{"meta":{"query_hash":"49e0c58aff24","filters":{"venue":"International Conference on Industrial Engineering and Operations Management"},"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/49e0c58aff24","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Conference+on+Industrial+Engineering+and+Operations+Management"},"results":[{"id":"W3108819839","doi":"","title":"Optimal reinsurance and investment problem under fractional power utility function","year":2020,"lang":"en","type":"article","venue":"International Conference on Industrial Engineering and Operations Management","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reinsurance; Investment (military); Function (biology); Mathematical optimization; Computer science; Mathematics; Economics; Finance","score_opus":0.1293216208293079,"score_gpt":0.31930201811949266,"score_spread":0.18998039729018476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108819839","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":[0.4312306,0.0030361712,0.5298643,0.006540698,0.00039846016,0.00022093831,0.00044658422,0.00024180683,0.028020443],"genre_scores_gemma":[0.97554725,0.0005526217,0.014804803,0.00011032953,0.00007302275,0.0000635159,0.0000905036,0.00004941362,0.0087085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905866,0.00049653574,0.00003213761,0.00015223671,0.00008623633,0.0001741299],"domain_scores_gemma":[0.99788123,0.001466469,0.00017472218,0.00007677435,0.00023698599,0.00016375544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027582871,0.0010284294,0.0023962418,0.00097428606,0.0006723051,0.0029553685,0.001244695,0.00313511,0.0044201384],"category_scores_gemma":[0.0067361207,0.00089801126,0.001011816,0.0009877862,0.001179801,0.002961477,0.0011249138,0.0019997442,0.00015064453],"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":[0.00023828995,0.000080271115,0.00060695945,0.00016274484,0.000060484028,0.00042204908,0.00008715523,0.9165266,0.0012060624,0.071344376,0.001599286,0.0076656328],"study_design_scores_gemma":[0.000022344308,0.000044224562,0.00020607277,0.000017292296,0.000023462122,0.000049174665,0.000044380336,0.9814982,0.000278763,0.017447822,0.00035701864,0.000011274117],"about_ca_topic_score_codex":0.0049530854,"about_ca_topic_score_gemma":0.0019118085,"teacher_disagreement_score":0.0049530854,"about_ca_system_score_codex":0.0019344691,"about_ca_system_score_gemma":0.0016596619,"threshold_uncertainty_score":0.0147868395},"labels":[],"label_agreement":null},{"id":"W3109513473","doi":"","title":"Solving unconstrained minimization problems with a new hybrid conjugate gradient method","year":2020,"lang":"en","type":"article","venue":"International Conference on Industrial Engineering and Operations Management","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conjugate gradient method; Minification; Nonlinear conjugate gradient method; Computer science; Derivation of the conjugate gradient method; Mathematical optimization; Gradient method; Conjugate residual method; Applied mathematics; Mathematics; Algorithm; Gradient descent; Artificial intelligence; Artificial neural network","score_opus":0.1175550187998964,"score_gpt":0.32755968579418837,"score_spread":0.210004666994292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109513473","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039464184,0.00011465204,0.99394035,0.00007040728,0.00010946529,0.000034851673,0.000011947835,0.00011055977,0.0016613442],"genre_scores_gemma":[0.12627494,0.00024809164,0.8668401,0.00017999562,0.00017011783,0.0003069073,0.00007740127,0.00015288973,0.0057495073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994153,0.00024972405,0.00003062589,0.00005800776,0.00022113019,0.000025231027],"domain_scores_gemma":[0.99941754,0.0002821825,0.00004936267,0.00006728244,0.00014659275,0.000037107493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011128543,0.00078603136,0.00097104674,0.00064679445,0.00046442106,0.0009401477,0.0011710452,0.0015118568,0.002974597],"category_scores_gemma":[0.0014737339,0.0005829953,0.0008656977,0.0007561211,0.0008405429,0.0010947937,0.0016964298,0.0010327366,0.0007966669],"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":[0.00027610516,0.0002187923,0.00084230205,0.00034672106,0.00029804104,0.00017239744,0.00010627198,0.7664946,0.020625748,0.038709395,0.0033254174,0.1685843],"study_design_scores_gemma":[0.000022843642,0.000050455714,0.000086957625,0.0000049934965,0.000010879881,0.000028342904,0.000003850283,0.9953583,0.0009037761,0.0020891156,0.0014307795,0.000009568928],"about_ca_topic_score_codex":0.00091050065,"about_ca_topic_score_gemma":0.0011189,"teacher_disagreement_score":0.002974597,"about_ca_system_score_codex":0.00023415436,"about_ca_system_score_gemma":0.00072623935,"threshold_uncertainty_score":0.009951055},"labels":[],"label_agreement":null},{"id":"W3112731927","doi":"","title":"Comparison