{"meta":{"query_hash":"efa40b4bdac2","filters":{"topic":"Simulation Techniques and Applications"},"cohort_total":889,"direct_labels_cover":2,"predictions_cover":889,"exported":889,"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/efa40b4bdac2","api":"https://metacan.xera.ac/api/v1/cohort?topic=Simulation+Techniques+and+Applications"},"results":[{"id":"W1000895980","doi":"10.1007/978-0-387-76422-1_5","title":"Variation and access probabilities","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"","keywords":"Variation (astronomy); Computer science; Statistics; Mathematics; Physics; Astrophysics","score_opus":0.26867698719570743,"score_gpt":0.42799676892602356,"score_spread":0.15931978173031613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1000895980","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000088186025,0.00009391894,0.017363595,0.00071041955,0.00004309742,0.00040521947,0.000020438834,0.00013547794,0.98113966],"genre_scores_gemma":[0.013931422,0.0002446711,0.0026030506,0.00025981292,0.000087672626,0.000027564669,0.000010314592,0.000015045583,0.98282045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99845815,0.000010393942,0.00045364792,0.00040903047,0.00059593533,0.00007284161],"domain_scores_gemma":[0.9983684,0.00055278064,0.00021138032,0.00049942755,0.00031680422,0.000051212905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035843492,0.0001330705,0.00020408626,0.00019533708,0.00013260228,0.00026342395,0.00038367714,0.00017871533,0.0033555068],"category_scores_gemma":[0.0001679732,0.000096491945,0.0000633234,0.00005446953,0.00010790724,0.00024351024,0.00016993607,0.00009851176,0.0001920149],"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":[0.0000022867337,0.000005605376,0.00007336951,0.0000028108739,0.000005952422,4.438217e-7,0.00017501418,0.000012808277,0.0000023761377,0.92017937,0.045628745,0.033911195],"study_design_scores_gemma":[0.000026925776,0.000007617132,0.0012319192,0.0000044572225,0.0000034141206,0.0000031534082,0.0000032588648,0.00023607755,0.0000064081582,0.5204598,0.47793227,0.000084734456],"about_ca_topic_score_codex":0.000022994214,"about_ca_topic_score_gemma":0.000010838902,"teacher_disagreement_score":0.43230355,"about_ca_system_score_codex":0.00002153801,"about_ca_system_score_gemma":0.000046980127,"threshold_uncertainty_score":0.99755555},"labels":[],"label_agreement":null},{"id":"W10363999","doi":"10.1007/978-3-319-11520-7_2","title":"Cellular Modeling with Cell-DEVS: A Discrete-Event Cellular Automata Formalism","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Cellular automaton; Computer science; Formalism (music); Theoretical computer science; Stochastic cellular automaton; Automaton; Distributed computing; Popularity; Discrete event simulation; Visualization; Grid; Algorithm; Modeling and simulation; Artificial intelligence; Simulation; Mathematics","score_opus":0.043033459308587915,"score_gpt":0.3168416223808192,"score_spread":0.27380816307223127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10363999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00086284295,0.00015116452,0.9914878,0.0005775539,0.0002843318,0.0006645633,0.000015512353,0.00020303144,0.0057531926],"genre_scores_gemma":[0.8486093,0.000011573775,0.14910248,0.0005978771,0.0003024976,0.000026130467,0.000019246438,0.000048096514,0.0012827726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99389404,0.00004796949,0.0010668043,0.0016878066,0.0027066234,0.0005967521],"domain_scores_gemma":[0.99569327,0.0007004756,0.00055718835,0.0022628452,0.0005518435,0.00023439426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024949806,0.0005494194,0.0006452209,0.00090438547,0.00045820622,0.0007932832,0.003116762,0.00034139035,0.00012259542],"category_scores_gemma":[0.00011974301,0.000385884,0.00019933208,0.0008007173,0.0005245557,0.0003730503,0.00081559253,0.00065088447,0.00013117753],"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":[0.000012006363,0.000027708238,0.000023333318,0.000019049601,0.0000057263214,0.000019920863,0.00049757375,0.82942593,0.00049418997,0.019032106,0.00007945733,0.15036298],"study_design_scores_gemma":[0.0002075845,0.000106556436,0.0000025355575,0.0001358507,0.00001188823,0.000008449051,0.0000010121089,0.8335333,0.003842973,0.15555638,0.006122444,0.0004710307],"about_ca_topic_score_codex":0.000033904667,"about_ca_topic_score_gemma":0.000027639344,"teacher_disagreement_score":0.8477465,"about_ca_system_score_codex":0.000164581,"about_ca_system_score_gemma":0.00031723143,"threshold_uncertainty_score":0.99985933},"labels":[],"label_agreement":null},{"id":"W112835141","doi":"","title":"Performance evaluation of Data Distribution Management strategies: Research Articles","year":2004,"lang":"en","type":"article","venue":"Distributed Simulation and Real-Time Applications","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Benchmark (surveying); Scalability; Distribution management system; High-level architecture; Grid; Distributed computing; Variety (cybernetics); Scheme (mathematics); Service (business); Data management; Scale (ratio); Data modeling; Resource management (computing); Data mining; Database; Interoperability; Artificial intelligence; Engineering; World Wide Web","score_opus":0.3185659308893205,"score_gpt":0.5154585520204915,"score_spread":0.196892621131171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W112835141","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":[0.48752105,0.00006229937,0.5021238,0.00070619537,0.000015895715,0.0023860915,0.0014875794,0.00016389164,0.0055332207],"genre_scores_gemma":[0.9929733,0.00010217077,0.0024295356,0.000008393905,0.000039374045,0.0003294522,0.0040234393,0.00001132691,0.000082966864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959634,0.00022672243,0.00086374255,0.0006963231,0.00198945,0.00026035786],"domain_scores_gemma":[0.9951759,0.0006954198,0.0002996873,0.0016514758,0.0020515956,0.00012594521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059606545,0.00014565654,0.00021231233,0.00025297768,0.00057759375,0.00021020649,0.0007791456,0.000112667585,0.00018286143],"category_scores_gemma":[0.000264353,0.00012719513,0.000044395947,0.0023442702,0.00028255483,0.0007829136,0.00030522578,0.000126493,0.0001520019],"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":[0.000037877293,0.0005141023,0.0018386791,0.000031510204,0.000048852165,2.6845686e-7,0.00023769925,0.58652776,0.0017142289,0.13776018,0.0011704686,0.2701184],"study_design_scores_gemma":[0.0010156053,0.000048454876,0.07295486,0.00003278593,0.000089411435,0.0000016150823,0.0012878234,0.80658185,0.0006150686,0.10180287,0.015359314,0.00021032467],"about_ca_topic_score_codex":0.000073800824,"about_ca_topic_score_gemma":0.000008315499,"teacher_disagreement_score":0.5054523,"about_ca_system_score_codex":0.00014599515,"about_ca_system_score_gemma":0.00019407638,"threshold_uncertainty_score":0.5186867},"labels":[],"label_agreement":null},{"id":"W113453355","doi":"10.2172/883740","title":"ISCR FY2005 Annual Report","year":2006,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; U.S. Department of Commerce; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"National laboratory; Computer science; National security; Operations research; Data science; Engineering; Political science; Engineering physics","score_opus":0.2344150921175553,"score_gpt":0.5204264431820098,"score_spread":0.2860113510644545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W113453355","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015723605,0.0001396449,0.056769148,0.00087509665,0.0005453286,0.00040897058,0.0002227605,0.0004018863,0.94047993],"genre_scores_gemma":[0.021563187,0.000049224207,0.007117701,0.00018489115,0.0011114399,0.00008988895,0.0003336903,0.000038617858,0.9695114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99232644,0.000048891572,0.0019219252,0.0009888026,0.004449442,0.00026447247],"domain_scores_gemma":[0.99310434,0.0005449485,0.0010855558,0.0020645238,0.0030841727,0.00011648581],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004561399,0.00026870976,0.0005505824,0.00046297172,0.00016217546,0.00026882484,0.0009108754,0.00046039541,0.005519104],"category_scores_gemma":[0.0023752498,0.00018924811,0.0003669753,0.00088514393,0.00008698931,0.00017764622,0.00021742763,0.00030186668,0.0011187787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.4815583e-7,0.000030503636,0.0011743364,0.0000016807458,0.000005758283,0.000041865544,0.000005365155,0.00003476311,0.0000022398258,0.0010151088,0.9694176,0.028270181],"study_design_scores_gemma":[0.0000385811,0.000010376525,0.0046235365,0.000008831709,0.000014716875,0.00027422066,0.000036097044,0.00009950613,0.000070547234,0.019021185,0.97555965,0.00024274235],"about_ca_topic_score_codex":0.0012305191,"about_ca_topic_score_gemma":0.00016544844,"teacher_disagreement_score":0.049651448,"about_ca_system_score_codex":0.00015123983,"about_ca_system_score_gemma":0.0010128688,"threshold_uncertainty_score":0.99965894},"labels":[],"label_agreement":null},{"id":"W115118231","doi":"10.5555/2500004.2500026","title":"Development of discrete event system specification (DEVS) building performance models for building energy design","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Modular design; Interoperability; Formalism (music); Computer science; Discrete event simulation; HVAC; Multiphysics; Systems engineering; Efficient energy use; Distributed computing; Modeling and simulation; Simulation; Engineering; Programming language; Operating system","score_opus":0.19115245439362466,"score_gpt":0.3842188299965533,"score_spread":0.19306637560292866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W115118231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05582646,0.000017713004,0.94179523,0.00010018633,0.000043960074,0.00062732253,0.0000022730646,0.00009676476,0.0014901111],"genre_scores_gemma":[0.5662568,0.000002873432,0.4328979,0.000013113501,0.000019215538,0.00035218857,0.0000021243864,0.00000718858,0.00044855912],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785554,0.000036361653,0.0009788215,0.000353817,0.00058806856,0.0001873785],"domain_scores_gemma":[0.99811184,0.00046598996,0.00036689526,0.00045178275,0.0005311294,0.00007233655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013676608,0.00011885918,0.00020348652,0.0002050995,0.0002395621,0.00011338753,0.0005032583,0.000058100002,0.00008825239],"category_scores_gemma":[0.00006221433,0.00008684526,0.00007372668,0.00041624284,0.000024819523,0.0004956176,0.00007275908,0.00003058457,0.000021424465],"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":[0.000014175026,0.000035048975,0.000089068075,0.000024111205,0.000013602823,2.2709031e-8,0.0003054934,0.108681336,0.03873533,0.6128669,0.0015978562,0.23763706],"study_design_scores_gemma":[0.00010192271,0.000015639542,0.0003123756,0.00003144136,0.0000034126995,7.065143e-7,0.00033173108,0.8050157,0.1700628,0.017656583,0.006354114,0.00011359537],"about_ca_topic_score_codex":0.000021457841,"about_ca_topic_score_gemma":0.0000011385164,"teacher_disagreement_score":0.69633436,"about_ca_system_score_codex":0.0001015103,"about_ca_system_score_gemma":0.00006504509,"threshold_uncertainty_score":0.3541447},"labels":[],"label_agreement":null},{"id":"W126625454","doi":"","title":"Optimizing earthmoving operations using computer simulation","year":2002,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Genetic algorithm; Engineering; Simulation software; Software; Object (grammar); Duration (music); Set (abstract data type); Discrete event simulation; Computer science; Industrial engineering; Simulation","score_opus":0.1474009487418609,"score_gpt":0.405784009884545,"score_spread":0.25838306114268406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W126625454","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":[0.84502214,0.00013013187,0.06348694,0.00021084212,0.0010096937,0.0013202701,0.000027098742,0.00033827923,0.088454604],"genre_scores_gemma":[0.9159309,0.00002994744,0.0025392927,0.000011300296,0.0006261065,0.0000048969787,0.00008289101,0.000053534433,0.0807211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942521,0.0008570753,0.0007753846,0.0012150679,0.002246718,0.00065369095],"domain_scores_gemma":[0.99519813,0.0014293226,0.0003148304,0.0012495249,0.0014914668,0.00031675186],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014705184,0.00033893707,0.00049880455,0.0027981906,0.0024058016,0.0011589087,0.0013956625,0.00047561034,0.0005293982],"category_scores_gemma":[0.00033016235,0.00036284624,0.0003403042,0.0033322673,0.00018569513,0.0008703917,0.00025132098,0.0010922343,0.0001965112],"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":[0.00019467821,0.00029127963,0.0069624074,0.00005258579,0.00016742019,0.00031218247,0.0024384176,0.9550874,0.0067908424,0.010118404,0.0024935184,0.015090841],"study_design_scores_gemma":[0.00037157402,0.00013329445,0.008301432,0.00011217344,0.000051487936,0.000010257566,0.0018719691,0.9442634,0.0040051597,0.0011017664,0.039232273,0.00054523634],"about_ca_topic_score_codex":0.003457872,"about_ca_topic_score_gemma":0.0034551437,"teacher_disagreement_score":0.0709088,"about_ca_system_score_codex":0.0006842963,"about_ca_system_score_gemma":0.0005436304,"threshold_uncertainty_score":0.99988234},"labels":[],"label_agreement":null},{"id":"W129094118","doi":"10.5555/1999416.1999442","title":"Symbolic flattening of DEVS models","year":2010,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"DEVS; Flattening; Computer science; Modular design; Modelica; USable; Formalism (music); Theoretical computer science; Computation; Programming language; Symbolic computation; Modeling and simulation; Simulation; Engineering; Mathematics","score_opus":0.2563621658795836,"score_gpt":0.43487852077370076,"score_spread":0.17851635489411716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W129094118","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":[0.24092135,0.000004732789,0.7550945,0.00021104376,0.00022082285,0.00018327202,0.0000084013245,0.000089707144,0.003266119],"genre_scores_gemma":[0.9566228,9.437753e-7,0.04279696,0.00017408279,0.00012734935,0.000011449529,0.000009071155,0.000010697496,0.00024669553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978284,0.00006486192,0.00076574873,0.0004305211,0.00072995026,0.00018050711],"domain_scores_gemma":[0.99651897,0.0010791519,0.00033297073,0.0007994075,0.0011680499,0.00010143869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070011825,0.00014445155,0.0002661712,0.00027566517,0.00012743977,0.00017472741,0.0007078413,0.00011409326,0.0005435856],"category_scores_gemma":[0.00014870569,0.00012316578,0.00010709364,0.00061094563,0.00010466463,0.0004760495,0.00016188057,0.0002058514,0.00010153982],"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":[0.000010484461,0.000060791095,0.01000011,0.000003819951,0.00001144791,4.837234e-7,0.0006753677,0.52242583,0.0026380199,0.21226814,0.00055770937,0.25134778],"study_design_scores_gemma":[0.00016138078,0.000016430185,0.00784723,0.000007433267,0.0000047177637,8.158614e-7,0.000019521878,0.8905632,0.001102621,0.09522455,0.004928223,0.00012388105],"about_ca_topic_score_codex":0.000029554178,"about_ca_topic_score_gemma":0.000021205604,"teacher_disagreement_score":0.7157014,"about_ca_system_score_codex":0.0000070913447,"about_ca_system_score_gemma":0.00007452324,"threshold_uncertainty_score":0.5951881},"labels":[],"label_agreement":null},{"id":"W130611896","doi":"10.1007/978-3-319-03581-9_1","title":"The Richness of Modeling and Simulation and an Index of Its Body of Knowledge","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Elaboration; Section (typography); Index (typography); Species richness; Computer science; Humanities; World Wide Web; Philosophy; Ecology","score_opus":0.0931251352569675,"score_gpt":0.41723221813753875,"score_spread":0.3241070828805712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W130611896","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":[0.17393447,0.08632276,0.71245986,0.000014484697,0.00032601345,0.0015972531,0.000022653252,0.000031113042,0.025291402],"genre_scores_gemma":[0.99669766,0.0018946772,0.00022219004,0.00000144164,0.00003951161,0.00000508211,0.0000012702535,0.000010536475,0.0011276047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805677,0.000049180722,0.00120154,0.00029957126,0.00030319585,0.000089721005],"domain_scores_gemma":[0.99676347,0.0015348325,0.0008527718,0.0002733986,0.0005385376,0.0000370132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010974125,0.00014174692,0.00043272716,0.00019563633,0.00009658049,0.000047228696,0.00021111628,0.00011271771,0.000004094171],"category_scores_gemma":[0.00012029555,0.00009769723,0.000034311524,0.00009747656,0.00013262943,0.00017267889,0.0001455329,0.00010394898,5.8819575e-7],"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":[0.0000127381345,0.000020311036,0.002328273,0.00023811388,0.000013364191,1.02209206e-7,0.00072140014,0.54002273,0.00003487142,0.23899676,0.0000026815153,0.21760868],"study_design_scores_gemma":[0.000056727993,0.000043820946,0.00010294519,0.0005123654,0.0000069585644,9.337798e-7,0.00041975014,0.96371025,0.0000640267,0.031613037,0.0033772758,0.00009193015],"about_ca_topic_score_codex":0.00003098846,"about_ca_topic_score_gemma":0.000010393937,"teacher_disagreement_score":0.8227632,"about_ca_system_score_codex":0.000010266819,"about_ca_system_score_gemma":0.00001574684,"threshold_uncertainty_score":0.39839774},"labels":[],"label_agreement":null},{"id":"W1493872864","doi":"10.1007/11817963_27","title":"EverLost: A Flexible Platform for Industrial-Strength Abstraction-Guided Simulation","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Abstraction; Verilog; Heuristics; Programming language; Abstraction layer; Model checking; Computer architecture; Embedded system; Software engineering; Software; Operating system; Field-programmable gate array","score_opus":0.18465310650881606,"score_gpt":0.40421918813249536,"score_spread":0.2195660816236793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493872864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003791294,0.000039679006,0.98780143,0.00047327284,0.00071446644,0.0011786255,0.00007054663,0.00017675248,0.009166094],"genre_scores_gemma":[0.8395353,0.0000067626133,0.14831807,0.0007305364,0.0017119487,0.0000864487,0.00010618073,0.00006551039,0.009439253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99533397,0.000014733268,0.0012334745,0.0013099775,0.0016816007,0.00042623145],"domain_scores_gemma":[0.9929936,0.004212228,0.00074213557,0.0011166094,0.00081270636,0.0001227561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020031983,0.00039261385,0.00049694587,0.0011947713,0.00044090228,0.00068419194,0.0014388307,0.0005571882,0.00019067452],"category_scores_gemma":[0.00092838507,0.00033187604,0.00022042161,0.00092208857,0.0003517727,0.00058150827,0.000232734,0.0005151517,0.00007588468],"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":[0.000010156427,0.000021168487,0.000085488165,0.0000032087378,0.0000032547737,0.000001026073,0.000042630272,0.5612677,0.000025899983,0.0044081216,0.0012348541,0.43289655],"study_design_scores_gemma":[0.00029787206,0.00006254617,0.00012916212,0.000062416184,0.000008774178,0.000004332116,2.6695093e-7,0.5236011,0.0011265464,0.39688352,0.07749919,0.0003242395],"about_ca_topic_score_codex":0.000049518603,"about_ca_topic_score_gemma":0.00004651574,"teacher_disagreement_score":0.8394834,"about_ca_system_score_codex":0.00032556098,"about_ca_system_score_gemma":0.00045161086,"threshold_uncertainty_score":0.99991333},"labels":[],"label_agreement":null},{"id":"W1494607591","doi":"10.1007/3-540-48022-6_11","title":"Randomization Methods in Optimization and Adaptive Control","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Simultaneous perturbation stochastic approximation; Stochastic approximation; Estimator; Mathematics; Independent and identically distributed random variables; Rate of convergence; Mathematical optimization; Ode; Stochastic optimization; Applied mathematics; Stochastic process; Random variable; Computer science; Key (lock); Statistics","score_opus":0.07302891862635308,"score_gpt":0.4079774928125254,"score_spread":0.3349485741861723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494607591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025912765,0.00060579734,0.94658536,0.0009983752,0.00008482378,0.00095901836,0.000029934568,0.00003530611,0.050675485],"genre_scores_gemma":[0.8371976,0.00078640686,0.1552797,0.0056132874,0.00013461124,0.000109958186,0.00003834836,0.000020935695,0.00081914],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711114,0.00014693897,0.0013514074,0.0004041162,0.0007634379,0.00022295282],"domain_scores_gemma":[0.9935217,0.0050784517,0.0007311085,0.00021803632,0.00037338483,0.00007731142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00677631,0.0002613851,0.00057581894,0.0015322083,0.00021634712,0.00044768836,0.0002957716,0.00038107103,0.00014750661],"category_scores_gemma":[0.0023645922,0.00019199398,0.00006669148,0.00055841304,0.0003987929,0.0017917904,0.00004838466,0.00030088873,0.000008724518],"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":[0.00022088192,0.000007648057,0.00061024935,0.000006718025,0.000009076628,4.8017336e-7,0.00053102174,0.31619117,0.000010950749,0.07164143,0.000025993357,0.61074436],"study_design_scores_gemma":[0.0033697449,0.000087907916,0.0005846323,0.000054690703,0.000016147673,0.000005394728,0.000037456113,0.8446634,0.000024958366,0.13811842,0.012776585,0.00026068022],"about_ca_topic_score_codex":0.000045730067,"about_ca_topic_score_gemma":0.00008951787,"teacher_disagreement_score":0.83717173,"about_ca_system_score_codex":0.000054554926,"about_ca_system_score_gemma":0.000094588984,"threshold_uncertainty_score":0.78292876},"labels":[],"label_agreement":null},{"id":"W1499397298","doi":"10.1007/11861201_55","title":"Improved Cell-DEVS Models for Fire Spreading Analysis","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Distributed computing; Real-time computing; Modeling and simulation; Simulation","score_opus":0.06251531018319277,"score_gpt":0.34717437211217667,"score_spread":0.2846590619289839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499397298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014362407,0.00012585273,0.9918036,0.00030310018,0.00019976862,0.0006681052,0.000057041158,0.00010218365,0.006596724],"genre_scores_gemma":[0.70495,0.00000709409,0.28973216,0.00045909907,0.00025917563,0.000043236207,0.00002922541,0.000025906502,0.004494093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960962,0.000016663063,0.0008708815,0.0014692656,0.0011408658,0.00040611502],"domain_scores_gemma":[0.9954341,0.0019565015,0.000499155,0.001348599,0.0006508004,0.000110813024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015991688,0.0003443569,0.00060216757,0.0012768538,0.000355977,0.00065246597,0.002077849,0.00030075532,0.00006418046],"category_scores_gemma":[0.00015988108,0.00027703465,0.00040568647,0.0017413079,0.00033231123,0.00035032214,0.00036321173,0.0002950125,0.0000137725565],"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":[0.0000037280952,0.000015327556,0.000038421786,0.0000046671025,0.000010774849,9.435143e-7,0.00009294439,0.7274376,0.00012005522,0.0033660159,0.00029175504,0.26861775],"study_design_scores_gemma":[0.000078338795,0.000026776015,0.000019467176,0.000014081066,0.000035240395,7.0722695e-7,1.6553012e-7,0.6769717,0.0010920329,0.31965435,0.0018816276,0.00022551035],"about_ca_topic_score_codex":0.00007203172,"about_ca_topic_score_gemma":0.00009164437,"teacher_disagreement_score":0.7048064,"about_ca_system_score_codex":0.00016064703,"about_ca_system_score_gemma":0.0001946395,"threshold_uncertainty_score":0.9999682},"labels":[],"label_agreement":null},{"id":"W1502111146","doi":"","title":"Proceedings of the 15th Communications and Networking Simulation Symposium","year":2012,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Toronto Metropolitan University","funders":"","keywords":"Variety (cybernetics); Government (linguistics); Computer science; Panel discussion; Engineering ethics; Engineering; Business","score_opus":0.19030981664598756,"score_gpt":0.4381063392604543,"score_spread":0.24779652261446672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502111146","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":[0.68962085,0.00064264284,0.034891013,0.011487684,0.00025121923,0.0013009978,0.000007703574,0.00021543834,0.26158243],"genre_scores_gemma":[0.99586964,0.000023014902,0.0029067253,0.00014838531,0.000051612336,0.00001295183,4.1499533e-7,0.0000036889417,0.0009835719],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922746,0.000016914582,0.00028762736,0.000091166134,0.0002869188,0.0000899371],"domain_scores_gemma":[0.9985729,0.0006021703,0.00017354451,0.0003872183,0.000226401,0.00003778341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008808521,0.000044884964,0.00007392567,0.000046872225,0.000200511,0.000058100304,0.0004602548,0.000033688273,0.000036363366],"category_scores_gemma":[0.00007984446,0.000025982934,0.000034471643,0.0005146162,0.00010199863,0.00026214897,0.00025831026,0.000052238367,0.0000066106877],"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":[0.0000036304862,0.00009279168,0.6818912,0.0000033477158,0.000006839809,1.5010172e-9,0.0012811439,0.000475251,0.0049069272,0.25641772,0.0034188416,0.05150231],"study_design_scores_gemma":[0.00017319694,0.000020349098,0.15549533,0.000021672353,0.000023919569,0.0000021836283,0.00089084887,0.3332945,0.0037209655,0.046222262,0.45996884,0.0001659382],"about_ca_topic_score_codex":0.000007748532,"about_ca_topic_score_gemma":0.0000017587955,"teacher_disagreement_score":0.52639586,"about_ca_system_score_codex":0.000008102776,"about_ca_system_score_gemma":0.000005796641,"threshold_uncertainty_score":0.15421888},"labels":[],"label_agreement":null},{"id":"W1503337308","doi":"10.1109/icsmc.2003.1243922","title":"Emulation of collaborative driving systems using mobile robots","year":2004,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Sherbrooke","funders":"","keywords":"Platoon; Emulation; Computer science; Mobile robot; Architecture; Robot; Control (management); Transport engineering; Engineering","score_opus":0.12418134043215306,"score_gpt":0.45519895031189855,"score_spread":0.3310176098797455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503337308","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":[0.4752256,0.00003510889,0.52131844,0.00003732792,0.000052219908,0.00035631683,0.000004112833,0.0000486807,0.0029221724],"genre_scores_gemma":[0.97817075,0.0000018935351,0.021427646,0.000013080502,0.00002532866,0.000024691562,0.0000016957524,0.00000509752,0.0003298325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986694,0.000041310937,0.000498366,0.00019766696,0.0005105654,0.00008268716],"domain_scores_gemma":[0.9984792,0.00026460923,0.00025045237,0.0003178493,0.0006493381,0.000038544033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005541304,0.00006188035,0.00015668335,0.00015463251,0.00010190204,0.00008998453,0.0001865489,0.000047446563,0.00010357772],"category_scores_gemma":[0.00018312795,0.00004677206,0.00003917508,0.0011440789,0.000038469323,0.00024091979,0.000038348935,0.00003103156,0.000027380473],"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":[0.0000014320486,0.000028432669,0.0036073325,0.0000011910976,0.0000028650286,1.2472874e-7,0.00020760852,0.9437734,0.008169649,0.04284196,0.00008231168,0.0012837248],"study_design_scores_gemma":[0.0010591185,0.00019950153,0.02151013,0.00011874557,0.00002732002,0.0000085664615,0.007377536,0.76421857,0.082033604,0.114921376,0.008031158,0.00049439044],"about_ca_topic_score_codex":0.00011829345,"about_ca_topic_score_gemma":0.000011940193,"teacher_disagreement_score":0.5029451,"about_ca_system_score_codex":0.00005234834,"about_ca_system_score_gemma":0.00007408978,"threshold_uncertainty_score":0.19073093},"labels":[],"label_agreement":null},{"id":"W1504812482","doi":"10.1109/wsc.2003.1261481","title":"Modelling differentiated services in conservative PDES","year":2004,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Computer science; Quality of service; Scalability; Overhead (engineering); Differentiated services; Distributed computing; Computer network; Asynchronous communication; Kernel (algebra); Operating system","score_opus":0.18247302000232996,"score_gpt":0.41507658932345687,"score_spread":0.2326035693211269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504812482","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":[0.6662771,0.000010242206,0.3273997,0.00073481567,0.00001156683,0.0001118477,0.0000024376382,0.00007080642,0.0053814356],"genre_scores_gemma":[0.98860186,0.0000050578165,0.010379197,0.0003344921,0.000007360478,0.000018306962,0.0000038236926,0.0000038035432,0.00064610597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898636,0.000024443862,0.00034032573,0.00022792186,0.00031776857,0.00010315372],"domain_scores_gemma":[0.99926865,0.00023491908,0.00007032659,0.00024634242,0.00014418075,0.000035575926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003156306,0.00006382708,0.00011184735,0.00015183924,0.00006169892,0.00010207794,0.00028846666,0.000040331324,0.00033202113],"category_scores_gemma":[0.000026995467,0.000044655255,0.000032657765,0.00068685954,0.000027234024,0.00018813499,0.000044338314,0.000054252832,0.00015449963],"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":[0.000014078502,0.00017511577,0.03553691,0.0000032879173,0.0000058610667,0.0000016733328,0.0014786201,0.7005706,0.00076843327,0.25777724,0.00013363334,0.0035345776],"study_design_scores_gemma":[0.00030921877,0.000010491053,0.01086495,0.000013613745,0.0000013557927,4.276794e-7,0.00065903587,0.36834922,0.004048057,0.61451286,0.0011425338,0.00008824816],"about_ca_topic_score_codex":0.00071922824,"about_ca_topic_score_gemma":0.00023198812,"teacher_disagreement_score":0.3567356,"about_ca_system_score_codex":0.000021543927,"about_ca_system_score_gemma":0.00001933979,"threshold_uncertainty_score":0.36353987},"labels":[],"label_agreement":null},{"id":"W1506575493","doi":"10.1007/978-1-4471-2783-3_7","title":"Experimentation and Output Analysis","year":2013,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","score_opus":0.22066791402135508,"score_gpt":0.5393900711360822,"score_spread":0.31872215711472707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506575493","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000073453804,0.0006745066,0.8449995,0.00061449746,0.00004625638,0.0016834756,0.00010398398,0.00018744713,0.15161692],"genre_scores_gemma":[0.06389645,0.00057762954,0.37994727,0.00059144746,0.00043378136,0.0016505962,0.0011438273,0.000117066054,0.55164194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99599135,0.00018836762,0.0015508572,0.0012615972,0.00078499643,0.00022285302],"domain_scores_gemma":[0.9929125,0.0035273924,0.0010545326,0.0012624996,0.0009915124,0.00025160186],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018502672,0.0004460619,0.0007206243,0.0013446282,0.0008862024,0.00094573083,0.0003805449,0.0004058546,0.002658237],"category_scores_gemma":[0.00034392957,0.0004152027,0.00027681206,0.000811928,0.00033540107,0.00052257674,0.0002099571,0.00028636018,0.00042189728],"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":[0.000002921945,0.00002073272,0.0001413118,0.000006049511,0.00015940602,6.2293346e-8,0.00011022979,0.0032966256,0.000033525295,0.52561194,0.0006099877,0.47000724],"study_design_scores_gemma":[0.00012715049,0.000014818454,0.0009106262,0.000006462921,0.000410486,0.0000010905567,0.000086134765,0.07343698,0.000022261405,0.36818033,0.556489,0.00031463575],"about_ca_topic_score_codex":0.00002604454,"about_ca_topic_score_gemma":0.000009305734,"teacher_disagreement_score":0.55587906,"about_ca_system_score_codex":0.00008514887,"about_ca_system_score_gemma":0.00006943973,"threshold_uncertainty_score":0.99983},"labels":[],"label_agreement":null},{"id":"W1508150693","doi":"10.1002/0471643505.ch9","title":"Monte Carlo Simulation","year":2004,"lang":"en","type":"other","venue":"","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":"Concordia University","funders":"","keywords":"Monte Carlo method; Histogram; Variance reduction; Discrete event simulation; Event (particle physics); Computer science; Random number generation; Stochastic simulation; Statistics; Mathematics; Statistical physics; Algorithm; Artificial intelligence; Physics","score_opus":0.15367625502922744,"score_gpt":0.47334402437562917,"score_spread":0.31966776934640173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508150693","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012456909,0.00009526893,0.09138966,0.0002356885,0.00009918821,0.00037755354,0.000027837228,0.00060003623,0.9071623],"genre_scores_gemma":[0.0879905,0.000008406526,0.0046565626,0.0002149567,0.00017802577,0.000024506016,0.0000032341218,0.00013065204,0.9067932],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983566,0.00002486845,0.0003570424,0.00040130023,0.00074744335,0.0001127683],"domain_scores_gemma":[0.9985636,0.00023570267,0.00023659981,0.00079533114,0.00010767209,0.00006113396],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028260675,0.00014084921,0.00020896285,0.00037968744,0.000044502507,0.00011834864,0.0004487647,0.00022739416,0.024257883],"category_scores_gemma":[0.00020466944,0.00010134611,0.00010880498,0.00046206338,0.000035052894,0.000047502268,0.0000564265,0.00008346877,0.0029564332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.96675e-7,0.000016673537,0.000069921065,0.0000012612617,0.0000052546593,4.6608403e-7,0.000015047687,0.047855154,9.976699e-7,0.0055942945,0.9238406,0.022599537],"study_design_scores_gemma":[0.00008540942,0.0000065364884,0.00008162032,0.000013113064,0.000004658289,2.3851314e-7,0.000014006498,0.017042479,0.000007848431,0.010687153,0.97192997,0.00012698746],"about_ca_topic_score_codex":0.00038130902,"about_ca_topic_score_gemma":0.00016524755,"teacher_disagreement_score":0.08797804,"about_ca_system_score_codex":0.0000354452,"about_ca_system_score_gemma":0.000046912803,"threshold_uncertainty_score":0.9978199},"labels":[],"label_agreement":null},{"id":"W1508513757","doi":"","title":"Making the most out of simulation","year":2015,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Environmental science","score_opus":0.12737317117371802,"score_gpt":0.38035937758217997,"score_spread":0.2529862064084619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508513757","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":[0.5193621,0.000044252625,0.47745293,0.0010828652,0.0002450387,0.000110072346,0.000014635187,0.000007349062,0.0016807519],"genre_scores_gemma":[0.99848837,0.000019360761,0.0006873185,0.000024974537,0.00014865032,2.3717327e-8,0.0000023461803,0.0000035905252,0.0006253475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976334,0.00036738726,0.0006464595,0.000108529064,0.0011448133,0.00009940226],"domain_scores_gemma":[0.9947591,0.0015508594,0.001696897,0.00050918787,0.0014257974,0.000058146652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042374157,0.00008702369,0.0004001128,0.00038555585,0.00019240958,0.000036392452,0.0012450904,0.00005630868,0.00014287107],"category_scores_gemma":[0.0006027281,0.00005019315,0.00034614463,0.0016335082,0.00023502234,0.00021501511,0.00013542762,0.00015129666,0.000008918566],"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":[0.0004145976,0.000047807483,0.009966441,0.0000013274921,0.00040794964,0.0000017772973,0.0021787304,0.98175704,0.00018216371,0.0009560277,0.001285378,0.0028007452],"study_design_scores_gemma":[0.0015244376,0.00020411293,0.029762829,0.000020438347,0.0027725047,0.000008202947,0.010929978,0.9062269,0.000021780696,0.030088384,0.018274104,0.00016632777],"about_ca_topic_score_codex":0.00046360877,"about_ca_topic_score_gemma":0.0012181117,"teacher_disagreement_score":0.47912627,"about_ca_system_score_codex":0.00009828873,"about_ca_system_score_gemma":0.00013454631,"threshold_uncertainty_score":0.23137084},"labels":[],"label_agreement":null},{"id":"W1513280077","doi":"10.5555/1357910.1357964","title":"A flexible dynamic structure DEVS algorithm towards real-time systems","year":2007,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Distributed computing; Exploit; Process (computing); Real-time computing; Modeling and simulation; Simulation; Operating system","score_opus":0.09697176704486735,"score_gpt":0.41462809852850085,"score_spread":0.3176563314836335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513280077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032440007,0.000029479923,0.9628767,0.00014398416,0.00048231377,0.00056442915,0.00007808532,0.00043508134,0.0029499491],"genre_scores_gemma":[0.9382141,0.000004658623,0.05919051,0.00015939809,0.00022974912,0.00001029466,0.000078492296,0.000022583423,0.0020901815],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99637324,0.00013371448,0.0010769202,0.0007619772,0.0012464906,0.00040763518],"domain_scores_gemma":[0.9960211,0.0010522146,0.00041217415,0.0009568822,0.001347144,0.00021052036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013578383,0.00027813084,0.00039589763,0.00044990558,0.00027095736,0.0006387695,0.0008526006,0.000208095,0.00070504274],"category_scores_gemma":[0.00010306378,0.00023452043,0.00012232101,0.0011276333,0.00009414654,0.00045208246,0.00019666822,0.00019209654,0.00038945637],"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":[0.000019537778,0.00004950854,0.0012681659,0.0000062641666,0.000022423907,0.00000469154,0.0003360686,0.18477142,0.0006213483,0.008700887,0.001213186,0.8029865],"study_design_scores_gemma":[0.00028149027,0.00004482201,0.018355938,0.0000195127,0.00000934957,0.0000042000697,0.000052425967,0.95186734,0.00030789254,0.0100963,0.018681912,0.0002788342],"about_ca_topic_score_codex":0.0001461395,"about_ca_topic_score_gemma":0.00001972313,"teacher_disagreement_score":0.9057741,"about_ca_system_score_codex":0.00010214293,"about_ca_system_score_gemma":0.00014067533,"threshold_uncertainty_score":0.9563465},"labels":[],"label_agreement":null},{"id":"W1516856031","doi":"10.1109/hicss.1999.773083","title":"On metrics for the dynamic load balancing of optimistic simulations","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Parallel computing; Granularity; Pipeline (software); Synchronization (alternating current); Metric (unit); Execution time; Workload; Load balancing (electrical power); Distributed computing; Real-time computing; Grid","score_opus":0.11161661614469023,"score_gpt":0.4399480682817821,"score_spread":0.3283314521370919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516856031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007297485,0.000032809894,0.98006636,0.0003634683,0.00005310953,0.00038919848,0.00002517461,0.00003158235,0.011740813],"genre_scores_gemma":[0.97365886,0.000002683805,0.02333643,0.00016790308,0.000004869678,0.000025002006,0.0000015729021,0.0000049519126,0.0027977522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988549,0.000029492385,0.00035589383,0.0001700115,0.0004996796,0.00009002287],"domain_scores_gemma":[0.98778033,0.011121733,0.00012903998,0.0004839803,0.00045734536,0.000027572632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079143,0.00005642275,0.00010213127,0.00012321351,0.00017324377,0.00004810426,0.00027266948,0.000032348253,0.00051050854],"category_scores_gemma":[0.0076133017,0.000031714433,0.00007822125,0.0009753883,0.000035063415,0.000043519194,0.000013828295,0.000039002745,0.000023382361],"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":[0.0000058826085,0.000058595022,0.0003644058,0.000001594588,0.000007928245,3.2604436e-8,0.00005081312,0.33195624,0.00031052672,0.64916563,0.0037971642,0.014281178],"study_design_scores_gemma":[0.00015056333,0.00003209632,0.00063963415,0.0000021749402,0.000010641458,3.0072172e-7,0.0001050046,0.78289723,0.001120696,0.19513153,0.019856174,0.000053929984],"about_ca_topic_score_codex":0.0000073861947,"about_ca_topic_score_gemma":0.000011096755,"teacher_disagreement_score":0.96636134,"about_ca_system_score_codex":0.000036210804,"about_ca_system_score_gemma":0.00005273101,"threshold_uncertainty_score":0.91143835},"labels":[],"label_agreement":null},{"id":"W1524134625","doi":"10.4271/2002-01-0760","title":"AMPS, Skidmarks and ITS: Managing Merging to Improve Safety and Traffic Flow","year":2002,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Traffic flow (computer networking); Flow (mathematics); Transport engineering; Computer security; Engineering","score_opus":0.028836704168333584,"score_gpt":0.3116728017910496,"score_spread":0.28283609762271605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524134625","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":[0.7561274,0.0036185454,0.00020684143,0.08588634,0.0005731537,0.006325736,0.00039231937,0.007868125,0.13900155],"genre_scores_gemma":[0.9842083,0.0010090244,0.00901712,0.003419777,0.00012398908,0.00028430938,0.000011772265,0.00008671204,0.0018390252],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99391246,0.00018495132,0.0016110863,0.0019478376,0.0014740324,0.0008696539],"domain_scores_gemma":[0.99549574,0.0016614906,0.00029356725,0.00162168,0.00021787854,0.00070963305],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018090388,0.0006841748,0.0009625792,0.0004990865,0.0009104753,0.0004545443,0.0012565658,0.0005744027,0.0011939782],"category_scores_gemma":[0.002272699,0.00055677874,0.00028477266,0.0016967251,0.0005999675,0.0007105573,0.0008321845,0.00090943836,0.00020942169],"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":[0.00020009976,0.00023288802,0.00008166867,0.000023659471,0.00002923797,0.000020234931,0.00014405996,0.00030028613,0.6556788,0.026906142,0.007978036,0.3084049],"study_design_scores_gemma":[0.00087107014,0.00089169026,0.67491657,0.00015744069,0.00007065492,0.000094888426,0.00035404763,0.00009284808,0.00011636114,0.010199974,0.31114027,0.0010941969],"about_ca_topic_score_codex":0.000012700615,"about_ca_topic_score_gemma":0.005779327,"teacher_disagreement_score":0.6748349,"about_ca_system_score_codex":0.00016237935,"about_ca_system_score_gemma":0.000027351243,"threshold_uncertainty_score":0.9997191},"labels":[],"label_agreement":null},{"id":"W1525941339","doi":"10.1007/0-387-28696-9","title":"Markov Processes, Brownian Motion, and Time Symmetry","year":2005,"lang":"de","type":"book","venue":"Grundlehren der mathematischen Wissenschaften","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":213,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Brownian motion; Statistical physics; Symmetry (geometry); Markov chain; Markov process; Classical mechanics; Physics; Mathematics; Geometry; Statistics; Quantum mechanics","score_opus":0.032165513822384875,"score_gpt":0.3109570635995808,"score_spread":0.27879154977719595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525941339","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011138436,0.054394703,0.12679948,0.025905192,0.0011894217,0.016248172,0.0041810772,0.0041722823,0.75597125],"genre_scores_gemma":[0.05545882,0.0012717675,0.09338838,0.0013797951,0.002623605,0.00057279074,0.0009119099,0.0005581384,0.8438348],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903216,0.00031521916,0.0029395393,0.0026258426,0.0026619642,0.0011358546],"domain_scores_gemma":[0.99026304,0.002523185,0.0018768508,0.0027794307,0.0016985972,0.0008588738],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0027305866,0.001506324,0.0020271,0.0012555553,0.00107511,0.0014767479,0.001986495,0.0014359336,0.0072876844],"category_scores_gemma":[0.0018261133,0.0013438555,0.00045210085,0.0016511091,0.0008201264,0.0009463301,0.0009841342,0.0011143319,0.016549677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001582491,0.0012761138,0.0022333278,0.0022238127,0.0015390075,0.00009437434,0.0039501195,0.00004865107,0.00055248436,0.08007523,0.604339,0.30350962],"study_design_scores_gemma":[0.0013893545,0.00021041007,0.0024199553,0.0014549348,0.0010384081,0.0005016732,0.00028768447,0.006126528,0.00048255068,0.26387668,0.7191063,0.0031055224],"about_ca_topic_score_codex":0.00003318565,"about_ca_topic_score_gemma":0.000023266952,"teacher_disagreement_score":0.3004041,"about_ca_system_score_codex":0.0002583578,"about_ca_system_score_gemma":0.00070216047,"threshold_uncertainty_score":0.9998604},"labels":[],"label_agreement":null},{"id":"W1529234757","doi":"","title":"Proceedings of the 2008 Spring simulation multiconference","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Session (web analytics); Variety (cybernetics); Library science; Work (physics); Computer science; Political science; Operations research; Engineering; World Wide Web; Artificial intelligence","score_opus":0.21752313438765752,"score_gpt":0.4120640091574385,"score_spread":0.194540874769781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529234757","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":[0.9511986,0.000004553153,0.025335688,0.00033201877,0.000023674591,0.0002037255,0.0000011096722,0.0000514113,0.022849243],"genre_scores_gemma":[0.9921895,0.0000023117902,0.0049321367,0.00007285984,0.000015095117,0.000007171346,6.6061915e-8,0.0000029622563,0.0027778614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989331,0.000006240688,0.00032394676,0.00015514452,0.00051136635,0.000070221504],"domain_scores_gemma":[0.99879676,0.0003166509,0.0001547287,0.00020901462,0.0004976032,0.000025246221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002998512,0.000047104088,0.00008181089,0.00005903817,0.00015640276,0.000024951243,0.00041001252,0.000031270134,0.00023407336],"category_scores_gemma":[0.0005982031,0.000026215595,0.000056939505,0.0005339079,0.00008704073,0.00016047059,0.00008117593,0.000046399033,0.000041015373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010434339,0.00012280731,0.7945612,0.0000037123555,0.0000059301133,1.9349334e-7,0.00098023,0.021560708,0.023691615,0.13130072,0.0046336423,0.023128795],"study_design_scores_gemma":[0.00014995283,0.000012118204,0.5801595,0.000007697323,0.0000029680548,0.0000027500228,0.0001725941,0.33790037,0.05187239,0.016116185,0.013508661,0.000094858464],"about_ca_topic_score_codex":0.0000393173,"about_ca_topic_score_gemma":0.000003162436,"teacher_disagreement_score":0.31633964,"about_ca_system_score_codex":0.00000807023,"about_ca_system_score_gemma":0.0000203202,"threshold_uncertainty_score":0.25629392},"labels":[],"label_agreement":null},{"id":"W1529805037","doi":"10.22215/etd/2012-09681","title":"A framework for interoperability of virtual reality and simulation models in support of training","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Interoperability; Computer science; Virtual reality; Human–computer interaction; World Wide Web","score_opus":0.34335893313860366,"score_gpt":0.5152276401358705,"score_spread":0.17186870699726686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529805037","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":[0.47591788,0.000016400896,0.5203992,0.000056275007,0.000064485415,0.00069373084,0.0001096112,0.000018757375,0.0027236694],"genre_scores_gemma":[0.98729575,0.0000042005995,0.011838111,0.000023216684,0.00002066946,0.000073553114,0.00015478929,0.000011344637,0.0005783699],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977353,0.00007253921,0.0012755578,0.00034721065,0.0004469238,0.00012243296],"domain_scores_gemma":[0.9959058,0.0024607526,0.0005973115,0.00043072682,0.0005567016,0.000048682887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023677896,0.00012907416,0.0004886594,0.00026270287,0.000030889994,0.00002108665,0.00023806564,0.00030433424,0.0002134543],"category_scores_gemma":[0.0014680807,0.000103626924,0.000113921924,0.0003456001,0.000055445773,0.0002433252,0.000026070851,0.00013051339,7.35381e-7],"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":[0.0006866774,0.00046047082,0.005080969,0.00020379218,0.000034070137,6.695259e-8,0.03501161,0.075474136,0.00088966003,0.48735806,0.00036135467,0.39443913],"study_design_scores_gemma":[0.00025530017,0.00014262645,0.021548193,0.00006867429,0.000023226223,1.3239502e-7,0.005379142,0.17882338,0.0015371046,0.79148287,0.00055965886,0.00017969435],"about_ca_topic_score_codex":0.00009666184,"about_ca_topic_score_gemma":0.00019674335,"teacher_disagreement_score":0.5113779,"about_ca_system_score_codex":0.000021127125,"about_ca_system_score_gemma":0.00007560978,"threshold_uncertainty_score":0.42257833},"labels":[],"label_agreement":null},{"id":"W1537072408","doi":"10.1007/978-1-4471-2783-3_5","title":"DEDS Simulation Model Development","year":2013,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","score_opus":0.2817618671520659,"score_gpt":0.5270112989688508,"score_spread":0.24524943181678488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537072408","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":[0.0000230485,0.00025206717,0.7933726,0.00034408076,0.00006276661,0.0022687872,0.000070138674,0.00032711503,0.20327942],"genre_scores_gemma":[0.027709946,0.00008848142,0.5407816,0.00041515534,0.00032776952,0.0012343443,0.00064346846,0.00013607362,0.42866313],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99415314,0.00017043012,0.0024524934,0.0015309197,0.0013166086,0.0003764319],"domain_scores_gemma":[0.9896878,0.004788613,0.0014353143,0.0017693802,0.0019780637,0.00034084276],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027170158,0.0006736385,0.00077202107,0.0009791178,0.0014470187,0.0009127858,0.0007725589,0.0006848283,0.003236124],"category_scores_gemma":[0.0006666607,0.00063771463,0.00027070713,0.0005015136,0.00028966155,0.0007045285,0.00032532695,0.0005048768,0.0018926114],"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":[0.0000031252368,0.000025170992,0.00001039765,0.000008216531,0.000025766598,4.8080683e-8,0.000075625234,0.30148533,0.000020726913,0.2973466,0.00049485057,0.40050414],"study_design_scores_gemma":[0.00009376474,0.0000063155444,0.000040359828,0.00001224156,0.000037362966,5.770844e-7,0.000013351591,0.35440397,0.000017865183,0.27312413,0.3719649,0.0002851467],"about_ca_topic_score_codex":0.0000053125978,"about_ca_topic_score_gemma":0.0000069477574,"teacher_disagreement_score":0.400219,"about_ca_system_score_codex":0.00023143228,"about_ca_system_score_gemma":0.0003629652,"threshold_uncertainty_score":0.99985296},"labels":[],"label_agreement":null},{"id":"W1543326089","doi":"","title":"Proceedings of the 2007 Summer Computer Simulation Conference","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":72,"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":"Computer science; Panel discussion; Procurement; Pleasure; Library science; Operations research; Engineering management; Engineering; Psychology; Management","score_opus":0.18756489460086717,"score_gpt":0.4451831713843832,"score_spread":0.257618276783516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543326089","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":[0.32590106,0.0000025900363,0.600113,0.00046646016,0.00008184001,0.00026407943,0.0000019257668,0.00005117475,0.07311786],"genre_scores_gemma":[0.98867255,3.0961263e-7,0.007620696,0.00033392626,0.000054458873,0.000002003885,2.890211e-7,0.0000029056275,0.0033128352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987739,0.0000052398027,0.00040380293,0.00016529867,0.0005566516,0.0000951608],"domain_scores_gemma":[0.9983155,0.00049270765,0.0001778496,0.00018655449,0.00079403655,0.000033315297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012328919,0.000051492625,0.000084681655,0.00007302716,0.00007636847,0.000059367427,0.0004004884,0.000043942837,0.000736116],"category_scores_gemma":[0.00014876162,0.000027970831,0.000056319255,0.0005622499,0.00007022461,0.00013706776,0.000080968486,0.00004995934,0.000053946125],"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":[0.000023278826,0.00012897419,0.22133501,0.0000041665357,0.000008047516,8.952834e-8,0.00054636033,0.006057627,0.0045238547,0.5495866,0.05862608,0.1591599],"study_design_scores_gemma":[0.00023198531,0.000036987913,0.4513838,0.00001332842,0.000006736813,0.000001126548,0.00036293402,0.29382646,0.03326756,0.07514745,0.14556345,0.00015816517],"about_ca_topic_score_codex":0.000013126572,"about_ca_topic_score_gemma":0.0000054764014,"teacher_disagreement_score":0.6627715,"about_ca_system_score_codex":0.000009097131,"about_ca_system_score_gemma":0.000012029524,"threshold_uncertainty_score":0.8059954},"labels":[],"label_agreement":null},{"id":"W1543571078","doi":"10.1007/11428848_49","title":"Simulating Market Dynamics with CD++","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Formalism (music); Purchasing; Dynamics (music); System dynamics; Computational science; Theoretical computer science; Distributed computing; Parallel computing; Simulation; Artificial intelligence; Modeling and simulation; Physics","score_opus":0.04182254400018608,"score_gpt":0.34164979979151466,"score_spread":0.2998272557913286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543571078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021972597,0.000053391806,0.9489333,0.00093340187,0.00016516876,0.00038801756,0.00001545432,0.00012327972,0.049168278],"genre_scores_gemma":[0.594489,0.000009765593,0.39497307,0.0013126564,0.00049351377,0.0000118393355,0.00000861292,0.00004595744,0.008655619],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99557525,0.00002753467,0.0007276701,0.0012982814,0.0019747242,0.00039653495],"domain_scores_gemma":[0.9953102,0.0021909303,0.0004442901,0.0013923183,0.0005274992,0.00013480365],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001836386,0.0003621599,0.00043703723,0.0008158961,0.00030877517,0.0006124895,0.0020246012,0.0002470601,0.00055538956],"category_scores_gemma":[0.00034231893,0.00026090443,0.00010181513,0.00094781193,0.00065073883,0.00032784697,0.00049012527,0.000551118,0.00007301127],"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":[0.000006251134,0.000010411487,0.00040754484,0.0000023114387,0.000002570999,0.000006164583,0.00008213014,0.18189134,0.000003813137,0.008332083,0.00007603482,0.80917937],"study_design_scores_gemma":[0.000109587534,0.000054871554,0.00038266476,0.00009065954,0.000004565555,0.000015438041,3.9282193e-7,0.7931635,0.000044011296,0.19622491,0.009589549,0.0003198784],"about_ca_topic_score_codex":0.000011145701,"about_ca_topic_score_gemma":0.00029935504,"teacher_disagreement_score":0.80885947,"about_ca_system_score_codex":0.00029553758,"about_ca_system_score_gemma":0.0002735983,"threshold_uncertainty_score":0.9999843},"labels":[],"label_agreement":null},{"id":"W1548719679","doi":"10.5555/1357910.1357998","title":"A formalization of global simulation models for continuous/discrete systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Polytechnique Montréal","funders":"","keywords":"Toolbox; Computer science; Representation (politics); Synchronization (alternating current); Discrete event simulation; Simulation language; Theoretical computer science; Simulation modeling; Continuous modelling; Distributed computing; Formal verification; Systems simulation; Discrete modelling; Discrete system; Programming language; Simulation; Mathematics","score_opus":0.13760463756739574,"score_gpt":0.46495885929085273,"score_spread":0.32735422172345696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548719679","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":[0.021626744,0.000024891091,0.9614033,0.000052478958,0.0000660897,0.0007646012,0.000044685734,0.00008246072,0.015934734],"genre_scores_gemma":[0.98774683,7.614033e-7,0.011427438,0.000045568217,0.000038539092,0.000025750609,0.00001438753,0.000004984083,0.00069575326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834174,0.000019227975,0.0007767937,0.00020773614,0.0005147029,0.00013979312],"domain_scores_gemma":[0.9976976,0.00074846845,0.00030880308,0.00031524544,0.0008787961,0.000051108997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019048934,0.00007083467,0.0001724486,0.00007649794,0.00008026791,0.0000708848,0.00022134668,0.00007458955,0.000029851491],"category_scores_gemma":[0.0003276414,0.000053423235,0.000086805936,0.0005783881,0.000027630096,0.00035922203,0.000027528638,0.000016666487,0.000007039964],"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":[0.000027835331,0.000015339634,0.0022785126,0.0000036030488,0.0000031214495,2.727442e-8,0.000042830372,0.4859051,0.00007378033,0.5034718,0.0005793338,0.007598702],"study_design_scores_gemma":[0.00020864242,0.0000349513,0.0010123153,0.000004993384,0.0000053339822,4.5649568e-7,0.00028948986,0.87034154,0.0004497576,0.12217143,0.005420637,0.00006045301],"about_ca_topic_score_codex":0.00004937021,"about_ca_topic_score_gemma":0.000018494715,"teacher_disagreement_score":0.96612006,"about_ca_system_score_codex":0.000036398844,"about_ca_system_score_gemma":0.000021513946,"threshold_uncertainty_score":0.21785364},"labels":[],"label_agreement":null},{"id":"W1556367361","doi":"10.1109/wsc.2003.1261479","title":"Models for continuous and hybrid system simulation","year":2004,"lang":"en","type":"article","venue":"","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":"DEVS; Rotation formalisms in three dimensions; Computer science; Formalism (music); Hybrid system; Abstraction; Discrete event simulation; Continuous modelling; Modeling and simulation; Continuous variable; Distributed computing; Theoretical computer science; Simulation; Mathematics; Mathematical optimization; Machine learning","score_opus":0.14056772114046448,"score_gpt":0.4158041964961756,"score_spread":0.27523647535571116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556367361","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":[0.05959754,0.000017064523,0.9331492,0.00035232768,0.000025021382,0.00045373026,0.000013238883,0.00015631913,0.0062355692],"genre_scores_gemma":[0.978056,7.5969825e-7,0.020890702,0.00011202382,0.00002897405,0.000052274885,0.0000030837539,0.0000052749165,0.0008508984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991472,0.000010056477,0.00029070445,0.0002258187,0.00024254275,0.00008369797],"domain_scores_gemma":[0.9989071,0.0004910142,0.00007738254,0.00023262546,0.00024525842,0.000046614092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036546,0.00005446328,0.000112792215,0.000074206495,0.00012226794,0.00012489413,0.00012254101,0.000025693473,0.000014643781],"category_scores_gemma":[0.00012651947,0.000039481194,0.00003964102,0.00013018283,0.00002140065,0.0002018702,0.000024380608,0.00001884483,0.000020720005],"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":[0.0000065314953,0.0000123230875,0.00006362271,0.0000026500945,0.0000018831255,1.5521242e-7,0.000046718917,0.44936088,0.000074274656,0.52731526,0.00037390497,0.022741769],"study_design_scores_gemma":[0.00026667013,0.000020107856,0.00008586719,0.0000039573083,0.0000028873753,0.0000019930244,0.000149641,0.6734923,0.0008682317,0.32060617,0.004451444,0.000050701175],"about_ca_topic_score_codex":0.000018875095,"about_ca_topic_score_gemma":0.0000022801898,"teacher_disagreement_score":0.91845846,"about_ca_system_score_codex":0.0000235824,"about_ca_system_score_gemma":0.000014478767,"threshold_uncertainty_score":0.16099963},"labels":[],"label_agreement":null},{"id":"W1558014782","doi":"10.1002/j.2334-5837.2007.tb02955.x","title":"8.4.2 Exploring Concurrent Activities: Using State Machines to Understand Net‐Enabled Operations","year":2007,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Exploit; Workflow; Task (project management); Process (computing); Dissemination; Sample (material); State (computer science); Software engineering; Industrial engineering; Systems engineering; Database; Engineering; Computer security; Operating system; Algorithm","score_opus":0.28452848782415113,"score_gpt":0.4487091021367975,"score_spread":0.16418061431264636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558014782","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":[0.601653,0.000008025671,0.39150196,0.0017161837,0.00082654547,0.0002735898,0.000054588054,0.00008975673,0.0038763485],"genre_scores_gemma":[0.99339247,0.000015222001,0.004237121,0.00048446906,0.00030216321,0.000036979865,0.000015216457,0.000019352225,0.0014969916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743193,0.00003757194,0.00073333166,0.00044510482,0.0010881383,0.0002639384],"domain_scores_gemma":[0.9982037,0.00065963675,0.00013016393,0.0003565038,0.0004660021,0.00018402752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001280867,0.00016711796,0.0001801761,0.00040688366,0.00030172511,0.000500181,0.0006684205,0.000041000156,0.0003450008],"category_scores_gemma":[0.00027180547,0.00014625864,0.00009483128,0.00063856656,0.00005291458,0.0008959343,0.00021567829,0.00013534413,0.00010402439],"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":[0.0002447701,0.00067947624,0.00917999,0.000009564561,0.00018984388,0.000043252185,0.012358142,0.49219704,0.23383805,0.10199309,0.0044052005,0.14486158],"study_design_scores_gemma":[0.0022966503,0.00032323654,0.012762213,0.00020966357,0.000053835498,0.00010387014,0.009450985,0.5066878,0.16065983,0.039156497,0.26646653,0.0018288502],"about_ca_topic_score_codex":0.00036432658,"about_ca_topic_score_gemma":0.00038897037,"teacher_disagreement_score":0.3917395,"about_ca_system_score_codex":0.0003609791,"about_ca_system_score_gemma":0.000064642794,"threshold_uncertainty_score":0.5964254},"labels":[],"label_agreement":null},{"id":"W1560383815","doi":"10.3390/books978-3-0365-5940-7","title":"Modeling and Simulation in Engineering","year":2022,"lang":"en","type":"book","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Science and Technology Agency; Core Research for Evolutional Science and Technology; Natural Sciences and Engineering Research Council of Canada; Siemens; University of Hong Kong","keywords":"Computer science","score_opus":0.12162842157345868,"score_gpt":0.3990559740872445,"score_spread":0.2774275525137858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560383815","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011020778,0.00019881646,0.6049182,0.00016627136,0.00007226669,0.00048882724,0.000015913161,0.00018516772,0.39285246],"genre_scores_gemma":[0.32351062,0.000020490514,0.0034341684,0.00010606593,0.000060063663,0.00004991979,0.000029660283,0.000024983743,0.672764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867445,0.00001311216,0.00042558144,0.00031470874,0.0004936944,0.000078457786],"domain_scores_gemma":[0.9989446,0.0006237462,0.000057331545,0.000286997,0.00005679909,0.000030538657],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006983708,0.000094626244,0.00016628126,0.0004288237,0.00004996843,0.000079715996,0.00020114711,0.00008914007,0.0015183571],"category_scores_gemma":[0.00020961279,0.000085451036,0.0000378655,0.00020317717,0.0000065641893,0.000089047644,0.0001436681,0.00018832911,0.000019218429],"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":[7.0544087e-7,0.0000023838004,0.000017455955,0.0000016018074,7.5892314e-7,3.4817822e-7,0.000030194908,0.97893256,0.0000012691148,0.014180498,0.00072811486,0.00610412],"study_design_scores_gemma":[0.00003782483,0.0000038581406,0.000012676439,0.0000053443114,0.0000014197976,3.2066274e-7,0.000012563822,0.8117617,5.351589e-7,0.055836022,0.13224918,0.000078579826],"about_ca_topic_score_codex":0.000011823074,"about_ca_topic_score_gemma":0.000007352639,"teacher_disagreement_score":0.601484,"about_ca_system_score_codex":0.0000841696,"about_ca_system_score_gemma":0.000047089987,"threshold_uncertainty_score":0.9993944},"labels":[],"label_agreement":null},{"id":"W1561331246","doi":"","title":"Federation Development and Execution Process (FEDEP) Tools in Support of NATO Modelling & Simulation (M&S) Programmes (Des outils d'aide au processus de d'eveloppement et d'execution de federations (FEDEP))","year":2004,"lang":"fr","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Process (computing); Web application; Database; Computer science; Political science; World Wide Web; Library science; Engineering; Operating system","score_opus":0.18172874906853334,"score_gpt":0.42718658665050363,"score_spread":0.2454578375819703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561331246","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":[0.4158059,0.00017990223,0.5788202,0.0026770306,0.000050483097,0.001285459,0.000017526932,0.00011003493,0.0010534605],"genre_scores_gemma":[0.8576048,0.00013553681,0.1404127,0.00036696903,0.000048011327,0.00049906137,0.00013000588,0.000033492262,0.0007694394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951412,0.00021634751,0.0019517159,0.0008670246,0.0010589809,0.0007647276],"domain_scores_gemma":[0.9972218,0.0004710791,0.0005656768,0.00032627134,0.0011518219,0.00026333594],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0035788075,0.00043030496,0.00048243345,0.00033561795,0.0010544866,0.0010928797,0.00030936167,0.00040167035,0.00007335489],"category_scores_gemma":[0.00066868245,0.00043673703,0.00010052057,0.00126247,0.00024949643,0.0020765245,0.000105193634,0.00029122294,0.00001502896],"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":[0.00006522233,0.0006292689,0.005248346,0.00019166326,0.000023734827,0.0000030388437,0.01535161,0.7451635,0.00031691106,0.020000532,0.000027173008,0.212979],"study_design_scores_gemma":[0.0023408676,0.00039182647,0.00976222,0.00071717286,0.00008344878,0.000045252396,0.009546991,0.74629545,0.085438125,0.13124198,0.013085378,0.0010513045],"about_ca_topic_score_codex":0.0012136879,"about_ca_topic_score_gemma":0.0045348667,"teacher_disagreement_score":0.4417989,"about_ca_system_score_codex":0.0014883683,"about_ca_system_score_gemma":0.002617925,"threshold_uncertainty_score":0.9999441},"labels":[],"label_agreement":null},{"id":"W1573422837","doi":"10.5555/2500004.2500013","title":"Visualization in 3ds max for cell-DEVS models based on building information modeling","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Visualization; Computer science; Interoperability; Discrete event simulation; Animation; Modeling and simulation; Simulation; Data mining; Computer graphics (images)","score_opus":0.13816006928880079,"score_gpt":0.4214582248043343,"score_spread":0.2832981555155335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573422837","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":[0.053798333,0.0000014768347,0.93485636,0.0004297255,0.00002653394,0.0008530579,0.0000048580914,0.000101962294,0.009927722],"genre_scores_gemma":[0.95190984,0.0000011577839,0.046580072,0.00090364035,0.0000145080085,0.00032926517,0.000025847035,0.0000068278296,0.00022882555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985368,0.000025829459,0.00062196713,0.00019001708,0.0004806744,0.0001446705],"domain_scores_gemma":[0.998677,0.00041205564,0.00012779202,0.0002958798,0.0004401028,0.000047139507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080840744,0.000088041015,0.00011280285,0.00046766744,0.00010777288,0.00029738861,0.00024563773,0.000076635486,0.00022954187],"category_scores_gemma":[0.00023965705,0.00006925614,0.00005297547,0.0006082984,0.000008187682,0.0014856887,0.000024429217,0.00004510332,0.0001060579],"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":[0.000005149494,0.000024609446,0.00007863238,0.0000024111869,2.4630532e-7,5.337822e-9,0.00007865263,0.94213194,0.00013483102,0.045324497,0.0012920104,0.010927008],"study_design_scores_gemma":[0.00026928933,0.00002321308,0.000045745648,0.000006503077,9.341675e-7,3.8050253e-8,0.00015711071,0.86599493,0.0014603063,0.13105841,0.00090220844,0.000081316306],"about_ca_topic_score_codex":0.000117787706,"about_ca_topic_score_gemma":0.0000043399837,"teacher_disagreement_score":0.8981115,"about_ca_system_score_codex":0.000048521943,"about_ca_system_score_gemma":0.00003168454,"threshold_uncertainty_score":0.28677252},"labels":[],"label_agreement":null},{"id":"W1574212434","doi":"10.1023/a:1014536803451","title":"N-dimensional Cell-DEVS Models","year":2002,"lang":"en","type":"article","venue":"Discrete Event Dynamic Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Extension (predicate logic); Hierarchy; Base (topology); Distributed computing; Theoretical computer science; Simulation; Modeling and simulation; Programming language; Mathematics","score_opus":0.08963847491027477,"score_gpt":0.36627215396460494,"score_spread":0.2766336790543302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574212434","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":[0.20755236,0.0021137856,0.7001487,0.0019456944,0.0014046525,0.0018820508,0.00032005223,0.0006361237,0.083996564],"genre_scores_gemma":[0.9679666,0.000012516016,0.0005724567,0.00008532558,0.000057432535,0.000103807884,0.000026896267,0.00001920688,0.031155728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99698573,0.00013339889,0.0008214116,0.0005171146,0.0012813304,0.00026098543],"domain_scores_gemma":[0.9981459,0.00037325546,0.0002842679,0.000840753,0.00021588284,0.00013996997],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008264406,0.000170924,0.00026858452,0.00018663066,0.00021139352,0.00020044282,0.0005999189,0.000098575154,0.00060226966],"category_scores_gemma":[0.00007427912,0.0001271177,0.0001755545,0.0005293689,0.000049996615,0.00028995133,0.000099272904,0.00010897755,0.0012413999],"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":[0.000016502347,0.00031041517,0.0014196358,0.000027572916,0.000041058956,0.000014003215,0.0011489016,0.7890783,0.0017001077,0.075636975,0.11654861,0.014057949],"study_design_scores_gemma":[0.00018157181,0.000020902531,0.00018018116,0.00001873207,0.000006320387,0.000009373868,0.00027015674,0.96938866,0.000025669127,0.015038876,0.014688307,0.0001712509],"about_ca_topic_score_codex":0.00007306173,"about_ca_topic_score_gemma":0.0000052309742,"teacher_disagreement_score":0.7604143,"about_ca_system_score_codex":0.00007524594,"about_ca_system_score_gemma":0.000014945659,"threshold_uncertainty_score":0.9995363},"labels":[],"label_agreement":null},{"id":"W1574443213","doi":"","title":"Advancing Simulation Reusability - Report on NATO MSG-042 Findings","year":2006,"lang":"en","type":"article","venue":"TNO Repository","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reusability; Reuse; Multinational corporation; Excellence; Operational excellence; Resource (disambiguation); Task (project management); Yesterday; Agile software development; Computer science; Process management; Engineering; Knowledge management; Engineering management; Business; Systems engineering; Software engineering; Software; Political