{"meta":{"query_hash":"8c0784a29388","filters":{"venue":"2018 Winter Simulation Conference (WSC)"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/8c0784a29388","api":"https://metacan.xera.ac/api/v1/cohort?venue=2018+Winter+Simulation+Conference+%28WSC%29"},"results":[{"id":"W2797508735","doi":"10.1109/wsc.2018.8632422","title":"ON A GENERALIZED SPLITTING METHOD FOR SAMPLING FROM A CONDITIONAL DISTRIBUTION","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","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":"Université de Montréal","funders":"","keywords":"Conditional probability distribution; Mathematics; Event (particle physics); Estimator; Sampling distribution; Rare events; Statistics; Distribution (mathematics); Sampling (signal processing); Applied mathematics; Combinatorics; Computer science; Mathematical analysis; Physics","score_opus":0.08858667748422848,"score_gpt":0.38399534558622134,"score_spread":0.29540866810199284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797508735","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056391116,0.00000929065,0.99173015,0.0006208211,0.00072652975,0.00036642214,0.0002168948,0.00014329625,0.00054747897],"genre_scores_gemma":[0.47853634,4.2000073e-7,0.52004164,0.0006363942,0.00040502948,0.000027516357,0.00020416366,0.000009134981,0.00013938431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981499,0.00021391912,0.00039398382,0.00066129875,0.00025771945,0.00032322787],"domain_scores_gemma":[0.99762917,0.0010581772,0.0002140946,0.00049121823,0.0004910489,0.00011628178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064087316,0.00022179057,0.00026455888,0.00007821941,0.00026731417,0.00029546465,0.00046771925,0.00013790294,0.00019678666],"category_scores_gemma":[0.00031871142,0.00020484204,0.00013508945,0.00015206645,0.00006409122,0.00044856744,0.00011371018,0.00012794446,0.00006329502],"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":[0.00015202389,0.00007988596,0.000047738,0.000012562736,0.00006835951,0.0000010782821,0.0010403974,0.003077087,0.0036750939,0.79510856,0.0015382482,0.19519897],"study_design_scores_gemma":[0.0006118358,0.00011683932,0.0003933356,0.000044922486,0.000011810876,9.4415736e-7,0.0000045272827,0.66469973,0.001955273,0.3269836,0.0050013466,0.00017585172],"about_ca_topic_score_codex":0.000029567378,"about_ca_topic_score_gemma":0.0000124899425,"teacher_disagreement_score":0.66162264,"about_ca_system_score_codex":0.00007789742,"about_ca_system_score_gemma":0.00008973899,"threshold_uncertainty_score":0.8353216},"labels":[],"label_agreement":null},{"id":"W2884777291","doi":"10.1109/wsc.2018.8632536","title":"MODELING BURSTS IN THE ARRIVAL PROCESS TO AN EMERGENCY CALL CENTER","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":10,"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; Computer Research Institute of Montréal","funders":"","keywords":"Arrival time; Computer science; ALARM; Process (computing); Stochastic process; Center (category theory); Call management; Real-time computing; Event (particle physics); Multivariate statistics; Time of arrival; Call duration; Call control; Statistics; Telecommunications; Engineering; Mathematics; Aerospace engineering; Transport engineering; Physics","score_opus":0.20156628985859948,"score_gpt":0.45697136511279446,"score_spread":0.255405075254195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884777291","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":[0.18944523,7.3678285e-7,0.8059552,0.0009844658,0.0001269661,0.0004039378,0.00006716953,0.000062605795,0.0029537396],"genre_scores_gemma":[0.9962222,4.7171682e-7,0.002878985,0.0003810801,0.00017005065,0.00007937387,0.000076625394,0.000014312671,0.0001768735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861866,0.00008735331,0.0004559479,0.00030333095,0.00029239518,0.00024228908],"domain_scores_gemma":[0.9988307,0.00010220044,0.0000721417,0.0003873138,0.0004924715,0.00011520678],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002596863,0.00015268999,0.00014299755,0.000077554105,0.00014185936,0.00007760886,0.00035109767,0.00006627838,0.001215642],"category_scores_gemma":[0.0004767538,0.00