{"meta":{"query_hash":"d28bd51178ee","filters":{"venue":"Proceedings of the 2010 Winter Simulation Conference"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/d28bd51178ee","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+2010+Winter+Simulation+Conference"},"results":[{"id":"W3140904222","doi":"10.1109/wsc.2010.5678921","title":"Incorporating healthcare systems in pandemic models","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"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 Toronto","funders":"Centre for Addiction and Mental Health","keywords":"Pandemic; Health care; Healthcare system; Public healthcare; Disease; Public health; Homogeneous; Influenza pandemic; Population; Coronavirus disease 2019 (COVID-19); Medicine; Medical emergency; Computer science; Infectious disease (medical specialty); Environmental health; Economic growth; Nursing; Economics; Mathematics","score_opus":0.3292416673496675,"score_gpt":0.41762260557115044,"score_spread":0.08838093822148296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140904222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45767075,0.0031821553,0.3977005,0.011798502,0.0011143682,0.00074756803,0.0038997936,0.000712908,0.1231735],"genre_scores_gemma":[0.9607446,0.0013044254,0.024557382,0.000644759,0.0001414381,0.00026766383,0.0005332584,0.00007938627,0.011727167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988979,0.00065732823,0.000039904782,0.000101041405,0.00012202086,0.00018179945],"domain_scores_gemma":[0.99818796,0.0010438222,0.00022923127,0.00013118253,0.00020036128,0.00020749214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011938239,0.00090985536,0.00087648974,0.00088020146,0.0009667714,0.0017587821,0.0016709722,0.002291169,0.008048656],"category_scores_gemma":[0.0065820604,0.0007712925,0.0009484667,0.0011807064,0.0010976886,0.0022082857,0.0020818224,0.0014463423,0.00063460856],"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":[0.000026004816,0.000040510648,0.0015518785,0.0000289301,0.000029892308,0.000076037846,0.00009097319,0.9648465,0.00012307675,0.02998926,0.00083461043,0.002362364],"study_design_scores_gemma":[0.00006519732,0.00005542049,0.0006017436,0.000020825717,0.00002720842,0.0000443082,0.00013468009,0.9665876,0.00009194497,0.027313748,0.005034015,0.000023338918],"about_ca_topic_score_codex":0.047580197,"about_ca_topic_score_gemma":0.033716,"teacher_disagreement_score":0.047580197,"about_ca_system_score_codex":0.0020772258,"about_ca_system_score_gemma":0.002298497,"threshold_uncertainty_score":0.09460646},"labels":[],"label_agreement":null},{"id":"W3142061845","doi":"10.1109/wsc.2010.5679055","title":"A movement options analysis simulation tool for the Canadian Operational Support Command","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","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":"Canadian Armed Forces; Defence Research and Development Canada","funders":"","keywords":"Computer science; Movement (music); Lift (data mining); Plan (archaeology); Asset (computer security); Operations research; Risk analysis (engineering); Simulation; Computer security; Engineering; Business; Data mining","score_opus":0.039203107906100064,"score_gpt":0.26953661004071816,"score_spread":0.2303335021346181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142061845","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025711756,0.0005281405,0.7301388,0.0018646835,0.00038643013,0.0012525197,0.029909343,0.020034077,0.19017437],"genre_scores_gemma":[0.22287907,0.0014010275,0.70039093,0.00039330576,0.000068002264,0.0025381937,0.019876942,0.0042106267,0.048241872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994143,0.000115086616,0.000030283933,0.000037556885,0.0003147702,0.00008804965],"domain_scores_gemma":[0.99849963,0.000565229,0.000058119997,0.00009390023,0.0006661632,0.00011693474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012962556,0.0010621996,0.00055093557,0.0016737873,0.0017979266,0.0015686107,0.0020609824,0.00085343025,0.039256055],"category_scores_gemma":[0.0045360927,0.0006754713,0.0009669772,0.0018126242,0.0004911038,0.0011518609,0.0013191792,0.00139096,0.0029852462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014