{"meta":{"query_hash":"90578f3a87c6","filters":{"venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/90578f3a87c6","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+Title%3A+Proceedings+of+the+2012+Winter+Simulation+Conference+%28WSC%29"},"results":[{"id":"W2025219663","doi":"10.1109/wsc.2012.6465323","title":"Tutorial: Advanced spatial systems with cellular discrete-event modeling and simulation","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"DEVS; Computer science; Asynchronous communication; Cellular automaton; Formalism (music); Distributed computing; Discrete event simulation; Grid; Theoretical computer science; Modeling and simulation; Simulation; Artificial intelligence; Computer network","score_opus":0.06849755973091684,"score_gpt":0.35184900951537623,"score_spread":0.28335144978445936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025219663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6240478,0.00023621155,0.34163624,0.00044435746,0.00095510203,0.0017546923,0.000023897033,0.00025673467,0.030644946],"genre_scores_gemma":[0.99664813,0.0000046997557,0.0009351994,0.000026187083,0.0003645063,0.00003819727,0.00000255959,0.000027525459,0.0019530061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979421,0.000007962325,0.00060154934,0.00036218276,0.00082094833,0.00026524864],"domain_scores_gemma":[0.99761087,0.00014447853,0.0005410863,0.0001571263,0.0014264857,0.000119954995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007891818,0.00021117863,0.00027772159,0.0001644827,0.0001724315,0.00028125304,0.0004311664,0.00012276889,0.00021877876],"category_scores_gemma":[0.0003860857,0.00013755787,0.000076171615,0.00040544328,0.00009440895,0.001287725,0.00016870289,0.00016589423,0.000045872217],"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":[0.0007309707,0.0005084544,0.104333915,0.0005057936,0.00019078753,2.0543897e-7,0.009396498,0.62899697,0.043759,0.14767298,0.0065908083,0.05731365],"study_design_scores_gemma":[0.00029185542,0.000048815164,0.000896106,0.00012769052,0.000039214992,0.0000016635771,0.0004953971,0.97562885,0.0023512496,0.003198987,0.016699962,0.00022022329],"about_ca_topic_score_codex":0.00001537716,"about_ca_topic_score_gemma":7.4870525e-7,"teacher_disagreement_score":0.37260032,"about_ca_system_score_codex":0.0000487335,"about_ca_system_score_gemma":0.000028603927,"threshold_uncertainty_score":0.56094474},"labels":[],"label_agreement":null},{"id":"W2147842035","doi":"10.1109/wsc.2012.6465033","title":"Dependent failures in highly reliable static networks","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Reliability engineering; Engineering","score_opus":0.08675001647970024,"score_gpt":0.33980891528321583,"score_spread":0.2530588988035156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147842035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7623666,0.0005150068,0.00885827,0.0030206342,0.0020404155,0.0014405936,0.000017145769,0.00017779843,0.22156356],"genre_scores_gemma":[0.99292976,0.000014847844,0.0009230396,0.00012819447,0.00017534534,0.000018818777,7.9428946e-7,0.00001840022,0.0057908245],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975447,0.0000103421835,0.0007340715,0.00037663625,0.00089227245,0.00044196242],"domain_scores_gemma":[0.9980308,0.000190145,0.000495377,0.00016580497,0.0009945001,0.00012339957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019994217,0.00020675617,0.00032520812,0.00022984773,0.00010251351,0.00023759922,0.00095350837,0.00016767604,0.0008906619],"category_scores_gemma":[0.0010284737,0.00013480654,0.000111354886,0.00062057545,0.00014525173,0.001823569,0.00031972124,0.00032130012,0.0002614765],"study_design_candidate":"simulation_or_modeling","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":[0.00042852608,0.0008677601,0.5992615,0.00037053166,0.00011622824,4.4350506e-7,0.013259315,0.021742696,0.0048104054,0.2156462,0.115221605,0.028274778],"study_design_scores_gemma":[0.0013959077,0.00016974639,0.05411665,0.00067873206,0.00010121426,0.000013225567,0.0025954559,0.6660778,0.006791704,0.16605215,0.10096834,0.0010390877],"about_ca_topic_score_codex":0.00002762687,"about_ca_topic_score_gemma":0.000009048329,"teacher_disagreement_score":0.6443351,"about_ca_system_score_codex":0.00007955002,"about_ca_system_score_gemma":0.00004795984,"threshold_uncertainty_score":0.97521234},"labels":[],"label_agreement":null},{"id":"W4212893074","doi":"10.1109/wsc.2012.6465165","title":"Simulation