{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"aa7a061959b2","filters":{"venue":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)"}},"results":[{"id":"W4205995079","doi":"10.1109/ieem50564.2021.9672858","title":"Condition Based Maintenance in Nuclear Power Plants: Limitations &amp; Practicality","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Prognostics; Nuclear power; Risk analysis (engineering); Nuclear power plant; Computer science; Systems engineering; Condition monitoring; Maintenance engineering; Condition-based maintenance; Reliability engineering; Engineering; Business","authors":[{"name":"R. Khurmi","is_ca":true},{"name":"K. Sankaranarayanan","is_ca":true},{"name":"Glenn Harvel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05773991256026858,"gpt":0.2556667876732132,"spread":0.1979268751129446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002144451,0.0002631543,0.0002470007,0.0003333646,0.00003726696,0.0001952868,0.0001547908,0.0001641821,0.0002407593],"category_scores_gemma":[0.0001674734,0.0003097788,0.00006770702,0.0002502979,0.00001463016,0.0001961838,0.00002624912,0.0004887931,0.00006974706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087561,"about_ca_system_score_gemma":0.00001824857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000132933,"about_ca_topic_score_gemma":0.00001047657,"domain_scores_codex":[0.9986393,0.00002347441,0.0003942518,0.0003280867,0.0003077373,0.0003071908],"domain_scores_gemma":[0.9994257,0.000124572,0.00004177664,0.0002243012,0.00006812031,0.0001155401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006154959,0.00009369857,0.00004119584,0.00009924079,0.0002739143,0.0001545129,0.0001184751,0.9493098,0.01349892,0.03038575,0.00243438,0.003528619],"study_design_scores_gemma":[0.001805675,0.00003474226,0.0008043314,0.0005405171,0.00002032656,0.00001979165,0.0002512195,0.8836321,0.0005186533,0.00004050006,0.1118813,0.0004508824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7454581,0.0002501927,0.1116863,0.005271935,0.02861623,0.001732073,0.0004197037,0.002481638,0.1040839],"genre_scores_gemma":[0.9984385,0.0001587258,0.000533747,0.00006830126,0.0002045256,0.00007562627,0.00006109863,0.0000436618,0.0004158064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2529804,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206411164","doi":"10.1109/ieem50564.2021.9672896","title":"Risk-averse Oil-spill Response Planning","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"CVAR; Oil spill; Expected shortfall; Stochastic programming; Preparedness; Integer programming; Risk analysis (engineering); Computer science; Linear programming; Operations research; Risk management; Business; Petroleum engineering; Mathematical optimization; Engineering; Economics; Mathematics","authors":[{"name":"Z. Liu","is_ca":true},{"name":"Hassan Sarhadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03380663946457085,"gpt":0.2380386450121979,"spread":0.204232005547627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003469433,0.0002312366,0.0001562375,0.0001642721,0.00008470467,0.0001501277,0.0001758313,0.0001233676,0.001297442],"category_scores_gemma":[0.0002009364,0.0002616923,0.00006495802,0.0002579494,0.00002427768,0.0001560127,0.0001200399,0.0003885906,0.0001778973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061711,"about_ca_system_score_gemma":0.00001176387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003642519,"about_ca_topic_score_gemma":0.000002635586,"domain_scores_codex":[0.9986302,0.0000385755,0.0002577506,0.0004168502,0.0003879514,0.0002686405],"domain_scores_gemma":[0.9994828,0.00007827026,0.0000694694,0.0002034811,0.0000258869,0.0001400543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002312625,0.00006250355,0.0007919095,0.00002758329,0.0002169121,0.0002449223,0.0002040775,0.9157833,0.03208752,0.003511922,0.002210406,0.04462769],"study_design_scores_gemma":[0.003701222,0.0002328348,0.01814358,0.0007218716,0.0001188113,0.00005876034,0.000515045,0.7241848,0.01737889,0.000109861,0.2335029,0.001331413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608231,0.00002764715,0.006985079,0.0007817054,0.004795191,0.0001348351,0.00003636529,0.0002624425,0.02615361],"genre_scores_gemma":[0.9934411,0.0002115232,0.001092376,0.00006831729,0.0003051177,0.00003771205,0.00002208836,0.00003028203,0.004791473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2312925,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206457505","doi":"10.1109/ieem50564.2021.9672852","title":"An