103935,0.00010927151,0.003182513,0.00025116024,0.000084528474,0.00020824793,0.000388976,0.7605704,0.001673333,0.06387151,0.09698599,0.07253303],"study_design_scores_gemma":[0.00010378593,0.000023513148,0.000962827,0.000097175565,0.000025580228,0.000045680077,0.00011696887,0.8533692,0.0006292231,0.0074879574,0.13706565,0.00007245067],"about_ca_topic_score_codex":0.6798867,"about_ca_topic_score_gemma":0.75439644,"teacher_disagreement_score":0.3201133,"about_ca_system_score_codex":0.0075564794,"about_ca_system_score_gemma":0.018694779,"threshold_uncertainty_score":0.643997},"labels":[],"label_agreement":null},{"id":"W3142556707","doi":"10.1109/wsc.2010.5678889","title":"Dynamic adjustment of replenishment parameters using optimum-seeking simulation","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Scheduling and Optimization Algorithms","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Reorder point; Discrete event simulation; Heuristic; Supply chain; Computer science; Simulation-based optimization; Event (particle physics); Point (geometry); Mathematical optimization; Continuous simulation; Service level; Dynamic simulation; Operations research; Simulation; Economic order quantity; Engineering; Mathematics","score_opus":0.024406091638618756,"score_gpt":0.26477959635971454,"score_spread":0.24037350472109578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142556707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1044699,0.00011125289,0.88867474,0.00012527623,0.000023418179,0.00013787393,0.000054396372,0.00061661564,0.005786558],"genre_scores_gemma":[0.91906875,0.000078072226,0.08001186,0.000023966511,0.000004931658,0.00010588972,0.000047303776,0.000033085395,0.00062611944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954814,0.00020689754,0.000024679557,0.00005205569,0.000120469995,0.000047796788],"domain_scores_gemma":[0.9985083,0.0010776804,0.00012570262,0.000116394134,0.00012475818,0.00004714235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047395,0.00042714048,0.00068386365,0.00050281314,0.00030726317,0.00080197543,0.00077138917,0.0006366094,0.0012773315],"category_scores_gemma":[0.0036011264,0.00041479548,0.00043315574,0.00034091476,0.00051693013,0.0007526916,0.0005842667,0.00060477253,0.0001477263],"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":[0.00002738543,0.000019492987,0.00021979821,0.0000083088735,0.0000054671546,0.000011700361,0.000015070974,0.9950147,0.000553493,0.001316756,0.00003512136,0.0027727156],"study_design_scores_gemma":[0.0000076119836,0.000009589578,0.000023000037,0.0000012853126,0.0000017823215,0.000002553691,0.0000021981443,0.9991792,0.00026703076,0.00042021435,0.00008340423,0.0000021673472],"about_ca_topic_score_codex":0.0040160036,"about_ca_topic_score_gemma":0.0023602422,"teacher_disagreement_score":0.0040160036,"about_ca_system_score_codex":0.0006404494,"about_ca_system_score_gemma":0.0008006579,"threshold_uncertainty_score":0.007985294},"labels":[],"label_agreement":null},{"id":"W3144676298","doi":"10.1109/wsc.2010.5678966","title":"American option pricing with randomized quasi-Monte Carlo simulations","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":15,"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":"Variance reduction; Monte Carlo method; Control variates; Variance (accounting); Monte Carlo methods for option pricing; Importance sampling; Quasi-Monte Carlo method; Computer science; Sample (material); Monte Carlo integration; Decomposition; Econometrics; Mathematics; Markov chain Monte Carlo; Statistics; Hybrid Monte Carlo; Economics; Accounting; Physics","score_opus":0.034242580335185596,"score_gpt":0.3044376275378111,"score_spread":0.27019504720262555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144676298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10362687,0.00042361402,0.89212805,0.0004924656,0.000091635935,0.00009879882,0.00005526789,0.00042319568,0.0026600398],"genre_scores_gemma":[0.7770209,0.0001807077,0.22092487,0.00016271412,0.00007629137,0.00025170765,0.000092391485,0.00010626429,0.0011841973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9917956,0.0069391676,0.000131548,0.00022014228,0.0007043941,0.00020907432],"domain_scores_gemma":[0.95184