of mobile crane operations in 3D space","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Lift (data mining); Schedule; Process (computing); Computer science; Industrial engineering; Engineering; Simulation; Operations research; Artificial intelligence; Data mining","score_opus":0.01754669030034026,"score_gpt":0.24892054442089367,"score_spread":0.23137385412055342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212893074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.899721,0.0002956233,0.007223459,0.0000938306,0.0009912662,0.0007037854,0.00001442843,0.00017529531,0.09078129],"genre_scores_gemma":[0.9981934,0.0000124026255,0.0007093842,0.000011005549,0.00013220096,0.000026398477,0.000002300601,0.000020277317,0.000892648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916947,0.000002245024,0.00035151024,0.00011471574,0.00019037779,0.00017167545],"domain_scores_gemma":[0.9992878,0.000030366637,0.00010791262,0.000057416815,0.00047428624,0.000042209456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015801376,0.00013666302,0.00017221736,0.00015409979,0.000036537385,0.00003720818,0.000161018,0.00011356072,0.00064194284],"category_scores_gemma":[0.000084462874,0.00011441139,0.000055117922,0.00030098017,0.00006160017,0.00088791206,0.000034478893,0.0001571562,0.00004307606],"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":[0.000089486784,0.0002771887,0.083363295,0.001031177,0.00013219053,5.408659e-8,0.010964231,0.69461554,0.10721006,0.06194938,0.004342015,0.03602539],"study_design_scores_gemma":[0.00029607053,0.000032990123,0.0055888174,0.00021641528,0.00003312524,0.0000019540505,0.0005282243,0.9631795,0.020035181,0.00044536218,0.0094296085,0.00021273589],"about_ca_topic_score_codex":0.0000061211663,"about_ca_topic_score_gemma":0.0000029375055,"teacher_disagreement_score":0.268564,"about_ca_system_score_codex":0.000052428357,"about_ca_system_score_gemma":0.00001610452,"threshold_uncertainty_score":0.7028824},"labels":[],"label_agreement":null},{"id":"W4237170104","doi":"10.1109/wsc.2012.6465107","title":"Evaluating healthcare systems with insufficient capacity to meet demand","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Rockwell Automation","keywords":"Bottleneck; Flexibility (engineering); Queue; Computer science; Health care; Discrete event simulation; Queueing theory; Identification (biology); Operations research; Work (physics); Healthcare system; Risk analysis (engineering); Simulation; Engineering; Statistics; Mathematics; Computer network; Business; Economics","score_opus":0.19818578701217562,"score_gpt":0.4379541038388042,"score_spread":0.23976831682662855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237170104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95226866,0.00011113687,0.0040333876,0.002476395,0.0010970888,0.002221123,0.00002302221,0.00013528131,0.037633922],"genre_scores_gemma":[0.99335057,0.0000040448,0.003873956,0.00037465605,0.00040082273,0.00012588761,0.0000027899302,0.000034107135,0.0018331744],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815524,0.000031347583,0.0005797438,0.00026870225,0.00048300924,0.0004819512],"domain_scores_gemma":[0.99656725,0.000081810154,0.00045118434,0.00011055772,0.002564316,0.00022489182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013097608,0.00019482164,0.00027525195,0.00014303872,0.00053127034,0.00006315426,0.00025728732,0.00018161224,0.00024129597],"category_scores_gemma":[0.00047379202,0.00013364639,0.000042801876,0.0004453103,0.0000507857,0.00059022714,0.00012000181,0.00031840516,0.000116617484],"study_design_candidate":"simulation_or_modeling","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":[0.00046335848