{"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":"bcb9f3c2b0e6","filters":{"venue":"1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274)"}},"results":[{"id":"W4252429658","doi":"10.1109/wsc.1998.745037","title":"Efficiency improvement by lattice rules for pricing Asian options","year":2002,"lang":"en","type":"article","venue":"1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274)","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Monte Carlo method; Variance reduction; Quasi-Monte Carlo method; Pseudorandom number generator; Lattice (music); Monte Carlo integration; Hybrid Monte Carlo; Computer science; Random number generation; Mathematical optimization; Lattice reduction; Control variates; Algorithm; Mathematics; Statistical physics; Markov chain Monte Carlo; Statistics; Physics","authors":[{"name":"Christiane Lemieux","is_ca":true},{"name":"Pierre L’Ecuyer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06412860772496791,"gpt":0.3120363863926768,"spread":0.2479077786677089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005732217,0.000474507,0.0005074418,0.000234362,0.0003860053,0.0004953568,0.0004193021,0.0002489327,0.001890215],"category_scores_gemma":[0.001353495,0.0004134074,0.0002197311,0.000285884,0.0001036309,0.000811761,0.00008648266,0.0001997411,0.0007138135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118088,"about_ca_system_score_gemma":0.0000343257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006772886,"about_ca_topic_score_gemma":0.000003936775,"domain_scores_codex":[0.9969955,0.00002283478,0.001138208,0.0006736972,0.0006016691,0.0005680661],"domain_scores_gemma":[0.9974262,0.0004211875,0.0005768791,0.0002851989,0.00108013,0.0002104607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001156837,0.002148031,0.0001046881,0.002018763,0.000198784,6.340215e-7,0.01586673,0.00005647783,0.03314369,0.8810372,0.03364837,0.03166093],"study_design_scores_gemma":[0.0009546645,0.0003706815,0.00001697507,0.0002669979,0.00009518411,0.000002615021,0.001186144,0.9057475,0.002344935,0.07955828,0.008978078,0.000477952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2615928,0.00001462727,0.6703973,0.002613551,0.0005114351,0.003496388,0.00008904398,0.0007455539,0.06053932],"genre_scores_gemma":[0.8010438,0.00001830934,0.187479,0.0004547835,0.0003474747,0.00047513,0.0001093827,0.0000918175,0.009980278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.905691,"threshold_uncertainty_score":0.9998318,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289256071","doi":"10.1109/wsc.1998.744904","title":"Uniform random number generators","year":2002,"lang":"en","type":"article","venue":"1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274)","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Random number generation; Implementation; Computer science; Random testing; Quality (philosophy); Theoretical computer science; Software engineering; Algorithm; Machine learning; Test case","authors":[{"name":"Pierre L’Ecuyer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02930256332238624,"gpt":0.2525648946539804,"spread":0.2232623313315942,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005790756,0.000652945,0.0005794819,0.0003857363,0.0003768083,0.001241465,0.001428566,0.0002976125,0.002024881],"category_scores_gemma":[0.0002817527,0.0006300135,0.0002735125,0.0009635397,0.0001625468,0.003385377,0.0003838054,0.0003587872,0.006237128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446138,"about_ca_system_score_gemma":0.0001091393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004666845,"about_ca_topic_score_gemma":0.000009165335,"domain_scores_codex":[0.995917,0.00005177826,0.0009720248,0.001218802,0.0009922398,0.0008481344],"domain_scores_gemma":[0.9970268,0.0002103724,0.0005093741,0.0005741214,0.001291332,0.0003880268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001547861,0.003406807,0.03152071,0.001320241,0.001131846,0.0001663577,0.05717966,0.03334432,0.2749469,0.1338727,0.1098725,0.3516902],"study_design_scores_gemma":[0.002627945,0.0001637909,0.0004899537,0.0001320202,0.00003494999,0.00002654783,0.00009566254,0.9756812,0.003657128,0.002394798,0.01393668,0.0007592446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3432459,0.00002180503,0.6112664,0.001380755,0.001796044,0.001146639,0.00001366024,0.001405554,0.0397233],"genre_scores_gemma":[0.9548386,0.0000304629,0.04053552,0.001046237,0.0007393781,0.00007692305,0.00002602641,0.00006247864,0.002644402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.942337,"threshold_uncertainty_score":0.9997953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253098222","doi":"10.1109/wsc.1998.745997","title":"Integrating neural networks with special purpose simulation","year":2002,"lang":"en","type":"article","venue":"1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274)","topic":"Industrial Technology 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":"University of Alberta","funders":"","keywords":"Computer science; Artificial neural network; Excavator; Process (computing); Simulation modeling; Artificial intelligence; Variation (astronomy); Machine learning; Engineering","authors":[{"name":"Dana El Hajjar","is_ca":true},{"name":"S. AbouRizk","is_ca":true},{"name":"K. Mather","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02261784798738994,"gpt":0.216385075759648,"spread":0.193767227772258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002421558,0.0005579843,0.0005545056,0.0002904141,0.0002662597,0.0003788829,0.0004215746,0.0006239322,0.0006240077],"category_scores_gemma":[0.0001567682,0.0005023236,0.0001294326,0.0005049626,0.0001230359,0.0009261291,0.00006203283,0.0006465074,0.0003151612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066917,"about_ca_system_score_gemma":0.00001704344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001588187,"about_ca_topic_score_gemma":0.00003330814,"domain_scores_codex":[0.9975653,0.00002614258,0.000787698,0.0005603794,0.0003819243,0.0006785179],"domain_scores_gemma":[0.9986792,0.000156282,0.0002623478,0.0002475312,0.0005056967,0.0001489041],"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":[0.0001897226,0.0000614834,0.004330032,0.00006881467,0.0001440405,0.00000885779,0.001860845,0.9390174,0.001200185,0.001220076,0.001176124,0.0507224],"study_design_scores_gemma":[0.001353066,0.0002290993,0.0002497238,0.0001948468,0.00005941053,0.000008948874,0.0003802105,0.9901973,0.0001028812,0.0001294815,0.006526113,0.0005689002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8065491,0.00004915126,0.1398337,0.0002854261,0.004198275,0.001974747,0.00001338493,0.002695414,0.04440083],"genre_scores_gemma":[0.9938946,0.000007780487,0.0007988727,0.00009373299,0.004378865,0.00008213304,0.00002678383,0.00008975078,0.0006274984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873455,"threshold_uncertainty_score":0.9997429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}