433,0.041486282,0.0018502466,0.0022406536,0.0021805912,0.00039781505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011598428,0.00061008945,0.0012164199,0.0008793213,0.00047171724,0.0014645611,0.0017346357,0.0012131366,0.0025512497],"category_scores_gemma":[0.03730388,0.0006450373,0.0007462832,0.0010579342,0.0015415738,0.0017479272,0.0008763474,0.0015669082,0.0002301097],"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":[0.00015629646,0.00008904248,0.0006186487,0.000040404797,0.000059768267,0.000028638673,0.00002588004,0.95338255,0.0003659309,0.039941996,0.00032654236,0.004964243],"study_design_scores_gemma":[0.000010913354,0.000012885086,0.00003573689,0.0000017958322,0.0000030007945,0.0000021761048,0.0000017484577,0.99737275,0.00007389336,0.0024355294,0.000046721885,0.0000027832039],"about_ca_topic_score_codex":0.008579346,"about_ca_topic_score_gemma":0.006019104,"teacher_disagreement_score":0.011598428,"about_ca_system_score_codex":0.0010449577,"about_ca_system_score_gemma":0.001602661,"threshold_uncertainty_score":0.06133908},"labels":[],"label_agreement":null},{"id":"W3147932422","doi":"10.1109/wsc.2010.5678991","title":"Rise: Rest-ing heterogeneous simulations interoperability","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Interoperability; DEVS; Computer science; Synchronization (alternating current); Modeling and simulation; High-level architecture; Domain (mathematical analysis); Distributed computing; Discrete event simulation; Software engineering; Web service; Simulation modeling; Simulation; World Wide Web; Computer network","score_opus":0.10589625469525822,"score_gpt":0.38931070201220386,"score_spread":0.28341444731694565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147932422","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056666033,0.00007481517,0.97459203,0.0002762862,0.00007239333,0.000116006704,0.00015706204,0.013712018,0.005332801],"genre_scores_gemma":[0.40083253,0.0005129852,0.57761174,0.0008295834,0.00015634947,0.00093697483,0.0032142736,0.006109234,0.009796243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99645567,0.0015630934,0.000332938,0.0004178233,0.0008939366,0.00033647247],"domain_scores_gemma":[0.9946569,0.0014632071,0.00017680677,0.002955386,0.00045963455,0.00028819524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005539408,0.0011047691,0.001052928,0.00080120016,0.0012556871,0.003448435,0.0035678549,0.0018917576,0.0048497524],"category_scores_gemma":[0.009517414,0.0008831965,0.002067304,0.0005610275,0.0020475422,0.004674522,0.00829181,0.0030058743,0.001791836],"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":[0.0010066015,0.00036135264,0.0033356894,0.0003644282,0.0004243129,0.0011394394,0.0011008306,0.3538948,0.019439342,0.46802554,0.022686057,0.12822159],"study_design_scores_gemma":[0.00014411751,0.00008082463,0.0003266014,0.00006099381,0.00006610203,0.00014962943,0.00007643046,0.80096763,0.017313322,0.13251299,0.048233297,0.000068120906],"about_ca_topic_score_codex":0.002835323,"about_ca_topic_score_gemma":0.0020388132,"teacher_disagreement_score":0.005539408,"about_ca_system_score_codex":0.00092253654,"about_ca_system_score_gemma":0.0014588527,"threshold_uncertainty_score":0.029295504},"labels":[],"label_agreement":null},{"id":"W3149574267","doi":"10.1109/wsc.2010.5678930","title":"Integrated agent-oriented modeling and simulation of population and healthcare delivery network: Application to COPD chronic disease in a Canadian region","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport; Canada Research Chairs; Georgia Institute of Technology","keywords":"Population; Health care; Computer science; COPD; Healthcare delivery; Pulmonary disease; Disease; Distributed computing; Business; Medicine; Environmental