{"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":"785d31ac25fc","filters":{"venue":"1991 Winter Simulation Conference Proceedings."}},"results":[{"id":"W4242574932","doi":"10.1109/wsc.1991.185629","title":"Object oriented simulation with Smalltalk-80: a case study","year":2002,"lang":"en","type":"article","venue":"1991 Winter Simulation Conference Proceedings.","topic":"Simulation Techniques and Applications","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":"Université Laval; Université du Québec à Trois-Rivières","funders":"","keywords":"Smalltalk; Object-oriented programming; Computer science; Object (grammar); Blackboard (design pattern); Discrete event simulation; Programming language; Set (abstract data type); Plan (archaeology); Method; Referent; Focus (optics); Software engineering; Artificial intelligence; Simulation","authors":[{"name":"J.R. Drolet","is_ca":true},{"name":"C.L. Moodie","is_ca":false},{"name":"B. Montreuil","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1750779125172507,"gpt":0.4011099947236771,"spread":0.2260320822064264,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000884424,0.0003787149,0.0004256343,0.0005283748,0.0004869221,0.0008485587,0.0005316571,0.0001425738,0.002062851],"category_scores_gemma":[0.0008184064,0.00028407,0.0001179739,0.001815256,0.0001188429,0.001268218,0.0001544435,0.0002867448,0.0003228168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009152884,"about_ca_system_score_gemma":0.0000243529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008676076,"about_ca_topic_score_gemma":0.00007261111,"domain_scores_codex":[0.9959704,0.00006131212,0.00108792,0.001059748,0.001434169,0.0003864731],"domain_scores_gemma":[0.9953228,0.0006969782,0.0005650615,0.0005387419,0.002658149,0.0002182368],"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":[0.00037679,0.00268177,0.3619723,0.0000334255,0.0001893904,0.000314472,0.04771823,0.3875605,0.0002758382,0.005082374,0.002004575,0.1917903],"study_design_scores_gemma":[0.001122418,0.0005497646,0.006467234,0.00003228161,0.00004672932,0.0001001725,0.008138155,0.9737736,0.00006507259,0.001463779,0.007821778,0.0004190363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326113,0.00001134313,0.1579934,0.0002238898,0.00008625614,0.001505006,0.00001190834,0.00043738,0.007119546],"genre_scores_gemma":[0.9964377,0.000001312278,0.001431328,0.0001745547,0.000134411,0.0001454115,0.000008123169,0.00003773265,0.001629413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5862131,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234053868","doi":"10.1109/wsc.1991.185624","title":"Batching annealing operations to optimize queueing times and furnace efficiency: a simulation model","year":2002,"lang":"en","type":"article","venue":"1991 Winter Simulation Conference Proceedings.","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simulated annealing; Computer science; Discrete event simulation; Subroutine; Queueing theory; GPSS; Simulation language; Stochastic simulation; Adaptive simulated annealing; User Friendly; Simulation modeling; Mathematical optimization; Simulation; Real-time computing; Programming language; Algorithm; Computer network","authors":[{"name":"P. Lefrancois","is_ca":true},{"name":"P. L'Esperance","is_ca":true},{"name":"M. Turmel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03037608142778391,"gpt":0.2587913477400177,"spread":0.2284152663122338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001740536,0.0002535782,0.0002179313,0.0002425696,0.0002520899,0.0004750872,0.0001479208,0.0001158798,0.0001507087],"category_scores_gemma":[0.000168806,0.0002696225,0.00004263574,0.0003286967,0.00002676834,0.0007674949,0.00005230017,0.000206533,0.00003855666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006995871,"about_ca_system_score_gemma":0.000009452788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006903926,"about_ca_topic_score_gemma":0.000003068516,"domain_scores_codex":[0.9986973,0.00000821443,0.0003952595,0.0003620418,0.0002392972,0.0002978226],"domain_scores_gemma":[0.9992539,0.0000690845,0.00004349709,0.0001055355,0.0003520801,0.0001759294],"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":[0.000005413687,0.00001285754,0.0001021696,0.00002547656,0.00001327163,3.185181e-7,0.007958408,0.9879811,0.0002824951,0.0003207961,0.00004030061,0.003257349],"study_design_scores_gemma":[0.0003363409,0.00002723469,0.00004398534,0.0001194479,0.00001865625,0.000001953693,0.0004263038,0.998369,0.0001751003,0.00008251293,0.00007598117,0.00032352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1502642,0.00008957349,0.8459274,0.0002725904,0.0001464997,0.0002914036,0.000005779635,0.0005385898,0.002463964],"genre_scores_gemma":[0.8836101,0.00001944129,0.1157634,0.000160092,0.0001035506,0.0000211573,0.00000853861,0.0000415087,0.0002721495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7333459,"threshold_uncertainty_score":0.9999756,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4252582056","doi":"10.1109/wsc.1991.185663","title":"Parallel instance discrete-event simulation using a vector uniprocessor","year":2002,"lang":"en","type":"article","venue":"1991 Winter Simulation Conference Proceedings.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Speedup; Computer science; Uniprocessor system; Block (permutation group theory); Parallel computing; Selection (genetic algorithm); Discrete event simulation; Set (abstract data type); Representation (politics); Code (set theory); Theoretical computer science; Programming language; Artificial intelligence; Simulation; Multiprocessing; Mathematics","authors":[{"name":"James F. Ohi","is_ca":true},{"name":"Bruno R. Preiss","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.216531297379657,"gpt":0.4225247235806773,"spread":0.2059934262010203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007772142,0.0003671641,0.0004301732,0.0004124435,0.0004363203,0.0008399474,0.000837887,0.0002040366,0.002120237],"category_scores_gemma":[0.001261453,0.000314284,0.0001898724,0.001412395,0.000142224,0.001684305,0.0001704974,0.0002721005,0.0003173569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001581666,"about_ca_system_score_gemma":0.00003264266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001525718,"about_ca_topic_score_gemma":0.000006882548,"domain_scores_codex":[0.9958898,0.00004448071,0.001257863,0.000965521,0.001398602,0.0004437254],"domain_scores_gemma":[0.9961424,0.0005041978,0.00074311,0.0004620176,0.001933474,0.0002148211],"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":[0.00007178275,0.0001840629,0.009787674,0.0000240264,0.00002689312,0.00000122774,0.003566755,0.9462991,0.0007679893,0.01349705,0.0009500116,0.02482343],"study_design_scores_gemma":[0.000478847,0.00006102364,0.00350577,0.00007013394,0.00002087705,0.000002195207,0.0004622539,0.960563,0.0001720723,0.0118792,0.02240165,0.0003829911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2453893,0.0000671428,0.7458259,0.001097428,0.0001860806,0.0009021024,0.00002795292,0.0004101212,0.006094048],"genre_scores_gemma":[0.9903508,0.000008517291,0.00721318,0.0003212805,0.0002095528,0.00006314624,0.0000105934,0.00003799672,0.00178491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7449616,"threshold_uncertainty_score":0.9999309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}