Efficient Heuristic for the Two-echelon Multi-vendor Multi-buyer Optimization Problem","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Vendor; Mathematical optimization; Computer science; Heuristic; Schedule; Integer programming; Set (abstract data type); Linear programming; Operations research; Mathematics","authors":[{"name":"Ibrahim Najum","is_ca":true},{"name":"Nabil Nahas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07453157160346145,"gpt":0.268037652539565,"spread":0.1935060809361035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004557246,0.000363717,0.0002414078,0.0003640079,0.0001696039,0.0007418241,0.0004318495,0.0001011381,0.000253655],"category_scores_gemma":[0.0001308847,0.0003369039,0.00010762,0.0003360931,0.00002474177,0.00032629,0.0001525435,0.0002875916,0.00002902278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000112475,"about_ca_system_score_gemma":0.00001965757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005550243,"about_ca_topic_score_gemma":0.000007051084,"domain_scores_codex":[0.9982276,0.0000118007,0.000410228,0.0005591295,0.0003929209,0.0003983525],"domain_scores_gemma":[0.9991815,0.00008174058,0.0001241451,0.0003429302,0.0002222896,0.00004740938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003666812,0.0001682776,0.00003471036,0.0001278285,0.0002062753,0.0000216027,0.00003308409,0.951115,0.0004212517,0.04325531,0.0006454695,0.003934597],"study_design_scores_gemma":[0.002360526,0.00002286197,0.0001313616,0.0002169332,0.0001098986,0.000002027814,0.000231753,0.9724423,0.000153435,0.000018992,0.02393332,0.0003766321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008955176,0.00009809253,0.9762297,0.001943299,0.008004598,0.001564141,0.00003745658,0.0004151285,0.002752387],"genre_scores_gemma":[0.9726773,0.0001362938,0.02030194,0.0004766858,0.003121884,0.0006261352,0.0003022657,0.0001217792,0.002235698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9637222,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206458896","doi":"10.1109/ieem50564.2021.9672801","title":"Do Listed Ocean Tanker Companies Have Operational Skill? Empirical Evidence from Fleet and Voyage Data","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Earnings; Empirical evidence; Quarter (Canadian coin); Fleet management; Business; Econometrics; Operations research; Computer science; Finance; Transport engineering; Economics; Engineering; Geography","authors":[{"name":"Roar Ådland","is_ca":false},{"name":"T. Engen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1889742190851286,"gpt":0.3058954563552773,"spread":0.1169212372701487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002277101,0.0003709218,0.0003328138,0.0001904249,0.00006435657,0.0005611149,0.0004068591,0.0001781426,0.0005391648],"category_scores_gemma":[0.0002084088,0.0003954859,0.00003949889,0.0001426904,0.00003666526,0.0003302674,0.0002973146,0.0005023915,0.00001313308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008865292,"about_ca_system_score_gemma":0.00003185069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004286269,"about_ca_topic_score_gemma":0.000006858463,"domain_scores_codex":[0.9982044,0.00001930085,0.0004385004,0.000586485,0.0004389832,0.0003123663],"domain_scores_gemma":[0.9989882,0.0002119509,0.0000401992,0.0004733166,0.0001104385,0.0001759268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005611516,0.000106328,0.001863972,0.0002351006,0.001188625,0.0007465582,0.0003484784,0.9382919,0.001770971,0.008560643,0.03401027,0.01282102],"study_design_scores_gemma":[0.0006502474,0.00002835485,0.002472203,0.000595609,0.00007607365,0.00002289773,0.0001120458,0.9712141,0.0002665819,0.00003624168,0.02402488,0.0005007412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.776428,0.003527093,0.1625563,0.005192942,0.02208054,0.00154561,0.003372596,0.001968501,0.02332842],"genre_scores_gemma":[0.9935855,0.00131033,0.002485635,0.00006502999,0.001001006,0.00001777618,0.0006879074,0.00005534574,0.0007914507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2171575,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}