{"meta":{"query_hash":"c0c571d23185","filters":{"venue":"Technological and Economic Development of Economy"},"cohort_total":21,"direct_labels_cover":0,"predictions_cover":21,"exported":21,"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/c0c571d23185","api":"https://metacan.xera.ac/api/v1/cohort?venue=Technological+and+Economic+Development+of+Economy"},"results":[{"id":"W1519032648","doi":"10.3846/13928619.2007.9637780","title":"MANAGERIAL AND ECONOMIC OPTIMISATIONS FOR PREFABRICATED BUILDING SYSTEMS","year":2007,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Simple (philosophy); Point (geometry); Architectural engineering; Computer science; Risk analysis (engineering); Environmental economics; Business; Economics; Engineering; Mathematics","score_opus":0.01536978068560412,"score_gpt":0.20537390783205434,"score_spread":0.1900041271464502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519032648","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":[0.91169405,0.0001841132,0.0807822,0.000042943775,0.00025809393,0.0002843562,0.000008162147,0.00021358661,0.0065325107],"genre_scores_gemma":[0.9771964,0.00003883336,0.022599058,0.0000044308704,0.00003503322,0.00006773308,0.0000076700535,0.000008188959,0.000042664724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927163,0.0000018913587,0.0003980592,0.00017060497,0.0000089605965,0.00014886132],"domain_scores_gemma":[0.99977016,0.000045860415,0.00006488389,0.000070646456,0.0000071384156,0.000041288415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021813574,0.000108047134,0.00018426223,0.00012977068,0.00007211736,0.000036445377,0.000068438625,0.00012732032,0.00002934589],"category_scores_gemma":[0.0000039105357,0.000106510925,0.000019868541,0.000017581782,0.000089753696,0.00011724916,0.000028784261,0.00005154861,0.0000073175324],"study_design_candidate":"theoretical_or_conceptual","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":[0.000052328665,0.000023657649,0.0049255244,0.00023928136,0.00028271507,5.543615e-7,0.00016084386,0.005160993,0.0032308819,0.64371437,0.0004652691,0.34174356],"study_design_scores_gemma":[0.0044610337,0.00024047501,0.022821337,0.00016258145,0.00010465927,0.00013956075,0.0029285213,0.3061705,0.083707824,0.043632425,0.5333501,0.0022809978],"about_ca_topic_score_codex":0.0000046089895,"about_ca_topic_score_gemma":0.000011312046,"teacher_disagreement_score":0.600082,"about_ca_system_score_codex":0.00011628088,"about_ca_system_score_gemma":0.000017426819,"threshold_uncertainty_score":0.43433893},"labels":[],"label_agreement":null},{"id":"W1561502092","doi":"10.3846/13928619.2007.9637803","title":"RELEVANT CODES AND REGULATIONS: EFFECTS ON THE DESIGN OF INDUSTRIAL CONSTRUCTION","year":2007,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Function (biology); Field (mathematics); Industrial design; Work (physics); Construction engineering; Computer science; Risk analysis (engineering); Engineering; Business; Mechanical engineering","score_opus":0.13307987757733417,"score_gpt":0.3729843698044275,"score_spread":0.23990449222709334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561502092","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":[0.9907831,0.000055515342,0.0024155464,0.0013784515,0.00008600419,0.0009847874,0.0000044280405,0.000026857104,0.0042653093],"genre_scores_gemma":[0.9913034,0.00006790649,0.008388511,0.000077259036,0.00003478451,0.00008357585,0.0000041275007,0.0000035809603,0.00003687607],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989228,0.00008489333,0.0005792447,0.00016031643,0.000040106348,0.00021259756],"domain_scores_gemma":[0.99646515,0.003127542,0.00021714625,0.000102863676,0.000029422925,0.000057854322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021112987,0.00007981866,0.00021423005,0.00011758632,0.00031864332,0.0000027899944,0.000080107704,0.00021306275,0.00009806442],"category_scores_gemma":[0.0002735083,0.000052582443,0.000012789145,0.00005061563,0.0002826322,0.00004218311,0.00007660863,0.0002587348,0.00001976407],"study_design_candidate":"observational","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":[0.00061359047,0.00004271177,0.23160304,0.00018208947,0.000048582737,5.881102e-7,0.00023717212,0.000009928655,0.0001857097,0.28542277,0.00029670403,0.4813571],"study_design_scores_gemma":[0.004469166,0.001022711,0.79419166,0.0008186595,0.0000224638,0.000009668077,0.003563128,0.0012308459,0.016695607,0.14524181,0.03222253,0.0005117675],"about_ca_topic_score_codex":0.000009645094,"about_ca_topic_score_gemma":0.0000088405895,"teacher_disagreement_score":0.56258863,"about_ca_system_score_codex":0.000088147535,"about_ca_system_score_gemma":0.00022589121,"threshold_uncertainty_score":0.2450779},"labels":[],"label_agreement":null},{"id":"W1590057214","doi":"10.1080/13928619.2004.9637667","title":"The evaluation model of construction companies’ personnel safety and health system","year":2004,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":3,"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":"Quarter (Canadian coin); Work (physics); Business; Economics; Operations management; Engineering; Geography","score_opus":0.15705981189287035,"score_gpt":0.4018467398267603,"score_spread":0.24478692793388993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590057214","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":[0.98161346,0.0004587351,0.0035740156,0.0044592572,0.000100998775,0.0013182354,0.000021819887,0.000051759038,0.008401733],"genre_scores_gemma":[0.9917107,0.00029266515,0.0077860234,0.00004697713,0.000012713813,0.00011509619,0.000010767434,0.0000041069743,0.000020938685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985743,0.0000622792,0.0008394555,0.0001949329,0.000068836125,0.0002601515],"domain_scores_gemma":[0.99916506,0.00019706534,0.0003572976,0.000119676195,0.00007475189,0.00008616837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002552047,0.000088542234,0.00029045134,0.00007591642,0.0009021998,0.000004440574,0.00009982613,0.00012583852,0.000