science","score_opus":0.03994258567831109,"score_gpt":0.3955555486870806,"score_spread":0.3556129630087695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574443213","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":[0.89977306,0.00002490136,0.026097823,0.0004254836,0.00029911127,0.00037378774,0.0000035049302,0.00034095283,0.07266138],"genre_scores_gemma":[0.98664904,3.8882794e-7,0.002569065,0.0001131499,0.000256541,0.00003438267,0.000010600929,0.000014335997,0.010352512],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99698997,0.00009923072,0.0009772918,0.0006575095,0.0010662938,0.00020972741],"domain_scores_gemma":[0.99666125,0.0013031139,0.0003388119,0.0012420383,0.0003791753,0.000075622316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017028442,0.00014069125,0.00020465408,0.00017668582,0.00040706602,0.00017165513,0.00035051853,0.00011672235,0.00011003724],"category_scores_gemma":[0.0011911851,0.00011877382,0.00013543226,0.0005575431,0.000075466334,0.0002818238,0.00007046943,0.0001504472,0.00013250219],"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":[0.00015587873,0.0009112925,0.4401401,0.000022061937,0.000023280261,0.00023583695,0.00036540948,0.36489946,0.050602663,0.031499814,0.08073131,0.030412894],"study_design_scores_gemma":[0.00039280858,0.00013699035,0.38029906,0.000045824705,0.000023206409,0.00011109374,0.000120385324,0.048186895,0.08277924,0.105309054,0.3820178,0.0005776335],"about_ca_topic_score_codex":0.00014567912,"about_ca_topic_score_gemma":0.000008479826,"teacher_disagreement_score":0.31671256,"about_ca_system_score_codex":0.00016710233,"about_ca_system_score_gemma":0.000056971596,"threshold_uncertainty_score":0.4843456},"labels":[],"label_agreement":null},{"id":"W1575099958","doi":"10.1177/0037549715598570","title":"Designing DEVS visual interfaces for end-user programmers","year":2015,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"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); Simon Fraser University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Computer science; USable; Formalism (music); Notation; Human–computer interaction; User interface; Discrete event simulation; Software; Software engineering; Modeling and simulation; Programming language; Simulation; World Wide Web","score_opus":0.3203876330844807,"score_gpt":0.5213273420833406,"score_spread":0.20093970899885993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575099958","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":[0.1178173,0.00002212882,0.8797195,0.00033844376,0.00011542918,0.0007163178,0.0000051055404,0.00016969671,0.0010960795],"genre_scores_gemma":[0.96211904,2.9759954e-7,0.036471017,0.000110068446,0.00009978699,0.000106944535,0.000021910466,0.000013360627,0.0010575973],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844486,0.00006240289,0.00043981688,0.00031025734,0.00056802604,0.00017463294],"domain_scores_gemma":[0.9976825,0.0011216982,0.00018760582,0.00024344222,0.0006577046,0.000107020904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015531494,0.00009920651,0.00013388011,0.00016650457,0.0001332315,0.00022976668,0.00024121799,0.00007402583,0.000082909355],"category_scores_gemma":[0.0014673093,0.00008057447,0.00006422993,0.00047821907,0.000041206426,0.00037796638,0.000044571945,0.00005067938,0.00011611364],"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":[0.0001206314,0.00010408594,0.010040963,0.0000038651333,0.000013998476,2.6363116e-7,0.0012366372,0.42967367,0.0015799452,0.006374765,0.0061507965,0.5447004],"study_design_scores_gemma":[0.0006225773,0.00017871392,0.0010181724,0.0000075410226,0.0000122366,4.9944305e-7,0.0010241597,0.7452807,0.012512205,0.04749915,0.1916576,0.00018647914],"about_ca_topic_score_codex":0.000012818658,"about_ca_topic_score_gemma":0.000007843281,"teacher_disagreement_score":0.8443017,"about_ca_system_score_codex":0.00005214797,"about_ca_system_score_gemma":0.000059388785,"threshold_uncertainty_score":0.32857317},"labels":[],"label_agreement":null},{"id":"W1585752431","doi":"10.1002/9780470590621.ch11","title":"An Introduction to Distributed Simulation","year":2010,"lang":"en","type":"other","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Distributed computing","score_opus":0.06620945276048851,"score_gpt":0.45019075285574944,"score_spread":0.38398130009526094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585752431","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000060800478,0.0000028569045,0.82312405,0.0029042116,0.00034555807,0.0005298453,0.0001380647,0.00075762375,0.17213696],"genre_scores_gemma":[0.05869874,9.514419e-7,0.024098728,0.0003347311,0.003074426,0.00006171207,0.00044964332,0.00017575592,0.9131053],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822545,0.00004512769,0.0003571268,0.0006139293,0.00063651404,0.00012182888],"domain_scores_gemma":[0.99793845,0.00014179648,0.00019076074,0.0013663557,0.00021953067,0.0001430804],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000544329,0.00014310438,0.000191761,0.00047955272,0.00006614593,0.0002070058,0.00053211645,0.00030237404,0.036296897],"category_scores_gemma":[0.0005526766,0.000108632936,0.000054684802,0.0007994914,0.00002667424,0.00009108091,0.000044596676,0.00014998343,0.0016652434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021759708,0.000029162748,0.00004928081,4.27942e-7,0.000001988733,6.260554e-8,0.000007926196,0.0042175134,0.0002471225,0.0066167796,0.9416537,0.04717383],"study_design_scores_gemma":[0.00003980024,0.000022186183,0.00023467696,0.0000015064094,0.000004213278,2.8346827e-7,0.00001695376,0.014009199,0.00017269774,0.0050604492,0.98029524,0.00014280311],"about_ca_topic_score_codex":0.00007172659,"about_ca_topic_score_gemma":0.0002309424,"teacher_disagreement_score":0.79902536,"about_ca_system_score_codex":0.000018903484,"about_ca_system_score_gemma":0.000020648818,"threshold_uncertainty_score":0.99911207},"labels":[],"label_agreement":null},{"id":"W1589603773","doi":"10.1111/j.1937-5956.2010.01209.x","title":"A Framework for Analysis of Production Authorization Card‐Controlled Production Systems","year":2010,"lang":"en","type":"article","venue":"Production and Operations Management","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":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Variety (cybernetics); Kanban; Production (economics); Production control; Control (management); Authorization; Industrial engineering; Artificial intelligence; Computer network; Engineering","score_opus":0.08230328875107673,"score_gpt":0.4144708070146524,"score_spread":0.33216751826357566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589603773","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":[0.18028368,0.00008468076,0.80099136,0.008750222,0.0035446591,0.0054750787,0.000022938173,0.0001890624,0.00065833965],"genre_scores_gemma":[0.9499094,0.000071521645,0.040265445,0.000026000302,0.00048041166,0.0014633981,0.00006219229,0.000013317878,0.0077083213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737996,0.00010924932,0.0009211973,0.00083509827,0.0006041063,0.00015041584],"domain_scores_gemma":[0.9973961,0.000117509335,0.0003179962,0.00086591044,0.0012413207,0.00006112433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028955191,0.0001556573,0.0004149461,0.0011883678,0.0005570758,0.00028543774,0.00019654099,0.00009641704,0.000049654027],"category_scores_gemma":[0.0035055568,0.00012692662,0.00015857647,0.0028608711,0.0000916814,0.00043999238,0.000049192684,0.00012911604,0.000006880261],"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":[0.00011702853,0.0002928507,0.00199305,0.000047171186,0.00059132295,6.961143e-8,0.0006474722,0.18820216,0.008635831,0.7709574,0.002794875,0.02572076],"study_design_scores_gemma":[0.0020085021,0.00031993596,0.045400996,0.00012542351,0.0068019116,0.000015269747,0.007229778,0.71636313,0.023606438,0.087820135,0.108957835,0.0013506558],"about_ca_topic_score_codex":0.00002296192,"about_ca_topic_score_gemma":0.00010257062,"teacher_disagreement_score":0.7696257,"about_ca_system_score_codex":0.000029861156,"about_ca_system_score_gemma":0.000023213966,"threshold_uncertainty_score":0.5175918},"labels":[],"label_agreement":null},{"id":"W1593083295","doi":"10.1007/978-1-4471-2783-3_2","title":"The Modelling and Simulation Process","year":2013,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Variety (cybernetics); Computer science; Acknowledgement; Process (computing); Key (lock); Set (abstract data type); Event (particle physics); Granularity; Systems engineering; Management science; Operations research; Engineering; Artificial intelligence; Programming language","score_opus":0.2205010389898123,"score_gpt":0.5185761254557685,"score_spread":0.29807508646595615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593083295","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000046337176,0.0009777782,0.90677583,0.0010234789,0.00006753151,0.0023969966,0.000051634033,0.00019685218,0.08846357],"genre_scores_gemma":[0.21280935,0.0019389966,0.25133163,0.0006594125,0.0011715718,0.0029775328,0.000483087,0.00028370105,0.52834475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958315,0.00019120458,0.0016187823,0.0011208442,0.00094573165,0.00029196922],"domain_scores_gemma":[0.9844585,0.011227282,0.0011314529,0.0013065521,0.001655043,0.00022115278],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003046737,0.0004655238,0.0004932823,0.00039619755,0.0025877599,0.0015032768,0.00056245143,0.00042160918,0.0005186167],"category_scores_gemma":[0.00064809684,0.00035127427,0.00015763773,0.00039010722,0.0005001902,0.0005809524,0.00019095822,0.00045120803,0.000273459],"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":[0.0000037019843,0.000008688697,0.000011453919,0.0000073075093,0.000018096116,2.7081727e-8,0.00005947656,0.3372684,0.0000024701217,0.32526317,0.00012140795,0.33723578],"study_design_scores_gemma":[0.000059737482,0.0000070111814,0.00001929608,0.000009057993,0.000032586453,7.588646e-7,0.00004012836,0.3493615,0.0000030225026,0.33565888,0.3146528,0.0001551871],"about_ca_topic_score_codex":0.0000095083,"about_ca_topic_score_gemma":0.000005439285,"teacher_disagreement_score":0.6554442,"about_ca_system_score_codex":0.00007032211,"about_ca_system_score_gemma":0.000115002884,"threshold_uncertainty_score":0.9998939},"labels":[],"label_agreement":null},{"id":"W1599559789","doi":"10.1017/cbo9780511545993.015","title":"AN INTRODUCTION TO CONDITIONAL SIMULATION","year":2002,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Computer science; Content (measure theory); Mathematics","score_opus":0.09510934316418183,"score_gpt":0.3266445896271342,"score_spread":0.23153524646295237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599559789","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013251005,0.000005310071,0.111388445,0.000298416,0.00014523335,0.0005843752,0.00045621427,0.00023456794,0.88675493],"genre_scores_gemma":[0.040884666,0.0000030960846,0.000719635,0.00016036152,0.0006998407,0.0000020916991,0.00020452429,0.00002741639,0.9572984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771166,0.00005491829,0.0003717545,0.00083396945,0.0008608231,0.00016690543],"domain_scores_gemma":[0.99736935,0.00026148953,0.00029701606,0.0010709821,0.0007623531,0.00023881941],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032163053,0.00024394503,0.00028817062,0.0005122545,0.0003060795,0.00015768946,0.0007154601,0.00028421986,0.00024848],"category_scores_gemma":[0.000079930236,0.00026911873,0.00015874555,0.000041557043,0.00011747527,0.0002495553,0.00014862789,0.00024304332,0.0002475651],"study_design_candidate":"not_applicable","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":[0.00002254836,0.000012031369,0.0000016383565,0.0000017523616,0.0000121934745,0.0000052188684,0.000020417467,0.0073323306,0.00004290347,0.84239525,0.14535913,0.004794565],"study_design_scores_gemma":[0.00014996262,0.000061068386,0.00006407108,0.0000071831237,0.000037388505,0.0000030863025,0.000015165942,0.013005016,0.00013387052,0.00095057563,0.9852856,0.00028704517],"about_ca_topic_score_codex":0.000013359804,"about_ca_topic_score_gemma":6.7500827e-7,"teacher_disagreement_score":0.8414447,"about_ca_system_score_codex":0.00017860015,"about_ca_system_score_gemma":0.00003630238,"threshold_uncertainty_score":0.9999761},"labels":[],"label_agreement":null},{"id":"W1603684758","doi":"10.1002/9781118623220.ch1","title":"Introduction to Stochastic Processes","year":2010,"lang":"en","type":"other","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Social Sciences and Humanities Research Council of Canada; Canada Council for the Arts; Université de Montréal; McGill University; Killam Trusts; Mitacs","keywords":"Computer science","score_opus":0.06049963234509356,"score_gpt":0.412612410548542,"score_spread":0.35211277820344844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603684758","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000026845178,0.000014207167,0.4746226,0.003913266,0.00024452663,0.00035945143,0.000013711304,0.00038043014,0.5204491],"genre_scores_gemma":[0.00086798647,0.0000013145508,0.013587983,0.00027473975,0.0023228088,0.00009695832,0.000009622551,0.000099881494,0.98273873],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862754,0.000010910691,0.0002417039,0.00047392747,0.00054739974,0.00009850822],"domain_scores_gemma":[0.998656,0.00015095787,0.0001353951,0.00074197253,0.0002348554,0.00008086827],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030371224,0.00011214699,0.0001604802,0.00046811675,0.000041929005,0.00012965195,0.00047073964,0.00017395246,0.060370427],"category_scores_gemma":[0.0017191755,0.00007752278,0.000030965766,0.00090547267,0.000027762318,0.00003343108,0.000062976105,0.00011983722,0.0064062937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.142482e-7,0.000010758848,0.000001470968,0.0000017733207,0.0000014174834,2.8480525e-8,0.000009196282,0.000023815108,0.00003794775,0.0032337038,0.9744972,0.022182],"study_design_scores_gemma":[0.000019802681,0.000010095373,0.000006911451,0.000005137122,0.0000032390117,9.841286e-7,0.000015936668,0.000043386273,0.00012145408,0.0073699094,0.9922998,0.00010334202],"about_ca_topic_score_codex":0.000045326597,"about_ca_topic_score_gemma":0.0003367607,"teacher_disagreement_score":0.4622896,"about_ca_system_score_codex":0.000007683815,"about_ca_system_score_gemma":0.000056139026,"threshold_uncertainty_score":0.99436736},"labels":[],"label_agreement":null},{"id":"W1604335552","doi":"","title":"HSVO: a functional XML specification for integrating simulation devices","year":2010,"lang":"en","type":"article","venue":"Bio-Algorithms and Med-Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; NOSM University","funders":"","keywords":"Computer science; XML; Programming language; Software engineering; Database; World Wide Web","score_opus":0.15467877188141207,"score_gpt":0.4081773182843661,"score_spread":0.253498546402954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604335552","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":[0.09326587,0.00037189614,0.8993092,0.0009438575,0.00206845,0.0016534907,0.00013500424,0.00022167784,0.0020305126],"genre_scores_gemma":[0.9867644,0.0000105813615,0.009389608,0.000057115656,0.0010234901,0.00032434368,0.00007133226,0.00001745858,0.0023417233],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978628,0.000051671486,0.0007265129,0.00052897783,0.00062831293,0.00020168016],"domain_scores_gemma":[0.9969269,0.0013141038,0.00038200806,0.00043001675,0.00080957124,0.00013739489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017680726,0.00016495294,0.00023825894,0.0002233823,0.00041970788,0.00060490123,0.00023998332,0.00017403947,0.00007102916],"category_scores_gemma":[0.0007263813,0.00012137883,0.00008458932,0.00043816515,0.0000763597,0.00034006374,0.0000407086,0.00015046012,0.000040054223],"study_design_candidate":"design_other","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":[0.00010794957,0.00029487882,0.019282397,0.00007227887,0.00006618113,0.0000011314175,0.001075844,0.0143867945,0.03288099,0.2998895,0.02202993,0.6099121],"study_design_scores_gemma":[0.00024730313,0.00003817685,0.008291059,0.000011523868,0.000010252266,0.0000054343586,0.00075008563,0.5275306,0.00026202042,0.0024125648,0.46029547,0.00014552982],"about_ca_topic_score_codex":0.00008962464,"about_ca_topic_score_gemma":0.00003764375,"teacher_disagreement_score":0.8934985,"about_ca_system_score_codex":0.000024038778,"about_ca_system_score_gemma":0.000052184456,"threshold_uncertainty_score":0.5833077},"labels":[],"label_agreement":null},{"id":"W1605997646","doi":"","title":"Proceedings of the 18th IASTED International Conference on Modelling and Simulation, May 30-June 1, 2007, Montreal, Quebec, Canada","year":2006,"lang":"en","type":"book","venue":"ACTA Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Regional science; Operations research; Library science; Political science; Environmental science; Engineering; Computer science","score_opus":0.0964404482768033,"score_gpt":0.3315483695082468,"score_spread":0.23510792123144347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605997646","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018971361,0.00002677742,0.0016448074,0.00046910174,0.00022502165,0.0008489881,0.00026249,0.000053699307,0.994572],"genre_scores_gemma":[0.3561852,0.0000063895386,0.00010846154,0.000100186975,0.0000965773,0.00002906962,0.000019578722,0.000018969298,0.64343554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971755,0.000020719192,0.00076913903,0.00052061025,0.0013492989,0.00016474533],"domain_scores_gemma":[0.9970091,0.00051587826,0.0008405219,0.00043326255,0.0011319723,0.000069250025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002852815,0.00025451067,0.00033253824,0.000121525,0.00015009055,0.00023782614,0.0009771079,0.00020291448,0.000115775925],"category_scores_gemma":[0.000095671276,0.00018007049,0.00007988063,0.000039736027,0.00014609199,0.00009906847,0.0002094876,0.00027053553,0.0000015921115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037845362,0.00003458467,0.000060336664,0.000024599367,0.000057530076,8.57977e-7,0.00030985728,0.06818564,0.000061909675,0.081730165,0.8448797,0.004616973],"study_design_scores_gemma":[0.00021170657,0.0000092356295,0.00022668073,0.00014482668,0.00003168008,8.4859033e-7,0.000030806612,0.23974766,0.0003597084,0.026259635,0.7327409,0.00023631376],"about_ca_topic_score_codex":0.19933587,"about_ca_topic_score_gemma":0.13832952,"teacher_disagreement_score":0.35428807,"about_ca_system_score_codex":0.00014324655,"about_ca_system_score_gemma":0.0005111207,"threshold_uncertainty_score":0.8773937},"labels":[],"label_agreement":null},{"id":"W1618210274","doi":"10.5555/2048558.2048572","title":"An overview of cyber attack and computer network operations simulation","year":2011,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Royal Military College of Canada","funders":"","keywords":"Constructive; Snapshot (computer storage); Cyberwarfare; Network-centric warfare; Computer science; Modeling and simulation; Electronic warfare; Computer security; State (computer science); Simulation modeling; Government (linguistics); Simulation; Telecommunications","score_opus":0.23481204463540326,"score_gpt":0.45287440430249104,"score_spread":0.21806235966708779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1618210274","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":[0.40630656,0.00017562558,0.5886395,0.0002371964,0.00023300551,0.00090371585,0.00010342687,0.00021988676,0.0031810682],"genre_scores_gemma":[0.9888049,0.000022993008,0.01017795,0.0003853817,0.00022634918,0.00001832007,0.000038573355,0.000019487845,0.00030609363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751246,0.0002215463,0.0009449441,0.0005009635,0.0006123409,0.00020777227],"domain_scores_gemma":[0.9970984,0.00075961085,0.0002550779,0.00070520333,0.0010359104,0.00014583547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010167576,0.00017908146,0.00030139022,0.00017965856,0.00026977703,0.00012045169,0.00034194387,0.00014214865,0.0005157381],"category_scores_gemma":[0.00008586704,0.00015303722,0.0000914161,0.0007633433,0.00010657134,0.001125733,0.00010306354,0.00009089166,0.000065384396],"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":[0.000020123907,0.00009161959,0.00978827,0.000003101363,0.000009111058,2.551796e-7,0.0015252604,0.967645,0.000071925126,0.012099987,0.0003546353,0.00839072],"study_design_scores_gemma":[0.00024644454,0.00014230478,0.054975286,0.000013260222,0.00001889841,8.79637e-7,0.000096661555,0.92556477,0.00013329285,0.005243941,0.013385173,0.00017908405],"about_ca_topic_score_codex":0.000063624226,"about_ca_topic_score_gemma":0.000024814351,"teacher_disagreement_score":0.58249825,"about_ca_system_score_codex":0.000018359813,"about_ca_system_score_gemma":0.00003128961,"threshold_uncertainty_score":0.62406766},"labels":[],"label_agreement":null},{"id":"W1663855820","doi":"10.5555/2665008.2665046","title":"Generation of functional mock-up units for co-simulation from simulink®, using explicit computational semantics: work in progress paper","year":2014,"lang":"en","type":"article","venue":"","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":"McGill University","funders":"","keywords":"Computer science; Solver; Rotation formalisms in three dimensions; Programming language; Interface (matter); Toolchain; Semantics (computer science); Unified Modeling Language; Software; Theoretical computer science; Algorithm; Computational science; Parallel computing; Mathematics","score_opus":0.42857278523261727,"score_gpt":0.46351992904135586,"score_spread":0.03494714380873859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1663855820","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":[0.34851867,0.000011881196,0.6505632,0.00023801213,0.00008451958,0.00040456463,0.00003001473,0.0000366642,0.00011250218],"genre_scores_gemma":[0.951766,5.1236736e-7,0.047230285,0.00019992662,0.0002142883,0.00005473116,0.00030154007,0.0000135881555,0.00021910186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977478,0.000109235094,0.00086288305,0.00040027933,0.0007366449,0.00014315268],"domain_scores_gemma":[0.9957774,0.0024881645,0.00032379612,0.0003033444,0.0010543456,0.00005292808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009393581,0.00012786826,0.00023490017,0.00026189935,0.00015615922,0.00010933157,0.00019512151,0.000115355,0.00038021101],"category_scores_gemma":[0.00056818256,0.000110015055,0.000068353984,0.0009002183,0.000053774922,0.00034207306,0.000034945715,0.00006672895,0.000017668941],"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":[0.00004402076,0.00005207671,0.012851504,0.0000020802956,0.0000063019297,2.9312847e-8,0.00014287424,0.96195626,0.0008050056,0.012401187,0.00078606064,0.010952573],"study_design_scores_gemma":[0.00057255384,0.000025149226,0.015494084,0.000013608196,0.000007908813,1.4650685e-7,0.0000868494,0.9324633,0.0010623087,0.04663171,0.0035226753,0.00011972659],"about_ca_topic_score_codex":0.000028030096,"about_ca_topic_score_gemma":0.000020595442,"teacher_disagreement_score":0.6033329,"about_ca_system_score_codex":0.00003990377,"about_ca_system_score_gemma":0.00006539433,"threshold_uncertainty_score":0.44862837},"labels":[],"label_agreement":null},{"id":"W1722563966","doi":"10.1007/11537847_12","title":"A Proxy Design Pattern to Support Real-Time Distributed Control System Benchmarking","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Benchmarking; Java; Distributed design patterns; Distributed computing; Control (management); Real-time computing; Operating system; Embedded system; Distributed algorithm; Artificial intelligence","score_opus":0.048528312785524254,"score_gpt":0.3310015175432071,"score_spread":0.28247320475768284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1722563966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007838972,0.000015403433,0.99382716,0.000844693,0.0003109918,0.0016535969,0.00012079653,0.00026489244,0.0028840688],"genre_scores_gemma":[0.7790753,0.0000047200765,0.21747206,0.0013725202,0.00093452825,0.0001156997,0.00003736491,0.00005053382,0.0009372287],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942311,0.00009175961,0.0012039657,0.001708408,0.0021665865,0.0005981917],"domain_scores_gemma":[0.99473643,0.0021491074,0.0005505798,0.00156911,0.00069994683,0.00029484584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036910675,0.00047006842,0.0007303457,0.000936837,0.00034521433,0.00080974656,0.0026245685,0.000318298,0.00034918875],"category_scores_gemma":[0.0002941246,0.00037583333,0.00017098707,0.0010362203,0.00029759752,0.00026789724,0.00048651712,0.00039789188,0.0005079621],"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":[0.000013547445,0.000022285272,0.00023857364,0.000009023889,0.0000075335943,0.00002545151,0.00020053901,0.13571623,0.00022166972,0.001266881,0.00074472016,0.8615335],"study_design_scores_gemma":[0.00032882404,0.00030591653,0.00043288642,0.00031652395,0.00001846338,0.000047319383,6.4202965e-7,0.96648246,0.0005949043,0.020033533,0.010747475,0.00069107336],"about_ca_topic_score_codex":0.000027719585,"about_ca_topic_score_gemma":0.000017275263,"teacher_disagreement_score":0.86084247,"about_ca_system_score_codex":0.00051018404,"about_ca_system_score_gemma":0.0004250752,"threshold_uncertainty_score":0.99986935},"labels":[],"label_agreement":null},{"id":"W172706334","doi":"","title":"Proceedings of the 2012 Symposium on Emerging Applications of M&S in Industry and Academia Symposium","year":2012,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Variety (cybernetics); Engineering ethics; Government (linguistics); Panel discussion; Engineering; Engineering management; Computer science; Political science; Library science; Business","score_opus":0.07544672561057594,"score_gpt":0.39479081811669264,"score_spread":0.31934409250611673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W172706334","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":[0.9913345,0.000030558243,0.0050725914,0.00067790283,0.000041005012,0.000612413,0.0000070893907,0.000028488776,0.002195472],"genre_scores_gemma":[0.99858606,0.000009643067,0.0010368732,0.000051175786,0.000041947522,0.00005996033,4.76044e-7,0.000009243743,0.00020465085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982712,0.000033507404,0.0007042205,0.0002577106,0.0005432236,0.00019013097],"domain_scores_gemma":[0.9980197,0.00076607603,0.00047978235,0.00032698453,0.00033299215,0.00007449339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010237199,0.00011928785,0.00020216282,0.0002603535,0.00010185781,0.000034656114,0.00043142113,0.0002828012,0.000039308474],"category_scores_gemma":[0.00035215585,0.00008887997,0.000050689297,0.00080595986,0.00012763622,0.00043379766,0.00015559164,0.0004692512,0.000006719508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000099644685,0.000098216406,0.87171876,0.000019520296,0.0000039470824,6.953097e-9,0.00092704454,0.036971822,0.02921503,0.053730104,0.000013006619,0.0072925477],"study_design_scores_gemma":[0.0003286599,0.000016782735,0.837229,0.000113563845,0.000014395219,3.9302802e-7,0.00044276487,0.120528586,0.03437071,0.0038723901,0.0029164816,0.0001662443],"about_ca_topic_score_codex":0.000038256985,"about_ca_topic_score_gemma":0.0000027263968,"teacher_disagreement_score":0.083556764,"about_ca_system_score_codex":0.00003145238,"about_ca_system_score_gemma":0.000027704831,"threshold_uncertainty_score":0.362442},"labels":[],"label_agreement":null},{"id":"W1740658189","doi":"10.1109/wescan.1997.627141","title":"Hardware-software co-simulation of a parallel computer system","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Node (physics); Software; Parallel computing; Hardware architecture; Matrix multiplication; Multiplication (music); Co-simulation; Computer architecture; Embedded system; Operating system; Engineering","score_opus":0.1698036131806603,"score_gpt":0.40249128488119346,"score_spread":0.23268767170053314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1740658189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009679173,0.00002017059,0.9759855,0.00014040664,0.00004661377,0.00025618545,0.000014547252,0.00025593824,0.0136014605],"genre_scores_gemma":[0.9404009,0.0000013272557,0.056563843,0.00011034354,0.000048056874,0.000016019401,0.0000042175134,0.0000063148964,0.002848978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833006,0.000053999127,0.00059436704,0.00025998533,0.0006564163,0.00010516487],"domain_scores_gemma":[0.9980423,0.0008107919,0.00020639214,0.00053423323,0.00034866223,0.000057629113],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000442735,0.00008109457,0.00019282139,0.00015219212,0.00008793107,0.00006940612,0.000344009,0.000061263985,0.0017513003],"category_scores_gemma":[0.00012730046,0.000058953716,0.000096826785,0.00044808962,0.0000389747,0.00015431298,0.000042772368,0.000043364336,0.000666651],"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":[0.000014994127,0.00020647541,0.02304016,0.000025659849,0.000022001379,0.000002113972,0.00057346054,0.58402026,0.00007984563,0.059310883,0.108926,0.22377816],"study_design_scores_gemma":[0.00018304195,0.000029763398,0.0039008812,0.0000106161015,0.000003646818,0.0000017857424,0.00007184315,0.9522998,0.00018690432,0.0016080176,0.041619215,0.000084523155],"about_ca_topic_score_codex":0.000011093643,"about_ca_topic_score_gemma":0.0000011800795,"teacher_disagreement_score":0.9307217,"about_ca_system_score_codex":0.000022048524,"about_ca_system_score_gemma":0.0000055377413,"threshold_uncertainty_score":0.99916124},"labels":[],"label_agreement":null},{"id":"W1801404373","doi":"","title":"Grand Challenges on the Theory of Modeling and Simulation","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":37,"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":"Grand Challenges; Field (mathematics); Computer science; Plan (archaeology); Scale (ratio); Set (abstract data type); Modeling and simulation; Domain (mathematical analysis); Data science; Engineering ethics; Management science; Engineering management; Systems engineering; Engineering; Simulation","score_opus":0.2665973227822032,"score_gpt":0.4141573920596061,"score_spread":0.1475600692774029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1801404373","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":[0.65446514,0.00013811355,0.29955935,0.0051676454,0.000012416368,0.0003702597,0.0000010673214,0.000041618136,0.0402444],"genre_scores_gemma":[0.99882746,0.000034624016,0.00050358067,0.00016436142,0.000009926839,0.000018565242,1.6007874e-7,0.0000024002209,0.00043889674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933875,0.000058518224,0.00019263671,0.00012060652,0.00024594026,0.0000435502],"domain_scores_gemma":[0.9972853,0.0022270475,0.000051371157,0.00026419666,0.000154332,0.000017748347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009259556,0.00003764621,0.00006241247,0.000050673214,0.0000714228,0.000041741656,0.00013330688,0.000023857934,0.0005127801],"category_scores_gemma":[0.00035230283,0.00001775151,0.000022159022,0.00009830945,0.00003569499,0.00009024345,0.000026681575,0.000029130186,0.00004425077],"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":[0.000004094596,0.000015940015,0.00008395928,7.418037e-7,0.000002321447,7.00879e-9,0.00034333856,0.081682794,0.00012496894,0.7155673,0.00021692108,0.20195758],"study_design_scores_gemma":[0.00002633019,0.000008719274,0.0006910072,0.0000016339199,7.5395207e-7,4.3752767e-8,0.0004138961,0.5269577,0.00021567721,0.4713654,0.00030206554,0.00001681036],"about_ca_topic_score_codex":0.000007812582,"about_ca_topic_score_gemma":0.0000013398662,"teacher_disagreement_score":0.4452749,"about_ca_system_score_codex":0.0000017942343,"about_ca_system_score_gemma":0.0000029838995,"threshold_uncertainty_score":0.56145823},"labels":[],"label_agreement":null},{"id":"W1828435734","doi":"","title":"Benchmark Simulation Model No 2 - General Protocol and Advances in Modelling Application","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Université Laval","funders":"","keywords":"Benchmark (surveying); Computer science; Protocol (science)","score_opus":0.05195863723057009,"score_gpt":0.35167667924804946,"score_spread":0.29971804201747937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1828435734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01361924,0.00019508577,0.9385688,0.0011111366,0.00003589,0.01669491,0.000051023282,0.00020179494,0.029522158],"genre_scores_gemma":[0.7060343,0.0006704439,0.2587597,0.00010936768,0.00005153686,0.029702501,0.00027979934,0.000059918388,0.004332459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9938471,0.0019558503,0.001370839,0.001419792,0.0010653844,0.00034107725],"domain_scores_gemma":[0.99093294,0.002354319,0.0009913181,0.002322299,0.0032193987,0.00017972651],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006378886,0.0003901693,0.00050018553,0.00050614006,0.00041803045,0.00046631048,0.0013069672,0.00040413148,0.000055928736],"category_scores_gemma":[0.0014677204,0.00038486946,0.0001680694,0.0007768376,0.00024114663,0.0005371669,0.0010070553,0.0006148708,0.000040506453],"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":[0.000018461455,0.00022418896,0.0013553984,0.000043156637,0.000005269615,5.003042e-7,0.0012998763,0.8963917,0.00017876094,0.030258715,0.00020047755,0.07002353],"study_design_scores_gemma":[0.00035578402,3.4152959e-7,0.00037726024,0.00021813542,0.0000064605897,0.0000015642223,0.000016574291,0.8763992,0.00090660056,0.095908135,0.025486575,0.00032336602],"about_ca_topic_score_codex":0.00035620184,"about_ca_topic_score_gemma":0.00025090386,"teacher_disagreement_score":0.69241506,"about_ca_system_score_codex":0.0001369516,"about_ca_system_score_gemma":0.00024605653,"threshold_uncertainty_score":0.99986035},"labels":[],"label_agreement":null},{"id":"W1835540876","doi":"10.5489/cuaj.1765","title":"Computing maximum flow rates","year":2014,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flow (mathematics); Computer science; Mathematics; Geometry","score_opus":0.04983783941579217,"score_gpt":0.3347071806716753,"score_spread":0.28486934125588315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835540876","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":[0.4203401,0.000095153446,0.38240412,0.13860086,0.0012978415,0.00039231335,0.00005117749,0.00024097726,0.056577466],"genre_scores_gemma":[0.98916435,0.0000031470836,0.0039915536,0.0055733416,0.00048727499,0.0000022590966,0.0000046193186,0.000005897462,0.0007675605],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977994,0.0003628834,0.00055268634,0.00022692599,0.00068904524,0.00036906355],"domain_scores_gemma":[0.9968517,0.001458674,0.00039682843,0.00018374444,0.00059734366,0.0005117454],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004588746,0.00009373691,0.00018829323,0.00023565546,0.00065039424,0.00056405884,0.00048429283,0.0001694302,0.0014927961],"category_scores_gemma":[0.006362919,0.000069670874,0.00012165475,0.0005133823,0.00002596967,0.00013838551,0.000027801143,0.00036065307,0.00056742306],"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":[0.0000043613945,0.00002289566,0.60751355,3.1190007e-7,0.000016878032,0.0000037088578,0.0001188499,0.00574445,0.00004153292,0.010057987,0.1475275,0.228948],"study_design_scores_gemma":[0.0001531481,0.000039102844,0.23984388,0.0000013530743,0.0000045199095,0.000017183935,0.000036037316,0.05469502,0.000015464611,0.16388883,0.54120624,0.000099247496],"about_ca_topic_score_codex":0.00020100891,"about_ca_topic_score_gemma":0.00023486596,"teacher_disagreement_score":0.56882423,"about_ca_system_score_codex":0.00030108244,"about_ca_system_score_gemma":0.00013632429,"threshold_uncertainty_score":0.99942},"labels":[],"label_agreement":null},{"id":"W1841239429","doi":"10.1002/cpe.1807","title":"Distributed re‐arrangement scheme for balancing computational load and minimizing communication delays in HLA‐based simulations","year":2011,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Distributed computing; Computer science; High-level architecture; Single point of failure; Load balancing (electrical power); Scheme (mathematics); Synchronization (alternating current); Computer network; Grid","score_opus":0.20206284961077667,"score_gpt":0.45062351224795655,"score_spread":0.24856066263717988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841239429","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":[0.30354732,0.00060207787,0.6939809,0.000960692,0.000037475358,0.00045552515,0.000038149985,0.000039330127,0.00033854324],"genre_scores_gemma":[0.9187035,0.000048125068,0.08070609,0.00035048043,0.000008873933,0.00010822341,0.000063512845,0.0000051153843,0.0000060668094],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848235,0.00012780906,0.00055076764,0.0003861753,0.00031489413,0.00013798544],"domain_scores_gemma":[0.99597025,0.0029120378,0.0003078205,0.0001818788,0.00054856524,0.000079455756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085506536,0.00011940585,0.00016230039,0.00012561506,0.00040852604,0.00018189546,0.00014047272,0.000057994068,0.000028746426],"category_scores_gemma":[0.0013033232,0.00011552567,0.000021940812,0.0003907822,0.00015682801,0.00086332305,0.000071894865,0.00009688074,0.0000017299892],"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":[0.00074711407,0.0013621348,0.12434344,0.00014694838,0.00007384716,0.0000071482223,0.14238138,0.06153128,0.0015868368,0.1378257,0.0022778695,0.5277163],"study_design_scores_gemma":[0.0009792867,0.00007958653,0.021185575,0.000046089295,0.000015168033,0.000004874044,0.008114847,0.93659574,0.00012887953,0.026956577,0.0056928555,0.00020053016],"about_ca_topic_score_codex":0.000058984817,"about_ca_topic_score_gemma":0.000020561967,"teacher_disagreement_score":0.87506443,"about_ca_system_score_codex":0.000030163726,"about_ca_system_score_gemma":0.00006836523,"threshold_uncertainty_score":0.4711},"labels":[],"label_agreement":null},{"id":"W187086634","doi":"","title":"Towards a Synthetic Environment for Maritime-Air Tactical Experiments","year":2006,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Systems engineering; Navy; Situation awareness; Process (computing); Component (thermodynamics); Modeling and simulation; Engineering; Testbed; Doctrine; Computer science; Aerospace engineering","score_opus":0.06664832003339147,"score_gpt":0.3628761507629755,"score_spread":0.29622783072958403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W187086634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009300894,0.000019183088,0.95175254,0.0029520777,0.00012904775,0.0014923568,0.0002342764,0.00046629645,0.03365333],"genre_scores_gemma":[0.9613289,0.0000054288053,0.036220487,0.0012606882,0.000066867025,0.0005459688,0.00017982404,0.000015416643,0.00037636983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996906,0.00005449786,0.0013055955,0.00033420956,0.0010355159,0.00036418292],"domain_scores_gemma":[0.99807215,0.00049196894,0.00030685676,0.0007772294,0.00020748693,0.00014433074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009211051,0.00021446442,0.00027898452,0.000263686,0.00023103101,0.00025652346,0.00053758395,0.00018960539,0.0007152342],"category_scores_gemma":[0.0004906531,0.00017574613,0.0002537791,0.00030362656,0.0001457874,0.0008301752,0.00019973888,0.00015218253,0.0010107289],"study_design_candidate":"not_applicable","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":[0.00042143816,0.0021182797,0.0027519148,0.000048105154,0.0000511532,0.000004358631,0.00034769104,0.0021951096,0.00199714,0.5191253,0.26923218,0.20170733],"study_design_scores_gemma":[0.0007539525,0.00010939269,0.0056825904,0.000015993792,0.000019390585,0.00002822667,0.000094222545,0.008577646,0.004496073,0.04070262,0.9391999,0.00031996515],"about_ca_topic_score_codex":0.0000243169,"about_ca_topic_score_gemma":0.0000022264708,"teacher_disagreement_score":0.95202804,"about_ca_system_score_codex":0.00015960552,"about_ca_system_score_gemma":0.000033290373,"threshold_uncertainty_score":0.9997671},"labels":[],"label_agreement":null},{"id":"W1877880043","doi":"10.1002/cpe.3121","title":"On the distributed orchestration of stochastic discrete event simulations","year":2013,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Guelph","funders":"","keywords":"Discrete event simulation; Event (particle physics); Computer science; Orchestration; Discrete event dynamic system; Stochastic simulation; Distributed computing; Stochastic process; Probability distribution; Mathematical optimization; Theoretical computer science; Algorithm; Simulation; Mathematics; Discrete system; Statistics","score_opus":0.09420576302729669,"score_gpt":0.44233888036605745,"score_spread":0.34813311733876073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1877880043","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":[0.40948334,0.00004999545,0.5870534,0.0028172878,0.000034650784,0.00029521255,0.0000141578685,0.000016114329,0.00023582063],"genre_scores_gemma":[0.99913806,0.000008913689,0.0004976465,0.00023187057,0.000012156896,0.00007041877,0.0000135542905,0.0000025553516,0.000024801171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881905,0.0001260532,0.00039264924,0.00022898249,0.00035207163,0.00008120949],"domain_scores_gemma":[0.9941989,0.0048870197,0.00028935625,0.00017830144,0.00039392436,0.000052465435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003159705,0.00007992961,0.00009908444,0.00005227572,0.0002788819,0.00018437846,0.00012698348,0.000031693846,0.00012859039],"category_scores_gemma":[0.0027075107,0.00005115597,0.000021485084,0.00035022924,0.00017262586,0.0006581126,0.000040634146,0.00008296802,0.000015709853],"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":[0.000057314224,0.00027097826,0.0010843545,0.000010775123,0.000024521943,5.039335e-7,0.01650232,0.06730036,0.0017786275,0.6732073,0.0026696133,0.23709337],"study_design_scores_gemma":[0.0002544401,0.00016747204,0.01019714,0.0000281087,0.0000173981,0.00000679615,0.008857879,0.75858057,0.00042884098,0.21991086,0.0013850421,0.00016548579],"about_ca_topic_score_codex":0.000030804167,"about_ca_topic_score_gemma":9.4714585e-7,"teacher_disagreement_score":0.6912802,"about_ca_system_score_codex":0.0000065231507,"about_ca_system_score_gemma":0.000025232928,"threshold_uncertainty_score":0.32413387},"labels":[],"label_agreement":null},{"id":"W188178722","doi":"10.5555/2499986.2499998","title":"Simulation of mobile networks using discrete event system specification theory","year":2013,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Ericsson (Canada); Carleton University","funders":"","keywords":"DEVS; Computer science; User equipment; Base station; Computer network; Radio access network; Formalism (music); Path loss; Software deployment; Cellular network; Mobile telephony; Mobile radio; Mobile computing; Discrete event simulation; Distributed computing; Mobile station; Telecommunications; Modeling and simulation; Simulation; Wireless","score_opus":0.07948746708537337,"score_gpt":0.33191153351471253,"score_spread":0.2524240664293392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W188178722","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":[0.2676065,0.00007210176,0.7236375,0.00012817974,0.000097320975,0.00082077464,0.000024023499,0.0001520637,0.00746153],"genre_scores_gemma":[0.9954269,0.000004449717,0.0029668577,0.00002937416,0.00005763232,0.000008541248,0.000020707335,0.00001979199,0.0014657743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968209,0.0006343662,0.0007917551,0.00055690436,0.00087453146,0.00032151502],"domain_scores_gemma":[0.99482906,0.002314349,0.00046430374,0.0011611999,0.000985868,0.00024524363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015682293,0.00021079525,0.00038347626,0.0005175462,0.00048511717,0.00040667484,0.0010630795,0.00022179517,0.0004394498],"category_scores_gemma":[0.00050965324,0.00019268876,0.00022761336,0.0018944435,0.00026100798,0.0021599624,0.00034474258,0.00039569067,0.00019723989],"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":[0.00006234925,0.00016442582,0.0037985588,0.000010154751,0.000034753062,0.0000032024896,0.00009807838,0.6252263,0.0009019889,0.35327956,0.00014445146,0.01627613],"study_design_scores_gemma":[0.0004813076,0.00010852754,0.013180372,0.000062112886,0.00007491591,0.0000030564056,0.0021156063,0.9604788,0.00038769707,0.011240969,0.011564994,0.00030166324],"about_ca_topic_score_codex":0.00008145156,"about_ca_topic_score_gemma":0.00000822779,"teacher_disagreement_score":0.7278204,"about_ca_system_score_codex":0.0002911917,"about_ca_system_score_gemma":0.00007945979,"threshold_uncertainty_score":0.78576195},"labels":[],"label_agreement":null},{"id":"W1901185711","doi":"10.1109/iros.1999.812829","title":"A simulation study of a mobile manipulator","year":2003,"lang":"en","type":"article","venue":"","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":"University of Toronto","funders":"","keywords":"Sensitivity (control systems); Computer science; Manipulator (device); Simulation; Control theory (sociology); Mobile manipulator; Dynamic simulation; Control engineering; Mobile robot; Engineering; Robot; Artificial intelligence; Control (management)","score_opus":0.21681109196220663,"score_gpt":0.4888763319850675,"score_spread":0.2720652400228609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1901185711","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":[0.8936578,0.0000057045354,0.09316884,0.0000074343607,0.000021071042,0.0005457849,8.679275e-7,0.000049160455,0.012543355],"genre_scores_gemma":[0.996361,1.5271488e-7,0.0018997159,0.000026556601,0.00000555918,0.000055814173,3.0006598e-7,0.0000039899132,0.001646923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869454,0.00007571589,0.00045596648,0.00019701346,0.0005128918,0.00006388393],"domain_scores_gemma":[0.9983926,0.0007255063,0.00012687506,0.00047125696,0.00025073858,0.00003304716],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00075679633,0.000049781633,0.00012083403,0.00012434743,0.000054801254,0.00003242914,0.00017418806,0.000025675263,0.0015339904],"category_scores_gemma":[0.0005737727,0.00003525263,0.000038493625,0.0006380647,0.000013088176,0.00009351222,0.000020242464,0.000026569429,0.0000842562],"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":[0.000012306349,0.002169498,0.12613957,0.0000017652566,0.000015367434,6.4909403e-7,0.002131962,0.75733864,0.0007345751,0.084467135,0.001164688,0.025823837],"study_design_scores_gemma":[0.002274489,0.0014220586,0.084898,0.000006126254,0.000036626687,0.0000019676884,0.02898961,0.5559496,0.009411516,0.17761649,0.13887894,0.0005145576],"about_ca_topic_score_codex":0.00002207095,"about_ca_topic_score_gemma":0.000011254422,"teacher_disagreement_score":0.20138904,"about_ca_system_score_codex":0.000007880333,"about_ca_system_score_gemma":0.0000126153045,"threshold_uncertainty_score":0.99937874},"labels":[],"label_agreement":null},{"id":"W1903959643","doi":"10.1109/mcse.2015.89","title":"Discrete-Event Modeling and Simulation for Embedded Systems","year":2015,"lang":"en","type":"article","venue":"Computing in Science & Engineering","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":"Computer science; Discrete event simulation; Reliability (semiconductor); Event (particle physics); Modeling and simulation; Complex system; Distributed computing; Theoretical computer science; Simulation; Artificial intelligence","score_opus":0.16218590520793968,"score_gpt":0.44556574844644187,"score_spread":0.2833798432385022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1903959643","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":[0.36588946,0.000039780756,0.6335759,0.000039156213,0.00011831751,0.00021356303,6.5052274e-7,0.00005679424,0.00006636211],"genre_scores_gemma":[0.97436255,4.715336e-7,0.025544465,0.000015123714,0.00004170385,0.000014883176,6.949505e-7,0.0000064644037,0.000013646445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849373,0.000019277317,0.00041062827,0.00034240691,0.00053228874,0.0002016603],"domain_scores_gemma":[0.9985885,0.00070819876,0.00007542887,0.00023598755,0.00028545025,0.00010644312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006149901,0.00007752885,0.0001294224,0.00031258634,0.000104912346,0.00034883013,0.00033009637,0.000027078046,3.779841e-7],"category_scores_gemma":[0.0028217167,0.00006686411,0.000022709213,0.0008854149,0.00003768782,0.0003482861,0.00012522897,0.00006130591,0.0000017910256],"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":[0.000001372839,0.0000034127527,0.0004240951,0.0000014203353,2.5683852e-7,8.060616e-8,0.0004916883,0.9865605,0.00041402754,0.010749164,0.0000048289453,0.0013491471],"study_design_scores_gemma":[0.00018829701,0.000011506116,0.00040501254,0.000026838034,8.841135e-7,0.0000011873597,0.0003140611,0.9966435,0.00008938228,0.0018825997,0.0003517615,0.00008495768],"about_ca_topic_score_codex":0.00001166813,"about_ca_topic_score_gemma":6.627377e-7,"teacher_disagreement_score":0.60847306,"about_ca_system_score_codex":0.000070689,"about_ca_system_score_gemma":0.00006059492,"threshold_uncertainty_score":0.33780622},"labels":[],"label_agreement":null},{"id":"W19114187","doi":"10.1016/j.jtcvs.2008.08.044","title":"OpenFRESCO: Open Software Framework for Experimental Setup and Control for Distributed Test","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Sick Kids Foundation","keywords":"Computer science; OpenSees; Software; Distributed computing; Test case; System under test; Engineering; Operating system; Finite element method","score_opus":0.10435428510097071,"score_gpt":0.46120221199527267,"score_spread":0.35684792689430195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W19114187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004851383,0.000046859725,0.98921055,0.0014444696,0.000030949544,0.0024690658,0.0013687212,0.00008493207,0.000493096],"genre_scores_gemma":[0.78663003,2.9082764e-7,0.21044074,0.00044099966,0.00005739699,0.0010731659,0.00009437807,0.000009153137,0.0012538218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988949,0.000014050988,0.00036805074,0.0003630964,0.00020274597,0.00015717298],"domain_scores_gemma":[0.99465007,0.00463848,0.0001132085,0.0003380114,0.00020021903,0.000060011575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053208024,0.00009548674,0.00019114515,0.000039065802,0.00030581234,0.0006815246,0.000571406,0.0000760442,0.0002987619],"category_scores_gemma":[0.00139873,0.00006989878,0.000060571863,0.00018429884,0.000053243737,0.00023575788,0.00012882051,0.000033786797,0.000011683005],"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":[0.00014581249,0.0004645001,0.022674128,0.00000475152,0.000012986287,3.0603655e-7,0.00004814031,0.00016322597,0.0030807515,0.6453571,0.31604147,0.0120068425],"study_design_scores_gemma":[0.0018117484,0.00018178951,0.0042266897,0.000008624974,0.000010412993,0.000001455962,0.00025442417,0.011466428,0.025100436,0.7651512,0.19158208,0.00020471861],"about_ca_topic_score_codex":0.00007060654,"about_ca_topic_score_gemma":0.000016309477,"teacher_disagreement_score":0.7817787,"about_ca_system_score_codex":0.000018827479,"about_ca_system_score_gemma":0.000024131881,"threshold_uncertainty_score":0.65719575},"labels":[],"label_agreement":null},{"id":"W1936626309","doi":"10.1109/mwscas.1991.252065","title":"A hierarchical view of time","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Queue; Event (particle physics); Kernel (algebra); Dimension (graph theory); Theoretical computer science; Extension (predicate logic); Priority queue; Discrete event simulation; Fork–join queue; Queue management system; Programming language; Mathematics; Discrete mathematics; Simulation; Pure mathematics","score_opus":0.16489993673037873,"score_gpt":0.41828567083747664,"score_spread":0.2533857341070979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1936626309","genre_codex":"other","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":[0.051722527,0.00012544867,0.11770707,0.006362913,0.000021876622,0.00026070693,0.000008269255,0.00016422664,0.82362694],"genre_scores_gemma":[0.9554565,0.000010536088,0.008288637,0.00028268524,0.000013155097,0.000006336204,3.7078163e-7,0.0000021986868,0.035939563],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920017,0.000024890882,0.00026480795,0.00011582625,0.00034280703,0.00005148938],"domain_scores_gemma":[0.9991231,0.00040866857,0.00004601771,0.00030218915,0.00008608975,0.000033934994],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003319188,0.000028731152,0.00008757391,0.000063809006,0.00002654169,0.000019029805,0.00023937346,0.000021835143,0.029887889],"category_scores_gemma":[0.00020721964,0.00001833658,0.00004783605,0.00040147506,0.000041088224,0.00004666297,0.000034632183,0.00002798801,0.0025340617],"study_design_candidate":"not_applicable","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":[0.0000015095326,0.000114495335,0.0010012233,9.354523e-7,0.0000028151621,2.7557425e-7,0.000105755615,0.00003521947,0.0019728849,0.12333136,0.16337596,0.71005756],"study_design_scores_gemma":[0.00011076056,0.000037373233,0.0023394567,0.0000035998971,0.0000022785543,0.0000024004999,0.000014039622,0.08407346,0.0032781952,0.18089,0.7291711,0.00007735322],"about_ca_topic_score_codex":0.000003160252,"about_ca_topic_score_gemma":3.9021882e-7,"teacher_disagreement_score":0.90373397,"about_ca_system_score_codex":0.0000024615408,"about_ca_system_score_gemma":0.0000026197374,"threshold_uncertainty_score":0.99824256},"labels":[],"label_agreement":null},{"id":"W193690006","doi":"10.5555/2331751.2331755","title":"Data mining with cellular discrete event modeling and simulation","year":2012,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"DEVS; Computer science; Data mining; Classifier (UML); Discrete event simulation; Formalism (music); Grid; Data modeling; Artificial intelligence; Machine learning; Modeling and simulation; Simulation; Database; Mathematics","score_opus":0.2931234036267953,"score_gpt":0.46348849271498016,"score_spread":0.17036508908818487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W193690006","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":[0.27814436,0.00005358256,0.7199567,0.00017725056,0.000011933077,0.00010166712,0.000008562475,0.000043047585,0.0015028801],"genre_scores_gemma":[0.95775366,0.000002013162,0.041598003,0.00006898147,0.0000545344,0.0000053390877,0.000023616989,0.000006113026,0.00048776288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892986,0.000027467628,0.000252039,0.0002497266,0.00041394238,0.00012696089],"domain_scores_gemma":[0.9987415,0.00032819976,0.000068128604,0.00069947535,0.00007868369,0.00008397902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010696807,0.00006394295,0.00008450451,0.00006524463,0.00012579544,0.00010320018,0.00027805218,0.000027799813,0.00014863313],"category_scores_gemma":[0.00014482395,0.000039453913,0.000011336257,0.00022307111,0.000020911662,0.0006898919,0.00018204292,0.000034307803,0.000021751552],"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":[0.000023114739,0.0000643364,0.05259077,0.0000032809346,0.000013579035,3.386184e-7,0.00083428755,0.8516777,0.00079517165,0.009370233,0.0009778223,0.08364935],"study_design_scores_gemma":[0.000073241456,0.000008445715,0.00056994095,0.0000035815285,0.000006473061,6.393326e-7,0.00036846343,0.99044406,0.00017194432,0.0016348449,0.0066476506,0.00007073731],"about_ca_topic_score_codex":0.000012995162,"about_ca_topic_score_gemma":0.000005452037,"teacher_disagreement_score":0.6796093,"about_ca_system_score_codex":0.000006220615,"about_ca_system_score_gemma":0.000008745305,"threshold_uncertainty_score":0.16274285},"labels":[],"label_agreement":null},{"id":"W1939626859","doi":"10.1017/cbo9780511584046.012","title":"Programs in Execution: Processes and Threads","year":2003,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","score_opus":0.13525961309079484,"score_gpt":0.3043927513779245,"score_spread":0.16913313828712964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1939626859","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038441736,0.00019307456,0.0023040911,0.00006447999,0.000038098915,0.00065482466,0.000050163704,0.00010439997,0.99620646],"genre_scores_gemma":[0.009297958,0.000106612635,0.00041811043,0.00007393293,0.000027774668,0.0000042632764,0.000019000869,0.000018423096,0.9900339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983728,0.000033412536,0.0003073702,0.00061632093,0.00049593765,0.0001741515],"domain_scores_gemma":[0.9985192,0.00019293252,0.0002409831,0.00053888944,0.00039322558,0.0001148121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032704562,0.00022644551,0.00031799386,0.00030922747,0.0001480854,0.00013853442,0.0004771157,0.0002803409,0.000009154052],"category_scores_gemma":[0.0000650863,0.00022356962,0.00007523071,0.000057873396,0.00026118543,0.00012948034,0.00019539933,0.0002472281,0.000010775544],"study_design_candidate":"not_applicable","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":[0.000016116783,0.000013601682,0.00008108489,0.000022297252,0.000009202115,0.000024297618,0.000049658098,0.0000017560094,0.0000029987784,0.97297424,0.013845606,0.012959159],"study_design_scores_gemma":[0.0002383415,0.00003085561,0.000061283194,0.00007716949,0.000024419733,0.000009950042,0.0000725046,0.0000410816,0.00006710264,0.0017829522,0.9973437,0.0002506438],"about_ca_topic_score_codex":0.00004133249,"about_ca_topic_score_gemma":0.000009985227,"teacher_disagreement_score":0.9834981,"about_ca_system_score_codex":0.00007617333,"about_ca_system_score_gemma":0.000097909324,"threshold_uncertainty_score":0.9116905},"labels":[],"label_agreement":null},{"id":"W1951792080","doi":"10.5555/2348196.2348227","title":"VCELL: a 3D real-time visual simulation in support of combat","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Computer science; Visualization; Modular design; DEVS; Real-time computing; Software; Simulation; Modeling and simulation; Distributed computing; Human–computer interaction; Artificial intelligence; Operating system","score_opus":0.1826582378405571,"score_gpt":0.45332238048246254,"score_spread":0.2706641426419054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1951792080","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":[0.6417691,0.0000021477367,0.05503104,0.00010953648,0.000031521424,0.00042129334,0.000008503909,0.00014110324,0.30248573],"genre_scores_gemma":[0.9864577,0.000002276026,0.008274026,0.000091646274,0.00000855925,0.000010605063,0.00000516056,0.0000059350377,0.0051440694],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985581,0.00005052562,0.00062144833,0.00022391419,0.00043877048,0.00010726117],"domain_scores_gemma":[0.99873006,0.00051540975,0.00016717291,0.0003434598,0.00019863181,0.000045281067],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009392058,0.000067306566,0.00016884979,0.00024543583,0.000028154802,0.000017990667,0.00025692172,0.000061360566,0.009248348],"category_scores_gemma":[0.00018066162,0.00005167115,0.00005130873,0.00064122543,0.000048221857,0.00016579301,0.000058536458,0.000039792954,0.0004960268],"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":[0.00043381954,0.0037937872,0.37182242,0.000021641532,0.000038766848,0.0000149038915,0.009614587,0.028625995,0.05301062,0.163142,0.06253886,0.3069426],"study_design_scores_gemma":[0.00093691814,0.0003916502,0.21719077,0.0000096273325,0.000012142849,0.0000018566947,0.0003460025,0.6185191,0.032736454,0.100434124,0.029034663,0.00038663822],"about_ca_topic_score_codex":0.00023577976,"about_ca_topic_score_gemma":0.000019981811,"teacher_disagreement_score":0.58989316,"about_ca_system_score_codex":0.00001311669,"about_ca_system_score_gemma":0.000027887416,"threshold_uncertainty_score":0.9916573},"labels":[],"label_agreement":null},{"id":"W1964497103","doi":"10.1109/isma.2012.6215174","title":"An effective potential field model to solve hospital resource management crisis","year":2012,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Burman University","funders":"","keywords":"Field (mathematics); Computer science; Resource management (computing); Resource (disambiguation); Moment (physics); Resource distribution; Distribution (mathematics); Resource allocation; Operations research; Distributed computing; Engineering; Mathematics; Computer network","score_opus":0.040084147391479266,"score_gpt":0.40570912696421707,"score_spread":0.3656249795727378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964497103","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":[0.08047087,0.000005194205,0.88162977,0.002382977,0.000054423122,0.0005503003,0.000004250849,0.00012693583,0.03477531],"genre_scores_gemma":[0.9357666,6.6153956e-7,0.060325067,0.0022049965,0.00008835343,0.00013403546,0.000002281888,0.0000074857016,0.0014705663],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865544,0.000027262338,0.00024070915,0.0003066402,0.0005513372,0.0002186251],"domain_scores_gemma":[0.9988671,0.00014996629,0.00004891969,0.00063573546,0.000098063676,0.00020021918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007379685,0.00008912029,0.00010519954,0.00015334961,0.0001413531,0.00013298474,0.00044546768,0.000052338135,0.0004382268],"category_scores_gemma":[0.00005685227,0.00006671309,0.000076036486,0.0003612083,0.000010639815,0.00030794303,0.0001508247,0.000056020297,0.00039315168],"study_design_candidate":"not_applicable","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":[0.000040806186,0.0005428047,0.0015125104,0.0000022033598,0.000024425139,0.0000011801022,0.0018578337,0.025576018,0.00040647117,0.16888738,0.5316026,0.26954573],"study_design_scores_gemma":[0.0009776218,0.0011238666,0.050265856,0.000014742641,0.00010668703,0.0000041826215,0.015728347,0.445343,0.034154985,0.24633546,0.20455633,0.0013889497],"about_ca_topic_score_codex":0.000023924953,"about_ca_topic_score_gemma":0.0000017352941,"teacher_disagreement_score":0.85529566,"about_ca_system_score_codex":0.000021197571,"about_ca_system_score_gemma":0.0000028003683,"threshold_uncertainty_score":0.5053301},"labels":[],"label_agreement":null},{"id":"W1967955888","doi":"10.1117/12.673645","title":"Federated executable architecture technology as an enabling technology for simulation of large systems","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"U.S. Department of Defense","keywords":"Executable; Computer science; Interoperability; High-level architecture; Architecture; Distributed computing; Software engineering; Architecture framework; Computer architecture; Embedded system; Operating system","score_opus":0.021564887507534852,"score_gpt":0.3113281066853035,"score_spread":0.2897632191777686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967955888","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":[0.98269224,0.00011032804,0.012540384,0.0021707604,0.00010706133,0.0011727943,0.00010554481,0.00020435455,0.0008965536],"genre_scores_gemma":[0.9271031,0.000008832441,0.071959525,0.000030993102,0.00019172985,0.00032276486,0.000017186909,0.00004164083,0.0003242299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969834,3.6677527e-8,0.0012342174,0.0005338281,0.00085900346,0.00038949915],"domain_scores_gemma":[0.99366426,0.00045345238,0.00083686784,0.00011333288,0.004866105,0.000065994456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013298144,0.0002635848,0.0005219939,0.0005418397,0.00018745002,0.00018320416,0.001169742,0.0004123052,0.00001093514],"category_scores_gemma":[0.0017856859,0.00021016729,0.000390622,0.0014296168,0.0002259348,0.00045248284,0.0001619416,0.00025217116,0.0000012842111],"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":[0.00005608322,0.00013881539,0.00045135466,0.000099562094,0.000069315196,2.0949026e-8,0.00003974653,0.013990879,0.30813769,0.675791,0.00060711836,0.00061838486],"study_design_scores_gemma":[0.0011604935,0.00048654593,0.00015156255,0.00017356942,0.00008579996,0.000012514935,0.002655106,0.6173449,0.24105223,0.11699562,0.019537212,0.00034444526],"about_ca_topic_score_codex":0.000017793094,"about_ca_topic_score_gemma":4.0612997e-7,"teacher_disagreement_score":0.60335404,"about_ca_system_score_codex":0.00009440683,"about_ca_system_score_gemma":0.000046457193,"threshold_uncertainty_score":0.85703737},"labels":[],"label_agreement":null},{"id":"W1970042324","doi":"10.1007/s11227-006-4669-6","title":"Scalability and Performance Evaluation of DDM-Based Aggregation/Dissaggregation Protocols for Large-Scale Distributed Interactive Simulations Systems","year":2006,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Scalability; Interoperability; Distributed computing; High-level architecture; Grid; Consistency (knowledge bases); Scale (ratio); Concurrency; Database; Operating system","score_opus":0.09338641958437574,"score_gpt":0.41428816888583075,"score_spread":0.320901749301455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970042324","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":[0.6426343,0.0000303852,0.35402828,0.00018730981,0.000033258813,0.003004939,0.000049883376,0.0000091021775,0.000022560613],"genre_scores_gemma":[0.9962243,5.3690115e-7,0.0034860247,0.00000982256,0.00010897919,0.00013471578,0.000022422855,0.0000067837427,0.000006434497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718183,0.00040056193,0.0011765037,0.00014122791,0.0009779924,0.00012188096],"domain_scores_gemma":[0.9925379,0.002723535,0.0010113887,0.0002680242,0.003424727,0.00003438575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009410938,0.00009462608,0.00023720937,0.00016137019,0.0003396099,0.000104474486,0.000270066,0.000051445997,0.000016063608],"category_scores_gemma":[0.0012673497,0.000061013572,0.000082573664,0.00050595234,0.00007014131,0.00042660182,0.00003351396,0.000112729955,6.68606e-7],"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":[0.00012242366,0.00017020163,0.0712909,0.000027007822,0.000011808914,2.7643171e-8,0.0005306812,0.90172815,0.001450522,0.00044708606,0.00017937772,0.024041805],"study_design_scores_gemma":[0.000783405,0.00010175027,0.07793926,0.00014623825,0.00004779348,0.0000046669784,0.00056956406,0.911348,0.004065705,0.004684871,0.00024891508,0.00005986449],"about_ca_topic_score_codex":0.000023151199,"about_ca_topic_score_gemma":0.000011448131,"teacher_disagreement_score":0.35359,"about_ca_system_score_codex":0.000099107296,"about_ca_system_score_gemma":0.000118723576,"threshold_uncertainty_score":0.3261662},"labels":[],"label_agreement":null},{"id":"W1970806576","doi":"10.1007/s11009-005-1483-1","title":"Production/Clearing Models Under Continuous and Sporadic Reviews","year":2005,"lang":"en","type":"article","venue":"Methodology And Computing In Applied Probability","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clearing; Mathematics; Mathematical optimization; Product (mathematics); Economic shortage; Poisson distribution; Production (economics); Process (computing); Distribution (mathematics); Holding cost; Computer science; Statistics; Economics; Microeconomics","score_opus":0.4422172269648824,"score_gpt":0.45427971097234904,"score_spread":0.012062484007466623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970806576","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":[0.5772418,0.00044559306,0.41828436,0.0012497467,0.000040497223,0.0006786453,4.284012e-7,0.00007088945,0.0019880766],"genre_scores_gemma":[0.6643171,0.000031885163,0.3352667,0.00024382489,0.000049885748,0.000026199603,5.619396e-7,0.000004136885,0.000059725997],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99747735,0.0007011438,0.0007422585,0.0007247603,0.00016130299,0.00019316789],"domain_scores_gemma":[0.9974371,0.0017789762,0.00021263743,0.00045319487,0.000059945727,0.000058100653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0150697855,0.00012684603,0.00043439848,0.0001158312,0.00019064012,0.00005278638,0.00019568771,0.0001160811,0.000023654287],"category_scores_gemma":[0.00093625137,0.00010242803,0.00003365766,0.00040319344,0.0002535324,0.00008142738,0.00018021716,0.00024255404,0.0000089149235],"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":[0.000030279618,0.00006641234,0.012285817,0.00001563741,0.000003491738,1.2325114e-7,0.00080460554,0.02149954,0.00043371203,0.15785915,0.00012704832,0.80687416],"study_design_scores_gemma":[0.00018769082,0.000014626968,0.036166225,0.000010963732,0.0000062638833,0.000011866439,0.00013888857,0.038490005,0.00032269405,0.91894424,0.005568604,0.00013791631],"about_ca_topic_score_codex":0.000016750408,"about_ca_topic_score_gemma":0.000022583634,"teacher_disagreement_score":0.8067363,"about_ca_system_score_codex":0.000029374738,"about_ca_system_score_gemma":0.000016533033,"threshold_uncertainty_score":0.5222917},"labels":[],"label_agreement":null},{"id":"W197177183","doi":"10.5555/2048476.2048490","title":"Interfacing DEVS and visualization models for emergency management","year":2011,"lang":"en","type":"article","venue":"","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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Interfacing; Visualization; Computer science; Simulation; Distributed computing; Real-time computing; Human–computer interaction; Modeling and simulation; Artificial intelligence","score_opus":0.39364268184849954,"score_gpt":0.46951761375049406,"score_spread":0.07587493190199451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W197177183","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":[0.016966559,0.00001250494,0.91286045,0.00005226541,0.00003320901,0.0002927245,0.0000018330246,0.00006319023,0.06971728],"genre_scores_gemma":[0.95088965,0.000016351561,0.044221383,0.00005815711,0.0000075199996,0.00007061688,0.0000014469038,0.0000043346904,0.0047305683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931383,0.000009348897,0.0002700833,0.0001873548,0.0001524448,0.00006691291],"domain_scores_gemma":[0.99957335,0.0000402744,0.000057971094,0.00017639907,0.00012233482,0.000029691699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038790485,0.000044120872,0.000055905653,0.00010563034,0.00008158381,0.000028228942,0.00013156378,0.000019926985,0.00060474494],"category_scores_gemma":[0.000028801154,0.00003284594,0.000024202167,0.0002027199,0.000010019734,0.00013948491,0.00008610936,0.000011100353,0.00001820542],"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":[0.0000045283764,0.000016602156,0.0005059167,0.000002592609,0.000003397889,3.016235e-8,0.0003608485,0.000088578236,0.0000445155,0.92562497,0.0030093486,0.070338696],"study_design_scores_gemma":[0.00007075574,0.000016395901,0.0008556957,0.0000018544098,0.0000042827587,2.1140428e-7,0.00037911255,0.18408637,0.0016042029,0.8093969,0.0035316113,0.00005257286],"about_ca_topic_score_codex":0.000011219303,"about_ca_topic_score_gemma":0.000006228792,"teacher_disagreement_score":0.93392307,"about_ca_system_score_codex":0.000004953714,"about_ca_system_score_gemma":0.0000020332739,"threshold_uncertainty_score":0.6621533},"labels":[],"label_agreement":null},{"id":"W1972805479","doi":"10.1016/j.laa.2004.02.001","title":"Rate-tilting for fast simulation of level/phase processes","year":2004,"lang":"en","type":"article","venue":"Linear Algebra and its Applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Mathematics; Hitting time; Bounded function; Event (particle physics); Boundary (topology); Generator (circuit theory); Set (abstract data type); Process (computing); Eigenvalues and eigenvectors; Matrix (chemical analysis); Markov process; State space; Applied mathematics; Computer science; Statistics; Discrete mathematics; Mathematical