,0.00048790264,0.57155854,0.0053321086,0.00017298735,1.2122135e-7,0.0893923,0.020553507,0.009310906,0.26901385,0.030871008,0.0028434193],"study_design_scores_gemma":[0.0028602679,0.0013896966,0.06250266,0.009327522,0.00031121832,0.000019744737,0.022819385,0.8484893,0.0025320803,0.0010832215,0.04680544,0.0018594661],"about_ca_topic_score_codex":0.00007085757,"about_ca_topic_score_gemma":0.00001234058,"teacher_disagreement_score":0.8279358,"about_ca_system_score_codex":0.00019028534,"about_ca_system_score_gemma":0.00016494397,"threshold_uncertainty_score":0.5449942},"labels":[],"label_agreement":null},{"id":"W4238134598","doi":"10.1109/wsc.2012.6464998","title":"Allocation of simulation effort for neural network vs. regression metamodels","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Metamodeling; Computer science; Artificial neural network; Point (geometry); Regression; Sample (material); Regression analysis; Machine learning; Data mining; Statistics; Mathematics","score_opus":0.04650105166041181,"score_gpt":0.30030865259902395,"score_spread":0.25380760093861215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238134598","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34964237,0.0004967876,0.6114228,0.003174529,0.002351909,0.0037808034,0.00001954144,0.00046100866,0.028650269],"genre_scores_gemma":[0.9920022,0.000006484696,0.0066329334,0.00009798554,0.00035361765,0.00004577154,0.0000034566146,0.000018028832,0.00083951023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987453,0.0000033589122,0.0004149614,0.00025362842,0.00029176162,0.0002909422],"domain_scores_gemma":[0.99825007,0.00008447291,0.00056390365,0.00013969644,0.00088701304,0.00007485172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036267727,0.00017497137,0.0002302682,0.00007355931,0.00012531789,0.00008000306,0.00063916744,0.000103355735,0.000043646356],"category_scores_gemma":[0.00006731733,0.00012696032,0.00012722015,0.00038631278,0.000060202936,0.0014283316,0.00019720489,0.00012192166,0.000011110387],"study_design_candidate":"simulation_or_modeling","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":[0.00024408569,0.0004173277,0.024539342,0.00078570104,0.00016179364,2.9211588e-8,0.0027127573,0.2102505,0.02461332,0.6352648,0.044449467,0.056560874],"study_design_scores_gemma":[0.00021016343,0.000049727358,0.0032786415,0.00013888026,0.00004072111,0.0000011267184,0.000018623608,0.97488886,0.005892413,0.0059735426,0.009342874,0.00016441957],"about_ca_topic_score_codex":0.0000017672492,"about_ca_topic_score_gemma":2.277358e-7,"teacher_disagreement_score":0.76463836,"about_ca_system_score_codex":0.000027883847,"about_ca_system_score_gemma":0.000021089532,"threshold_uncertainty_score":0.51772916},"labels":[],"label_agreement":null},{"id":"W4241624295","doi":"10.1109/wsc.2012.6464997","title":"Methodology for synchronizing Discrete Event Simulation and System Dynamics models","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Synchronizing; Discrete event simulation; Computer science; System dynamics; Object-oriented modeling; Event (particle physics); Dynamics (music); Simulation; Artificial intelligence; Telecommunications; Programming language; Object-oriented programming; Physics","score_opus":0.25181650723018,"score_gpt":0.43341104405247877,"score_spread":0.18159453682229876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241624295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07678125,0.00012941836,0.89389855,0.000597886,0.00042250665,0.0013588263,0.000045009903,0.00018265402,0.026583914],"genre_scores_gemma":[0.98820156,0.000003156776,0.009632235,0.00004630981,0.00018491,0.00006175207,0.00000357021,0.000025084479,0.0018414241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982521,0.000012217977,0.0006403056,0.00034550528,0.00047543456,0.00027445063],"domain_scores_gemma":[0.99715424,0.0005770478,0.0006252543,0.00014060708,0.0014045323,0.0000983414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001681685,0.00018540978,0.0003011492,0.00018855011,0.00019092302,0.00017132347,0.0004697995,0.00015447