020823722],"category_scores_gemma":[0.00003671817,0.000063004976,0.000018436136,0.000038691007,0.00031102457,0.00006864336,0.00010660788,0.00019496896,0.0000136577755],"study_design_candidate":"theoretical_or_conceptual","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":[0.00024722778,0.00004286699,0.029976605,0.0008097775,0.000049573908,6.5599465e-8,0.0014144088,0.00095427304,0.000012414407,0.72095907,0.000028913362,0.2455048],"study_design_scores_gemma":[0.015036811,0.00073243905,0.47967455,0.0013724709,0.00004015492,0.000027831491,0.08475716,0.29629052,0.00032628296,0.10875986,0.012118873,0.00086303527],"about_ca_topic_score_codex":0.000069037924,"about_ca_topic_score_gemma":0.00012266799,"teacher_disagreement_score":0.61219925,"about_ca_system_score_codex":0.00059306767,"about_ca_system_score_gemma":0.0012717443,"threshold_uncertainty_score":0.6939083},"labels":[],"label_agreement":null},{"id":"W2016403262","doi":"10.3846/20294913.2014.915245","title":"CRITICALITY ASSESSMENT OF ENERGY INFRASTRUCTURE","year":2014,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Environmental and Industrial Safety","field":"Environmental Science","cited_by":12,"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":"Lietuvos Mokslo Taryba","keywords":"Critical infrastructure; Criticality; Interdependence; Critical infrastructure protection; Electricity; Ukrainian; Measure (data warehouse); Element (criminal law); Energy sector; Energy security; Unit (ring theory); Business; Computer science; Environmental economics; Risk analysis (engineering); Computer security; Engineering; Economics; Renewable energy","score_opus":0.0104350168575655,"score_gpt":0.20929028519227424,"score_spread":0.19885526833470873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016403262","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":[0.89354795,0.000007883129,0.0031895752,0.00023619598,0.00003041404,0.00006406325,0.0000036328731,0.00002415679,0.1028961],"genre_scores_gemma":[0.9851198,0.000017851284,0.014691263,0.00008063522,0.000008886424,0.000011161117,0.000004647692,0.0000037707123,0.00006198179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910015,0.000017464477,0.00043186464,0.00025040915,0.00004142989,0.00015870438],"domain_scores_gemma":[0.99962497,0.00004227508,0.00012375932,0.0001437603,0.000001358786,0.00006389057],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027477648,0.00011522089,0.00025717658,0.000023940202,0.000053878684,0.0000051902457,0.0001809809,0.00013860172,0.0029206495],"category_scores_gemma":[0.000011347846,0.000094778574,0.000032751796,0.00002849996,0.00056416594,0.00009271611,0.00036534245,0.00008334313,0.00002148307],"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":[0.000014753775,0.00013755637,0.49772966,0.000020426587,0.000034867044,3.0242757e-7,0.000025102287,0.00022525314,0.0029408704,0.12376851,0.0003902411,0.37471247],"study_design_scores_gemma":[0.0005159395,0.00012560653,0.7201004,0.000011774021,0.000008426948,0.000003327428,0.000060444374,0.0012634879,0.017021274,0.039711166,0.22089645,0.00028169292],"about_ca_topic_score_codex":0.000020638558,"about_ca_topic_score_gemma":0.000009159677,"teacher_disagreement_score":0.37443078,"about_ca_system_score_codex":0.000121801044,"about_ca_system_score_gemma":0.00001190748,"threshold_uncertainty_score":0.9979908},"labels":[],"label_agreement":null},{"id":"W2023997099","doi":"10.3846/1392-8619.2009.15.26-38","title":"ASPECTS OF THE NATIONAL URBAN POLICY MANAGEMENT UNDER CONDITIONS OF INTEGRATED PLANNING","year":2009,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Local Economic Development and Planning","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Harmony (color); Autonomy; Architecture; Business; Government (linguistics); Politics; Urban planning; Economic growth; Public administration; Political science; Economic system; Economics; Engineering; Geography","score_opus":0.03537771457070477,"score_gpt":0.28205372907256754,"score_spread":0.24667601450186277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023997099","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":[0.6362903,0.000031981483,0.00009655527,0.0012855781,0.000041678817,0.00016506757,0.0000087340995,0.000030795625,0.36204928],"genre_scores_gemma":[0.9975681,0.000016845428,0.0018045184,0.00017373322,0.000017252685,0.000008215734,0.000007981633,0.0000025081956,0.00040089633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990963,0.000018083298,0.00048508545,0.00016823066,0.00005769106,0.00017461544],"domain_scores_gemma":[0.99953276,0.000062457424,0.00026685334,0.00006896013,0.000029531331,0.000039436916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046621275,0.00009873779,0.00023027654,0.00018757308,0.00017291117,0.000013759913,0.00028410603,0.00010602211,0.00018121851],"category_scores_gemma":[0.000033020435,0.00007884376,0.000043389547,0.000127875,0.00041361767,0.0001101952,0.00007889899,0.00008062449,0.00000738607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000081097,0.000043147338,0.014042995,0.000011769665,0.00006859584,2.1017118e-7,0.0008043308,0.00010734398,0.00007759303,0.9786269,0.00034261312,0.005866364],"study_design_scores_gemma":[0.0010341968,0.00007084951,0.39311117,0.00022954286,0.00002266996,0.000002921003,0.007592491,0.0001695736,0.008030465,0.48533127,0.103912115,0.00049275055],"about_ca_topic_score_codex":0.00002709808,"about_ca_topic_score_gemma":0.000016614005,"teacher_disagreement_score":0.49329567,"about_ca_system_score_codex":0.0002042091,"about_ca_system_score_gemma":0.00039426622,"threshold_uncertainty_score":0.32151553},"labels":[],"label_agreement":null},{"id":"W2092929733","doi":"10.3846/2029-0187.2008.14.11-28","title":"GEOGRAPHIC INFORMATION E‐TRAINING INITIATIVES FOR NATIONAL SPATIAL DATA INFRASTRUCTURES / GEOGRAFINĖS INFORMACIJOS E. MOKYMO INICIATYVOS NACIONALINĖMS ERDVINIŲ DUOMENŲ INFRASTRUKTŪROMS","year":2008,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Geographic information system; Public participation