{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"6ca03466fd46","filters":{"venue":"International Journal of Operations Research and Information Systems"}},"results":[{"id":"W1981172686","doi":"10.4018/ijoris.2014010106","title":"Modeling and Simulation Analyses of Healthcare Delivery Operations for Inter-Hospital Patient Transfers","year":2014,"lang":"en","type":"article","venue":"International Journal of Operations Research and Information Systems","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"","keywords":"Sizing; Health care; Operations research; Transfer (computing); Computer science; Operations management; Quality (philosophy); Engineering; Economics","authors":[{"name":"Chialin Chen","is_ca":true},{"name":"Samson X. Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07347885653805221,"gpt":0.4028758624374857,"spread":0.3293970058994335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073201,0.00008464886,0.0001759016,0.0006506274,0.0001376419,0.0002937199,0.0001278849,0.00006041852,0.00000309875],"category_scores_gemma":[0.0004259871,0.00007666984,0.00004337583,0.000156838,0.00004252071,0.00212701,0.00002148402,0.0001523039,7.828545e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008369714,"about_ca_system_score_gemma":0.00006420663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257087,"about_ca_topic_score_gemma":0.00001480694,"domain_scores_codex":[0.9983388,0.000124108,0.0008914942,0.00006229987,0.0004649382,0.000118343],"domain_scores_gemma":[0.9959283,0.0001903925,0.00005012032,0.00007561204,0.003664488,0.0000910185],"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":[0.00002576808,0.00001440609,0.00005022405,0.00006498982,0.00007039678,1.10908e-7,0.001860208,0.986201,0.0004836248,0.002294346,0.00001748816,0.008917401],"study_design_scores_gemma":[0.0004984681,0.0003754759,0.00003336016,0.0001215079,0.000007457673,0.00001120203,0.001804441,0.9960851,0.0005002206,0.00002069566,0.0004740364,0.00006800392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3505455,0.0001420127,0.6484112,0.0002600326,0.0002946967,0.0002335797,0.00004376542,0.0000109726,0.00005828454],"genre_scores_gemma":[0.9869272,0.0002580311,0.01261287,0.00002079767,0.0001050856,0.00002068781,0.00004227686,0.000008851444,0.000004202296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6363817,"threshold_uncertainty_score":0.3126506,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968869920","doi":"10.4018/joris.2013040104","title":"Generating Alternatives Using Simulation-Optimization Combined with Niching Operators to Address Unmodelled Objectives in a Waste Management Facility Expansion Planning Case","year":2013,"lang":"en","type":"article","venue":"International Journal of Operations Research and Information Systems","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Mathematical optimization; Set (abstract data type); Computer science; Operations research; Engineering; Mathematics","authors":[{"name":"Julian Scott Yeomans","is_ca":true},{"name":"Yavuz Günalay","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1760608947141021,"gpt":0.4569998194975224,"spread":0.2809389247834203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004429363,0.0001679952,0.0003434661,0.002775871,0.0005155783,0.003609866,0.0004980555,0.00005660704,0.00005226153],"category_scores_gemma":[0.00122943,0.0001172154,0.00004788582,0.001024029,0.00005666841,0.007528303,0.0002423427,0.000278218,0.0000177033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002648448,"about_ca_system_score_gemma":0.0001500012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000663479,"about_ca_topic_score_gemma":0.00005871938,"domain_scores_codex":[0.9942785,0.0005911824,0.001932748,0.0002487833,0.002696411,0.0002524071],"domain_scores_gemma":[0.9918993,0.0007721554,0.0003745503,0.0002452293,0.006506348,0.0002023955],"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":[0.0001668564,0.00003958106,0.001346271,0.000009212992,0.0000482182,0.00006928982,0.006068835,0.9890761,0.0001454596,0.0008586325,0.00006665756,0.002104907],"study_design_scores_gemma":[0.001130941,0.000228064,0.0003596451,0.0003264985,0.000002619032,0.0003900253,0.03516578,0.9619663,0.00003158843,0.00007428379,0.0001986145,0.0001256772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6249779,0.00008293064,0.3735005,0.00008070801,0.0002746718,0.0006865665,0.00001267352,0.00000621287,0.0003778085],"genre_scores_gemma":[0.9901072,0.000008051355,0.00956064,0.00005064181,0.0001164589,0.00005026034,0.000006028927,0.000007035061,0.00009367221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3651292,"threshold_uncertainty_score":0.9974245,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362704594","doi":"10.4018/ijoris.321119","title":"A Computational Comparison of Three Nature-Inspired, Population-Based Metaheuristic Algorithms for Modelling-to-Generate Alternatives","year":2023,"lang":"en","type":"article","venue":"International Journal of Operations Research and Information Systems","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Benchmark (surveying); Mathematical optimization; Construct (python library); Set (abstract data type); Population; Computer science; Metaheuristic; Algorithm; Mathematics","authors":[{"name":"Julian Scott Yeomans","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1021787136612811,"gpt":0.4263364513062902,"spread":0.324157737645009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001526935,0.0001418338,0.000306266,0.0019919,0.0002826804,0.0006282089,0.0007844139,0.00008604005,0.000003139686],"category_scores_gemma":[0.0007008532,0.0001272589,0.0000816609,0.0009803864,0.00006036204,0.003194273,0.0001233342,0.0002846867,0.00001501895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771663,"about_ca_system_score_gemma":0.000329204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008272343,"about_ca_topic_score_gemma":0.000009118256,"domain_scores_codex":[0.996704,0.0001251631,0.001214178,0.000179082,0.001551791,0.0002257787],"domain_scores_gemma":[0.9900393,0.0005878834,0.000370993,0.0001753926,0.008664119,0.0001622681],"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":[0.00005152873,0.00005875395,0.0004927038,0.00002331863,0.0000879236,0.000001568822,0.0005922298,0.9485337,0.00003024476,0.04654755,0.0001804477,0.003400072],"study_design_scores_gemma":[0.001000904,0.0002859337,0.001134944,0.00008680771,0.000004409472,0.00001648924,0.0002246599,0.9947388,0.0002907193,0.00102175,0.001078527,0.0001161165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0146083,0.0001104495,0.9823924,0.001006722,0.0009898292,0.0006377869,0.0001503335,0.00003745744,0.00006677394],"genre_scores_gemma":[0.7682512,0.00002473166,0.2312069,0.00006734487,0.0001540039,0.00007382644,0.0001765729,0.000009025463,0.00003640605],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7536429,"threshold_uncertainty_score":0.6057833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}