{"meta":{"query_hash":"bc6dcd4d8f8f","filters":{"venue":"Celal Bayar Üniversitesi Sosyal Bilimler Dergisi"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/bc6dcd4d8f8f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Celal+Bayar+%C3%9Cniversitesi+Sosyal+Bilimler+Dergisi"},"results":[{"id":"W2907890578","doi":"10.18026/cbayarsos.505987","title":"APPLICATION OF COMMERCIAL AIRCRAFT SELECTION IN AVIATION INDUSTRY THROUGH MULTI-CRITERIA DECISION MAKING METHODS","year":2018,"lang":"en","type":"article","venue":"Celal Bayar Üniversitesi Sosyal Bilimler Dergisi","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Boeing (Canada)","funders":"","keywords":"Aviation; Ranking (information retrieval); Context (archaeology); Analytic hierarchy process; Selection (genetic algorithm); Operations research; Aeronautics; Computer science; Aircraft industry; Commercial aviation; Aerospace; Operations management; Engineering; Artificial intelligence; Aerospace engineering","score_opus":0.13527967755471781,"score_gpt":0.48362381068035687,"score_spread":0.34834413312563905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907890578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124609314,0.0020229637,0.8583281,0.00057194993,0.00012289306,0.0016376876,0.00020603278,0.00016239777,0.0123386765],"genre_scores_gemma":[0.5729887,0.0007525507,0.42435873,0.00007314796,0.00003455476,0.0008685384,0.0001038562,0.000019548348,0.00080032094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98787326,0.008034948,0.00066349393,0.00052511814,0.0025415625,0.00036155785],"domain_scores_gemma":[0.99024266,0.007667389,0.0005427631,0.00015933423,0.0011853788,0.0002024264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010821174,0.001418264,0.0013972677,0.0046439148,0.0012188002,0.0026183645,0.0012552202,0.00095881836,0.002841545],"category_scores_gemma":[0.013376403,0.00047387916,0.0016381892,0.0043284227,0.0006547955,0.0012988669,0.0015392482,0.0010587636,0.00023122277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006379793,0.0011414768,0.010325461,0.0029193645,0.00092852797,0.00062622706,0.0020101345,0.49484134,0.0068544573,0.02791502,0.0014053754,0.45039466],"study_design_scores_gemma":[0.000104742976,0.00070930016,0.0030514055,0.00038162037,0.00018574487,0.0001370293,0.0012167658,0.9661007,0.0032521097,0.02118382,0.0036061364,0.00007063587],"about_ca_topic_score_codex":0.0026844635,"about_ca_topic_score_gemma":0.003266345,"teacher_disagreement_score":0.010821174,"about_ca_system_score_codex":0.0018851543,"about_ca_system_score_gemma":0.002900463,"threshold_uncertainty_score":0.057228565},"labels":[],"label_agreement":null},{"id":"W3019118033","doi":"10.18026/cbayarsos.525794","title":"NATO ve EURO Bölgesindeki Savunma Sanayilerinin İktisadi Etkinliği ve Toplam Faktör Verimliliği","year":2020,"lang":"tr","type":"article","venue":"Celal Bayar Üniversitesi Sosyal Bilimler Dergisi","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Total factor productivity; Productivity; Index (typography); Economics; Defense industry; International trade; Business; Macroeconomics; Management; Computer science","score_opus":0.042240724159483586,"score_gpt":0.21397322063511562,"score_spread":0.17173249647563205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019118033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760252,0.0030929085,0.0014109978,0.0004584637,0.00004642089,0.000016738859,0.006221626,0.000047956375,0.0126795815],"genre_scores_gemma":[0.98045737,0.00240895,0.0010315598,0.000051165436,0.00003229833,0.00003141087,0.010171824,0.000020624637,0.0057948353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996816,0.000047369096,0.000034784447,0.00006127305,0.00010184791,0.00007304916],"domain_scores_gemma":[0.9991605,0.00015127976,0.00035800147,0.000052615305,0.00023788799,0.000039726798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070407614,0.0004167765,0.00035392548,0.0014784907,0.0002529501,0.0016449468,0.00019343843,0.00017106482,0.0032292258],"category_scores_gemma":[0.001133758,0.00011344945,0.00036526966,0.0026770374,0.00030622468,0.0008054156,0.0004344261,0.0003556625,0.0009496477],"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":[0.00060159835,0.0001232175,0.86204714,0.00045008972,0.00034200685,0.0013517155,0.0008746211,0.011632325,0.0018491184,0.012890628,0.011625494,0.09621212],"study_design_scores_gemma":[0.000022555298,0.00008737402,0.93307155,0.00022131561,0.0001536199,0.00050206966,0.0031131136,0.006184329,0.00313472,0.0014757062,0.052004654,0.000028985805],"about_ca_topic_score_codex":0.015122552,"about_ca_topic_score_gemma":0.013587172,"teacher_disagreement_score":0.015122552,"about_ca_system_score_codex":0.0011377156,"about_ca_system_score_gemma":0.001146094,"threshold_uncertainty_score":0.030069053},"labels":[],"label_agreement":null},{"id":"W3163196199","doi":"10.18026/cbayarsos.763909","title":"The