GIS; Curriculum; Spatial analysis; Geography; GIS and public health; Computer science; Cartography; Political science; Remote sensing","score_opus":0.09169261842783757,"score_gpt":0.32142039858645693,"score_spread":0.22972778015861936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092929733","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":[0.95447665,0.00005892682,0.0023564561,0.0008246074,0.00028976292,0.0006593365,0.0002630205,0.00016560442,0.040905613],"genre_scores_gemma":[0.98632145,0.00016786826,0.012420135,0.00029041505,0.00009416238,0.00013641188,0.0005387189,0.0000056467156,0.00002516451],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835885,0.00002834215,0.00082302757,0.00028636004,0.00013840784,0.00036502472],"domain_scores_gemma":[0.9988898,0.00023595059,0.00044658093,0.00018731579,0.00011685605,0.00012348393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093292195,0.0001938947,0.00032056728,0.00048936537,0.0008102386,0.00006530345,0.0005666108,0.00025353002,0.00082031765],"category_scores_gemma":[0.00026113907,0.0001916522,0.00006415104,0.00011312847,0.0009043665,0.0014478319,0.00023803781,0.00016714145,0.00002627697],"study_design_candidate":"observational","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":[0.00013277876,0.00015255126,0.49268416,0.00010766407,0.00041262,4.9030297e-7,0.02617991,0.00008053581,0.000009397836,0.2710517,0.0016542267,0.20753396],"study_design_scores_gemma":[0.00080704025,0.000064510976,0.35556552,0.000015808962,0.000009088558,0.0000055798273,0.006627838,0.00030670912,0.00006287113,0.01880339,0.61735296,0.00037867343],"about_ca_topic_score_codex":0.00013376972,"about_ca_topic_score_gemma":0.00038406116,"teacher_disagreement_score":0.61569875,"about_ca_system_score_codex":0.00007463305,"about_ca_system_score_gemma":0.0009168477,"threshold_uncertainty_score":0.8981903},"labels":[],"label_agreement":null},{"id":"W2340197128","doi":"10.3846/20294913.2015.1074129","title":"Analysis of project success factors in construction industry","year":2015,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Scope (computer science); Critical success factor; Schedule; Quality (philosophy); Business; Work (physics); Rank (graph theory); Construction industry; Order (exchange); Test (biology); Operations management; Marketing; Computer science; Process management; Engineering; Construction engineering; Finance","score_opus":0.14868826000561033,"score_gpt":0.34193494650788847,"score_spread":0.19324668650227814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340197128","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":[0.9851654,0.000017343853,0.0002544895,0.00007301901,0.000077284196,0.00013350963,0.0000047995873,0.000023123193,0.014251019],"genre_scores_gemma":[0.99738294,0.0000075098233,0.0024731823,0.000006915499,0.0000036697838,0.000011290539,0.000004662244,0.0000018203477,0.00010803797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851835,0.000022766857,0.0009186938,0.00031060964,0.000095620955,0.00013393977],"domain_scores_gemma":[0.99921054,0.000108988155,0.00040291453,0.00019263246,0.00004607148,0.000038853574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013155632,0.000106658445,0.00046010452,0.0016038849,0.00003119175,0.000035879035,0.0003142659,0.00018336777,0.00030370348],"category_scores_gemma":[0.000121912926,0.00008087663,0.000051690808,0.0008371052,0.00031728673,0.00031382914,0.00020100815,0.00013482846,0.0000088812185],"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":[0.000013395544,0.000016735179,0.9380426,0.000003543243,0.000079299716,1.7911186e-7,0.000183787,0.00009114896,0.0000043181712,0.0053046825,0.000030882344,0.05622943],"study_design_scores_gemma":[0.0009809185,0.00008137564,0.9330419,0.000017038881,0.00007202756,0.0000036525962,0.012185026,0.006172087,0.0036461565,0.015230801,0.028167395,0.00040164095],"about_ca_topic_score_codex":0.000049568953,"about_ca_topic_score_gemma":0.00015799052,"teacher_disagreement_score":0.055827793,"about_ca_system_score_codex":0.00006760828,"about_ca_system_score_gemma":0.00014736036,"threshold_uncertainty_score":0.332534},"labels":[],"label_agreement":null},{"id":"W2805684079","doi":"10.3846/20294913.2017.1280557","title":"TECHNOLOGICAL SOURCES OF ECONOMIC GROWTH IN EUROPE AND THE U.S.","year":2018,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Junta de Andalucía; Universidad de Málaga","keywords":"Economics; Technological change; Technical change; Investment (military); Growth accounting; Productivity; Technical progress; Human capital; Total factor productivity; General equilibrium theory; Capital accumulation; Capital (architecture); Growth model; Macroeconomics; Economic growth","score_opus":0.024689143060715294,"score_gpt":0.19408590342006415,"score_spread":0.16939676035934886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805684079","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":[0.96076334,0.0012052614,0.00033115008,0.0016741985,0.00009246459,0.00032195973,0.000020239451,0.00005496425,0.03553642],"genre_scores_gemma":[0.997108,0.00041992337,0.0021996186,0.0000757407,0.000039087496,0.000050264167,0.0000026662246,0.000013769917,0.00009093173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99761206,0.00002604857,0.0013308972,0.0006718708,0.0000120722525,0.00034705614],"domain_scores_gemma":[0.998798,0.0001779042,0.0006260186,0.00031479457,0.000020712274,0.00006253749],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019306561,0.0002472997,0.0009066672,0.0003644991,0.000116376614,0.00003602369,0.00046495136,0.0002419624,0.0002507306],"category_scores_gemma":[0.00018420727,0.00020491099,0.000060185106,0.00013034319,0.0037144416,0.00022588724,0.00045214425,0.00022127687,0.00017617631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000731094,0.00003984364,0.21843544,0.000030874093,0.000047746766,5.1233184e-7,0.00016620563,0.0000018061702,0.000011281932,0.7747017,0.000035226018,0.0064562685],"study_design_scores_gemma":[0.0043782094,0.000262843,0.13764709,0.0000495758,0.000013931632,0.00004383042,0.0004244822,0.0016240923,0.00976595,0.7983422,0.04653814,0.0009096163],"about_ca_topic_score_codex":0.00007516362,"about_ca_topic_score_gemma":0.000055934153,"teacher_disagreement_score":0.08078835,"about_ca_system_score_codex":0.00008325351,"about_ca_system_score_gemma":0.000056608107,"threshold_uncertainty_score":0.99899685},"labels":[],"label_agreement":null},{"id":"W2886379489","doi":"10.3846/tede.2018.4531","title":"STRATEGIC