401],"about_ca_topic_score_codex":0.0033994892,"about_ca_topic_score_gemma":0.0019434735,"teacher_disagreement_score":0.8790846,"about_ca_system_score_codex":0.000351226,"about_ca_system_score_gemma":0.00048567718,"threshold_uncertainty_score":0.85924304},"labels":[],"label_agreement":null}]}