011979037,0.000036936035,0.00025725467,0.00006555001,0.00022964767,0.000033601347,0.00012076878,0.00034726493],"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":[0.00024322052,0.0019938836,0.0049175513,0.00016545775,0.00005363662,0.000004611324,0.037885,0.06616088,0.00052943896,0.857028,0.008273962,0.022744348],"study_design_scores_gemma":[0.000259461,0.00006700436,0.002837024,0.000037618247,0.000010117578,0.0000012212976,0.00038287247,0.9232987,0.000036407215,0.072329655,0.00058125285,0.00015867662],"about_ca_topic_score_codex":0.000017267415,"about_ca_topic_score_gemma":0.00023848221,"teacher_disagreement_score":0.8571378,"about_ca_system_score_codex":0.000040994495,"about_ca_system_score_gemma":0.000039045233,"threshold_uncertainty_score":0.9996974},"labels":[],"label_agreement":null},{"id":"W2911264190","doi":"10.1109/wsc.2018.8632237","title":"EXACT POSTERIOR SIMULATION FROM THE LINEAR LASSO REGRESSION","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"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":"Lasso (programming language); Computer science; Linear regression; Artificial intelligence; Statistics; Mathematics; Machine learning; World Wide Web","score_opus":0.15595235777935326,"score_gpt":0.4135504450014543,"score_spread":0.2575980872221011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911264190","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":[0.6133075,0.000032697462,0.37727302,0.00081124593,0.0013439634,0.0005949547,0.00005967374,0.0002024259,0.0063745407],"genre_scores_gemma":[0.98258924,0.000004180869,0.012285727,0.00055033853,0.0013814084,0.000012304219,0.00004315444,0.000045694018,0.0030879346],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787295,0.00041445912,0.00054610334,0.00045943042,0.00039594815,0.00031108124],"domain_scores_gemma":[0.99575007,0.002304987,0.0003607219,0.0008738779,0.00059982686,0.00011049125],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00068806106,0.00030356774,0.00033797036,0.00007118066,0.00026548127,0.00015260479,0.0003806517,0.00021333936,0.0010296106],"category_scores_gemma":[0.0013334214,0.00019853687,0.00014734664,0.00014696436,0.0001596481,0.00031634513,0.00018498728,0.00022962298,0.000023310735],"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":[0.0040568537,0.0011792574,0.034807734,0.00034851694,0.00096946716,0.000045630954,0.06531314,0.022146942,0.044874895,0.010562569,0.037711177,0.77798384],"study_design_scores_gemma":[0.00094329304,0.00021973441,0.0027721324,0.00037503862,0.00007910956,0.0000015569344,0.00036967464,0.9402023,0.0023765482,0.005540344,0.046730094,0.00039016394],"about_ca_topic_score_codex":0.000054382617,"about_ca_topic_score_gemma":0.00019203855,"teacher_disagreement_score":0.91805536,"about_ca_system_score_codex":0.00006822473,"about_ca_system_score_gemma":0.000061979954,"threshold_uncertainty_score":0.9998836},"labels":[],"label_agreement":null},{"id":"W4230249985","doi":"10.1109/wsc.2018.8632401","title":"MULTI-AGENT BASED SIMULATION OF ELDERLY EGRESS PROCESS AND FALL ACCIDENT IN SENIOR APARTMENT BUILDINGS","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","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 Alberta","funders":"","keywords":"NetLogo; Apartment; Computer science; Process (computing); Architectural engineering; Population; Accident (philosophy); Operations research; Simulation; Risk analysis (engineering); Engineering; Civil engineering; Business","score_opus":0.03104733140289549,"score_gpt":0.30984059270105985,"score_spread":0.27879326129816434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230249985","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":[0.6683553,0.000016384914,0.33090916,0.000035389596,0.00016889091,0.00027521577,0.0000073542224,0.000076140306,0.00015614345],"genre_scores_gemma":[0.9978221,0.0000043807236,0.0019091669,0.00006258733,0.000050473835,0.00001898255,0.00002568986,0.000025182451,0.00008140907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883354,0.00003542237,0.00044940904,0.0002515957,0.00022833627,0.00020172443],"domain_scores_gemma":[0.9992055,0.00010274033,0.000110281406,0.00020396835,0.00030104714,0.00007