SIGNALING AND NEW TECHNOLOGICALLY SUPERIOR PRODUCT INTRODUCTION: A GAME-THEORETIC MODEL WITH SIMULATION","year":2018,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Innovation Diffusion and Forecasting","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":"York University","funders":"","keywords":"Computer science; Product (mathematics); Process (computing); Industrial organization; Supply and demand; Process management; Game theory; Business; Economics; Microeconomics; Mathematics","score_opus":0.11842309530459443,"score_gpt":0.30189579466942046,"score_spread":0.18347269936482602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886379489","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":[0.9586607,0.000030306799,0.035149004,0.001773173,0.000036009656,0.00021731645,0.0000010879872,0.00012492543,0.004007425],"genre_scores_gemma":[0.9508178,0.0000040973123,0.048637338,0.00006793824,0.00007748372,0.000012489196,0.0000019695608,0.000006765414,0.00037411053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982108,0.0000136344715,0.0007920075,0.00065507024,0.000108444154,0.00022004425],"domain_scores_gemma":[0.9991339,0.00010057048,0.00030295926,0.00025783046,0.00013431694,0.00007042159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010447509,0.00018005467,0.0003465899,0.00032585312,0.00018244618,0.00013858262,0.00027224328,0.00013977101,0.0006120978],"category_scores_gemma":[0.00021909682,0.000119370525,0.000020978074,0.00026377846,0.00081682624,0.0002472007,0.00020142185,0.00013919703,0.000049539278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023271171,0.00009507925,0.008526944,0.00002180444,0.000052938824,0.0000019133927,0.00063265045,0.0055490383,0.0040219086,0.5662051,0.00015000375,0.41450992],"study_design_scores_gemma":[0.0011806004,0.00050555496,0.0018206526,0.000038722275,0.000014658895,0.000057809768,0.0018728558,0.3655938,0.016564177,0.59806275,0.013633644,0.0006548035],"about_ca_topic_score_codex":9.705029e-7,"about_ca_topic_score_gemma":0.000004226821,"teacher_disagreement_score":0.4138551,"about_ca_system_score_codex":0.000041454132,"about_ca_system_score_gemma":0.00014663677,"threshold_uncertainty_score":0.67020416},"labels":[],"label_agreement":null},{"id":"W2901056090","doi":"10.3846/tede.2018.5694","title":"INTERNAL R&amp;amp;D AND EXTERNAL INFORMATION IN KNOWLEDGE-INTENSIVE BUSINESS SERVICE INNOVATION: COMPLEMENTS, SUBSTITUTES OR INDEPENDENT?","year":2018,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Industrial organization; Service (business); Order (exchange); Logistic regression; Marketing; Knowledge management; Computer science; Statistics; Mathematics; Finance","score_opus":0.0891580929911921,"score_gpt":0.2789543875510317,"score_spread":0.1897962945598396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901056090","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":[0.9779253,0.00008738264,0.006812124,0.0010851675,0.00018229087,0.00020945077,0.00003090265,0.000039986713,0.0136273885],"genre_scores_gemma":[0.9913211,0.000046255824,0.0072586047,0.0009580872,0.000054321874,0.000038872742,0.000047480135,0.0000068691843,0.00026841092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981675,0.0000052129103,0.0012899103,0.0002843453,0.000016047332,0.00023694453],"domain_scores_gemma":[0.9990661,0.000033699238,0.0005185784,0.00014966511,0.00019806314,0.00003387318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000547599,0.00017601848,0.0003839564,0.00075385877,0.000114313276,0.00007795932,0.00021431304,0.00017184945,0.00079960725],"category_scores_gemma":[0.00009772077,0.00016830383,0.000014206092,0.00040820666,0.00023730236,0.0007003454,0.00026655267,0.00015019473,0.00062896044],"study_design_candidate":"theoretical_or_conceptual","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":[0.0001707834,0.000093617346,0.16256785,0.00015369362,0.00008385241,7.9200737e-7,0.0017725991,0.0000065379004,0.00004943033,0.81160814,0.00075695757,0.022735776],"study_design_scores_gemma":[0.0022558311,0.00005961912,0.3184283,0.00012687914,0.000003430092,0.000043635122,0.0004678115,0.00072245963,0.00075032155,0.08377073,0.5927756,0.00059539103],"about_ca_topic_score_codex":0.0001506264,"about_ca_topic_score_gemma":0.00068125414,"teacher_disagreement_score":0.7278374,"about_ca_system_score_codex":0.00010720506,"about_ca_system_score_gemma":0.0000752911,"threshold_uncertainty_score":0.87551385},"labels":[],"label_agreement":null},{"id":"W2911995299","doi":"10.3846/tede.2019.7686","title":"NETWORK TOPOLOGY OF RENEWABLE ENERGY COMPANIES: MINIMAL SPANNING TREE AND SUB-DOMINANT ULTRAMETRIC FOR THE AMERICAN STOCK","year":2019,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Complex Systems and Time Series Analysis","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":"Shiraz University","keywords":"Renewable energy; Ultrametric space; Spanning tree; Wind power; Business; Environmental economics; Solar energy; Economics; Computer science; Econometrics; Mathematics; Engineering; Electrical