analysis","score_opus":0.17165995885577603,"score_gpt":0.45573273439235257,"score_spread":0.2840727755365765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972805479","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":[0.10315758,0.0001362514,0.8940527,0.00076091726,0.000012875113,0.001217564,0.0002193256,0.00008382881,0.00035896062],"genre_scores_gemma":[0.98467195,0.000023456023,0.014135046,0.00012168175,0.000103532315,0.0005025073,0.000056035446,0.000014565045,0.00037121604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986112,0.000016993625,0.0006058721,0.0003676747,0.00025863617,0.00013961908],"domain_scores_gemma":[0.9972125,0.0011457705,0.00029339836,0.00033738744,0.0009298421,0.000081066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005247559,0.000112476206,0.00019224451,0.00014979034,0.0002909876,0.00006698596,0.00027054103,0.000074342424,0.000039375678],"category_scores_gemma":[0.0009508941,0.000093588336,0.000058525035,0.00090138207,0.00005807191,0.00022656326,0.00004768633,0.000056600733,0.00003054808],"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":[0.000097625,0.001157443,0.0004152719,0.00020229402,0.0000441986,1.9648692e-7,0.0015465837,0.14439031,0.030565336,0.57651514,0.00041478736,0.24465083],"study_design_scores_gemma":[0.00298634,0.00027302405,0.0011442542,0.00005197573,0.000070065835,0.0000031288982,0.0007237542,0.27121973,0.11808174,0.4489318,0.15602182,0.0004923445],"about_ca_topic_score_codex":0.000005299467,"about_ca_topic_score_gemma":0.000006304662,"teacher_disagreement_score":0.8815144,"about_ca_system_score_codex":0.000012757534,"about_ca_system_score_gemma":0.00009557845,"threshold_uncertainty_score":0.38164216},"labels":[],"label_agreement":null},{"id":"W1973025928","doi":"10.1504/ijcis.2011.045056","title":"A hybrid systems model to simulate cyber interdependencies between critical infrastructures","year":2011,"lang":"en","type":"article","venue":"International Journal of Critical Infrastructures","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"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 British Columbia","funders":"U.S. Department of Homeland Security","keywords":"Interdependence; Flexibility (engineering); Key (lock); Computer science; Critical infrastructure; Distributed computing; Telecommunications network; Interdependent networks; Simulation; Systems engineering; Computer security; Computer network; Complex network; Engineering","score_opus":0.1642003717611019,"score_gpt":0.46169506678170014,"score_spread":0.2974946950205982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973025928","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":[0.22261113,0.00008265244,0.7676163,0.0026405293,0.0016908956,0.0001950421,0.00032329248,0.000065772925,0.004774394],"genre_scores_gemma":[0.95557916,0.0000031052662,0.042466518,0.0009765384,0.000842356,0.000009679467,0.0000044166877,0.000027356233,0.00009088589],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943165,0.00017157278,0.0019710192,0.0004328714,0.0027161909,0.00039180118],"domain_scores_gemma":[0.99178195,0.0025171733,0.00037007342,0.00047133848,0.0043143746,0.0005451014],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011997364,0.00029913097,0.00057218416,0.00089838356,0.00014674527,0.0006581052,0.0024202438,0.00015610232,0.0015051917],"category_scores_gemma":[0.01128144,0.00022061731,0.0003245216,0.00027314163,0.00044676894,0.0008717462,0.00042582687,0.000559578,0.00006940205],"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":[0.0006519626,0.00033045627,0.017754007,0.00003270354,0.0003947617,0.000319,0.004532537,0.09757547,0.0037329912,0.7789757,0.061311547,0.03438884],"study_design_scores_gemma":[0.00032383035,0.0001942286,0.024295684,0.00007574141,0.000058263628,0.00031212566,0.0003740389,0.01841519,0.005236092,0.94707036,0.0033245187,0.00031993943],"about_ca_topic_score_codex":0.000044973185,"about_ca_topic_score_gemma":0.000002684963,"teacher_disagreement_score":0.73296803,"about_ca_system_score_codex":0.000120495846,"about_ca_system_score_gemma":0.00016190295,"threshold_uncertainty_score":0.9994076},"labels":[],"label_agreement":null},{"id":"W1974627267","doi":"10.1109/have.2011.6088397","title":"Dynamic load redistribution based on migration latency analysis for distributed virtual simulations","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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 Ottawa","funders":"","keywords":"Computer science; Distributed computing; Load balancing (electrical power); Process migration; High-level architecture; Latency (audio); Software deployment; Virtual machine; Scheme (mathematics); Load management; Fault tolerance; Engineering; Operating system","score_opus":0.10093977935353987,"score_gpt":0.38718390061268765,"score_spread":0.2862441212591478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974627267","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":[0.046486888,0.0000021394987,0.94909525,0.00069343456,0.000047206864,0.00051039475,0.0012746392,0.00019813368,0.0016919232],"genre_scores_gemma":[0.9869269,6.112387e-7,0.010603598,0.00014175296,0.0000140999855,0.00009758807,0.0015966413,0.000007813322,0.0006109527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785477,0.000066262364,0.00066637405,0.0004920398,0.0007329243,0.00018761645],"domain_scores_gemma":[0.9970326,0.0009453305,0.00024753582,0.00071633747,0.0009638757,0.000094329844],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008420217,0.00014130717,0.00022177045,0.00039876325,0.0003059524,0.00010357072,0.0003379442,0.00011707129,0.0012360408],"category_scores_gemma":[0.0011970198,0.000110223606,0.00028621306,0.0025887918,0.00005069843,0.00021170363,0.000022551456,0.00006641136,0.000074113064],"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":[0.00053807837,0.0016614746,0.069998585,0.0000050385956,0.00029144247,0.0000012696279,0.00051848637,0.60040164,0.0025156755,0.27543783,0.015614982,0.0330155],"study_design_scores_gemma":[0.00027340482,0.00012643327,0.050335467,0.000001918704,0.00010243666,8.005732e-8,0.00006352062,0.9130042,0.0011320205,0.031770144,0.0030560165,0.00013434788],"about_ca_topic_score_codex":0.000068930894,"about_ca_topic_score_gemma":0.00035368383,"teacher_disagreement_score":0.94044006,"about_ca_system_score_codex":0.00014929207,"about_ca_system_score_gemma":0.00007987436,"threshold_uncertainty_score":0.99967694},"labels":[],"label_agreement":null},{"id":"W1974722603","doi":"10.5555/1639809.1639860","title":"Selecting GVT interval for time-warp-based distributed simulation using reinforcement learning technique","year":2009,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"Computer science; Timestamp; Interval (graph theory); Computation; Reinforcement learning; Overhead (engineering); Process (computing); Distributed computing; Simple (philosophy); Real-time computing; Parallel computing; Algorithm; Artificial intelligence; Mathematics","score_opus":0.14161994389628363,"score_gpt":0.4401805692379891,"score_spread":0.29856062534170547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974722603","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":[0.12910433,0.000005180496,0.86882484,0.00011865811,0.000043605574,0.0013377521,0.000009128622,0.00041657957,0.0001398948],"genre_scores_gemma":[0.9345672,2.8220288e-7,0.064959064,0.00014204314,0.00008247913,0.0000648319,0.000044551194,0.000023234903,0.00011632638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99685127,0.00016052357,0.001150242,0.0006697351,0.00076559524,0.00040261436],"domain_scores_gemma":[0.99455994,0.0028009068,0.0006779193,0.0005714227,0.0012719469,0.00011787842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017712588,0.00028273647,0.00036384456,0.0004069348,0.0006490355,0.00040863946,0.0004738762,0.0001866018,0.00013730487],"category_scores_gemma":[0.004262791,0.0002729337,0.00019452548,0.0008469484,0.000050133593,0.00047939684,0.00006414002,0.0002680292,0.00004065849],"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":[0.000050625422,0.000042248128,0.0028296455,0.0000054490615,0.0000053265726,2.3482754e-7,0.00008195998,0.962083,0.015189064,0.00060982374,0.0000029647688,0.019099694],"study_design_scores_gemma":[0.00058142014,0.0001282794,0.004122754,0.000074684074,0.000021090715,3.570168e-7,0.000038537117,0.97764546,0.012472826,0.0030152095,0.0015858898,0.0003135133],"about_ca_topic_score_codex":0.000034499506,"about_ca_topic_score_gemma":0.0000025018599,"teacher_disagreement_score":0.80546284,"about_ca_system_score_codex":0.00018226198,"about_ca_system_score_gemma":0.000120685756,"threshold_uncertainty_score":0.9999723},"labels":[],"label_agreement":null},{"id":"W1976234213","doi":"10.1109/iembs.2011.6089921","title":"Discrete interference modeling via boolean algebra","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Western University","funders":"","keywords":"Boolean algebra; Two-element Boolean algebra; Interference (communication); Computer science; Boolean algebras canonically defined; And-inverter graph; Free Boolean algebra; Stone's representation theorem for Boolean algebras; Boolean expression; Algebra over a field; Boolean function; Theoretical computer science; Mathematics; Algorithm; Algebra representation; Pure mathematics; Telecommunications","score_opus":0.29065888726456535,"score_gpt":0.41374281417341113,"score_spread":0.12308392690884579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976234213","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":[0.034447618,0.0000064098585,0.861806,0.00016734311,0.000032266347,0.000091005466,0.0000015091446,0.00014138322,0.10330649],"genre_scores_gemma":[0.9738696,0.000002039326,0.02298156,0.0002595559,0.000019515444,0.00001589396,0.0000011103733,0.000005754104,0.0028449425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998888,0.00002540105,0.00036788685,0.00028519478,0.00031179193,0.00012169194],"domain_scores_gemma":[0.9990757,0.000095992895,0.00006252054,0.0005386586,0.00015288791,0.00007422827],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004941902,0.00007254474,0.00009855926,0.000100607685,0.00008968391,0.000075410266,0.00057117315,0.000037591813,0.0038311305],"category_scores_gemma":[0.000115166855,0.000048305457,0.00006107195,0.00029451994,0.000033851036,0.00023376405,0.00012489276,0.00006485881,0.00079056324],"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":[0.00003435367,0.00011729173,0.007086984,0.0000017826097,0.00001451376,0.0000019106901,0.002515275,0.0011652282,0.002197176,0.65047777,0.006425189,0.32996255],"study_design_scores_gemma":[0.000043017928,0.000020627525,0.00047396246,0.000002746287,0.0000021705498,0.0000012786737,0.00023191355,0.52315104,0.0034053123,0.47137788,0.0012001804,0.00008985024],"about_ca_topic_score_codex":0.00011167077,"about_ca_topic_score_gemma":0.00001917471,"teacher_disagreement_score":0.939422,"about_ca_system_score_codex":0.000008154419,"about_ca_system_score_gemma":0.000010493861,"threshold_uncertainty_score":0.9999874},"labels":[],"label_agreement":null},{"id":"W1977180101","doi":"10.5555/1400549.1400612","title":"Performance analysis of web-based distributed simulation in DCD++: a case study across the Atlantic Ocean","year":2008,"lang":"en","type":"article","venue":"","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Web service; Distributed computing; The Internet; Web-based simulation; Service (business); Visualization; Web mapping; Modeling and simulation; Web modeling; World Wide Web; Simulation; Data mining","score_opus":0.12634265288762472,"score_gpt":0.43943753944049574,"score_spread":0.313094886552871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977180101","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":[0.9785177,0.0000024020007,0.02080453,0.000100082936,0.00000839392,0.00041350172,0.000030349202,0.000045372508,0.00007762996],"genre_scores_gemma":[0.999708,0.0000011387142,0.00013070363,0.000044328677,0.0000058746546,0.000014642767,0.000017509108,0.0000036864562,0.00007408955],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818265,0.00011807535,0.00068655337,0.0002670413,0.0006082174,0.00013745017],"domain_scores_gemma":[0.9973236,0.00144517,0.00021033033,0.00068654737,0.00029998293,0.00003442202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014271825,0.00008675308,0.00024648063,0.00029064456,0.0002774037,0.000043015156,0.00033772827,0.000036566267,0.00015590801],"category_scores_gemma":[0.0003020422,0.0000504922,0.000113559,0.005209862,0.00009417687,0.0001249341,0.00005355484,0.00007181344,0.0000096622625],"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":[0.0000066711505,0.00012028153,0.61555094,3.4000445e-7,0.000013065685,0.000011372976,0.00046394864,0.38320103,0.0000050692247,0.000009171732,0.000045519704,0.0005726065],"study_design_scores_gemma":[0.00022893083,0.000027305823,0.39869562,7.968346e-7,0.000028685654,0.000004251077,0.0013324268,0.59948385,0.00003697937,0.000016858745,0.0001041742,0.000040094186],"about_ca_topic_score_codex":0.00084446697,"about_ca_topic_score_gemma":0.0013423407,"teacher_disagreement_score":0.2168553,"about_ca_system_score_codex":0.000025887774,"about_ca_system_score_gemma":0.000038917868,"threshold_uncertainty_score":0.2503166},"labels":[],"label_agreement":null},{"id":"W1977472445","doi":"10.1109/ds-rt.2008.30","title":"Web-Based Distributed Simulations Visualization and Control with HLA and Web Services","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Web service; Visualization; Web application; Graphics; Distributed computing; High-level architecture; Software; Data visualization; World Wide Web; Operating system; Interoperability","score_opus":0.04132057605545635,"score_gpt":0.3590718620292022,"score_spread":0.31775128597374586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977472445","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":[0.6690667,0.000026925456,0.3290027,0.00063342805,0.000007048991,0.0003064368,0.00012700388,0.00015959288,0.000670166],"genre_scores_gemma":[0.99688256,0.000008710384,0.002224064,0.0005207891,0.000014945072,0.00002079524,0.000055125063,0.00000746562,0.00026555138],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988606,0.000050887327,0.00029052785,0.0002963331,0.0003963998,0.000105241656],"domain_scores_gemma":[0.99851775,0.00069916126,0.00011677774,0.00025413296,0.00032005023,0.000092109614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022339482,0.00009930555,0.0001479252,0.00013488627,0.00034867835,0.00013187918,0.000115257724,0.00005308442,0.00020784963],"category_scores_gemma":[0.000074253825,0.00006646923,0.000017867504,0.00060234906,0.00011761329,0.00022915803,0.000022188857,0.000037094163,0.000010272972],"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":[0.000116099814,0.00020741065,0.9378088,0.000014867815,0.000026590258,0.0000038543913,0.0003034949,0.016428776,0.005086226,0.033179857,0.0020862047,0.004737782],"study_design_scores_gemma":[0.0013018603,0.000052079027,0.06602255,0.000006367903,0.000012211679,0.000005664585,0.00008978095,0.90532106,0.00045549334,0.001807079,0.024808915,0.00011695872],"about_ca_topic_score_codex":0.000024425244,"about_ca_topic_score_gemma":0.000101571684,"teacher_disagreement_score":0.88889223,"about_ca_system_score_codex":0.00000868316,"about_ca_system_score_gemma":0.000049413215,"threshold_uncertainty_score":0.27105364},"labels":[],"label_agreement":null},{"id":"W1979748495","doi":"10.1109/tpds.2011.246","title":"Optimizing Techniques for Parallel Digital Logic Simulation","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Bottleneck; Correctness; Logic gate; Logic simulation; Digital electronics; Electronic circuit; Parallel computing; Algorithm; Embedded system; Electrical engineering","score_opus":0.16442425736207314,"score_gpt":0.3681253518143458,"score_spread":0.20370109445227266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979748495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013360117,0.00006310963,0.9946522,0.000103613165,0.00015538794,0.0011550207,0.0008211987,0.00037024723,0.0013431944],"genre_scores_gemma":[0.9852784,0.000017104949,0.013205333,0.00005596508,0.000042578147,0.00061194703,0.00005643406,0.000018461771,0.0007137765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794716,0.00005962535,0.0007686956,0.0005356981,0.0004220446,0.00026678096],"domain_scores_gemma":[0.9980236,0.0007363413,0.00024441216,0.00048368418,0.0003561754,0.00015574927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050993456,0.00022534489,0.00033213745,0.00021664641,0.00043555055,0.00036454227,0.00030046358,0.00018525387,0.00005789661],"category_scores_gemma":[0.000058233047,0.00017768923,0.00017820584,0.00042814665,0.00009331241,0.00046898026,0.0000033649353,0.00012606068,0.000043008757],"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":[0.00026238136,0.00034233465,0.00012555804,0.000018993278,0.000045082437,0.0000018231533,0.00040486877,0.96511513,0.00010443145,0.007434391,0.0010711855,0.025073819],"study_design_scores_gemma":[0.0010738769,0.0004854438,0.00030612617,0.000055834418,0.000060536757,0.000019149122,0.0013272256,0.9330118,0.0005592335,0.034017876,0.02844402,0.00063892995],"about_ca_topic_score_codex":0.000035155957,"about_ca_topic_score_gemma":0.0000036452905,"teacher_disagreement_score":0.9839424,"about_ca_system_score_codex":0.00004287899,"about_ca_system_score_gemma":0.00002582978,"threshold_uncertainty_score":0.72459567},"labels":[],"label_agreement":null},{"id":"W1980730102","doi":"10.5555/1030818.1030974","title":"Simulation test bed for manufacturing analysis: a simulation test bed for producton and supply chain modeling","year":2003,"lang":"en","type":"article","venue":"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":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Kanban; Supply chain; Simulation; Visual Basic for Applications; Macro; Interface (matter); Material requirements planning; Transient (computer programming); Production (economics); Operating system","score_opus":0.14467731924333882,"score_gpt":0.4084836334060673,"score_spread":0.2638063141627285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980730102","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":[0.19042714,0.000024977964,0.80644244,0.00043256886,0.00008222492,0.0021516483,0.00014378308,0.00017150388,0.00012368531],"genre_scores_gemma":[0.9841771,0.000002435434,0.014413758,0.00016310236,0.00013882668,0.0003098149,0.00018344047,0.00004018179,0.0005713388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962003,0.000117673015,0.0013588049,0.0012118964,0.0006949071,0.00041639456],"domain_scores_gemma":[0.9851117,0.01145371,0.0005963521,0.0008716207,0.0017963512,0.00017024067],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018373033,0.00037319786,0.0005608993,0.00077085145,0.0006445018,0.0006385633,0.00038166938,0.00020877401,0.00018497558],"category_scores_gemma":[0.009194885,0.00034298465,0.00028099286,0.00087280467,0.00006980706,0.0007990779,0.00006555392,0.00014374187,0.000013793861],"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":[0.00005210834,0.00009144193,0.007463006,0.000016582306,0.000042832406,1.0971593e-7,0.0006065591,0.9813217,0.0005064016,0.0012242631,0.00001790803,0.008657084],"study_design_scores_gemma":[0.00094195566,0.00013303666,0.001992788,0.000031294836,0.00018655274,3.465338e-7,0.00023128113,0.96442795,0.0032868867,0.025592746,0.0027858359,0.00038932648],"about_ca_topic_score_codex":0.00001548229,"about_ca_topic_score_gemma":0.00004626518,"teacher_disagreement_score":0.7937499,"about_ca_system_score_codex":0.00008583811,"about_ca_system_score_gemma":0.00008249416,"threshold_uncertainty_score":0.9999022},"labels":[],"label_agreement":null},{"id":"W1981154552","doi":"10.1016/j.jcss.2007.07.007","title":"An Adaptive Dynamic Grid-Based approach to DDM for large-scale distributed simulation systems","year":2007,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Distributed computing; Computer science; Grid; Scale (ratio); Computational science; Mathematics; Physics","score_opus":0.08831218270843036,"score_gpt":0.4104759402932044,"score_spread":0.322163757584774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981154552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07961785,0.000055545148,0.91917956,0.000076111835,0.00038382132,0.00044096657,0.000052376177,0.000028219085,0.00016553098],"genre_scores_gemma":[0.91761404,2.5217813e-7,0.08205718,0.000054929576,0.0002482175,0.0000066753396,0.000003551679,0.0000041466865,0.000011004058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974418,0.0001199084,0.0009536569,0.0003059395,0.00096029136,0.0002183679],"domain_scores_gemma":[0.9970188,0.0010905644,0.0005836336,0.00020842004,0.0008823658,0.00021618519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008399392,0.00010919579,0.0003203575,0.0004279338,0.00040157975,0.0005063021,0.0005925131,0.00005885971,9.74077e-7],"category_scores_gemma":[0.00005763782,0.00007053866,0.00009883598,0.00086639606,0.000057231635,0.00040178167,0.000030466239,0.00006239066,0.0000017303258],"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":[0.00006284083,0.00009739756,0.0013960667,0.00001420991,0.000005769694,7.500254e-7,0.00032912366,0.9856855,0.00006120985,0.006703194,0.00045642356,0.0051874607],"study_design_scores_gemma":[0.000294202,0.00053654774,0.0055439756,0.000045438323,0.000008489604,0.00001969125,0.0023648024,0.98840994,0.00003064591,0.0003800659,0.0022717034,0.000094515424],"about_ca_topic_score_codex":0.000004809583,"about_ca_topic_score_gemma":0.0000034461764,"teacher_disagreement_score":0.8379962,"about_ca_system_score_codex":0.00006226179,"about_ca_system_score_gemma":0.000072358525,"threshold_uncertainty_score":0.48822832},"labels":[],"label_agreement":null},{"id":"W1981221062","doi":"10.1109/ds-rt.2010.37","title":"Global Lookahead Management (GLM) Protocol for Conservative DEVS Simulation","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"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":"Computer science; Asynchronous communication; DEVS; Snapshot (computer storage); Bottleneck; Correctness; Distributed computing; Multiprocessing; Synchronization (alternating current); Protocol (science); Parallel computing; Computer network; Algorithm; Modeling and simulation; Operating system; Embedded system; Simulation","score_opus":0.24509027635122962,"score_gpt":0.5668600247779836,"score_spread":0.321769748426754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981221062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023488293,1.1155602e-7,0.78370243,0.0009214035,0.00005269975,0.13854116,0.000023466508,0.00018221277,0.07422768],"genre_scores_gemma":[0.4935992,3.218018e-8,0.13099147,0.0009209362,0.00008108251,0.36569455,0.000007457425,0.000009322405,0.00869595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984726,0.000024058676,0.00047734057,0.00036370402,0.0005060676,0.00015628395],"domain_scores_gemma":[0.9980331,0.0006845625,0.00016366056,0.00051757705,0.000528285,0.000072823386],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008345481,0.000103101745,0.00012241458,0.000074092066,0.00018697277,0.00018192206,0.00040347868,0.0000734315,0.0010841343],"category_scores_gemma":[0.00035167794,0.00007422348,0.00008195461,0.00056271366,0.00006332816,0.0002032573,0.000077920406,0.000049921808,0.00017186243],"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":[0.00008759932,0.00014980606,0.014193376,0.000009704994,0.000012589306,4.144126e-7,0.000041411247,0.004670214,0.000119867276,0.77842367,0.04422495,0.15806638],"study_design_scores_gemma":[0.0006220197,0.000034405795,0.014579972,0.0000029176547,0.000003706602,4.3555497e-7,0.00006630315,0.11616501,0.00045429947,0.26064396,0.6073216,0.000105375846],"about_ca_topic_score_codex":0.000013952348,"about_ca_topic_score_gemma":0.00008130088,"teacher_disagreement_score":0.652711,"about_ca_system_score_codex":0.000024657975,"about_ca_system_score_gemma":0.000031322426,"threshold_uncertainty_score":0.999829},"labels":[],"label_agreement":null},{"id":"W1981264203","doi":"10.5555/1404680.1404723","title":"Studying the impact of web-services implementation of distributed simulation of DEVS and Cell-DEVS models","year":2007,"lang":"en","type":"article","venue":"","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; Computer science; Distributed computing; Web service; The Internet; Grid; Discrete event simulation; Modeling and simulation; Computer network; Simulation; Operating system; World Wide Web","score_opus":0.1267370561571908,"score_gpt":0.48420929661950435,"score_spread":0.3574722404623135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981264203","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":[0.75479716,0.000020670048,0.24424002,0.00002317063,0.0000050863305,0.00027463862,0.00006329348,0.000011681055,0.0005642727],"genre_scores_gemma":[0.9987,0.0000063464217,0.001238253,0.000008578968,0.000006455047,0.0000037809114,0.000015959473,0.0000037282193,0.000016846885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984394,0.000038193826,0.0007999009,0.0001441543,0.0004845315,0.00009384788],"domain_scores_gemma":[0.99744415,0.0011371211,0.0005642904,0.00029630162,0.00052663323,0.00003148173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015231026,0.0000725374,0.00016861355,0.0001350853,0.000068246634,0.000024395651,0.0002338409,0.00003595407,0.00013692633],"category_scores_gemma":[0.000037179358,0.000041413714,0.00007581804,0.00063534826,0.000052488183,0.00024312336,0.00006810856,0.000031219013,7.400383e-7],"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":[0.000081476035,0.00019438054,0.2505965,0.000029596682,0.000044069147,9.30433e-8,0.003568245,0.64056706,0.04738078,0.0068691056,0.00019910722,0.050469574],"study_design_scores_gemma":[0.00046707573,0.00010710672,0.22703792,0.000007027634,0.000017802282,2.1571971e-7,0.008228179,0.6988583,0.04682418,0.01833963,0.00004142361,0.000071111856],"about_ca_topic_score_codex":0.00090224895,"about_ca_topic_score_gemma":0.00013444961,"teacher_disagreement_score":0.24390288,"about_ca_system_score_codex":0.000015918373,"about_ca_system_score_gemma":0.000033087097,"threshold_uncertainty_score":0.16888022},"labels":[],"label_agreement":null},{"id":"W1981467987","doi":"10.1145/1878537.1878696","title":"UAV search strategies using Cell-DEVS","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Rotation formalisms in three dimensions; Formalism (music); Discrete event simulation; Modeling and simulation; Artificial intelligence; Data mining; Theoretical computer science; Distributed computing; Real-time computing; Simulation; Mathematics","score_opus":0.2628427056126912,"score_gpt":0.5153813628896973,"score_spread":0.2525386572770061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981467987","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":[0.70377576,0.000002807876,0.15406142,0.00031451107,0.00006430849,0.00010945047,0.0000024256099,0.000102568505,0.14156674],"genre_scores_gemma":[0.9557135,6.8263205e-7,0.038990945,0.00009327734,0.000056281122,0.000004053023,8.5156086e-7,0.0000046483456,0.005135752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998876,0.0000215558,0.00024061126,0.0002141392,0.00052269053,0.0001250125],"domain_scores_gemma":[0.99885494,0.00032700485,0.00004242926,0.0004668264,0.00024464785,0.000064185246],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007780034,0.00005497329,0.00007448003,0.00011140412,0.00016107608,0.00040744312,0.00040956668,0.00005669932,0.0039657783],"category_scores_gemma":[0.0000807807,0.000037645026,0.000042953285,0.00046315108,0.000062973886,0.00027003896,0.00007143147,0.00013691484,0.00045569128],"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":[0.0000049814084,0.00010251979,0.0074835466,0.000002180563,0.0000028467152,0.0000013506232,0.00043021556,0.0029244851,0.4565598,0.47354758,0.012322208,0.04661828],"study_design_scores_gemma":[0.0003217638,0.000041792955,0.012846005,0.0000027710794,0.000006586978,0.000010336515,0.0061853942,0.23588209,0.2373398,0.31601375,0.19094543,0.00040427383],"about_ca_topic_score_codex":0.00012815831,"about_ca_topic_score_gemma":0.000039477865,"teacher_disagreement_score":0.25193775,"about_ca_system_score_codex":0.0000051708203,"about_ca_system_score_gemma":0.00008262603,"threshold_uncertainty_score":0.9969447},"labels":[],"label_agreement":null},{"id":"W1983418768","doi":"10.5555/1030818.1031048","title":"Simulation planning and rostering: a discrete event simulation for the crew assignment process in north american freight railroads","year":2003,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Crew; Schedule; Discrete event simulation; Crew scheduling; Process (computing); Operations research; Software; Computer science; Event (particle physics); Simulation software; Transport engineering; Government (linguistics); Engineering; Aeronautics; Simulation","score_opus":0.16093440640382906,"score_gpt":0.45389508286663083,"score_spread":0.2929606764628018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983418768","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":[0.28079337,0.000032585078,0.71737695,0.00029272903,0.00006357453,0.001149665,0.000016119098,0.00005544376,0.00021960799],"genre_scores_gemma":[0.99818844,0.0000021132457,0.0010816474,0.00021139192,0.00005332324,0.00024802974,0.000021656435,0.000022272818,0.0001711104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99718857,0.00019039259,0.0009645587,0.0006631998,0.000696208,0.0002970456],"domain_scores_gemma":[0.99274164,0.005534928,0.00054348126,0.0005401553,0.00053606316,0.0001037283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108185,0.00025030726,0.0003149994,0.00025413506,0.00031928785,0.00042227464,0.00036771456,0.00006643669,0.00011062326],"category_scores_gemma":[0.0018516806,0.00018060308,0.00009365107,0.00085205474,0.0001343665,0.0005166926,0.00006642971,0.00015976364,0.0000099198],"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":[0.00007577483,0.000028062905,0.06454649,0.00000548324,0.000008195047,2.9615532e-7,0.001499703,0.9158977,0.000016084528,0.00067943736,0.0000073786064,0.017235367],"study_design_scores_gemma":[0.00068388873,0.00008239647,0.10930405,0.000027333415,0.000014643793,3.9308745e-7,0.00059424347,0.88007706,0.00008927051,0.0041437945,0.004774147,0.00020878596],"about_ca_topic_score_codex":0.000012556515,"about_ca_topic_score_gemma":0.000081440834,"teacher_disagreement_score":0.7173951,"about_ca_system_score_codex":0.0000765312,"about_ca_system_score_gemma":0.00006438866,"threshold_uncertainty_score":0.736478},"labels":[],"label_agreement":null},{"id":"W1983941918","doi":"10.1177/1548512912459688","title":"The Generic Methodology for Verification and Validation to support acceptance of models, simulations and data","year":2012,"lang":"en","type":"article","venue":"The Journal of Defense Modeling and Simulation Applications Methodology Technology","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Computer science; Interoperability; Reuse; Acceptance testing; Process (computing); Structuring; Argumentation theory; Domain (mathematical analysis); Software engineering; Work (physics); Verification and validation; Process management; Systems engineering; Engineering; Operations management; Programming language","score_opus":0.6113254439311766,"score_gpt":0.5289732677680923,"score_spread":0.08235217616308432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983941918","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16760413,0.001250053,0.82669246,0.0035895319,0.000066326866,0.0007134413,0.00003986253,0.000028236384,0.00001594321],"genre_scores_gemma":[0.69324,0.00034561128,0.30615172,0.00009606174,0.000070338654,0.000051879902,0.000010656579,0.000011983953,0.000021773429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969588,0.0008594489,0.0013091649,0.00033595448,0.00029533156,0.00024131],"domain_scores_gemma":[0.9826337,0.013974129,0.0009784902,0.0011900255,0.0011200737,0.00010357429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014162987,0.00015579032,0.00041473025,0.0005325554,0.00066646724,0.00004985326,0.0008208545,0.00022442453,0.0000043448695],"category_scores_gemma":[0.004802235,0.00010070586,0.000045248024,0.000886033,0.00036275745,0.00038035086,0.00031696135,0.00021754157,0.0000010452096],"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":[0.0001488269,0.000044739692,0.0009960163,0.000007976442,0.000047582165,2.2091353e-8,0.0008930987,0.6610422,0.005382474,0.103291065,0.00011507015,0.2280309],"study_design_scores_gemma":[0.00025361497,0.00009342944,0.00024517984,0.0000037774087,0.00012457235,0.000040166702,0.00093731965,0.73071676,0.00073796307,0.25982302,0.0069303513,0.000093848095],"about_ca_topic_score_codex":0.000006725034,"about_ca_topic_score_gemma":0.000006839783,"teacher_disagreement_score":0.52563584,"about_ca_system_score_codex":0.000020735268,"about_ca_system_score_gemma":0.000056326586,"threshold_uncertainty_score":0.57490706},"labels":[],"label_agreement":null},{"id":"W1984734418","doi":"10.1016/s0045-7906(00)00026-4","title":"A VHDL-based HW/SW cosimulation of communication systems","year":2001,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"VHDL; Computer science; Embedded system; Interface (matter); Computer architecture; Software; Integrated Services Digital Network; Hardware description language; Abstraction; Programming language; Field-programmable gate array; Operating system","score_opus":0.05739456004890067,"score_gpt":0.3433094822894279,"score_spread":0.2859149222405273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984734418","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":[0.09351545,0.00020642756,0.9052934,0.00016664669,0.00007148832,0.00026831747,0.0000016618077,0.0002024536,0.0002741714],"genre_scores_gemma":[0.98714983,0.000009151592,0.012655089,0.000050259816,0.00003746036,0.000026594756,0.000011120619,0.000012384243,0.000048112204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984032,0.000065475906,0.0006025605,0.00023009484,0.00052277336,0.00017589376],"domain_scores_gemma":[0.9973036,0.0015548795,0.00017717863,0.00060976634,0.00027567009,0.00007887279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006248613,0.00011161577,0.00024713704,0.00036503945,0.000073716925,0.00009100864,0.00053876755,0.00007709219,0.0000132195655],"category_scores_gemma":[0.00032223706,0.00010233339,0.00008943546,0.0016839553,0.000021263791,0.00012260563,0.00004780608,0.00012869624,0.000016074446],"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":[0.0000073679003,0.000044152795,0.0010847836,0.000002483613,0.000005590873,4.978418e-7,0.000022916825,0.97195774,0.0011076225,0.011637486,0.0008948401,0.013234497],"study_design_scores_gemma":[0.00023445362,0.00003810976,0.004175015,0.00002217563,0.0000055075893,0.0000035576443,0.0000036561833,0.98548996,0.00066813035,0.00046245568,0.008792969,0.00010402327],"about_ca_topic_score_codex":0.000022145687,"about_ca_topic_score_gemma":3.7918446e-7,"teacher_disagreement_score":0.8936344,"about_ca_system_score_codex":0.00007147731,"about_ca_system_score_gemma":0.00002781968,"threshold_uncertainty_score":0.41730347},"labels":[],"label_agreement":null},{"id":"W1985282888","doi":"10.1145/1501434.1501512","title":"Towards an MDA-oriented UML profile for critical infrastructure modeling","year":2006,"lang":"en","type":"article","venue":"","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":"University of New Brunswick","funders":"","keywords":"Metamodeling; Unified Modeling Language; Computer science; Interdependence; Component (thermodynamics); Applications of UML; Software engineering; Sequence diagram; Systems engineering; Programming language; Engineering; Software","score_opus":0.08530702871415582,"score_gpt":0.44763463477921234,"score_spread":0.36232760606505654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985282888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060878135,0.000006892518,0.9157881,0.0006677238,0.00006351702,0.0003401434,0.000051133437,0.00019668949,0.02200767],"genre_scores_gemma":[0.7817837,2.227006e-7,0.2163442,0.0002022495,0.00013836884,0.000091896814,0.000032267886,0.000008129526,0.001399],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851847,0.000024590088,0.00042134552,0.00036136076,0.00048749146,0.00018676808],"domain_scores_gemma":[0.99854493,0.00029999446,0.00004267459,0.0004093336,0.0006236829,0.00007936167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004903839,0.00009022815,0.0001285954,0.00010712975,0.00019907868,0.00016911713,0.00030453276,0.00008863298,0.0006429414],"category_scores_gemma":[0.00079626526,0.000064070555,0.00007338385,0.00037921677,0.000044516175,0.00028406194,0.000045355784,0.00006314995,0.000031369567],"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":[0.0000077741515,0.00006780815,0.0006522796,0.000002252934,0.0000013850608,1.5108432e-7,0.000053063493,0.013360083,0.0009293817,0.91722006,0.030728988,0.03697677],"study_design_scores_gemma":[0.000080761354,0.000023851751,0.0006212462,0.0000010163399,0.0000024140925,8.2593596e-7,0.000116771174,0.6016281,0.0014909519,0.37856135,0.017425917,0.00004677983],"about_ca_topic_score_codex":0.00006142549,"about_ca_topic_score_gemma":0.000011827324,"teacher_disagreement_score":0.72090554,"about_ca_system_score_codex":0.000018577128,"about_ca_system_score_gemma":0.000047650625,"threshold_uncertainty_score":0.70397574},"labels":[],"label_agreement":null},{"id":"W1985524367","doi":"10.1109/ds-rt.2012.33","title":"Migration Delay Awareness in a Self-Adaptive Balancing Scheme for HLA-Based Simulations","year":2012,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Load balancing (electrical power); Computer science; Distributed computing; Scheme (mathematics); Adaptation (eye); Load management; Adaptive system; Engineering","score_opus":0.14335971963994812,"score_gpt":0.43679394762069124,"score_spread":0.29343422798074315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985524367","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":[0.3502959,0.000015347683,0.64787495,0.0004612314,0.00004686946,0.00053005037,0.000021294733,0.00012957864,0.0006247568],"genre_scores_gemma":[0.8623456,4.112683e-7,0.13691048,0.00025728907,0.000063523585,0.00018089559,0.000023636256,0.000009316027,0.0002088932],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851906,0.00005891674,0.00050885597,0.00026628815,0.00040330095,0.00024356919],"domain_scores_gemma":[0.9972577,0.0017923368,0.00014224871,0.0003599092,0.00036072847,0.00008704004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011313505,0.00010656583,0.00015800027,0.0002918036,0.00017908661,0.0000832738,0.0002211392,0.00008611694,0.00019964177],"category_scores_gemma":[0.00049218145,0.0000853533,0.000079376994,0.0009009127,0.000018067602,0.00046693304,0.000026513004,0.000059606933,0.000049969145],"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":[0.00005489663,0.00063373795,0.8424439,0.000007196924,0.00001339747,2.2184891e-7,0.0011533919,0.053167284,0.002580647,0.08480655,0.0046986127,0.010440209],"study_design_scores_gemma":[0.00038079688,0.00002405611,0.02908984,0.0000062879053,0.000005626267,3.5571853e-7,0.00021606703,0.94014865,0.004213789,0.008227833,0.017544616,0.000142101],"about_ca_topic_score_codex":0.00011596712,"about_ca_topic_score_gemma":0.00038223693,"teacher_disagreement_score":0.88698137,"about_ca_system_score_codex":0.00008433445,"about_ca_system_score_gemma":0.00009122042,"threshold_uncertainty_score":0.34806064},"labels":[],"label_agreement":null},{"id":"W1987102127","doi":"10.17722/ijme.v1i3.17","title":"Comparing Three Simulation Model Using Taxonomy: System Dynamic Simulation, Discrete Event Simulation and Agent Based Simulation","year":2013,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Discrete event simulation; Dynamic simulation; Simulation modeling; Simulation software; Context (archaeology); System dynamics; Event (particle physics); Software; Simulation; Artificial intelligence","score_opus":0.16715428746318373,"score_gpt":0.4135252441703874,"score_spread":0.24637095670720366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987102127","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":[0.2200963,0.000051718456,0.77807635,0.00025313476,0.00030087697,0.0008235621,0.000007734949,0.00005468879,0.00033560558],"genre_scores_gemma":[0.9761011,0.000007844042,0.02342415,0.00011227302,0.00013027387,0.00003432124,0.000011996951,0.000026061305,0.00015199551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951107,0.00014103355,0.0018485469,0.000498484,0.002156,0.0002452607],"domain_scores_gemma":[0.99423385,0.0014124333,0.0016987767,0.0004667455,0.0020279253,0.00016027545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015448211,0.0002804645,0.00038194217,0.00088381424,0.0002672417,0.00063985935,0.0009014341,0.000097874334,0.00013007935],"category_scores_gemma":[0.00029553953,0.00024697225,0.00020704645,0.00044061494,0.00007800845,0.0014857675,0.00025823846,0.00018449695,0.000042862175],"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":[0.000061508974,0.00006429613,0.005587835,0.00001868907,0.00006276716,0.0000043742934,0.000071866605,0.9746698,0.000056711255,0.0006132445,0.000024987832,0.018763902],"study_design_scores_gemma":[0.00076769304,0.000035870664,0.012276073,0.0001972876,0.00006334499,0.0000024700664,0.00024287248,0.97831076,0.000018039958,0.007058243,0.0007900917,0.00023726365],"about_ca_topic_score_codex":0.000031793013,"about_ca_topic_score_gemma":0.0000063479233,"teacher_disagreement_score":0.75600475,"about_ca_system_score_codex":0.0005131877,"about_ca_system_score_gemma":0.000054303706,"threshold_uncertainty_score":0.9999983},"labels":[],"label_agreement":null},{"id":"W1987438052","doi":"10.1109/icecs.2005.4633510","title":"Techniques to improve cosimulation and interoperability of heterogeneous models","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Université de Montréal","funders":"","keywords":"SystemC; Interoperability; Computer science; Embedded system; Code (set theory); MATLAB; Computer architecture; Software engineering; Programming language; Operating system","score_opus":0.09873094734888783,"score_gpt":0.4145327244259487,"score_spread":0.31580177707706086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987438052","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":[0.5582623,0.000011257578,0.43610966,0.0009968064,0.000009265703,0.00040591083,0.000009353888,0.000101179605,0.004094288],"genre_scores_gemma":[0.94848245,0.0000029375724,0.05057146,0.00043842703,0.000021196438,0.000034229313,8.000207e-7,0.0000048412426,0.00044366176],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988077,0.000033832443,0.0004793646,0.00029321187,0.00030424754,0.0000816163],"domain_scores_gemma":[0.9988719,0.00021523768,0.00008177033,0.00044586873,0.0003150349,0.000070194365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006728516,0.000070158654,0.00014350525,0.00012754557,0.000044139677,0.000053062355,0.00021149297,0.00004648203,0.00016232145],"category_scores_gemma":[0.00015380431,0.000050176535,0.00004084192,0.00024271112,0.000042833988,0.00022301725,0.00011582225,0.00003477407,0.000016953476],"study_design_candidate":"design_other","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":[0.000025742358,0.000089173365,0.0011979209,0.0000024348005,0.000003827319,5.6174088e-8,0.00039322072,0.01341771,0.026486551,0.013296282,0.0010498025,0.94403726],"study_design_scores_gemma":[0.0001227037,0.00016606356,0.00097218767,0.0000065474483,0.0000044978337,0.0000026685518,0.00007695515,0.42290178,0.46123138,0.0975605,0.016800242,0.00015447289],"about_ca_topic_score_codex":0.000032800854,"about_ca_topic_score_gemma":0.000024174991,"teacher_disagreement_score":0.9438828,"about_ca_system_score_codex":0.000022147757,"about_ca_system_score_gemma":0.000009291563,"threshold_uncertainty_score":0.20461397},"labels":[],"label_agreement":null},{"id":"W1989823508","doi":"10.1177/0037549711412237","title":"Multicore acceleration of Discrete Event System Specification systems","year":2011,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":20,"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; Multi-core processor; Computer science; Discrete event simulation; Parallel computing; Event (particle physics); IBM; Key (lock); Parallelism (grammar); Distributed computing; Modeling and simulation; Operating system; Simulation","score_opus":0.3630655237986391,"score_gpt":0.44519695621579536,"score_spread":0.08213143241715626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989823508","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":[0.20788613,0.000039793642,0.7816842,0.000029963081,0.00025583175,0.00084525143,0.000023456156,0.00016977824,0.009065568],"genre_scores_gemma":[0.99706584,0.0000020395694,0.0023630518,0.0000065887657,0.00008953517,0.000055519296,0.000031866926,0.000013503607,0.0003720461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975124,0.00014123626,0.0010741822,0.00035243022,0.00079316646,0.00012657043],"domain_scores_gemma":[0.99740535,0.00039409718,0.00068112253,0.0007172071,0.0007398935,0.00006235088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011266811,0.00011828036,0.00021930685,0.00025638196,0.00013135756,0.00007868874,0.00033224502,0.00009973242,0.00015264752],"category_scores_gemma":[0.0002915914,0.000095222094,0.00009729414,0.00062272185,0.000042990083,0.0004169238,0.00003976824,0.00006128713,0.00014738168],"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":[0.000112772424,0.0001932827,0.029351853,0.00005640085,0.000025852269,8.1121186e-7,0.0027616192,0.6587701,0.0056574773,0.2675098,0.00036683734,0.03519324],"study_design_scores_gemma":[0.00021890803,0.000041028237,0.06678502,0.00003116515,0.000014613997,9.462436e-7,0.00095739774,0.9228286,0.003877551,0.003480305,0.0016423375,0.00012209869],"about_ca_topic_score_codex":0.00008603197,"about_ca_topic_score_gemma":0.0000037079813,"teacher_disagreement_score":0.7891797,"about_ca_system_score_codex":0.0000793629,"about_ca_system_score_gemma":0.000024686886,"threshold_uncertainty_score":0.3883044},"labels":[],"label_agreement":null},{"id":"W1990610361","doi":"10.5555/1030818.1030905","title":"Hybrid dynamic systems: models for continous and hybrid system simulation","year":2003,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Computer science; Formalism (music); Hybrid system; Abstraction; Discrete event dynamic system; Discrete event simulation; Modeling and simulation; Continuous modelling; Systems modeling; Theoretical computer science; Discrete system; Distributed computing; Algorithm; Simulation; Mathematics; Software engineering","score_opus":0.12155442856321128,"score_gpt":0.3878929230139959,"score_spread":0.2663384944507846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990610361","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":[0.070125945,0.0000956162,0.92438227,0.00008909061,0.0002796339,0.0013729384,0.00012775425,0.00025350464,0.0032732745],"genre_scores_gemma":[0.9957786,0.0000030391484,0.002505996,0.00007620541,0.00004292382,0.00016255658,0.000035927857,0.000027741164,0.0013669978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970557,0.00021363291,0.0010518733,0.00075683196,0.00063200324,0.00028996752],"domain_scores_gemma":[0.99485725,0.0023844684,0.00047019141,0.0007068475,0.0014367278,0.00014449307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013438278,0.0002531693,0.00041714005,0.00027856545,0.0003093516,0.0006555424,0.00034992117,0.00008322173,0.00006167605],"category_scores_gemma":[0.0007928651,0.0002226216,0.00011979811,0.00022031461,0.0000814625,0.0006697642,0.00005379636,0.00010410533,0.00004916185],"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":[0.000026380054,0.000024123296,0.00021854602,0.00002388036,0.000011682508,8.1044936e-7,0.00012547353,0.9031199,0.00006641794,0.089427724,0.00011982552,0.006835234],"study_design_scores_gemma":[0.00056651735,0.000052442407,0.00016860061,0.000058103327,0.000021342636,0.000010401422,0.00030933638,0.9540332,0.00017189483,0.03353793,0.0108263185,0.00024392449],"about_ca_topic_score_codex":0.000012127886,"about_ca_topic_score_gemma":0.0000031402656,"teacher_disagreement_score":0.9256527,"about_ca_system_score_codex":0.000096925956,"about_ca_system_score_gemma":0.000071336326,"threshold_uncertainty_score":0.9078245},"labels":[],"label_agreement":null},{"id":"W1991847495","doi":"10.5555/2429759.2430287","title":"Lessons from a conceptual modeling exercise","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","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":"University of Ottawa","funders":"","keywords":"Conceptual model; Computer science; Focus (optics); Conceptual framework; Management science; Process (computing); Conceptual schema; Engineering; Sociology; Social science","score_opus":0.3908561887918083,"score_gpt":0.4730779907622519,"score_spread":0.0822218019704436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991847495","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":[0.19355735,0.000076357486,0.801032,0.00060002104,0.000199483,0.00021614747,0.00004025819,0.00015511356,0.004123254],"genre_scores_gemma":[0.9944874,0.000004464439,0.0041135554,0.0002595075,0.00020337114,0.000036167345,0.000030627958,0.000013319831,0.0008515965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979416,0.000086444445,0.00061727845,0.00039802815,0.00068475696,0.0002718596],"domain_scores_gemma":[0.9976132,0.0008030731,0.00017608167,0.0006847272,0.0005399821,0.00018293796],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006195092,0.00015614704,0.000235632,0.00014349172,0.0001632839,0.00023387154,0.0005349476,0.000106223255,0.003613078],"category_scores_gemma":[0.0004355276,0.000130617,0.00010610356,0.00034332942,0.000085776424,0.0008023991,0.00013861782,0.00013462157,0.0010096539],"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":[0.00008761787,0.00029034464,0.0340426,0.0000022993115,0.00002964746,7.6071086e-7,0.013073396,0.5868177,0.0013869907,0.12178529,0.0027249847,0.23975839],"study_design_scores_gemma":[0.00020447322,0.000007845386,0.0026529273,0.00002278081,0.000012256198,2.6653433e-7,0.00089911756,0.9504616,0.00045650263,0.032286096,0.01281858,0.00017754338],"about_ca_topic_score_codex":0.00006022967,"about_ca_topic_score_gemma":0.000008433833,"teacher_disagreement_score":0.80093,"about_ca_system_score_codex":0.000030418583,"about_ca_system_score_gemma":0.00004001684,"threshold_uncertainty_score":0.9997682},"labels":[],"label_agreement":null},{"id":"W1991859312","doi":"10.1016/j.eswa.2011.06.038","title":"Synergies of simulation, agents, and systems engineering","year":2011,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Systems engineering; Software engineering; Artificial intelligence; Engineering","score_opus":0.12389075420502203,"score_gpt":0.36375395203475835,"score_spread":0.2398631978297363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991859312","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":[0.014472231,0.0010454386,0.97844434,0.000055073015,0.00007441728,0.001505175,0.000030906253,0.00022465039,0.0041477615],"genre_scores_gemma":[0.99316514,0.000023097258,0.0046792976,0.000017381699,0.00007051968,0.0014517126,0.000006327318,0.000020441199,0.00056606886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981801,0.00004306735,0.00071600603,0.00038157374,0.0005263823,0.00015289844],"domain_scores_gemma":[0.9977476,0.0004999356,0.00033869644,0.00081297144,0.0004910472,0.00010977326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050173735,0.00014662968,0.00028171245,0.00023912948,0.00014825645,0.000100026395,0.00036886238,0.000074882104,0.000037651847],"category_scores_gemma":[0.00008903512,0.00010703799,0.000037802773,0.00072076044,0.00008306017,0.00020560104,0.000054511464,0.00005736381,0.000030006926],"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":[0.000036074587,0.00029100623,0.01939965,0.000109445944,0.000121175806,0.0000015503775,0.0055799885,0.35820282,0.002262264,0.60298574,0.0057785334,0.005231731],"study_design_scores_gemma":[0.00042091496,0.00009055735,0.012136836,0.000112800175,0.000026555477,0.000026002783,0.003937233,0.5373714,0.001071356,0.0012802171,0.44304967,0.00047642874],"about_ca_topic_score_codex":0.0002615074,"about_ca_topic_score_gemma":0.000002279531,"teacher_disagreement_score":0.97869295,"about_ca_system_score_codex":0.000022030712,"about_ca_system_score_gemma":0.000027069893,"threshold_uncertainty_score":0.43648824},"labels":[],"label_agreement":null},{"id":"W1992585169","doi":"10.5555/2512734.2512737","title":"Performance of distributed ns-3 network simulator","year":2013,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scalability; Network simulation; Network packet; Computer architecture simulator; Computer network; Memory footprint; Router; Distributed computing; Parallel computing; Operating system","score_opus":0.022248377860310076,"score_gpt":0.21868210763296675,"score_spread":0.19643372977265666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992585169","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":[0.9894891,0.000016783995,0.0038919093,0.0002424659,0.000033454537,0.00041472173,0.001260052,0.0001263859,0.0045251357],"genre_scores_gemma":[0.9925348,0.000043782955,0.0017820724,0.000026781807,0.000021706686,3.6061454e-8,0.00037936182,0.000012751224,0.0051986706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799794,0.000056389992,0.00042736542,0.00046942764,0.0007421207,0.00030675886],"domain_scores_gemma":[0.9972863,0.0004761932,0.00075483596,0.0007871718,0.00046043214,0.0002350517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011509518,0.00021442122,0.0005288987,0.00032526412,0.0002587316,0.000058174486,0.0017901225,0.00010633045,0.001862334],"category_scores_gemma":[0.00005186221,0.00024460538,0.0003206246,0.001855627,0.00060939614,0.0038140963,0.0007992935,0.00016496769,0.00034827745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008449399,0.00014647699,0.96304554,0.000019978666,0.00004145677,0.0000040543546,0.000023173276,0.008756312,1.9578098e-7,0.0002660729,0.013189472,0.014422793],"study_design_scores_gemma":[0.00045053067,0.00016328799,0.9421006,0.000028341636,0.000028714234,0.0000011241244,0.000057122965,0.010766743,0.000015567308,0.00047313955,0.045694105,0.00022071601],"about_ca_topic_score_codex":0.00015784736,"about_ca_topic_score_gemma":0.00008985581,"teacher_disagreement_score":0.032504633,"about_ca_system_score_codex":0.000027872738,"about_ca_system_score_gemma":0.00013352351,"threshold_uncertainty_score":0.9990501},"labels":[],"label_agreement":null},{"id":"W1996038254","doi":"10.1016/j.simpat.2008.10.004","title":"MDE and customization of modeling and simulation web applications","year":2008,"lang":"en","type":"article","venue":"Simulation Modelling Practice and Theory","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Personalization; Computer science; Web application; Software engineering; World Wide Web; Systems engineering; Engineering","score_opus":0.1358807884446645,"score_gpt":0.4145839355649381,"score_spread":0.2787031471202736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996038254","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":[0.14334334,0.00054283236,0.8543482,0.00015947677,0.000013286404,0.000408972,0.000008123566,0.000062389045,0.0011133971],"genre_scores_gemma":[0.9764095,0.0006742589,0.02251895,0.00012460335,0.000047077185,0.000027542525,0.000010957785,0.000016388043,0.00017075396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981186,0.00021964971,0.00065792166,0.0004324856,0.0004500919,0.00012125893],"domain_scores_gemma":[0.9934553,0.0050582723,0.0003991142,0.00034139724,0.00065726985,0.000088660454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019695333,0.00013791879,0.00021503134,0.00028060432,0.00047013466,0.000085711865,0.00010289235,0.000117748925,0.000021110345],"category_scores_gemma":[0.00086950656,0.00012584392,0.000034866065,0.0004297912,0.00015069588,0.0010106533,0.00006711623,0.00012504047,0.0000056724894],"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":[0.00006546085,0.00003323827,0.00032575053,0.000007176954,0.000008298746,1.6797136e-7,0.0006931019,0.9554715,0.000068469395,0.030301725,0.0000034237296,0.013021671],"study_design_scores_gemma":[0.00028603838,0.000019071174,0.000046194826,0.0000093677545,0.000036527257,0.0000058110195,0.00042305028,0.88920444,0.000031026902,0.10610743,0.0037137324,0.00011728484],"about_ca_topic_score_codex":0.000012751701,"about_ca_topic_score_gemma":8.2748755e-7,"teacher_disagreement_score":0.8330661,"about_ca_system_score_codex":0.000012218302,"about_ca_system_score_gemma":0.000041139472,"threshold_uncertainty_score":0.5131766},"labels":[],"label_agreement":null},{"id":"W1996266785","doi":"10.1111/j.1559-3584.2004.tb00304.x","title":"Multi‐Agent Simulation of Human Behavior in Naval Air Defense","year":2004,"lang":"en","type":"article","venue":"Naval Engineers Journal","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":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"U.S. Navy","keywords":"Navy; Aeronautics; Battle; Engineering; Task (project management); Air combat; Operations research; Doctrine; Simulation; Training (meteorology); Computer security; Computer science; Systems engineering; Meteorology; Law","score_opus":0.11008953714454674,"score_gpt":0.4300011315885448,"score_spread":0.3199115944439981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996266785","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":[0.8236722,0.000053407213,0.17567171,0.000115430565,0.00011415134,0.00019389275,0.000007197266,0.00003564697,0.00013640898],"genre_scores_gemma":[0.989819,0.0000055578994,0.009945595,0.00003806998,0.00006143657,0.000010646075,0.000002722474,0.000012798459,0.000104203034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9979083,0.000047748046,0.0008399766,0.00019346336,0.00082384644,0.00018664854],"domain_scores_gemma":[0.99883825,0.00019935844,0.0002503104,0.00026273733,0.00032603444,0.00012334133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011924772,0.0001159851,0.00021148981,0.00050657085,0.00011718205,0.000053221243,0.000344955,0.00009835825,0.00012705443],"category_scores_gemma":[0.0004210203,0.00009824018,0.00015975941,0.0006429264,0.000045246856,0.00022858434,0.000032965258,0.00029914957,0.000028490344],"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":[0.000010041074,0.00017383193,0.0045032604,0.0000012957219,0.0000038770013,0.000011161151,0.00038734425,0.9827141,0.007351103,0.0006529972,0.000060577066,0.004130373],"study_design_scores_gemma":[0.009173144,0.0007714026,0.5719869,0.0001739778,0.000099200115,0.00023621588,0.0020015745,0.35207993,0.029755464,0.027344203,0.0053535053,0.0010244715],"about_ca_topic_score_codex":0.000026588004,"about_ca_topic_score_gemma":0.000011890194,"teacher_disagreement_score":0.6306342,"about_ca_system_score_codex":0.0001448538,"about_ca_system_score_gemma":0.000064958986,"threshold_uncertainty_score":0.40061185},"labels":[],"label_agreement":null},{"id":"W1999327540","doi":"10.1142/s1793962310000079","title":"SIMULATION AND REALITY: THE BIG PICTURE","year":2010,"lang":"en","type":"article","venue":"Advances in Complex Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":31,"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 Ottawa","funders":"Division of Civil, Mechanical and Manufacturing Innovation","keywords":"Implementation; Trustworthiness; Computer science; Perspective (graphical); Big data; Perception; Core (optical fiber); Sociology; Epistemology; Artificial intelligence; Telecommunications; Philosophy; Software engineering; Internet privacy","score_opus":0.19642169443058416,"score_gpt":0.4742681287221803,"score_spread":0.27784643429159617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999327540","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":[0.4252108,0.0026529375,0.5228523,0.0054368856,0.0024337608,0.0027866857,0.00008348625,0.0003818471,0.038161308],"genre_scores_gemma":[0.9987882,0.000015117921,0.000552944,0.00012553981,0.00019925155,0.000048501446,0.0000043556715,0.0000055163177,0.0002606112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862504,0.000105211795,0.000448361,0.00027517782,0.0004303659,0.00011584583],"domain_scores_gemma":[0.996685,0.0023656427,0.00017607612,0.000589691,0.00014606977,0.00003746981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012219144,0.000082090766,0.00015261461,0.000090815825,0.00018026932,0.0001847484,0.00037736294,0.000056206165,0.000040276012],"category_scores_gemma":[0.0006614472,0.000047591002,0.000025925827,0.000493422,0.000119936856,0.00021371285,0.000064214284,0.00016044764,0.000017797618],"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":[0.000015361777,0.000043888485,0.05179389,0.000015487174,0.000004299161,0.0000012031695,0.00079644757,0.39293033,0.0012868821,0.24309841,0.0014125471,0.30860126],"study_design_scores_gemma":[0.00008465546,0.0000075421494,0.017080175,0.000004517613,0.0000012283093,0.000002711275,0.00029641893,0.30446747,0.000010732592,0.056516554,0.6214663,0.000061742714],"about_ca_topic_score_codex":0.00006121212,"about_ca_topic_score_gemma":0.00036650582,"teacher_disagreement_score":0.6200537,"about_ca_system_score_codex":0.000009232435,"about_ca_system_score_gemma":0.000011354402,"threshold_uncertainty_score":0.19407047},"labels":[],"label_agreement":null},{"id":"W2000617091","doi":"10.5555/1400549.1400616","title":"Parallel simulation of DEVS and Cell-DEVS models on Windows-based PC cluster systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Computer science; DEVS; Software portability; Modular design; Middleware (distributed applications); Discrete event simulation; Operating system; Interface (matter); Distributed computing; Graphical user interface; Modeling and simulation; Simulation","score_opus":0.18094936777013218,"score_gpt":0.384438829131081,"score_spread":0.20348946136094884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000617091","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":[0.19338258,0.00003240999,0.79025596,0.00020495123,0.000030215284,0.0005018048,0.000009816402,0.00007721403,0.015505036],"genre_scores_gemma":[0.99186265,0.0000053917047,0.0050405236,0.00029032162,0.000022318505,0.000030103181,0.000005251516,0.000008678204,0.0027347754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998224,0.00006804788,0.00058504177,0.00030738272,0.0006963424,0.00011918071],"domain_scores_gemma":[0.997675,0.0012554472,0.00021645191,0.00047069028,0.00030794926,0.00007444097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004972068,0.000108797554,0.00020838974,0.00019310082,0.00014367825,0.000052671225,0.00021568182,0.00008956109,0.00008460663],"category_scores_gemma":[0.000093904404,0.00007737231,0.00006119699,0.00034131602,0.00007248793,0.0002021625,0.00003392118,0.0000583979,0.00004863814],"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":[0.000027852751,0.00004692691,0.0008421355,0.0000033202025,0.0000015582905,2.562899e-7,0.00009476322,0.9923927,0.000068770256,0.0043675494,0.0015050864,0.0006490637],"study_design_scores_gemma":[0.00049053,0.000058131584,0.0009855228,0.000007735694,0.0000034927264,9.2968224e-7,0.00007884466,0.98998785,0.0010352614,0.004912964,0.0023422334,0.00009649475],"about_ca_topic_score_codex":0.00006179268,"about_ca_topic_score_gemma":0.0000028453046,"teacher_disagreement_score":0.79848003,"about_ca_system_score_codex":0.000016833228,"about_ca_system_score_gemma":0.000038388254,"threshold_uncertainty_score":0.31551513},"labels":[],"label_agreement":null},{"id":"W2001821401","doi":"10.1177/0037549711436267","title":"Graphical modeling and simulation of discrete-event systems with CD++Builder","year":2012,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"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; Computer science; Extensibility; Reuse; Graphical user interface; Discrete event simulation; Event (particle physics); Programming language; Process (computing); Software; Graphical model; Source code; Software engineering; Distributed computing; Modeling and simulation; Simulation; Engineering; Artificial intelligence","score_opus":0.0994992899857938,"score_gpt":0.42562119085780425,"score_spread":0.32612190087201043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001821401","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":[0.42871237,0.00008943545,0.57060117,0.000053303404,0.000036632733,0.00026823778,0.0000052857827,0.00003840319,0.00019513248],"genre_scores_gemma":[0.998342,0.0000031638008,0.0014207305,0.000019375231,0.00009060498,0.000019469519,0.00001218347,0.000013506008,0.000079012105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980906,0.00009823933,0.0005989851,0.00025862214,0.00077642506,0.00017707984],"domain_scores_gemma":[0.9980236,0.0008543929,0.00025957913,0.0003766187,0.00037954908,0.000106218446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010847962,0.00011962254,0.00020937252,0.00022489094,0.00013384297,0.000077611236,0.00012735763,0.00009423,0.000031374482],"category_scores_gemma":[0.0002616551,0.000084291016,0.000051748335,0.00056664314,0.00005787469,0.0005652045,0.000043741722,0.000078004494,0.000007852934],"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":[0.000023113102,0.000031433454,0.027534772,0.000005037245,0.0000057307147,3.915927e-8,0.00021051327,0.9641134,0.00008987027,0.0054736463,0.0000062178374,0.002506212],"study_design_scores_gemma":[0.00022975572,0.0000367035,0.012496961,0.000019788453,0.000017642198,8.520681e-7,0.00017998453,0.98064065,0.00004224918,0.00563509,0.0005899727,0.00011036429],"about_ca_topic_score_codex":0.000028528792,"about_ca_topic_score_gemma":0.0000029288371,"teacher_disagreement_score":0.56962955,"about_ca_system_score_codex":0.00002045521,"about_ca_system_score_gemma":0.0000141595665,"threshold_uncertainty_score":0.34372878},"labels":[],"label_agreement":null},{"id":"W2002802257","doi":"10.5555/987679.987695","title":"Scalability and performance evaluation of an aggregation/disaggregation scheme for data distribution management in large-scale distributed interactive systems","year":2004,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Ottawa","funders":"","keywords":"Scalability; Computer science; Interoperability; Distributed computing; High-level architecture; Consistency (knowledge bases); Reuse; Implementation; Scheme (mathematics); Scale (ratio); Distributed Interactive Simulation; Database; Software engineering; Operating system; Engineering","score_opus":0.08681591812207821,"score_gpt":0.4237939438268088,"score_spread":0.33697802570473057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002802257","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":[0.6880779,0.000025398085,0.30815756,0.00021592976,0.00007660714,0.0016688423,0.0016690912,0.00004062567,0.000068014066],"genre_scores_gemma":[0.99259746,0.000010350652,0.002486731,0.000015190268,0.00004531744,0.00021154847,0.0046025245,0.0000105970685,0.00002030347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967376,0.0002192053,0.0010114075,0.0007058114,0.0011253698,0.00020063235],"domain_scores_gemma":[0.9962114,0.00047336015,0.0005310106,0.000947507,0.0017589917,0.00007774838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051815896,0.0001572591,0.00025239415,0.00019567127,0.0002001517,0.00013850299,0.0004216687,0.00011490433,0.000012810426],"category_scores_gemma":[0.0005963437,0.00014519272,0.00004061258,0.0008575457,0.000074416785,0.002211788,0.0001673899,0.00008314885,0.0000051773663],"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":[0.00022091497,0.00045804676,0.025658846,0.000035576595,0.00002007402,1.16956514e-7,0.0010038724,0.9140385,0.000115597206,0.0032386167,0.0000471627,0.055162694],"study_design_scores_gemma":[0.0017184522,0.00009213635,0.10761236,0.000054004053,0.000036577534,6.963528e-7,0.0012648364,0.88201296,0.00047337054,0.0056126867,0.000982888,0.00013902903],"about_ca_topic_score_codex":0.0000556114,"about_ca_topic_score_gemma":0.000050676128,"teacher_disagreement_score":0.30567083,"about_ca_system_score_codex":0.00027186732,"about_ca_system_score_gemma":0.000065991415,"threshold_uncertainty_score":0.59207875},"labels":[],"label_agreement":null},{"id":"W2003669765","doi":"10.1177/1548512910367632","title":"Integrating Base Object Model Components into DEVS-based Simulation","year":2010,"lang":"en","type":"article","venue":"The Journal of Defense Modeling and Simulation Applications Methodology Technology","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"DEVS; Composability; Computer science; Interoperability; Usability; High-level architecture; Distributed computing; Formalism (music); Rotation formalisms in three dimensions; Component (thermodynamics); Discrete event simulation; Modeling and simulation; Theoretical computer science; Simulation; Human–computer interaction; Operating system; Mathematics","score_opus":0.2596793210728151,"score_gpt":0.47039248881168894,"score_spread":0.21071316773887383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003669765","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3238675,0.00007806414,0.6733305,0.002126186,0.00007420263,0.00035133047,0.000004118837,0.00010017409,0.00006795064],"genre_scores_gemma":[0.64829254,0.000008838538,0.3513209,0.00023241028,0.000069044676,0.000033717613,0.0000042503593,0.00001730588,0.000020970088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99645185,0.00064225186,0.0016702893,0.00038914927,0.0005957992,0.0002506579],"domain_scores_gemma":[0.9868897,0.008841813,0.0011948803,0.0010318649,0.0019240131,0.00011769463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009184831,0.00024196702,0.0005099161,0.0012607998,0.0007692298,0.000086548665,0.0009416333,0.00043824903,0.000027864971],"category_scores_gemma":[0.0052165124,0.00016635617,0.00015054307,0.0013944054,0.00039887067,0.00022337033,0.00014329024,0.001015299,0.000013146348],"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":[0.000065098066,0.000051132643,0.00043998717,0.0000027528497,0.0000141122,2.625994e-7,0.00025481638,0.9206379,0.016371556,0.016091375,0.00001161817,0.04605941],"study_design_scores_gemma":[0.000324525,0.000043069933,0.00003242809,0.0000067636465,0.00005405424,0.000021757562,0.00029542204,0.71527046,0.0007333783,0.28208047,0.0010228346,0.00011484932],"about_ca_topic_score_codex":0.00001623693,"about_ca_topic_score_gemma":0.0000248654,"teacher_disagreement_score":0.32442507,"about_ca_system_score_codex":0.00004174524,"about_ca_system_score_gemma":0.00014227226,"threshold_uncertainty_score":0.6783808},"labels":[],"label_agreement":null},{"id":"W2005145553","doi":"10.4236/am.2012.330179","title":"Modelling to Generate Alternatives Using Simulation-Driven Optimization: An Application to Waste Management Facility Expansion Planning","year":2012,"lang":"en","type":"article","venue":"Applied Mathematics","topic":"Simulation Techniques and Applications","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":"York University","funders":"","keywords":"Mathematical optimization; Computer science; Optimization problem; Stochastic optimization; Operations