538,0.00010563747],"category_scores_gemma":[0.00076364615,0.0001322378,0.0001262487,0.00035585384,0.00010765644,0.001192675,0.00020704094,0.00013089072,0.000023345588],"study_design_candidate":"simulation_or_modeling","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":[0.00011037902,0.000080360565,0.012272334,0.00032569445,0.000062441875,1.7018948e-8,0.0027459739,0.022381987,0.002566909,0.91869503,0.0037700105,0.036988873],"study_design_scores_gemma":[0.00018110486,0.000028602348,0.00093241123,0.00009145814,0.000044776345,0.0000024918481,0.00083882385,0.9589794,0.00099888,0.032349605,0.005393913,0.00015848284],"about_ca_topic_score_codex":0.000004350516,"about_ca_topic_score_gemma":7.862205e-7,"teacher_disagreement_score":0.93659747,"about_ca_system_score_codex":0.00010731486,"about_ca_system_score_gemma":0.000025271002,"threshold_uncertainty_score":0.5392501},"labels":[],"label_agreement":null},{"id":"W4242928183","doi":"10.1109/wsc.2012.6465291","title":"Constructing adapted lattice rules using problem-dependent criteria","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Lattice (music); Monte Carlo method; Computer science; Extensibility; Dimension (graph theory); Theoretical computer science; Algorithm; Mathematics; Combinatorics; Physics; Programming language; Statistics","score_opus":0.11455037815112376,"score_gpt":0.34728364551664737,"score_spread":0.2327332673655236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242928183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5992083,0.0000477294,0.013330428,0.0005785931,0.0005733239,0.0011383081,0.000022373248,0.00027058044,0.38483033],"genre_scores_gemma":[0.9359318,0.0000012593802,0.060555395,0.000048078386,0.00020839881,0.000015839983,0.0000021303235,0.000033566885,0.0032035199],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985333,0.0000072173643,0.0005516126,0.00020427044,0.00040736413,0.0002962547],"domain_scores_gemma":[0.9982364,0.000092627815,0.0005613697,0.00008727213,0.000930502,0.00009181548],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053825043,0.00021933511,0.00028438857,0.00010840576,0.000109715125,0.0001371785,0.00030007586,0.00013650116,0.0022392727],"category_scores_gemma":[0.00065339357,0.00015953006,0.00009718304,0.00018679358,0.000101675585,0.0010794776,0.0001387262,0.00021775489,0.00010201239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026767802,0.0001371495,0.0017463188,0.000704416,0.000050590632,2.5691799e-8,0.0022581313,0.0000012442498,0.008700873,0.9808401,0.0039243824,0.0016100073],"study_design_scores_gemma":[0.0011922845,0.00010661578,0.0005088225,0.0023109433,0.00044994414,0.00007200805,0.005380483,0.35092762,0.07227337,0.55559516,0.010036425,0.0011462889],"about_ca_topic_score_codex":0.0000031615355,"about_ca_topic_score_gemma":5.414426e-7,"teacher_disagreement_score":0.4252449,"about_ca_system_score_codex":0.000086734224,"about_ca_system_score_gemma":0.00002818096,"threshold_uncertainty_score":0.99867284},"labels":[],"label_agreement":null},{"id":"W4244288987","doi":"10.1109/wsc.2012.6465326","title":"Effective strategies for simulating one-of-a-kind construction projects","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cumulative Environmental Management Association; University of Alberta","funders":"","keywords":"Computer science; Process (computing); Global Positioning System; Domain (mathematical analysis); Discrete event simulation; Systems engineering; Proof of concept; Event (particle physics); Software engineering; Product (mathematics); Simulation; Engineering","score_opus":0.028083989578565244,"score_gpt":0.2567512608775631,"score_spread":0.22866727129899786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244288987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8460642,0.00014365253,0.01868469,0.000075602715,0.0016669021,0.0016066093,0.000024446223,0.00028867746,0.13144518],"genre_scores_gemma":[0.996993,0.000003176096,0.002383707,0.000009063561,0.0002847074,0.000053798893,0.000002132663,0.000025986714,0.00024440803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914116,0.0000023296386,0.00032303244,0.00013777945,0.00018656653,0.00020913305],"domain_scores_gemma":[0.9988584,0.0000556529,0.00024361514,0.000048917373,0.0007512243,0.000042183437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001775493,0.00016482463,0.00020397973,0.00012186512,0.00006768631,0.00006631324,0.00015211663,0.0001337136,0.00016868864],"category_scores_gemma":[0.0000983537,0.00013773021,0.000089752626,0.00021344329,0.000106033884,0.0010722174,0.0000320517,0.00014865407,0.000011645404],"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":[0.00028757393,0.00020915772,0.07242232,0.0041721542,0.00055598776,2.4106061e-8,0.013325554,0.0052340273,0.20708862,0.55831724,0.008242598,0.13014475],"study_design_scores_gemma":[0.0020328595,0.00034148042,0.020245938,0.001805534,0.00045721323,0.000023072502,0.010336013,0.5338453,0.37631455,0.03311832,0.020188428,0.0012912962],"about_ca_topic_score_codex":0.0000021995945,"about_ca_topic_score_gemma":8.6576523e-7,"teacher_disagreement_score":0.52861124,"about_ca_system_score_codex":0.000051192037,"about_ca_system_score_gemma":0.000027458696,"threshold_uncertainty_score":0.5616475},"labels":[],"label_agreement":null},{"id":"W4246995314","doi":"10.1109/wsc.2012.6465160","title":"Towards the smart construction site: Improving productivity and safety of construction projects using multi-agent systems, real-time simulation and automated machine control","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Productivity; Building information modeling; Control (management); Computer science; Construction site safety; Systems engineering; Construction industry; Construction management; Risk analysis (engineering); Engineering; Construction engineering; Civil engineering; Artificial intelligence; Operations management","score_opus":0.023146256105421734,"score_gpt":0.24473743795098257,"score_spread":0.22159118184556084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246995314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856075,0.00024068203,0.009310779,0.000064019565,0.0008389829,0.0010776274,0.000038284445,0.00030728348,0.0025148203],"genre_scores_gemma":[0.9979876,0.000017350894,0.001720471,0.000004096642,0.00014056162,0.000014823613,0.0000033895606,0.00002502354,0.000086648695],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891454,0.000012498494,0.00044081264,0.00020500319,0.00022776812,0.00019935778],"domain_scores_gemma":[0.9987696,0.000041815547,0.00039496116,0.00007601954,0.00066102075,0.000056594792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039820408,0.00021151977,0.00026232924,0.00012795071,0.00014316413,0.00009203469,0.000097724165,0.00014090615,0.00003959002],"category_scores_gemma":[0.0001284337,0.000152428,0.000046751993,0.00022497703,0.00024131831,0.00093456777,0.000053871034,0.00017637212,0.0000035780895],"study_design_candidate":"simulation_or_modeling","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":[0.00055343466,0.00017417474,0.30234697,0.0039221942,0.00057911815,1.0535876e-7,0.008901105,0.032349557,0.56265455,0.021433981,0.00045945932,0.06662534],"study_design_scores_gemma":[0.00046011756,0.000024157307,0.014793111,0.00017492802,0.000116104195,0.00003336682,0.00039736013,0.9787514,0.004738951,0.00005455087,0.00028731214,0.00016860984],"about_ca_topic_score_codex":0.00005012261,"about_ca_topic_score_gemma":0.000001749123,"teacher_disagreement_score":0.9464019,"about_ca_system_score_codex":0.00008329686,"about_ca_system_score_gemma":0.00003137511,"threshold_uncertainty_score":0.62158334},"labels":[],"label_agreement":null},{"id":"W4251094232","doi":"10.1109/wsc.2012.6465164","title":"Automatic generation of Dynamic Virtual Fences as part of BIM-based prevention program for construction safety","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Workspace; Collision; Deliverable; Computer science; Schedule; Set (abstract data type); Building information modeling; Real-time locating system; Engineering; Systems engineering; Real-time computing; Computer security; Robot; Operating system; Operations