engineering","score_opus":0.02768446468299792,"score_gpt":0.20647293650472864,"score_spread":0.17878847182173072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911995299","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":[0.9840481,0.0035605216,0.0072612986,0.000332525,0.00009597484,0.00028916236,0.000026393654,0.000021317208,0.00436468],"genre_scores_gemma":[0.99463695,0.00023425937,0.0045723207,0.00005558971,0.00002921568,0.00006345396,0.0000063530474,0.000011731162,0.00039012323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982438,0.000008226435,0.0009809724,0.00043750892,0.000012947179,0.00031655713],"domain_scores_gemma":[0.99845105,0.00034651364,0.0008740075,0.0002640326,0.000017843724,0.000046526977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005321959,0.00018324683,0.001004252,0.0002322436,0.0001237534,0.000028538389,0.0002595166,0.00009062382,0.00014886615],"category_scores_gemma":[0.0000274189,0.0001534477,0.000104209044,0.00017789437,0.00038747885,0.00008057176,0.00018006393,0.00006606328,0.000011279311],"study_design_candidate":"observational","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":[0.00034440475,0.00014124534,0.41334644,0.00020763332,0.001045388,7.7293413e-7,0.00029542574,0.0016778439,0.00020549826,0.50306505,0.0012125608,0.078457765],"study_design_scores_gemma":[0.003290623,0.0016443124,0.2669205,0.000089605615,0.00010120656,0.00003247388,0.0033526977,0.060520712,0.0031895838,0.112432346,0.5468725,0.0015534112],"about_ca_topic_score_codex":0.0007224028,"about_ca_topic_score_gemma":0.00030568466,"teacher_disagreement_score":0.54565996,"about_ca_system_score_codex":0.000056589048,"about_ca_system_score_gemma":0.00002734472,"threshold_uncertainty_score":0.6257416},"labels":[],"label_agreement":null},{"id":"W2977485423","doi":"10.3846/tede.2019.11094","title":"THE INNOVATION PROCESS IN LOCAL DEVELOPMENT – THE MATERIAL, INSTITUTIONAL, AND INTELLECTUAL INFRASTRUCTURE SHAPING AND SHAPED BY INNOVATION","year":2019,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Business and Economic Development","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Business; Statistical inference; Computer science","score_opus":0.013185733868244263,"score_gpt":0.19907078326090313,"score_spread":0.18588504939265887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977485423","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":[0.9972523,0.000055766148,0.0004971001,0.00055995275,0.000063169115,0.00033524496,0.0000018168671,0.000020735133,0.0012139013],"genre_scores_gemma":[0.9984354,0.000072123075,0.0011675516,0.00016610525,0.0000045834554,0.000075876684,0.000016949101,0.000005839791,0.000055604592],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99872726,0.0000087262715,0.0006634302,0.00034403638,0.00004311813,0.00021343848],"domain_scores_gemma":[0.9996265,0.000059037986,0.00018879857,0.00009465128,0.0000105185545,0.000020482283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006037533,0.00016677439,0.00020107876,0.00009821848,0.00026834488,0.00008059979,0.00018906307,0.00011944016,0.00041427178],"category_scores_gemma":[0.000028028628,0.00010896628,0.000005563194,0.00020050468,0.0005574146,0.00025659104,0.0003954294,0.00012714512,0.00003613359],"study_design_candidate":"observational","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":[0.00011546384,0.000061633524,0.2264294,0.00009952932,0.00006954263,6.775521e-7,0.002249284,0.00042289536,0.0020680535,0.023064096,0.0006196668,0.74479973],"study_design_scores_gemma":[0.0016164766,0.00007247757,0.63655704,0.000112033034,0.000006728752,0.000044741788,0.0036375567,0.0083113415,0.011257287,0.016415952,0.3210067,0.00096171093],"about_ca_topic_score_codex":0.000010729202,"about_ca_topic_score_gemma":0.00003356256,"teacher_disagreement_score":0.743838,"about_ca_system_score_codex":0.0002485625,"about_ca_system_score_gemma":0.00008640161,"threshold_uncertainty_score":0.45359853},"labels":[],"label_agreement":null},{"id":"W3088976571","doi":"10.3846/tede.2020.13376","title":"PREDICTORS OF INDUSTRY 4.0 TECHNOLOGIES AFFECTING LOGISTIC ENTERPRISES’ PERFORMANCE: INTERNATIONAL PERSPECTIVE FROM ECONOMIC LENS","year":2020,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Yorkville University","funders":"","keywords":"Perspective (graphical); Business; Industrial organization; Logistic regression; Industry 4.0; Emerging technologies; Industrial Revolution; Marketing; Computer science; Geography","score_opus":0.028282358316952888,"score_gpt":0.2149864680906104,"score_spread":0.1867041097736575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088976571","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":[0.94844645,0.00007080142,0.0007133066,0.0003156952,0.00018613588,0.00014594577,0.000064258726,0.0005273789,0.049530048],"genre_scores_gemma":[0.99810123,0.00009571674,0.0016987239,0.000013734096,0.00003084011,0.000025532536,0.000014856965,0.0000126186,0.0000067633573],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989618,0.0000034121338,0.00058090326,0.00024642798,0.000033190558,0.00017426076],"domain_scores_gemma":[0.999633,0.00006202386,0.00013484783,0.000113999246,0.000014693863,0.000041410218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008142177,0.00018534144,0.00032157495,0.00013310413,0.00003304438,0.00002628256,0.00034279653,0.00037796816,0.00020113454],"category_scores_gemma":[0.00002995079,0.00018655449,0.000042712112,0.00004134182,0.00026731525,0.00041320405,0.00015397684,0.00036555232,0.00004522398],"study_design_candidate":"observational","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":[0.00013128128,0.00014295112,0.8339786,0.00046803802,0.0019265508,0.0000051419215,0.003657185,0.02631529,0.0011031603,0.020317344,0.0011213019,0.11083316],"study_design_scores_gemma":[0.007003347,0.0009836463,0.15786377,0.00097454793,0.00019925766,0.00005261012,0.08952563,0.0996151,0.5371838,0.017573643,0.0845631,0.0044615297],"about_ca_topic_score_codex":0.000003848441,"about_ca_topic_score_gemma":0.0000017639786,"teacher_disagreement_score":0.6761148,"about_ca_system_score_codex":0.0002531198,"about_ca_system_score_gemma":0.000050765968,"threshold_uncertainty_score":0.76074713},"labels":[],"label_agreement":null},{"id":"W3108792264","doi":"10.3846/tede.2020.13742","title":"EVALUATION OF THE COORDINATION BETWEEN CHINA’S TECHNOLOGY AND ECONOMY USING A GREY MULTIVARIATE COUPLING MODEL","year":2020,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Interpretability; Computer science; Convergence (economics); Heuristic; China; Process (computing); Fuzzy logic; Multivariate statistics; Coupling (piping); Investment (military); Mathematical optimization; Artificial intelligence; Economics; Mathematics; Machine learning; Engineering; Geography; Economic growth; Political science","score_opus":0.21522110957723395,"score_gpt":0.3533190470349844,"score_spread":0.13809793745775045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108792264","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":[0.96793234,0.000060230308,0.027205564,0.0024721546,0.00001698746,0.0005744988,0.000009970153,0.00004136509,0.0016868784],"genre_scores_gemma":[0.9915888,0.0000010838068,0.008304144,0.000021826268,0.000009060932,0.000055644716,0.0000014604545,0.0000063107905,0.000011700191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981943,0.00004677184,0.0010047886,0.00047928357,0.00012639757,0.0001484545],"domain_scores_gemma":[0.9985944,0.0001619172,0.0007190672,0.00030208696,0.0001676162,0.00005490105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035827393,0.00014413129,0.00042781836,0.00027180856,0.00017606835,0.000044350072,0.00053914014,0.00018626775,0.000045731318],"category_scores_gemma":[0.0005441263,0.00010453905,0.000042253585,0.00027549823,0.00039259784,0.00023067214,0.00048770625,0.00012072566,0.000012946427],"study_design_candidate":"theoretical_or_conceptual","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":[0.0000355678,0.000100691585,0.26002336,0.00008109037,0.00031924152,2.2009169e-7,0.0017265647,0.043981817,0.0071546417,0.46421593,0.00005393367,0.22230692],"study_design_scores_gemma":[0.00046642715,0.000017422406,0.014532998,0.000016520715,0.000039552873,0.0000024383785,0.00047907647,0.6764378,0.0056017824,0.30180672,0.00045824968,0.00014102038],"about_ca_topic_score_codex":0.000004124906,"about_ca_topic_score_gemma":0.000004074081,"teacher_disagreement_score":0.63245595,"about_ca_system_score_codex":0.000113026064,"about_ca_system_score_gemma":0.00022342447,"threshold_uncertainty_score":0.42629787},"labels":[],"label_agreement":null},{"id":"W3215194498","doi":"10.3846/tede.2021.15704","title":"PARTIAL BACKORDERING INVENTORY MODEL WITH LIMITED STORAGE CAPACITY UNDER ORDER-SIZE DEPENDENT TRADE CREDIT","year":2021,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; City University of Hong Kong","keywords":"Warehouse; Economic shortage; Renting; Economic order quantity; Profit (economics); Order (exchange); Trade credit; Inventory management; Holding cost; Business; Computer science; Inventory cost; Operations research; Mathematical optimization; Microeconomics; Economics; Operations management; Mathematics; Finance; Marketing; Supply chain","score_opus":0.04021128618228279,"score_gpt":0.19556432568823423,"score_spread":0.15535303950595145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215194498","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":[0.9631448,0.000071800496,0.006398469,0.0014342418,0.00012208724,0.00025793203,0.0000025767513,0.00021431671,0.02835379],"genre_scores_gemma":[0.99211645,0.000020129373,0.0063186795,0.0009774766,0.000101116784,0.000073235606,0.000020392346,0.000022119266,0.00035038884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984865,0.0000073832352,0.0005157945,0.0005384811,0.00008482553,0.0003670178],"domain_scores_gemma":[0.9994088,0.00002854741,0.0002338638,0.00026067998,0.00003334529,0.000034805398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003041704,0.00027227245,0.00038980917,0.00015233467,0.00017427777,0.0001380763,0.00025112374,0.00014648437,0.0007489688],"category_scores_gemma":[0.000029061668,0.00024626593,0.00005141696,0.00013232685,0.00020635885,0.0005556793,0.00040773881,0.00017593472,0.000060714752],"study_design_candidate":"theoretical_or_conceptual","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":[0.00043625204,0.0020065499,0.082806386,0.0017418824,0.0016740575,0.00012484437,0.000593771,0.04716289,0.0025505894,0.8094447,0.006774163,0.04468387],"study_design_scores_gemma":[0.009058329,0.00014926314,0.024730798,0.0003582057,0.00030779812,0.00004347178,0.006647324,0.36091158,0.013235936,0.07451632,0.5061206,0.0039203614],"about_ca_topic_score_codex":0.000015401412,"about_ca_topic_score_gemma":0.00010711367,"teacher_disagreement_score":0.7349284,"about_ca_system_score_codex":0.00013856737,"about_ca_system_score_gemma":0.000094584255,"threshold_uncertainty_score":0.999999},"labels":[],"label_agreement":null},{"id":"W4200207099","doi":"10.3846/tede.2021.15335","title":"GLOBAL SUPPLY CHAIN RELATIONSHIP, LOCAL MARKET COMPETITION, AND SUPPLIERS’ INNOVATION IN DEVELOPING ECONOMIES","year":2021,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Supply chain; Industrial organization; Competition (biology); Business; Profit (economics); Market power; Cluster (spacecraft); Horizontal and vertical; Global value chain; Economic geography; Economics; Marketing; International trade; Microeconomics; Comparative advantage; Monopoly; Computer science","score_opus":0.01794564838190061,"score_gpt":0.21260347115055647,"score_spread":0.19465782276865587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200207099","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":[0.9469991,0.00005632888,0.0035586373,0.004352176,0.00012052122,0.00019891874,0.0000048861416,0.00007988472,0.044629548],"genre_scores_gemma":[0.98787457,0.00002761659,0.010388411,0.0013153518,0.00003727221,0.00005451533,0.00009814512,0.0000090744525,0.00019504667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99825567,0.000008284919,0.0010172282,0.0004276405,0.000033337576,0.00025782423],"domain_scores_gemma":[0.99942595,0.00005450929,0.00031347544,0.00012020843,0.00007309647,0.000012744754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073466485,0.00020273728,0.00037516592,0.0003893822,0.00017041323,0.00012899122,0.00012752805,0.00018489313,0.00062523974],"category_scores_gemma":[0.000057744604,0.00022382571,0.000021501502,0.00031994094,0.00025848145,0.00058333564,0.00030456943,0.00011331379,0.00006470766],"study_design_candidate":"observational","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":[0.000009995357,0.000019949695,0.30451027,0.000058212678,0.000018467237,0.0000019873112,0.000041398223,0.000011323297,0.0000033332826,0.68256164,0.00034534905,0.012418076],"study_design_scores_gemma":[0.0010955655,0.0000047727135,0.7080298,0.0000635434,0.0000059289005,0.0000124941835,0.0019324006,0.0011066196,0.00016142086,0.13044113,0.15667376,0.00047259114],"about_ca_topic_score_codex":0.000019626492,"about_ca_topic_score_gemma":0.00028136928,"teacher_disagreement_score":0.5521205,"about_ca_system_score_codex":0.00036740914,"about_ca_system_score_gemma":0.00022040117,"threshold_uncertainty_score":0.9127348},"labels":[],"label_agreement":null},{"id":"W4211123160","doi":"10.3846/tede.2022.16321","title":"THE