research; Engineering; Mathematics","score_opus":0.2311752481080315,"score_gpt":0.4332078078381765,"score_spread":0.20203255973014497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005145553","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20432645,0.000006009554,0.7929655,0.00004660828,0.000040449795,0.0012063509,0.000016372429,0.00013240884,0.0012598956],"genre_scores_gemma":[0.53008693,8.6320676e-7,0.46947974,0.000119597804,0.00007761601,0.00015000752,0.000018171551,0.000014696195,0.0000523418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974098,0.00003505621,0.0008124056,0.0005216516,0.00089047174,0.0003305835],"domain_scores_gemma":[0.9979207,0.00028709072,0.00027693465,0.00096008333,0.00024704865,0.00030814245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011206015,0.00022156994,0.0002752808,0.00032636806,0.00035174892,0.00020441314,0.00052695454,0.00007694999,0.000063986714],"category_scores_gemma":[0.000046735193,0.00020000205,0.000052577838,0.0009102087,0.000022316344,0.00039196564,0.00021901765,0.000078123594,0.00019061062],"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":[0.0000083896375,0.00012431224,0.000055672925,0.000010038782,0.000008329653,1.0741007e-7,0.003104277,0.97574085,0.0013615536,0.014112863,0.00004026041,0.0054333336],"study_design_scores_gemma":[0.00011046542,0.000013237105,0.000014087427,0.00001540348,0.000018541332,5.832141e-7,0.001748706,0.98695,0.0023493508,0.0076849805,0.00085904583,0.00023563948],"about_ca_topic_score_codex":0.000005868619,"about_ca_topic_score_gemma":3.5013235e-7,"teacher_disagreement_score":0.3257605,"about_ca_system_score_codex":0.00009225925,"about_ca_system_score_gemma":0.000012660773,"threshold_uncertainty_score":0.8155847},"labels":[],"label_agreement":null},{"id":"W2009237393","doi":"","title":"A Unified Distributed Simulation System","year":2012,"lang":"en","type":"article","venue":"NCSU Libraries Repository (North Carolina State University Libraries)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":17,"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":"Computer science; Flexibility (engineering); Distributed computing; Process (computing); Reflection (computer programming); Object (grammar); Distributed algorithm; Programming language; Artificial intelligence","score_opus":0.04089332300495516,"score_gpt":0.27232954976581547,"score_spread":0.23143622676086031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009237393","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":[0.55949414,0.00038251243,0.39748695,0.0003727322,0.0010399849,0.0011214645,0.00088388246,0.0023129373,0.036905408],"genre_scores_gemma":[0.9881674,0.0000072979665,0.0028593172,0.00008684805,0.00025750688,0.0000050402973,0.00027395034,0.00003611985,0.008306505],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99622095,0.00045790503,0.000839708,0.0006842361,0.0011423187,0.0006548898],"domain_scores_gemma":[0.9957167,0.0013759352,0.00062892924,0.0012846353,0.00042799488,0.00056579424],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004160138,0.00036452615,0.00049938686,0.00047793746,0.0013588174,0.0007021381,0.0012027181,0.00022143735,0.00011498448],"category_scores_gemma":[0.00021893466,0.00035247178,0.00025723272,0.0021964398,0.0003847216,0.0060931747,0.00058528234,0.00031629996,0.00012227565],"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":[0.00063076575,0.0002869022,0.6988461,0.000060006594,0.00014305118,0.000093894814,0.0040643425,0.03362175,0.00008182524,0.24125287,0.015333381,0.005585121],"study_design_scores_gemma":[0.00089443836,0.000093706316,0.22377211,0.000027707822,0.000096459466,0.000027286866,0.0031371217,0.046992946,0.0014496553,0.0036392426,0.7190934,0.0007759631],"about_ca_topic_score_codex":0.00009047778,"about_ca_topic_score_gemma":0.0000055509227,"teacher_disagreement_score":0.70375997,"about_ca_system_score_codex":0.0001822334,"about_ca_system_score_gemma":0.00032710595,"threshold_uncertainty_score":0.9999413},"labels":[],"label_agreement":null},{"id":"W2009380628","doi":"10.1097/sih.0b013e31821d5331","title":"A Multifunctional Online Research Portal for Facilitation of Simulation-Based Research","year":2011,"lang":"en","type":"article","venue":"Simulation in Healthcare The Journal of the Society for Simulation in Healthcare","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; Vancouver General Hospital","funders":"Laerdal Foundation for Acute Medicine; Philadelphia Foundation","keywords":"Facilitation; Computer science; Psychology; Neuroscience","score_opus":0.6453091226737266,"score_gpt":0.5935581547640075,"score_spread":0.051750967909719114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009380628","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":[0.66213214,0.00085029064,0.29081777,0.033632092,0.0010982426,0.010530271,0.00084694213,0.000054643944,0.000037598707],"genre_scores_gemma":[0.9914908,0.000020221003,0.0073846593,0.00045599055,0.00027190216,0.00017162121,0.000057177556,0.000043034506,0.000104597835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98888,0.002506573,0.003888875,0.00053595385,0.003468988,0.0007196207],"domain_scores_gemma":[0.9232279,0.05783495,0.002002928,0.0010913694,0.015643248,0.00019962082],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03284407,0.0002616295,0.0006150149,0.0010981514,0.0011515666,0.000063213076,0.0012645907,0.00045692758,0.00006341663],"category_scores_gemma":[0.016161151,0.00017955371,0.0009528374,0.004365858,0.00049119035,0.00052178913,0.00012103842,0.0013019011,0.0000024556898],"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":[0.0009870239,0.0002531104,0.033039745,0.00015264137,0.000019314926,1.4329287e-7,0.004934563,0.95189196,0.000025256566,0.0032679974,0.00021702328,0.005211202],"study_design_scores_gemma":[0.001571386,0.0004776952,0.04789413,0.00018558365,0.000014499408,6.8978807e-7,0.00454306,0.82713467,0.000061570056,0.11669069,0.0012908322,0.00013517131],"about_ca_topic_score_codex":0.0011554697,"about_ca_topic_score_gemma":0.0008591907,"teacher_disagreement_score":0.32935864,"about_ca_system_score_codex":0.0006629561,"about_ca_system_score_gemma":0.0013454615,"threshold_uncertainty_score":0.99589056},"labels":[],"label_agreement":null},{"id":"W2013131777","doi":"10.1145/1030453.1030529","title":"Methods for special applications: Cell-DEVS quantization techniques in a fire spreading application","year":2002,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Correctness; Computer science; Quantization (signal processing); Formalism (music); Execution time; Modeling and simulation; Distributed computing; Theoretical computer science; Computer engineering; Parallel computing; Computational science; Simulation; Programming language; Algorithm","score_opus":0.06364020689452755,"score_gpt":0.38431091682641294,"score_spread":0.3206707099318854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013131777","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":[0.001560642,0.00068154844,0.95133245,0.004376342,0.00011680535,0.0043396987,0.00014487431,0.00053069956,0.03691691],"genre_scores_gemma":[0.24233423,0.00064396334,0.74094653,0.00014882741,0.00026435798,0.006454908,0.00076873257,0.000102499565,0.008335976],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99035704,0.0043102717,0.002031586,0.0019159812,0.0008838554,0.0005012872],"domain_scores_gemma":[0.9823118,0.007872433,0.0017034194,0.0037458928,0.0041597867,0.00020670482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.017850049,0.0005327664,0.0007716349,0.0008362653,0.0005782376,0.00093376666,0.002800227,0.0007287595,0.0002677449],"category_scores_gemma":[0.003909484,0.0005623624,0.00042843792,0.001985882,0.0002424212,0.00033456073,0.0010765162,0.00072485115,0.0000916766],"study_design_candidate":"design_other","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":[0.0000104168175,0.00062334514,0.0008729838,0.00010729913,0.000015246681,2.7190373e-7,0.0021018512,0.00030761625,0.0035088593,0.10821441,0.003152318,0.8810854],"study_design_scores_gemma":[0.0004921926,0.0000011443918,0.00071936974,0.00045693823,0.000045290857,0.0000032324658,0.00021255713,0.25185233,0.12861222,0.21080667,0.40600187,0.0007961964],"about_ca_topic_score_codex":0.00040365916,"about_ca_topic_score_gemma":0.00033064318,"teacher_disagreement_score":0.8802892,"about_ca_system_score_codex":0.00032218717,"about_ca_system_score_gemma":0.0002317758,"threshold_uncertainty_score":0.9996828},"labels":[],"label_agreement":null},{"id":"W2014167632","doi":"10.1007/s10985-013-9271-7","title":"A dynamic Mover–Stayer model for recurrent event processes subject to resolution","year":2013,"lang":"en","type":"article","venue":"Lifetime Data Analysis","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Event (particle physics); Subject (documents); Econometrics; Artificial intelligence; Mathematics","score_opus":0.12699012101172344,"score_gpt":0.4438864812925644,"score_spread":0.316896360280841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014167632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009402852,0.00008101039,0.9848464,0.0026235878,0.00001938294,0.000851357,0.0018893181,0.00008703047,0.0001990387],"genre_scores_gemma":[0.91622746,0.000024370005,0.077076584,0.00042505143,0.000031173116,0.0005397066,0.0019857984,0.000013698908,0.0036761703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973236,0.000054917626,0.00069865055,0.0008838979,0.00079216465,0.0002468117],"domain_scores_gemma":[0.9960688,0.00055649196,0.00023784535,0.002233512,0.0007421723,0.00016121227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012476196,0.00014545982,0.00031957868,0.00060395536,0.00019865237,0.00032784673,0.0015345312,0.000064482556,0.00052758807],"category_scores_gemma":[0.0020630625,0.000113233014,0.00016298135,0.0036063457,0.000025566733,0.00058551424,0.0003958811,0.000061028582,0.0004842248],"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":[0.00009751368,0.00041571495,0.0021492294,0.000026059353,0.0004947132,2.4572134e-7,0.0004925634,0.5793821,0.00037402037,0.00103926,0.3006988,0.11482978],"study_design_scores_gemma":[0.00008124521,0.000029544139,0.0012588085,0.0000051553498,0.00024077501,1.5355529e-7,0.00006156645,0.9670168,0.00003585336,0.011198699,0.019922819,0.00014855675],"about_ca_topic_score_codex":0.0001681128,"about_ca_topic_score_gemma":0.00051127636,"teacher_disagreement_score":0.90776986,"about_ca_system_score_codex":0.000056848494,"about_ca_system_score_gemma":0.00009312367,"threshold_uncertainty_score":0.62238914},"labels":[],"label_agreement":null},{"id":"W2015861674","doi":"10.1142/s0129626407003010","title":"PARALLEL ALGORITHMS FOR CELLULAR MODELS SIMULATION","year":2007,"lang":"en","type":"article","venue":"Parallel Processing Letters","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Rollback; Parallel computing; Formalism (music); Execution time; Kernel (algebra); Discrete event simulation; Modeling and simulation; Distributed computing; Algorithm; Theoretical computer science; Simulation; Programming language; Database transaction; Mathematics","score_opus":0.18879982265575052,"score_gpt":0.42725958051064244,"score_spread":0.23845975785489193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015861674","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014398925,0.00018112385,0.98060024,0.0028921573,0.00008277515,0.0006348501,0.0000069465095,0.0002388147,0.00096414273],"genre_scores_gemma":[0.7617294,0.0000015563769,0.23557435,0.0017034825,0.000200805,0.00007911649,0.000020413006,0.000025620377,0.00066521973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972031,0.000035250945,0.0008355483,0.000622594,0.000864431,0.00043905896],"domain_scores_gemma":[0.9976616,0.0009750603,0.00036595436,0.00047635924,0.0003878572,0.00013320481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002391342,0.00020119149,0.0002536857,0.00028074463,0.0004498257,0.0003410467,0.0005834405,0.00011458444,0.00003983369],"category_scores_gemma":[0.00025944214,0.00017112456,0.00015972229,0.0006394391,0.00009585654,0.0006447278,0.00005197002,0.00012587135,0.00005774789],"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":[0.000055588513,0.000050849278,0.00022284234,0.000010927906,0.0000065188387,0.000001617744,0.00040071202,0.88079077,0.0030836249,0.0028730487,0.003199143,0.10930436],"study_design_scores_gemma":[0.00045675173,0.000018733026,0.00029729313,0.000011616894,0.000011536926,0.0000010904067,0.00010191966,0.8969196,0.00055141526,0.07439288,0.026996117,0.00024101367],"about_ca_topic_score_codex":0.000009487858,"about_ca_topic_score_gemma":0.0000022687777,"teacher_disagreement_score":0.74733055,"about_ca_system_score_codex":0.00005680024,"about_ca_system_score_gemma":0.00003727248,"threshold_uncertainty_score":0.69782573},"labels":[],"label_agreement":null},{"id":"W2016378465","doi":"10.1177/0037549708101182","title":"Tools for Graphical Specification and Visualization of DEVS Models","year":2009,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":25,"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":"Computer science; DEVS; Visualization; Modular design; Software engineering; Software; Construct (python library); Discrete event simulation; Process (computing); Animation; Variety (cybernetics); Human–computer interaction; Modeling and simulation; Programming language; Data mining; Simulation; Computer graphics (images); Artificial intelligence","score_opus":0.2973143682516925,"score_gpt":0.4897370491699047,"score_spread":0.19242268091821219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016378465","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":[0.13589351,0.000025158442,0.86214304,0.00035961307,0.000019670144,0.0004971824,0.0000108496515,0.000052524512,0.0009984253],"genre_scores_gemma":[0.99226135,0.000009616884,0.0074501596,0.00009669455,0.00004368917,0.000016476182,0.00004545888,0.0000053830067,0.00007115445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869615,0.00003746851,0.00053652236,0.00025502464,0.0003911457,0.00008370727],"domain_scores_gemma":[0.9978096,0.0010939297,0.00024193725,0.00027207387,0.0005423801,0.000040093248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007223263,0.00007176014,0.00013877028,0.00021481443,0.00010078694,0.000110461144,0.00012635915,0.00008017225,0.000022196788],"category_scores_gemma":[0.00076165795,0.000062355386,0.00005592404,0.00054643163,0.000033809814,0.0006534842,0.000010902227,0.000026155074,0.0000027790402],"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":[0.000042256648,0.000054340257,0.0006783957,0.000002660008,0.0000022258494,1.7058346e-8,0.00018456603,0.20792381,0.0024423988,0.56494254,0.0001470959,0.2235797],"study_design_scores_gemma":[0.00015775641,0.00004613303,0.017647196,0.0000032247208,0.0000044559033,1.299226e-7,0.000028037055,0.57226425,0.0010376509,0.4070461,0.0017174298,0.00004761936],"about_ca_topic_score_codex":0.0000015310678,"about_ca_topic_score_gemma":9.031634e-7,"teacher_disagreement_score":0.8563678,"about_ca_system_score_codex":0.000012591449,"about_ca_system_score_gemma":0.000013681755,"threshold_uncertainty_score":0.25427788},"labels":[],"label_agreement":null},{"id":"W2017148350","doi":"10.1109/iscc.2010.5546621","title":"Distributed dynamic balancing of communication load for large-scale HLA-based simulations","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Distributed computing; Computer science; High-level architecture; Load balancing (electrical power); Computation; Scheme (mathematics); Overhead (engineering); Telecommunications network; Fault tolerance; Communications system; Computer network; Algorithm","score_opus":0.04195645209577103,"score_gpt":0.4051487239832458,"score_spread":0.36319227188747477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017148350","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":[0.15584287,0.000006725788,0.8408966,0.0012950246,0.00003953828,0.00045164817,0.00054253434,0.000100761295,0.0008242667],"genre_scores_gemma":[0.9352707,5.819334e-7,0.06392161,0.00011217672,0.000009261063,0.000053498658,0.00024917457,0.000008104329,0.0003748855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985559,0.000038576214,0.0005808589,0.00023062223,0.00045162364,0.00014243941],"domain_scores_gemma":[0.99548113,0.0021230576,0.00025821733,0.0010815858,0.0009980506,0.00005796226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012201234,0.000082690654,0.00016862796,0.00011039293,0.00027232154,0.00006609845,0.00055944535,0.000092275426,0.0005598426],"category_scores_gemma":[0.001194316,0.00006707118,0.000110716894,0.0006003849,0.00006277625,0.00014089428,0.000059605278,0.00010690256,0.000019469435],"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":[0.00020015708,0.0024948602,0.11391518,0.000046299367,0.000060190636,2.2915535e-7,0.0013237045,0.22822852,0.25020367,0.30381137,0.04170803,0.058007766],"study_design_scores_gemma":[0.00041690434,0.000016670943,0.012255789,0.000004500889,0.000008311793,1.7797714e-7,0.00012043541,0.90910864,0.0071787448,0.035624262,0.03517681,0.000088737535],"about_ca_topic_score_codex":0.00002715413,"about_ca_topic_score_gemma":0.0009025479,"teacher_disagreement_score":0.7794278,"about_ca_system_score_codex":0.000029279256,"about_ca_system_score_gemma":0.0000924747,"threshold_uncertainty_score":0.6129884},"labels":[],"label_agreement":null},{"id":"W2018291626","doi":"10.1109/dasc.2011.6096086","title":"Using formal methods to verify safe deep stall landing of a MAV","year":2011,"lang":"en","type":"article","venue":"2011 IEEE/AIAA 30th Digital Avionics Systems Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Flight envelope; Stall (fluid mechanics); Reachability; Angle of attack; Aerodynamics; Thrust; Computer science; Aerospace engineering; Control theory (sociology); Pitching moment; Aircraft flight mechanics; Simulation; Engineering; Artificial intelligence; Algorithm","score_opus":0.44924272425451695,"score_gpt":0.4658820483728557,"score_spread":0.01663932411833874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018291626","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":[0.115807034,0.00006452443,0.8513634,0.00001932766,0.00041969543,0.0006322052,0.000114321054,0.000096495045,0.031482965],"genre_scores_gemma":[0.9515153,0.0000049257746,0.04710667,0.000030490355,0.00004835469,0.0000539655,0.000008249459,0.000023655697,0.0012083708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99671966,0.0001425667,0.0012733127,0.0005760394,0.00084086496,0.00044756092],"domain_scores_gemma":[0.9967276,0.0004246404,0.0006086998,0.00095192017,0.0010088645,0.00027827534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017634684,0.00025732146,0.0005387814,0.00035796667,0.00018995864,0.000520375,0.0010292494,0.00017370397,0.00034485603],"category_scores_gemma":[0.0003580791,0.00020985605,0.00016324726,0.0006009761,0.00010897251,0.0013024196,0.00028132694,0.00016525839,0.00036034535],"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":[0.000413028,0.0009180175,0.0367133,0.00022845592,0.00020706512,0.000025904303,0.01163092,0.004714551,0.047100753,0.6337167,0.0029029208,0.2614284],"study_design_scores_gemma":[0.0023671342,0.0014288648,0.019352049,0.0010101005,0.00019408953,0.00027101982,0.010241664,0.6649093,0.062043797,0.14560883,0.08889889,0.0036742552],"about_ca_topic_score_codex":0.00024330457,"about_ca_topic_score_gemma":0.000015716716,"teacher_disagreement_score":0.83570826,"about_ca_system_score_codex":0.000078082245,"about_ca_system_score_gemma":0.00016798009,"threshold_uncertainty_score":0.85576814},"labels":[],"label_agreement":null},{"id":"W2019334623","doi":"10.1145/1878537.1878728","title":"Integrating building information modeling &amp; cell-DEVS simulation","year":2010,"lang":"en","type":"article","venue":"","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":"DEVS; Modular design; Computer science; Discrete event simulation; Building information modeling; Software; Variety (cybernetics); Systems engineering; Software engineering; Modeling and simulation; Simulation; Operating system; Engineering","score_opus":0.11460545875191235,"score_gpt":0.4418716866130397,"score_spread":0.32726622786112736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019334623","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":[0.27863193,0.000001093991,0.6954991,0.0001875068,0.00009479532,0.00015308373,0.0000023368927,0.00017816624,0.025251968],"genre_scores_gemma":[0.83660007,4.5255686e-7,0.16257742,0.00021551093,0.000060978506,0.000015730437,0.000012416336,0.00000519408,0.0005122406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982721,0.000024298713,0.0007179643,0.00019816951,0.00064109906,0.00014633153],"domain_scores_gemma":[0.997961,0.00064693025,0.00020415237,0.0004969566,0.0006172353,0.00007374705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013674103,0.000101194004,0.00011292225,0.0002806326,0.00027802412,0.00049857725,0.0003830502,0.00010397275,0.000784274],"category_scores_gemma":[0.0015811361,0.000075425334,0.00007077559,0.00062481203,0.000019933244,0.0014729885,0.00007836191,0.00023262967,0.00052120903],"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":[0.0000039846313,0.000018096884,0.0008825127,0.0000017023144,0.0000012885498,2.726261e-8,0.0005062549,0.80755335,0.01366242,0.06775413,0.0007969847,0.10881925],"study_design_scores_gemma":[0.00008134877,0.000004062789,0.000072269235,0.0000020910709,0.0000019084,5.1823116e-7,0.0002235847,0.9137574,0.0017567894,0.04482173,0.03918192,0.0000963624],"about_ca_topic_score_codex":0.00009184094,"about_ca_topic_score_gemma":0.000059506787,"teacher_disagreement_score":0.55796814,"about_ca_system_score_codex":0.000016587692,"about_ca_system_score_gemma":0.00003136437,"threshold_uncertainty_score":0.858725},"labels":[],"label_agreement":null},{"id":"W2021048974","doi":"10.5555/1030818.1030907","title":"Simulation of large scale networks I: modelling differentiated services in conservative PDES","year":2003,"lang":"en","type":"article","venue":"Winter Simulation Conference","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":"University of Calgary","funders":"","keywords":"Computer science; Quality of service; Scalability; Overhead (engineering); Distributed computing; Asynchronous communication; Differentiated services; Computer network; Kernel (algebra); Operating system","score_opus":0.12473887830110383,"score_gpt":0.39761896257164553,"score_spread":0.27288008427054167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021048974","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":[0.38438708,0.000019044368,0.6141387,0.000041851483,0.000053535554,0.0002686571,0.000013930692,0.00004445111,0.0010327355],"genre_scores_gemma":[0.997162,0.0000039127062,0.002331461,0.0001276535,0.000018023336,0.000021354706,0.00003087918,0.000014285163,0.00029041985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997234,0.00031085341,0.0011092665,0.0005048578,0.0005839818,0.00025704846],"domain_scores_gemma":[0.99571794,0.0021008293,0.0004950821,0.0005398332,0.0010722105,0.0000740986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010284933,0.00019507349,0.0003688952,0.00034259638,0.000111503425,0.00014524288,0.00039564064,0.0001512342,0.00076712586],"category_scores_gemma":[0.0002911269,0.00017148303,0.0001009031,0.0009860313,0.0000701523,0.0005039806,0.00006675255,0.00016218798,0.000028359753],"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":[0.00002539711,0.00008854128,0.047152556,0.0000055271335,0.000005898831,2.0856328e-7,0.0010570628,0.94561446,0.000059879512,0.005221416,0.0000052279534,0.0007638462],"study_design_scores_gemma":[0.0005185919,0.000024481127,0.012789684,0.000070006485,0.000007685635,1.390656e-7,0.00060051767,0.96375424,0.00047578284,0.020727746,0.0008689228,0.00016221844],"about_ca_topic_score_codex":0.00003203715,"about_ca_topic_score_gemma":0.00012788006,"teacher_disagreement_score":0.6127749,"about_ca_system_score_codex":0.000034781984,"about_ca_system_score_gemma":0.00004322051,"threshold_uncertainty_score":0.8399491},"labels":[],"label_agreement":null},{"id":"W2024480189","doi":"10.1109/qbsc.2014.6841211","title":"An Acumen/NS-3 integration for modeling networked Cyber-Physical Systems","year":2014,"lang":"en","type":"article","venue":"","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":"Queen's University","funders":"","keywords":"Computer science; Cyber-physical system; Credibility; Node (physics); Mainstream; Network simulation; Distributed computing; Simulation; Human–computer interaction; Systems engineering; Engineering; Operating system","score_opus":0.15367103816148567,"score_gpt":0.45745015654863325,"score_spread":0.30377911838714755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024480189","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":[0.09331253,0.0000035280025,0.90089625,0.0002637089,0.00009214816,0.00041583402,0.0000037560183,0.0001818599,0.004830351],"genre_scores_gemma":[0.98468184,5.9819735e-7,0.013384827,0.00013684627,0.00041157994,0.00017948273,0.000020905698,0.000010384701,0.0011735144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863744,0.000080100195,0.00039091642,0.00034439162,0.00040286902,0.00014429746],"domain_scores_gemma":[0.9982375,0.0006378539,0.000098506884,0.00054855086,0.00039301848,0.00008457407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012969503,0.00009183873,0.00017452767,0.00008428112,0.00018184245,0.00035779068,0.0003869913,0.00005894604,0.000031645835],"category_scores_gemma":[0.00025277227,0.00006074606,0.00008128686,0.00029587277,0.000018000306,0.0003293694,0.000022921386,0.000053178916,0.00006497686],"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":[0.000011262991,0.00006253551,0.0000665397,0.0000011084413,0.0000030206404,1.4202207e-8,0.00016488001,0.38501275,0.0013880853,0.5028198,0.0042823157,0.106187716],"study_design_scores_gemma":[0.00009751987,0.000055730146,0.00001934162,0.0000036361328,0.000004242092,2.8439538e-7,0.00022362906,0.8824676,0.0003075601,0.10726381,0.009478035,0.00007856208],"about_ca_topic_score_codex":0.000057974536,"about_ca_topic_score_gemma":0.000013303605,"teacher_disagreement_score":0.89136934,"about_ca_system_score_codex":0.000018772953,"about_ca_system_score_gemma":0.000013455089,"threshold_uncertainty_score":0.34501836},"labels":[],"label_agreement":null},{"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":"W2025908978","doi":"10.1109/iscc.2007.4381516","title":"A Performance Evaluation of a Hybrid Multicast Transport Protocol for a Distributed Collaborative Virtual Simulation of a Brain Tumor Tele-Surgery Class of Applications","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE Symposium on Computers and Communications/IEEE Symposium on Computers and Communications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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 Ottawa","funders":"","keywords":"Multicast; Protocol (science); Computer science; Class (philosophy); Computer network; Distributed computing; Medicine; Artificial intelligence","score_opus":0.09153222853471027,"score_gpt":0.39229131295991226,"score_spread":0.300759084425202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025908978","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":[0.28996414,0.000103928134,0.6113799,0.0066149575,0.00020822401,0.08800134,0.0009839628,0.00028446136,0.0024590327],"genre_scores_gemma":[0.95437866,0.00010613878,0.01817424,0.00024773448,0.00005328806,0.02684352,0.00013703218,0.000044994773,0.000014412355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945202,0.0002912784,0.002652246,0.0008318147,0.0013083306,0.00039616312],"domain_scores_gemma":[0.981768,0.008411755,0.002342818,0.0026573078,0.004585289,0.0002348148],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005390892,0.00048732717,0.0009739595,0.00095656945,0.0008890936,0.00014017419,0.0023518438,0.00015835164,0.000003873048],"category_scores_gemma":[0.00019305228,0.00046404835,0.00029318844,0.0019154543,0.0011174579,0.0004744825,0.00037041173,0.00037534273,0.0000019072671],"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":[0.004778888,0.01544805,0.022311,0.0013467481,0.0011223439,9.5129883e-7,0.01505191,0.37460634,0.0608372,0.11323703,0.007812796,0.38344672],"study_design_scores_gemma":[0.0023415952,0.0009809162,0.0024857318,0.00060467684,0.00015321097,0.000010177123,0.0007325839,0.9715817,0.010455598,0.0010501764,0.009104613,0.00049900333],"about_ca_topic_score_codex":0.00002950586,"about_ca_topic_score_gemma":0.000013933892,"teacher_disagreement_score":0.66441447,"about_ca_system_score_codex":0.00014496844,"about_ca_system_score_gemma":0.00030898917,"threshold_uncertainty_score":0.99978113},"labels":[],"label_agreement":null},{"id":"W2026440524","doi":"10.1177/0037549712458013","title":"Evolution of the discontinuity concept in modeling and simulation: from original idea to model switching, switchable understanding, and beyond","year":2012,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Composability; Discontinuity (linguistics); Computer science; Realization (probability); Theoretical computer science; Cognitive science; Industrial engineering; Distributed computing; Psychology; Mathematics; Engineering","score_opus":0.12646625002652614,"score_gpt":0.3989452004123899,"score_spread":0.2724789503858638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026440524","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":[0.48802823,0.00006824693,0.5112772,0.00014237376,0.000034142908,0.00024132825,0.000011596598,0.000014513445,0.0001823559],"genre_scores_gemma":[0.99653435,0.0000014838686,0.0032518806,0.0000669053,0.000059017213,0.000009506248,0.0000036849358,0.000009241087,0.000063954176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983734,0.00007958392,0.0005409725,0.00029965438,0.00052644964,0.00017995642],"domain_scores_gemma":[0.9985733,0.0006648986,0.00020446292,0.0003419345,0.0001267411,0.000088672234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009206218,0.00011849076,0.00019282746,0.0001699446,0.00019575661,0.00008324054,0.00016435992,0.0000868141,0.00002785418],"category_scores_gemma":[0.00039134116,0.00008822311,0.00003979207,0.0005303164,0.00004460888,0.00067296985,0.00012466147,0.000106468106,0.0000027105243],"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":[0.000015316851,0.000018319637,0.06592853,0.0000011792172,0.0000019028149,1.2902669e-8,0.0017745927,0.9071558,0.00028431285,0.02342473,0.000010166651,0.0013851541],"study_design_scores_gemma":[0.00021838133,0.000008050184,0.014818224,0.000014379107,0.000008150039,1.0740401e-7,0.0005991107,0.77245015,0.000062775434,0.21167739,0.00006147495,0.000081788785],"about_ca_topic_score_codex":0.00026136165,"about_ca_topic_score_gemma":0.000109769644,"teacher_disagreement_score":0.5085061,"about_ca_system_score_codex":0.0001593688,"about_ca_system_score_gemma":0.000035037247,"threshold_uncertainty_score":0.3597634},"labels":[],"label_agreement":null},{"id":"W2026522004","doi":"10.1155/2012/425075","title":"Operational Readiness Simulator: Optimizing Operational Availability Using a Virtual Environment","year":2012,"lang":"en","type":"article","venue":"International Journal of Aerospace Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Department of National Defence; Gastops (Canada)","funders":"","keywords":"Software deployment; Systems engineering; Operational planning; Sample (material); Simulation; Reliability engineering; Computer science; Engineering; Software engineering","score_opus":0.06971658555078172,"score_gpt":0.36825727710121964,"score_spread":0.29854069155043794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026522004","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":[0.44895363,0.00010165391,0.54906577,0.00080711127,0.00085839606,0.00009469531,0.000016924902,0.000021943391,0.00007986746],"genre_scores_gemma":[0.9344492,0.000013078014,0.064184986,0.00012423373,0.0009996515,0.0000052617474,0.0000061952937,0.000018259101,0.00019912621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967435,0.000052670286,0.0009771351,0.00020064572,0.0018049597,0.0002210638],"domain_scores_gemma":[0.9978293,0.0005688163,0.000392787,0.00024709414,0.0007627614,0.00019919747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019641283,0.00017029572,0.00024412948,0.00031732488,0.000103058046,0.00027541362,0.00069621945,0.00008115244,0.00073388376],"category_scores_gemma":[0.00093228015,0.00014546787,0.00017595627,0.00021320382,0.000044492343,0.0013873412,0.00014709342,0.00023403268,0.00005473178],"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":[0.000022387518,0.000110064735,0.012109485,7.9260536e-7,0.000053869568,0.0000024176272,0.0002786173,0.96263826,0.017284045,0.006088484,0.00054420135,0.00086740183],"study_design_scores_gemma":[0.0011702963,0.000100698824,0.02142395,0.000072196766,0.000040213232,0.0003252777,0.00045083475,0.8930771,0.0192135,0.00053435215,0.06305746,0.0005341413],"about_ca_topic_score_codex":0.000007812894,"about_ca_topic_score_gemma":3.0229958e-7,"teacher_disagreement_score":0.4854956,"about_ca_system_score_codex":0.00035165774,"about_ca_system_score_gemma":0.0000909221,"threshold_uncertainty_score":0.80355126},"labels":[],"label_agreement":null},{"id":"W2027778285","doi":"10.1177/0092070303031003015","title":"Big R (Versus Little R) Reviewers: The Anonymous Coauthor","year":2003,"lang":"en","type":"article","venue":"Journal of the Academy of Marketing Science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Big data; Advertising; Internet privacy; Psychology; Political science; Computer science; Data mining","score_opus":0.2116923876525582,"score_gpt":0.4523833999475666,"score_spread":0.2406910122950084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027778285","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":[0.90893567,0.0031911302,0.004498368,0.044601202,0.0020249763,0.0006749673,0.0000060307257,0.000028536868,0.03603911],"genre_scores_gemma":[0.994005,0.00014407306,0.004302061,0.00048235743,0.00010294508,0.0000018614112,6.9270922e-9,0.000004301031,0.00095734315],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99542123,0.0009096387,0.0009889812,0.0002021856,0.0022695465,0.00020843236],"domain_scores_gemma":[0.9898893,0.0069438773,0.0019352715,0.0005000047,0.00062957493,0.00010195829],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06151047,0.000085170905,0.00021228616,0.00017399041,0.0005346033,0.0001462345,0.003250643,0.00005081547,0.00009845501],"category_scores_gemma":[0.05828362,0.000037818114,0.00021254113,0.0025000244,0.0008162092,0.00027997448,0.00019523245,0.00038105014,0.000009768813],"study_design_candidate":"not_applicable","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":[0.00082773773,0.00031039992,0.028188359,0.00004880203,0.0000665091,0.0000019971192,0.0017179861,0.0027917423,0.0695657,0.065764606,0.18420158,0.6465146],"study_design_scores_gemma":[0.0007247173,0.00010837177,0.1084908,0.0003404228,0.000069595815,0.00013193669,0.0013468519,0.0012558863,0.03991723,0.048888527,0.79847497,0.00025067694],"about_ca_topic_score_codex":0.0000011819868,"about_ca_topic_score_gemma":2.166663e-7,"teacher_disagreement_score":0.6462639,"about_ca_system_score_codex":0.000046313526,"about_ca_system_score_gemma":0.00021921328,"threshold_uncertainty_score":0.9663725},"labels":[],"label_agreement":null},{"id":"W2028791860","doi":"10.1145/1878537.1878668","title":"Advanced IDE for modeling and simulation of discrete event systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"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; Computer science; Eclipse; Reuse; Discrete event simulation; Extensibility; Software engineering; Software; Event (particle physics); Code generation; Programming language; Reusability; Distributed computing; Modeling and simulation; Simulation; Operating system; Engineering","score_opus":0.09764527821027558,"score_gpt":0.4615807141182878,"score_spread":0.36393543590801225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028791860","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":[0.30894223,0.000011048377,0.6901334,0.000092920585,0.000043911637,0.00030146044,0.000007639801,0.000023404686,0.00044398443],"genre_scores_gemma":[0.9819384,0.0000013868274,0.01749515,0.000014519284,0.00002272248,0.00004436673,0.0000025166094,0.000004140925,0.0004767911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914837,0.00000986076,0.0003783942,0.00016844185,0.00023377863,0.000061154155],"domain_scores_gemma":[0.99868804,0.0006317036,0.00011270335,0.00025048605,0.0002824222,0.000034618548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006311716,0.000044271328,0.00010564085,0.000066414585,0.0000643614,0.000044938,0.0001164109,0.000036898102,0.00002381751],"category_scores_gemma":[0.00044121064,0.000030661704,0.000036551563,0.00012565311,0.000017976801,0.00014427473,0.000025603704,0.000031973814,0.000002195214],"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":[0.000006884058,0.00000578197,0.0002459799,0.0000027363785,0.0000011500064,5.3458655e-9,0.000037069647,0.9486323,0.0060045444,0.030982478,0.000026674594,0.014054404],"study_design_scores_gemma":[0.00011709057,0.000014256601,0.00012156433,0.0000033531062,0.0000024222177,1.7805526e-7,0.00013413878,0.9532404,0.000937497,0.0428253,0.0025643108,0.000039475653],"about_ca_topic_score_codex":0.000016265163,"about_ca_topic_score_gemma":0.000009416182,"teacher_disagreement_score":0.67299616,"about_ca_system_score_codex":0.0000029990786,"about_ca_system_score_gemma":0.000008965663,"threshold_uncertainty_score":0.1250348},"labels":[],"label_agreement":null},{"id":"W2028962696","doi":"10.5555/1218112.1218263","title":"A simulation algorithm for dynamic structure DEVS modeling","year":2006,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Correctness; Computer science; Formalism (music); Algorithm; Modeling and simulation; Adaptation (eye); Distributed computing; Formal specification; Object-oriented modeling; Theoretical computer science; Programming language; Software; Simulation; Mathematics","score_opus":0.10730159414204088,"score_gpt":0.4232543975389193,"score_spread":0.3159528033968784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028962696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039612334,0.000016785327,0.9583538,0.00027839228,0.00015244275,0.0007188038,0.00014887936,0.00020271275,0.0005158184],"genre_scores_gemma":[0.9413707,3.5449034e-7,0.056943968,0.00013906522,0.00014989011,0.000045881952,0.00015418965,0.000022484079,0.0011734676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747807,0.00006434784,0.0008978744,0.00062653,0.00067480723,0.00025839318],"domain_scores_gemma":[0.9960813,0.0014882182,0.00029210484,0.00058734097,0.0014830319,0.00006800433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004651714,0.00021469388,0.00026135572,0.0002887669,0.00026925863,0.00042984646,0.00047904797,0.00015860955,0.0004857152],"category_scores_gemma":[0.00043733403,0.00018645462,0.00015227938,0.00048222477,0.00004629702,0.0005183007,0.00006903771,0.00011747605,0.00005121481],"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":[0.000009901947,0.000018619272,0.000170677,0.0000016719189,0.000003663803,1.2697161e-7,0.000068221496,0.88075054,0.00019511637,0.0025786562,0.00006345486,0.11613935],"study_design_scores_gemma":[0.0003423239,0.000024106741,0.0005030405,0.000010998738,0.000010322412,4.2806712e-7,0.000050639806,0.83796334,0.0001158442,0.1560938,0.0046961266,0.00018899456],"about_ca_topic_score_codex":0.00002955035,"about_ca_topic_score_gemma":0.00005995909,"teacher_disagreement_score":0.9017584,"about_ca_system_score_codex":0.00007293367,"about_ca_system_score_gemma":0.00006309311,"threshold_uncertainty_score":0.76033986},"labels":[],"label_agreement":null},{"id":"W2029077199","doi":"10.5402/2012/365791","title":"Optimization of Swarm-Based Simulations","year":2012,"lang":"en","type":"article","venue":"ISRN Artificial Intelligence","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Swarm behaviour; Computer science; Multiphysics; Multi-swarm optimization; Abstraction; Computation; Metaheuristic; Heuristic; Swarm intelligence; Population; Representation (politics); Theoretical computer science; Particle swarm optimization; Mathematical optimization; Artificial intelligence; Algorithm; Mathematics; Finite element method; Engineering","score_opus":0.2994355438545751,"score_gpt":0.47274522770425936,"score_spread":0.17330968384968426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029077199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029883623,0.000023938715,0.9673224,0.00049219135,0.00015207511,0.00022197794,0.000025207373,0.00007432913,0.001804268],"genre_scores_gemma":[0.9624652,0.0000016977518,0.037154905,0.00013196518,0.00009781077,0.00001322653,0.000011034809,0.000009115607,0.00011501657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980921,0.00008032723,0.0008006839,0.0002129669,0.00060759834,0.00020632206],"domain_scores_gemma":[0.9975044,0.0011053302,0.00026911127,0.00052277144,0.0004996183,0.00009877058],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009792533,0.000094271454,0.00015435071,0.0002470804,0.00014067751,0.00006298409,0.00038560815,0.00007141931,0.0015188043],"category_scores_gemma":[0.0012925144,0.00008099449,0.000090675254,0.0012119014,0.000120175275,0.00030732123,0.000041687126,0.000072659794,0.0002802496],"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":[0.000007860784,0.00013577263,0.003308243,0.0000010448858,0.0000019334589,3.901151e-8,0.0001454674,0.90633714,0.0009449835,0.05425993,0.00012550449,0.03473208],"study_design_scores_gemma":[0.000011043846,0.000020285597,0.0005100226,0.0000051949532,0.000006810082,2.6942845e-7,0.00018310471,0.8016082,0.1473834,0.04772246,0.0024482182,0.00010098576],"about_ca_topic_score_codex":0.00002466412,"about_ca_topic_score_gemma":0.000015466234,"teacher_disagreement_score":0.9325816,"about_ca_system_score_codex":0.0000229755,"about_ca_system_score_gemma":0.000043901455,"threshold_uncertainty_score":0.99939394},"labels":[],"label_agreement":null},{"id":"W2030894866","doi":"10.3166/jesa.40.95-111","title":"The use of the numerical integrator in Scicos, a user friendly graphical based simulation software","year":2006,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Integrator; Computer science; Software; User Friendly; Software engineering; Programming language; Telecommunications","score_opus":0.06656514997503328,"score_gpt":0.34603507245156073,"score_spread":0.27946992247652747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030894866","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":[0.50763315,0.00014575927,0.4902072,0.0010843907,0.00020537224,0.0004623474,0.00002024237,0.00012596975,0.000115599665],"genre_scores_gemma":[0.98544157,0.0000066669954,0.013922017,0.00011139134,0.000067847715,0.000017566475,0.0000014341857,0.00002115335,0.0004103642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99573326,0.00091029616,0.0014076723,0.00026431805,0.001407122,0.00027735287],"domain_scores_gemma":[0.99326897,0.004530557,0.0008121719,0.0006020631,0.000701229,0.00008500072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018013904,0.00017503162,0.00028965395,0.00028263187,0.00072677707,0.00072615646,0.0008932776,0.00009867279,0.00008041458],"category_scores_gemma":[0.0047862013,0.00008582514,0.00028817295,0.0021843105,0.00031155098,0.0004289916,0.00011114835,0.00044627415,0.000020274532],"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":[0.000060470225,0.0002612231,0.33126017,0.000009886511,0.00001763029,0.000010266208,0.000120472374,0.43713507,0.0003200552,0.013674726,0.012695107,0.20443493],"study_design_scores_gemma":[0.00021128434,0.00004366082,0.60560596,0.00005956253,0.000009044338,0.000017140723,0.000034296998,0.33735052,0.00012282343,0.021416945,0.035038132,0.00009061861],"about_ca_topic_score_codex":0.00010913424,"about_ca_topic_score_gemma":0.00008793531,"teacher_disagreement_score":0.47780842,"about_ca_system_score_codex":0.0001143909,"about_ca_system_score_gemma":0.00015666152,"threshold_uncertainty_score":0.70023435},"labels":[],"label_agreement":null},{"id":"W2030941612","doi":"10.1145/2746345","title":"Autonomous Orchestration of Distributed Discrete Event Simulations in the Presence of Resource Uncertainty","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","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":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Distributed computing; Stateful firewall; Discrete event simulation; Scalability; Resource (disambiguation); Orchestration; Liveness; Event (particle physics); Synchronization (alternating current); Resource allocation; Real-time computing; Simulation; Computer network; Database","score_opus":0.12100948749920432,"score_gpt":0.37005367505200637,"score_spread":0.24904418755280205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030941612","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":[0.1518196,0.00011686466,0.8443842,0.0010799894,0.0000739359,0.001154203,0.0006191372,0.00004442063,0.0007076864],"genre_scores_gemma":[0.998865,0.00000450911,0.00076792017,0.000018796063,0.000016632826,0.000087975735,0.000022354569,0.000007579618,0.00020924483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755496,0.00040197195,0.000920466,0.00033268597,0.00063977396,0.0001501492],"domain_scores_gemma":[0.9964481,0.0019331998,0.00040638822,0.00080045883,0.00033186132,0.00008000694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015799552,0.0001418155,0.0003114524,0.00021630345,0.00013831076,0.000068935995,0.0005448013,0.00008826204,0.000014117893],"category_scores_gemma":[0.00039768,0.000095228,0.00008798228,0.000848234,0.00018519386,0.0001855326,0.000014097493,0.0001632384,0.0000032398275],"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":[0.00006401693,0.00018150194,0.00046646656,0.000007230423,0.000016102202,6.321977e-7,0.0023085552,0.9750859,0.0002047453,0.011497238,0.00010993048,0.010057651],"study_design_scores_gemma":[0.0012800478,0.00088473345,0.012111863,0.00014676581,0.00006290365,0.000016575957,0.024648294,0.9101468,0.0014917953,0.028336227,0.020497972,0.00037606037],"about_ca_topic_score_codex":0.00079093146,"about_ca_topic_score_gemma":0.00015637935,"teacher_disagreement_score":0.84704536,"about_ca_system_score_codex":0.00007817033,"about_ca_system_score_gemma":0.00014877252,"threshold_uncertainty_score":0.38832852},"labels":[],"label_agreement":null},{"id":"W2030966598","doi":"10.5555/1030453.1030537","title":"XML-based modeling and simulation: meta-models are models too","year":2002,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rotation formalisms in three dimensions; Computer science; Graph rewriting; Programming language; Model transformation; XML; XSLT; Theoretical computer science; Formalism (music); Metamodeling; Rewriting; Graph; Artificial intelligence","score_opus":0.5612975924680966,"score_gpt":0.4304044660883043,"score_spread":0.13089312637979234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030966598","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":[0.018294368,0.00016223665,0.9726585,0.0019558521,0.0000688875,0.00047838787,0.000037266946,0.00025761142,0.0060868873],"genre_scores_gemma":[0.9894783,0.000008725076,0.007814229,0.0010672709,0.00006659704,0.0000693925,0.000010784217,0.000025473217,0.0014592664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99659336,0.0001683097,0.0010131106,0.0008589257,0.0010539885,0.00031229443],"domain_scores_gemma":[0.9957117,0.0014704617,0.00038049708,0.00094507757,0.0012924846,0.00019981214],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008591534,0.0003094662,0.0005201095,0.00035468652,0.0003149824,0.00060293596,0.0005478609,0.00016773467,0.0021768133],"category_scores_gemma":[0.00039886512,0.00025251374,0.00023447325,0.00058274454,0.000095158175,0.0014119446,0.00012858918,0.00019037562,0.00011851621],"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":[0.000011397787,0.000045684148,0.00014388346,0.000003257502,0.000031712127,7.0996964e-7,0.00029491764,0.9870637,0.000010790215,0.0058822357,0.00026657002,0.0062451484],"study_design_scores_gemma":[0.0003220516,0.000023993784,0.000050862775,0.00001458727,0.0000823247,6.6405795e-7,0.000088866225,0.86824685,0.000029303596,0.12922718,0.0016585975,0.0002547156],"about_ca_topic_score_codex":0.000016765709,"about_ca_topic_score_gemma":0.000012491308,"teacher_disagreement_score":0.9711839,"about_ca_system_score_codex":0.00004130476,"about_ca_system_score_gemma":0.00002932124,"threshold_uncertainty_score":0.9999927},"labels":[],"label_agreement":null},{"id":"W2032472457","doi":"10.2166/wst.2009.034","title":"Automatic numerical solver selection from a repository of pre-run simulations","year":2009,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Université Laval","funders":"","keywords":"Solver; Correctness; Computer science; Reduction (mathematics); Computation; Mathematical optimization; Selection (genetic algorithm); Computational science; Algorithm; Mathematics; Artificial intelligence","score_opus":0.029327365391195223,"score_gpt":0.35691186230525357,"score_spread":0.32758449691405833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032472457","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":[0.877016,0.00001102288,0.11937671,0.0021452068,0.000075891374,0.00023066564,0.0000038672897,0.00041705172,0.00072356086],"genre_scores_gemma":[0.98361236,4.2240592e-7,0.015976124,0.00010336277,0.000023532675,0.000016150892,0.0000020177977,0.0000042998363,0.00026174934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976383,0.000034091845,0.0006553596,0.00057015155,0.00080771133,0.0002943817],"domain_scores_gemma":[0.99833786,0.00013651652,0.00019619893,0.00080296537,0.00046133884,0.00006514209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006032884,0.000110372195,0.00022406723,0.0011008729,0.00044275814,0.00011312954,0.0011620973,0.00014601863,0.00020208026],"category_scores_gemma":[0.00039696554,0.00007427102,0.00006062397,0.0035726961,0.00061284355,0.00043682376,0.00013982288,0.00014196598,0.0000629506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009692128,0.00021623341,0.014070303,8.8412514e-7,0.0000047967656,0.0000013477887,0.000956792,0.0042523113,0.86381984,0.012266314,0.0002985379,0.10410296],"study_design_scores_gemma":[0.00010717287,0.00015164062,0.017892376,0.0000061851824,0.000007929433,0.000008465398,0.00006615868,0.20977452,0.562474,0.20686905,0.002526984,0.000115530696],"about_ca_topic_score_codex":0.00004218657,"about_ca_topic_score_gemma":0.0000029301893,"teacher_disagreement_score":0.30134585,"about_ca_system_score_codex":0.00006889261,"about_ca_system_score_gemma":0.00008779351,"threshold_uncertainty_score":0.34053823},"labels":[],"label_agreement":null},{"id":"W2037293891","doi":"10.1177/0037549707085084","title":"Parallel Environment for DEVS and Cell-DEVS Models","year":2007,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":39,"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; Computer science; Bottleneck; Distributed computing; Modular design; Rotation formalisms in three dimensions; Parallel computing; Discrete event simulation; Composability; Formalism (music); Modeling and simulation; Embedded system; Operating system; Simulation","score_opus":0.16395595809397864,"score_gpt":0.4191839547410239,"score_spread":0.2552279966470452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037293891","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":[0.0752194,0.000048095862,0.921629,0.0001739274,0.000024429264,0.0005062262,0.000008883913,0.000050412724,0.0023396355],"genre_scores_gemma":[0.9510144,0.000006936132,0.047549933,0.00013444114,0.000051230178,0.000026998852,0.0000136549625,0.00000881639,0.0011935934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987454,0.000016033324,0.00040909875,0.00029103414,0.00038994823,0.00014849467],"domain_scores_gemma":[0.99823046,0.0011790975,0.00013834577,0.0002866115,0.00009317384,0.00007228872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011672971,0.000083689825,0.000104528044,0.00011364019,0.00017132777,0.00007302877,0.00013248023,0.00007447785,0.00007327585],"category_scores_gemma":[0.00010146611,0.00007044671,0.000048667338,0.00014207714,0.000032785767,0.00024397316,0.000037740003,0.000038713217,0.000040172483],"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":[0.00003069568,0.00003088566,0.00089859986,0.0000019078748,0.000001777418,1.0934126e-7,0.00020742402,0.9084589,0.000340902,0.012885658,0.00035220652,0.076790914],"study_design_scores_gemma":[0.00032977204,0.000027452907,0.004606728,0.0000013413832,0.0000050891613,2.0330484e-7,0.00008653574,0.77642125,0.00059646845,0.16745959,0.05037437,0.00009118979],"about_ca_topic_score_codex":0.000006735828,"about_ca_topic_score_gemma":0.0000035601665,"teacher_disagreement_score":0.875795,"about_ca_system_score_codex":0.000028612252,"about_ca_system_score_gemma":0.000008997933,"threshold_uncertainty_score":0.28727335},"labels":[],"label_agreement":null},{"id":"W2037318265","doi":"10.5555/1639809.1655382","title":"A system-on-chip FPGA implementation of embedded CD++","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Embedded system; Computer science; Field-programmable gate array; Software deployment; DEVS; Upgrade; Process (computing); Embedded software; Software; System on a chip; Computer architecture; Software engineering; Operating system; Modeling and simulation; Simulation","score_opus":0.10740067402119542,"score_gpt":0.4712501068777139,"score_spread":0.3638494328565185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037318265","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":[0.6457148,0.00001692224,0.14959967,0.0028260413,0.000097501994,0.0009765365,0.000033943605,0.00038967293,0.20034492],"genre_scores_gemma":[0.9956007,6.746532e-7,0.003166456,0.00032950533,0.000025329942,0.000013826201,0.0000036268746,0.000002632255,0.00085722934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986034,0.000040541054,0.00050123595,0.00019957015,0.0005655441,0.00008968866],"domain_scores_gemma":[0.99891657,0.00024641916,0.0001776323,0.00042910903,0.00018820852,0.00004208726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064970274,0.00006044277,0.0001295915,0.00015844492,0.000063681706,0.000049080918,0.00025946804,0.000030192758,0.00086211954],"category_scores_gemma":[0.000068882524,0.00004193414,0.000067611494,0.00049015624,0.000014299807,0.00009091005,0.000014221186,0.000029236198,0.00017117591],"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":[0.000015591353,0.00008857876,0.0018176947,0.0000030131448,0.0000065547492,4.8382236e-7,0.00041370088,0.0002195748,0.00475284,0.5187343,0.031489387,0.4424583],"study_design_scores_gemma":[0.0015090902,0.00084624003,0.27944097,0.00004014211,0.000031978198,0.000008470944,0.016700769,0.00685283,0.45659897,0.211289,0.026229141,0.00045239116],"about_ca_topic_score_codex":0.000026882228,"about_ca_topic_score_gemma":0.000007923026,"teacher_disagreement_score":0.45184612,"about_ca_system_score_codex":0.000016940912,"about_ca_system_score_gemma":0.00002156338,"threshold_uncertainty_score":0.9439604},"labels":[],"label_agreement":null},{"id":"W2037481200","doi":"10.5555/1400549.1400696","title":"CD++Modeler: a graphical toolkit to develop DEVS models","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Formalism (music); Discrete event simulation; Modeling and simulation; Object-oriented modeling; Software; Software engineering; Programming language; Simulation","score_opus":0.3172910236264324,"score_gpt":0.4296807991654119,"score_spread":0.1123897755389795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037481200","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":[0.40125322,0.000007261702,0.5967086,0.00033210084,0.00005008787,0.0003448833,0.000005233284,0.0002025289,0.0010960496],"genre_scores_gemma":[0.9216894,0.000006136783,0.07727448,0.00043325644,0.000055607376,0.00006918637,0.000004714063,0.000021073996,0.00044617415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966305,0.00010379776,0.000948841,0.00074789015,0.0012017875,0.00036717136],"domain_scores_gemma":[0.9955526,0.001283188,0.00019964026,0.0009534022,0.0017226074,0.00028854856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083584466,0.00023357941,0.00031583474,0.00047801976,0.0004972816,0.00017378022,0.0008317422,0.00014859109,0.0002105665],"category_scores_gemma":[0.0018730188,0.00020893365,0.000098898454,0.0019993768,0.00010521394,0.0006072264,0.00023970914,0.0002068213,0.0005785075],"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":[0.000020271618,0.00005592366,0.012703857,0.0000016087698,0.0000057203556,0.0000022505435,0.00066480774,0.9243177,0.00072348904,0.02823934,0.00007356149,0.033191446],"study_design_scores_gemma":[0.0002526209,0.00002186869,0.055312622,0.000012042787,0.0000044542835,0.0000029981195,0.000033488308,0.9035439,0.00053769705,0.036096007,0.0039078994,0.00027440814],"about_ca_topic_score_codex":0.00015720287,"about_ca_topic_score_gemma":0.00004800807,"teacher_disagreement_score":0.5204361,"about_ca_system_score_codex":0.000065647306,"about_ca_system_score_gemma":0.00017879035,"threshold_uncertainty_score":0.8520067},"labels":[],"label_agreement":null},{"id":"W2037845224","doi":"10.5555/1404803.1404846","title":"Constructive simulation versus serious games: a Canadian case study","year":2007,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","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":"Royal Military College of Canada","funders":"","keywords":"Constructive; Battle; Command and control; Aviation; Aeronautics; Training (meteorology); Computer science; Operations research; Control (management); Simulation; Engineering; Engineering management; Artificial intelligence; Process (computing); Aerospace engineering; Telecommunications","score_opus":0.19544180565172614,"score_gpt":0.47661289527900563,"score_spread":0.2811710896272795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037845224","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":[0.77160865,0.0000075160183,0.22512737,0.000040492905,0.00042390806,0.0010130103,0.000013528794,0.00017640898,0.001589121],"genre_scores_gemma":[0.9950892,4.7493475e-7,0.0045540533,0.00006365937,0.00012951677,0.000025388515,0.000004279337,0.000024002931,0.00010947776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966894,0.00015163688,0.0010243616,0.00075200986,0.00090446236,0.00047812198],"domain_scores_gemma":[0.9924656,0.004531574,0.00035856903,0.00097275357,0.0012491617,0.0004223523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021472129,0.00026154154,0.00030192762,0.00077482505,0.0006336137,0.00038678877,0.00045365945,0.00015562744,0.00034012663],"category_scores_gemma":[0.0025960628,0.00024972402,0.000097779215,0.001100117,0.00012675716,0.0005073198,0.00009298718,0.00025238167,0.00021543786],"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":[0.00008898507,0.000106950385,0.087977424,0.0000018627345,0.000025056475,0.00022184949,0.0026034475,0.7777625,0.000059122012,0.0023384592,0.0000053272984,0.12880902],"study_design_scores_gemma":[0.001509227,0.00011656363,0.07847081,0.000009295862,0.000028046878,0.000021772566,0.009563065,0.90585643,0.000102904974,0.0012680512,0.0027103012,0.00034352273],"about_ca_topic_score_codex":0.05226125,"about_ca_topic_score_gemma":0.114497215,"teacher_disagreement_score":0.2234805,"about_ca_system_score_codex":0.0002967465,"about_ca_system_score_gemma":0.00028912013,"threshold_uncertainty_score":0.9999955},"labels":[],"label_agreement":null},{"id":"W2037920501","doi":"10.5555/1639809.1655388","title":"CD++ repository: an internet based searchable database of DEVS models and their experimental frames","year":2009,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; USable; Context (archaeology); The Internet; Database; Storage model; Component (thermodynamics); Key (lock); Data modeling; Hierarchy; Context model; World Wide Web; Object (grammar); Modeling and simulation; Simulation; Artificial intelligence","score_opus":0.19115569188783202,"score_gpt":0.4304899693699511,"score_spread":0.23933427748211908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037920501","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":[0.6050444,0.000037907314,0.3942773,0.000051813862,0.00001690938,0.00018650299,0.000010845728,0.00006259227,0.0003116798],"genre_scores_gemma":[0.97780937,0.0000013831839,0.021977983,0.000089675385,0.000019482362,0.000010176954,0.000010835434,0.000007807703,0.000073276744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837303,0.000109519475,0.0005016175,0.00043481862,0.0004273001,0.0001536859],"domain_scores_gemma":[0.99801373,0.00064157986,0.00020602405,0.00068691524,0.00033217206,0.00011959241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005782363,0.00013975674,0.0002042847,0.00018876222,0.000121890866,0.00018827975,0.0003933877,0.00006879687,0.00006872103],"category_scores_gemma":[0.00022832915,0.00011266395,0.000045981633,0.0002250087,0.00010040646,0.0006920941,0.00007969975,0.000105315754,0.000004347224],"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":[0.00010507596,0.0004445777,0.011920409,0.000009908366,0.000009007152,0.0000013227718,0.0025277606,0.7660254,0.12264597,0.0453136,0.000018211962,0.05097871],"study_design_scores_gemma":[0.00024346307,0.00007718855,0.0067910417,0.00002780174,0.000002291537,3.4215037e-7,0.00030819225,0.8472465,0.1389803,0.0061176876,0.00009845929,0.00010671574],"about_ca_topic_score_codex":0.0002229947,"about_ca_topic_score_gemma":0.000008047536,"teacher_disagreement_score":0.37276495,"about_ca_system_score_codex":0.0000242095,"about_ca_system_score_gemma":0.000050601382,"threshold_uncertainty_score":0.45943025},"labels":[],"label_agreement":null},{"id":"W2041132750","doi":"10.5555/1400549.1400617","title":"Experiences with the DEVStone benchmark","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Benchmark (surveying); DEVS; Computer science; Modular design; Metric (unit); Variety (cybernetics); Set (abstract data type); Process (computing); Modeling and simulation; Discrete event simulation; Distributed computing; Simulation; Programming language; Artificial intelligence; Engineering","score_opus":0.1688163703236138,"score_gpt":0.40445943724412275,"score_spread":0.23564306692050896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041132750","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":[0.7637208,0.000020098578,0.23354949,0.0005166614,0.00003911733,0.0002610703,0.0000012589337,0.00010811327,0.0017833874],"genre_scores_gemma":[0.99329036,0.0000031732652,0.0056069954,0.00019274325,0.000052519834,0.00009768164,0.000001457856,0.000009477717,0.00074560056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792004,0.00008851161,0.0004073459,0.00040964817,0.0009660836,0.00020835426],"domain_scores_gemma":[0.99669373,0.0017305723,0.00022085418,0.00077615445,0.00049681665,0.00008184553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058199646,0.00014480531,0.00016403083,0.00011846461,0.0007703987,0.00016124455,0.0007103345,0.000053629865,0.0005467233],"category_scores_gemma":[0.00056168926,0.00008071102,0.000056106444,0.0006912119,0.0003498,0.00034137213,0.00008578072,0.00013649855,0.00016452541],"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":[0.000104638886,0.00019782424,0.18673316,0.000004794972,0.000031112508,0.000011939834,0.049954522,0.66356325,0.0013932398,0.02593354,0.0007290688,0.0713429],"study_design_scores_gemma":[0.00044652572,0.00006215881,0.21877922,0.000015236332,0.000009045521,0.00000824178,0.00826249,0.7489484,0.0027219055,0.0013039511,0.019104298,0.00033850365],"about_ca_topic_score_codex":0.000082658036,"about_ca_topic_score_gemma":0.000028099303,"teacher_disagreement_score":0.22956955,"about_ca_system_score_codex":0.000023708277,"about_ca_system_score_gemma":0.000079812104,"threshold_uncertainty_score":0.5986237},"labels":[],"label_agreement":null},{"id":"W2041830469","doi":"10.1115/ipc2014-33350","title":"Verification and Validation of Pipeline Terminal Simulation Models","year":2014,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Verification and validation of computer simulation models; Computer science; Pipeline (software); Terminal (telecommunication); Verifiable secret sharing; Model validation; Verification and validation; Calibration; Software; Software verification; Process (computing); Formal verification; Reliability engineering; Simulation; Software development; Engineering; Software construction; Algorithm; Programming language","score_opus":0.15767447333053408,"score_gpt":0.42878550615852357,"score_spread":0.2711110328279895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041830469","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":[0.18134725,0.000004259741,0.8116709,0.00021236118,0.000012435519,0.00011300062,0.0000023326586,0.000036289333,0.0066011827],"genre_scores_gemma":[0.9878934,0.0000025212569,0.0115150465,0.00005315073,0.000026664991,0.000007845203,0.00000936217,0.000003688893,0.000488308],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890435,0.000056870937,0.0004189148,0.00020091249,0.0003660759,0.000052892567],"domain_scores_gemma":[0.99856275,0.00057342136,0.00018100411,0.00032946558,0.00032002595,0.00003333835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010592499,0.00005103494,0.00010064243,0.00012620077,0.000056549812,0.00004742299,0.00012611589,0.00004176805,0.000112777365],"category_scores_gemma":[0.00040356995,0.000039390176,0.000025554999,0.00026800184,0.000037827165,0.00028713795,0.000025557345,0.000025304467,0.000017178869],"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":[0.00001598522,0.00005340989,0.0024892557,0.000004203836,0.0000017141217,2.136692e-8,0.00018355154,0.41176528,0.0046401722,0.13893513,0.00042087663,0.44149038],"study_design_scores_gemma":[0.00008235071,0.000015129792,0.0019881849,0.0000018417622,0.000003099828,3.4935258e-7,0.000020302192,0.80186945,0.010702765,0.18280724,0.0024708144,0.000038458078],"about_ca_topic_score_codex":0.000012272767,"about_ca_topic_score_gemma":0.0000010336124,"teacher_disagreement_score":0.80654615,"about_ca_system_score_codex":0.0000057432558,"about_ca_system_score_gemma":0.000007497562,"threshold_uncertainty_score":0.16062847},"labels":[],"label_agreement":null},{"id":"W2042354044","doi":"10.1177/0037549708092223","title":"DEVS Approach to Real-time RTI Design for Large-scale Distributed Simulation Systems","year":2008,"lang":"en","type":"article","venue":"SIMULATION","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":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"DEVS; Computer science; Middleware (distributed applications); Key (lock); Implementation; High-level architecture; Discrete event simulation; Component (thermodynamics); Scale (ratio); Distributed computing; Modeling and simulation; Simulation; Programming language; Interoperability; Operating system","score_opus":0.18809411051347663,"score_gpt":0.40838334286533884,"score_spread":0.2202892323518622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042354044","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":[0.047046877,0.000010869911,0.9482221,0.00012105922,0.00009013374,0.00255595,0.00020014477,0.00035732368,0.0013955348],"genre_scores_gemma":[0.9544137,0.0000017742841,0.04238431,0.000066337416,0.00018096803,0.00031927318,0.0003628692,0.00003160078,0.0022391416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968752,0.00019529041,0.00094836147,0.0006780126,0.0009429404,0.00036018866],"domain_scores_gemma":[0.9947799,0.002897164,0.00033565817,0.00076050014,0.0010404822,0.00018628834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018341498,0.00021148643,0.00034904323,0.0003095415,0.0006368641,0.00018338207,0.00040907686,0.00018420763,0.000054577824],"category_scores_gemma":[0.0012885273,0.00018615679,0.0001428837,0.001322836,0.000030609193,0.00041851692,0.0000627863,0.00007350537,0.00030611453],"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":[0.00006850337,0.00010551695,0.00076480256,0.0000039815113,0.00000586976,1.548305e-7,0.00037902512,0.9929594,0.00039391787,0.0014330508,0.0030635353,0.0008222565],"study_design_scores_gemma":[0.0004890371,0.00006775069,0.0047492897,0.0000070614315,0.000013670377,0.0000012923671,0.000113092996,0.9672907,0.00019763484,0.004053404,0.022791097,0.00022594568],"about_ca_topic_score_codex":0.000022984266,"about_ca_topic_score_gemma":0.00000112082,"teacher_disagreement_score":0.9073669,"about_ca_system_score_codex":0.00012981148,"about_ca_system_score_gemma":0.000068270485,"threshold_uncertainty_score":0.75912535},"labels":[],"label_agreement":null},{"id":"W2044865094","doi":"10.5555/1400549.1400701","title":"Event behavior of discrete event simulations in CD++ vs. NS-2","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"Timestamp; Event (particle physics); Computer science; Event data; Discrete event simulation; Set (abstract data type); Data modeling; Real-time computing; Simulation; Database","score_opus":0.12912724917755058,"score_gpt":0.452355350726809,"score_spread":0.3232281015492584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044865094","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":[0.9294523,0.000015715801,0.06621691,0.0006574477,0.00003868933,0.000463033,0.00003127976,0.00005324586,0.0030713757],"genre_scores_gemma":[0.99312675,0.0000059319505,0.003394571,0.000081245424,0.00001636674,0.000058576163,0.000008399955,0.0000066136454,0.003301565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980526,0.000053907974,0.0008025492,0.00027218595,0.0006843438,0.00013439394],"domain_scores_gemma":[0.99855745,0.000458393,0.00017057362,0.0005543306,0.00019489018,0.00006434364],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004514893,0.00008550864,0.00019193487,0.0002644496,0.00009847994,0.00001714748,0.00035364155,0.00005554393,0.0016593804],"category_scores_gemma":[0.00025401896,0.00006413773,0.000110965506,0.00087094586,0.00007696408,0.00016002645,0.00008151629,0.00007099712,0.00008333979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027849268,0.0007850609,0.8826733,0.000002777362,0.0000071051227,0.000006609927,0.0009173712,0.0512833,0.0039116167,0.033198252,0.0064963587,0.020690387],"study_design_scores_gemma":[0.00036217115,0.000059476744,0.9339459,0.000008567346,0.00000771929,0.000004664204,0.00014014733,0.03278679,0.005736099,0.015546328,0.011242335,0.00015983378],"about_ca_topic_score_codex":0.00017552532,"about_ca_topic_score_gemma":0.00013873799,"teacher_disagreement_score":0.06367442,"about_ca_system_score_codex":0.000032008968,"about_ca_system_score_gemma":0.000048260343,"threshold_uncertainty_score":0.9992532},"labels":[],"label_agreement":null},{"id":"W2046202967","doi":"10.1145/1878537.1878683","title":"Conservative DEVS","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"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; Computer science; Computation; Overhead (engineering); Synchronization (alternating current); Algorithm; Parallel computing; Theoretical computer science; Distributed computing; Simulation; Modeling and simulation; Programming language; Computer network","score_opus":0.20513879810598248,"score_gpt":0.5071567154705285,"score_spread":0.3020179173645461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046202967","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":[0.4599862,0.000001251703,0.111143306,0.004883167,0.00010854272,0.00013746545,0.0000040033524,0.00016722851,0.42356884],"genre_scores_gemma":[0.9589816,1.6700145e-7,0.022591252,0.0009499833,0.000026404408,0.000012077747,6.8083136e-7,0.0000019538236,0.017435936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993522,0.000011223615,0.00017450865,0.00013625891,0.00026875184,0.000057051708],"domain_scores_gemma":[0.9987383,0.000614271,0.000043224773,0.0003399562,0.00022241012,0.000041841064],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00051696174,0.000031626332,0.000050674742,0.000051073763,0.00007305101,0.000077719305,0.00027317263,0.0000311138,0.006107135],"category_scores_gemma":[0.0007201137,0.000020234318,0.000027386668,0.00032807956,0.00005169931,0.000093869494,0.000034935576,0.00007100138,0.0012140163],"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":[0.0000013714646,0.00001873108,0.01833903,7.909868e-8,0.000001175628,1.9786566e-7,0.00006708259,0.0000034041527,0.0077461395,0.81196177,0.094304845,0.06755615],"study_design_scores_gemma":[0.000048713948,0.0000053509416,0.037674695,1.9038274e-7,5.701092e-7,0.0000012759598,0.00008500182,0.0022027704,0.012118689,0.27548566,0.6723309,0.000046159264],"about_ca_topic_score_codex":0.000024513449,"about_ca_topic_score_gemma":0.000082431776,"teacher_disagreement_score":0.57802606,"about_ca_system_score_codex":0.0000017277724,"about_ca_system_score_gemma":0.000019856361,"threshold_uncertainty_score":0.99956363},"labels":[],"label_agreement":null},{"id":"W2047401706","doi":"10.1142/9789812811752_0004","title":"SYSTEMATICS