642878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001704226,0.00019422597,0.00021201902,0.00019575724,0.000040728548,0.00006547061,0.00012625032,0.00011083808,0.00014359044],"category_scores_gemma":[0.000060348,0.00019648734,0.00003804718,0.00014121788,0.00006677275,0.00029906895,0.000026639233,0.000101345104,0.000022891069],"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":[0.000039730297,0.00005879744,0.024643883,0.00007474527,0.00001703008,7.588736e-7,0.0016480596,0.96455747,0.0010434901,0.000036303205,0.0000115048815,0.007868229],"study_design_scores_gemma":[0.0010651428,0.00009988375,0.0383157,0.00013270136,0.000014407801,3.0196725e-7,0.00012119635,0.9578816,0.0017828479,0.00007814005,0.00031323926,0.00019480512],"about_ca_topic_score_codex":0.000018360315,"about_ca_topic_score_gemma":0.00044290177,"teacher_disagreement_score":0.32946682,"about_ca_system_score_codex":0.00008633593,"about_ca_system_score_gemma":0.000035217476,"threshold_uncertainty_score":0.8012521},"labels":[],"label_agreement":null},{"id":"W4232454143","doi":"10.1109/wsc.2018.8632288","title":"SIMULATING AN INTEGRATED REVENUE MANAGEMENT APPROACH IN A PRODUCTION SYSTEM WITH PRODUCT SUBSTITUTION","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université TÉLUQ; Université Laval","funders":"","keywords":"Revenue; Context (archaeology); Consumption (sociology); Revenue management; Product (mathematics); Production (economics); Substitution (logic); Demand management; Computer science; New product development; Time horizon; Business; Industrial organization; Operations research; Marketing; Economics; Microeconomics; Engineering","score_opus":0.04812074265609921,"score_gpt":0.25430517932612917,"score_spread":0.20618443667002995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232454143","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":[0.76635695,0.00002018937,0.17529665,0.00033574266,0.002001887,0.0030693256,0.0000053836047,0.0006552024,0.052258678],"genre_scores_gemma":[0.99522567,8.6763947e-7,0.0014241062,0.00020395215,0.0015418932,0.00009382305,0.00015047398,0.000038653852,0.0013205835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997903,0.00006054927,0.00047834296,0.00079222297,0.00038711765,0.0003787802],"domain_scores_gemma":[0.99862856,0.0000116172505,0.00030435302,0.00057221914,0.00045834426,0.000024897146],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069960393,0.00031044942,0.00026069616,0.00056510785,0.0002294794,0.0003980398,0.00030066606,0.00006683685,0.00011618816],"category_scores_gemma":[0.000049492923,0.00026897396,0.00004198485,0.0008315366,0.00014515161,0.002169655,0.000120540346,0.00016089051,0.00020830601],"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":[0.0020416114,0.0017376853,0.08720567,0.004008689,0.0003546896,0.000066285524,0.0037981833,0.68244714,0.00064860826,0.08379647,0.0038241637,0.13007084],"study_design_scores_gemma":[0.0009950182,0.00007492287,0.014040867,0.0006152529,0.00006388737,0.000002440404,0.0023179832,0.9507226,0.000060849543,0.00017319889,0.030473556,0.00045944777],"about_ca_topic_score_codex":0.0002742292,"about_ca_topic_score_gemma":0.00036550508,"teacher_disagreement_score":0.26827547,"about_ca_system_score_codex":0.00021565729,"about_ca_system_score_gemma":0.000032652526,"threshold_uncertainty_score":0.9999762},"labels":[],"label_agreement":null},{"id":"W4235228143","doi":"10.1109/wsc.2018.8632430","title":"PRODUCTIVITY IMPROVEMENT IN OPERATING AUTONOMOUS PLANTS SUBJECT TO RANDOM BREAKDOWNS IN CONSTRUCTION","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Advanced Manufacturing and Logistics Optimization","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 Alberta","funders":"","keywords":"Crew; Productivity; Production (economics); Resource (disambiguation); Function (biology); Maintenance engineering; Operating cost; Relevance (law); Computer science; Operations research; Engineering; Reliability