management","score_opus":0.11339984059803514,"score_gpt":0.45331541351521365,"score_spread":0.3399155729171785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251094232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709526,0.00007611225,0.004591768,0.0006659798,0.0013258476,0.004565241,0.00007385699,0.00010311622,0.01764551],"genre_scores_gemma":[0.99395406,0.000012343667,0.0045962106,0.0000316467,0.000229807,0.00022974872,0.00002890918,0.0000181359,0.00089913193],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982399,0.000022150809,0.0007998767,0.00018249555,0.0004356949,0.00031989883],"domain_scores_gemma":[0.9967863,0.00021426845,0.0009419076,0.00007486648,0.0018914642,0.00009122209],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000949865,0.0001400629,0.00027410756,0.0001579006,0.00021789302,0.000011914839,0.00021455184,0.00018173242,0.00094594137],"category_scores_gemma":[0.0005824908,0.000108496395,0.00009691172,0.0002901977,0.00016227445,0.0005435418,0.00005947684,0.00020055234,0.000032702173],"study_design_candidate":"simulation_or_modeling","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":[0.0017746005,0.0012356763,0.21683568,0.011570964,0.0002179659,1.7716982e-8,0.004827353,0.00020255787,0.034716226,0.20011394,0.008222741,0.52028227],"study_design_scores_gemma":[0.004033623,0.0024266008,0.1085792,0.0040584947,0.0002987678,0.0000033545077,0.0035525535,0.8114636,0.02973909,0.00972881,0.025407536,0.0007083722],"about_ca_topic_score_codex":0.000010486814,"about_ca_topic_score_gemma":0.0000032982605,"teacher_disagreement_score":0.81126106,"about_ca_system_score_codex":0.00009706347,"about_ca_system_score_gemma":0.00035020488,"threshold_uncertainty_score":0.99996734},"labels":[],"label_agreement":null},{"id":"W4252404389","doi":"10.1109/wsc.2012.6465285","title":"A large simulation experiment to test influenza pandemic behavior","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Pandemic influenza; Quarantine; Influenza pandemic; Coronavirus disease 2019 (COVID-19); Computer science; Test (biology); Intervention (counseling); Range (aeronautics); Simulation; Psychology; Medicine; Engineering; Biology; Aerospace engineering","score_opus":0.28276321889655764,"score_gpt":0.45141583415733677,"score_spread":0.16865261526077913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252404389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97568995,0.00012475355,0.0022392506,0.0004047874,0.00038688237,0.0014202348,0.000022390575,0.00029477393,0.019416986],"genre_scores_gemma":[0.9965165,0.0000038101525,0.0012342867,0.00047500458,0.00028407513,0.00011848313,9.178958e-7,0.00003434988,0.0013325227],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823946,0.0000063345897,0.00057704764,0.00031526256,0.00039186495,0.00047005987],"domain_scores_gemma":[0.9980208,0.0005209624,0.00044011432,0.00012000894,0.00074848003,0.00014957703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007285337,0.0002746286,0.00037874878,0.00011067775,0.00014506816,0.000059866434,0.00040953822,0.00016464618,0.0007907261],"category_scores_gemma":[0.004154572,0.00019574512,0.000133777,0.0002935173,0.000063894906,0.000576795,0.00042347543,0.00022337545,0.00020544147],"study_design_candidate":"observational","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":[0.00010923039,0.0010023849,0.91043144,0.00044093962,0.000096396245,9.808746e-8,0.010010908,0.00020394055,0.018346319,0.034925114,0.022458408,0.0019748323],"study_design_scores_gemma":[0.0039721085,0.0011337413,0.3779587,0.0021874586,0.0009567365,0.000014656262,0.0054314397,0.0847256,0.032015547,0.05336616,0.43472767,0.0035101888],"about_ca_topic_score_codex":0.000005273744,"about_ca_topic_score_gemma":0.000001440827,"teacher_disagreement_score":0.5324727,"about_ca_system_score_codex":0.00016089581,"about_ca_system_score_gemma":0.00002118102,"threshold_uncertainty_score":0.86578965},"labels":[],"label_agreement":null},{"id":"W4253608594","doi":"10.1109/wsc.2012.6465087","title":"DEVS-based Building Information Modeling and simulation for emergency