IN $a_2^{\\rm eff}$ IN COLOR-SUPPRESSED D AND B DECAYS","year":2001,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Systematics; Physics; Biology; Taxonomy (biology); Botany","score_opus":0.1355863901457425,"score_gpt":0.4339089394219386,"score_spread":0.29832254927619606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047401706","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":[0.9482173,0.00004937954,0.017960198,0.0008855071,0.000025016441,0.0005188099,0.000002236977,0.0000554823,0.03228611],"genre_scores_gemma":[0.9945413,0.000016539203,0.0035119357,0.00018050605,0.000009316596,0.000063702864,9.69793e-7,0.000004376593,0.0016713892],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998609,0.00007245595,0.0005833437,0.00024135655,0.00036341092,0.00013041883],"domain_scores_gemma":[0.9984037,0.0010373126,0.00008384707,0.0003457316,0.00007866206,0.000050709532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012980442,0.000070863025,0.00019718608,0.0002560294,0.00003842878,0.00011183762,0.00025221863,0.000067051325,0.00041174341],"category_scores_gemma":[0.00047550956,0.000050991883,0.000021613314,0.000911873,0.000033664546,0.00013304193,0.0000649557,0.0000637026,0.00008120914],"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":[0.000043541393,0.00035942474,0.7919596,0.00004524885,0.000005812156,0.000027691869,0.0014661866,0.0028675396,0.0020144936,0.16538322,0.012357618,0.023469623],"study_design_scores_gemma":[0.0018174308,0.000091142974,0.36732173,0.00015206635,0.000007500539,0.00003222282,0.0032986864,0.39317992,0.0030920266,0.18501997,0.04552512,0.0004621582],"about_ca_topic_score_codex":0.00010297899,"about_ca_topic_score_gemma":0.0004367327,"teacher_disagreement_score":0.42463785,"about_ca_system_score_codex":0.00002616454,"about_ca_system_score_gemma":0.000016927643,"threshold_uncertainty_score":0.45083016},"labels":[],"label_agreement":null},{"id":"W2048261505","doi":"10.4271/2014-01-1106","title":"Complex System Engineering Simulation through Co-Simulation","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","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":false,"ca_institutions":"Delastek (Canada)","funders":"Argonne National Laboratory; Vehicle Technologies Office; Office of Science","keywords":"Computer science; Co-simulation; Systems engineering; Simulation; Engineering","score_opus":0.07411021139330991,"score_gpt":0.3723090000038529,"score_spread":0.298198788610543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048261505","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":[0.5560533,0.00026311676,0.020412825,0.010627105,0.0012034362,0.008502296,0.00042359292,0.028213978,0.37430033],"genre_scores_gemma":[0.9847781,0.000012645525,0.012626853,0.0013139885,0.0003344028,0.00031091587,0.000103300474,0.00012550857,0.00039429014],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9922323,0.00033915817,0.0023118765,0.0017088818,0.002543811,0.0008639233],"domain_scores_gemma":[0.9906606,0.005178995,0.00064152316,0.0026366853,0.000503154,0.0003790433],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024832543,0.00078874035,0.0011444845,0.00042645616,0.0007566109,0.00044775082,0.0017869058,0.0008580021,0.00080247584],"category_scores_gemma":[0.0039635645,0.00065841514,0.00059100037,0.0018933677,0.0005153327,0.0010308275,0.00037429034,0.00088460336,0.0007384846],"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":[0.00014495577,0.00022582535,0.00026248625,0.000038110113,0.000025318124,0.00000505755,0.00004991512,0.14087169,0.69419676,0.14966072,0.0030870647,0.01143209],"study_design_scores_gemma":[0.00055729854,0.00043394355,0.70504636,0.00011829914,0.000042560685,0.000017694256,0.00009246148,0.0011374806,0.00012392756,0.007902892,0.28384846,0.00067862414],"about_ca_topic_score_codex":0.000028226772,"about_ca_topic_score_gemma":0.0020608848,"teacher_disagreement_score":0.70478386,"about_ca_system_score_codex":0.00042601977,"about_ca_system_score_gemma":0.000059401063,"threshold_uncertainty_score":0.9995867},"labels":[],"label_agreement":null},{"id":"W2049668503","doi":"10.1287/ited.2.2.27","title":"Graphical Spreadsheet Simulation of Queues","year":2002,"lang":"en","type":"article","venue":"INFORMS Transactions on Education","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":19,"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; University of Alberta","funders":"","keywords":"Computer science; Gantt chart; Queue; Queueing theory; Graph; Service (business); Queue management system; Fork–join queue; Callback; Real-time computing; Operations research; Theoretical computer science; Computer network; Mathematics","score_opus":0.08833992769319732,"score_gpt":0.402821534329423,"score_spread":0.3144816066362257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049668503","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":[0.116312675,0.00003879882,0.8562626,0.0014796335,0.00040956814,0.0005514384,0.00003428865,0.0001859141,0.024725083],"genre_scores_gemma":[0.9956818,0.000024090094,0.0015782466,0.00024109505,0.00004298491,0.00008012853,0.000008619132,0.000009367535,0.0023336546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819046,0.000032550157,0.0007266954,0.00023647177,0.0006867716,0.00012706789],"domain_scores_gemma":[0.997972,0.00061492407,0.0002419683,0.0005963613,0.0004883078,0.000086428074],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003876765,0.00011584082,0.00016112479,0.00061701954,0.00017192995,0.000077103854,0.00029745474,0.000112483685,0.0025101413],"category_scores_gemma":[0.00018715695,0.000092181464,0.00014758811,0.001252642,0.00008559394,0.00057677604,0.0000025879394,0.00013561855,0.0003229353],"study_design_candidate":"design_other","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":[0.00001643568,0.0006636102,0.0004662346,0.0000050265253,0.000010348534,3.552298e-8,0.00079302944,0.11431698,0.00017853544,0.0075070485,0.0016905783,0.87435216],"study_design_scores_gemma":[0.00071277615,0.000445894,0.024917658,0.000079143676,0.000060443188,0.000008381844,0.002154548,0.6592023,0.014481425,0.122308195,0.1749841,0.00064516906],"about_ca_topic_score_codex":0.00003840488,"about_ca_topic_score_gemma":0.000011088635,"teacher_disagreement_score":0.87936914,"about_ca_system_score_codex":0.000042712196,"about_ca_system_score_gemma":0.000044119035,"threshold_uncertainty_score":0.9984017},"labels":[],"label_agreement":null},{"id":"W2049871613","doi":"10.1007/bf03016408","title":"Expert versus non-expert raters in simulation performance evaluation","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Wilson Centre; University of Toronto; Women's College Hospital","funders":"","keywords":"Computer science; Psychology; Artificial intelligence; Natural language processing; Machine learning","score_opus":0.0959764257871998,"score_gpt":0.35445219356983637,"score_spread":0.2584757677826366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049871613","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":[0.994762,0.00046511323,0.0003806979,0.0028284937,0.00041702812,0.0002711656,0.000001539396,0.000008466218,0.00086551264],"genre_scores_gemma":[0.9981589,0.000113962844,0.00079683156,0.00015214321,0.000508533,0.000010224205,0.0000037840691,0.000030069283,0.0002256066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"case_report","domain_scores_codex":[0.9955331,0.0002700721,0.001554847,0.00031605767,0.0016873934,0.00063852826],"domain_scores_gemma":[0.9948039,0.0004577761,0.00093526393,0.00042502847,0.0020607857,0.0013172198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047003394,0.0002713582,0.00049770914,0.0018449886,0.0007469764,0.00029254076,0.0010465686,0.00019772179,0.0006253713],"category_scores_gemma":[0.0009929372,0.00023194228,0.00023273895,0.0014319273,0.00021111616,0.0012266949,0.000009815419,0.00055328815,0.000048157075],"study_design_candidate":"case_report","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":[0.0009869797,0.00016981793,0.068453915,0.000008158622,0.000097958226,0.1198331,0.02194331,0.5638486,0.00021741157,0.00030137989,0.033187497,0.19095185],"study_design_scores_gemma":[0.0056023165,0.0016622581,0.16168009,0.00024119738,0.000051617368,0.61233264,0.0033498793,0.13255575,0.00050673017,0.0013581462,0.07956581,0.0010935573],"about_ca_topic_score_codex":0.00426236,"about_ca_topic_score_gemma":0.005301322,"teacher_disagreement_score":0.49249956,"about_ca_system_score_codex":0.0013573049,"about_ca_system_score_gemma":0.004477527,"threshold_uncertainty_score":0.94583315},"labels":[],"label_agreement":null},{"id":"W2050434725","doi":"10.5555/510378.510418","title":"Real-time simulations: effective real-time simulations of event-based systems","year":2000,"lang":"en","type":"article","venue":"Winter Simulation Conference","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":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Toolbox; Computer science; Reset (finance); Event (particle physics); Set (abstract data type); Software; Discrete event simulation; Real-time simulation; Real-time computing; Algorithm; Simulation","score_opus":0.0570955033810592,"score_gpt":0.38794841075105196,"score_spread":0.3308529073699928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050434725","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":[0.74561435,0.000018793204,0.22977614,0.00037803402,0.00016535193,0.0029045662,0.0006758791,0.000557351,0.019909536],"genre_scores_gemma":[0.9883642,0.0000061962464,0.0015547362,0.000058401045,0.00011915382,0.000089028836,0.00022628912,0.00004380922,0.009538162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946456,0.000655979,0.0019341835,0.00094226404,0.001426079,0.0003959232],"domain_scores_gemma":[0.98880714,0.006677947,0.00078355224,0.0015269803,0.0019945025,0.00020990499],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011065064,0.0004052207,0.00072800874,0.00061327487,0.00034931974,0.0003630648,0.0008486709,0.00026675925,0.017310452],"category_scores_gemma":[0.0009094023,0.00036628073,0.00029023865,0.0015443086,0.00022118607,0.00072957895,0.00007675445,0.00018804515,0.0017261767],"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":[0.00009601044,0.00016750426,0.0016703785,0.000010101453,0.000027931554,7.964916e-7,0.0002636716,0.9747247,0.011368001,0.0013850122,0.0003952521,0.009890654],"study_design_scores_gemma":[0.0008102893,0.00013965419,0.0074550575,0.000112161026,0.000044781336,9.1672206e-7,0.00004305614,0.979778,0.0018763015,0.0045602117,0.0048139966,0.00036555852],"about_ca_topic_score_codex":0.00023661848,"about_ca_topic_score_gemma":0.00001539708,"teacher_disagreement_score":0.24274988,"about_ca_system_score_codex":0.0001383821,"about_ca_system_score_gemma":0.00020138068,"threshold_uncertainty_score":0.99987894},"labels":[],"label_agreement":null},{"id":"W2051169247","doi":"10.1145/2611561","title":"Discrete Event Execution with One-Sided and Two-Sided GVT Algorithms on 216,000 Processor Cores","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Asynchronous communication; Computer science; Parallel computing; Computation; Synchronization (alternating current); Massively parallel; Distributed computing; Exploit; Event (particle physics); Supercomputer; Algorithm; Implementation; Parallel algorithm; Multi-core processor","score_opus":0.08701757572331453,"score_gpt":0.3748221742226232,"score_spread":0.2878045984993087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051169247","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":[0.2076907,0.000011341151,0.7910686,0.00060045294,0.00005142048,0.00034641632,0.000010373665,0.00015194464,0.00006874015],"genre_scores_gemma":[0.9579372,0.000014606865,0.041464668,0.00030768846,0.000094364485,0.00005698664,0.000017177308,0.000020431837,0.00008689102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781436,0.00011627842,0.00051271037,0.0006781202,0.00066827674,0.00021028647],"domain_scores_gemma":[0.99765295,0.0011360592,0.00016020922,0.0006250664,0.00030167677,0.0001240156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006461602,0.00022100256,0.00025648,0.0002993634,0.00057951297,0.00029459776,0.00023591326,0.000094334435,0.000018173821],"category_scores_gemma":[0.000083338055,0.00017186458,0.00006083292,0.0003813418,0.000060259325,0.00033553873,0.000016792972,0.00019181467,0.000010216353],"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":[0.00007455807,0.00006010614,0.000045053832,0.0000032296034,0.000010509118,1.3037817e-7,0.0002003149,0.79545474,0.00002281327,0.00075294625,0.00000477043,0.20337082],"study_design_scores_gemma":[0.0008457885,0.00035842592,0.00066107797,0.000100035984,0.00003230675,0.0000030039646,0.000050091665,0.9565082,0.00026765018,0.040834285,0.00012263271,0.0002164999],"about_ca_topic_score_codex":0.00005893895,"about_ca_topic_score_gemma":0.000019962254,"teacher_disagreement_score":0.75024647,"about_ca_system_score_codex":0.000029975246,"about_ca_system_score_gemma":0.000018962648,"threshold_uncertainty_score":0.70084345},"labels":[],"label_agreement":null},{"id":"W2053161063","doi":"10.1109/have.2007.4371593","title":"A Formal Approach to RT-RTI Design Using Real Time DEVS","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"University of Ottawa","funders":"","keywords":"DEVS; Computer science; High-level architecture; Formalism (music); Discrete event simulation; Key (lock); Distributed computing; Thread (computing); Architecture; Formal verification; Modeling and simulation; Theoretical computer science; Simulation; Programming language; Operating system; Interoperability","score_opus":0.34218041882916056,"score_gpt":0.46836193710453916,"score_spread":0.1261815182753786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053161063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04600001,0.0000013723608,0.81167686,0.00006747788,0.000013077302,0.00032220662,0.0000013108491,0.00013313185,0.14178456],"genre_scores_gemma":[0.5198076,2.2479713e-7,0.4758041,0.00025351095,0.000041598807,0.000008454592,0.0000011674614,0.000006069185,0.0040773456],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838424,0.00003161942,0.0004449805,0.00028656458,0.0005850674,0.0002675141],"domain_scores_gemma":[0.9986769,0.0004915592,0.00007659283,0.00041408296,0.00019096921,0.00014991278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032419674,0.00008271317,0.00012445041,0.00022401301,0.00018579233,0.00013349032,0.00040349056,0.00006316555,0.00038597384],"category_scores_gemma":[0.00020792063,0.000059840022,0.00005449492,0.00095498655,0.000024911404,0.000269366,0.00010238103,0.000048009897,0.00061476004],"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":[0.00024243203,0.0005979378,0.0032393385,0.000004095043,0.000025902888,0.000004357661,0.0020604532,0.050954748,0.08597584,0.2330132,0.08995459,0.5339271],"study_design_scores_gemma":[0.00042950964,0.00013198599,0.010251543,0.0000061106093,0.0000150116675,0.000027558835,0.0007909418,0.85529685,0.044881023,0.042255167,0.045370534,0.0005437879],"about_ca_topic_score_codex":0.00006458699,"about_ca_topic_score_gemma":0.000002439391,"teacher_disagreement_score":0.8043421,"about_ca_system_score_codex":0.000039683902,"about_ca_system_score_gemma":0.000038212398,"threshold_uncertainty_score":0.79017013},"labels":[],"label_agreement":null},{"id":"W2055403222","doi":"10.5555/1639809.1655372","title":"Verification of real-time DEVS models","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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; Computer science; Automaton; Discrete event simulation; Elevator; Event (particle physics); Software; Distributed computing; Modeling and simulation; Theoretical computer science; Programming language; Simulation; Engineering","score_opus":0.15584817849388954,"score_gpt":0.4284852951649994,"score_spread":0.27263711667110985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055403222","genre_codex":"other","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":[0.11576819,0.000007606062,0.4320661,0.0015437999,0.00001154098,0.00020945678,0.0000053549957,0.00016169909,0.45022625],"genre_scores_gemma":[0.9711688,0.000009203155,0.023095023,0.00011202323,0.000010381438,0.0000040950276,0.0000032786488,0.0000018517392,0.0055953367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990316,0.000019862038,0.00034994676,0.00015941315,0.00037962123,0.000059562688],"domain_scores_gemma":[0.9989913,0.00016074325,0.00011285543,0.00046406972,0.00023866731,0.000032330296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050700206,0.0000398745,0.00009259443,0.0000933296,0.000038200993,0.000028770732,0.00027258825,0.000034698216,0.00065499864],"category_scores_gemma":[0.00009166511,0.00002910311,0.00004252401,0.00043792397,0.000019574625,0.00017985998,0.000011445035,0.000019324614,0.00021511613],"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":[0.000008514266,0.00008150836,0.00012781844,3.4101635e-7,0.0000015681632,6.9212305e-8,0.00013193398,0.00365457,0.051400516,0.75595534,0.021322422,0.16731538],"study_design_scores_gemma":[0.00007813561,0.000037896145,0.008795584,0.0000018275125,0.00000237196,4.7025924e-7,0.000044485034,0.18037361,0.025656234,0.77945894,0.0054840213,0.0000664314],"about_ca_topic_score_codex":0.000019003239,"about_ca_topic_score_gemma":5.452855e-7,"teacher_disagreement_score":0.8554006,"about_ca_system_score_codex":0.000007867559,"about_ca_system_score_gemma":0.000017217337,"threshold_uncertainty_score":0.71717757},"labels":[],"label_agreement":null},{"id":"W2055549219","doi":"10.5555/1030453.1030552","title":"Parallel and distributed simulation: fast cell level ATM network simulation","year":2002,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmark (surveying); Computer science; Kernel (algebra); Discrete event simulation; Factor (programming language); Parallel computing; Simulation; Mathematics","score_opus":0.2549768272720732,"score_gpt":0.39288937512377375,"score_spread":0.13791254785170054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055549219","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":[0.023491373,0.0000868708,0.9690756,0.0007896755,0.00017246314,0.00064479304,0.00011574184,0.000267556,0.005355881],"genre_scores_gemma":[0.9898701,0.000010323555,0.004882022,0.00038709462,0.00026851078,0.000036163186,0.00008956949,0.000028497305,0.0044277487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962735,0.00021554805,0.0011892206,0.0008997142,0.0009993291,0.00042267406],"domain_scores_gemma":[0.9941464,0.0030973284,0.00053262524,0.0009075193,0.0010829264,0.00023317407],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071222,0.0003500248,0.00041653885,0.00020269633,0.00048872165,0.00066105556,0.00055105105,0.00022787355,0.0034293514],"category_scores_gemma":[0.0006457678,0.00031482553,0.00014517337,0.0009460376,0.00015477529,0.0008319563,0.00020582945,0.00024011507,0.00052824547],"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":[0.000024746554,0.000061639614,0.006343354,0.0000039264933,0.000008150663,0.0000010219619,0.00036379878,0.954513,0.000018585792,0.0016541578,0.0011452411,0.03586236],"study_design_scores_gemma":[0.0006349088,0.000054697255,0.018302966,0.000022525861,0.000018435569,9.805601e-7,0.00009739175,0.9219885,0.000017574672,0.0113305785,0.047194634,0.0003368055],"about_ca_topic_score_codex":0.000010959246,"about_ca_topic_score_gemma":0.0000148176105,"teacher_disagreement_score":0.9663787,"about_ca_system_score_codex":0.00006223097,"about_ca_system_score_gemma":0.000026221323,"threshold_uncertainty_score":0.9999304},"labels":[],"label_agreement":null},{"id":"W2055668766","doi":"10.5555/564124.564276","title":"Roadways, vehicle, and traffic applications: defining models of urban traffic using the TSC tool","year":2001,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"Computer science; Compiler; Macro; Programming language; Specification language; Microsimulation; Simple (philosophy); Software engineering; Transport engineering; Engineering","score_opus":0.17464218169420292,"score_gpt":0.3923396695695698,"score_spread":0.21769748787536686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055668766","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":[0.48645237,0.00011544135,0.5118793,0.0002494922,0.000023275392,0.00043227436,0.000011754225,0.0000697413,0.000766338],"genre_scores_gemma":[0.99611306,0.000018252756,0.0033307627,0.00014728765,0.000048135436,0.00005932963,0.00000779237,0.000013482005,0.00026191786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978746,0.00011240503,0.0008119207,0.00044841308,0.000570873,0.00018175777],"domain_scores_gemma":[0.99714804,0.0011536832,0.00036655398,0.0006877891,0.00058215344,0.00006178162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008024731,0.0001595849,0.00024083741,0.0001880074,0.00027196595,0.00023708513,0.0005249062,0.0000919143,0.00018528059],"category_scores_gemma":[0.00017072957,0.000116318,0.00008820171,0.00074285694,0.00017898965,0.0004580254,0.000094660034,0.00013298115,0.000022134112],"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":[0.000020788064,0.000036735084,0.001070283,0.0000026671178,0.0000072620633,1.7814521e-7,0.00085461646,0.8610103,0.00015905849,0.01703071,0.00008207399,0.119725294],"study_design_scores_gemma":[0.00022150176,0.00002246302,0.0012820386,0.000022104525,0.00001598929,0.000003823231,0.00043640044,0.97971696,0.000086489614,0.011600984,0.006455611,0.00013562998],"about_ca_topic_score_codex":0.000009707439,"about_ca_topic_score_gemma":0.000009527865,"teacher_disagreement_score":0.50966066,"about_ca_system_score_codex":0.000024571324,"about_ca_system_score_gemma":0.00006515368,"threshold_uncertainty_score":0.47433102},"labels":[],"label_agreement":null},{"id":"W2056305438","doi":"10.1109/syscon.2014.6819308","title":"Hybrid Vehicle Simulation System with discrete-event modeling and simulation","year":2014,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"DEVS; Component (thermodynamics); Discrete event simulation; Computer science; Formalism (music); Modeling and simulation; Simulation; Simulation modeling; Hybrid vehicle; Hybrid system; Unit testing; Event (particle physics); Control engineering; Engineering; Software","score_opus":0.06641090728763306,"score_gpt":0.3841072001552998,"score_spread":0.31769629286766676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056305438","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":[0.3319405,0.000005070769,0.6653596,0.00014451308,0.000013415973,0.00020140783,0.000002137238,0.00014875316,0.0021845517],"genre_scores_gemma":[0.995543,4.656627e-7,0.003980041,0.00008169912,0.00005391864,0.000018473982,0.000005776564,0.0000121544945,0.00030444382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983322,0.00008051285,0.00043967302,0.00038630437,0.0006277482,0.00013357955],"domain_scores_gemma":[0.9982229,0.00082984933,0.00013625908,0.00043330237,0.00028867822,0.00008905242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009755973,0.00010972589,0.00016220869,0.0001231767,0.00022874339,0.00021403428,0.00016072742,0.000037338195,0.000043766122],"category_scores_gemma":[0.00020397267,0.00007209729,0.0000364548,0.00024324373,0.000028984556,0.00032554602,0.00005177575,0.00005624026,0.00004671488],"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":[0.000011861865,0.000007717696,0.0010939538,0.0000026923885,0.0000020609818,1.0721239e-7,0.000032408912,0.971844,0.000041149095,0.013244708,0.000013489938,0.0137058385],"study_design_scores_gemma":[0.00022906598,0.00004389769,0.0007474244,0.000014204859,0.0000069735256,0.0000010816381,0.00012692774,0.99005765,0.0001791823,0.0072299927,0.001249631,0.00011397525],"about_ca_topic_score_codex":0.000039127783,"about_ca_topic_score_gemma":0.0000070021965,"teacher_disagreement_score":0.66360253,"about_ca_system_score_codex":0.000030299085,"about_ca_system_score_gemma":0.0000110778865,"threshold_uncertainty_score":0.2940042},"labels":[],"label_agreement":null},{"id":"W2057563142","doi":"10.1109/ds-rt.2013.25","title":"Load Prediction in HLA-Based Distributed Simulation Using Holt's Variants","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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 Ottawa","funders":"","keywords":"Computer science; High-level architecture; Distributed computing; Load balancing (electrical power); Heuristics; Dependency (UML); Operating system; Artificial intelligence","score_opus":0.1584377680824627,"score_gpt":0.4254903426926571,"score_spread":0.2670525746101944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057563142","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":[0.35888636,0.0000029575042,0.6387571,0.00031320224,0.000035708003,0.0003866955,0.00002522785,0.00011289346,0.0014798304],"genre_scores_gemma":[0.9903791,2.2788934e-7,0.008944261,0.00016883401,0.00003216943,0.000039753995,0.00002293346,0.0000066834514,0.00040602087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817157,0.00007622075,0.0005687931,0.00032676503,0.000698313,0.00015831334],"domain_scores_gemma":[0.99829555,0.00060182996,0.00014009805,0.00041265658,0.0004820332,0.00006781797],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007925887,0.00009118534,0.00012962548,0.0002016408,0.00010638153,0.00021804457,0.00022776517,0.00009254505,0.0028876774],"category_scores_gemma":[0.000556483,0.000071868286,0.000048407543,0.0011569286,0.000031457665,0.00052404957,0.00003506931,0.00007557909,0.00039519797],"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":[0.000007084077,0.000093613664,0.04345318,9.905406e-7,0.0000017980442,3.5276364e-7,0.000034657507,0.93534446,0.0019307662,0.00077997183,0.0023877185,0.015965428],"study_design_scores_gemma":[0.00024118544,0.0000112235675,0.15716028,0.0000051790403,0.0000020865682,2.5799721e-7,0.00004145102,0.82766384,0.00044712986,0.012216018,0.002144934,0.00006640906],"about_ca_topic_score_codex":0.00046394925,"about_ca_topic_score_gemma":0.000026529186,"teacher_disagreement_score":0.63149273,"about_ca_system_score_codex":0.00013238797,"about_ca_system_score_gemma":0.00008571069,"threshold_uncertainty_score":0.9980238},"labels":[],"label_agreement":null},{"id":"W2057729591","doi":"10.1109/ds-rt.2013.26","title":"Autonomous Configuration Scheme in a Distributed Load Balancing System for HLA-Based Simulations","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Computer science; Distributed computing; Load balancing (electrical power); Scheme (mathematics); High-level architecture; Load management; Engineering; Operating system","score_opus":0.0684786571746239,"score_gpt":0.37341463024513183,"score_spread":0.3049359730705079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057729591","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":[0.10774059,0.000006303724,0.8862914,0.0016425863,0.000050430972,0.0014700984,0.0000915619,0.00026343318,0.0024436133],"genre_scores_gemma":[0.982613,7.314239e-8,0.016072167,0.00018352116,0.000029810079,0.0004712118,0.000106379804,0.000008619146,0.00051521463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982204,0.000046953104,0.0007388631,0.0003509682,0.00044805327,0.00019478635],"domain_scores_gemma":[0.99708307,0.0013686863,0.00019043236,0.00045127387,0.0008309015,0.00007564947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006957586,0.00010943245,0.00019575236,0.0001798619,0.00016465163,0.00028370108,0.0002700293,0.00008968047,0.00061888923],"category_scores_gemma":[0.00085152633,0.000087248816,0.00007722008,0.0007449478,0.00002797138,0.00030565544,0.000020531204,0.00005911069,0.0002259416],"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":[0.00007251307,0.00055781007,0.06479528,0.00008145025,0.0000299201,0.000001654733,0.0004942718,0.40339664,0.061340522,0.37951604,0.03678317,0.052930735],"study_design_scores_gemma":[0.000524723,0.000019824085,0.009922568,0.00001425911,0.000002836978,3.8441675e-7,0.00025945483,0.9686551,0.0062834113,0.0056022895,0.008593099,0.00012203542],"about_ca_topic_score_codex":0.00027415535,"about_ca_topic_score_gemma":0.00011820515,"teacher_disagreement_score":0.87487245,"about_ca_system_score_codex":0.00024636512,"about_ca_system_score_gemma":0.0001622392,"threshold_uncertainty_score":0.6776403},"labels":[],"label_agreement":null},{"id":"W2059636583","doi":"10.3166/isi.16.3.85-111","title":"EcoMata, un logiciel d’aide à la décision pour améliorer la gestion des écosystèmes","year":2011,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Domain (mathematical analysis); Humanities; Computer science; Philosophy; Mathematics","score_opus":0.09690132246095709,"score_gpt":0.31738283167466685,"score_spread":0.22048150921370976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059636583","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":[0.21294,0.0013088463,0.60059404,0.0006600292,0.00073980744,0.0010314984,0.0001847834,0.00065043784,0.18189056],"genre_scores_gemma":[0.9306282,0.0006489244,0.064847425,0.0002931671,0.00012864199,0.000162557,0.00009504225,0.000037355658,0.0031586823],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950441,0.0007734127,0.002073145,0.000460074,0.0010005075,0.00064873055],"domain_scores_gemma":[0.994691,0.0019132769,0.0009621288,0.00091465545,0.001224695,0.00029425547],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00426449,0.0004977393,0.00052542513,0.0008406458,0.0009322031,0.0011310346,0.00096279447,0.0007643277,0.0025549212],"category_scores_gemma":[0.002876991,0.00044959591,0.00029960056,0.0016497264,0.0009183078,0.0066077695,0.00031033735,0.00044908025,0.0027864738],"study_design_candidate":"design_other","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":[0.000060675124,0.00017545038,0.0038541926,0.00014298692,0.000036041172,0.000008278429,0.010769496,0.0008174518,0.00010934814,0.07898822,0.006522224,0.89851564],"study_design_scores_gemma":[0.0009392939,0.00024189422,0.108140044,0.0012062987,0.00011733461,0.00038307783,0.0057347403,0.05897115,0.005469058,0.62891746,0.18895683,0.00092282705],"about_ca_topic_score_codex":0.0013120905,"about_ca_topic_score_gemma":0.00006474218,"teacher_disagreement_score":0.8975928,"about_ca_system_score_codex":0.0004954589,"about_ca_system_score_gemma":0.0002879158,"threshold_uncertainty_score":0.9999059},"labels":[],"label_agreement":null},{"id":"W2060428411","doi":"10.1038/ng.2787","title":"Thread 2: Network models","year":2013,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Simulation Techniques and Applications","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":"Nature Conservancy of Canada; University of Toronto","funders":"","keywords":"Biology; Thread (computing); Computational biology; Computer science; Operating system","score_opus":0.08584405768507898,"score_gpt":0.40051485857953045,"score_spread":0.3146708008944515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060428411","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":[0.39256817,0.005515741,0.46766457,0.0063256053,0.00086547155,0.0014004926,0.000021727363,0.00043692556,0.1252013],"genre_scores_gemma":[0.9359972,0.000049746046,0.05992727,0.001446682,0.00028459707,0.000036444042,0.0000038641388,0.000009436308,0.0022447433],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865144,0.000027353033,0.00028173957,0.00026887225,0.0005928106,0.00017777074],"domain_scores_gemma":[0.9985232,0.00024777628,0.00008740674,0.0006553171,0.00040770456,0.00007860254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003446672,0.00008288329,0.000108803935,0.000053234977,0.000109746674,0.0001717845,0.00055336254,0.00024269504,0.000766782],"category_scores_gemma":[0.000100811085,0.00005980329,0.00006033434,0.00056352234,0.00003343148,0.00010505558,0.00009383863,0.0002428151,0.0006165279],"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":[0.0000019596757,0.00003138776,0.007905875,7.99166e-7,0.0000071824666,3.5271202e-7,0.0000795096,0.091575615,0.00009606383,0.10051366,0.6070028,0.19278477],"study_design_scores_gemma":[0.000044065797,0.000009250408,0.010275673,0.0000016407183,0.0000024167946,9.5315374e-7,0.000015005598,0.0474224,0.0002811579,0.82732445,0.11454867,0.000074326694],"about_ca_topic_score_codex":0.0000043924783,"about_ca_topic_score_gemma":0.000004138588,"teacher_disagreement_score":0.7268108,"about_ca_system_score_codex":0.000010149996,"about_ca_system_score_gemma":0.000020567239,"threshold_uncertainty_score":0.8395725},"labels":[],"label_agreement":null},{"id":"W2061472533","doi":"10.2514/1.22659","title":"Interactive Design and Simulation Platform for Flight Vehicle Systems Development","year":2006,"lang":"en","type":"article","venue":"Journal of Aerospace Computing Information and Communication","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Toronto","funders":"","keywords":"Adaptability; Flight simulator; Development (topology); Systems engineering; Simulation; Engineering; Flight test; Control system; Systems design; Computer science; Aerospace engineering","score_opus":0.07602620592447233,"score_gpt":0.3717750141419536,"score_spread":0.29574880821748123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061472533","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":[0.19407457,0.00016543397,0.80474234,0.00040290045,0.000045258297,0.00032058216,0.0000010848328,0.000020979174,0.00022686973],"genre_scores_gemma":[0.91161686,0.000019984142,0.088219404,0.0000578762,0.00002708706,0.0000062017266,0.000008620209,0.0000035949936,0.00004039757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984301,0.00007308407,0.0010058779,0.00006811164,0.00033812836,0.00008473907],"domain_scores_gemma":[0.99565035,0.0017762921,0.0012909076,0.00020307943,0.0010354718,0.000043917735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353512,0.00008376528,0.0001696607,0.00021844132,0.00037651253,0.0004905629,0.00023281707,0.00005706861,0.0000021240453],"category_scores_gemma":[0.00032288337,0.00006685251,0.000033763168,0.00020615775,0.000036099987,0.0013888931,0.00007874637,0.00010893336,0.0000033256179],"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":[0.00014318293,0.000062119856,0.002329987,0.000023523437,0.000023472854,6.7871134e-8,0.0047012945,0.805717,0.0002342195,0.014988439,0.003186131,0.16859059],"study_design_scores_gemma":[0.00055527117,0.00006305381,0.010019985,0.00006061615,0.0000080389655,0.000010262194,0.0011158693,0.94171244,0.00054222683,0.0036449528,0.04217602,0.00009127616],"about_ca_topic_score_codex":0.000009441253,"about_ca_topic_score_gemma":0.0000016686408,"teacher_disagreement_score":0.71754223,"about_ca_system_score_codex":0.0000604227,"about_ca_system_score_gemma":0.00004755069,"threshold_uncertainty_score":0.47305092},"labels":[],"label_agreement":null},{"id":"W2062430203","doi":"10.1016/j.comcom.2009.09.001","title":"Implementation of MPC as an AQM controller","year":2009,"lang":"en","type":"article","venue":"Computer Communications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Active queue management; Computer science; Model predictive control; Queue; Field-programmable gate array; Control theory (sociology); Controller (irrigation); Computational complexity theory; PID controller; Network congestion; Control (management); Control engineering; Computer network; Algorithm; Embedded system; Artificial intelligence","score_opus":0.19302133217383957,"score_gpt":0.5303509478373889,"score_spread":0.33732961566354935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062430203","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":[0.1737761,0.0002031045,0.79388034,0.016388848,0.000084883024,0.0010450914,0.000040359202,0.0003071909,0.014274053],"genre_scores_gemma":[0.9305168,0.000026056372,0.068242036,0.0009975344,0.000038495138,0.000026455664,0.00003212803,0.000004773712,0.00011572081],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984151,0.0002018656,0.000666535,0.00022041811,0.00038428037,0.00011179698],"domain_scores_gemma":[0.99629766,0.000531171,0.00028747576,0.002307138,0.00049933244,0.00007721161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007473846,0.000085869746,0.00018621817,0.00019082378,0.00024031418,0.000115953495,0.0018934532,0.0000436476,0.00023173384],"category_scores_gemma":[0.000049636266,0.000074636766,0.00008945947,0.00057335227,0.00008678494,0.00030828043,0.00018757161,0.000089512854,0.00010692888],"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":[0.0000047735953,0.00020392759,0.0019508748,3.6581395e-7,0.00000786366,7.013786e-8,0.00064644334,0.00016092899,0.0007503938,0.33000517,0.004898318,0.6613709],"study_design_scores_gemma":[0.0010823391,0.00045154302,0.1974281,0.00001078099,0.000024177407,0.000006595153,0.0008462884,0.103503466,0.0019467568,0.5553224,0.13910763,0.00026989888],"about_ca_topic_score_codex":0.00007382106,"about_ca_topic_score_gemma":0.000034428867,"teacher_disagreement_score":0.7567407,"about_ca_system_score_codex":0.000018873976,"about_ca_system_score_gemma":0.00004724998,"threshold_uncertainty_score":0.35185385},"labels":[],"label_agreement":null},{"id":"W2064109301","doi":"10.5555/1030453.1030618","title":"Simulation of manufacturing operations: optimum-seeking simulation in the design and control of manufacturing systems: experience with optquest for arena","year":2002,"lang":"en","type":"article","venue":"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":"University of Calgary","funders":"","keywords":"Control (management); Manufacturing engineering; Computer science; Simple (philosophy); Industrial engineering; Engineering; Systems engineering; Management science; Artificial intelligence","score_opus":0.1544366784018609,"score_gpt":0.37680826220151853,"score_spread":0.22237158379965763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064109301","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":[0.256512,0.00004514595,0.74164116,0.0000998409,0.0000378697,0.001520045,0.000017225422,0.000030408959,0.00009629571],"genre_scores_gemma":[0.9941817,0.0000048817506,0.005421762,0.000065283726,0.00004033447,0.0002055711,0.00000820315,0.000016340644,0.00005592386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970589,0.0003015947,0.0012101947,0.00049570645,0.0007201355,0.00021341164],"domain_scores_gemma":[0.9910388,0.0071299598,0.00052544044,0.00059179927,0.00066241215,0.000051609517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013193146,0.0002250818,0.00040155643,0.0003566068,0.00019418588,0.00027962384,0.0004792089,0.000109865956,0.0000855],"category_scores_gemma":[0.0006764835,0.00015631733,0.00006719332,0.0002886076,0.00014940779,0.0007775745,0.000040772462,0.0001220975,0.0000030243214],"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":[0.00007657163,0.000049708706,0.000823224,0.000021137512,0.000009262368,3.6420275e-7,0.0031422128,0.9883766,0.00022563645,0.00042262598,0.000002070563,0.0068505914],"study_design_scores_gemma":[0.00089089223,0.00014546613,0.002624923,0.00014209718,0.000019385805,0.0000011304143,0.0011551746,0.98824555,0.0055630873,0.0007318955,0.0003048251,0.00017557405],"about_ca_topic_score_codex":0.000035076177,"about_ca_topic_score_gemma":0.000012855725,"teacher_disagreement_score":0.7376697,"about_ca_system_score_codex":0.000040375053,"about_ca_system_score_gemma":0.000023187853,"threshold_uncertainty_score":0.63744354},"labels":[],"label_agreement":null},{"id":"W2065080411","doi":"10.5555/1400549.1400698","title":"Definition of dynamic DEVS models: Dynamic Structure CD++","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Dynamic simulation; System dynamics; Distributed computing; Simulation; Modeling and simulation; Artificial intelligence","score_opus":0.15548898955052867,"score_gpt":0.3910432598688957,"score_spread":0.23555427031836704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065080411","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":[0.5891936,0.00003667633,0.38405973,0.00025218405,0.000032691005,0.00016822323,0.000056346824,0.000106577325,0.02609401],"genre_scores_gemma":[0.9272239,0.00002795902,0.071806036,0.000113492366,0.000004807042,0.000008332581,0.000021661519,0.0000071006057,0.00078670983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99851835,0.000032421747,0.00048071408,0.00026112673,0.000595985,0.00011139346],"domain_scores_gemma":[0.9987148,0.00026932562,0.00016616943,0.0005064067,0.00029586593,0.000047441168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021528083,0.00008662472,0.00016023811,0.0001885734,0.00012806134,0.000022065527,0.00036122854,0.000081256214,0.0008428995],"category_scores_gemma":[0.000116558826,0.00006359127,0.000080955906,0.00060548756,0.00009452166,0.00023558598,0.000052476134,0.00006977766,0.000058422407],"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":[0.000038613263,0.00019264135,0.003631005,0.000009652926,0.00002374558,0.000003908135,0.0009385713,0.008988849,0.015458332,0.8861796,0.006108474,0.07842658],"study_design_scores_gemma":[0.00010960786,0.000018114462,0.009475535,0.0000026610167,0.0000032270627,0.000013064318,0.000105289895,0.18953492,0.000510786,0.7997934,0.00035167072,0.00008171538],"about_ca_topic_score_codex":0.000030946616,"about_ca_topic_score_gemma":0.000078631965,"teacher_disagreement_score":0.33803034,"about_ca_system_score_codex":0.00002878642,"about_ca_system_score_gemma":0.000045195942,"threshold_uncertainty_score":0.9229158},"labels":[],"label_agreement":null},{"id":"W2065589938","doi":"10.1145/1120725.1120825","title":"XTW, a parallel and distributed logic simulator","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rollback; Computer science; Queue; Scheduling (production processes); Parallel computing; Schedule; Logic simulation; Discrete event simulation; Distributed computing; Logic gate; Real-time computing; Simulation; Computer network; Operating system; Algorithm; Database transaction; Engineering","score_opus":0.1334029327114435,"score_gpt":0.4354675055988032,"score_spread":0.3020645728873597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065589938","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":[0.09504425,0.00006533318,0.88425577,0.009420317,0.000014516322,0.00022474075,0.000023425107,0.00021577215,0.01073589],"genre_scores_gemma":[0.9768535,0.0000058092182,0.019071745,0.0009301853,0.000041574138,0.000013417132,0.000005429001,0.0000030621823,0.0030752693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990557,0.00002125495,0.000275343,0.00023904046,0.00030268225,0.000106005195],"domain_scores_gemma":[0.9990105,0.00042762395,0.0000571453,0.00031490813,0.00010757631,0.000082258186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037922192,0.00006271549,0.00010086942,0.000056590765,0.00010078931,0.000121241916,0.00020091666,0.000043638433,0.0013113416],"category_scores_gemma":[0.0002818933,0.000040914536,0.0000350177,0.0003072858,0.0000456874,0.00013867147,0.00006551068,0.0000414725,0.00036800964],"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":[0.000021423037,0.00017969849,0.02429213,0.0000013511292,0.000010351791,0.000001285183,0.00014775088,0.03949919,0.0004648379,0.5775361,0.11163593,0.24620996],"study_design_scores_gemma":[0.00025789815,0.000021459064,0.020623755,0.0000011329878,0.0000032425332,0.000002850169,0.00009286988,0.2406663,0.00020765733,0.15978603,0.5782156,0.00012119309],"about_ca_topic_score_codex":0.000006680083,"about_ca_topic_score_gemma":0.00000900649,"teacher_disagreement_score":0.8818093,"about_ca_system_score_codex":0.000010908795,"about_ca_system_score_gemma":0.000009598969,"threshold_uncertainty_score":0.9996016},"labels":[],"label_agreement":null},{"id":"W2067893241","doi":"10.5555/1030453.1030615","title":"Manufacturing modeling methods: USE of GI/G/1 queuing approximations to set tactical parameters for the simulation of MRP systems","year":2002,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Queueing theory; Computer science; Selection (genetic algorithm); Set (abstract data type); Mathematical optimization; Discrete event simulation; Lead time; Industrial engineering; Operations research; Reliability engineering; Simulation; Engineering; Mathematics; Operations management; Machine learning","score_opus":0.5912991550432051,"score_gpt":0.5019884637194577,"score_spread":0.08931069132374736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067893241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061070513,0.000018162267,0.93683255,0.0004501395,0.00013417413,0.0012674194,0.000058085527,0.000057663852,0.000111281974],"genre_scores_gemma":[0.91457033,0.000002080881,0.0849823,0.00007712197,0.00003201134,0.00011116407,0.000008099756,0.000015282665,0.00020162687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99720395,0.00024459368,0.0012945958,0.00042681873,0.0006318504,0.0001981918],"domain_scores_gemma":[0.98544735,0.011997071,0.00050640875,0.0008022111,0.0011624822,0.000084508094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014663159,0.00017098252,0.0003579406,0.00031914335,0.0001885967,0.000288881,0.00049299595,0.000102880884,0.00011609742],"category_scores_gemma":[0.003387617,0.00012488037,0.00017313397,0.00045054962,0.00006927504,0.0005813084,0.000098641474,0.00011397741,0.000014053942],"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":[0.000023091015,0.000027285552,0.00011035597,0.000012714667,0.000018171237,3.034877e-8,0.0009978093,0.97241205,0.00023410155,0.0034428348,0.00005517927,0.022666395],"study_design_scores_gemma":[0.00017405859,0.000042128577,0.00013680835,0.0000555769,0.00003328042,4.2685704e-7,0.00051504164,0.9901856,0.002190972,0.0040225657,0.002510609,0.00013293476],"about_ca_topic_score_codex":0.000061090686,"about_ca_topic_score_gemma":0.0000045539555,"teacher_disagreement_score":0.85349977,"about_ca_system_score_codex":0.000041014642,"about_ca_system_score_gemma":0.000019572686,"threshold_uncertainty_score":0.50924736},"labels":[],"label_agreement":null},{"id":"W2068917552","doi":"10.1109/ds-rt.2010.22","title":"Understanding and Building Interoperable, Integrable and Composable Distributed Training Simulations","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Ottawa","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Composability; Interoperability; Reuse; Computer science; Proof of concept; Distributed computing; Human–computer interaction; Software engineering; Systems engineering; World Wide Web; Engineering; Operating system","score_opus":0.38444864482687247,"score_gpt":0.42953620532749837,"score_spread":0.0450875605006259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068917552","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":[0.41820744,0.000008093187,0.5752798,0.00090145017,0.00004918541,0.000130109,0.000024137811,0.00009734879,0.0053024744],"genre_scores_gemma":[0.97504157,0.000003602083,0.024246262,0.000114909155,0.000022661827,0.0000060569905,0.000008572482,0.0000075890016,0.0005488072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989031,0.000029715575,0.0003391103,0.00031994822,0.00024508193,0.00016303152],"domain_scores_gemma":[0.99827635,0.0011604964,0.00007555242,0.00025963556,0.000111596724,0.00011634891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075913046,0.00010127742,0.00016346193,0.00016192338,0.0004373949,0.0005059415,0.00017962512,0.00006693524,0.0005481322],"category_scores_gemma":[0.00048005927,0.0000727061,0.00002505655,0.00045782086,0.00014284061,0.00035024222,0.000107487685,0.00020297577,0.000005528544],"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":[0.00001244174,0.000040662537,0.03422001,0.0000036352237,0.000015773729,8.6952315e-7,0.00092798215,0.0023626187,0.047557145,0.8954334,0.0031294648,0.016296001],"study_design_scores_gemma":[0.0003744488,0.000032544518,0.003556416,0.000016434022,0.000010751931,0.000018365956,0.0036585093,0.54082537,0.002813368,0.42128944,0.027177107,0.00022726545],"about_ca_topic_score_codex":0.000041990555,"about_ca_topic_score_gemma":0.00010224697,"teacher_disagreement_score":0.5568341,"about_ca_system_score_codex":0.00001975615,"about_ca_system_score_gemma":0.000018705228,"threshold_uncertainty_score":0.60016626},"labels":[],"label_agreement":null},{"id":"W2069082054","doi":"10.3182/20060607-3-it-3902.00052","title":"CODIS – A FRAMEWORK FOR CONTINUOUS/DISCRETE SYSTEMS CO-SIMULATION","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"SystemC; Computer science; Synchronization (alternating current); Continuous modelling; Discrete system; Discrete modelling; Discrete time and continuous time; Embedded system; Programming language; Mathematics; Channel (broadcasting)","score_opus":0.07174980968908412,"score_gpt":0.4175598896506542,"score_spread":0.3458100799615701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069082054","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":[0.15324858,0.00018582658,0.82876265,0.0008387924,0.00022220924,0.00186054,0.00014987482,0.0005886568,0.014142876],"genre_scores_gemma":[0.971925,0.0000025986628,0.021253366,0.000099688856,0.00043950084,0.0004046766,0.000025806796,0.00002854209,0.0058208164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974691,0.000012399586,0.00081074546,0.0005753846,0.0008113446,0.00032097756],"domain_scores_gemma":[0.99701947,0.0010507809,0.0004977836,0.00026651012,0.001080134,0.00008532402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011035106,0.0001897958,0.00035075223,0.00022241898,0.00038807708,0.00088865246,0.0005028736,0.00020161577,0.0000978787],"category_scores_gemma":[0.0013086597,0.0001589809,0.0001627931,0.0006443444,0.000096410644,0.0004557127,0.00004635353,0.00011803828,0.00014527533],"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":[0.00006851909,0.00009776506,0.07647223,0.000040603016,0.000020467174,3.726598e-7,0.0003897412,0.0066156797,0.0012347603,0.7947534,0.1074795,0.012827014],"study_design_scores_gemma":[0.00036177665,0.0000866672,0.010689202,0.000053383366,0.000022994991,0.0000029823507,0.00081183854,0.30699968,0.0013429949,0.3929114,0.28637806,0.00033900366],"about_ca_topic_score_codex":0.000089893656,"about_ca_topic_score_gemma":0.0000020433595,"teacher_disagreement_score":0.8186764,"about_ca_system_score_codex":0.000052879248,"about_ca_system_score_gemma":0.00002870771,"threshold_uncertainty_score":0.8569296},"labels":[],"label_agreement":null},{"id":"W2070054855","doi":"10.5555/1404680.1404717","title":"CD++Builder: an eclipse-based IDE for DEVS modeling","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Eclipse; Computer science; Plug-in; Discrete event simulation; Programming language; Formalism (music); Extension (predicate logic); Software; Software engineering; Modeling and simulation; Simulation","score_opus":0.35254142773030345,"score_gpt":0.5288933001858683,"score_spread":0.17635187245556488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070054855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095194876,0.000005921331,0.8939457,0.0006501197,0.000050421088,0.00032647979,0.0000068307113,0.00017183516,0.009647791],"genre_scores_gemma":[0.82381535,3.9265416e-7,0.17381042,0.0010471843,0.00017640374,0.000030683495,0.0000086123255,0.000008912587,0.001102031],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984781,0.000016546173,0.00050780573,0.00033614525,0.00045888594,0.00020249783],"domain_scores_gemma":[0.99798006,0.00088798517,0.00008117798,0.0005515361,0.0003795005,0.000119729004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002578792,0.00008164981,0.00011795626,0.00018522942,0.00020184524,0.00014091555,0.0004302814,0.000068603826,0.0004555985],"category_scores_gemma":[0.00040245394,0.00006095178,0.000091051625,0.0004039061,0.000022863287,0.00021068862,0.00002407962,0.000046411456,0.00007447216],"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":[0.00010370689,0.00025987515,0.0036822425,0.0000041674384,0.0000073020487,8.963538e-7,0.00019558278,0.1975095,0.0032962863,0.33748215,0.024508782,0.4329495],"study_design_scores_gemma":[0.0001976018,0.000033882974,0.00018696205,0.0000016511957,0.0000029510525,3.9191877e-7,0.00017726215,0.78816545,0.00492916,0.16403279,0.04217555,0.00009634324],"about_ca_topic_score_codex":0.000033579687,"about_ca_topic_score_gemma":0.00013081032,"teacher_disagreement_score":0.72862047,"about_ca_system_score_codex":0.000020697365,"about_ca_system_score_gemma":0.00004434451,"threshold_uncertainty_score":0.4988484},"labels":[],"label_agreement":null},{"id":"W2071102785","doi":"10.5555/1400549.1400700","title":"ECD++ a DEVS based real-time simulator for embedded systems","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","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; Computer science; Automaton; Formalism (music); Formal specification; Software; Embedded system; Discrete event simulation; Modeling and simulation; Real-time computing; Programming language; Simulation; Theoretical computer science","score_opus":0.22727846236733418,"score_gpt":0.4348290810459116,"score_spread":0.20755061867857744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071102785","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":[0.34160748,0.00001079122,0.65569687,0.00013052815,0.00010474248,0.0010720069,0.000035906625,0.00037650453,0.0009651821],"genre_scores_gemma":[0.96881014,0.000004012048,0.029445376,0.00013899161,0.000084468586,0.00017217374,0.00002115872,0.000034981203,0.0012886921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967911,0.0002121495,0.0010186445,0.000703044,0.0009295843,0.00034546843],"domain_scores_gemma":[0.990301,0.006782633,0.00044426197,0.0010316304,0.0012578868,0.00018258789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016962935,0.00025389515,0.00040925684,0.0003410127,0.00048797714,0.0002761868,0.00061634224,0.00015965042,0.00021000537],"category_scores_gemma":[0.0032505665,0.00022562478,0.0001896216,0.0005531535,0.00010721084,0.00041062405,0.00007351897,0.00012331757,0.00036990832],"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":[0.00003759603,0.00006649903,0.0062443744,0.000008374793,0.0000073202505,9.578523e-7,0.00021109794,0.97931534,0.00355959,0.008354826,0.00009853902,0.002095476],"study_design_scores_gemma":[0.0008162886,0.000038323018,0.01365291,0.000027501308,0.000011052498,8.685894e-7,0.000050619765,0.97652507,0.00113051,0.0014235056,0.0060484717,0.0002749048],"about_ca_topic_score_codex":0.00013756432,"about_ca_topic_score_gemma":0.0000059785493,"teacher_disagreement_score":0.62720263,"about_ca_system_score_codex":0.00008107998,"about_ca_system_score_gemma":0.00024393179,"threshold_uncertainty_score":0.9200712},"labels":[],"label_agreement":null},{"id":"W2071273455","doi":"10.1057/palgrave.jors.2600888","title":"IBM journey management library: an arena system for airport simulations","year":2000,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Air Canada","funders":"","keywords":"IBM; Purchasing; Service (business); Computer science; Customer service; Transport engineering; Operations research; Air traffic control; Engineering; Operations management; Business; Marketing","score_opus":0.2797493790220237,"score_gpt":0.5154256409100425,"score_spread":0.23567626188801882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071273455","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":[0.7843848,0.00033624136,0.08125214,0.08581426,0.0007692151,0.004916718,0.0005690796,0.000160159,0.041797392],"genre_scores_gemma":[0.9585935,0.00004961906,0.02087125,0.00037936986,0.00050664885,0.0000362443,0.000011293279,0.000015434256,0.01953665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957702,0.00032388108,0.0008467753,0.00022054213,0.0026081768,0.00023038955],"domain_scores_gemma":[0.9964802,0.0011340575,0.00023426027,0.0005304648,0.0014467232,0.00017423784],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0056422725,0.00009158662,0.00018146838,0.0001276377,0.0013125014,0.000764171,0.0013553924,0.000072446084,0.0014303738],"category_scores_gemma":[0.0003161746,0.000053204953,0.00039730858,0.0009800927,0.00012930049,0.0010997198,0.0001121042,0.00033403092,0.000035253546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013908344,0.00042374278,0.0027027861,0.000025059086,0.0001661222,0.000002711788,0.0010699969,0.1840458,0.0008779421,0.1275464,0.64792645,0.035073876],"study_design_scores_gemma":[0.0009578628,0.00019836272,0.011794214,0.000092600414,0.000029706174,0.000038847444,0.0027131473,0.19191581,0.0015538062,0.071476504,0.7190554,0.00017373681],"about_ca_topic_score_codex":0.0000032900891,"about_ca_topic_score_gemma":0.0000016555981,"teacher_disagreement_score":0.1742087,"about_ca_system_score_codex":0.0001377132,"about_ca_system_score_gemma":0.00034311003,"threshold_uncertainty_score":0.99998766},"labels":[],"label_agreement":null},{"id":"W2075879819","doi":"10.5555/1639809.1639855","title":"A grid-based DEVS approach to dynamic load balancing for large scale distributed simulations","year":2009,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"DEVS; Computer science; Distributed computing; Grid; Key (lock); Load balancing (electrical power); Computation; Discrete event simulation; Modeling and simulation; Simulation; Algorithm","score_opus":0.07811682494185994,"score_gpt":0.40887813743006757,"score_spread":0.3307613124882076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075879819","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":[0.16826484,0.000008540457,0.828771,0.0005700899,0.00008119923,0.0013144288,0.00036077024,0.00030334658,0.0003258091],"genre_scores_gemma":[0.8872123,3.0681744e-7,0.11184299,0.0005065064,0.00006529567,0.00008481211,0.00015242098,0.000018891913,0.00011647181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966782,0.000084252315,0.00093151483,0.0008396153,0.0009740134,0.00049245113],"domain_scores_gemma":[0.995242,0.0018325351,0.00029567137,0.0009865082,0.0013964708,0.00024681422],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011644239,0.00027135864,0.00036541515,0.00034145135,0.00057058426,0.00040692443,0.0006832878,0.00015182371,0.0000632836],"category_scores_gemma":[0.002888528,0.00025361052,0.00017504927,0.0011736302,0.00003149351,0.00033735254,0.00006763355,0.00015710092,0.00007723567],"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":[0.00003629953,0.00019844103,0.0048174174,0.0000052207856,0.0000038535773,1.0637794e-7,0.00024000225,0.9796669,0.0017650936,0.00415513,0.000053757463,0.009057761],"study_design_scores_gemma":[0.0008627663,0.00004902592,0.06651836,0.000025032008,0.000015479718,1.8305691e-7,0.00009756217,0.9199315,0.00062321767,0.0050718086,0.0065099946,0.0002951149],"about_ca_topic_score_codex":0.000022832925,"about_ca_topic_score_gemma":0.000055684883,"teacher_disagreement_score":0.71894747,"about_ca_system_score_codex":0.0002452264,"about_ca_system_score_gemma":0.0001971739,"threshold_uncertainty_score":0.9999916},"labels":[],"label_agreement":null},{"id":"W2077533004","doi":"10.1016/j.simpat.2008.06.012","title":"Distributed simulation of DEVS and Cell-DEVS models in CD++ using Web-Services","year":2008,"lang":"en","type":"article","venue":"Simulation Modelling Practice and Theory","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Web service; Discrete event simulation; Distributed computing; Formalism (music); Implementation; Modeling and simulation; Software engineering; Simulation; World Wide Web","score_opus":0.16455844356325144,"score_gpt":0.40841612020885887,"score_spread":0.24385767664560742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077533004","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":[0.45516634,0.00022157654,0.5438464,0.000044279084,0.000013780621,0.00018784958,0.000014990421,0.000028210985,0.00047656035],"genre_scores_gemma":[0.98683786,0.00017727265,0.012776525,0.00009118551,0.000025422414,0.0000058541414,0.000018155464,0.000015437592,0.0000523022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977564,0.00030139624,0.00080745155,0.00041984636,0.00054799084,0.00016690418],"domain_scores_gemma":[0.99249786,0.0059694014,0.00056435296,0.00035685874,0.00053523085,0.00007626895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020985466,0.00015881183,0.0002649797,0.00032628857,0.0002771397,0.00008700618,0.00016322163,0.00014053345,0.000021186735],"category_scores_gemma":[0.00036302,0.00014424356,0.00004676193,0.00064337516,0.000109781955,0.0016901097,0.00007745408,0.00015325952,0.0000037595667],"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":[0.00012839162,0.000065434484,0.00088982144,0.0000124754415,0.000005144003,0.0000010987834,0.0013239805,0.9828915,0.00024287941,0.013203211,8.8644066e-7,0.0012351538],"study_design_scores_gemma":[0.00040302874,0.000018744995,0.00015916592,0.00002057335,0.000023434113,0.0000030494878,0.0007825161,0.85023224,0.00014424132,0.1475951,0.0004876985,0.00013021594],"about_ca_topic_score_codex":0.00008309516,"about_ca_topic_score_gemma":0.0000041827534,"teacher_disagreement_score":0.53167146,"about_ca_system_score_codex":0.000026239299,"about_ca_system_score_gemma":0.000057364963,"threshold_uncertainty_score":0.5882082},"labels":[],"label_agreement":null},{"id":"W2077935043","doi":"10.5555/1400549.1400600","title":"An introduction to DEVS and distributed DEVS","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","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":"University of Ottawa","funders":"","keywords":"DEVS; Computer science; Focus (optics); Modeling and simulation; Distributed computing; Software engineering; Theoretical computer science; Simulation","score_opus":0.14856359776939412,"score_gpt":0.42912726470912377,"score_spread":0.2805636669397297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077935043","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":[0.53766036,0.000005461193,0.4610767,0.0008286538,0.000048263904,0.00020489037,0.0000094469715,0.00012681531,0.000039427065],"genre_scores_gemma":[0.9772781,0.0000046725163,0.022264501,0.000107469525,0.00018201537,0.000024089757,0.000013698693,0.000010680353,0.00011477221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981141,0.00008131677,0.000501046,0.0005771042,0.0005355373,0.00019089418],"domain_scores_gemma":[0.99786174,0.00048923504,0.00013755617,0.0007119592,0.00058984535,0.00020966363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055847433,0.00013793934,0.0001786708,0.00023503126,0.00039865635,0.00018031325,0.00032694833,0.000075376985,0.00015751879],"category_scores_gemma":[0.0014830214,0.00012470329,0.000033345237,0.00061954657,0.00008496878,0.00049610576,0.00008207993,0.000104833016,0.00012766187],"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":[0.00003935784,0.00009808936,0.13426225,0.0000028752827,0.000005933337,0.0000015751419,0.00089233636,0.73876274,0.008876275,0.0196962,0.00019851087,0.097163856],"study_design_scores_gemma":[0.00018595757,0.000039065013,0.3431448,0.000003787794,0.0000038587364,0.0000026536968,0.000093720606,0.6327193,0.0018376821,0.002806485,0.018998371,0.00016435255],"about_ca_topic_score_codex":0.00007833414,"about_ca_topic_score_gemma":0.000022436452,"teacher_disagreement_score":0.43961775,"about_ca_system_score_codex":0.000041353338,"about_ca_system_score_gemma":0.000042804302,"threshold_uncertainty_score":0.5085253},"labels":[],"label_agreement":null},{"id":"W2079320154","doi":"10.1145/500141.500257","title":"vCOM","year":2001,"lang":"en","type":"article","venue":"","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":"University of Ottawa","funders":"","keywords":"Shopping mall; Computer science; Simple (philosophy); Vendor; Architecture; Interface (matter); User interface; Human–computer interaction; World Wide Web; Operating system; Advertising","score_opus":0.3187892611641433,"score_gpt":0.5193845907073638,"score_spread":0.20059532954322046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079320154","genre_codex":"other","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":[0.07583321,0.0000063453704,0.336337,0.0034542843,0.000025988937,0.000060821305,5.267915e-7,0.00013986361,0.58414197],"genre_scores_gemma":[0.9459552,0.0000027216233,0.004667197,0.00063194236,0.000024632625,0.0000056963727,3.2837963e-7,0.0000014665359,0.048710816],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994167,0.000010000021,0.00014468224,0.000110262125,0.0002670476,0.000051276325],"domain_scores_gemma":[0.99937874,0.00020342557,0.000023208699,0.00028675678,0.00007742498,0.000030444231],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003304702,0.000022536187,0.0000361348,0.000051271887,0.000051625426,0.000062443505,0.00021492166,0.000015038122,0.007080568],"category_scores_gemma":[0.00014344219,0.000014330956,0.000026133115,0.00037419994,0.000013012578,0.00006966301,0.000025482641,0.000018025252,0.002059303],"study_design_candidate":"not_applicable","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":[0.0000021635751,0.000032088865,0.064107314,5.4870892e-8,0.0000010461466,9.1605693e-7,0.00003449008,0.00008611116,0.00034620636,0.35827175,0.18849304,0.38862482],"study_design_scores_gemma":[0.00002875169,0.0000038178637,0.018839957,1.7081526e-7,3.0114938e-7,0.0000020446769,0.000040511866,0.0028937042,0.00039320294,0.19607714,0.7816943,0.000026118032],"about_ca_topic_score_codex":0.000010745724,"about_ca_topic_score_gemma":0.0000034884226,"teacher_disagreement_score":0.870122,"about_ca_system_score_codex":0.0000035310986,"about_ca_system_score_gemma":0.0000047914364,"threshold_uncertainty_score":0.9987177},"labels":[],"label_agreement":null},{"id":"W2079706318","doi":"10.1109/ds-rt.2010.19","title":"Kiltera: A Language for Timed, Event-Driven, Mobile and Distributed Simulation","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Distributed computing; Computation; Event (particle physics); Scheduling (production processes); Perspective (graphical); Programming language; Artificial intelligence","score_opus":0.04829815776184096,"score_gpt":0.450840294439685,"score_spread":0.402542136677844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079706318","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":[0.38147646,0.000007874052,0.61699736,0.0002472632,0.000046129295,0.00052810536,0.00009238951,0.00009486922,0.0005095392],"genre_scores_gemma":[0.9844637,6.1966097e-7,0.0135809975,0.00010804752,0.000058136317,0.00015343659,0.000053725907,0.0000057963907,0.0015755557],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991552,0.000014009149,0.00026549178,0.00024183949,0.0002230567,0.00010035716],"domain_scores_gemma":[0.99839926,0.0009407364,0.00008173692,0.00032224986,0.00019035135,0.000065689084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038791212,0.00006582388,0.000099514866,0.000068836816,0.000119243436,0.00012860044,0.00016547815,0.0000603211,0.0006132018],"category_scores_gemma":[0.0004527319,0.00004754188,0.00004897315,0.00022674896,0.000036654474,0.00014559935,0.000043283035,0.00005916231,0.00005059265],"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":[0.0000759594,0.00033590398,0.019172559,0.000010887837,0.00002436416,0.0000013570648,0.0013058984,0.05279954,0.1069735,0.062279765,0.031012533,0.72600776],"study_design_scores_gemma":[0.00036799037,0.000048205227,0.0044614715,0.0000017636683,0.0000063534358,0.0000014337185,0.00020227737,0.82099825,0.003958925,0.02464537,0.14518853,0.000119430966],"about_ca_topic_score_codex":0.0000097621,"about_ca_topic_score_gemma":0.000027509992,"teacher_disagreement_score":0.7681987,"about_ca_system_score_codex":0.000005380577,"about_ca_system_score_gemma":0.000011824672,"threshold_uncertainty_score":0.671413},"labels":[],"label_agreement":null},{"id":"W2084479812","doi":"10.1177/0037549703039949","title":"A Framework for Remote Execution and Visualization of Cell-DEVS Models","year":2003,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Computer science; VRML; Visualization; Markup language; DEVS; Interface (matter); Event (particle physics); Workstation; Discrete event simulation; Variety (cybernetics); User interface; Virtual reality; Human–computer interaction; Distributed computing; Modeling and simulation; XML; Operating system; Simulation; Data mining; Artificial intelligence","score_opus":0.17567667345692237,"score_gpt":0.4692145548421131,"score_spread":0.29353788138519077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084479812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06728832,0.00004025816,0.93031245,0.000046531557,0.000041425414,0.000489711,0.000008574946,0.000045666417,0.0017270851],"genre_scores_gemma":[0.9013206,0.00000823389,0.09837301,0.000048253092,0.000019311337,0.0000106261205,0.000011967623,0.000009432524,0.00019859728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987339,0.000071037306,0.00047301146,0.00025936044,0.0003672027,0.00009551122],"domain_scores_gemma":[0.997605,0.0013033103,0.0002846643,0.00028551597,0.00048098154,0.000040496518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089298043,0.00007859147,0.00013767763,0.00016600142,0.00012276745,0.00005453798,0.000090439404,0.00011400645,0.000038551643],"category_scores_gemma":[0.0012831159,0.000070185495,0.000052856198,0.00051177863,0.000032668166,0.00027696218,0.000013797721,0.00003482629,0.000004145694],"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":[0.000019490544,0.00003019357,0.0003608937,0.000008609572,0.0000021580006,1.8719332e-8,0.00035980245,0.37502903,0.001333562,0.6076507,0.00007451544,0.015131051],"study_design_scores_gemma":[0.00012470884,0.00002118775,0.00022940626,0.0000061358037,0.0000048054453,1.0974711e-7,0.000056498928,0.50988984,0.004199613,0.48399472,0.0014290803,0.000043916058],"about_ca_topic_score_codex":0.0000055479195,"about_ca_topic_score_gemma":9.1725553e-7,"teacher_disagreement_score":0.83403224,"about_ca_system_score_codex":0.000017878896,"about_ca_system_score_gemma":0.000022851169,"threshold_uncertainty_score":0.28620815},"labels":[],"label_agreement":null},{"id":"W2084588799","doi":"10.1145/1878537.1878667","title":"Accelerating large-scale DEVS-based simulation on the cell processor","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"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; Computer science; Multi-core processor; Bottleneck; IBM; Process (computing); Programming paradigm; Software; Parallel computing; Scale (ratio); Computer architecture; Embedded system; Distributed computing; Modeling and simulation; Simulation; Operating system; Programming