engineering; Aeronautics","score_opus":0.01927984914941131,"score_gpt":0.2575700386047182,"score_spread":0.23829018945530692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235228143","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":[0.47264934,0.0000033892861,0.5250433,0.00004068191,0.0005346984,0.00037092142,0.000008774519,0.00011991521,0.001229],"genre_scores_gemma":[0.9918728,0.0000033862768,0.0077678417,0.000030368978,0.00016231205,0.000032305645,0.000021009571,0.000019118437,0.00009088626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989883,0.000032329484,0.00033300184,0.00029575793,0.00010336786,0.00024726437],"domain_scores_gemma":[0.99956,0.0000633958,0.000046244884,0.00020131403,0.000078443954,0.00005060999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018870896,0.0001665384,0.00019605887,0.00020898812,0.000049356444,0.00006344153,0.00009204566,0.00007343339,0.00007541349],"category_scores_gemma":[0.000117772826,0.00017391641,0.000018504537,0.00012784672,0.00004570375,0.00028391354,0.00003474266,0.00014069714,0.000035471672],"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":[0.000054217202,0.000019588357,0.00140479,0.000015533917,0.000005799057,0.0000012101822,0.0010599111,0.95658016,0.0020880634,0.000043222244,0.000012159299,0.03871533],"study_design_scores_gemma":[0.0012647657,0.0001104796,0.008718714,0.00009128919,0.0000035302294,0.0000021638532,0.000119151315,0.97095585,0.017712418,0.00034115586,0.0004221495,0.0002583548],"about_ca_topic_score_codex":0.00008028689,"about_ca_topic_score_gemma":0.000750302,"teacher_disagreement_score":0.51922345,"about_ca_system_score_codex":0.00018449783,"about_ca_system_score_gemma":0.000029618737,"threshold_uncertainty_score":0.7092105},"labels":[],"label_agreement":null},{"id":"W4235840172","doi":"10.1109/wsc.2018.8632249","title":"IMPROVING TUNNELING SIMULATION USING BAYESIAN UPDATING AND HIDDEN MARKOV CHAINS","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Tunneling and Rock Mechanics","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":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hidden Markov model; Computer science; Markov chain; Bayesian probability; Data mining; Duration (music); Markov model; Machine learning; Markov process; Artificial intelligence; Statistics; Mathematics","score_opus":0.028740736854875503,"score_gpt":0.26526509586391794,"score_spread":0.23652435900904245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235840172","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":[0.3470664,0.000033298275,0.6510149,0.000017298404,0.0007210046,0.0001504433,0.000006751861,0.000328056,0.0006618176],"genre_scores_gemma":[0.98732835,0.0000051500665,0.011636612,0.000061603154,0.0007716344,0.0000033361814,0.000012987206,0.00006599807,0.00011434441],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856466,0.000046100493,0.00043919188,0.00036811616,0.00019990302,0.00038203187],"domain_scores_gemma":[0.9990794,0.00014541228,0.000118290234,0.00028562229,0.00024398524,0.00012730944],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026187985,0.00027493594,0.00023639892,0.0001847079,0.0003008553,0.00018018346,0.00014364872,0.00018017451,0.00015898547],"category_scores_gemma":[0.00014038595,0.00028952173,0.00005235636,0.00016043417,0.000040625582,0.0004608625,0.00009585951,0.00020619511,0.000029659901],"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":[0.000025450603,0.000013299332,0.0007319371,0.000102956736,0.000043679192,0.0000023881803,0.0024047836,0.87544847,0.015683712,0.00018921486,0.000017332412,0.10533679],"study_design_scores_gemma":[0.00036572767,0.00004471157,0.00024712947,0.00017654162,0.00003134168,0.000003565036,0.00037288645,0.9967966,0.0012609587,0.00018221395,0.0001742917,0.0003440131],"about_ca_topic_score_codex":0.00003664057,"about_ca_topic_score_gemma":0.000041589694,"teacher_disagreement_score":0.64026195,"about_ca_system_score_codex":0.000093263254,"about_ca_system_score_gemma":0.00004007856,"threshold_uncertainty_score":0.9999557},"labels":[],"label_agreement":null},{"id":"W4237537986","doi":"10.1109/wsc.2018.8632408","title":"INTRODUCTION TO THE DISCRETE EVENT SYSTEM SPECIFICATION FORMALISM AND ITS APPLICATION FOR MODELING AND SIMULATING CYBER-PHYSICAL SYSTEMS","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"DEVS; Formalism (music); Computer science; Modular design; Discrete event