of conjugate gradient method on solving unconstrained optimization problems","year":2020,"lang":"en","type":"article","venue":"International Conference on Industrial Engineering and Operations Management","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conjugate gradient method; Computer science; Nonlinear conjugate gradient method; Conjugate; Mathematical optimization; Derivation of the conjugate gradient method; Gradient method; Conjugate residual method; Applied mathematics; Mathematics; Algorithm; Gradient descent; Artificial intelligence; Artificial neural network; Mathematical analysis","score_opus":0.2004435237611576,"score_gpt":0.3959218037650013,"score_spread":0.1954782800038437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112731927","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":[0.11237743,0.0031482961,0.86492175,0.00052220176,0.0007048407,0.00023246737,0.00015142758,0.0006604297,0.01728108],"genre_scores_gemma":[0.4963375,0.0014622522,0.49483418,0.0002857595,0.00019333574,0.00033029023,0.00040908376,0.00047271748,0.005674861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984945,0.00088401476,0.00007411835,0.00009954631,0.00036815478,0.00007966827],"domain_scores_gemma":[0.9963086,0.002422041,0.00009218091,0.00021955199,0.0008497681,0.000107845655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030180183,0.0011309163,0.0015566123,0.0012329145,0.0007188239,0.0012053301,0.001046626,0.0017303795,0.004229358],"category_scores_gemma":[0.007985834,0.00036128974,0.000893618,0.0013938327,0.00063091953,0.0012415105,0.0011145294,0.0010234592,0.0005141488],"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":[0.00083074457,0.00030935404,0.0013630746,0.00055589795,0.00024235374,0.00008630286,0.000096355696,0.8317305,0.0030377493,0.012673487,0.00278811,0.14628612],"study_design_scores_gemma":[0.00004768622,0.00014494536,0.0005771874,0.000016082815,0.000025489151,0.000025312365,0.000022932854,0.9955445,0.0010579993,0.0016681788,0.0008573281,0.000012372846],"about_ca_topic_score_codex":0.004527108,"about_ca_topic_score_gemma":0.0038829139,"teacher_disagreement_score":0.004527108,"about_ca_system_score_codex":0.0005079224,"about_ca_system_score_gemma":0.001579654,"threshold_uncertainty_score":0.015960991},"labels":[],"label_agreement":null},{"id":"W3118054843","doi":"","title":"Application of sharing economy to address shortage of medical equipment in covid-19 pandemic","year":2020,"lang":"en","type":"article","venue":"International Conference on Industrial Engineering and Operations Management","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Economic shortage; Business; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Virology; Medicine; Outbreak; Government (linguistics)","score_opus":0.23427888994016294,"score_gpt":0.4538380587258538,"score_spread":0.21955916878569087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118054843","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":[0.6849013,0.0031421604,0.080627635,0.018867237,0.0013849522,0.0009842151,0.00087209506,0.00068905053,0.2085314],"genre_scores_gemma":[0.9861109,0.00040135268,0.0063146004,0.0003005898,0.00009124818,0.00007103353,0.00014026651,0.000015765752,0.0065542334],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923587,0.00023253895,0.000032113654,0.00008838127,0.00018542804,0.00022561867],"domain_scores_gemma":[0.9989385,0.0002669919,0.00012774338,0.000051091185,0.0003821555,0.00023350139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010842996,0.00034337514,0.00030126533,0.0011373834,0.0010214492,0.00208062,0.0008685941,0.0008626567,0.009198217],"category_scores_gemma":[0.002975024,0.000109108645,0.00042036118,0.0007027348,0.00035164252,0.0019793618,0.0027201972,0.00057688,0.000504099],"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":[0.0007747186,0.0029458175,0.09013735,0.00075709634,0.00023611994,0.0020084116,0.0022581706,0.0800877,0.006723837,0.092494264,0.062251147,0.6593253],"study_design_scores_gemma":[0.00020800324,0.0018691099,0.09493657,0.00075203436,0.00043292047,0.0011281236,0.034879636,0.5952473,0.0066986205,0.103768714,0.15990053,0.00017846409],"about_ca_topic_score_codex":0.0033916072,"about_ca_topic_score_gemma":0.0035284443,"teacher_disagreement_score":0.009198217,"about_ca_system_score_codex":0.000983804,"about_ca_system_score_gemma":0.0031122316,"threshold_uncertainty_score":0.030771136},"labels":[],"label_agreement":null}]}