language","score_opus":0.13863927142631904,"score_gpt":0.426371302757813,"score_spread":0.28773203133149394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084588799","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":[0.6423775,0.0000015929795,0.278128,0.0041278787,0.000079809455,0.0005321403,0.000008845613,0.00021246994,0.074531734],"genre_scores_gemma":[0.9850793,9.531385e-8,0.009406331,0.0021349492,0.00007658771,0.00006494458,0.0000039834167,0.000008827783,0.00322497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984978,0.000041631476,0.0003553311,0.0002946955,0.0006552087,0.00015534538],"domain_scores_gemma":[0.9964656,0.0023711137,0.00015316776,0.0006174355,0.00033962145,0.000053016116],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001436239,0.00009145859,0.00008892185,0.00008616371,0.00044549268,0.0003130165,0.0005108922,0.000073842464,0.003243687],"category_scores_gemma":[0.00080238766,0.000048851594,0.000062608065,0.0005810606,0.00003295015,0.00014052834,0.000039790764,0.00019978026,0.00050395116],"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":[0.0000947957,0.0015998065,0.043804627,0.00001612005,0.000009932015,0.0000012354595,0.0020539302,0.43239334,0.07715626,0.24335943,0.05622789,0.1432826],"study_design_scores_gemma":[0.0001497225,0.000021394833,0.0022807955,0.000001852195,0.0000020496618,8.8362334e-8,0.00019425771,0.85357636,0.06349317,0.012222951,0.06796474,0.00009262624],"about_ca_topic_score_codex":0.000004777258,"about_ca_topic_score_gemma":0.000052336294,"teacher_disagreement_score":0.421183,"about_ca_system_score_codex":0.0000072652683,"about_ca_system_score_gemma":0.000044445085,"threshold_uncertainty_score":0.9976675},"labels":[],"label_agreement":null},{"id":"W2085902081","doi":"10.1109/syscon.2012.6189501","title":"A simulation System of Systems to assess military aircraft protection","year":2012,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Systems engineering; Component (thermodynamics); Key (lock); Process (computing); Software engineering; System of systems; Workflow; Variety (cybernetics); Traceability; Reusability; Software; Distributed computing; Embedded system; Engineering; Systems design; Operating system","score_opus":0.2360848685546713,"score_gpt":0.43571915174798304,"score_spread":0.19963428319331172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085902081","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":[0.16997716,0.000049890376,0.82462364,0.00010309331,0.00020143442,0.0010103955,0.000008560643,0.00017855068,0.0038472556],"genre_scores_gemma":[0.9940847,2.1884186e-7,0.0046503968,0.00002799177,0.00011239965,0.00017479353,0.0000019006209,0.000007731372,0.0009398299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810404,0.00013132629,0.0006505455,0.00021010169,0.0007472989,0.00015668944],"domain_scores_gemma":[0.99811673,0.0005815799,0.00013709378,0.00052668224,0.0005157634,0.00012216631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00202361,0.00008207592,0.0001887083,0.00026034095,0.00009013872,0.00003233923,0.00023728292,0.00007139248,0.00007533035],"category_scores_gemma":[0.0005744725,0.00006001445,0.00006570276,0.00088990905,0.000015531845,0.0003490954,0.000052674877,0.000045515982,0.00026121153],"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":[0.000035284498,0.00018254148,0.01751335,0.00007226659,0.000015400592,1.4714195e-7,0.00062824634,0.89436185,0.0072303275,0.05927596,0.0025659183,0.018118722],"study_design_scores_gemma":[0.00014543005,0.0000728274,0.022093888,0.00004689689,0.000011119237,0.000003152613,0.0022558565,0.9408363,0.0046615615,0.00051283307,0.029184693,0.00017540694],"about_ca_topic_score_codex":0.00025849004,"about_ca_topic_score_gemma":0.0000042631264,"teacher_disagreement_score":0.8241076,"about_ca_system_score_codex":0.00006673856,"about_ca_system_score_gemma":0.000017065644,"threshold_uncertainty_score":0.3357433},"labels":[],"label_agreement":null},{"id":"W2086174569","doi":"10.5555/1400549.1400712","title":"YetiSim: a C++ simulation library with execution graphs instead of coroutines","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Parallel computing; Discrete event simulation; Programming language; Graph; Threading (protein sequence); Open source; Theoretical computer science; Software","score_opus":0.16681992800054155,"score_gpt":0.3886870518100968,"score_spread":0.22186712380955523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086174569","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":[0.71521604,0.000021591366,0.2825367,0.000070067974,0.000045471734,0.00041036116,0.000014057839,0.00021970533,0.0014660179],"genre_scores_gemma":[0.9844214,0.00001453233,0.015012294,0.00006364549,0.000036275196,0.000023659815,0.000016870046,0.000025354495,0.00038602285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971635,0.00012646809,0.0009430208,0.00053250435,0.0010098695,0.00022464978],"domain_scores_gemma":[0.9959728,0.0018083383,0.0006018472,0.00079839135,0.0007073017,0.000111317066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038473975,0.00021789754,0.0003420736,0.0004613567,0.00029739496,0.000097890625,0.00048360438,0.00012642572,0.00029215115],"category_scores_gemma":[0.0007051537,0.00017426141,0.00010333163,0.0012632154,0.00024945993,0.0010146064,0.00010449691,0.00014962704,0.000048044963],"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":[0.00007055792,0.000079936624,0.21797773,0.0000065017384,0.000008551982,0.000001592021,0.00041223946,0.75991887,0.0008996831,0.008785475,0.000014258261,0.011824612],"study_design_scores_gemma":[0.00051297236,0.000064659005,0.26969734,0.00004220533,0.000010428686,0.0000018016751,0.0000907167,0.7201757,0.0029267566,0.00496683,0.00132018,0.00019045599],"about_ca_topic_score_codex":0.00007606999,"about_ca_topic_score_gemma":0.00000855065,"teacher_disagreement_score":0.2692053,"about_ca_system_score_codex":0.000022065136,"about_ca_system_score_gemma":0.00012051958,"threshold_uncertainty_score":0.7106174},"labels":[],"label_agreement":null},{"id":"W2086363322","doi":"10.1109/wsc.1990.129503","title":"A tutorial GENETIK simulation and scheduling","year":2002,"lang":"en","type":"article","venue":"1990 Winter Simulation Conference Proceedings","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Insight Design Labs (Canada)","funders":"","keywords":"Computer science; Scheduling (production processes); Job shop scheduling; Software engineering; Distributed computing; Operating system; Engineering","score_opus":0.1904163176528271,"score_gpt":0.40276096347082513,"score_spread":0.21234464581799803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086363322","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":[0.56968075,0.000069942114,0.41916588,0.0012269934,0.00028260265,0.0006448208,0.0000106928355,0.00036032748,0.00855801],"genre_scores_gemma":[0.9929633,0.000008540725,0.00515609,0.00025448378,0.00037277702,0.000037315156,0.0000044097383,0.000020947895,0.001182149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972848,0.000025580564,0.0008021653,0.0007235027,0.0008933718,0.00027053294],"domain_scores_gemma":[0.99724907,0.0006941487,0.0003546044,0.00026995264,0.0012666181,0.00016560701],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000733117,0.00023034585,0.00027586138,0.00034265692,0.00030211467,0.0009309602,0.0004060827,0.00016782928,0.0017562277],"category_scores_gemma":[0.0012786464,0.00020375133,0.00008811979,0.00065880694,0.00010977238,0.0009866451,0.00014879773,0.00018675489,0.0002481231],"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":[0.00012775521,0.0002454897,0.06068894,0.00003400065,0.00005144176,0.0000016224043,0.011612536,0.5255216,0.004276426,0.0388521,0.0024558622,0.35613227],"study_design_scores_gemma":[0.00038895386,0.00005218419,0.0027032965,0.000023103159,0.000012421099,0.0000018158097,0.00027792202,0.9486207,0.00023399624,0.019190418,0.028265437,0.00022975304],"about_ca_topic_score_codex":0.000008181362,"about_ca_topic_score_gemma":0.000001505233,"teacher_disagreement_score":0.42328256,"about_ca_system_score_codex":0.00004403738,"about_ca_system_score_gemma":0.000015134919,"threshold_uncertainty_score":0.9991563},"labels":[],"label_agreement":null},{"id":"W2086739916","doi":"10.2202/1934-2659.1119","title":"Comparing Pressure Flow Solvers for Dynamic Process Simulation","year":2008,"lang":"en","type":"article","venue":"Chemical Product and Process Modeling","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":"University of Calgary","funders":"","keywords":"Robustness (evolution); Newton's method; Nonlinear system; Flow (mathematics); Computer science; Dynamic simulation; Fidelity; Process (computing); Process simulation; Mathematical optimization; Applied mathematics; Control theory (sociology); Simulation; Mathematics; Chemistry; Physics","score_opus":0.1917644366720757,"score_gpt":0.4305938629463574,"score_spread":0.23882942627428166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086739916","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":[0.59257424,0.00029737403,0.40609747,0.00025609962,0.000028672914,0.00045317397,0.000006110148,0.00011564639,0.00017120613],"genre_scores_gemma":[0.99258524,0.00001143233,0.006928718,0.000053368927,0.00011986984,0.000114637936,0.00002663299,0.00001772577,0.00014240094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981774,0.0000116252995,0.000476608,0.00065424416,0.00046355688,0.00021654695],"domain_scores_gemma":[0.99854773,0.00022288342,0.00012889887,0.00030001797,0.0007094235,0.00009101776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048876955,0.00015120498,0.0002527267,0.000087839515,0.00035618572,0.000083763895,0.0003191,0.00007898108,0.000013672868],"category_scores_gemma":[0.00081490225,0.00012519518,0.000059097514,0.00035552043,0.00007818605,0.0003822683,0.000045241228,0.0001322304,0.0000035834753],"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":[0.000049360042,0.000034462857,0.00093663996,0.00006693684,0.0000070441906,9.8471425e-8,0.00090737274,0.9890271,0.0021656144,0.00005018314,0.00006105379,0.0066941595],"study_design_scores_gemma":[0.00023795344,0.000008579157,0.000017775747,0.000016526337,0.000016119744,0.0000032838961,0.00010686841,0.95103174,0.00973017,0.038322408,0.00034237612,0.00016616644],"about_ca_topic_score_codex":0.0000018470726,"about_ca_topic_score_gemma":3.5552253e-7,"teacher_disagreement_score":0.40001097,"about_ca_system_score_codex":0.000012696843,"about_ca_system_score_gemma":0.00005368578,"threshold_uncertainty_score":0.5105311},"labels":[],"label_agreement":null},{"id":"W20868358","doi":"10.5555/2367656.2367677","title":"Simulation-C2 interoperability through data mediation: the virtual command and control interface","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Computer science; Information exchange; Data exchange; Interface (matter); Context (archaeology); Command and control; Data modeling; Function (biology); Database; World Wide Web; Operating system","score_opus":0.2914795032761117,"score_gpt":0.46485609763056335,"score_spread":0.17337659435445163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20868358","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":[0.20537567,0.00008775727,0.78354394,0.0075493343,0.00008446393,0.00045060157,0.00006220454,0.000102797596,0.0027432477],"genre_scores_gemma":[0.99662554,0.000017965991,0.0011137039,0.0011866315,0.00007386548,0.000016321408,0.000013315096,0.0000058455034,0.00094681245],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819607,0.00017696708,0.00052609143,0.0004396039,0.0005510277,0.00011022835],"domain_scores_gemma":[0.9927607,0.005208639,0.00012707838,0.0015669019,0.00028630078,0.000050381033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013250398,0.00010224561,0.00017191027,0.000033434182,0.00044400402,0.00015266077,0.0010400504,0.000050834235,0.00076488254],"category_scores_gemma":[0.0019425364,0.000054849057,0.000030638323,0.00030411265,0.00034291644,0.0006600208,0.00038359364,0.000120626224,0.00010781183],"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":[0.00039870452,0.00081326964,0.3054643,0.000009038252,0.00018789392,0.0000049022296,0.022030855,0.17972323,0.0009795778,0.08572715,0.22694908,0.17771201],"study_design_scores_gemma":[0.00066493446,0.000067164074,0.027003588,0.0000029798457,0.00001033462,0.000007106657,0.0009901193,0.76193315,0.00027852863,0.015852377,0.19303091,0.00015880963],"about_ca_topic_score_codex":0.00006010217,"about_ca_topic_score_gemma":0.000049201433,"teacher_disagreement_score":0.7912499,"about_ca_system_score_codex":0.00001422754,"about_ca_system_score_gemma":0.0000295654,"threshold_uncertainty_score":0.83749276},"labels":[],"label_agreement":null},{"id":"W2087961384","doi":"10.1145/1878537.1878680","title":"Designing an interface for real-time and embedded DEVS","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"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; Computer science; Embedding; Formalism (music); Discrete event simulation; Interface (matter); Embedded system; Modeling and simulation; Simulation; Parallel computing; Artificial intelligence","score_opus":0.11079514068824516,"score_gpt":0.4599012031879666,"score_spread":0.3491060624997215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087961384","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":[0.50019693,0.0000014414007,0.48971307,0.00028330364,0.000027093061,0.00025861195,0.0000046966866,0.00013405397,0.009380822],"genre_scores_gemma":[0.7274439,6.8847595e-7,0.26805678,0.000066396395,0.000026179856,0.000025122254,0.0000018217688,0.000004971974,0.004374164],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992898,0.000016912163,0.0002124418,0.00023286206,0.0001590917,0.000088872905],"domain_scores_gemma":[0.9986651,0.00071147975,0.000058157628,0.00032594553,0.00016399058,0.00007532944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091482495,0.000052554504,0.00008490984,0.00006618917,0.00012057133,0.00017710417,0.0002270787,0.000049281258,0.00069420284],"category_scores_gemma":[0.00037541264,0.000037368653,0.000022680924,0.00013937637,0.000039090686,0.00020533499,0.000039168186,0.00004558815,0.00006772418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014293534,0.00003214713,0.00066280045,7.4411207e-7,0.0000025305144,8.031132e-8,0.00040083463,0.000051931762,0.86125994,0.02638415,0.011192678,0.09999787],"study_design_scores_gemma":[0.00046300635,0.00018164158,0.0036439695,0.0000039774645,0.000009756302,0.0000073541764,0.00076874933,0.22996713,0.4909913,0.21943305,0.05422421,0.0003058618],"about_ca_topic_score_codex":0.00001993222,"about_ca_topic_score_gemma":0.00003090255,"teacher_disagreement_score":0.37026864,"about_ca_system_score_codex":0.0000026243713,"about_ca_system_score_gemma":0.000014241623,"threshold_uncertainty_score":0.76010346},"labels":[],"label_agreement":null},{"id":"W2088473304","doi":"10.1109/hldvt.2006.319980","title":"EverLost: A Flexible Platform for Industrial-Strength Abstraction-Guided Simulation","year":2006,"lang":"en","type":"article","venue":"Proceedings","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Abstraction; Verilog; Heuristics; Programming language; Abstraction layer; Computer architecture; Embedded system; Software; Operating system; Field-programmable gate array","score_opus":0.2718894933623922,"score_gpt":0.438657605692974,"score_spread":0.1667681123305818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088473304","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":[0.80698615,0.00003377756,0.08782222,0.00220217,0.0003404373,0.0025826986,0.00008962731,0.001019766,0.098923154],"genre_scores_gemma":[0.98617077,0.0000011381833,0.006076969,0.00010169518,0.00048770482,0.00018503662,0.000025620386,0.000017616092,0.0069334605],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979505,0.0000028049033,0.00073007506,0.00042678727,0.000656122,0.00023371096],"domain_scores_gemma":[0.99786305,0.0006846629,0.00038769055,0.00017122636,0.0008256446,0.00006773517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009662844,0.00014071468,0.00018752363,0.00027423,0.00030817575,0.00038258903,0.00032380898,0.00016714624,0.00023826788],"category_scores_gemma":[0.0010612005,0.000119454344,0.00011761676,0.0008284972,0.000036768917,0.00074579736,0.000038079987,0.00011664782,0.00011546745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018613314,0.00042462916,0.042021707,0.00002462544,0.000027898932,3.6546587e-7,0.00039820437,0.021013793,0.0070514074,0.2703471,0.46497744,0.19352672],"study_design_scores_gemma":[0.0007160797,0.000054768258,0.004803916,0.000013058423,0.000017004844,0.0000027518195,0.00017622905,0.09595193,0.017368887,0.25947294,0.6211926,0.00022983206],"about_ca_topic_score_codex":0.000060567312,"about_ca_topic_score_gemma":0.0000032817159,"teacher_disagreement_score":0.19329688,"about_ca_system_score_codex":0.0000749942,"about_ca_system_score_gemma":0.000046506437,"threshold_uncertainty_score":0.4871207},"labels":[],"label_agreement":null},{"id":"W2091517899","doi":"10.1109/have.2010.5623959","title":"A redistribution scheme centred on communication delay for distributed virtual simulations","year":2010,"lang":"en","type":"article","venue":"","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":"University of Ottawa","funders":"","keywords":"Computer science; Distributed computing; High-level architecture; Scheme (mathematics); Performance metric; Network topology; Telecommunications network; Communications system; Overhead (engineering); Computer network; Topology (electrical circuits); Engineering","score_opus":0.11040065567917977,"score_gpt":0.41637142200652894,"score_spread":0.30597076632734915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091517899","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":[0.15620135,0.000005434816,0.83254457,0.0052313176,0.00014235915,0.0009854962,0.0014202046,0.0003381468,0.0031311407],"genre_scores_gemma":[0.9792576,0.0000010542507,0.018197244,0.00020445493,0.000064890635,0.00010701536,0.0014325746,0.000009928587,0.00072522677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983056,0.000055398657,0.0005731404,0.00035696468,0.00051741925,0.00019147141],"domain_scores_gemma":[0.99550205,0.00223212,0.00021426674,0.0011629901,0.00077797205,0.00011061014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063474075,0.000121059806,0.00015018429,0.0001315899,0.00052487024,0.00020791305,0.0006157404,0.0001440064,0.00071993563],"category_scores_gemma":[0.0028971536,0.00009699046,0.00011540206,0.00067578553,0.00009363066,0.0002284177,0.000076418735,0.00019212528,0.00012890117],"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":[0.00004696564,0.00019752824,0.0007051496,5.6135826e-7,0.00000769254,7.087472e-8,0.00005895053,0.0014753215,0.011553011,0.9364595,0.03618794,0.013307352],"study_design_scores_gemma":[0.000853477,0.00010511685,0.0037133829,0.0000058488135,0.000012289405,0.000001706231,0.00024350322,0.45877856,0.012806575,0.18532124,0.3379089,0.0002493994],"about_ca_topic_score_codex":0.000011370616,"about_ca_topic_score_gemma":0.00005732162,"teacher_disagreement_score":0.8230563,"about_ca_system_score_codex":0.00004046715,"about_ca_system_score_gemma":0.000047637615,"threshold_uncertainty_score":0.78827906},"labels":[],"label_agreement":null},{"id":"W2092155949","doi":"10.1177/875647930500200302","title":"Creating Spatially-Shaped Defense Models Using DEVS and Cell-DEVS","year":2005,"lang":"en","type":"article","venue":"The Journal of Defense Modeling and Simulation Applications Methodology Technology","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Composability; Rotation formalisms in three dimensions; Computer science; Modeling and simulation; Distributed computing; Battlefield; Field (mathematics); Systems engineering; Simulation; Engineering","score_opus":0.2892254668490563,"score_gpt":0.4481020836858837,"score_spread":0.1588766168368274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092155949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29561937,0.000887121,0.70145893,0.0014109175,0.000024305506,0.00031937586,0.0000043070613,0.00007279154,0.00020287679],"genre_scores_gemma":[0.6619421,0.00016996112,0.337512,0.00018336736,0.000105539686,0.000016911461,0.0000011513682,0.000017318165,0.000051623116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966416,0.0006718507,0.001570141,0.0003832305,0.00045591124,0.00027730482],"domain_scores_gemma":[0.9918352,0.0050664693,0.0011266632,0.0006919438,0.0011628018,0.000116962496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065736244,0.00023192017,0.0005361191,0.00093196053,0.00077646034,0.000089311,0.00058678834,0.00035954014,0.00002186641],"category_scores_gemma":[0.001340305,0.00016671575,0.00010156022,0.0009985073,0.00033219592,0.00032760526,0.00021115963,0.0005116106,0.0000056709255],"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":[0.0000507668,0.000036482597,0.00026324703,0.000003138342,0.000017793507,3.4232167e-7,0.0005397044,0.9246375,0.0041297274,0.017953742,0.0000072497733,0.05236029],"study_design_scores_gemma":[0.00037664268,0.000045557343,0.00001508318,0.00000893887,0.00009714639,0.00015032828,0.00077536504,0.7945681,0.00042822293,0.20231172,0.0010918967,0.00013096484],"about_ca_topic_score_codex":0.000023305896,"about_ca_topic_score_gemma":0.00001135449,"teacher_disagreement_score":0.3663228,"about_ca_system_score_codex":0.00005501727,"about_ca_system_score_gemma":0.00009332364,"threshold_uncertainty_score":0.67984706},"labels":[],"label_agreement":null},{"id":"W2092733256","doi":"10.5555/1400549.1400613","title":"A formal framework for stochastic DEVS modeling and simulation","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","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":"DEVS; Computer science; Formalism (music); Discrete event simulation; Formal specification; Extension (predicate logic); Theoretical computer science; Formal methods; Stochastic process; Formal verification; Modeling and simulation; Distributed computing; Programming language; Mathematics; Simulation","score_opus":0.26766317709326504,"score_gpt":0.45204128987216674,"score_spread":0.1843781127789017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092733256","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":[0.39226362,0.000018308972,0.60698014,0.000066788256,0.00004638043,0.00046242148,0.0000073337283,0.00011380595,0.000041223324],"genre_scores_gemma":[0.8809768,0.00000321202,0.11870182,0.0000821592,0.00008641204,0.00006770853,0.0000051142324,0.000018641773,0.0000581201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978268,0.000044084318,0.0007186627,0.0005224905,0.00058338733,0.0003045671],"domain_scores_gemma":[0.9941442,0.004233344,0.00023811634,0.00050560635,0.00074855157,0.00013016038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071912666,0.00018561097,0.00025286947,0.00024965053,0.0006979187,0.00017052086,0.0002961262,0.0001533959,0.000049894817],"category_scores_gemma":[0.00417501,0.00017005467,0.00008907776,0.00034947947,0.00008496596,0.00067568885,0.00010669211,0.00015399542,0.000031951662],"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":[0.000029596798,0.000020218054,0.0019300724,0.0000038602066,0.0000040766067,1.6557746e-7,0.00048926566,0.9538003,0.00006347334,0.025638586,8.777763e-7,0.018019516],"study_design_scores_gemma":[0.00037102652,0.000027256796,0.0051225256,0.000024341922,0.000009576655,9.977472e-7,0.00009387111,0.9115442,0.000051028757,0.08241742,0.00014840803,0.00018935608],"about_ca_topic_score_codex":0.000032963475,"about_ca_topic_score_gemma":0.0000056375247,"teacher_disagreement_score":0.4887132,"about_ca_system_score_codex":0.000037470836,"about_ca_system_score_gemma":0.000061588486,"threshold_uncertainty_score":0.6934628},"labels":[],"label_agreement":null},{"id":"W2096104829","doi":"10.1007/978-3-642-17931-0_6","title":"Distributed Simulation Using RESTful Interoperability Simulation Environment (RISE) Middleware","year":2011,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Interoperability; Middleware (distributed applications); Computer science; Container (type theory); Web service; High-level architecture; Distributed computing; Plug-in; Software engineering; World Wide Web; Operating system; Engineering","score_opus":0.3560996802586948,"score_gpt":0.3820449494172167,"score_spread":0.025945269158521855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096104829","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":[0.0050858543,0.0017000625,0.8283866,0.000121408535,0.0009203479,0.0040989835,0.0022847955,0.00094291766,0.15645905],"genre_scores_gemma":[0.8674071,0.00014165234,0.00058547774,0.000047525264,0.00027228467,0.00005743914,0.0006618824,0.00011611854,0.13071054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934347,0.00028415362,0.0027587363,0.0015282353,0.0016041183,0.00039003944],"domain_scores_gemma":[0.99412054,0.0013515437,0.0015446852,0.0023226463,0.00036014686,0.000300432],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00080139784,0.00071212783,0.00093756017,0.0005688629,0.00029247566,0.000589703,0.0013947347,0.0008865396,0.0068360656],"category_scores_gemma":[0.0002213821,0.00058324885,0.00036391293,0.0002202153,0.00023563247,0.0011549378,0.00056904356,0.0006357979,0.0019192549],"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":[0.0001373379,0.00013801326,0.0015444407,0.00009110754,0.00010116143,0.000013235358,0.00041012373,0.91731524,0.000026253161,0.050992858,0.0014184335,0.027811786],"study_design_scores_gemma":[0.00008917771,0.00008183474,0.00020847943,0.0003835924,0.00005281793,0.0000040770765,0.00008633641,0.33612782,0.00013962117,0.060062893,0.60212576,0.0006375847],"about_ca_topic_score_codex":0.000065672844,"about_ca_topic_score_gemma":0.0000015228543,"teacher_disagreement_score":0.8623212,"about_ca_system_score_codex":0.00030423512,"about_ca_system_score_gemma":0.0001362899,"threshold_uncertainty_score":0.9996619},"labels":[],"label_agreement":null},{"id":"W2096117819","doi":"10.5555/1999416.1999459","title":"Creation of DEVS models using imitation learning","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Formalism (music); Imitation; Artificial intelligence; Modeling and simulation; Simulation","score_opus":0.2674039785972962,"score_gpt":0.48748157468622205,"score_spread":0.22007759608892585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096117819","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":[0.43565875,0.000001308896,0.54334307,0.000067521454,0.000021036762,0.000062008774,5.527789e-7,0.000035048295,0.020810712],"genre_scores_gemma":[0.9241157,7.7539033e-7,0.07477014,0.00002208278,0.000018378905,0.000003955001,0.0000025085133,0.0000035964836,0.0010628615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908113,0.000027013515,0.00032354108,0.00013864264,0.0003728305,0.000056845878],"domain_scores_gemma":[0.9988115,0.00038018674,0.00016676841,0.00020767558,0.00040687763,0.000027000731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007599591,0.000039529295,0.000076266624,0.00014293278,0.00009200564,0.000051340485,0.0001475763,0.00004821623,0.00044613268],"category_scores_gemma":[0.0005367438,0.000030579035,0.000038599443,0.00039355626,0.00003417033,0.00031191,0.000024430872,0.000079778336,0.000017425373],"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":[0.0000068751765,0.00004215987,0.010481812,0.0000014662634,0.0000033859683,6.5002595e-8,0.0005238694,0.18303025,0.22121748,0.45447963,0.0003065835,0.12990642],"study_design_scores_gemma":[0.00005039826,0.000007867709,0.0018353298,0.0000012581589,0.0000025498907,6.517281e-7,0.00019434036,0.81640214,0.017640816,0.16237964,0.0014464712,0.000038520317],"about_ca_topic_score_codex":0.00006676429,"about_ca_topic_score_gemma":0.000017676846,"teacher_disagreement_score":0.6333719,"about_ca_system_score_codex":0.0000056228596,"about_ca_system_score_gemma":0.000024218683,"threshold_uncertainty_score":0.488484},"labels":[],"label_agreement":null},{"id":"W2096977665","doi":"10.1061/(asce)0733-9364(2003)129:2(173)","title":"Object-oriented Simulation Model for Earthmoving Operations","year":2003,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Component (thermodynamics); Process (computing); Software; Object (grammar); Discrete event simulation; Component Object Model; Computer science; Object-oriented programming; Engineering; Simulation software; Event (particle physics); Orientation (vector space); Simulation; Operating system","score_opus":0.042176040108512884,"score_gpt":0.339975003183009,"score_spread":0.2977989630744961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096977665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035522074,0.000034983575,0.96363324,0.00009145816,0.00017596928,0.00017816768,0.000002032017,0.000021265272,0.00034080216],"genre_scores_gemma":[0.76980734,0.000026124102,0.22981364,0.000021753369,0.000026205786,0.0000093257195,4.5427166e-7,0.000004607423,0.00029057264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991135,0.000013858239,0.00044267374,0.00010340451,0.00025166923,0.00007490555],"domain_scores_gemma":[0.999272,0.00014089074,0.000120794255,0.00011244699,0.0003039271,0.00004995946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070801296,0.0000618985,0.000110983616,0.0002880008,0.00010342812,0.000086211425,0.000062096056,0.000026044949,0.000012441207],"category_scores_gemma":[0.0002864182,0.000052511285,0.00005930677,0.00022453743,0.000014757738,0.00022141937,0.000010905025,0.000048966795,8.8459973e-7],"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":[0.000003158785,0.0000070727283,0.000057002897,0.000004329502,0.0000116740175,1.9411613e-7,0.000044618188,0.8766216,0.000111144116,0.11215034,0.00008229031,0.010906556],"study_design_scores_gemma":[0.00029277088,0.000019748699,0.0002478273,0.000011735051,0.000018747602,0.000016528755,0.00016175726,0.96646404,0.00015917677,0.004380018,0.028171841,0.0000557784],"about_ca_topic_score_codex":2.5974433e-7,"about_ca_topic_score_gemma":3.6302134e-7,"teacher_disagreement_score":0.73428524,"about_ca_system_score_codex":0.000019944588,"about_ca_system_score_gemma":0.000014297422,"threshold_uncertainty_score":0.2141348},"labels":[],"label_agreement":null},{"id":"W2097596696","doi":"10.1109/ds-rt.2007.19","title":"Efficient Load Balancing Schemes for Large-Scale Real-Time HLA/RTI Based Distributed Simulations","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Ottawa","funders":"","keywords":"Computer science; Distributed computing; Scheduling (production processes); Prioritization; Load balancing (electrical power); Quality of service; High-level architecture; Architecture; Response time; Real-time computing; Computer network; Operating system; Interoperability","score_opus":0.04652633293123748,"score_gpt":0.3921165006845607,"score_spread":0.34559016775332324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097596696","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":[0.15278988,0.0000063977263,0.8409277,0.00066662603,0.000044816843,0.0006199967,0.00034175784,0.00031490915,0.004287877],"genre_scores_gemma":[0.93508375,2.9739795e-7,0.062375344,0.00025539903,0.000067691086,0.000035210764,0.00013518384,0.000014757165,0.0020323622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973702,0.000031689047,0.00078604504,0.0004976252,0.0009080653,0.0004063754],"domain_scores_gemma":[0.99475694,0.0032265382,0.00021099829,0.0007063919,0.00093253504,0.00016658819],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028487637,0.00014925642,0.00022959393,0.00018932892,0.00043680173,0.00014940309,0.00039010815,0.000109475826,0.0014384288],"category_scores_gemma":[0.0014130761,0.00011739646,0.000170903,0.0011434255,0.000040213854,0.000075988086,0.00006607164,0.00007173837,0.00021827544],"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":[0.00040260854,0.0025559375,0.04910108,0.00002984727,0.000061013918,0.000004426688,0.00079845136,0.5742155,0.11166861,0.09747444,0.12326557,0.040422548],"study_design_scores_gemma":[0.00054907013,0.000025706473,0.0060056276,0.0000064647206,0.00001002158,3.476295e-7,0.00013659484,0.868738,0.012278055,0.0031139078,0.10897302,0.00016319191],"about_ca_topic_score_codex":0.000023653929,"about_ca_topic_score_gemma":0.000051639174,"teacher_disagreement_score":0.78229386,"about_ca_system_score_codex":0.00012361587,"about_ca_system_score_gemma":0.000111607136,"threshold_uncertainty_score":0.9994744},"labels":[],"label_agreement":null},{"id":"W2098320115","doi":"10.5555/1516744.1517073","title":"A simulation based system for analysis and design of production control systems","year":2008,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Production (economics); Computer science; Variety (cybernetics); Production control; Authorization; Control system; Control (management); Simulation modeling; Systems engineering; Control engineering; Engineering","score_opus":0.22068435363705455,"score_gpt":0.399706588633561,"score_spread":0.17902223499650646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098320115","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":[0.039049506,0.00002109017,0.9591237,0.00011673882,0.00010954581,0.0013730971,0.000043738262,0.00010474133,0.000057877933],"genre_scores_gemma":[0.9934779,7.305908e-7,0.0060532545,0.00002367493,0.000057355413,0.0001386751,0.00001661215,0.000009968861,0.0002218665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976553,0.00023344278,0.00090532703,0.00049779634,0.0005729698,0.0001352084],"domain_scores_gemma":[0.99223524,0.004600585,0.00059099554,0.0005254464,0.0019804554,0.00006729024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013004733,0.00014472168,0.00042487707,0.0005912709,0.00020285902,0.000099402416,0.00021550457,0.00009385811,0.000032785396],"category_scores_gemma":[0.0016875512,0.00012095929,0.00013495483,0.0010020854,0.0000978114,0.00028827583,0.000017642104,0.000049383343,0.000006498066],"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":[0.000099787096,0.000026227573,0.007449608,0.000016080114,0.000047722428,1.4273635e-7,0.0001607045,0.98948056,0.00048959395,0.00088440295,0.000021909516,0.0013232512],"study_design_scores_gemma":[0.0005240217,0.00006804919,0.006699857,0.000025502606,0.00013008475,5.8266284e-7,0.00011310462,0.9909328,0.0007102996,0.00036163913,0.0003136198,0.00012038841],"about_ca_topic_score_codex":0.00002090377,"about_ca_topic_score_gemma":0.0000026199841,"teacher_disagreement_score":0.9544284,"about_ca_system_score_codex":0.0000422344,"about_ca_system_score_gemma":0.00006792672,"threshold_uncertainty_score":0.49325767},"labels":[],"label_agreement":null},{"id":"W2099251423","doi":"10.1109/ds-rt.2011.17","title":"Predictive Dynamic Load Balancing for Large-Scale HLA-based Simulations","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Computer science; Scale (ratio); Physics","score_opus":0.08606744784729678,"score_gpt":0.39561076817710367,"score_spread":0.3095433203298069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099251423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023575475,0.000008547368,0.95883954,0.0002595077,0.00006670351,0.0006528768,0.00020990886,0.00024475437,0.016142705],"genre_scores_gemma":[0.92712826,3.619865e-7,0.069587395,0.00036605375,0.000022591987,0.00011686496,0.00002224081,0.000011721529,0.0027445392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998406,0.00003275842,0.00044650445,0.00038920692,0.000511229,0.00021431792],"domain_scores_gemma":[0.99759674,0.00095596485,0.00013871554,0.00055857905,0.00066178915,0.0000882371],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008221047,0.00010359486,0.00015307199,0.0001435077,0.0002710709,0.000062597006,0.00036954443,0.00007772282,0.0017697337],"category_scores_gemma":[0.00053422473,0.00007976974,0.00012294625,0.00051291916,0.000034408025,0.00019544827,0.00004392996,0.00005907451,0.00011602763],"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":[0.0009886138,0.004561083,0.28447485,0.000054901797,0.00018798202,0.0000040578348,0.017082855,0.15323581,0.011540703,0.29494202,0.11155022,0.12137689],"study_design_scores_gemma":[0.0003994247,0.00006052347,0.014173066,0.000004216964,0.000010667281,2.394814e-7,0.00034130408,0.9011162,0.0020773448,0.065089166,0.016614996,0.00011288488],"about_ca_topic_score_codex":0.000024758496,"about_ca_topic_score_gemma":0.00020135804,"teacher_disagreement_score":0.9035528,"about_ca_system_score_codex":0.00006864623,"about_ca_system_score_gemma":0.00010415041,"threshold_uncertainty_score":0.99914277},"labels":[],"label_agreement":null},{"id":"W2099806728","doi":"10.5555/1161734.1161778","title":"Modeling and simulation of hardware/software systems with CD++","year":2004,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"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; Reuse; Computer science; Modular design; Component (thermodynamics); Abstraction; Hardware-in-the-loop simulation; Software; Component-based software engineering; Embedded system; Software development; Software engineering; Computer architecture; Programming language; Modeling and simulation; Simulation","score_opus":0.13666695042490004,"score_gpt":0.38840678248491156,"score_spread":0.2517398320600115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099806728","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":[0.27062264,0.000027824508,0.72845984,0.00011021151,0.00004070632,0.00030448815,0.00001483565,0.000087129665,0.00033236024],"genre_scores_gemma":[0.99328583,0.000002378958,0.0063812737,0.00004781917,0.00003558779,0.000019647161,0.00001094333,0.000013798201,0.00020271285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979641,0.000055335804,0.0006911235,0.00043601633,0.0007086565,0.00014476405],"domain_scores_gemma":[0.9973201,0.00056969404,0.00025823692,0.00050571264,0.001260746,0.00008548549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004728022,0.00015514542,0.0002713398,0.00022987704,0.00012167671,0.00022257793,0.00027566112,0.00008737774,0.00007803165],"category_scores_gemma":[0.0004490158,0.000117794625,0.00004761813,0.00042205807,0.00008405215,0.0004981727,0.000069025926,0.000094098905,0.000021789281],"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":[0.000029324583,0.000021828424,0.0023709836,0.000007407032,0.0000067294986,3.6667922e-7,0.000427356,0.98885894,0.000062621206,0.0036760038,0.0000031678608,0.0045352774],"study_design_scores_gemma":[0.00047305817,0.00007189305,0.001586741,0.00009393651,0.000011476573,0.0000017949329,0.00025261586,0.9838648,0.00012383633,0.01294424,0.0004319952,0.00014360133],"about_ca_topic_score_codex":0.000069728674,"about_ca_topic_score_gemma":0.000022359143,"teacher_disagreement_score":0.7226632,"about_ca_system_score_codex":0.000035473036,"about_ca_system_score_gemma":0.00007408659,"threshold_uncertainty_score":0.48035252},"labels":[],"label_agreement":null},{"id":"W2100194383","doi":"10.5555/1995456.1995620","title":"Using genetic algorithms to limit the optimism in time warp","year":2009,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"Computer science; Heuristic; Construct (python library); Genetic algorithm; Algorithm; Limit (mathematics); Time limit; Window (computing); Quality (philosophy); Mathematical optimization; Artificial intelligence; Machine learning; Mathematics; Engineering","score_opus":0.24972907077821813,"score_gpt":0.451901051005938,"score_spread":0.2021719802277199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100194383","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":[0.14662936,0.000010928009,0.8454663,0.0052200006,0.000055564797,0.00049051986,0.000006829175,0.000073039635,0.0020474128],"genre_scores_gemma":[0.97111076,7.660442e-7,0.025595816,0.0017555859,0.0000686927,0.000011727237,0.0000026703683,0.0000068700906,0.0014470917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805427,0.00010590976,0.00058712764,0.00041104716,0.00064177456,0.00019988017],"domain_scores_gemma":[0.998222,0.000566729,0.00012868104,0.0006482662,0.00034693346,0.00008741401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006653956,0.00013146581,0.00017339479,0.00023432911,0.00012525768,0.00036329296,0.0008213556,0.00006919244,0.0006722644],"category_scores_gemma":[0.0003618417,0.000092045506,0.00006518547,0.0007994596,0.000037413003,0.00019496042,0.00009273884,0.0001177638,0.00058595464],"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":[0.000013446054,0.00004431423,0.0013272007,2.8927977e-7,0.0000020565612,0.000001300248,0.0007036167,0.8779254,0.0012327998,0.0007765516,0.000653152,0.1173199],"study_design_scores_gemma":[0.00014137864,0.000041463645,0.035861667,0.0000139096255,0.0000033973545,0.0000016200622,0.00004167063,0.93129456,0.00027445587,0.018921282,0.013278456,0.00012616564],"about_ca_topic_score_codex":0.000014220475,"about_ca_topic_score_gemma":0.0000041618946,"teacher_disagreement_score":0.8244814,"about_ca_system_score_codex":0.000046911482,"about_ca_system_score_gemma":0.00004218468,"threshold_uncertainty_score":0.7531457},"labels":[],"label_agreement":null},{"id":"W2100852009","doi":"10.1109/tpds.2008.54","title":"An Efficient Adaptive Transmission Control Scheme for Large-Scale Distributed Simulation Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Distributed computing; Scheme (mathematics); Transmission (telecommunications); Grid; Protocol (science); Throughput; Scale (ratio); Implementation; Data transmission; Real-time computing; Computer network; Wireless; Operating system","score_opus":0.053182541838355246,"score_gpt":0.3564835591237506,"score_spread":0.3033010172853954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100852009","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":[0.011945614,0.00019150515,0.9784547,0.00029658718,0.00025956266,0.002293925,0.006192543,0.000318117,0.00004745938],"genre_scores_gemma":[0.9976591,0.000009536137,0.001312103,0.00006396264,0.00008053634,0.0004030697,0.0003070492,0.000018979963,0.00014568376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965309,0.00026271868,0.001099336,0.0008217908,0.0008347386,0.00045052276],"domain_scores_gemma":[0.9970491,0.00089140085,0.00033234668,0.0006742373,0.00067242683,0.0003805071],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012060588,0.00033387306,0.000573566,0.00023093529,0.0008550183,0.0004444959,0.00035084863,0.0002816036,0.00002342407],"category_scores_gemma":[0.000031662246,0.00026474523,0.00022444065,0.00070986873,0.00005244691,0.00028118104,0.0000010209202,0.00019698011,0.000022087033],"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":[0.0004024309,0.00052333885,0.000025624258,0.000009675464,0.000021579915,7.915935e-7,0.00012814646,0.99384403,0.00053997996,0.0017480485,0.00037080588,0.0023855567],"study_design_scores_gemma":[0.0023000233,0.0005244585,0.00055272784,0.000049859078,0.000054741427,0.0000062311988,0.0010058878,0.98576397,0.00008335095,0.00054804684,0.008792832,0.00031789087],"about_ca_topic_score_codex":0.000034608423,"about_ca_topic_score_gemma":0.0000037399163,"teacher_disagreement_score":0.9857135,"about_ca_system_score_codex":0.000104376,"about_ca_system_score_gemma":0.000052865096,"threshold_uncertainty_score":0.99998045},"labels":[],"label_agreement":null},{"id":"W2100886582","doi":"10.1109/ds-rt.2006.28","title":"Performance Analysis of an Adaptive Dynamic Grid-Based Approach to Data Distribution Management","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Computer science; Overhead (engineering); Matching (statistics); Grid; Scheme (mathematics); Distribution management system; Distributed computing; Volume (thermodynamics); Real-time computing; Engineering; Mathematics","score_opus":0.1175081192674008,"score_gpt":0.4022266568512279,"score_spread":0.2847185375838271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100886582","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":[0.14999132,0.0000018649632,0.83454406,0.000081122096,0.000009015078,0.00025265376,0.0004916805,0.0000507484,0.014577523],"genre_scores_gemma":[0.9380486,6.2872766e-7,0.05878262,0.000046636684,0.000008266409,0.00003018925,0.0025269028,0.0000029126738,0.00055325637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983856,0.00003637258,0.00041297745,0.00044988983,0.000611222,0.000103902596],"domain_scores_gemma":[0.9981528,0.00008632923,0.00012451533,0.0014234027,0.00016889044,0.000044045933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089739123,0.0000721684,0.00016387715,0.00033283758,0.00008334605,0.000053034975,0.00089045486,0.000027198645,0.00010716235],"category_scores_gemma":[0.000020721223,0.000054116725,0.00005284328,0.0030849052,0.000032253938,0.00022811351,0.00014767544,0.000027051625,0.000019486579],"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":[0.000059751226,0.0007479313,0.008095931,0.0000053706917,0.00010644937,2.529063e-7,0.00001972505,0.8472436,0.00010773565,0.039736405,0.0115094995,0.092367314],"study_design_scores_gemma":[0.000060106144,0.000025310796,0.16038245,0.0000010084366,0.000084946296,4.5805276e-8,0.00007910491,0.8357968,0.00018533062,0.0004723716,0.0028519724,0.000060599887],"about_ca_topic_score_codex":0.00013000128,"about_ca_topic_score_gemma":0.000067493726,"teacher_disagreement_score":0.78805727,"about_ca_system_score_codex":0.000035585028,"about_ca_system_score_gemma":0.000010852391,"threshold_uncertainty_score":0.22068161},"labels":[],"label_agreement":null},{"id":"W2100937320","doi":"10.5555/1995456.1995889","title":"Simulation of large wireless sensor networks using Cell-DEVS","year":2009,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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; University of Ottawa","funders":"","keywords":"Wireless sensor network; DEVS; Computer science; Key distribution in wireless sensor networks; Mobile wireless sensor network; Wireless; Wireless ad hoc network; Formalism (music); Computer network; Topology control; Distributed computing; Wireless network; Real-time computing; Embedded system; Modeling and simulation; Simulation; Telecommunications","score_opus":0.1398553753932603,"score_gpt":0.431091446718514,"score_spread":0.29123607132525375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100937320","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":[0.26108485,0.000012294453,0.73675257,0.0001320903,0.00008302181,0.00028630177,0.00001577417,0.0000872673,0.0015458257],"genre_scores_gemma":[0.9953415,0.0000017193602,0.0036887391,0.0003048984,0.00010530414,0.000003459093,0.000018544175,0.0000125227125,0.00052331446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972876,0.00014590946,0.0010433707,0.00048957544,0.00076479395,0.0002687539],"domain_scores_gemma":[0.9959336,0.0013587133,0.00060062035,0.00071157445,0.0012937924,0.00010171253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081335683,0.00019785139,0.00033987235,0.0002728044,0.00017381253,0.00017546662,0.00047480076,0.00016213131,0.00066262117],"category_scores_gemma":[0.00036807952,0.00017470769,0.00014926832,0.00078046933,0.00005607719,0.0004577312,0.00006888569,0.00015285393,0.00004425573],"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":[0.00002700673,0.00008014648,0.0020699196,0.0000019007367,0.000003241294,4.3667265e-7,0.0002639499,0.98110276,0.0013470621,0.001980873,0.0000502338,0.01307247],"study_design_scores_gemma":[0.00038401966,0.00005379957,0.005597208,0.000027094526,0.000012595993,4.0254542e-7,0.00014832309,0.9857847,0.0014454818,0.004571374,0.0017890391,0.00018594747],"about_ca_topic_score_codex":0.00000779909,"about_ca_topic_score_gemma":0.0000034594998,"teacher_disagreement_score":0.7342566,"about_ca_system_score_codex":0.000041121515,"about_ca_system_score_gemma":0.00005389565,"threshold_uncertainty_score":0.7255237},"labels":[],"label_agreement":null},{"id":"W2102480555","doi":"10.5555/1639809.1655375","title":"Hybrid modeling of opto-electrical interfaces using DEVS and modelica","year":2009,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","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":"Polytechnique Montréal; Carleton University","funders":"","keywords":"Modelica; DEVS; Computer science; Hybrid system; Transmitter; Implementation; Abstraction; Formalism (music); Interface (matter); Electronic engineering; Modeling and simulation; Simulation; Programming language; Engineering; Parallel computing; Telecommunications","score_opus":0.06028388824162775,"score_gpt":0.34486989923311223,"score_spread":0.2845860109914845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102480555","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":[0.43391323,0.0003979863,0.5640007,0.0008994459,0.000011059151,0.00027814513,0.000012653288,0.00017320838,0.00031357093],"genre_scores_gemma":[0.85282665,0.00007813813,0.14626305,0.00063409423,0.000036607133,0.00003523244,0.000003450717,0.000019078707,0.00010372558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971776,0.00010703196,0.0009900559,0.0005644971,0.0007333864,0.00042742927],"domain_scores_gemma":[0.99794817,0.00027780802,0.00032340625,0.0008487675,0.00037214096,0.00022972358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012723635,0.00024672615,0.00044929903,0.0006640482,0.00023317231,0.00023111104,0.0007143293,0.00015898023,0.000030048444],"category_scores_gemma":[0.0005634959,0.00021629069,0.00013734029,0.00084177736,0.000083151484,0.00042943232,0.00017115785,0.0002723687,0.000004492375],"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":[0.00016942053,0.00042219667,0.0066546146,0.000008768896,0.000032818116,0.0000099262625,0.00035230414,0.42071193,0.07228901,0.09915292,0.001302318,0.39889374],"study_design_scores_gemma":[0.00016670315,0.00009810789,0.00088626804,0.000018349023,0.000014952269,0.000046200825,0.000041985455,0.88896626,0.021253757,0.087997325,0.00030996912,0.00020014787],"about_ca_topic_score_codex":0.0011011016,"about_ca_topic_score_gemma":0.00003647042,"teacher_disagreement_score":0.4682543,"about_ca_system_score_codex":0.00013349851,"about_ca_system_score_gemma":0.00012722431,"threshold_uncertainty_score":0.88200784},"labels":[],"label_agreement":null},{"id":"W2103179846","doi":"10.1109/anss.2005.18","title":"Design and Implementation of a Library of Network Protocols in CD++","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Formalism (music); Discrete event simulation; Modeling and simulation; Distributed computing; Block (permutation group theory); Object-oriented modeling; Software engineering; Simulation; Programming language; Software","score_opus":0.15701101499609163,"score_gpt":0.48870212505471367,"score_spread":0.33169111005862206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103179846","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":[0.27981207,0.00003651279,0.6857957,0.0023154665,0.0000070967244,0.023820292,0.0000070634883,0.000075524295,0.008130266],"genre_scores_gemma":[0.8481471,0.0000023635182,0.15040693,0.00007173893,0.000011409196,0.0011662192,7.054138e-7,0.0000022262964,0.00019130135],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99921733,0.000047188263,0.0004119058,0.00009766223,0.00017427605,0.00005161241],"domain_scores_gemma":[0.99935144,0.0003278211,0.0001302198,0.00014016102,0.00003444543,0.000015917638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060334406,0.000029220453,0.000087705426,0.00008098676,0.000012851155,0.000017631704,0.00011356425,0.000018732613,0.0008275668],"category_scores_gemma":[0.000018156115,0.00002141466,0.000013361827,0.0004367103,0.00002089357,0.0002222498,0.000035669433,0.000016136068,0.000002863768],"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":[0.00003736894,0.00008474207,0.33566478,0.000006451611,0.0000032079654,9.051343e-8,0.00053041906,0.008834081,0.002018751,0.06568645,0.025032409,0.56210124],"study_design_scores_gemma":[0.0011862038,0.00024877387,0.45131278,0.000040086645,0.000003947591,0.0000010653239,0.00075055717,0.042776085,0.19099012,0.26183987,0.05068544,0.00016508995],"about_ca_topic_score_codex":0.000012507533,"about_ca_topic_score_gemma":0.0000116636475,"teacher_disagreement_score":0.56833506,"about_ca_system_score_codex":0.0000024795572,"about_ca_system_score_gemma":0.000025133038,"threshold_uncertainty_score":0.90612763},"labels":[],"label_agreement":null},{"id":"W2103430295","doi":"10.5555/1218112.1218293","title":"Compiled code in distributed logic simulation","year":2006,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"Logic simulation; Computer science; Code (set theory); Logic gate; Overhead (engineering); Parallel computing; Discrete event simulation; Logic optimization; Logic synthesis; Programming language; Simulation; Algorithm","score_opus":0.19112145351548415,"score_gpt":0.44183633036055514,"score_spread":0.250714876845071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103430295","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":[0.12764032,0.00001101458,0.8652329,0.00084091764,0.00009354217,0.0004410466,0.000090558664,0.00018845695,0.0054612737],"genre_scores_gemma":[0.9971452,6.1400766e-7,0.0014593902,0.00021277809,0.00008445635,0.000032624717,0.0001867859,0.000012278897,0.0008658943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715465,0.0001775539,0.0010980321,0.00058147113,0.0007315047,0.00025678094],"domain_scores_gemma":[0.9964582,0.0017895899,0.00033206705,0.0006257753,0.0007293166,0.00006506714],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007909475,0.00019209107,0.0002965478,0.00034844058,0.00012820195,0.0003191675,0.0005213462,0.00013483263,0.0013519805],"category_scores_gemma":[0.00061261485,0.00016699388,0.00009937121,0.0010368354,0.000088142166,0.0004349826,0.000096389595,0.00016151233,0.00034962926],"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":[0.00002537999,0.000080635386,0.031984285,0.0000012290614,0.0000017024472,0.0000012863687,0.00006373321,0.943395,0.00017490056,0.018977953,0.00043463582,0.004859212],"study_design_scores_gemma":[0.0004037239,0.00001893816,0.11729896,0.00001324748,0.0000031716345,3.8318547e-7,0.000042860516,0.759624,0.00013994181,0.10785775,0.014442929,0.00015405848],"about_ca_topic_score_codex":0.00007037222,"about_ca_topic_score_gemma":0.0002366195,"teacher_disagreement_score":0.86950487,"about_ca_system_score_codex":0.00010276923,"about_ca_system_score_gemma":0.000050571067,"threshold_uncertainty_score":0.9995609},"labels":[],"label_agreement":null},{"id":"W2104289831","doi":"10.5555/1218112.1218264","title":"Applying DEVS modeling for discrete event multiple model control of a time varying plant","year":2006,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Discrete event dynamic system; Computer science; Discrete event simulation; Reuse; Discrete time and continuous time; Event (particle physics); Formalism (music); Control engineering; Real-time computing; Distributed computing; Discrete system; Modeling and simulation; Simulation; Algorithm; Engineering; Mathematics","score_opus":0.12619322631619495,"score_gpt":0.3844869371982657,"score_spread":0.25829371088207076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104289831","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":[0.027080208,0.000012517534,0.97047347,0.00015242933,0.000032242355,0.0011986725,0.00023240712,0.0000888927,0.0007291755],"genre_scores_gemma":[0.9842695,4.932141e-7,0.014707098,0.00008655445,0.00005477464,0.00031950325,0.000067929315,0.00001558865,0.0004785463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977983,0.000046679008,0.0009838764,0.000422524,0.00054197275,0.00020660173],"domain_scores_gemma":[0.99704075,0.0013849486,0.00036237066,0.00043314692,0.0007244275,0.00005438534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007067117,0.0001587478,0.00031014183,0.00019151895,0.00015793514,0.00012723658,0.00039959923,0.000082502134,0.0000926917],"category_scores_gemma":[0.0003805664,0.00013378079,0.00016816305,0.00020525344,0.000037737937,0.00030213178,0.000059256636,0.00007292294,0.000024499708],"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":[0.00006943922,0.000029518784,0.0007753315,0.0000044945955,0.000006323583,7.573823e-8,0.00009657694,0.98723435,0.0036542953,0.0043554734,0.00007288989,0.0037012342],"study_design_scores_gemma":[0.0007521383,0.000021833419,0.00005667219,0.0000331253,0.000014518373,3.7355701e-7,0.000027907923,0.94519687,0.0009500751,0.052262433,0.00053641805,0.00014764663],"about_ca_topic_score_codex":0.000040472758,"about_ca_topic_score_gemma":0.000012887076,"teacher_disagreement_score":0.9571893,"about_ca_system_score_codex":0.00003212246,"about_ca_system_score_gemma":0.000061120125,"threshold_uncertainty_score":0.54554224},"labels":[],"label_agreement":null},{"id":"W2104293976","doi":"10.1177/003754970107600102","title":"Application of the Cell-DEVS Paradigm for Cell Spaces Modelling and Simulation","year":2001,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":103,"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; Development (topology); Theoretical computer science; Modeling and simulation; Simulation; Mathematics","score_opus":0.1061044313413842,"score_gpt":0.39613691523936334,"score_spread":0.29003248389797914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104293976","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":[0.28153616,0.000051106814,0.71668583,0.00027478646,0.000033492604,0.0008169332,0.000008704018,0.00005451435,0.00053844944],"genre_scores_gemma":[0.9944907,0.000009556368,0.0048638564,0.000060448892,0.00006739764,0.00006105211,0.000009145064,0.000017861968,0.00041996903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838024,0.000057828256,0.00057595427,0.00035199683,0.00049673894,0.00013722334],"domain_scores_gemma":[0.9968322,0.0017782857,0.0004777464,0.00053183275,0.00033450726,0.000045411747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072459824,0.00011790436,0.00016399888,0.00012850403,0.0002748611,0.000096492724,0.00026663698,0.000102217164,0.0000167381],"category_scores_gemma":[0.00014958656,0.00008554057,0.00009599638,0.00063051475,0.000058581914,0.00027888335,0.000046620953,0.00006134044,0.000011437541],"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":[0.000022693472,0.000035740315,0.006410513,0.000006290847,0.000001320554,1.0209725e-8,0.00019647594,0.98103076,0.000595767,0.002379972,0.00003071844,0.00928975],"study_design_scores_gemma":[0.00030519385,0.000022189713,0.0025340687,0.000004247502,0.0000140408565,1.501036e-7,0.00007534895,0.9042876,0.0024944032,0.07219677,0.017975641,0.000090381756],"about_ca_topic_score_codex":0.000027776365,"about_ca_topic_score_gemma":0.0000046183327,"teacher_disagreement_score":0.7129545,"about_ca_system_score_codex":0.000024911693,"about_ca_system_score_gemma":0.000022395721,"threshold_uncertainty_score":0.3488243},"labels":[],"label_agreement":null},{"id":"W2104921688","doi":"10.5555/2433508.2433732","title":"Dynamic adjustment of replenishment parameters using optimum-seeking simulation","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Reorder point; Discrete event simulation; Heuristic; Supply chain; Computer science; Simulation-based optimization; Continuous simulation; Event (particle physics); Mathematical optimization; Service level; Point (geometry); Dynamic simulation; Operations research; Supply chain management; Simulation; Economic order quantity; Engineering; Mathematics","score_opus":0.12773660595842148,"score_gpt":0.4504772907716724,"score_spread":0.3227406848132509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104921688","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":[0.5744581,0.000005167039,0.42365506,0.00010425095,0.00012382395,0.00023348024,0.0000041635144,0.00005277116,0.0013631573],"genre_scores_gemma":[0.8184984,0.0000011138633,0.1811499,0.000073985175,0.000010658474,0.000009334663,0.000002870947,0.000006347569,0.00024744566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982231,0.0000333375,0.00064757775,0.00031253695,0.0006567865,0.00012661738],"domain_scores_gemma":[0.99795437,0.00070844626,0.00030322274,0.0006999161,0.0002762973,0.00005772088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093509495,0.000088377186,0.00015910895,0.00018832057,0.00009226241,0.00006149079,0.00031287855,0.00006955012,0.000661397],"category_scores_gemma":[0.00039008597,0.000068086345,0.000096295844,0.00045047989,0.00006300651,0.0001792749,0.00007635129,0.00009586281,0.000024564444],"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":[0.000015399517,0.00012925692,0.0036949303,0.0000031614281,0.0000129801865,3.1529706e-7,0.0002149245,0.758066,0.10909614,0.0112458225,0.000204661,0.1173164],"study_design_scores_gemma":[0.00011544702,0.00002318838,0.003440251,0.0000041459193,0.000008107085,0.0000011296345,0.00012799127,0.972381,0.006476349,0.015913717,0.001424538,0.0000841587],"about_ca_topic_score_codex":0.000056033085,"about_ca_topic_score_gemma":0.00001680258,"teacher_disagreement_score":0.24404022,"about_ca_system_score_codex":0.00003171444,"about_ca_system_score_gemma":0.000029295117,"threshold_uncertainty_score":0.7241834},"labels":[],"label_agreement":null},{"id":"W2105093638","doi":"10.1109/wsc.2002.1166482","title":"Application of simulation and mean value analysis to a repair facility model for finding optimal staffing levels","year":2003,"lang":"en","type":"article","venue":"","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":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Staffing; Task (project management); Computer science; Queue; Resource allocation; Queueing theory; Operations research; Constraint (computer-aided design); Service (business); Discrete event simulation; Object (grammar); Resource (disambiguation); Simulation; Operations management; Computer network; Engineering; Artificial intelligence; Systems engineering","score_opus":0.2340571170367355,"score_gpt":0.4669354064439307,"score_spread":0.2328782894071952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105093638","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":[0.23986834,0.0000032723165,0.7590978,0.000049402017,0.0000039491338,0.0005326253,0.00006846151,0.000065687906,0.00031043665],"genre_scores_gemma":[0.79531974,1.5803519e-7,0.20414793,0.00003456242,0.0000032428343,0.00007342189,0.000006938425,0.000003210615,0.00041080738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833924,0.000049088118,0.00063451956,0.0004515658,0.00040499875,0.00012060971],"domain_scores_gemma":[0.9978377,0.0009607468,0.00019317908,0.0004938376,0.00043784056,0.0000766787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021237768,0.00008788868,0.00022807204,0.0003576991,0.00014939286,0.000043311466,0.00014574417,0.000057726655,0.000051062412],"category_scores_gemma":[0.0010073341,0.00007421886,0.00015911947,0.0013629955,0.000024325718,0.0001675006,0.000036252073,0.000030152778,0.00000390758],"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":[0.0000072109133,0.000021751137,0.0032760715,0.0000020508157,0.000021987873,3.5698158e-9,0.00031887073,0.96807086,0.0005049409,0.022737717,0.000034575078,0.005003937],"study_design_scores_gemma":[0.00009665323,0.000018568322,0.002721643,7.802806e-7,0.000055874836,5.0253384e-8,0.00016421516,0.98151314,0.0016103022,0.012916295,0.0008186386,0.00008385633],"about_ca_topic_score_codex":0.00002686656,"about_ca_topic_score_gemma":0.000025817177,"teacher_disagreement_score":0.5554514,"about_ca_system_score_codex":0.00003057577,"about_ca_system_score_gemma":0.00002334878,"threshold_uncertainty_score":0.30265573},"labels":[],"label_agreement":null},{"id":"W2105645499","doi":"10.1109/ccece.2011.6030716","title":"Disaster management in real time simulation using machine learning","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":24,"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 British Columbia","funders":"","keywords":"Reinforcement learning; First responder; Computer science; Emergency management; Disaster response; Intelligent agent; Work (physics); Emergency response; Sequence (biology); Multi-agent system; Artificial intelligence; Engineering; Medical emergency","score_opus":0.2705123233567432,"score_gpt":0.4452593700012669,"score_spread":0.17474704664452373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105645499","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":[0.67303336,0.0000034359111,0.13901529,0.00003770059,0.000020339632,0.0002819998,0.000001178438,0.00013649662,0.1874702],"genre_scores_gemma":[0.96390456,0.0000021952994,0.027665697,0.00004137719,0.000010532709,0.0000063177417,0.0000022631905,0.0000063056013,0.008360761],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989529,0.000057831545,0.00034328547,0.00022650679,0.00031388464,0.000105564024],"domain_scores_gemma":[0.99942917,0.00016066039,0.00008215337,0.00024622155,0.00005026921,0.000031531614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006572658,0.000062491534,0.00008931226,0.00021064657,0.000068215144,0.000047907546,0.00018588212,0.000031428033,0.0031058278],"category_scores_gemma":[0.000047110825,0.00004736894,0.000033264496,0.0004699871,0.000017725813,0.00018656353,0.00009000763,0.00005258549,0.00039151573],"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":[0.00010568615,0.00040232728,0.25818312,0.0000059151484,0.000026459804,0.000013630749,0.004269246,0.40591103,0.0026084394,0.053930376,0.00036050094,0.27418327],"study_design_scores_gemma":[0.00012598302,0.000011128283,0.021183012,0.0000030067501,0.0000031627387,3.2535894e-7,0.00014437408,0.96123344,0.00018406511,0.01422073,0.0028176499,0.00007309839],"about_ca_topic_score_codex":0.0002056166,"about_ca_topic_score_gemma":0.0000191275,"teacher_disagreement_score":0.55532247,"about_ca_system_score_codex":0.000025059673,"about_ca_system_score_gemma":0.0000034132302,"threshold_uncertainty_score":0.9978055},"labels":[],"label_agreement":null},{"id":"W2105907355","doi":"10.1142/s1793962314300015","title":"Coupling concepts for simulation: A systematic and comprehensive view and advantages with declarative models","year":2014,"lang":"en","type":"article","venue":"Advances in Complex Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Component (thermodynamics); Computer science; Coupling (piping); Variable (mathematics); Matching (statistics); Section (typography); State (computer science); Core model; Theoretical computer science; Programming language; Mathematics","score_opus":0.18065038416031026,"score_gpt":0.4681609177088404,"score_spread":0.2875105335485301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105907355","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":[0.027781362,0.010692151,0.9583707,0.00005825704,0.000052694588,0.0025204585,0.000024166666,0.00006405378,0.00043619704],"genre_scores_gemma":[0.99084944,0.00013864377,0.008358857,0.000067457724,0.000037681053,0.0004694257,0.00000832419,0.000013830826,0.0000563153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801624,0.00014317759,0.00076015596,0.00048828725,0.00041690623,0.0001752382],"domain_scores_gemma":[0.9921533,0.006537285,0.0004052847,0.00036245002,0.0004688328,0.0000728318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008310965,0.00018106453,0.00065334653,0.0001380895,0.00021562928,0.00020228267,0.00020596563,0.00004925697,0.0000034914328],"category_scores_gemma":[0.00022971758,0.0001247835,0.000029743516,0.0003309724,0.0001680118,0.00063909864,0.0000526484,0.00006183507,0.0000024081462],"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":[0.000026597234,0.000013692917,0.001357676,0.0012513986,0.0000086393375,3.5702175e-7,0.00047384202,0.90645736,0.000030941108,0.08882478,0.000015861928,0.0015388738],"study_design_scores_gemma":[0.0005663881,0.00010880861,0.0003128908,0.0008786241,0.000012055921,0.00000950314,0.0017067915,0.9604439,0.000006526615,0.024726823,0.011061777,0.0001658752],"about_ca_topic_score_codex":0.000011094227,"about_ca_topic_score_gemma":0.000026580467,"teacher_disagreement_score":0.9630681,"about_ca_system_score_codex":0.000024978768,"about_ca_system_score_gemma":0.000012555004,"threshold_uncertainty_score":0.50885236},"labels":[],"label_agreement":null},{"id":"W2106004644","doi":"10.1177/0037549709104482","title":"A Formal Framework for Stochastic Discrete Event System Specification Modeling and Simulation","year":2009,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":27,"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; Computer science; Formalism (music); Discrete event simulation; Formal specification; Discrete event dynamic system; Context (archaeology); Relation (database); Closure (psychology); System requirements specification; Theoretical computer science; Modeling and simulation; Algorithm; Discrete system; Programming language; Simulation; Software engineering; Data mining","score_opus":0.13088476083313078,"score_gpt":0.4498455991008057,"score_spread":0.3189608382676749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106004644","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":[0.06514466,0.000040661056,0.9328111,0.0003934129,0.00010469641,0.0011272187,0.000019228755,0.00019908648,0.00015994151],"genre_scores_gemma":[0.9744105,0.0000010614618,0.025103733,0.00007478498,0.00022712185,0.00005812679,0.00004177442,0.0000143590405,0.00006856596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978058,0.000054417582,0.0008012207,0.00048128032,0.0006224832,0.00023484734],"domain_scores_gemma":[0.99705976,0.0015557944,0.0003217692,0.0004805923,0.00048749504,0.00009460359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011809517,0.00015954621,0.0002177555,0.00023963023,0.0004259781,0.00024397747,0.00019739129,0.0001483811,0.000016832522],"category_scores_gemma":[0.0010160132,0.00013830002,0.000102198384,0.000459283,0.000020981935,0.00068634993,0.000028319737,0.00009703345,0.000020882717],"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":[0.000049026985,0.0000145067,0.000033832694,0.0000039795773,0.000002340975,3.798991e-8,0.00020164387,0.86915797,0.00004477836,0.09003308,0.0000065782033,0.04045223],"study_design_scores_gemma":[0.00022760905,0.000059751004,0.0010467311,0.00003124063,0.000014399991,4.9884846e-7,0.00021540126,0.7722933,0.00002014798,0.2257498,0.00021593725,0.00012517408],"about_ca_topic_score_codex":0.0000029482055,"about_ca_topic_score_gemma":9.260462e-7,"teacher_disagreement_score":0.9092658,"about_ca_system_score_codex":0.00009373473,"about_ca_system_score_gemma":0.000020658075,"threshold_uncertainty_score":0.5639711},"labels":[],"label_agreement":null},{"id":"W2108106094","doi":"10.5555/2048476.2048489","title":"A performance evaluation of the conservative DEVS protocol in parallel simulation of DEVS-based models","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Computation; Node (physics); Synchronization (alternating current); Discrete event simulation; Protocol (science); Distributed computing; Parallel computing; Theoretical computer science; Modeling and simulation; Algorithm; Simulation; Computer network; Engineering","score_opus":0.566317840672936,"score_gpt":0.5005351392763671,"score_spread":0.06578270139656894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108106094","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":[0.7188201,0.0000011511127,0.21182741,0.000091687,0.000011424185,0.04517703,0.0000052764963,0.000023979646,0.02404197],"genre_scores_gemma":[0.9763586,7.5924646e-8,0.007866259,0.00006153927,0.0000023339817,0.015624986,8.295847e-7,0.000003631435,0.00008174478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782574,0.0001957545,0.0007142208,0.00017261098,0.0010142783,0.00007737019],"domain_scores_gemma":[0.9973355,0.00044805466,0.00044637144,0.00046620273,0.0012861262,0.000017731958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027721555,0.000069067384,0.00013957726,0.00014039662,0.00004557899,0.000008410299,0.000362282,0.000052460608,0.00041928128],"category_scores_gemma":[0.00047163715,0.000041099556,0.00005539678,0.0008577603,0.00009491384,0.00026165307,0.000040497842,0.000048802714,0.0000052286223],"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":[0.000059613274,0.00009388476,0.052631885,0.0000040902073,0.0000017638746,6.546093e-9,0.0005219194,0.9317459,0.00008450952,0.0047014537,0.00003129182,0.010123712],"study_design_scores_gemma":[0.00052936125,0.000033115535,0.11766282,0.000017162214,0.0000043963855,3.5100737e-8,0.000088801666,0.8351212,0.008330221,0.038115606,0.0000555276,0.000041750107],"about_ca_topic_score_codex":0.00010362254,"about_ca_topic_score_gemma":0.00006739305,"teacher_disagreement_score":0.25753853,"about_ca_system_score_codex":0.000031367315,"about_ca_system_score_gemma":0.00021762359,"threshold_uncertainty_score":0.4590836},"labels":[],"label_agreement":null},{"id":"W2108211046","doi":"10.1109/pads.2005.25","title":"Sequential