health; Economics","score_opus":0.04596350100031928,"score_gpt":0.2763031732188101,"score_spread":0.2303396722184908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149574267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7308861,0.0012806613,0.21103776,0.0056549795,0.00013669887,0.0003976057,0.0031258785,0.00063258247,0.046847705],"genre_scores_gemma":[0.96640915,0.0005026636,0.026684921,0.00015499946,0.000021324271,0.00013021404,0.00048103338,0.000035589444,0.0055802017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949336,0.00021820716,0.000015810749,0.000067767316,0.00008101881,0.00012374716],"domain_scores_gemma":[0.9988356,0.00050924864,0.00010117454,0.000045796267,0.0002995699,0.0002085052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010110413,0.00069317926,0.00075025717,0.00073342014,0.00162204,0.0019013761,0.0020504734,0.0015717862,0.0022023094],"category_scores_gemma":[0.0031320374,0.00038797403,0.0007430069,0.0013526516,0.0011160382,0.000686192,0.0013715866,0.0010674918,0.00014287188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023403149,0.000021943477,0.003036617,0.00000946595,0.000021521351,0.00006582174,0.00009313006,0.9834387,0.00008538739,0.011485736,0.0003791133,0.0013390799],"study_design_scores_gemma":[0.00001774151,0.000008242288,0.0008327234,0.000004342734,0.000009205728,0.000008378154,0.00008918487,0.9964334,0.000030348368,0.0017561826,0.0008016781,0.00000850867],"about_ca_topic_score_codex":0.9370397,"about_ca_topic_score_gemma":0.8713813,"teacher_disagreement_score":0.06296033,"about_ca_system_score_codex":0.015327729,"about_ca_system_score_gemma":0.013143957,"threshold_uncertainty_score":0.1266622},"labels":[],"label_agreement":null},{"id":"W3151294661","doi":"10.1109/wsc.2010.5679111","title":"Managing simulation Workflow patterns using dynamic service-oriented compositions","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","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":"Carleton University","funders":"","keywords":"Workflow; Workflow technology; Computer science; Workflow engine; Workflow management system; Interoperability; Middleware (distributed applications); Windows Workflow Foundation; Component (thermodynamics); Software engineering; Web service; Business process; Workflow Management Coalition; Business process management; XPDL; Server; Service (business); Database; World Wide Web; Engineering; Work in process","score_opus":0.02699632963796933,"score_gpt":0.2642854433716862,"score_spread":0.23728911373371686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151294661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05303403,0.000085982036,0.9322535,0.00028675277,0.0000644276,0.00059467036,0.00009553044,0.0078803,0.0057048704],"genre_scores_gemma":[0.22103,0.00021727459,0.7716646,0.00010308999,0.000032617107,0.0005497118,0.0006620674,0.000869168,0.0048714546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718493,0.00075205084,0.00039650273,0.0003778885,0.001039255,0.00024936596],"domain_scores_gemma":[0.99657744,0.0010344009,0.0003417878,0.0010853069,0.00058688957,0.0003741699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047610956,0.0010737107,0.00094303774,0.0015965209,0.0019942475,0.0036351439,0.0026203538,0.0014642823,0.0024520084],"category_scores_gemma":[0.0067077857,0.00093268615,0.0015071701,0.0015250455,0.0011756098,0.002608203,0.0027735427,0.0013653836,0.0011850359],"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":[0.0011638659,0.0015621533,0.014835816,0.000513932,0.00048541583,0.0024518652,0.00484946,0.34641454,0.067132086,0.12517463,0.008569362,0.42684695],"study_design_scores_gemma":[0.00014279739,0.00010018978,0.0008931982,0.000066141496,0.000120256176,0.0004674731,0.00044802643,0.8704342,0.030035531,0.061351463,0.035838664,0.000102091144],"about_ca_topic_score_codex":0.004596518,"about_ca_topic_score_gemma":0.0051298533,"teacher_disagreement_score":0.0047610956,"about_ca_system_score_codex":0.0013506339,"about_ca_system_score_gemma":0.0026446132,"threshold_uncertainty_score":0.025179386},"labels":[],"label_agreement":null},{"id":"W3151950615","doi":"10.1109/wsc.2010.5679010","title":"Developing complex distributed simulation for industrial plant construction using High Level Architecture","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reusability; High-level architecture; Discrete event simulation; Architecture; Computer science; Systems engineering; Process (computing); Event (particle physics); Distributed computing; Software engineering; Engineering; Simulation; Operating