TRADE-OFF BETWEEN CORPORATE SOCIAL RESPONSIBILITY AND COMPETITIVE ADVANTAGE: A BIFORM GAME MODEL","year":2022,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Natural Science Foundation of China","keywords":"Competitive advantage; Industrial organization; Corporate social responsibility; Business; Balance (ability); Context (archaeology); Investment (military); Microeconomics; Economics; Marketing","score_opus":0.04599524790931122,"score_gpt":0.2448183237135078,"score_spread":0.1988230758041966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211123160","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":[0.98916364,0.000069239664,0.000110069726,0.0020535416,0.000040311228,0.00038764658,0.000012693384,0.00011877366,0.008044067],"genre_scores_gemma":[0.9990074,0.0000106687185,0.0005389004,0.00015162521,0.000052102245,0.000085259504,0.000016439652,0.000012115981,0.00012549925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983957,0.000022292326,0.00076644507,0.0004394533,0.00007881398,0.00029730235],"domain_scores_gemma":[0.99872077,0.00018920022,0.00088403805,0.00016172613,0.000025471361,0.00001881241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020847293,0.00018743631,0.00038809597,0.00013565773,0.0009827444,0.000121138575,0.00026139803,0.000087057204,0.00006327635],"category_scores_gemma":[0.00012380294,0.00015889951,0.000059557995,0.00014029322,0.00056768383,0.00032247914,0.00106333,0.00027848032,0.000008851586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043891423,0.000101444355,0.20689328,0.00009190277,0.00012576794,0.000009380903,0.00038054626,0.000043932334,0.00016774023,0.45412135,0.00013100698,0.33749473],"study_design_scores_gemma":[0.0012432523,0.0000592188,0.1599461,0.000013265168,0.000056686687,0.00001055434,0.009030831,0.009421464,0.00021570481,0.6298368,0.18935646,0.00080965576],"about_ca_topic_score_codex":0.0000072579983,"about_ca_topic_score_gemma":0.000045570716,"teacher_disagreement_score":0.3366851,"about_ca_system_score_codex":0.00018922132,"about_ca_system_score_gemma":0.00017496961,"threshold_uncertainty_score":0.7558574},"labels":[],"label_agreement":null},{"id":"W4245935645","doi":"10.3846/13928619.2004.9637667","title":"THE EVALUATION MODEL OF CONSTRUCTION COMPANIES’ PERSONNEL SAFETY AND HEALTH SYSTEM","year":2004,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":3,"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":"Quarter (Canadian coin); Work (physics); Business; Economics; Economy; Geography; Engineering","score_opus":0.04710408555443135,"score_gpt":0.23220918766779935,"score_spread":0.185105102113368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245935645","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":[0.97940284,0.00023232844,0.005813437,0.0018655454,0.00010491849,0.0005668662,0.0000021568815,0.00009108155,0.011920828],"genre_scores_gemma":[0.99493563,0.00009282411,0.0048386115,0.0000611554,0.000024079203,0.000026219966,0.0000059798153,0.000005343378,0.000010159271],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904156,0.0000035933538,0.00053613377,0.00021295065,0.000050768955,0.00015502071],"domain_scores_gemma":[0.9993812,0.00001542365,0.00043805217,0.00012128243,0.000035242003,0.000008798357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010764807,0.00011352234,0.00025893666,0.000112653215,0.00030429388,0.000050557916,0.00014291986,0.00006104266,0.000006927958],"category_scores_gemma":[0.000014040656,0.00008707255,0.000023793604,0.000056720157,0.00025943373,0.0002769749,0.00018540713,0.000060919043,0.000011590273],"study_design_candidate":"theoretical_or_conceptual","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":[0.000023167502,0.000020053476,0.0034908936,0.00017482643,0.000029580831,6.345616e-8,0.00007170969,0.001815165,0.000006907843,0.86904556,0.000023484012,0.1252986],"study_design_scores_gemma":[0.007796513,0.00011783478,0.08443293,0.000580893,0.00013913019,0.000014800485,0.022468915,0.49817914,0.00044037594,0.34016538,0.04440523,0.0012588453],"about_ca_topic_score_codex":0.000072106894,"about_ca_topic_score_gemma":0.00006818159,"teacher_disagreement_score":0.5288802,"about_ca_system_score_codex":0.00017815756,"about_ca_system_score_gemma":0.00007063151,"threshold_uncertainty_score":0.35507154},"labels":[],"label_agreement":null},{"id":"W4255328108","doi":"10.3846/13928619.2007.9637813","title":"THE USE OF EXPLORATORY TUNNELS AS A TOOL FOR SCHEDULING AND COST ESTIMATION","year":2007,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Duration (music); Scheduling (production processes); Computer science; Excavation; Monte Carlo method; Estimation; Exploratory research; Project management; Track (disk drive); Operations research; Cost estimate; Engineering; Systems engineering; Operations management; Statistics; Geotechnical