Performance of Asynchronous Conservative PDES Algorithms","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Discrete event simulation; Asynchronous communication; Queue; Timestamp; Implementation; Event (particle physics); Algorithm; Scale (ratio); Range (aeronautics); Throughput; Distributed computing; Parallel computing; Real-time computing; Simulation","score_opus":0.1364795704146249,"score_gpt":0.4221471140401451,"score_spread":0.28566754362552016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108211046","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":[0.83950716,0.000022309994,0.12353591,0.001089244,0.000032041917,0.0001751691,0.000011038115,0.00007837647,0.03554875],"genre_scores_gemma":[0.9480033,0.000008481702,0.048163272,0.00023779809,0.00005619909,0.000013681585,0.0000020409404,0.0000036224412,0.0035116107],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882185,0.000028146056,0.0004192773,0.00018610143,0.00044643425,0.00009816275],"domain_scores_gemma":[0.9988672,0.0003016704,0.00014419199,0.00031758385,0.00032980903,0.00003952353],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005685561,0.00006202763,0.00012870974,0.00009305096,0.00007820632,0.000036257894,0.00031266263,0.000037846246,0.0022982312],"category_scores_gemma":[0.00011039939,0.000044152563,0.00005299132,0.0003891079,0.00010963824,0.00024018093,0.000053208223,0.00004542687,0.00028222252],"study_design_candidate":"design_other","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":[0.000029020997,0.00020359807,0.04054523,0.000004385415,0.000020797766,3.7332418e-7,0.00065025117,0.004248059,0.006668644,0.051564697,0.017415097,0.87864983],"study_design_scores_gemma":[0.00049651857,0.00020168118,0.04880511,0.0000119309525,0.000010393819,0.0000074939944,0.00038142904,0.43680295,0.34241796,0.010686252,0.15990806,0.00027022522],"about_ca_topic_score_codex":0.000028656468,"about_ca_topic_score_gemma":0.000010029672,"teacher_disagreement_score":0.87837964,"about_ca_system_score_codex":0.000019922165,"about_ca_system_score_gemma":0.0000474615,"threshold_uncertainty_score":0.9986138},"labels":[],"label_agreement":null},{"id":"W2109997314","doi":"10.1145/1013329.1013334","title":"Performance of a mixed shared/distributed memory parallel network simulator","year":2004,"lang":"en","type":"article","venue":"Proceedings - Workshop on Parallel and Distributed Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid","keywords":"Computer science; Distributed shared memory; Shared memory; Data diffusion machine; Parallel computing; Distributed memory; Distributed computing; Operating system; Uniform memory access; Memory management; Semiconductor memory","score_opus":0.06408798700599344,"score_gpt":0.34431441614990327,"score_spread":0.2802264291439098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109997314","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":[0.81781703,0.000115169794,0.17911723,0.00081972225,0.00009597523,0.0008551635,0.00022834862,0.00026123517,0.00069014105],"genre_scores_gemma":[0.9950018,0.000057432208,0.0039358633,0.00013811154,0.00016364736,0.00009971962,0.00043415237,0.000029397395,0.00013989047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960677,0.000028597035,0.0013333979,0.0008640351,0.001174977,0.0005312698],"domain_scores_gemma":[0.99659413,0.0008799284,0.0007881187,0.00043670787,0.0010221187,0.00027896857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011178805,0.00040059775,0.00060524524,0.00023853914,0.0005071438,0.00029326306,0.00055011606,0.00032094563,0.00013000697],"category_scores_gemma":[0.0012197635,0.0003406259,0.00018578321,0.0019517686,0.0001808215,0.0007068367,0.00017065696,0.0003031786,0.000053058062],"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":[0.00039307284,0.00015859827,0.010455976,0.000021049149,0.000023754286,6.792174e-7,0.00013405968,0.97724056,0.00010280945,0.0053836005,0.0017226298,0.0043632244],"study_design_scores_gemma":[0.0026748844,0.00024891435,0.08786205,0.00022298396,0.00005787762,0.0000040097952,0.00044415452,0.86804444,0.00022194881,0.034653775,0.0049745934,0.0005903575],"about_ca_topic_score_codex":0.000009842941,"about_ca_topic_score_gemma":0.0000031755746,"teacher_disagreement_score":0.17718478,"about_ca_system_score_codex":0.000118877884,"about_ca_system_score_gemma":0.000069831054,"threshold_uncertainty_score":0.9999046},"labels":[],"label_agreement":null},{"id":"W2110988374","doi":"10.1145/1119655.1119673","title":"Optimization aspects in network simulation","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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":"Computer science","score_opus":0.07851964600074994,"score_gpt":0.40959335880019104,"score_spread":0.3310737127994411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110988374","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":[0.009693091,0.000012971449,0.872826,0.000393344,0.000035419213,0.00018184804,6.614515e-7,0.00010701721,0.11674964],"genre_scores_gemma":[0.9656134,8.0128865e-7,0.03198956,0.00013899355,0.000114096016,0.000013170538,0.000009247141,0.0000048769584,0.0021158406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882656,0.000042937747,0.00041762093,0.0002188632,0.00037533822,0.00011867396],"domain_scores_gemma":[0.9989404,0.00055548066,0.00009036742,0.00026405873,0.00012954697,0.000020143729],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00066988746,0.000055159086,0.00008744254,0.00013990697,0.00006832645,0.00010595306,0.00016276987,0.000048898342,0.0010165188],"category_scores_gemma":[0.00016041652,0.000044053813,0.000030845804,0.0012137997,0.000015147692,0.00019585843,0.000026760423,0.000039558934,0.00011184677],"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":[0.0000015798497,0.000016103919,0.008434149,9.146027e-8,1.7555158e-7,1.8766374e-7,0.000003991189,0.9245247,0.0000059603226,0.061214775,0.0025015413,0.0032967299],"study_design_scores_gemma":[0.00008479135,0.000004404788,0.023011591,0.0000013424539,5.4865325e-7,1.5233233e-7,0.000007779538,0.77980405,0.000044932003,0.18927307,0.0077200164,0.000047320147],"about_ca_topic_score_codex":0.00009442088,"about_ca_topic_score_gemma":0.00012097781,"teacher_disagreement_score":0.95592034,"about_ca_system_score_codex":0.000026720929,"about_ca_system_score_gemma":0.00001340772,"threshold_uncertainty_score":0.9998967},"labels":[],"label_agreement":null},{"id":"W2111051240","doi":"10.1145/1370175.1370203","title":"The JDEvAn tool suite in support of object-oriented evolutionary development","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Suite; Computer science; Object-oriented programming; Software engineering; Programming language; Geography","score_opus":0.09458466533708139,"score_gpt":0.3818755164048303,"score_spread":0.28729085106774893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111051240","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":[0.92981154,0.00004230403,0.029710714,0.0015505599,0.00009074204,0.00052359764,0.000007575564,0.000090665795,0.038172327],"genre_scores_gemma":[0.97796136,0.000013865207,0.009291292,0.000169809,0.000009390851,0.000045203484,0.0000049563096,0.0000033634267,0.01250077],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983065,0.00003912561,0.0006510693,0.00019085521,0.0006808257,0.00013162952],"domain_scores_gemma":[0.99856764,0.00065837085,0.0001133291,0.00037566718,0.00025487048,0.000030120178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009653825,0.00005958867,0.00010314099,0.00013044085,0.00022418077,0.000013900634,0.00033951926,0.000034753877,0.00050450023],"category_scores_gemma":[0.00040256296,0.000035137284,0.00004158605,0.0008186257,0.00010243431,0.00010092111,0.00008664907,0.000053892094,0.00014647961],"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":[0.000056330548,0.0003307068,0.5268651,0.0000023404327,0.000014251088,0.000006623503,0.002216905,0.00040790887,0.00085408974,0.13493375,0.2600047,0.07430725],"study_design_scores_gemma":[0.00012334707,0.0000148391455,0.40326628,0.0000012586652,5.3118544e-7,0.00000529509,0.00016279452,0.0005878111,0.0029098322,0.005560895,0.5873058,0.000061356885],"about_ca_topic_score_codex":0.00002456468,"about_ca_topic_score_gemma":0.000048184374,"teacher_disagreement_score":0.32730106,"about_ca_system_score_codex":0.000039970568,"about_ca_system_score_gemma":0.0001904243,"threshold_uncertainty_score":0.55239236},"labels":[],"label_agreement":null},{"id":"W2111904539","doi":"10.1109/wsc.2002.1172951","title":"Fast cell level ATM network simulation","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"University of Calgary","funders":"","keywords":"Benchmark (surveying); Computer science; Kernel (algebra); Discrete event simulation; Factor (programming language); Parallel computing; Event (particle physics); Simulation; Mathematics","score_opus":0.26855279198405063,"score_gpt":0.44181934850074056,"score_spread":0.17326655651668993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111904539","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":[0.009094762,0.000016892749,0.72063565,0.0001447763,0.00007130651,0.00016419744,0.0000031563152,0.000104481565,0.26976478],"genre_scores_gemma":[0.9322401,0.0000015528052,0.02824345,0.00040810194,0.000057302794,0.000012048426,0.0000025556408,0.0000069995535,0.039027832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99859846,0.000074815616,0.00038374917,0.00028021628,0.00049909257,0.00016368384],"domain_scores_gemma":[0.9982548,0.00086609257,0.00010842651,0.00048251526,0.00021771122,0.00007046113],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009604412,0.000079494705,0.00010734987,0.00006069743,0.00018450167,0.00013096223,0.00024101009,0.00005984427,0.0033408508],"category_scores_gemma":[0.0003135115,0.00005876612,0.00006775913,0.00074941857,0.000024445246,0.00015217914,0.000028011276,0.00005641096,0.0010832595],"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":[0.0000033195233,0.000062234154,0.009541813,6.462614e-7,0.00000225335,3.3472628e-7,0.000070412985,0.699706,0.00015523861,0.18316932,0.051443364,0.055845045],"study_design_scores_gemma":[0.00018578379,0.000018522638,0.006366521,0.000001550178,0.0000035550179,6.4566024e-7,0.00011283049,0.18253492,0.0017655079,0.15135264,0.65750456,0.00015294035],"about_ca_topic_score_codex":0.000007799517,"about_ca_topic_score_gemma":0.0000075378166,"teacher_disagreement_score":0.9231454,"about_ca_system_score_codex":0.000015694231,"about_ca_system_score_gemma":0.00002555587,"threshold_uncertainty_score":0.9996945},"labels":[],"label_agreement":null},{"id":"W2114758963","doi":"10.1109/cdc.1999.830894","title":"Generalizations of the surrogate estimation approach for sensitivity analysis","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Sensitivity (control systems); Computer science; Mathematical optimization; Unification; Surrogate model; Algorithm; Mathematics; Machine learning; Statistics","score_opus":0.14392398515417223,"score_gpt":0.41944163192072587,"score_spread":0.27551764676655366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114758963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027719041,0.0000027811259,0.9649024,0.00018708462,0.000013384708,0.00029460466,0.000021955022,0.000024348354,0.0068344087],"genre_scores_gemma":[0.83924854,3.824987e-7,0.15916376,0.00006253755,0.000003570198,0.000030235416,0.00001117841,0.000002348966,0.0014774244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898934,0.00014236214,0.0003101356,0.00017739352,0.00031620442,0.000064564505],"domain_scores_gemma":[0.9983923,0.0005520548,0.00016062858,0.0004898095,0.00038390726,0.000021287393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001518688,0.00004626638,0.00012405663,0.00013286664,0.00015928736,0.00004125565,0.00013290643,0.000031058877,0.000089991845],"category_scores_gemma":[0.0011225573,0.00002678596,0.00018446524,0.0021826425,0.00004282404,0.0000750223,0.000017544475,0.000018946854,0.000002361906],"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":[9.22697e-7,0.000050418617,0.012609575,0.0000010432077,0.000029376657,4.875308e-9,0.000054159318,0.689612,0.00051319477,0.29369673,0.0012587699,0.0021738515],"study_design_scores_gemma":[0.00006017804,0.0000028615223,0.010284839,2.8254516e-7,0.000066512,2.896599e-7,0.00005913448,0.9494333,0.0099692205,0.028486954,0.0015968427,0.000039528695],"about_ca_topic_score_codex":0.00002300352,"about_ca_topic_score_gemma":0.00002585277,"teacher_disagreement_score":0.8115295,"about_ca_system_score_codex":0.000008895939,"about_ca_system_score_gemma":0.000023730943,"threshold_uncertainty_score":0.1343887},"labels":[],"label_agreement":null},{"id":"W2115407046","doi":"10.5555/1351542.1351919","title":"Simulation and uncertainty modeling of project schedules estimates","year":2007,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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":"Computer science; Project management; Field (mathematics); Project planning; Operations research; Industrial engineering; Systems engineering; Real-time computing; Engineering","score_opus":0.25267144064791325,"score_gpt":0.4776906593868254,"score_spread":0.22501921873891217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115407046","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":[0.3247022,0.000019037805,0.6738439,0.00007104777,0.0000336066,0.00025562206,0.000007916595,0.00006655625,0.0010000982],"genre_scores_gemma":[0.98372227,0.0000016848093,0.016069105,0.000053077187,0.00003826964,0.000007118868,0.000011649928,0.000009937586,0.00008688401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790317,0.000047871235,0.0008683997,0.0004110014,0.0005902818,0.000179293],"domain_scores_gemma":[0.995298,0.0027606029,0.00030574802,0.00042529617,0.001144253,0.00006606433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014988777,0.00014764917,0.00024383698,0.00035672044,0.00012310331,0.0001432046,0.00027756213,0.00009932959,0.0001352041],"category_scores_gemma":[0.0018018297,0.00012104789,0.000065901935,0.0005070075,0.000104274455,0.00039413347,0.00009769675,0.000096968986,0.000013897207],"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":[0.000036746012,0.000023410821,0.0070212036,0.0000049310274,0.0000053577855,1.6689867e-7,0.0003895437,0.9578205,0.00026734007,0.010295074,0.0000043961018,0.024131326],"study_design_scores_gemma":[0.00020296949,0.00003510933,0.0031983366,0.000031573643,0.000008767759,3.6466514e-7,0.00036421602,0.95269614,0.000492316,0.042403888,0.0004423918,0.00012391502],"about_ca_topic_score_codex":0.00005312199,"about_ca_topic_score_gemma":0.000028685377,"teacher_disagreement_score":0.65902007,"about_ca_system_score_codex":0.000024194649,"about_ca_system_score_gemma":0.000052506002,"threshold_uncertainty_score":0.49361897},"labels":[],"label_agreement":null},{"id":"W2115561031","doi":"10.1109/ccgrid.2012.65","title":"Simulation in the Cloud Using Handheld Devices","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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":"Mobile device; Computer science; Cloud computing; Android (operating system); Rendering (computer graphics); Graphics; Mobile computing; Visualization; Augmented reality; Operating system; Human–computer interaction; Computer graphics (images)","score_opus":0.4285895723550028,"score_gpt":0.5240613857423521,"score_spread":0.09547181338734928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115561031","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":[0.35295945,0.00026756688,0.6273631,0.001338766,0.00045042773,0.001073012,0.000016297829,0.000117974356,0.016413422],"genre_scores_gemma":[0.9924507,0.0000034309153,0.006212617,0.0006162482,0.00034294167,0.000040398372,0.000011173658,0.000008800956,0.00031367855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976075,0.00022857059,0.0006942469,0.00038720295,0.0009034815,0.00017895128],"domain_scores_gemma":[0.9956258,0.0027593612,0.0003373422,0.0010267512,0.00021180531,0.00003891957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033687614,0.00015002617,0.0002149615,0.00023081174,0.00013655261,0.00044235252,0.001072439,0.00022184587,0.0006438423],"category_scores_gemma":[0.0005696476,0.00008558188,0.00011820547,0.0005697056,0.000041307627,0.00016804284,0.00039888118,0.0003255279,0.00013066124],"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":[0.000005898074,0.00009772405,0.027896713,0.000008050906,0.000006189309,4.785787e-7,0.001367086,0.92696375,0.00003494682,0.016772069,0.0010925205,0.025754582],"study_design_scores_gemma":[0.00008031694,0.000003966997,0.017742699,0.000025499992,0.00001547482,7.775758e-7,0.0005439967,0.80081296,0.00008984253,0.13217841,0.048304673,0.00020137445],"about_ca_topic_score_codex":0.0002623607,"about_ca_topic_score_gemma":0.00010761227,"teacher_disagreement_score":0.63949126,"about_ca_system_score_codex":0.00004137645,"about_ca_system_score_gemma":0.00005166948,"threshold_uncertainty_score":0.70496213},"labels":[],"label_agreement":null},{"id":"W2115867296","doi":"10.5555/1995456.1995568","title":"DEVS-based design of spatial simulations of biological systems","year":2009,"lang":"en","type":"article","venue":"Winter Simulation Conference","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; Modeling and simulation; Simulation","score_opus":0.3523754570231519,"score_gpt":0.4476132033810178,"score_spread":0.09523774635786592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115867296","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":[0.06847117,0.000015140303,0.93006384,0.00020375024,0.00007174524,0.0004992495,0.000047469985,0.00006501582,0.00056264707],"genre_scores_gemma":[0.9935294,8.401812e-7,0.006212674,0.00008226924,0.000035869412,0.000008506019,0.000019498542,0.000005292891,0.00010564833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974492,0.00024513275,0.0011537824,0.00035140818,0.000654467,0.00014601923],"domain_scores_gemma":[0.99485105,0.00247576,0.0006111296,0.0006070011,0.001386449,0.00006858736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007641465,0.00014436661,0.0003620153,0.00030405965,0.0000716452,0.000072629926,0.00051110645,0.00012997647,0.00054426637],"category_scores_gemma":[0.0011475426,0.00011151428,0.00011017997,0.00054781645,0.00011929778,0.00016885913,0.000031932985,0.0000801959,0.000023804527],"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":[0.000053482145,0.00009835943,0.0040695216,0.0000021684493,0.000004417527,1.7120898e-7,0.00008788011,0.9705147,0.004240548,0.007029241,0.000043146334,0.013856372],"study_design_scores_gemma":[0.0003188153,0.00021705312,0.018334104,0.000031037867,0.000007527649,2.7050746e-7,0.000039294115,0.96312726,0.0048208768,0.012311677,0.00067807856,0.00011399484],"about_ca_topic_score_codex":0.000027585525,"about_ca_topic_score_gemma":0.0000025687382,"teacher_disagreement_score":0.92505825,"about_ca_system_score_codex":0.000020750736,"about_ca_system_score_gemma":0.00009996607,"threshold_uncertainty_score":0.5959335},"labels":[],"label_agreement":null},{"id":"W2117170001","doi":"10.1109/ds-rt.2008.15","title":"Lightweight Time Warp&amp;#150; A Novel Protocol for Parallel Optimistic Simulation of Large-Scale DEVS and Cell-DEVS Models","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"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; Computer science; Distributed computing; Discrete event simulation; Protocol (science); Scheduling (production processes); Parallel computing; Queue; Rollback; Computer network; Modeling and simulation; Simulation; Database transaction","score_opus":0.19304951118134742,"score_gpt":0.4307386643036758,"score_spread":0.23768915312232838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117170001","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":[0.0034754963,0.0000031185905,0.9463007,0.00016814368,0.000007183486,0.04302821,0.00005920205,0.000102691214,0.006855275],"genre_scores_gemma":[0.39251944,0.000001645533,0.51699775,0.00019664477,0.000055197757,0.0689936,0.000027450076,0.000029266283,0.021179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979038,0.000026780555,0.00080168643,0.00045764592,0.00058602536,0.00022405753],"domain_scores_gemma":[0.99738926,0.0010563027,0.00030398037,0.00053114805,0.00060215563,0.00011718568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006215105,0.00016467998,0.00030141856,0.0001677947,0.00027335624,0.000057084613,0.00032466618,0.00012763488,0.000455917],"category_scores_gemma":[0.00018824653,0.00012010637,0.00011231445,0.00040243773,0.00008404625,0.0003261837,0.00008975063,0.00006168328,0.000057087753],"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":[0.00024441295,0.000866064,0.00044266813,0.000046305595,0.000013527911,3.095195e-7,0.0011721501,0.9603936,0.0046225423,0.0126024075,0.018078258,0.0015177438],"study_design_scores_gemma":[0.0012811613,0.000062539795,0.00017439904,0.000008703339,0.0000070981496,0.0000021910973,0.000028186892,0.9196814,0.0021130436,0.020508176,0.055972256,0.00016088728],"about_ca_topic_score_codex":0.000010137768,"about_ca_topic_score_gemma":0.0000053702456,"teacher_disagreement_score":0.4293029,"about_ca_system_score_codex":0.000019109424,"about_ca_system_score_gemma":0.00006774435,"threshold_uncertainty_score":0.49919716},"labels":[],"label_agreement":null},{"id":"W2118083080","doi":"10.1109/ccece.1997.608244","title":"An object-oriented implementation of a discrete event trainer simulation","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Lisp; Discrete event simulation; Trainer; Process (computing); Simulation language; GPSS; Object-oriented programming; Object (grammar); Game engine; Event (particle physics); Software engineering; Simulation; Programming language; Human–computer interaction; Artificial intelligence","score_opus":0.11675770602809696,"score_gpt":0.49021670241671617,"score_spread":0.37345899638861924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118083080","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":[0.35761702,0.000008894792,0.63686424,0.00042621023,0.00003203478,0.00037848367,0.000025349902,0.00009374515,0.004554035],"genre_scores_gemma":[0.9949688,0.0000018140536,0.0041631046,0.0000988192,0.000028624829,0.000025665222,0.00001736368,0.000006253578,0.0006896015],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983233,0.00007046157,0.00060798443,0.00025485404,0.0006361967,0.000107174754],"domain_scores_gemma":[0.9987508,0.00025717827,0.00020819256,0.0004409566,0.00028017868,0.00006269956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005456587,0.00007397218,0.00012017888,0.00016871812,0.000081413884,0.00004385826,0.00020535987,0.000035334186,0.007613686],"category_scores_gemma":[0.00008523666,0.00005401971,0.000073460535,0.00065392547,0.000030195253,0.0003427279,0.000019913083,0.00003307109,0.00006361258],"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":[0.00002609009,0.00048772924,0.041972056,0.0000055627993,0.000036118803,6.7024996e-7,0.0056383093,0.12441158,0.014173175,0.10951828,0.0076572383,0.6960732],"study_design_scores_gemma":[0.00048100977,0.00016448626,0.043048006,0.0000028371587,0.000010715957,5.6483964e-7,0.0023431794,0.9171843,0.009236641,0.012729546,0.014654961,0.00014378023],"about_ca_topic_score_codex":0.000060088616,"about_ca_topic_score_gemma":0.000039989216,"teacher_disagreement_score":0.7927727,"about_ca_system_score_codex":0.000017685044,"about_ca_system_score_gemma":0.000007875873,"threshold_uncertainty_score":0.99329346},"labels":[],"label_agreement":null},{"id":"W2118089750","doi":"10.1145/1013329.1013337","title":"Event reconstruction in time warp","year":2004,"lang":"en","type":"article","venue":"Proceedings - Workshop on Parallel and Distributed Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Overhead (engineering); Event (particle physics); Granularity; Queue; Parallel computing; State (computer science); Discrete event simulation; Real-time computing; Distributed computing; Embedded system; Algorithm; Operating system; Simulation; Computer network","score_opus":0.0587940816186351,"score_gpt":0.3694594834120105,"score_spread":0.31066540179337543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118089750","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":[0.8359115,0.000040579438,0.15926544,0.0021887398,0.000052183932,0.00056338776,0.000026766485,0.00017937971,0.0017720166],"genre_scores_gemma":[0.99786735,0.000024062869,0.001518518,0.00013211349,0.0000597393,0.000056373334,0.000055671888,0.000010850054,0.0002753332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789417,0.000016134856,0.0006734427,0.0005425985,0.0006400618,0.00023358116],"domain_scores_gemma":[0.99883246,0.0003577326,0.0002486295,0.00016654242,0.00027572832,0.000118926146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081661413,0.00017701938,0.0002350196,0.00030043666,0.00019818482,0.00029125376,0.00022970371,0.00016936626,0.00013384926],"category_scores_gemma":[0.0008568381,0.00015055982,0.000067542125,0.0011408521,0.00006529508,0.0004824663,0.000060391834,0.0001877401,0.00013667227],"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":[0.00015044515,0.00016243203,0.015993342,0.0000040165287,0.0000056300987,7.876894e-7,0.00023227277,0.9203389,0.00019664962,0.011854767,0.00040962527,0.050651077],"study_design_scores_gemma":[0.0022345055,0.00010181877,0.079367645,0.00015696774,0.000014556189,0.000011590213,0.00058449816,0.5468641,0.00021758802,0.36449462,0.005498124,0.00045399845],"about_ca_topic_score_codex":0.000008765012,"about_ca_topic_score_gemma":0.0000029402484,"teacher_disagreement_score":0.37347487,"about_ca_system_score_codex":0.00013128461,"about_ca_system_score_gemma":0.000024183239,"threshold_uncertainty_score":0.61396515},"labels":[],"label_agreement":null},{"id":"W2118163517","doi":"10.1177/0037549712450360","title":"System theoretic foundations of modeling and simulation: a historic perspective and the legacy of A Wayne Wymore","year":2012,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":42,"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 Ottawa","funders":"","keywords":"Relation (database); Computer science; Perspective (graphical); Modeling and simulation; Software engineering; Discrete event simulation; Event (particle physics); Systems engineering; Theoretical computer science; Artificial intelligence; Engineering; Simulation; Data mining","score_opus":0.09784999611834459,"score_gpt":0.4116190732641028,"score_spread":0.3137690771457582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118163517","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":[0.44613498,0.00067568506,0.54928744,0.00029781114,0.000068187444,0.00059628277,0.000008045401,0.00004277324,0.0028887792],"genre_scores_gemma":[0.99855834,0.00000745303,0.001253987,0.000014250558,0.000069811635,0.000020956757,0.000003058311,0.000008637205,0.00006350682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984494,0.00016609389,0.0005985772,0.00020011906,0.0004766896,0.00010916454],"domain_scores_gemma":[0.9959139,0.0025347397,0.0003730824,0.00037248404,0.0007560191,0.000049744638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016585464,0.00009699808,0.0002413145,0.00018920613,0.00021374396,0.000056434408,0.00013514621,0.000059555394,0.000030053772],"category_scores_gemma":[0.00106932,0.000063907224,0.00006640631,0.000540384,0.00024356968,0.00051527045,0.00006195399,0.00006498932,0.0000030299966],"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":[0.00003813478,0.000018550498,0.0012036943,0.000009718714,0.0000074504233,1.3600606e-8,0.003369673,0.545501,0.00002865625,0.4478117,0.0000028639256,0.0020085433],"study_design_scores_gemma":[0.00048128015,0.00001591094,0.0018284168,0.000017247863,0.000039434435,0.0000010726407,0.0038635107,0.9305663,0.000028873992,0.06293798,0.00015816661,0.00006177721],"about_ca_topic_score_codex":0.00008465092,"about_ca_topic_score_gemma":0.0000025771808,"teacher_disagreement_score":0.55242336,"about_ca_system_score_codex":0.00007423417,"about_ca_system_score_gemma":0.0000253065,"threshold_uncertainty_score":0.2606061},"labels":[],"label_agreement":null},{"id":"W2118450035","doi":"10.1109/icsmc.1997.626188","title":"A computer 3D animated graphical interface for control and teleoperation of a robot system","year":2002,"lang":"en","type":"article","venue":"","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":"University of Alberta","funders":"","keywords":"Teleoperation; Robot; Kinematics; Computer science; Graphical user interface; Computer graphics; Interface (matter); Robot control; Robot kinematics; Graphics; Simulation; Mobile robot; Computer graphics (images); Artificial intelligence","score_opus":0.08108484112593142,"score_gpt":0.37171383805115926,"score_spread":0.2906289969252278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118450035","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":[0.0515753,0.000030350806,0.9466989,0.00053486216,0.000019898584,0.00045897198,0.000012222864,0.00007750299,0.0005919811],"genre_scores_gemma":[0.9651574,0.000001612358,0.03451373,0.000086808745,0.000017997156,0.000041199248,8.539991e-7,0.0000033973681,0.00017698856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914026,0.00003420707,0.0003783646,0.00018765774,0.0001920707,0.00006745294],"domain_scores_gemma":[0.9989512,0.00047350972,0.0000897767,0.00017615416,0.00027404435,0.000035306104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003968821,0.000054271582,0.00015756664,0.000093167364,0.00006338012,0.00007614558,0.00011845042,0.00004470183,0.00009206958],"category_scores_gemma":[0.00006508611,0.000036475874,0.000038642236,0.00023588346,0.000038155336,0.000088116125,0.000019383328,0.000025128154,0.000011094226],"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":[0.0002339222,0.0006408663,0.017775642,0.00011582779,0.0001115107,0.000001095044,0.0014800003,0.01616098,0.046809945,0.55212414,0.06359626,0.30094978],"study_design_scores_gemma":[0.00044143834,0.00010067533,0.0018079854,0.000008000498,0.0000056787535,0.0000034843483,0.000064992484,0.9941965,0.0009509132,0.0005822708,0.0017907637,0.00004732068],"about_ca_topic_score_codex":0.000008585058,"about_ca_topic_score_gemma":0.0000043976725,"teacher_disagreement_score":0.9780355,"about_ca_system_score_codex":0.000006407202,"about_ca_system_score_gemma":0.0000025866625,"threshold_uncertainty_score":0.1487443},"labels":[],"label_agreement":null},{"id":"W2119241261","doi":"10.5555/786111.786244","title":"Implementing parallel Cell-DEVS","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":39,"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; Computer science; Formalism (music); Distributed computing; Simple (philosophy); Parallel computing; Theoretical computer science; Programming language; Modeling and simulation; Simulation","score_opus":0.14865605443574414,"score_gpt":0.44838407794083596,"score_spread":0.2997280235050918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119241261","genre_codex":"other","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":[0.019126441,0.000012913762,0.40121084,0.0003197726,0.000023280656,0.000122309,0.0000013354893,0.00009006441,0.57909304],"genre_scores_gemma":[0.918263,0.0000019515564,0.054006938,0.00035139252,0.000011446907,0.00001805328,0.0000010266698,0.000003618306,0.027342545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889725,0.00003773215,0.0003196442,0.00019941601,0.00037153705,0.00017440491],"domain_scores_gemma":[0.9991125,0.00029874762,0.00007653087,0.00035179843,0.00011187559,0.00004855605],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012908321,0.00004917701,0.0000689764,0.00006558156,0.00017678847,0.000119265176,0.00022820964,0.000022964507,0.0070530204],"category_scores_gemma":[0.00024481426,0.00003442513,0.000049413313,0.00037889587,0.000013418372,0.00009732186,0.00004026352,0.000034302844,0.0008044963],"study_design_candidate":"not_applicable","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":[9.4698277e-7,0.00004769532,0.018138507,5.685845e-7,0.0000019194692,3.859957e-7,0.00010414848,0.00020918997,0.0012727405,0.8534895,0.096569255,0.03016514],"study_design_scores_gemma":[0.000102130965,0.000005977837,0.0011001151,2.9445732e-7,0.0000011214034,7.167263e-7,0.00038083078,0.0009649235,0.007212024,0.11044198,0.87972766,0.000062226696],"about_ca_topic_score_codex":0.000011631026,"about_ca_topic_score_gemma":0.000007700656,"teacher_disagreement_score":0.8991366,"about_ca_system_score_codex":0.0000068337636,"about_ca_system_score_gemma":0.000017466864,"threshold_uncertainty_score":0.9999735},"labels":[],"label_agreement":null},{"id":"W2119467443","doi":"10.1109/wsc.2001.977414","title":"Defining models of urban traffic using the TSC tool","year":2002,"lang":"en","type":"article","venue":"Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"Agencia Nacional de Promoción Científica y Tecnológica","keywords":"Compiler; Computer science; Programming language; Macro; Specification language; Atlas (anatomy); Formal specification; Template; Simple (philosophy); Theoretical computer science; Software engineering","score_opus":0.2681420583649463,"score_gpt":0.391933172452904,"score_spread":0.12379111408795768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119467443","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":[0.8595137,0.000020283156,0.1332899,0.00086362415,0.0002569076,0.0007317254,0.00002950064,0.00009805914,0.005196285],"genre_scores_gemma":[0.98043054,0.000007811345,0.017975444,0.0001411725,0.00010463496,0.000023689938,0.00000242017,0.000024646879,0.0012896246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966811,0.00009587569,0.0012636402,0.00048808954,0.001140761,0.00033054553],"domain_scores_gemma":[0.9952707,0.0010334088,0.001035649,0.0007964786,0.0017938006,0.00006994227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013636384,0.00025083532,0.00039850886,0.00024066449,0.00035007886,0.00022095231,0.001552229,0.00012290069,0.0007993145],"category_scores_gemma":[0.0012411015,0.000156802,0.00026781685,0.0010794594,0.00027082313,0.0006738749,0.00026984315,0.00017670602,0.000054601187],"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":[0.00003986469,0.00018493045,0.010429073,0.000029072642,0.00004669671,1.3656319e-7,0.0051349755,0.9330553,0.012199309,0.020768894,0.003299731,0.014812006],"study_design_scores_gemma":[0.00024870437,0.000034998273,0.00060068525,0.00011628518,0.000036760455,0.0000020413943,0.00051351194,0.98114705,0.0016756026,0.015030991,0.00041317494,0.00018017557],"about_ca_topic_score_codex":0.000024255734,"about_ca_topic_score_gemma":0.0000034350758,"teacher_disagreement_score":0.120916836,"about_ca_system_score_codex":0.00006192802,"about_ca_system_score_gemma":0.00008341352,"threshold_uncertainty_score":0.87519336},"labels":[],"label_agreement":null},{"id":"W2120387458","doi":"10.5555/2431518.2431875","title":"Modelling and simulation-based design of a distributed devs simulator","year":2011,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"DEVS; Computer science; Computer architecture simulator; Discrete event simulation; Formalism (music); Network simulation; Simulation; Distributed computing; Modeling and simulation; Implementation; Simulation modeling; Programming language","score_opus":0.3453618887804615,"score_gpt":0.3998737877421145,"score_spread":0.05451189896165304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120387458","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":[0.052128855,0.000021427728,0.9468174,0.00006503132,0.000043589058,0.0004732643,0.0000498998,0.000109311884,0.00029125274],"genre_scores_gemma":[0.96920097,0.0000015759061,0.030568201,0.000073119096,0.000020215128,0.000020688874,0.000014831432,0.000015440657,0.00008495721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755645,0.00016328057,0.0009579493,0.0005041741,0.00062224834,0.00019587953],"domain_scores_gemma":[0.9939275,0.0035877628,0.0004505714,0.00063385256,0.0012730985,0.0001272333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008289875,0.00019879072,0.00031987004,0.00028742058,0.00013384098,0.00011045922,0.0004204582,0.00012671667,0.0008022356],"category_scores_gemma":[0.00085943186,0.00017130005,0.00008934657,0.00057653,0.00014903246,0.0003678896,0.00007679605,0.000107108666,0.000035704008],"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":[0.00008039613,0.000055136243,0.00322745,0.0000039880997,0.000007873416,3.725178e-7,0.00047865187,0.98956776,0.00005385246,0.0020248222,0.000012539291,0.0044871545],"study_design_scores_gemma":[0.00038668513,0.00007498883,0.0012935719,0.00003036778,0.000016125103,1.7329687e-7,0.00007792091,0.9660581,0.0011193115,0.030093579,0.00066969194,0.00017949895],"about_ca_topic_score_codex":0.00002846585,"about_ca_topic_score_gemma":0.0000018916733,"teacher_disagreement_score":0.9170721,"about_ca_system_score_codex":0.000024348528,"about_ca_system_score_gemma":0.000093268325,"threshold_uncertainty_score":0.87839174},"labels":[],"label_agreement":null},{"id":"W2120777432","doi":"10.5555/510378.510659","title":"Optimizing earthmoving operations using object-oriented simulation","year":2000,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Task (project management); Computer science; Object (grammar); Systems engineering; Engineering; Engineering drawing","score_opus":0.13970411527404666,"score_gpt":0.4409092649908986,"score_spread":0.30120514971685197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120777432","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":[0.38364944,0.0000119851065,0.59673446,0.00016463593,0.00003424257,0.00021657598,0.0000039849856,0.00018977899,0.018994892],"genre_scores_gemma":[0.9008209,0.000002560519,0.092121735,0.00027732254,0.00006618102,0.000010824889,0.00000630513,0.000010172155,0.0066839964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982696,0.00007210343,0.00054463965,0.0003621302,0.000577817,0.00017367769],"domain_scores_gemma":[0.99865496,0.00042202036,0.00005074535,0.0005001467,0.0002907803,0.000081369304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063399057,0.000102175676,0.00013550937,0.00018489794,0.0005096545,0.00030400083,0.00023331546,0.00006218542,0.011783358],"category_scores_gemma":[0.0002777831,0.00008307254,0.000080361584,0.0010389995,0.00003704113,0.00056389166,0.000035669564,0.00007847759,0.00047883988],"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":[0.0000030004962,0.00001968388,0.00043139124,1.8925203e-7,0.0000020015195,2.5344022e-7,0.0001826052,0.96042687,0.000739585,0.0031066681,0.000097273725,0.03499047],"study_design_scores_gemma":[0.0001218737,0.0000105760455,0.0008352252,0.000004143515,0.0000044895455,0.0000017411651,0.00013576324,0.97150713,0.0010248997,0.0015009482,0.024742426,0.00011075955],"about_ca_topic_score_codex":0.00009410676,"about_ca_topic_score_gemma":0.000025729849,"teacher_disagreement_score":0.5171715,"about_ca_system_score_codex":0.00003460664,"about_ca_system_score_gemma":0.000041449613,"threshold_uncertainty_score":0.98912},"labels":[],"label_agreement":null},{"id":"W2121795802","doi":"10.5555/2433508.2433877","title":"RISE: REST-ing heterogeneous simulations interoperability","year":2010,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"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":0.15178496863324764,"score_gpt":0.440528505675315,"score_spread":0.28874353704206734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121795802","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":[0.60620886,0.0000058787014,0.38819385,0.0008779318,0.0004130282,0.00040330223,0.00004541743,0.00026281216,0.0035889542],"genre_scores_gemma":[0.9947315,6.962725e-7,0.0034221655,0.000293472,0.0001766068,0.000030101262,0.0000209733,0.000022219872,0.0013022932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99682343,0.00017774904,0.0010632008,0.0008028102,0.0008401407,0.00029268424],"domain_scores_gemma":[0.9948256,0.0017213211,0.0003165536,0.0015321905,0.0014053403,0.00019898204],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009966514,0.00023821654,0.00029741644,0.00029936785,0.00035571365,0.0006320045,0.0009614314,0.0001779087,0.00685365],"category_scores_gemma":[0.0024039128,0.00019939718,0.00016821509,0.0006480903,0.0002039837,0.00060198136,0.00023297842,0.00043141874,0.0005916269],"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":[0.00012656354,0.00044575176,0.0813112,0.000011013268,0.000047544378,0.000005908981,0.0026101943,0.6182989,0.0575457,0.029823521,0.0014598924,0.20831382],"study_design_scores_gemma":[0.00028167508,0.000040525854,0.01784248,0.000011652233,0.000009941383,0.000004316546,0.00006671964,0.8845745,0.0030300799,0.03829543,0.05556601,0.00027668153],"about_ca_topic_score_codex":0.000028626138,"about_ca_topic_score_gemma":0.0002460183,"teacher_disagreement_score":0.38852262,"about_ca_system_score_codex":0.000038071546,"about_ca_system_score_gemma":0.00007998626,"threshold_uncertainty_score":0.9940542},"labels":[],"label_agreement":null},{"id":"W2122119594","doi":"10.1177/0037549707083111","title":"Modeling and Improving Emergency Department Systems using Discrete Event Simulation","year":2007,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":258,"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 de Moncton","funders":"","keywords":"Discrete event simulation; Emergency department; Event (particle physics); Computer science; Resource (disambiguation); Throughput; Service (business); Operations management; Simulation; Medicine; Operating system; Engineering; Computer network; Business; Nursing","score_opus":0.1405076877365009,"score_gpt":0.46265940156769425,"score_spread":0.32215171383119334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122119594","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":[0.44869572,0.00009331612,0.55049866,0.000015624108,0.000133587,0.00037258456,0.0000048684233,0.000065015105,0.000120608514],"genre_scores_gemma":[0.9966691,0.000003891238,0.0029681998,0.000015482088,0.00017297205,0.00000999374,0.000016737155,0.000018463394,0.00012512687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737173,0.000071752664,0.0010352015,0.00046227506,0.00081108155,0.00024797482],"domain_scores_gemma":[0.9982772,0.00048637862,0.00029364644,0.00040577078,0.00042078324,0.00011623392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002359286,0.00015375996,0.00018395521,0.0002772229,0.00037366492,0.00015717554,0.00015211765,0.00010319947,0.00004855771],"category_scores_gemma":[0.00045974177,0.0001329662,0.00007365889,0.0005393504,0.000019085805,0.00051174534,0.00008013617,0.00008275812,0.0000151063805],"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":[0.000014471164,0.000013204777,0.00395224,0.0000045662496,0.0000038668095,3.211061e-7,0.00011889756,0.9779908,0.0006949456,0.0010447936,0.000002412399,0.016159464],"study_design_scores_gemma":[0.0001674382,0.000020229783,0.0028318895,0.0000108990325,0.000016501075,8.633277e-7,0.00020234214,0.9897825,0.00008541563,0.006253978,0.00047021566,0.0001577357],"about_ca_topic_score_codex":0.00011026428,"about_ca_topic_score_gemma":0.000017746192,"teacher_disagreement_score":0.5479734,"about_ca_system_score_codex":0.00011067465,"about_ca_system_score_gemma":0.000021044869,"threshold_uncertainty_score":0.5422205},"labels":[],"label_agreement":null},{"id":"W2122361095","doi":"10.5555/1516744.1516943","title":"Design and implementation of an XML-based, technology-unified data pipeline for interactive simulation","year":2008,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","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":"Defence Research and Development Canada; Université Laval","funders":"","keywords":"Computer science; XML; XQuery; XSLT; XML framework; XML database; Pipeline (software); Data modeling; Streaming XML; Software engineering; Database; Programming language; World Wide Web","score_opus":0.3319110850614539,"score_gpt":0.5034203362007386,"score_spread":0.17150925113928467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122361095","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":[0.10884735,0.000008505641,0.88924146,0.0005754225,0.000058004163,0.0010142078,0.00011067134,0.00010035611,0.00004402647],"genre_scores_gemma":[0.9383946,0.0000019208876,0.061097767,0.000104381565,0.000044371725,0.000056220262,0.00021339329,0.000013349387,0.00007396732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784625,0.000124432,0.0008240561,0.0006291913,0.00042443527,0.00015163972],"domain_scores_gemma":[0.9947978,0.0022153098,0.0005226079,0.0010165058,0.0013820336,0.00006573164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097334106,0.00015723314,0.00025656392,0.00047599015,0.00017973743,0.000083036866,0.00065557606,0.0001106416,0.00021318592],"category_scores_gemma":[0.00072459696,0.00014080314,0.00003776757,0.00052698323,0.00015323368,0.00095163385,0.00014109019,0.00008835344,0.000008063959],"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":[0.00025805915,0.00012287429,0.0035725802,0.000008051511,0.000014496697,5.7433203e-7,0.0010970745,0.799148,0.001806677,0.0016186605,0.0002787572,0.1920742],"study_design_scores_gemma":[0.00082742004,0.00015155702,0.0025746012,0.000013873944,0.000015930978,0.0000013600389,0.00059457234,0.97655165,0.006660216,0.010515332,0.0019508565,0.00014264077],"about_ca_topic_score_codex":0.000018934488,"about_ca_topic_score_gemma":0.000019762927,"teacher_disagreement_score":0.8295473,"about_ca_system_score_codex":0.000025221469,"about_ca_system_score_gemma":0.000120462544,"threshold_uncertainty_score":0.5741786},"labels":[],"label_agreement":null},{"id":"W2122426387","doi":"10.5555/564124.564214","title":"Web II: web-based simulation of systems described by partial differential equations","year":2001,"lang":"en","type":"article","venue":"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":"McGill University","funders":"","keywords":"Computer science; Compiler; Polygon mesh; Java; Generator (circuit theory); Programming language; Partial differential equation; SBML; Object-oriented programming; Web application; Code (set theory); The Internet; Code generation; Computational science; Object (grammar); Distributed computing; XML; Operating system; Computer graphics (images); Artificial intelligence","score_opus":0.15422125996784164,"score_gpt":0.3964623356062298,"score_spread":0.24224107563838815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122426387","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":[0.21769798,0.000025010659,0.77960265,0.00034086566,0.00026017547,0.0005823399,0.00012840176,0.00018504201,0.0011775622],"genre_scores_gemma":[0.99734807,0.0000027423362,0.00030814033,0.00009480546,0.00012355241,0.00008186874,0.00014275905,0.000023323755,0.0018747161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597996,0.00028835065,0.001488479,0.00064259476,0.00129592,0.00030467004],"domain_scores_gemma":[0.9943727,0.00231023,0.00072414667,0.00091034884,0.0015225424,0.00016000021],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069266005,0.00026981856,0.0004349306,0.00040677565,0.00033772134,0.00032869284,0.00066644436,0.0001930604,0.0024090565],"category_scores_gemma":[0.0010997152,0.00023789839,0.00019501068,0.0009396124,0.00015289117,0.00051139307,0.000117548494,0.00016120324,0.0001250362],"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":[0.00008282388,0.00020476959,0.0036286653,0.000005259182,0.000015196943,4.2875595e-7,0.00017538539,0.9766074,0.008073696,0.004128018,0.0011850479,0.005893316],"study_design_scores_gemma":[0.0009805984,0.00010060996,0.00086541986,0.000040345814,0.000027614096,3.9203223e-7,0.00008031008,0.9623007,0.0011468048,0.0010568778,0.03316043,0.00023990755],"about_ca_topic_score_codex":0.000036941437,"about_ca_topic_score_gemma":0.00001851563,"teacher_disagreement_score":0.7796501,"about_ca_system_score_codex":0.0000675323,"about_ca_system_score_gemma":0.00018298796,"threshold_uncertainty_score":0.99850285},"labels":[],"label_agreement":null},{"id":"W2123231389","doi":"10.2514/6.2006-6724","title":"Mission-Based Simulation Software Development for Optimizing Air Vehicle Life Cycle Costs","year":2006,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Impact","funders":"","keywords":"Software; Systems engineering; Component (thermodynamics); Reliability (semiconductor); Engineering; Air combat; Architecture; Test bench; Computer science; Reliability engineering; Aeronautics; Embedded system; Operating system","score_opus":0.10558114267805009,"score_gpt":0.3622942770042506,"score_spread":0.2567131343262005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123231389","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":[0.39429343,0.000134208,0.6039166,0.0006981803,0.000016964226,0.00034050908,0.000008312308,0.0005346377,0.000057183177],"genre_scores_gemma":[0.9428821,0.000011828528,0.05673974,0.00014684233,0.000022859183,0.000060152146,0.00004062138,0.00001647039,0.00007938704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979258,0.000029996074,0.00073217327,0.0006239485,0.00041786648,0.00027020098],"domain_scores_gemma":[0.9973998,0.0012824116,0.00022112766,0.00039173337,0.0006326689,0.00007223949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060599064,0.00021768447,0.00028702026,0.00032228796,0.0006873269,0.0002632945,0.00025228946,0.0002633301,0.000015083573],"category_scores_gemma":[0.0012177364,0.00018523775,0.000059880094,0.00035405895,0.00009988654,0.00031908706,0.00011331799,0.00012980709,0.000006180322],"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":[0.00002332526,0.000020216816,0.0014874489,0.00000738965,0.000002842728,1.4295095e-7,0.000052249492,0.8500176,0.00015583125,0.0011985251,0.000026935515,0.14700751],"study_design_scores_gemma":[0.00049869675,0.00003693622,0.00038360842,0.00004711718,0.000009785646,2.1542273e-7,0.00047934003,0.9523579,0.0015360997,0.043076113,0.0013324432,0.0002417626],"about_ca_topic_score_codex":0.000035716053,"about_ca_topic_score_gemma":0.000009518645,"teacher_disagreement_score":0.5485887,"about_ca_system_score_codex":0.000044701137,"about_ca_system_score_gemma":0.0001079791,"threshold_uncertainty_score":0.7553776},"labels":[],"label_agreement":null},{"id":"W2123512569","doi":"10.1177/0272989x14559729","title":"Psst, Have I Got a Model for You . . .","year":2014,"lang":"en","type":"editorial","venue":"Medical Decision Making","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.11254584941191156,"score_gpt":0.49519890766808483,"score_spread":0.38265305825617324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123512569","genre_codex":"methods","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014523245,0.0000755704,0.7357211,0.0005498552,0.2606371,0.00056192384,0.00021517205,0.00016300204,0.0020617172],"genre_scores_gemma":[0.01134942,0.00007097328,0.12925732,0.001251405,0.84241194,0.00065102,0.0002243236,0.00015898186,0.014624638],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98514,0.00015559432,0.0022134415,0.0015717761,0.010351154,0.0005679994],"domain_scores_gemma":[0.95314676,0.041320194,0.0010051331,0.0021508273,0.0018746143,0.00050249055],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010452385,0.00046303342,0.0010492746,0.0005929755,0.00044783787,0.00059199886,0.0033631928,0.0020875337,0.0014081121],"category_scores_gemma":[0.11894402,0.0003378498,0.00063232327,0.0005566822,0.00018616243,0.00015427434,0.00068288454,0.001086452,0.00042134002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004253352,0.000028641554,0.0000036867093,0.0000060780044,0.00000576203,0.0000016418147,0.000030239984,0.00068556145,7.0352377e-7,0.0014041149,0.67988217,0.31790885],"study_design_scores_gemma":[0.00026655136,0.000030311236,0.0000017644909,0.00016187069,0.000013968556,7.996253e-7,0.000008216287,0.37779796,0.000001317444,0.17497155,0.4465697,0.00017596882],"about_ca_topic_score_codex":0.000005673626,"about_ca_topic_score_gemma":0.000041265244,"teacher_disagreement_score":0.6064638,"about_ca_system_score_codex":0.00013663433,"about_ca_system_score_gemma":0.00067602325,"threshold_uncertainty_score":0.9999074},"labels":[],"label_agreement":null},{"id":"W2123696482","doi":"10.5555/2693848.2693977","title":"Simulation by example for complex systems","year":2014,"lang":"en","type":"article","venue":"Winter Simulation Conference","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":"University of Calgary","funders":"","keywords":"Computer science; Process (computing); Representativeness heuristic; Business process modeling; Complex system; Business process; Instrumentation (computer programming); Business process management; Management science; Systems engineering; Data science; Risk analysis (engineering); Process management; Work in process; Engineering; Artificial intelligence; Operations management","score_opus":0.34144002046646266,"score_gpt":0.45495748558680343,"score_spread":0.11351746512034078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123696482","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":[0.009281899,0.000010163831,0.9854771,0.00043507913,0.0002043906,0.00084935426,0.00008012564,0.0002150937,0.003446831],"genre_scores_gemma":[0.992732,4.1259707e-7,0.0035906644,0.00035513347,0.00016649002,0.00011903424,0.00014981643,0.000020733345,0.0028657387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741155,0.00017363923,0.00087339437,0.0006141063,0.0006843817,0.00024290792],"domain_scores_gemma":[0.9915582,0.0058356035,0.00039386356,0.00077327096,0.0013185807,0.00012049684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013365996,0.00018804145,0.00030571723,0.00017682262,0.00026228922,0.00056720246,0.0005712663,0.000116793744,0.0005994653],"category_scores_gemma":[0.0016010585,0.000161819,0.00011732053,0.00035758852,0.000067815636,0.0003882738,0.00006814949,0.00007888469,0.0002131784],"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":[0.000023330529,0.000037113117,0.0009282441,0.000005670643,0.000006523115,2.2848752e-8,0.00017061009,0.93666375,0.00089580397,0.025845148,0.007847472,0.027576327],"study_design_scores_gemma":[0.00027491222,0.000043766646,0.0008302131,0.0000076598635,0.0000052807277,1.303145e-7,0.000047808542,0.6443977,0.00008587984,0.012710653,0.3414659,0.0001301007],"about_ca_topic_score_codex":0.00004602092,"about_ca_topic_score_gemma":0.000007336829,"teacher_disagreement_score":0.98345006,"about_ca_system_score_codex":0.000040623898,"about_ca_system_score_gemma":0.00002590314,"threshold_uncertainty_score":0.65987873},"labels":[],"label_agreement":null},{"id":"W2124382284","doi":"10.1109/ipdpsw.2012.181","title":"Scheduling of Tasks in the Parareal Algorithm for Heterogeneous Cloud Platforms","year":2012,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cloud computing; Distributed computing; Scheduling (production processes); Latency (audio); Parallel computing; Execution time; Symmetric multiprocessor system; Dynamic priority scheduling; Algorithm; Mathematical optimization; Computer network; Operating system","score_opus":0.17061282279060838,"score_gpt":0.43739745958566295,"score_spread":0.2667846367950546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124382284","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":[0.29600474,0.000058326055,0.70141166,0.0001843219,0.000065392655,0.0004093079,0.000017787092,0.000023548475,0.0018249418],"genre_scores_gemma":[0.9305597,0.000002503472,0.06890702,0.00022120404,0.00009180438,0.000075527634,0.000004193917,0.0000036001068,0.00013446031],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899065,0.000014804047,0.00038106294,0.000115972514,0.00034251402,0.00015499821],"domain_scores_gemma":[0.9985291,0.0009257829,0.00010241087,0.00032516106,0.00008419963,0.000033352957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016892469,0.000054227366,0.000108472115,0.000075875876,0.000063474814,0.00003332676,0.00038454143,0.000045496454,0.00010189011],"category_scores_gemma":[0.00014986875,0.000027998502,0.000073577015,0.00031775684,0.00003198301,0.0001332096,0.000031808566,0.000037845475,0.000016294098],"study_design_candidate":"design_other","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":[0.000014949126,0.0002941103,0.013826356,0.0000032677228,0.000009862592,2.770064e-7,0.0017624125,0.0022207382,0.000264359,0.11746996,0.0038121128,0.8603216],"study_design_scores_gemma":[0.00096461986,0.00017737302,0.01031932,0.0000129703585,0.000017100101,0.00002686495,0.0040862164,0.434695,0.03568603,0.42250565,0.09114215,0.000366723],"about_ca_topic_score_codex":0.000021147249,"about_ca_topic_score_gemma":0.000008236478,"teacher_disagreement_score":0.8599549,"about_ca_system_score_codex":0.000007802633,"about_ca_system_score_gemma":0.000010926178,"threshold_uncertainty_score":0.114174575},"labels":[],"label_agreement":null},{"id":"W2126498500","doi":"10.1117/12.2018295","title":"High-fidelity modeling and simulation for wideband receiving system development","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Wideband; Waveform; High fidelity; Fidelity; Antenna (radio); SIGNAL (programming language); Radio frequency; MATLAB; Electronic engineering; Embedded system; Simulation; Electrical engineering; Telecommunications","score_opus":0.03841259860889852,"score_gpt":0.3000556248598416,"score_spread":0.2616430262509431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126498500","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":[0.9790562,0.000036656726,0.017882692,0.0011883695,0.00010206172,0.0012509754,0.000019547319,0.000103269456,0.0003602737],"genre_scores_gemma":[0.74479324,0.0000072762123,0.25450668,0.000041836036,0.00013410108,0.00038834836,0.0000045006846,0.000023758214,0.000100251105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719423,2.3322311e-8,0.0011959262,0.00046690617,0.0008694143,0.00027350316],"domain_scores_gemma":[0.9945375,0.00074353087,0.0005037774,0.000078812736,0.0040213927,0.00011499516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017361416,0.0002273546,0.00037800058,0.00012865187,0.00019818459,0.00032003524,0.0007288111,0.00015791837,0.000010815616],"category_scores_gemma":[0.0016444095,0.00017444622,0.00030018773,0.00032905018,0.000092040944,0.000753377,0.00015841794,0.00014247652,0.0000021991902],"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":[0.000090335125,0.00009684147,0.0010108403,0.0004797914,0.00024139183,1.12796075e-8,0.00058089406,0.043010164,0.22147931,0.7233765,0.002429769,0.007204119],"study_design_scores_gemma":[0.00068284763,0.00006567741,0.0008656507,0.00017101369,0.000041618106,0.0000019444308,0.0015263355,0.9605612,0.023360865,0.0112409545,0.0012591038,0.00022276683],"about_ca_topic_score_codex":0.000020728037,"about_ca_topic_score_gemma":1.8074117e-7,"teacher_disagreement_score":0.91755104,"about_ca_system_score_codex":0.00014939516,"about_ca_system_score_gemma":0.000031256586,"threshold_uncertainty_score":0.71137106},"labels":[],"label_agreement":null},{"id":"W2127184421","doi":"10.1109/simsym.1993.639141","title":"Towards An Object-oriented Simulation Environment For Manufacturing Systems Analysis","year":2005,"lang":"en","type":"article","venue":"","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":"Polytechnique Montréal","funders":"","keywords":"Modular design; Workspace; Reusability; Computer science; Component (thermodynamics); Systems engineering; Software engineering; Set (abstract data type); Strengths and weaknesses; Focus (optics); Object-oriented programming; Point (geometry); Object (grammar); Software; Human–computer interaction; Engineering; Artificial intelligence","score_opus":0.09483981139224737,"score_gpt":0.41344300693544767,"score_spread":0.31860319554320027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127184421","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":[0.12280173,0.00001335409,0.8742526,0.00024313261,0.000029571902,0.00049076055,0.000022925242,0.00012346882,0.0020224508],"genre_scores_gemma":[0.97054744,0.000002140532,0.026023917,0.00009430654,0.00011442314,0.00011331448,0.000043236098,0.000007955184,0.003053288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981557,0.000049284674,0.0005593561,0.00043279733,0.0006458992,0.00015695489],"domain_scores_gemma":[0.9985981,0.00039206285,0.00016783414,0.0006419921,0.000100482765,0.00009950584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095761823,0.00010438227,0.00020378712,0.00034497888,0.00018666526,0.00018029724,0.0002731914,0.00006413282,0.00077684683],"category_scores_gemma":[0.00007932435,0.00007793889,0.00016268248,0.00040970286,0.00001991263,0.0003362621,0.000039003506,0.000036374484,0.00010603993],"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":[0.000006226992,0.000043409986,0.00049828464,6.222724e-7,0.000026608654,3.357969e-8,0.000078456564,0.9346471,0.000057574616,0.0031791972,0.00016575497,0.061296772],"study_design_scores_gemma":[0.00011949933,0.00002528714,0.0063494532,5.846445e-7,0.000052546315,1.3410695e-7,0.0001791443,0.78727525,0.0027959847,0.0011160878,0.20199248,0.000093565795],"about_ca_topic_score_codex":0.000061653845,"about_ca_topic_score_gemma":0.00002335197,"teacher_disagreement_score":0.8482287,"about_ca_system_score_codex":0.00007846325,"about_ca_system_score_gemma":0.0000107635315,"threshold_uncertainty_score":0.85059285},"labels":[],"label_agreement":null},{"id":"W2127760159","doi":"10.5555/1030453.1030535","title":"Extensions: performance analysis of real-time DEVS models","year":2002,"lang":"en","type":"article","venue":"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":"DEVS; Benchmarking; Computer science; Formalism (music); Execution time; Discrete event simulation; Object-oriented modeling; Distributed computing; Modeling and simulation; Simulation; Programming language; Software","score_opus":0.25340128924496524,"score_gpt":0.40167371109369054,"score_spread":0.1482724218487253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127760159","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":[0.5305286,0.00001733214,0.43839386,0.0002743281,0.000039181246,0.0002425013,0.00003172601,0.00012926431,0.030343205],"genre_scores_gemma":[0.9924761,0.00003195226,0.0029603448,0.00009514517,0.000017822573,0.000014858126,0.0000152314005,0.000007989158,0.0043805633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976769,0.00008435177,0.00088184985,0.00042861,0.0007680076,0.0001602579],"domain_scores_gemma":[0.9965108,0.00095403165,0.00037743288,0.00088756764,0.0011883614,0.00008179606],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057602994,0.00013597422,0.00037677918,0.00069521886,0.00011534773,0.00010358296,0.00052473013,0.000082822706,0.00713262],"category_scores_gemma":[0.0002934155,0.00011132659,0.00019267356,0.0020569463,0.000090127956,0.0005527461,0.00009334212,0.0000756053,0.0003553321],"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":[0.000011723249,0.00006828406,0.004807545,0.0000018414089,0.00006814878,2.6459966e-7,0.00066746905,0.948034,0.00079885597,0.0055983523,0.00068786164,0.03925564],"study_design_scores_gemma":[0.000113931914,0.000028070466,0.01663766,0.000012313478,0.00008551741,2.7322142e-7,0.00004586497,0.9760666,0.00031635462,0.0054604793,0.0011116846,0.00012125535],"about_ca_topic_score_codex":0.000018675475,"about_ca_topic_score_gemma":0.00000577454,"teacher_disagreement_score":0.4619475,"about_ca_system_score_codex":0.000022970255,"about_ca_system_score_gemma":0.000017055687,"threshold_uncertainty_score":0.993775},"labels":[],"label_agreement":null},{"id":"W2128175019","doi":"10.1109/wsc.2002.1172948","title":"Distributed simulation and industry: potentials and pitfalls","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Computer science; Simulation modeling; Data science; Risk analysis (engineering); Business; Economics","score_opus":0.13677010329100103,"score_gpt":0.44263426201188555,"score_spread":0.3058641587208845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128175019","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":[0.59209037,0.000037650883,0.40127724,0.0006731638,0.000021515712,0.00021228421,0.000018784529,0.00007731191,0.00559168],"genre_scores_gemma":[0.9960846,0.0000035610237,0.0025867755,0.00017379268,0.000009687921,0.00000615317,0.0000042867186,0.0000033212905,0.0011278556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910164,0.000059764032,0.00025818008,0.000233079,0.00026166165,0.000085649415],"domain_scores_gemma":[0.9989914,0.0005211473,0.00007200172,0.00020916485,0.0001262079,0.000080129386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068816287,0.000060807874,0.00009742668,0.00007108251,0.00012325738,0.00018456503,0.000071740214,0.00010936267,0.00051801803],"category_scores_gemma":[0.0008849036,0.00004459126,0.000015820926,0.00033380283,0.000049769853,0.0001579977,0.000031698444,0.0000712615,0.000018318502],"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":[0.000011675843,0.0001100893,0.17806761,0.0000033068532,0.000016991205,0.0000015109208,0.0001793716,0.012497448,0.0022220833,0.71459895,0.011044818,0.08124615],"study_design_scores_gemma":[0.00053708703,0.00004538388,0.1709743,0.0000055430487,0.000015253867,0.000008382947,0.00045225816,0.0890073,0.0036349867,0.516404,0.2186288,0.00028671505],"about_ca_topic_score_codex":0.0000092170885,"about_ca_topic_score_gemma":0.000002013286,"teacher_disagreement_score":0.4039942,"about_ca_system_score_codex":0.0000056672106,"about_ca_system_score_gemma":0.000010729989,"threshold_uncertainty_score":0.56719345},"labels":[],"label_agreement":null},{"id":"W2128760306","doi":"10.1109/iscc.2008.4625688","title":"Performance modeling of a grid-based Data Distribution Management protocol","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Correctness; Computer science; Scheme (mathematics); Overhead (engineering); Distributed computing; Grid; Transmission (telecommunications); Protocol (science); Control (management); Data transmission; Algorithm; Computer network; Mathematics","score_opus":0.39623626942353574,"score_gpt":0.47136914031581817,"score_spread":0.07513287089228243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128760306","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":[0.021872954,5.1787646e-7,0.9488382,0.00018524201,0.000011932827,0.018309679,0.00006881869,0.000078480756,0.010634204],"genre_scores_gemma":[0.9720192,0.0000011109985,0.017076759,0.000044760378,0.000015707225,0.010317744,0.000090424575,0.00000293145,0.00043137444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865705,0.000017757258,0.00041171024,0.00025793273,0.0005739983,0.00008157403],"domain_scores_gemma":[0.99857855,0.00006238632,0.00010206779,0.0010561296,0.00017202506,0.00002882632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067275,0.00005252434,0.0000867291,0.00006227399,0.00012330548,0.000017898115,0.0007064243,0.000022397331,0.00020996651],"category_scores_gemma":[0.00005795507,0.000036982663,0.000025822697,0.0004679424,0.000035953228,0.0002116134,0.00016587031,0.000030763,0.0000428691],"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":[0.0001870584,0.00086868455,0.04770315,0.000096557735,0.000023358525,0.0000032578728,0.0000892655,0.639607,0.00021971427,0.027534219,0.11505601,0.16861169],"study_design_scores_gemma":[0.00019494603,0.000016040798,0.0022356194,0.0000063446632,0.0000019095296,6.139638e-7,0.00001621884,0.9646002,0.00078268396,0.00069447863,0.031404298,0.000046635836],"about_ca_topic_score_codex":0.000012468788,"about_ca_topic_score_gemma":9.981943e-7,"teacher_disagreement_score":0.95014626,"about_ca_system_score_codex":0.000013007196,"about_ca_system_score_gemma":0.00002590296,"threshold_uncertainty_score":0.22989862},"labels":[],"label_agreement":null},{"id":"W2128986489","doi":"10.1109/pacrim.1997.619909","title":"The simulation and execution architecture for the NAVL DVR system","year":2002,"lang":"en","type":"article","venue":"","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":"University of Victoria","funders":"","keywords":"Computer science; Architecture; Thread (computing); Discrete event simulation; Virtual machine; Systems architecture; Virtual reality; Distributed computing; Computer architecture; Embedded system; Operating system; Simulation","score_opus":0.1459069728925315,"score_gpt":0.40904732707998526,"score_spread":0.26314035418745374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128986489","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":[0.0055217184,0.0002874514,0.97963923,0.007767171,0.00007436675,0.00082649454,0.000006882239,0.000119858785,0.00575682],"genre_scores_gemma":[0.9944427,0.000010460201,0.0011763292,0.00016441477,0.00007295053,0.00009870251,7.647589e-7,0.000004274043,0.0040294104],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912184,0.000042792653,0.00024977175,0.00017387338,0.0003167463,0.000094947514],"domain_scores_gemma":[0.9942434,0.005093935,0.00009049488,0.00039006062,0.00015571249,0.000026386699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009188469,0.00005718205,0.000061197985,0.000033230768,0.0008328086,0.00027697952,0.00025657896,0.000036661895,0.00005034574],"category_scores_gemma":[0.00038781977,0.000023229966,0.000049053237,0.00024405027,0.000063745116,0.00006160317,0.00003282269,0.000047259342,0.000030079156],"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":[0.000012989361,0.000012492473,0.00023139895,0.0000032816636,0.00000829658,5.4822483e-8,0.00039099652,0.05887907,0.00008302724,0.23350151,0.02100548,0.6858714],"study_design_scores_gemma":[0.0000669151,0.0000112119515,0.0007063026,0.0000019162728,0.000004353635,0.0000014272251,0.00039742122,0.69952315,0.0000637753,0.015225444,0.28396642,0.000031661213],"about_ca_topic_score_codex":0.000008296286,"about_ca_topic_score_gemma":0.000013379442,"teacher_disagreement_score":0.988921,"about_ca_system_score_codex":0.000012964021,"about_ca_system_score_gemma":0.0000029669932,"threshold_uncertainty_score":0.64053744},"labels":[],"label_agreement":null},{"id":"W2129254617","doi":"10.5555/336146.336150","title":"Applying parallel discrete event simulation to network emulation","year":2000,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":51,"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":"Computer science; Discrete event simulation; Kernel (algebra); Emulation; Event (particle physics); Interface (matter); Network simulation; Workstation; Network traffic simulation; Internet Protocol; Parallel computing; The Internet; Distributed computing; Operating system; Computer network; Simulation; Network traffic control; Network