Impacts of Publicly and Privately-Owned Banks on Economic Growth in Turkey: A Comparative Analysis","year":2021,"lang":"en","type":"article","venue":"Celal Bayar Üniversitesi Sosyal Bilimler Dergisi","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Cointegration; Gross domestic product; Financial system; Quarter (Canadian coin); Investment (military); Business; Real gross domestic product; Economics; Monetary economics; Finance; Macroeconomics","score_opus":0.019232212338204602,"score_gpt":0.2213385443045057,"score_spread":0.2021063319663011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163196199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939494,0.0019732988,0.000055742523,0.00011505649,0.0000088703855,0.000004789282,0.00042762744,0.000005198969,0.0034600927],"genre_scores_gemma":[0.9978714,0.0013638535,0.000036856753,0.000012142087,0.000009454708,0.0000035896803,0.00041405266,0.0000015608891,0.00028708627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997038,0.000053950076,0.000028138513,0.00004746697,0.00005420345,0.000112417605],"domain_scores_gemma":[0.99932694,0.00021881617,0.00017661089,0.000019784866,0.00018448869,0.00007332192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042865667,0.000310657,0.00034924375,0.0022423847,0.00025723048,0.0009538847,0.0002080312,0.00029031554,0.0019421978],"category_scores_gemma":[0.00071996445,0.000109311506,0.000551252,0.002602716,0.00034144556,0.000644796,0.00059131905,0.0002911848,0.00020861957],"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":[0.00091111095,0.0002523146,0.902309,0.00060649915,0.0004246461,0.0043514166,0.001882828,0.009855562,0.0010830747,0.0067553557,0.0034189695,0.0681493],"study_design_scores_gemma":[0.000009237843,0.00010219448,0.9919276,0.0000613555,0.000112742244,0.00036450452,0.0024884017,0.0020308162,0.00018260872,0.00023449148,0.0024737045,0.000012285982],"about_ca_topic_score_codex":0.013851939,"about_ca_topic_score_gemma":0.012012379,"teacher_disagreement_score":0.013851939,"about_ca_system_score_codex":0.0013202148,"about_ca_system_score_gemma":0.0007138872,"threshold_uncertainty_score":0.02754265},"labels":[],"label_agreement":null},{"id":"W3176823384","doi":"10.18026/cbayarsos.872621","title":"Türkiye’de Ticaret Sürecinde Yer Alan Tarafların Ticaretin Kolaylaştırılması Üzerine Karşılıklı Beklentileri","year":2021,"lang":"tr","type":"article","venue":"Celal Bayar Üniversitesi Sosyal Bilimler Dergisi","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.03418146405598127,"score_gpt":0.19110624438746524,"score_spread":0.15692478033148397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176823384","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42150176,0.081714585,0.01783148,0.03910801,0.004487522,0.0011531917,0.006401152,0.0013190805,0.42648315],"genre_scores_gemma":[0.76589733,0.041959163,0.012561807,0.0067389444,0.0011314915,0.000857538,0.0043738587,0.00045634495,0.16602354],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99834466,0.0003090455,0.00016540643,0.00021183987,0.000558547,0.0004105151],"domain_scores_gemma":[0.9980902,0.00032115573,0.00040410968,0.00009267332,0.00069177453,0.00040017522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010918098,0.0008978004,0.0010623741,0.0014270057,0.0032402433,0.0038435955,0.0008602545,0.0018687485,0.054458536],"category_scores_gemma":[0.003973268,0.00042328655,0.0012355937,0.0014529949,0.0015996014,0.002064182,0.002262539,0.002069486,0.0144281965],"study_design_candidate":"qualitative","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":[0.0037940985,0.0015565604,0.115800284,0.008931085,0.00076373765,0.012117396,0.020379124,0.0009963211,0.019742917,0.03362518,0.14683224,0.6354611],"study_design_scores_gemma":[0.00036153017,0.0011489126,0.23216654,0.0052863364,0.00056761235,0.01543345,0.038279686,0.0012196635,0.009145872,0.012436879,0.6834791,0.0004743637],"about_ca_topic_score_codex":0.020420577,"about_ca_topic_score_gemma":0.033223934,"teacher_disagreement_score":0.054458536,"about_ca_system_score_codex":0.0028958349,"about_ca_system_score_gemma":0.005674679,"threshold_uncertainty_score":0.18218195},"labels":[],"label_agreement":null}]}