{"meta":{"query_hash":"96b5b3abb704","filters":{"venue":"International Journal of Applied Management Science"},"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/96b5b3abb704","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Applied+Management+Science"},"results":[{"id":"W2005025237","doi":"10.1504/ijams.2013.051637","title":"Quantitative predictive capacity of human development index in wireless telephony operations","year":2013,"lang":"en","type":"article","venue":"International Journal of Applied Management Science","topic":"ICT Impact and Policies","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":"University of Calgary","funders":"","keywords":"Human Development Index; Per capita; Landline; Telecommunications; Mobile telephony; Wireless; Telephony; Proxy (statistics); Index (typography); Business; Computer science; Economics; Economic growth; Human development (humanity); Mobile radio","score_opus":0.01598327780225534,"score_gpt":0.2681678244604986,"score_spread":0.25218454665824325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005025237","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":[0.97685516,0.0000035303833,0.0075092865,0.000046854228,0.00020100377,0.00013475861,0.0000014910727,0.000010076591,0.015237854],"genre_scores_gemma":[0.99782825,0.000014221246,0.0020509285,0.000034589262,0.000024477104,0.000012083298,7.9334694e-7,0.000004989887,0.000029658439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99890584,0.0000043692303,0.00036449003,0.00004840255,0.00053969125,0.00013723818],"domain_scores_gemma":[0.99959236,0.000017264652,0.00008218155,0.000060064944,0.0002014851,0.000046610417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029206922,0.00007739468,0.00011352417,0.0005748317,0.00004477548,0.000065324544,0.0005115603,0.00001680522,0.000038607977],"category_scores_gemma":[0.0000070145957,0.000069253736,0.000020397816,0.00027737967,0.00015353897,0.00043846839,0.00006751539,0.00010047307,0.000009563645],"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":[0.000084157924,0.0003661793,0.009227789,0.00008266455,0.00050204096,0.000011028523,0.054658543,0.41368458,0.26755083,0.23940368,0.0009992869,0.013429237],"study_design_scores_gemma":[0.0020051994,0.00019692212,0.7135616,0.00029397197,0.000020121242,0.000011411258,0.010939797,0.041747753,0.22499031,0.005378902,0.00043591464,0.00041813566],"about_ca_topic_score_codex":0.000048590402,"about_ca_topic_score_gemma":0.000028523658,"teacher_disagreement_score":0.7043338,"about_ca_system_score_codex":0.0002009027,"about_ca_system_score_gemma":0.000037599457,"threshold_uncertainty_score":0.28240854},"labels":[],"label_agreement":null},{"id":"W2026238615","doi":"10.1504/ijams.2011.040230","title":"Synergy of chaos theory and artificial neural networks in chaotic time series forecasting","year":2011,"lang":"en","type":"article","venue":"International Journal of Applied Management Science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chaotic; Artificial neural network; Series (stratigraphy); Phase space; Embedding; Time series; Chaos theory; Computer science; Hénon map; Feedforward neural network; Logistic map; Applied mathematics; Mathematics; Algorithm; Artificial intelligence; Machine learning; Physics","score_opus":0.019653022950047366,"score_gpt":0.2294424575705151,"score_spread":0.20978943462046773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026238615","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":[0.3709641,0.000072805415,0.6067377,0.0008564406,0.001013767,0.00034687502,0.0000013037276,0.00003394261,0.019973053],"genre_scores_gemma":[0.98702705,0.000023647659,0.012718859,0.00011848676,0.00007130694,0.000005086526,2.2144908e-7,0.0000033270294,0.000032007938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884397,0.000015156215,0.00037530533,0.00018767142,0.00040728654,0.00017061514],"domain_scores_gemma":[0.99932975,0.00005512965,0.0003