system; Software","score_opus":0.4091336964585015,"score_gpt":0.4175994968354569,"score_spread":0.008465800376955379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151950615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060085148,0.00004599596,0.93376064,0.000116798125,0.000023330234,0.00015165523,0.00008016209,0.0009926533,0.0047436054],"genre_scores_gemma":[0.54819876,0.00015594254,0.4477102,0.00003902265,0.000011703277,0.0003886367,0.00025455316,0.00016669894,0.0030745117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972576,0.000109779525,0.000015746611,0.00003586246,0.00008376313,0.000029094224],"domain_scores_gemma":[0.9992761,0.00043099507,0.00004417992,0.00010170935,0.00009900538,0.00004807655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007824107,0.0005784266,0.0005247086,0.0004181963,0.00061718153,0.0010736417,0.0011142954,0.0010990085,0.0029501882],"category_scores_gemma":[0.0017587251,0.00046644435,0.00072100153,0.00046850042,0.0007008587,0.0007786438,0.0010021906,0.00092185417,0.0003304188],"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":[0.00000996593,0.0000184126,0.00038988728,0.000014185665,0.00000864341,0.000019494839,0.000039409282,0.9919408,0.0010025753,0.0036221864,0.00007745491,0.0028570383],"study_design_scores_gemma":[0.0000114482755,0.000008471922,0.00005204208,0.0000020291855,0.0000028842715,0.000004440132,0.000008450354,0.9975243,0.000551262,0.0011456282,0.0006865914,0.0000023760422],"about_ca_topic_score_codex":0.013339174,"about_ca_topic_score_gemma":0.013438158,"teacher_disagreement_score":0.013339174,"about_ca_system_score_codex":0.0011454053,"about_ca_system_score_gemma":0.0016246306,"threshold_uncertainty_score":0.026523054},"labels":[],"label_agreement":null},{"id":"W4235627963","doi":"10.1109/wsc.2010.5678932","title":"Use of simulation in support of analysis and improvement of blood collection process","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Data collection; Blood collection; Process (computing); Computer science; Analytic hierarchy process; Order (exchange); Operations research; Risk analysis (engineering); Process management; Systems engineering; Engineering; Medicine; Medical emergency; Operating system","score_opus":0.06054290415251639,"score_gpt":0.3636560595038704,"score_spread":0.303113155351354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235627963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21473889,0.00027164264,0.75699013,0.0012445718,0.00017299075,0.0007509573,0.00038611845,0.005534139,0.019910568],"genre_scores_gemma":[0.75146717,0.00024564107,0.24611716,0.00009264841,0.000024474957,0.00042385128,0.00025951662,0.00017110839,0.0011984468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975776,0.001708134,0.00013430428,0.0001646491,0.00030001093,0.00011533616],"domain_scores_gemma":[0.9806656,0.01618274,0.0006316255,0.0008006481,0.0012931261,0.0004262856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039919824,0.0010079036,0.0007783237,0.0009049428,0.00076190353,0.0018073166,0.0014920131,0.0009867427,0.0027581549],"category_scores_gemma":[0.015805999,0.00051285466,0.0005733431,0.00076440495,0.0006155537,0.0014287954,0.0014356949,0.0011226288,0.00026974906],"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":[0.00037359854,0.00026178692,0.0048600505,0.00015588615,0.000066270186,0.00014663559,0.0008725714,0.95390326,0.0017857332,0.0069709388,0.0006910578,0.029912228],"study_design_scores_gemma":[0.00005107344,0.00006500215,0.00021132862,0.000026020962,0.000014992812,0.0000117399695,0.000074631505,0.99553645,0.0008793397,0.0018876209,0.001231332,0.0000104919145],"about_ca_topic_score_codex":0.012511844,"about_ca_topic_score_gemma":0.0076500787,"teacher_disagreement_score":0.012511844,"about_ca_system_score_codex":0.001294373,"about_ca_system_score_gemma":0.0032801523,"threshold_uncertainty_score":0.024878025},"labels":[],"label_agreement":null},{"id":"W4247840805","doi":"10.1109/wsc.2010.5679009","title":"Lessons learned from utilizing discrete-event simulation modeling for quantifying construction emissions in pre-planning phase","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Illinois at Urbana-Champaign; National Science Foundation","keywords":"Discrete event simulation; Greenhouse gas; Exploit; Event (particle physics); Computer science; Simulation