simulation; Exploit; Theoretical computer science; Formal specification; Modeling and simulation; Programming language; Distributed computing; Software engineering; Simulation; Computer security","score_opus":0.11505938864272248,"score_gpt":0.3980029589894271,"score_spread":0.28294357034670464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237537986","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":[0.18048029,0.000024213758,0.81444114,0.0024043657,0.00027242434,0.0019650366,0.000035279474,0.00012384604,0.000253435],"genre_scores_gemma":[0.99557143,0.0000024369951,0.0010703679,0.00008261417,0.002431852,0.0003876169,0.000034379,0.000023629258,0.0003956923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741316,0.00012632244,0.00082255254,0.0007986246,0.0005833197,0.0002560195],"domain_scores_gemma":[0.9967051,0.00065980037,0.00037430995,0.0007067084,0.0014158209,0.00013824605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014973077,0.00022129553,0.00028619476,0.00019872867,0.0006541683,0.0005252053,0.00036958183,0.00010100153,0.000016264974],"category_scores_gemma":[0.00050030596,0.00015857095,0.00006987162,0.00042071138,0.00007479701,0.00062340574,0.00014854177,0.00010699562,0.000105113024],"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":[0.00014128923,0.000044597604,0.00031597607,0.00004869237,0.000025375353,6.545992e-8,0.00436357,0.7952862,0.0039913417,0.11464351,0.00073433446,0.08040506],"study_design_scores_gemma":[0.00023193148,0.00010193008,0.00047001347,0.00003862335,0.000023876251,0.0000027382152,0.0010856687,0.970101,0.00046301715,0.0029984158,0.024293281,0.00018953109],"about_ca_topic_score_codex":0.000025197118,"about_ca_topic_score_gemma":0.000019945433,"teacher_disagreement_score":0.81509113,"about_ca_system_score_codex":0.00008839747,"about_ca_system_score_gemma":0.000030005047,"threshold_uncertainty_score":0.64663357},"labels":[],"label_agreement":null},{"id":"W4239336595","doi":"10.1109/wsc.2018.8632368","title":"A SYMMETRIC FORMALISM FOR DISCRETE EVENT SIMULATION WITH AGENTS","year":2018,"lang":"en","type":"article","venue":"2018 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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"DEVS; Formalism (music); Initialization; Dataflow; Computer science; Theoretical computer science; Discrete event simulation; Distributed computing; Modeling and simulation; Algorithm; Parallel computing; Programming language; Simulation","score_opus":0.21127448260026402,"score_gpt":0.4654703997955205,"score_spread":0.25419591719525647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239336595","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":[0.058300868,0.0000072283447,0.9335481,0.0005406841,0.00027483495,0.0013050954,0.00007499135,0.00018996497,0.005758214],"genre_scores_gemma":[0.98819333,0.0000014000054,0.006425067,0.00051312154,0.00038031,0.00014974047,0.00006971039,0.000034517376,0.0042328285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966499,0.000104472536,0.00097410334,0.00077586743,0.0010857378,0.0004099039],"domain_scores_gemma":[0.9945798,0.00152694,0.0005650968,0.0009586633,0.002182922,0.00018659857],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010806844,0.00029421633,0.00034968468,0.00058389636,0.0004470025,0.00049932656,0.0007055395,0.00015868073,0.0015387847],"category_scores_gemma":[0.00090320216,0.00021650684,0.00017828506,0.0011773064,0.00019546575,0.0009840179,0.00013218667,0.00011743043,0.0004476535],"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":[0.00091164804,0.00032381777,0.015472275,0.000029797306,0.0001189419,0.0000016774626,0.0034939956,0.590822,0.00029180408,0.031247813,0.008122351,0.3491639],"study_design_scores_gemma":[0.0008051939,0.00038062007,0.009551039,0.00003666351,0.000027793458,0.0000010795821,0.00014013684,0.85159427,0.000436888,0.020297188,0.11643723,0.00029192402],"about_ca_topic_score_codex":0.000017146667,"about_ca_topic_score_gemma":0.000049594608,"teacher_disagreement_score":0.9298924,"about_ca_system_score_codex":0.000093353505,"about_ca_system_score_gemma":0.00009730386,"threshold_uncertainty_score":0.999374},"labels":[],"label_agreement":null}]}