165686,0.00013729345,0.00010614513,0.000055140736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009848856,0.00007994932,0.000120836834,0.00030807793,0.000060357663,0.00008589812,0.0012345291,0.000015782942,0.000011828631],"category_scores_gemma":[0.000012090285,0.000068217625,0.000028967554,0.0004440309,0.00023252907,0.0005704127,0.0004131927,0.00009525967,0.0000012640295],"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":[0.00007332765,0.00006079576,0.000097914344,0.0000037008758,0.000017580856,0.00003379384,0.0003865323,0.0078023835,0.0009263685,0.8827796,0.000020287673,0.1077977],"study_design_scores_gemma":[0.000486287,0.00014802009,0.009734782,0.0000946938,0.000016930066,0.00012807739,0.00023455815,0.7683737,0.0041136243,0.21630175,0.00012605796,0.0002414666],"about_ca_topic_score_codex":0.0000027670735,"about_ca_topic_score_gemma":0.0000018941765,"teacher_disagreement_score":0.76057136,"about_ca_system_score_codex":0.000026342626,"about_ca_system_score_gemma":0.000014474097,"threshold_uncertainty_score":0.2781834},"labels":[],"label_agreement":null},{"id":"W2028006146","doi":"10.1504/ijams.2011.041320","title":"A note on a bulk arrivals quorum queuing system with an unreliable server","year":2011,"lang":"en","type":"article","venue":"International Journal of Applied Management Science","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","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":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Computer science; Service (business); Queueing theory; Function (biology); Work (physics); Operations research; Value (mathematics); Queueing system; Server; Epoch (astronomy); Mathematical optimization; Computer network; Distributed computing; Mathematics; Business","score_opus":0.015042307311941765,"score_gpt":0.24247808586876315,"score_spread":0.2274357785568214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028006146","genre_codex":"other","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":[0.44559512,0.000009853595,0.07545682,0.00059660757,0.001846282,0.00045776297,0.0000017641825,0.00020254162,0.47583324],"genre_scores_gemma":[0.99014866,0.000003442055,0.00818307,0.0010772485,0.00041836762,0.000008817604,0.0000014121403,0.000020771482,0.00013820628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99746764,0.000007127416,0.0004438508,0.00035792036,0.0014141946,0.00030927898],"domain_scores_gemma":[0.9982845,0.000025870191,0.000820581,0.0003234206,0.00050446886,0.000041138494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016888939,0.00019065797,0.00022260626,0.0011081088,0.00021287301,0.00038075773,0.0016960815,0.00002518095,0.000094404524],"category_scores_gemma":[0.000032212087,0.00014792221,0.00007187052,0.00083525805,0.00019236989,0.0023427368,0.00028337908,0.00015923035,0.00012323409],"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":[0.00092229835,0.00017604593,0.00023890541,0.000047295795,0.00014623257,0.00021831036,0.00017615558,0.028385933,0.00066376495,0.964872,0.000076199954,0.004076844],"study_design_scores_gemma":[0.023363013,0.0018790103,0.02524197,0.009258868,0.0032094368,0.0005109299,0.04138251,0.27359205,0.033794142,0.47444236,0.10613805,0.0071876417],"about_ca_topic_score_codex":0.000050270923,"about_ca_topic_score_gemma":0.000014982534,"teacher_disagreement_score":0.5445535,"about_ca_system_score_codex":0.00022531055,"about_ca_system_score_gemma":0.00002864144,"threshold_uncertainty_score":0.60320926},"labels":[],"label_agreement":null},{"id":"W2058069223","doi":"10.1504/ijams.2013.053710","title":"On the significance testing of fuzzy regression applied to the CAPM: Canadian commodity futures evidence","year":2013,"lang":"en","type":"article","venue":"International Journal of Applied Management Science","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Futures contract; Capital asset pricing model; Econometrics; Economics; Commodity; Probabilistic