engineering","score_opus":0.040613951756539174,"score_gpt":0.2246681534651934,"score_spread":0.18405420170865422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255328108","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":[0.8585379,0.00016198527,0.14086092,0.000034203942,0.00005442335,0.00019209576,0.0000023434143,0.00007918133,0.000076926044],"genre_scores_gemma":[0.9412712,0.000110099354,0.058541287,0.000010063518,0.000006787631,0.000035697627,0.0000023583998,0.0000069959674,0.000015524749],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993948,0.0000018737281,0.00034447992,0.00010864065,0.000012806204,0.00013742],"domain_scores_gemma":[0.9996431,0.00017766701,0.00006313967,0.000077141165,0.000012453472,0.000026505195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035974022,0.000084778265,0.00014852545,0.000053794385,0.00009116972,0.0000175465,0.00006367713,0.00009437302,0.000003583155],"category_scores_gemma":[0.000046423058,0.00006565867,0.000017586284,0.000019373347,0.000052726118,0.00010035867,0.00004609224,0.00005578157,0.0000029945293],"study_design_candidate":"design_other","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":[0.000057236535,0.000027963277,0.00096454285,0.00018305852,0.00012391759,5.967574e-7,0.0003862533,0.017690377,0.0021852024,0.04915571,0.00007900638,0.9291461],"study_design_scores_gemma":[0.0016651533,0.00016071212,0.001654012,0.00017845765,0.000034216035,0.000019814284,0.00148095,0.65638906,0.1840888,0.036706693,0.11683512,0.0007870541],"about_ca_topic_score_codex":6.2420094e-7,"about_ca_topic_score_gemma":0.000004259616,"teacher_disagreement_score":0.9283591,"about_ca_system_score_codex":0.000033183154,"about_ca_system_score_gemma":0.000017877097,"threshold_uncertainty_score":0.2677483},"labels":[],"label_agreement":null},{"id":"W4366086793","doi":"10.3846/tede.2023.18551","title":"NONPARAMETRIC NUMERICAL APPROACHES TO PROBABILITY WEIGHTING FUNCTION CONSTRUCT FOR MANIFESTATION AND PREDICTION OF RISK PREFERENCES","year":2023,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Social Science Fund of China; National Natural Science Foundation of China; City University of Hong Kong","keywords":"Weighting; Nonparametric statistics; Construct (python library); Function (biology); Econometrics; Computer science; A-weighting; Mathematics; Statistics; Medicine; Biology","score_opus":0.30294977102701076,"score_gpt":0.31691030689014743,"score_spread":0.01396053586313667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366086793","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":[0.98597723,0.000016742768,0.012677364,0.000108317785,0.00011116216,0.00044171567,0.000063216714,0.000075838965,0.00052840775],"genre_scores_gemma":[0.9643932,0.000011955534,0.03546381,0.000005643089,0.0000111508,0.00008712248,0.00001159745,0.000004712106,0.000010815338],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808854,0.0000308914,0.0010494973,0.00057387317,0.0000808164,0.00017637337],"domain_scores_gemma":[0.99807566,0.0011267659,0.00048489074,0.00019290675,0.000048713227,0.00007108067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022575592,0.00013490541,0.00041446285,0.0005106157,0.00013749233,0.00007080502,0.00021744194,0.00014550761,0.000041259715],"category_scores_gemma":[0.0007962353,0.0001040001,0.00005015202,0.00030784722,0.00020046745,0.00021545574,0.00019792364,0.00008102886,0.000030302434],"study_design_candidate":"design_other","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":[0.000058524747,0.0000325682,0.12950782,0.0000138452815,0.000015021138,6.7598485e-8,0.00013390374,0.00018130789,0.000018692052,0.004143967,0.0000388619,0.8658554],"study_design_scores_gemma":[0.00040685124,0.000266057,0.3322885,0.000019190999,0.000020196074,0.0000038616986,0.0010526682,0.013435288,0.0007908022,0.64920247,0.0023299137,0.00018421195],"about_ca_topic_score_codex":0.000007693824,"about_ca_topic_score_gemma":0.000012664875,"teacher_disagreement_score":0.8656712,"about_ca_system_score_codex":0.000053175678,"about_ca_system_score_gemma":0.00006107715,"threshold_uncertainty_score":0.4241001},"labels":[],"label_agreement":null},{"id":"W4399332524","doi":"10.3846/tede.2024.20821","title":"INVESTIGATING THE EFFECTS OF COVID-19 ON TOURISM IN THE G7 COUNTRIES","year":2024,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":3,"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":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Tourism; 2019-20 coronavirus outbreak; Business; Economics; Geography; Virology; Biology; Medicine; Internal medicine; Outbreak; Infectious disease (medical specialty)","score_opus":0.03651939833454417,"score_gpt":0.3063026637330515,"score_spread":0.26978326539850733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399332524","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":[0.9301712,0.00058124424,0.000013758388,0.018437086,0.00009751109,0.00040153918,0.0000014731575,0.00005789065,0.050238315],"genre_scores_gemma":[0.99881154,0.00021394336,0.00030769993,0.0003740209,0.000028320446,0.00005383669,6.2610815e-7,0.0000030775122,0.00020691864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918324,0.000071858914,0.00025906783,0.00019402719,0.00008576438,0.00020604508],"domain_scores_gemma":[0.9983598,0.0013933281,0.00006788488,0.000122253,0.000007509506,0.000049252758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017897374,0.00008207665,0.00015973348,0.00012689232,0.00016175662,0.00006464482,0.00049383746,0.000096305535,0.00018884575],"category_scores_gemma":[0.00051427406,0.000048259353,0.000029144452,0.00008195013,0.0011666208,0.00010708467,0.00013945058,0.00018794661,0.000042805827],"study_design_candidate":"theoretical_or_conceptual","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":[0.000006449346,0.000038789516,0.0044404566,0.00021104325,0.000045824956,0.00003191653,0.009450053,0.000009593318,0.000020842415,0.96175504,0.0062669856,0.017723003],"study_design_scores_gemma":[0.00039262333,0.0001378651,0.0053272117,0.00017301479,0.000010348574,0.000002363016,0.01969934,0.00013841597,0.0015466054,0.19456223,0.77776843,0.00024155513],"about_ca_topic_score_codex":0.0003170925,"about_ca_topic_score_gemma":0.00020219156,"teacher_disagreement_score":0.7715014,"about_ca_system_score_codex":0.00023260637,"about_ca_system_score_gemma":0.00054216135,"threshold_uncertainty_score":0.4298463},"labels":[],"label_agreement":null}]}