modeling; Phase (matter); Engineering; Environmental planning; Risk analysis (engineering); Systems engineering; Environmental science; Simulation; Business","score_opus":0.13239715875615604,"score_gpt":0.37870324329829547,"score_spread":0.24630608454213943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247840805","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07004329,0.0035973848,0.8686557,0.038819995,0.0005244522,0.00018596875,0.00027404175,0.0007402887,0.017158935],"genre_scores_gemma":[0.6340951,0.009647075,0.3521232,0.0012716572,0.00022475407,0.00018658621,0.00018114282,0.00016335153,0.0021072426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962669,0.0026318103,0.00022847635,0.00019629116,0.00057828357,0.000098307035],"domain_scores_gemma":[0.9767263,0.017955579,0.00043762117,0.0017679252,0.0026372296,0.00047523857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007305699,0.0009227018,0.00067114126,0.00062064384,0.00055652525,0.0025101416,0.002133915,0.0015389023,0.0013212974],"category_scores_gemma":[0.019093452,0.0005197637,0.0007722934,0.000839894,0.0014200101,0.0044494295,0.0015129736,0.0030331712,0.00030528635],"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":[0.00011861528,0.00030662376,0.011295889,0.0008110724,0.00014791757,0.00043489324,0.0013310723,0.73286563,0.0016107013,0.105631694,0.007114562,0.13833131],"study_design_scores_gemma":[0.00006484842,0.0002074146,0.0010527096,0.00052468764,0.000054336877,0.00022593883,0.0015601172,0.81814736,0.0034258075,0.14503476,0.029597552,0.00010443803],"about_ca_topic_score_codex":0.011748608,"about_ca_topic_score_gemma":0.010357647,"teacher_disagreement_score":0.011748608,"about_ca_system_score_codex":0.001281646,"about_ca_system_score_gemma":0.0020928395,"threshold_uncertainty_score":0.038636684},"labels":[],"label_agreement":null},{"id":"W4249544461","doi":"10.1109/wsc.2010.5679011","title":"3D CAD modeling and visualization of the tunnel construction process in a distributed simulation environment","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Works and Government Services Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Computer science; Process (computing); CAD; Animation; Systems engineering; Building information modeling; Software engineering; Computer animation; Solid modeling; Computer Aided Design; Simulation modeling; Process modeling; Simulation software; Software; Engineering drawing; Engineering; Work in process; Data mining; Artificial intelligence","score_opus":0.013234522916254342,"score_gpt":0.23134249177530578,"score_spread":0.21810796885905143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249544461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11822321,0.00016774294,0.8574085,0.00035465066,0.00004984638,0.00013576698,0.00047350817,0.004104164,0.01908258],"genre_scores_gemma":[0.78892887,0.00037383233,0.20232934,0.000047382353,0.0000145569475,0.00019845433,0.0004286532,0.00021999031,0.007458949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997646,0.00006488558,0.000009654734,0.00002505045,0.000114280054,0.000021530677],"domain_scores_gemma":[0.99969935,0.00013607634,0.000022460103,0.000051995245,0.00006540749,0.000024776451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004198684,0.00046384038,0.00037366204,0.0006648647,0.00044658838,0.0013100991,0.000623939,0.0007981981,0.0049122907],"category_scores_gemma":[0.0007706786,0.000311679,0.0005252235,0.0006090971,0.00055727875,0.00047170327,0.00082429795,0.00048556435,0.00044232683],"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":[0.00013954999,0.000097448436,0.0020722758,0.00009896254,0.000019376248,0.00033597436,0.00091804436,0.921193,0.01730688,0.016284604,0.0017575909,0.039776277],"study_design_scores_gemma":[0.00004152259,0.00004195215,0.0012289169,0.000022803812,0.000014298297,0.00011050664,0.00012010149,0.9846022,0.004928537,0.0023409678,0.006520931,0.00002727573],"about_ca_topic_score_codex":0.018559748,"about_ca_topic_score_gemma":0.021671416,"teacher_disagreement_score":0.018559748,"about_ca_system_score_codex":0.0006809297,"about_ca_system_score_gemma":0.0015172961,"threshold_uncertainty_score":0.03690344},"labels":[],"label_agreement":null}]}