logic; Regression; Statistical hypothesis testing; Regression analysis; Financial economics; Statistics; Mathematics; Finance","score_opus":0.05459334942116007,"score_gpt":0.2989189028614622,"score_spread":0.24432555344030216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058069223","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":[0.7456836,0.000053613694,0.0163765,0.030134378,0.0026103752,0.0036054207,0.000019601795,0.00003839457,0.20147811],"genre_scores_gemma":[0.9877638,0.000008462421,0.011062881,0.0008794757,0.00015229892,0.000041625914,2.940678e-7,0.000007138176,0.00008399811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979118,0.00002539695,0.0004385309,0.00016910912,0.0012618823,0.0001932688],"domain_scores_gemma":[0.99790204,0.0006118248,0.0005475245,0.00030359582,0.00052414316,0.000110850466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001904555,0.00010964368,0.0001387507,0.00026823083,0.00029042247,0.00018792097,0.0017362221,0.00002193221,0.000049707804],"category_scores_gemma":[0.00048352254,0.000056995974,0.00003712131,0.0005020186,0.00015546136,0.00018425316,0.00015527326,0.00015227878,0.000020243418],"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":[0.0000725737,0.00007677722,0.00016978233,0.000046315014,0.00007012378,0.000008161176,0.0017983164,0.029499575,0.0051283794,0.89046776,0.05285716,0.019805053],"study_design_scores_gemma":[0.0018919697,0.00052915316,0.05535107,0.0048374822,0.00019681628,0.000062034946,0.02021991,0.020693485,0.032758996,0.85037184,0.011839883,0.0012473743],"about_ca_topic_score_codex":0.0011770864,"about_ca_topic_score_gemma":0.0006534679,"teacher_disagreement_score":0.24208023,"about_ca_system_score_codex":0.00021678214,"about_ca_system_score_gemma":0.000114900504,"threshold_uncertainty_score":0.32263616},"labels":[],"label_agreement":null},{"id":"W2953571263","doi":"10.1504/ijams.2019.10022349","title":"Relative efficiency measurement of Canadian mining companies","year":2019,"lang":"en","type":"article","venue":"International Journal of Applied Management Science","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Business; Computer science; Industrial organization","score_opus":0.016732761735793997,"score_gpt":0.21263642914452588,"score_spread":0.19590366740873189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953571263","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":[0.60392946,0.000029440856,0.007660497,0.000103626684,0.00095977564,0.00012475232,0.0000021892,0.000020334774,0.38716993],"genre_scores_gemma":[0.98608184,0.000045952358,0.013784707,0.000029962266,0.00002230553,0.0000012535397,2.2802811e-7,0.000005098462,0.000028655077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990138,0.000001608885,0.00028447807,0.000080756574,0.0004872119,0.00013214452],"domain_scores_gemma":[0.9995555,0.000009943608,0.00012745758,0.00009044188,0.0001541833,0.00006246316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074356305,0.00006106266,0.000105170984,0.0009543413,0.000023284218,0.00003546513,0.000644268,0.000013897996,0.000050522984],"category_scores_gemma":[0.0000063380185,0.000059366565,0.000030836174,0.00025893838,0.000060265167,0.00018863624,0.00005387646,0.00006271003,0.00001239228],"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":[0.00007058796,0.00008129826,0.0025366172,0.000094238174,0.00050197094,0.000033560005,0.0038653163,0.4906545,0.021406561,0.44964293,0.0047042463,0.026408171],"study_design_scores_gemma":[0.0062140618,0.00091555726,0.076531194,0.0022781289,0.00024873434,0.00014144501,0.014979283,0.45566052,0.1649587,0.028254978,0.2474068,0.0024105974],"about_ca_topic_score_codex":0.000087204884,"about_ca_topic_score_gemma":0.00013935409,"teacher_disagreement_score":0.42138794,"about_ca_system_score_codex":0.0003192306,"about_ca_system_score_gemma":0.00004563181,"threshold_uncertainty_score":0.24208982},"labels":[],"label_agreement":null}]}