evacuation","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Carleton University","funders":"","keywords":"DEVS; Computer science; Systems engineering; Modeling and simulation; Simulation; Engineering","score_opus":0.028702297761815678,"score_gpt":0.27703391267588234,"score_spread":0.24833161491406666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253608594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48979202,0.00011302888,0.4953128,0.00014042507,0.00073994737,0.00091845717,0.000016711618,0.00027071283,0.012695878],"genre_scores_gemma":[0.99679077,0.000009380412,0.002818478,0.00003323346,0.0001325259,0.000033041408,0.000009882878,0.000023328068,0.00014938095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991095,0.0000014721641,0.00037921724,0.00010123516,0.00020736046,0.00020123273],"domain_scores_gemma":[0.9989848,0.00003033188,0.00017136872,0.000045987195,0.0007076544,0.000059856822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000280321,0.00015352588,0.00012979968,0.0001425638,0.00008993551,0.00007330977,0.00013392138,0.00011109741,0.00012350306],"category_scores_gemma":[0.00018515116,0.00013591514,0.000060034712,0.00017784622,0.000019733508,0.0018400439,0.000032479566,0.00010278312,0.000017314695],"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":[0.00009434214,0.00004433084,0.010465556,0.0011499679,0.000068607114,3.7451056e-9,0.0028982149,0.9309395,0.010017961,0.025000094,0.001832796,0.017488653],"study_design_scores_gemma":[0.00031937638,0.000013869548,0.0007506769,0.00007239521,0.00003743863,3.3172594e-7,0.00012442197,0.99373615,0.0013176923,0.0011227848,0.0023484335,0.00015645816],"about_ca_topic_score_codex":9.741586e-7,"about_ca_topic_score_gemma":3.4089126e-7,"teacher_disagreement_score":0.5069987,"about_ca_system_score_codex":0.00005829881,"about_ca_system_score_gemma":0.000013768359,"threshold_uncertainty_score":0.5542458},"labels":[],"label_agreement":null},{"id":"W4255840354","doi":"10.1109/wsc.2012.6465100","title":"Modeling of Canadian Forces' northern operations and their staging","year":2012,"lang":"en","type":"article","venue":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Dozen; Computer science; Operations research; Contingency plan; Arctic; Position (finance); Contingency; The arctic; Decision support system; Engineering; Business; Computer security; Data mining; Geology; Mathematics","score_opus":0.0542847073908109,"score_gpt":0.2970703835023772,"score_spread":0.2427856761115663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255840354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5656598,0.00021878585,0.00049969583,0.00466454,0.00026665273,0.00041500584,0.000015829726,0.00004523448,0.4282144],"genre_scores_gemma":[0.9971779,0.00004364484,0.00021475494,0.00006755288,0.00019168615,0.0000057488687,4.1858289e-7,0.000010658797,0.0022876635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992968,0.0000032652974,0.00018927518,0.00010833946,0.00014942678,0.0002529092],"domain_scores_gemma":[0.9992524,0.000020173855,0.00008953896,0.00003406371,0.00049217336,0.00011169516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002933845,0.00009934389,0.00013735524,0.00015575609,0.00032912556,0.000048517817,0.00019435889,0.000065656335,0.00013057943],"category_scores_gemma":[0.00017577183,0.0000699528,0.000042664815,0.0002402388,0.00018664886,0.0005910308,0.00007264304,0.00009465107,0.000009566382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028442862,0.0000841946,0.23781568,0.00030967165,0.00019499527,2.916826e-8,0.33506033,0.0010030207,0.0017451721,0.40961865,0.0062462958,0.007893531],"study_design_scores_gemma":[0.001077087,0.00012887118,0.022158505,0.0013035329,0.0002896994,0.000005001201,0.16180392,0.61391133,0.0036502737,0.01926018,0.17491263,0.0014989455],"about_ca_topic_score_codex":0.009426292,"about_ca_topic_score_gemma":0.0057964637,"teacher_disagreement_score":0.6129083,"about_ca_system_score_codex":0.00004681315,"about_ca_system_score_gemma":0.00008878284,"threshold_uncertainty_score":0.99717003},"labels":[],"label_agreement":null}]}