packet","score_opus":0.10252296947781954,"score_gpt":0.4486375819422138,"score_spread":0.3461146124643943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129254617","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":[0.031192591,0.000011702711,0.9373989,0.0011637401,0.000048447553,0.0011608724,0.0000044668104,0.00023975153,0.028779523],"genre_scores_gemma":[0.95491016,0.0000025104255,0.030351538,0.001085621,0.00018532407,0.0002854647,0.000015571943,0.000011356745,0.013152453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789417,0.00006974582,0.0006223731,0.00042147606,0.00076480064,0.00022741158],"domain_scores_gemma":[0.9984511,0.00059182756,0.000091456975,0.0005795872,0.00014963084,0.00013640957],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00091591413,0.0001158678,0.0001576708,0.000104151106,0.000283738,0.00020140332,0.00033559868,0.00006344296,0.0076593026],"category_scores_gemma":[0.0001506703,0.00008925133,0.00009381027,0.0010469015,0.000015719555,0.00026551905,0.000046763587,0.000062593455,0.0021961424],"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":[0.000011952599,0.000008899838,0.0013819162,1.9399839e-7,0.0000014999259,9.3076665e-8,0.00004288435,0.76240444,0.000017194488,0.004571621,0.003561885,0.2279974],"study_design_scores_gemma":[0.00009184739,0.000018149989,0.011281221,0.000004033668,0.0000029107207,2.9573675e-7,0.000023778905,0.5927529,0.000017597147,0.05430838,0.34138754,0.000111359266],"about_ca_topic_score_codex":0.000026146308,"about_ca_topic_score_gemma":0.0000151905315,"teacher_disagreement_score":0.92371756,"about_ca_system_score_codex":0.000033400363,"about_ca_system_score_gemma":0.000013806928,"threshold_uncertainty_score":0.99858075},"labels":[],"label_agreement":null},{"id":"W2130733248","doi":"10.1109/wsc.2002.1172929","title":"Cell-DEVS quantization techniques in a fire spreading application","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"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; Correctness; Computer science; Quantization (signal processing); Formalism (music); Execution time; Modeling and simulation; Distributed computing; Theoretical computer science; Parallel computing; Computational science; Computer engineering; Programming language; Algorithm; Simulation","score_opus":0.07524791726869785,"score_gpt":0.4079029979131301,"score_spread":0.3326550806444323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130733248","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":[0.0632857,0.000034545803,0.8155828,0.00035247754,0.00002198348,0.0006266156,0.000002062651,0.00030114583,0.119792655],"genre_scores_gemma":[0.968219,0.000014468619,0.029287638,0.00019618066,0.0000136592525,0.00017317041,0.000006067351,0.000009636281,0.0020802068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99840903,0.000086667205,0.0005447922,0.00038118404,0.00043109508,0.00014721384],"domain_scores_gemma":[0.9987635,0.0003467314,0.00015178985,0.0005169235,0.000172661,0.000048405833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013553498,0.00009547474,0.00013747695,0.00024367233,0.000099165256,0.000114798226,0.00029670438,0.000092583505,0.0003350355],"category_scores_gemma":[0.0004317118,0.000078304955,0.000046584228,0.001456132,0.000027499533,0.00025915756,0.000026444599,0.00007897145,0.00021360096],"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":[0.000008018803,0.00029712726,0.09671842,0.00000674737,0.0000021530761,8.6134304e-7,0.00038872988,0.00080128724,0.026248883,0.6407889,0.016651122,0.21808775],"study_design_scores_gemma":[0.00028731878,0.000040762527,0.008609643,0.000014798857,0.0000047828717,0.000004225305,0.0006761866,0.046229254,0.45107,0.21704705,0.2756297,0.00038626936],"about_ca_topic_score_codex":0.00007365513,"about_ca_topic_score_gemma":0.00002315997,"teacher_disagreement_score":0.9049333,"about_ca_system_score_codex":0.000046009387,"about_ca_system_score_gemma":0.000031276206,"threshold_uncertainty_score":0.36684036},"labels":[],"label_agreement":null},{"id":"W2132083787","doi":"10.1007/s10479-005-5724-z","title":"A Tutorial on the Cross-Entropy Method","year":2005,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3031,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Cross-entropy method; Theory of computation; Computer science; Cross entropy; Combinatorial optimization; Entropy (arrow of time); Mathematical optimization; Theoretical computer science; Algorithm; Artificial intelligence; Principle of maximum entropy; Mathematics; Quadratic assignment problem","score_opus":0.7469201458343675,"score_gpt":0.7038611654305066,"score_spread":0.043058980403860914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132083787","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":[0.57155424,0.00013379389,0.08853139,0.26313028,0.00021849055,0.0019823012,0.00012861163,0.000104273415,0.074216634],"genre_scores_gemma":[0.97966313,0.000027696451,0.007908563,0.0007017552,0.0004675444,0.00014527961,0.0000037939053,0.0000071245513,0.011075108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99648035,0.00065829855,0.0005007505,0.00028765583,0.0018403969,0.00023255579],"domain_scores_gemma":[0.99274516,0.0035847183,0.00003776972,0.00091587374,0.0026426737,0.0000738311],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0109282,0.000065388194,0.00012060204,0.0003047116,0.0007632008,0.0005526304,0.00091514294,0.00005797087,0.0028312602],"category_scores_gemma":[0.0063959584,0.000037315975,0.00009733613,0.0013289624,0.00021325694,0.0002550446,0.00012836697,0.00026023993,0.00088580826],"study_design_candidate":"not_applicable","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":[0.000033298977,0.00016512256,0.0001719366,5.2233673e-7,0.000008950096,2.2083967e-7,0.00034433047,0.028414195,0.0032202338,0.7754803,0.14408864,0.048072275],"study_design_scores_gemma":[0.00017688618,0.00016115086,0.002531968,0.000007048666,0.000001262759,0.0000011034616,0.0002320933,0.078536995,0.13358814,0.052632134,0.7320391,0.00009210775],"about_ca_topic_score_codex":0.00009192531,"about_ca_topic_score_gemma":0.000035992492,"teacher_disagreement_score":0.7228481,"about_ca_system_score_codex":0.000014986126,"about_ca_system_score_gemma":0.00013244255,"threshold_uncertainty_score":0.9998921},"labels":[],"label_agreement":null},{"id":"W2132352531","doi":"10.1109/ds-rt.2008.14","title":"a .NET Remoting-Based Distributed Simulation Approach for DEVS and Cell-DEVS Models","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Net (polyhedron); Distributed computing; Process (computing); Interface (matter); Discrete event simulation; Operating system; Computer network; Modeling and simulation; Simulation","score_opus":0.22294184178511223,"score_gpt":0.39250561194211353,"score_spread":0.1695637701570013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132352531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039954346,0.000016307236,0.9545714,0.00021105148,0.000010407084,0.0006535863,0.00006796924,0.00016822969,0.004346687],"genre_scores_gemma":[0.8641382,0.0000016105781,0.13458587,0.00020196504,0.000024586883,0.00005827179,0.000120293655,0.000009317248,0.0008599137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846905,0.000035945708,0.0004620315,0.00042003536,0.00044574996,0.00016719443],"domain_scores_gemma":[0.9978083,0.0011589236,0.00015796443,0.00039526017,0.00038562744,0.000093918025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006221752,0.00011501259,0.00017327194,0.00012109388,0.0003440151,0.00009583728,0.00023249112,0.000090591406,0.0000481748],"category_scores_gemma":[0.0003284739,0.00008751811,0.00007425278,0.0004899099,0.00006759379,0.00022327974,0.00003926411,0.00005358784,0.000007797222],"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":[0.00002306566,0.000077257035,0.0009874604,0.000004335096,0.000001886161,1.5302868e-7,0.00009113233,0.98683655,0.00011026173,0.0036549878,0.0043286737,0.003884211],"study_design_scores_gemma":[0.00044198113,0.000029477931,0.0007855248,0.0000013780161,0.0000048408624,0.0000011057025,0.000068489324,0.9754936,0.0010948344,0.016688101,0.005273229,0.00011744626],"about_ca_topic_score_codex":0.000020496058,"about_ca_topic_score_gemma":0.000001910521,"teacher_disagreement_score":0.8241838,"about_ca_system_score_codex":0.000021306334,"about_ca_system_score_gemma":0.000046939273,"threshold_uncertainty_score":0.35688847},"labels":[],"label_agreement":null},{"id":"W2132963427","doi":"10.1109/pads.2009.16","title":"Using REST Web-Services Architecture for Distributed Simulation","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":32,"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":"SOAP; Web service; Computer science; Representational state transfer; World Wide Web; Service-oriented architecture; Interoperability; Web API; WS-I Basic Profile; Architectural style; Web-based simulation; Web modeling; Scalability; Web application; Web server; Web standards; Architecture; Operating system; The Internet; Web intelligence","score_opus":0.18697843376469356,"score_gpt":0.48178320810363423,"score_spread":0.2948047743389407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132963427","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":[0.10806189,0.000011044193,0.88810104,0.0017008997,0.000026661097,0.00039751333,0.00006690006,0.0001642094,0.0014698296],"genre_scores_gemma":[0.9545714,5.097229e-7,0.044420682,0.0006063491,0.00007695403,0.00000870864,0.000043142983,0.0000045836123,0.00026762878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881107,0.000025895817,0.0003678677,0.00028378714,0.000372928,0.00013846815],"domain_scores_gemma":[0.99842656,0.0006951084,0.00013146606,0.000395548,0.00029269847,0.00005865073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044977388,0.00008505104,0.00012261228,0.00012629018,0.00020903807,0.00018207617,0.00031914478,0.000065944485,0.00013910061],"category_scores_gemma":[0.00021593724,0.000060591625,0.00008276982,0.00057510816,0.00001695662,0.00015043026,0.00002185086,0.000045872443,0.000019407647],"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":[0.00005377111,0.00009298896,0.0014568656,0.0000039368974,0.0000051153806,2.9284396e-7,0.0001254084,0.82820326,0.015029778,0.034499973,0.0022311958,0.11829741],"study_design_scores_gemma":[0.00016181644,0.000027863984,0.004103674,0.0000040277296,0.000004635688,5.494586e-7,0.000047618778,0.7339688,0.0007440033,0.18208879,0.07876864,0.00007956071],"about_ca_topic_score_codex":0.000009585349,"about_ca_topic_score_gemma":0.000018573248,"teacher_disagreement_score":0.8465096,"about_ca_system_score_codex":0.000019204554,"about_ca_system_score_gemma":0.000020418624,"threshold_uncertainty_score":0.24708548},"labels":[],"label_agreement":null},{"id":"W2133325186","doi":"10.1109/vecims.2008.4592764","title":"AVRA: a Architecture for VR-based Applications","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; XML; Construct (python library); Focus (optics); Virtual reality; Architecture; Task (project management); Human–computer interaction; Plug-in; Programming language; World Wide Web; Systems engineering","score_opus":0.1952457050564109,"score_gpt":0.44284105268887014,"score_spread":0.24759534763245925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133325186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00195699,0.000013663417,0.9719433,0.0034451175,0.000014137067,0.000886218,0.000030043246,0.00021168485,0.021498831],"genre_scores_gemma":[0.82811755,0.0000014628664,0.16045758,0.0018189326,0.00008556187,0.0014137181,0.0000178833,0.000010195063,0.008077099],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988276,0.000018260418,0.00032290214,0.0003176373,0.0003816852,0.00013193993],"domain_scores_gemma":[0.9978884,0.0010595603,0.00008648338,0.00060591655,0.0002842773,0.00007539614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034718792,0.000077483404,0.000116990566,0.0001544007,0.00034532306,0.000042853888,0.0004301311,0.00005238251,0.0004827942],"category_scores_gemma":[0.00021746148,0.000054504973,0.00012433318,0.0006240353,0.00007884875,0.00004816709,0.000024125833,0.000052520012,0.00022100225],"study_design_candidate":"not_applicable","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":[0.00004095695,0.00036654877,0.0035948998,0.0000064559326,0.000012496253,7.084363e-7,0.00024721856,0.008550522,0.002839357,0.2583389,0.25665602,0.4693459],"study_design_scores_gemma":[0.00016850518,0.000020848285,0.00086621376,7.1408266e-7,0.0000024359726,0.0000029004775,0.000021481375,0.0077776415,0.0030677689,0.10368943,0.88430023,0.00008180355],"about_ca_topic_score_codex":0.0000073460737,"about_ca_topic_score_gemma":0.00000856386,"teacher_disagreement_score":0.82616055,"about_ca_system_score_codex":0.000012113527,"about_ca_system_score_gemma":0.00006398171,"threshold_uncertainty_score":0.5286258},"labels":[],"label_agreement":null},{"id":"W2133720322","doi":"10.1002/9780470012505.tad028","title":"Discretization of Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Discretization; Simple (philosophy); Distribution (mathematics); Applied mathematics; Mathematics; Aggregate (composite); Computer science; Order (exchange); Discretization of continuous features; Discretization error; Algorithm; Mathematical optimization; Mathematical analysis; Materials science; Nanotechnology","score_opus":0.03328963449778183,"score_gpt":0.3810483176375809,"score_spread":0.3477586831397991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133720322","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002401223,0.00004288818,0.11414489,0.00017761804,0.00044303405,0.00040919753,0.00031838528,0.00007372351,0.88415015],"genre_scores_gemma":[0.54190236,0.00052739144,0.02935862,0.00003153118,0.0008261688,0.000064589214,0.00013267167,0.00015883533,0.4269978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99685997,0.00003350491,0.0007214549,0.0004836429,0.0017074734,0.0001939569],"domain_scores_gemma":[0.99746644,0.00025292448,0.0009511752,0.00085641525,0.00036790175,0.00010513641],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010929358,0.000149703,0.00034703192,0.00057967677,0.00010548088,0.000048942304,0.0014477983,0.00015712227,0.0022099966],"category_scores_gemma":[0.0026270202,0.00011362761,0.0001144909,0.0025616954,0.0011395878,0.00018210906,0.00017854809,0.0000971067,0.00006570932],"study_design_candidate":"not_applicable","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":[0.000012541745,0.00023131628,0.001006169,0.000019759356,0.000011759157,4.814825e-7,0.00042732785,0.00020069514,0.0014153126,0.76255435,0.19806844,0.03605183],"study_design_scores_gemma":[0.00020742514,0.00005617252,0.0023652697,0.00008776179,0.000021261681,6.780832e-7,0.000054393066,0.000087999426,0.0022075453,0.057190474,0.9375135,0.00020754416],"about_ca_topic_score_codex":0.0004058226,"about_ca_topic_score_gemma":0.000043959837,"teacher_disagreement_score":0.73944503,"about_ca_system_score_codex":0.00005807543,"about_ca_system_score_gemma":0.00069983915,"threshold_uncertainty_score":0.9987021},"labels":[],"label_agreement":null},{"id":"W2133888634","doi":"10.5555/2433508.2433903","title":"Developing complex distributed simulation for industrial plant construction using high level architecture","year":2010,"lang":"en","type":"article","venue":"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; Architecture; Discrete event simulation; Computer science; Systems engineering; Process (computing); Event (particle physics); Distributed computing; Software engineering; Engineering; Simulation; Operating system; Software","score_opus":0.5331933700793966,"score_gpt":0.4608006661463231,"score_spread":0.07239270393307351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133888634","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":[0.23881194,6.161055e-7,0.7583488,0.0006616775,0.00049329514,0.00077798666,0.00071062695,0.00012833512,0.00006667542],"genre_scores_gemma":[0.9069106,1.5978104e-7,0.09192547,0.00013917965,0.00037491636,0.000038096106,0.00053767755,0.000017825727,0.00005607651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737567,0.00009916661,0.0009894101,0.0006114966,0.0006437421,0.00028051424],"domain_scores_gemma":[0.995215,0.0023326674,0.00055669266,0.0005463243,0.0012366046,0.00011270126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077204796,0.00024152474,0.00032373043,0.0003132921,0.0004368494,0.00044686894,0.00049082027,0.00027675816,0.0005919775],"category_scores_gemma":[0.0018644533,0.00021173582,0.00012763501,0.0005821784,0.00015664233,0.00037640205,0.000103429826,0.00032161493,0.0000222611],"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":[0.00017527066,0.000031089556,0.0032895145,0.0000046526825,0.000019273399,3.5414067e-7,0.00019954855,0.86412793,0.006250519,0.051770493,0.00020826433,0.0739231],"study_design_scores_gemma":[0.0011116511,0.000026527132,0.0074076583,0.000021213615,0.000017125523,0.000004589187,0.00008789846,0.8971373,0.001385889,0.06627867,0.026251568,0.0002699312],"about_ca_topic_score_codex":0.000036691912,"about_ca_topic_score_gemma":0.00006684055,"teacher_disagreement_score":0.6680986,"about_ca_system_score_codex":0.00007686151,"about_ca_system_score_gemma":0.00020434096,"threshold_uncertainty_score":0.8634336},"labels":[],"label_agreement":null},{"id":"W2135442224","doi":"10.1109/distra.2005.18","title":"DEVStone: a benchmarking technique for studying performance of DEVS modeling and simulation environments","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":34,"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; Computer science; Benchmarking; Modular design; Benchmark (surveying); Modeling and simulation; Metric (unit); Discrete event simulation; Process (computing); Variety (cybernetics); Distributed computing; Simulation; Programming language; Artificial intelligence; Engineering","score_opus":0.130776045029114,"score_gpt":0.4079224607262839,"score_spread":0.2771464156971699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135442224","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":[0.4266309,0.0000145830645,0.5725822,0.00003363263,0.000004819307,0.00042170772,0.0000015933671,0.00001599795,0.00029455448],"genre_scores_gemma":[0.85583675,0.000010775098,0.14381182,0.000045830082,0.000027929622,0.00011077092,0.0000021156898,0.000006078983,0.0001479344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879193,0.000016005255,0.0004966761,0.00024310611,0.00034407177,0.00010821253],"domain_scores_gemma":[0.9990802,0.0004241376,0.00014441767,0.00023829582,0.00007828981,0.000034676952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001072822,0.00007730539,0.00013244282,0.0001474321,0.00015873299,0.000035144305,0.00016319336,0.000051878967,0.00005922757],"category_scores_gemma":[0.000095955824,0.00006297264,0.000037356658,0.00019129721,0.000026241607,0.0003021329,0.000067858935,0.000040473966,0.0000035097944],"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":[0.000014072389,0.000030378114,0.0061805137,0.000003889636,0.000003156935,9.93008e-9,0.00015485352,0.8404388,0.006091528,0.00067936024,0.00001685441,0.14638658],"study_design_scores_gemma":[0.00014880051,0.000042175245,0.0011952148,0.0000090727135,0.000004917385,4.863205e-7,0.00007749486,0.9824535,0.012441285,0.0017400259,0.0018118907,0.00007508574],"about_ca_topic_score_codex":0.000004067128,"about_ca_topic_score_gemma":0.0000028418126,"teacher_disagreement_score":0.42920583,"about_ca_system_score_codex":0.000025025944,"about_ca_system_score_gemma":0.000010618842,"threshold_uncertainty_score":0.25679496},"labels":[],"label_agreement":null},{"id":"W2135674904","doi":"10.1109/icpp.2010.62","title":"A Machine Learning Approach for Optimizing Parallel Logic Simulation","year":2010,"lang":"en","type":"article","venue":"","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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence; Parallel computing","score_opus":0.17826648206402984,"score_gpt":0.43624596954053607,"score_spread":0.25797948747650623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135674904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00293458,0.000008548075,0.97001934,0.00037136627,0.00003617906,0.00045717848,0.0000036223225,0.00021489356,0.025954274],"genre_scores_gemma":[0.5799607,7.7900455e-7,0.41649267,0.0001279835,0.000043569664,0.00006652635,0.000018005132,0.0000062137306,0.0032835663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877346,0.00003120334,0.00036198593,0.00034137236,0.00034464683,0.0001473644],"domain_scores_gemma":[0.99813503,0.0010690909,0.00013981879,0.00034124305,0.00025278778,0.000062001694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012783174,0.00008824367,0.00013433203,0.00012832634,0.00028442437,0.0001813339,0.00032882276,0.00008744697,0.00052939047],"category_scores_gemma":[0.0011165283,0.000061722996,0.00009743844,0.00034195272,0.00003317884,0.00017369569,0.000054249806,0.00017382267,0.000043203378],"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":[0.000010654632,0.00003931035,0.0011096661,0.0000010646819,0.0000022958018,3.8472116e-8,0.000055888617,0.88395345,0.0010300899,0.08741223,0.00032721774,0.026058119],"study_design_scores_gemma":[0.00018625567,0.00002160877,0.00020458379,3.5902156e-7,0.000003004936,7.6078555e-7,0.00005494753,0.90340465,0.00015175385,0.04947849,0.046409845,0.0000837265],"about_ca_topic_score_codex":0.0000120748255,"about_ca_topic_score_gemma":0.000004255139,"teacher_disagreement_score":0.5770261,"about_ca_system_score_codex":0.0000066020007,"about_ca_system_score_gemma":0.000013081292,"threshold_uncertainty_score":0.57964545},"labels":[],"label_agreement":null},{"id":"W2137983158","doi":"10.1109/anss.2005.26","title":"Improving Scalability of Network Emulation through Parallelism and Abstraction","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Western Canada Research Grid","keywords":"Emulation; Computer science; Scalability; Abstraction; Network simulation; Network packet; Network processor; Distributed computing; Computer network; Network interface; Operating system","score_opus":0.10347255966030383,"score_gpt":0.42036690913101443,"score_spread":0.3168943494707106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137983158","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":[0.57490927,0.000046927427,0.4169554,0.0012347023,0.00003442152,0.0002204922,0.0000014320295,0.000112236216,0.0064851036],"genre_scores_gemma":[0.93752223,0.000006767873,0.061923273,0.00010551163,0.00009639907,0.000007375035,0.0000010170596,0.0000037342024,0.00033369588],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989101,0.000030410576,0.00045561657,0.00021627014,0.0003038317,0.00008375292],"domain_scores_gemma":[0.99888855,0.00043628688,0.00018872568,0.0002879771,0.00017065783,0.000027788228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008420516,0.00005254228,0.00010648989,0.0000298737,0.00009354059,0.000048888447,0.000101945894,0.000054481592,0.00033413575],"category_scores_gemma":[0.00021811333,0.000039474093,0.00003621227,0.00025289034,0.000049028473,0.00041375452,0.00003764636,0.00004770695,0.000028414048],"study_design_candidate":"design_other","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":[0.000018468938,0.00007731859,0.053175155,0.0000042092406,0.0000044099197,4.19313e-8,0.00025746535,0.04237991,0.0022608906,0.07237352,0.003183555,0.82626504],"study_design_scores_gemma":[0.00023998824,0.000031405507,0.45439845,0.0000048017932,0.000008009524,0.0000019142963,0.00014919064,0.24857648,0.0035793975,0.26113257,0.03174161,0.00013616799],"about_ca_topic_score_codex":0.00014764449,"about_ca_topic_score_gemma":0.00006372515,"teacher_disagreement_score":0.8261289,"about_ca_system_score_codex":0.000013918153,"about_ca_system_score_gemma":0.000010673454,"threshold_uncertainty_score":0.36585522},"labels":[],"label_agreement":null},{"id":"W2138029769","doi":"10.82308/44780","title":"The dependence list in time warp /","year":2000,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Causality (physics); Process (computing); Workstation; Speedup; Function (biology); Reduction (mathematics); Parallel computing; Real-time computing; Event (particle physics); Warp drive; Distributed computing; Programming language; Operating system","score_opus":0.04714290546742361,"score_gpt":0.32815224178846697,"score_spread":0.28100933632104336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138029769","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":[0.8497461,0.00007334035,0.0000026618445,0.0003889404,0.000079240766,0.0004595988,0.00013459237,0.00022247221,0.14889303],"genre_scores_gemma":[0.96767205,0.00009281393,0.00070979574,0.0005899312,0.000021709666,0.00010690181,0.0000071750505,0.000030235607,0.030769374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99577695,0.000390548,0.0009873827,0.00078412384,0.0015562052,0.0005048089],"domain_scores_gemma":[0.99592304,0.0020578776,0.00020188742,0.0013607417,0.00024970097,0.00020675862],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004177483,0.00024664504,0.00028245704,0.0001946687,0.001487569,0.00038879146,0.0021322616,0.00018780741,0.0040366515],"category_scores_gemma":[0.0016968537,0.0001748058,0.00017213388,0.001637471,0.00015465211,0.00074898225,0.00022347106,0.0005527202,0.006274366],"study_design_candidate":"design_other","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":[0.000042912845,0.00010892566,0.0006013109,0.0000012336689,0.000007428103,0.000011326681,0.0000035725438,0.00030007408,0.0036555564,0.0914972,0.00013166727,0.9036388],"study_design_scores_gemma":[0.0002912043,0.0000355428,0.004613889,0.000018035089,0.0000059197832,0.000015729427,0.000028527505,0.0011350649,0.007959567,0.27687418,0.7087459,0.0002764552],"about_ca_topic_score_codex":0.0002139795,"about_ca_topic_score_gemma":0.00036377038,"teacher_disagreement_score":0.90336233,"about_ca_system_score_codex":0.00018729964,"about_ca_system_score_gemma":0.000021171307,"threshold_uncertainty_score":0.99981236},"labels":[],"label_agreement":null},{"id":"W2138152834","doi":"10.1177/0037549705052230","title":"Specification of Discrete Event Models for Fire Spreading","year":2005,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":38,"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; Computer science; Discrete event simulation; Event (particle physics); Domain (mathematical analysis); Software; Distributed computing; Modeling and simulation; Simulation; Programming language; Mathematics","score_opus":0.21646945637026888,"score_gpt":0.4771610066473247,"score_spread":0.2606915502770558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138152834","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":[0.075912245,0.000029946714,0.9207387,0.0006425667,0.000036961268,0.0005225352,0.00002295343,0.00005249516,0.0020416044],"genre_scores_gemma":[0.9695294,0.0000029371672,0.029559424,0.000043262666,0.00014481285,0.000030346795,0.00002844145,0.0000095698515,0.0006518253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984546,0.000024607847,0.00066445605,0.0002567003,0.00048703875,0.000112621914],"domain_scores_gemma":[0.9975401,0.001090666,0.0003236955,0.0005673167,0.00043650827,0.000041696007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011594075,0.0000746963,0.00013288451,0.00014362171,0.00010240221,0.000040889616,0.00030102994,0.000064115855,0.0000983465],"category_scores_gemma":[0.0005298394,0.00006355338,0.00010652834,0.00038558984,0.000026753518,0.00042298684,0.000036067973,0.00003534232,0.00002728207],"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":[0.00001727633,0.00002057215,0.00024203226,0.0000017350561,0.000002034459,6.589738e-9,0.00016470646,0.8311081,0.0006841991,0.030843666,0.00033221985,0.13658343],"study_design_scores_gemma":[0.00015044285,0.000016868169,0.0014558042,0.0000059980225,0.0000051134753,8.500102e-8,0.00005600554,0.8307899,0.0058115716,0.14754935,0.014097785,0.00006103014],"about_ca_topic_score_codex":0.000005265124,"about_ca_topic_score_gemma":0.000004555671,"teacher_disagreement_score":0.89361715,"about_ca_system_score_codex":0.00004612013,"about_ca_system_score_gemma":0.000015633712,"threshold_uncertainty_score":0.25916317},"labels":[],"label_agreement":null},{"id":"W2138301507","doi":"10.1109/pads.2011.5936760","title":"Parallel Discrete Event N-Body Dynamics","year":2011,"lang":"en","type":"article","venue":"","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":"McGill University","funders":"","keywords":"Computer science; Concurrency; Discrete event simulation; Event (particle physics); Scaling; Parallel computing; Concurrent computing; Computation; Theoretical computer science; Algorithm; Computational science; Distributed computing; Mathematics; Simulation","score_opus":0.14550669529278448,"score_gpt":0.4234591096236248,"score_spread":0.27795241433084034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138301507","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":[0.010011143,0.0000047311764,0.7779746,0.00052413525,0.00003888179,0.00013789727,0.000005979021,0.00011749227,0.21118516],"genre_scores_gemma":[0.9517965,0.000003136609,0.029307669,0.00021176705,0.000015901476,0.0000268433,0.000004133488,0.0000049731557,0.018629078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891293,0.000026070553,0.00032862127,0.0002294312,0.00039148115,0.0001114914],"domain_scores_gemma":[0.9990699,0.00013585745,0.00008060182,0.00053165515,0.00011232754,0.00006963523],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004943758,0.00006225808,0.00008959183,0.00007486676,0.000083621075,0.000049094473,0.00044504492,0.000037934413,0.004078375],"category_scores_gemma":[0.000117484975,0.000040384326,0.000073644376,0.00030676293,0.00003933022,0.00012395998,0.00008123043,0.000045534292,0.0008878786],"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":[0.0000064721403,0.000048868405,0.012101189,2.8923242e-7,0.0000036949702,6.659843e-7,0.00014528587,0.00006485105,0.000023960938,0.95305747,0.008610007,0.02593725],"study_design_scores_gemma":[0.00014267174,0.000043979937,0.0636803,0.000001985167,0.0000050437234,0.0000024889819,0.00040831827,0.16127464,0.00054238347,0.73564893,0.0380829,0.00016636799],"about_ca_topic_score_codex":0.000076803175,"about_ca_topic_score_gemma":0.000042292388,"teacher_disagreement_score":0.94178534,"about_ca_system_score_codex":0.000017739694,"about_ca_system_score_gemma":0.000013169482,"threshold_uncertainty_score":0.99989},"labels":[],"label_agreement":null},{"id":"W2138518227","doi":"10.1109/ipdps.2008.4536502","title":"Web-based e-learning in 3D large scale distributed interactive simulations using HLA/RTI","year":2008,"lang":"en","type":"article","venue":"Proceedings - IEEE International Parallel and Distributed Processing Symposium","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":17,"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 Ottawa","funders":"","keywords":"VRML; Computer science; X3D; Web application; High-level architecture; Virtual reality; Overhead (engineering); Architecture; Distributed Interactive Simulation; Class (philosophy); Human–computer interaction; Computer architecture; Distributed computing; Artificial intelligence; Operating system; Interoperability","score_opus":0.05939915003485275,"score_gpt":0.36918457859259896,"score_spread":0.3097854285577462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138518227","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":[0.7263514,0.00005220896,0.26916906,0.0019275808,0.00015079338,0.00037850166,0.00052006514,0.00027663194,0.0011737992],"genre_scores_gemma":[0.9919447,0.000018735485,0.0069072447,0.00021230926,0.00014908516,0.00007781199,0.0004174281,0.000029309942,0.00024342796],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99648255,0.000042235526,0.0010714404,0.00086012256,0.0010775384,0.00046612284],"domain_scores_gemma":[0.9970873,0.0003954277,0.00066151633,0.00016063864,0.0015023376,0.00019277126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006981396,0.0003339009,0.00040176034,0.00057054975,0.0007872545,0.00059276377,0.0006114134,0.00019548411,0.0001356939],"category_scores_gemma":[0.0007394551,0.0003089854,0.00011414883,0.0014461991,0.00019641599,0.0013096452,0.00014595273,0.00047281114,0.00002027775],"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":[0.00042549442,0.0009020971,0.66108656,0.000046012647,0.000046515135,0.000016200433,0.0017156679,0.3107643,0.020197984,0.00072691235,0.0023512559,0.0017209841],"study_design_scores_gemma":[0.0015950868,0.000042825373,0.025343386,0.00012240032,0.00002061277,0.0000422633,0.00046237453,0.9569138,0.0010144896,0.0021703443,0.01188468,0.00038768924],"about_ca_topic_score_codex":0.000040700066,"about_ca_topic_score_gemma":0.000014584609,"teacher_disagreement_score":0.6461495,"about_ca_system_score_codex":0.0002507083,"about_ca_system_score_gemma":0.00022263065,"threshold_uncertainty_score":0.9999362},"labels":[],"label_agreement":null},{"id":"W2139604788","doi":"10.1109/pads.2010.5471652","title":"Exploring Multi-Grained Parallelism in Compute-Intensive DEVS Simulations","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Computer science; Parallel computing; Multi-core processor; IBM; Parallelism (grammar); DEVS; Discrete event simulation; Exploit; Data parallelism; Modeling and simulation; Simulation","score_opus":0.5523381638584673,"score_gpt":0.47300354971409264,"score_spread":0.0793346141443747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139604788","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":[0.6975917,0.0000032572277,0.29696774,0.002509292,0.00022343094,0.00037289315,0.000008067727,0.00020970522,0.0021139036],"genre_scores_gemma":[0.9379729,0.000002078591,0.06017149,0.0006209203,0.00005632465,0.000055657612,0.000007202097,0.000008998523,0.0011044248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983902,0.000038353617,0.0005785977,0.00037804773,0.00042071028,0.00019411242],"domain_scores_gemma":[0.9972719,0.0012157569,0.00010420434,0.00060538657,0.0007046812,0.00009806291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057318376,0.00011117676,0.00018388352,0.0003576131,0.00014102343,0.00013962394,0.00045865393,0.00006510168,0.0006532255],"category_scores_gemma":[0.001717704,0.00008665074,0.00007486623,0.00090785144,0.00006114222,0.0004275065,0.00011449234,0.00022748254,0.00028563812],"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":[0.000042449905,0.00065692404,0.124725156,0.0000043698565,0.000026017986,0.000018687879,0.005977112,0.14366171,0.032146078,0.47384152,0.013076201,0.20582378],"study_design_scores_gemma":[0.00066145655,0.000015429288,0.12648301,0.0000052239484,0.000002756745,0.0000031627035,0.0008722781,0.789227,0.0021213864,0.032647327,0.047722004,0.00023895183],"about_ca_topic_score_codex":0.00016135849,"about_ca_topic_score_gemma":0.0008360712,"teacher_disagreement_score":0.6455653,"about_ca_system_score_codex":0.0000145772365,"about_ca_system_score_gemma":0.000030051142,"threshold_uncertainty_score":0.7152361},"labels":[],"label_agreement":null},{"id":"W2140557572","doi":"10.1080/03610910601161256","title":"Simulation-Based Tests that Can Use Any Number of Simulations","year":2007,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University","funders":"","keywords":"Monte Carlo method; Computer science; Value (mathematics); Applied mathematics; Algorithm; Statistical physics; Mathematics; Statistics; Physics","score_opus":0.35264864007195806,"score_gpt":0.546851944368229,"score_spread":0.19420330429627097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140557572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1415426,0.000028712004,0.85662484,0.00026602004,0.00005580485,0.0005916539,0.0004508944,0.00008414762,0.00035534706],"genre_scores_gemma":[0.83950806,0.000006930573,0.15971854,0.00018021722,0.000015850655,0.000015434272,0.0004369826,0.000024396844,0.0000936207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964385,0.00033373438,0.0016152742,0.00046005312,0.00088123715,0.00027122587],"domain_scores_gemma":[0.95801747,0.038280014,0.00078803534,0.0013097645,0.0014651769,0.0001395303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017996565,0.00023432609,0.00036609443,0.000765916,0.00041143617,0.00024459886,0.00060852733,0.00016499353,0.00010619783],"category_scores_gemma":[0.0047770403,0.00024386034,0.00006805312,0.0017941842,0.00034952286,0.0004592416,0.00018407016,0.00024235938,0.000017239474],"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":[0.000020843521,0.00015022457,0.15428743,0.000006291851,0.0000060694697,4.4231382e-7,0.00036324808,0.7967472,0.000034352695,0.020555057,0.000034202872,0.027794655],"study_design_scores_gemma":[0.00051231426,0.00001967596,0.20719032,0.000024259465,0.000015921873,4.408823e-7,0.00014722192,0.74004847,0.000045408648,0.050530434,0.0012864133,0.00017912452],"about_ca_topic_score_codex":0.00018332474,"about_ca_topic_score_gemma":0.0008137226,"teacher_disagreement_score":0.69796544,"about_ca_system_score_codex":0.00012087375,"about_ca_system_score_gemma":0.000119758144,"threshold_uncertainty_score":0.9944336},"labels":[],"label_agreement":null},{"id":"W2140744273","doi":"10.1177/0037549710395649","title":"Studying performance of DEVS modeling and simulation environments using the DEVStone benchmark","year":2011,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":28,"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; Benchmark (surveying); Computer science; Discrete event simulation; Modular design; Suite; Metric (unit); Modeling and simulation; Software; Simulation software; Event (particle physics); Set (abstract data type); Simulation modeling; Process (computing); Software performance testing; Simulation; Software system; Programming language; Engineering","score_opus":0.31948558149051004,"score_gpt":0.4178988296840143,"score_spread":0.09841324819350428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140744273","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":[0.6151228,0.000024813151,0.38433966,0.0000062716704,0.000020685115,0.00021585762,0.0000014526477,0.000010948066,0.00025749314],"genre_scores_gemma":[0.99483716,0.000006277412,0.005043244,0.000027236238,0.00002438006,0.0000068364616,0.0000030752658,0.000009082712,0.00004272722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984443,0.00007170589,0.0005671248,0.000247826,0.00055095495,0.00011806524],"domain_scores_gemma":[0.9986904,0.0004879328,0.00027814833,0.00038450578,0.00012407279,0.000034902438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010449158,0.00009902956,0.00013601693,0.00013438128,0.00030459388,0.000036767633,0.00020429166,0.000058557067,0.00008827009],"category_scores_gemma":[0.00020247564,0.00007046272,0.000038956394,0.0003585685,0.00006772722,0.0004324929,0.00008887928,0.0000697948,0.000006514149],"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":[0.000016876793,0.000019673627,0.025975281,0.0000017159349,0.0000040520263,3.4277374e-8,0.00093226554,0.9614472,0.00062969595,0.00017905768,4.872583e-7,0.010793701],"study_design_scores_gemma":[0.00014050397,0.000027244367,0.024211718,0.000009447807,0.000015288964,3.2706558e-7,0.00027419737,0.97046137,0.00092983205,0.0037583995,0.00009356616,0.00007812942],"about_ca_topic_score_codex":0.000035290792,"about_ca_topic_score_gemma":0.00000206188,"teacher_disagreement_score":0.37971434,"about_ca_system_score_codex":0.000028476874,"about_ca_system_score_gemma":0.000013999071,"threshold_uncertainty_score":0.28733864},"labels":[],"label_agreement":null},{"id":"W2140764824","doi":"10.1109/mascot.2005.37","title":"M/CD++: modeling continuous systems using Modelica and DEVS","year":2005,"lang":"en","type":"article","venue":"Modeling, Analysis, and Simulation On Computer and Telecommunication Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"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; Modelica; Modular design; Computer science; Abstraction; Programming language; Modeling and simulation; Notation; Discrete event simulation; Event (particle physics); Modeling language; Simulation; Mathematics; Software","score_opus":0.1371022122282929,"score_gpt":0.3929444613463211,"score_spread":0.2558422491180282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140764824","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":[0.36273614,0.0013821471,0.6351077,0.00013098869,0.000038539776,0.00033948544,0.000009828703,0.00009542297,0.00015972833],"genre_scores_gemma":[0.98813206,0.00036876503,0.0109294765,0.00016077324,0.00019595989,0.000033415723,0.000043860222,0.000023158185,0.00011252123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963405,0.0004124982,0.0015150189,0.000774445,0.00069764885,0.00025990306],"domain_scores_gemma":[0.9966678,0.0007166277,0.00045420974,0.0011697668,0.0007834986,0.00020809058],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0019903034,0.00030185498,0.00073930307,0.0009399587,0.0007836138,0.0011398838,0.00042536695,0.00019285196,0.00000782925],"category_scores_gemma":[0.00006726374,0.00026098668,0.00013724413,0.0008987827,0.000065201704,0.00049596786,0.0002123737,0.00021262882,0.000007656795],"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":[0.00001227727,0.000041091655,0.0015414841,0.000007630643,0.00009936671,1.1324543e-7,0.0004731554,0.9804651,0.000015968304,0.0030113927,0.000014586015,0.014317808],"study_design_scores_gemma":[0.00038615073,0.000033605727,0.0001683228,0.000032278367,0.00016025714,0.0000063625585,0.00029259175,0.9961169,0.0000021806507,0.0007777988,0.0017340985,0.00028949764],"about_ca_topic_score_codex":0.0006316685,"about_ca_topic_score_gemma":0.000049587597,"teacher_disagreement_score":0.6253959,"about_ca_system_score_codex":0.00006031118,"about_ca_system_score_gemma":0.000028262451,"threshold_uncertainty_score":0.99998426},"labels":[],"label_agreement":null},{"id":"W2141398579","doi":"10.1061/(asce)cp.1943-5487.0000349","title":"Numerical DAE Approach for Solving a System Dynamics Problem","year":2013,"lang":"en","type":"article","venue":"Journal of Computing in Civil Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Runge–Kutta methods; Spurious relationship; Stability (learning theory); Mathematics; Applied mathematics; Numerical analysis; Numerical stability; Differential equation; Algebraic equation; Differential algebraic equation; Software; Euler method; Euler's formula; Ordinary differential equation; Computer science; Mathematical analysis; Physics","score_opus":0.0348241145243212,"score_gpt":0.3153261581773695,"score_spread":0.28050204365304826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141398579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037043195,0.00003548569,0.96130615,0.000097416036,0.00009212753,0.00027112788,6.980483e-7,0.000051589315,0.0011022112],"genre_scores_gemma":[0.77058464,4.7478014e-7,0.22926563,0.000009629978,0.00010298399,0.000009514596,5.279679e-7,0.000011515182,0.000015106719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982133,0.000019315563,0.0009818787,0.00015070476,0.00043814955,0.00019666838],"domain_scores_gemma":[0.998019,0.000944147,0.00041203387,0.0001734202,0.0003756288,0.00007581617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018604437,0.00009858375,0.00029483554,0.00033844268,0.000057231293,0.00018594434,0.0004435268,0.000057299218,0.0000064501774],"category_scores_gemma":[0.00043839234,0.00007869093,0.00012399301,0.00054794986,0.0000082305305,0.00020579454,0.000048811078,0.00020550183,0.0000029656642],"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":[0.0000015961881,0.000025903053,0.001774737,0.000035255904,0.0000062818945,6.1934344e-7,0.00013072422,0.98711675,0.00015192582,0.0050666435,0.00031916978,0.0053703804],"study_design_scores_gemma":[0.00018495419,0.00002836063,0.0030076862,0.00010168264,0.0000032620053,0.000042285337,0.00021562567,0.9952946,0.000042066727,0.0006952902,0.00030039702,0.00008381957],"about_ca_topic_score_codex":0.000009060188,"about_ca_topic_score_gemma":8.596136e-7,"teacher_disagreement_score":0.7335414,"about_ca_system_score_codex":0.0001604077,"about_ca_system_score_gemma":0.000031555333,"threshold_uncertainty_score":0.3208923},"labels":[],"label_agreement":null},{"id":"W2142515800","doi":"10.5555/1161734.1161748","title":"Modeling and simulation of complex systems with Cell-DEVS","year":2004,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":25,"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; Computer science; Asynchronous communication; Formalism (music); Discrete event simulation; Distributed computing; Complex system; Modeling and simulation; Theoretical computer science; Simulation; Artificial intelligence","score_opus":0.20604764164157943,"score_gpt":0.4052806801598335,"score_spread":0.19923303851825405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142515800","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":[0.29751953,0.000014853986,0.700519,0.0001118192,0.00002478991,0.0002837636,0.000010617449,0.000055089055,0.0014605399],"genre_scores_gemma":[0.99568105,0.0000018691798,0.0040201293,0.00004925699,0.000028828244,0.000013272173,0.000012043066,0.00001136328,0.0001822013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998123,0.000053600077,0.0006760521,0.00038127796,0.0006323946,0.00013367023],"domain_scores_gemma":[0.99774045,0.00045918007,0.00026178797,0.00043852098,0.0010229446,0.000077095014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041899938,0.00014166391,0.00025140602,0.00020145395,0.00011581515,0.00019857248,0.00025588943,0.00007147469,0.00009638635],"category_scores_gemma":[0.00013322449,0.00010766081,0.00004063865,0.00037714446,0.00008338285,0.00037493292,0.000060784725,0.00007979667,0.000021944],"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":[0.000026137306,0.000027767082,0.00088547205,0.0000073454594,0.0000038554963,2.3027256e-7,0.0004577017,0.99236417,0.00044507932,0.0039551347,0.000004313008,0.0018227778],"study_design_scores_gemma":[0.0005506733,0.0000696358,0.001079553,0.00004457314,0.000009280491,0.000001080129,0.00038091044,0.989356,0.00024726664,0.007697824,0.00043202064,0.00013117697],"about_ca_topic_score_codex":0.00007717352,"about_ca_topic_score_gemma":0.000014236981,"teacher_disagreement_score":0.6981615,"about_ca_system_score_codex":0.000029039578,"about_ca_system_score_gemma":0.00005769169,"threshold_uncertainty_score":0.43902805},"labels":[],"label_agreement":null},{"id":"W2142965019","doi":"10.1023/a:1019164730055","title":"On the parallel simulation of fixed channel allocation algorithms","year":2000,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Uniprocessor system; Channel (broadcasting); Null (SQL); Channel allocation schemes; Algorithm; Distributed computing; Computer network; Multiprocessing; Parallel computing; Telecommunications","score_opus":0.05209805245106951,"score_gpt":0.3574481934487839,"score_spread":0.3053501409977144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142965019","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":[0.02306068,0.00018787177,0.9686202,0.0009870208,0.000020464577,0.0017843393,0.000023363767,0.00008926975,0.005226825],"genre_scores_gemma":[0.9958331,0.00014168247,0.00029343658,0.000367227,0.00012821473,0.0018101358,0.000028338962,0.000011283257,0.0013865666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985356,0.00007016029,0.000512432,0.0003571691,0.00037891118,0.00014575533],"domain_scores_gemma":[0.9971129,0.0017362784,0.00018808624,0.0007066688,0.00019271184,0.00006340271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006990757,0.000119128075,0.0001614168,0.000070017,0.0003727344,0.00008733384,0.00036205052,0.00008580692,0.0007206043],"category_scores_gemma":[0.00004568227,0.0000783588,0.00007212224,0.0007667522,0.00012933799,0.000089374575,0.000032258773,0.0001131236,0.000073688025],"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":[0.0000065605273,0.000058034173,0.000029988558,6.125126e-7,0.0000038236835,1.7319126e-8,0.000026740194,0.8141449,0.0000093421495,0.02602749,0.0012839932,0.1584085],"study_design_scores_gemma":[0.00011947734,0.00004355645,0.0011730326,0.000006020447,0.000008538371,5.166289e-7,0.00007849768,0.85985386,0.00004309134,0.0519925,0.08658944,0.000091440146],"about_ca_topic_score_codex":0.000013237177,"about_ca_topic_score_gemma":0.0000032685957,"teacher_disagreement_score":0.9727724,"about_ca_system_score_codex":0.000011808229,"about_ca_system_score_gemma":0.000012312653,"threshold_uncertainty_score":0.78901124},"labels":[],"label_agreement":null},{"id":"W2143523209","doi":"10.1109/wsc.2002.1172936","title":"Meta-Models are models too","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Department of Defense","keywords":"Computer science","score_opus":0.6571471200732,"score_gpt":0.4653258833732621,"score_spread":0.1918212366999379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143523209","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":[0.0018694598,0.00007161138,0.6844441,0.00088854786,0.000022547962,0.00014194209,0.000005705219,0.00011852291,0.31243753],"genre_scores_gemma":[0.9214709,0.000008761846,0.04014887,0.001299418,0.00000969319,0.00006674851,7.968996e-7,0.000006865608,0.036987953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983989,0.00007379511,0.00039298445,0.00033167336,0.0006487961,0.00015386894],"domain_scores_gemma":[0.99841267,0.00040091763,0.00011418903,0.000699054,0.00028287512,0.00009026746],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013013352,0.00009106874,0.00022174373,0.0001092431,0.00011906269,0.00014642849,0.00037328425,0.000053149433,0.0034709328],"category_scores_gemma":[0.00018862361,0.00005617439,0.00018362506,0.00055055605,0.000028989227,0.00045700188,0.000035928908,0.000054331493,0.00032098233],"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":[6.698753e-7,0.000028287417,0.000056843506,1.9884021e-7,0.000026831505,2.5836877e-7,0.00003484823,0.029998062,0.000026501833,0.91613847,0.05228009,0.0014089429],"study_design_scores_gemma":[0.000047030735,0.000004525224,0.00002605308,3.066212e-7,0.000033984834,0.000001235917,0.000115879004,0.10931469,0.001111891,0.82274437,0.066525795,0.000074271295],"about_ca_topic_score_codex":0.000016265632,"about_ca_topic_score_gemma":0.000008068261,"teacher_disagreement_score":0.91960144,"about_ca_system_score_codex":0.000011908185,"about_ca_system_score_gemma":0.000025572082,"threshold_uncertainty_score":0.99744004},"labels":[],"label_agreement":null},{"id":"W2144520669","doi":"10.1109/anss.2006.32","title":"New Parallel Simulation Techniques of DEVS and Cell-DEVS in CD++","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"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; Computer science; Formalism (music); Discrete event simulation; Parallel computing; Distributed computing; Overhead (engineering); Execution time; Modeling and simulation; Simulation; Programming language","score_opus":0.06262250288554295,"score_gpt":0.3979858291403718,"score_spread":0.33536332625482884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144520669","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":[0.16579697,0.00006815008,0.7774168,0.00047295992,0.0000117587915,0.00042613907,0.0000035726393,0.00014518287,0.055658445],"genre_scores_gemma":[0.89883065,0.000005902878,0.096742764,0.000058126523,0.000022810742,0.000010174476,0.0000029403398,0.000004778732,0.0043218294],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872833,0.00002827777,0.00056241563,0.00022927827,0.0003544061,0.000097310825],"domain_scores_gemma":[0.99887717,0.0005309411,0.0001500027,0.00027998205,0.00012448759,0.00003741099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049279485,0.00007642913,0.00015083536,0.0002385049,0.00003589628,0.000053691394,0.00018715876,0.000075120704,0.0002743616],"category_scores_gemma":[0.00008987505,0.00005893132,0.00003484847,0.00056596537,0.00003230812,0.00018309272,0.000050301394,0.00004695502,0.000015987216],"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":[0.0000573098,0.00028033808,0.29467544,0.000012532403,0.000003622434,0.0000016085651,0.0003494189,0.05758436,0.014607709,0.17218217,0.04065535,0.41959015],"study_design_scores_gemma":[0.0006286065,0.0000803895,0.22354963,0.000016730583,0.0000067220703,0.0000012694873,0.00019306221,0.08294771,0.069840275,0.5452729,0.07715527,0.0003074627],"about_ca_topic_score_codex":0.00087338936,"about_ca_topic_score_gemma":0.00018647697,"teacher_disagreement_score":0.7330337,"about_ca_system_score_codex":0.000013132283,"about_ca_system_score_gemma":0.00002987775,"threshold_uncertainty_score":0.30040672},"labels":[],"label_agreement":null},{"id":"W2144897080","doi":"10.1109/mascot.2001.948862","title":"ANML: A language for describing networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Computer science; Component (thermodynamics); Reuse; Modeling language; Programming language; Software engineering; Engineering; Software","score_opus":0.382760245739722,"score_gpt":0.437518572646556,"score_spread":0.05475832690683402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144897080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010418401,0.00008809425,0.95398086,0.0008843444,0.000034800607,0.00023068456,0.0000031502977,0.00015077331,0.0342089],"genre_scores_gemma":[0.9631072,0.0000032614184,0.021557344,0.0006240955,0.00007355665,0.00005020791,0.0000015761862,0.0000050608164,0.0145776905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993182,0.000012314734,0.00020205944,0.00017236445,0.00018688277,0.00010821969],"domain_scores_gemma":[0.9989807,0.0005540991,0.00004489421,0.00029281212,0.00008724065,0.000040229337],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042592178,0.000041930787,0.000068304405,0.00005746573,0.000103431776,0.00011198228,0.00022399022,0.000032929234,0.002267011],"category_scores_gemma":[0.00027967925,0.000029560388,0.00005913212,0.0003098837,0.000015121329,0.00009090368,0.000026234658,0.000028659042,0.00013484247],"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":[0.0000026183786,0.000042294057,0.0011349553,4.771529e-7,0.000003104272,4.2757665e-7,0.0003821423,0.0019476208,0.0003315275,0.055422556,0.29229146,0.64844084],"study_design_scores_gemma":[0.00013727062,0.000018004373,0.00028130904,0.0000020720606,0.000002409325,0.0000012781389,0.00035729085,0.862398,0.000665868,0.009842689,0.12621395,0.00007981573],"about_ca_topic_score_codex":0.000008230258,"about_ca_topic_score_gemma":0.000007199637,"teacher_disagreement_score":0.9526888,"about_ca_system_score_codex":0.000006897696,"about_ca_system_score_gemma":0.0000016893276,"threshold_uncertainty_score":0.99864507},"labels":[],"label_agreement":null},{"id":"W2145890909","doi":"10.5555/1161734.1161993","title":"Evaluating the performance of supply chain simulations with tradeoffs between mulitple objectives","year":2004,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Supply chain; Computer science; Range (aeronautics); Risk analysis (engineering); Supply chain management; Operations research; Industrial engineering; Engineering; Business","score_opus":0.22222298300307478,"score_gpt":0.4559624300441951,"score_spread":0.23373944704112035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145890909","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":[0.7628057,0.000008860253,0.23501481,0.00095775916,0.000030046856,0.0005256367,0.000042124044,0.00006680384,0.0005482462],"genre_scores_gemma":[0.99465585,0.0000012256996,0.004800823,0.00009119517,0.00007885457,0.000034462824,0.000021598258,0.000015486172,0.0003005131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99728584,0.00015873734,0.00081794226,0.0004539118,0.0010690496,0.00021451547],"domain_scores_gemma":[0.9954866,0.0022180497,0.00046692655,0.0007844987,0.00097437203,0.000069551046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011051471,0.00018519095,0.00028291266,0.00020555392,0.0003447335,0.00016215327,0.00067888276,0.00007561379,0.00035648848],"category_scores_gemma":[0.0005632996,0.000114984854,0.000089659574,0.0009368329,0.00024177194,0.0004917664,0.00008359167,0.00018341778,0.000038378006],"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":[0.000039778486,0.0000388651,0.056059424,0.0000038925796,0.000015906477,9.615368e-8,0.0020252315,0.918335,0.00086600817,0.0037532272,0.00000598194,0.01885656],"study_design_scores_gemma":[0.00077179796,0.00045065672,0.20653285,0.000073939045,0.00002877837,0.0000012251834,0.00043523425,0.77058023,0.0063282074,0.01414768,0.00045136915,0.00019805199],"about_ca_topic_score_codex":0.000039259787,"about_ca_topic_score_gemma":0.000032678272,"teacher_disagreement_score":0.23185012,"about_ca_system_score_codex":0.000051770134,"about_ca_system_score_gemma":0.00017817674,"threshold_uncertainty_score":0.46889463},"labels":[],"label_agreement":null},{"id":"W2146256482","doi":"","title":"Defining a Traffic Modeling language Using Cellular Discrete-Event abstractions","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Cellular automaton; Focus (optics); Discrete event simulation; Event (particle physics); Formal language; Translation (biology); Automaton; Specification language; Programming language; Distributed computing; Theoretical computer science; Simulation; Artificial intelligence; Modeling and simulation","score_opus":0.11617699625106827,"score_gpt":0.4555091369563982,"score_spread":0.33933214070532997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146256482","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":[0.45796296,0.000043949294,0.53655946,0.000079452206,0.000033762935,0.00008014289,0.0000028591526,0.00010554065,0.0051318808],"genre_scores_gemma":[0.9599528,0.0000011440253,0.03909119,0.00008561693,0.00005229006,0.0000045075503,0.0000056183835,0.0000108353515,0.00079601776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833304,0.000020958269,0.0005696387,0.00029994847,0.00055886013,0.00021754544],"domain_scores_gemma":[0.9988614,0.00039923587,0.000113522234,0.00040868556,0.00011722107,0.00009995253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703524,0.00009293525,0.00012223556,0.00022898338,0.00027473317,0.00014036158,0.00025835802,0.000064153886,0.0007236944],"category_scores_gemma":[0.00017064442,0.00007263908,0.00011324557,0.00049946795,0.000023816709,0.00019968297,0.00004674022,0.000116127,0.0002286735],"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":[0.0000063161824,0.0000615099,0.000244119,0.0000011430132,0.0000061898513,0.000005662275,0.000716269,0.9213431,0.010975178,0.020270467,0.00021274704,0.046157315],"study_design_scores_gemma":[0.00008315191,0.000007519782,0.00013194527,0.0000048951692,0.000007644919,0.0000052585046,0.0037193417,0.9867981,0.0046092593,0.0031037282,0.0014093521,0.0001198251],"about_ca_topic_score_codex":0.00010814983,"about_ca_topic_score_gemma":0.00006540225,"teacher_disagreement_score":0.5019898,"about_ca_system_score_codex":0.00004340698,"about_ca_system_score_gemma":0.00002985559,"threshold_uncertainty_score":0.7923946},"labels":[],"label_agreement":null},{"id":"W2146909240","doi":"10.1002/spe.482","title":"CD++: a toolkit to develop DEVS models","year":2002,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":256,"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; Variety (cybernetics); Software engineering; Software; Formal methods; Modeling and simulation; Programming language; Simulation; Artificial intelligence","score_opus":0.20332006786259638,"score_gpt":0.4336497242096695,"score_spread":0.23032965634707314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146909240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10634377,0.00039805038,0.87115145,0.007838501,0.00010231603,0.00041212345,0.000008379206,0.00030107758,0.013444341],"genre_scores_gemma":[0.8342833,0.0000974804,0.15853214,0.004361526,0.00003574693,0.00015783761,8.0382574e-7,0.00000885694,0.0025223324],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818844,0.00005968179,0.000375117,0.00048292015,0.0006520406,0.00024180634],"domain_scores_gemma":[0.99683005,0.0016747436,0.00012851367,0.0005136544,0.00067378243,0.00017923542],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006959238,0.00011344347,0.00013720423,0.00011384758,0.00031458418,0.00034734295,0.0004420859,0.00005914068,0.00044928634],"category_scores_gemma":[0.011256301,0.0000925228,0.00002408418,0.0013416858,0.000065563196,0.0016982908,0.00019923251,0.00010667257,0.00058478187],"study_design_candidate":"not_applicable","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":[0.000041589017,0.00016804141,0.002354268,0.0000030957867,0.000009223596,0.000012233737,0.04845598,0.00069371454,0.00022892865,0.03465862,0.036326148,0.87704813],"study_design_scores_gemma":[0.00014897212,0.00007071902,0.0007754376,0.000011457721,0.0000075243693,0.000058615904,0.010890268,0.0062576397,0.0004974542,0.036018927,0.94493496,0.00032803364],"about_ca_topic_score_codex":0.000054087315,"about_ca_topic_score_gemma":0.000007866632,"teacher_disagreement_score":0.9086088,"about_ca_system_score_codex":0.000023756342,"about_ca_system_score_gemma":0.000031773085,"threshold_uncertainty_score":0.9970723},"labels":[],"label_agreement":null},{"id":"W2147261974","doi":"10.1109/ccece.1998.685543","title":"Springfield: a real-time parallel simulation of mobile telecommunications","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Java; Computer science; Object-oriented modeling; Mobile telephony; Ideal (ethics); Object-oriented programming; Real-time computing; Simulation; Mobile radio; Distributed computing; Telecommunications; Operating system","score_opus":0.1390952074341976,"score_gpt":0.42255253145116145,"score_spread":0.2834573240169639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147261974","genre_codex":"other","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":[0.13964827,0.00009106725,0.39217857,0.0013926777,0.000032711418,0.0009468562,0.000014855684,0.0004194587,0.46527556],"genre_scores_gemma":[0.9549083,0.000045636716,0.03165748,0.00006373067,0.000014734714,0.00006236529,0.0000032012044,0.0000064722435,0.013238081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857473,0.00006372895,0.0006266786,0.00020997049,0.0004191147,0.00010579171],"domain_scores_gemma":[0.99681973,0.001511124,0.00021362877,0.0011042637,0.0002994984,0.000051765826],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005348183,0.000072388706,0.00016514916,0.00017051295,0.000118404554,0.000047582966,0.0005853055,0.00006424854,0.0110376375],"category_scores_gemma":[0.000338378,0.000057628335,0.00009201037,0.00069350505,0.000055651177,0.00016523105,0.00009598831,0.000060468767,0.0009092599],"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":[0.000010380826,0.00067376014,0.0052136774,0.000003878653,0.000023314273,3.36963e-7,0.0011149424,0.6985935,0.008827414,0.052734677,0.03263264,0.20017147],"study_design_scores_gemma":[0.0001542935,0.000045856897,0.002565924,0.000003722598,0.000005733355,5.7007895e-7,0.00012012198,0.91353464,0.0010692016,0.016111908,0.06627955,0.000108483495],"about_ca_topic_score_codex":0.000051625342,"about_ca_topic_score_gemma":0.000004692451,"teacher_disagreement_score":0.81526,"about_ca_system_score_codex":0.000012508378,"about_ca_system_score_gemma":0.000007922467,"threshold_uncertainty_score":0.99986863},"labels":[],"label_agreement":null},{"id":"W2147419311","doi":"10.5555/1030453.1030488","title":"SSJ: SSJ: a framework for stochastic simulation in Java","year":2002,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":99,"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; Java; Flexibility (engineering); Set (abstract data type); Programming language; Process (computing); Key (lock); Extensibility; Event (particle physics); Software; Software engineering; Operating system","score_opus":0.33360607805717846,"score_gpt":0.47377952803552187,"score_spread":0.1401734499783434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147419311","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":[0.025031336,0.000027753653,0.97092104,0.0011425145,0.00019003011,0.0009836738,0.000030952866,0.00015526758,0.0015174315],"genre_scores_gemma":[0.98506737,0.0000014957727,0.012772371,0.0004203213,0.00014402768,0.00014883927,0.000015057823,0.000022942164,0.0014075573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971257,0.00010943012,0.0010317041,0.0006971628,0.00071341236,0.00032260362],"domain_scores_gemma":[0.992249,0.005716414,0.00034895213,0.0007797799,0.00079126615,0.00011456063],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079737324,0.00022332983,0.00032869034,0.00046525832,0.00016838861,0.00034161712,0.0005943728,0.00020824918,0.0028755586],"category_scores_gemma":[0.003813398,0.00020312861,0.00014775377,0.00090421,0.00007745545,0.00051286723,0.00008352506,0.0002104475,0.0004339537],"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":[0.000030362982,0.000084871535,0.0012251845,0.0000034024026,0.000004715919,3.6146474e-7,0.0009109962,0.9108817,0.00003425099,0.030427985,0.00030949432,0.056086693],"study_design_scores_gemma":[0.0003871079,0.000049220176,0.0028697103,0.00004469188,0.000006150871,3.687422e-7,0.0001149214,0.80621153,0.000034760014,0.1841168,0.005973502,0.00019125475],"about_ca_topic_score_codex":0.000008875272,"about_ca_topic_score_gemma":0.000019780005,"teacher_disagreement_score":0.96003604,"about_ca_system_score_codex":0.000077702076,"about_ca_system_score_gemma":0.000027367423,"threshold_uncertainty_score":0.99803597},"labels":[],"label_agreement":null},{"id":"W2147590195","doi":"10.1109/waina.2009.183","title":"The Rational for Developing Larger-scale 1000+ Machine Emulation-Based Research Test Beds","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Victoria","funders":"","keywords":"Emulation; PlanetLab; Cloud computing; Computer science; Context (archaeology); Scale (ratio); Test (biology); Agency (philosophy); Work (physics); Software engineering; Data science; Engineering; World Wide Web; Operating system; The Internet","score_opus":0.3517412675075569,"score_gpt":0.535028941268187,"score_spread":0.1832876737606301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147590195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054417173,0.000034294324,0.9165812,0.06399328,0.00006184095,0.0008716814,0.00003389845,0.00013084438,0.012851211],"genre_scores_gemma":[0.94234514,0.0000029668327,0.045061033,0.0011787253,0.00010818156,0.00013532756,0.000038069495,0.000006644795,0.011123913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977115,0.00008279969,0.00051082537,0.00031973197,0.0011230995,0.0002520768],"domain_scores_gemma":[0.9865744,0.011443245,0.000091444555,0.00048559404,0.0013476566,0.000057668458],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004710733,0.0000821651,0.00010415213,0.00018467156,0.001447572,0.00043228263,0.00057573745,0.000052350835,0.00031398595],"category_scores_gemma":[0.002283855,0.000048963084,0.00007805464,0.0010743544,0.00007877251,0.00014026916,0.000032278644,0.000109999266,0.00012304072],"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":[0.0000596562,0.00022938308,0.024121989,0.0000020797327,0.0000061168253,2.800789e-7,0.00010868458,0.0035610376,0.0027065843,0.45665896,0.24468054,0.2678647],"study_design_scores_gemma":[0.00029013003,0.00007553187,0.06311828,0.000004986498,0.0000018951574,5.079766e-7,0.000056738903,0.28987354,0.0075249877,0.2827689,0.35616085,0.00012365667],"about_ca_topic_score_codex":0.0000108092745,"about_ca_topic_score_gemma":0.000067450295,"teacher_disagreement_score":0.9369034,"about_ca_system_score_codex":0.000055107397,"about_ca_system_score_gemma":0.00020907348,"threshold_uncertainty_score":0.9998524},"labels":[],"label_agreement":null},{"id":"W2147913239","doi":"10.5555/2429759.2430072","title":"Panel on grand challenges for modeling and simulation","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":18,"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":"Grand Challenges; Variety (cybernetics); Computer science; Critical mass (sociodynamics); Key (lock); Panel discussion; Data science; Sociology; Business; Social science","score_opus":0.5146092203563372,"score_gpt":0.46794813180912076,"score_spread":0.0466610885472164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147913239","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":[0.119595565,0.00012056848,0.8763798,0.00088671315,0.0001288302,0.000512359,0.000016124699,0.00010146054,0.0022586174],"genre_scores_gemma":[0.9970108,0.000016470885,0.002136628,0.00021843376,0.00018469352,0.00006029333,0.0000110031015,0.000014411468,0.0003472495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840647,0.00006897541,0.00048322268,0.00038303665,0.0004332536,0.0002250541],"domain_scores_gemma":[0.99671584,0.002097082,0.00015479006,0.00040137212,0.0005096226,0.000121285804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009860649,0.00015218316,0.000197396,0.00019111356,0.00019201926,0.0001672989,0.00020708455,0.000100323865,0.0001250366],"category_scores_gemma":[0.00077574083,0.00012376052,0.00007163517,0.00014595554,0.00003822283,0.0005316127,0.00005129055,0.00007911121,0.000053742206],"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":[0.00005673574,0.000052403717,0.0010185278,0.000005589801,0.0000061440865,3.106351e-8,0.0011904385,0.8487774,0.000054256416,0.023464799,0.00004434252,0.12532932],"study_design_scores_gemma":[0.00032930166,0.000050546725,0.0027610431,0.000017960554,0.0000083687755,3.325039e-7,0.00019323586,0.94722205,0.00008924158,0.037804257,0.011378712,0.00014491942],"about_ca_topic_score_codex":0.0000023272714,"about_ca_topic_score_gemma":0.0000030920867,"teacher_disagreement_score":0.87741524,"about_ca_system_score_codex":0.000020358619,"about_ca_system_score_gemma":0.000013804882,"threshold_uncertainty_score":0.50468075},"labels":[],"label_agreement":null},{"id":"W2148023570","doi":"10.1109/pads.2005.40","title":"XTW, A Parallel and Distributed Logic Simulator","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rollback; Computer science; Queue; Scheduling (production processes); Schedule; Parallel computing; Logic simulation; Distributed computing; Logic gate; Real-time computing; Computer network; Algorithm; Operating system; Engineering; Database transaction","score_opus":0.1334029327114435,"score_gpt":0.4354675055988032,"score_spread":0.3020645728873597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148023570","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":[0.09504425,0.00006533318,0.88425577,0.009420317,0.000014516322,0.00022474075,0.000023425107,0.00021577215,0.01073589],"genre_scores_gemma":[0.9768535,0.0000058092182,0.019071745,0.0009301853,0.000041574138,0.000013417132,0.000005429001,0.0000030621823,0.0030752693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990557,0.00002125495,0.000275343,0.00023904046,0.00030268225,0.000106005195],"domain_scores_gemma":[0.9990105,0.00042762395,0.0000571453,0.00031490813,0.00010757631,0.000082258186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037922192,0.00006271549,0.00010086942,0.000056590765,0.00010078931,0.000121241916,0.00020091666,0.000043638433,0.0013113416],"category_scores_gemma":[0.0002818933,0.000040914536,0.0000350177,0.0003072858,0.0000456874,0.00013867147,0.00006551068,0.0000414725,0.00036800964],"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":[0.000021423037,0.00017969849,0.02429213,0.0000013511292,0.000010351791,0.000001285183,0.00014775088,0.03949919,0.0004648379,0.5775361,0.11163593,0.24620996],"study_design_scores_gemma":[0.00025789815,0.000021459064,0.020623755,0.0000011329878,0.0000032425332,0.000002850169,0.00009286988,0.2406663,0.00020765733,0.15978603,0.5782156,0.00012119309],"about_ca_topic_score_codex":0.000006680083,"about_ca_topic_score_gemma":0.00000900649,"teacher_disagreement_score":0.8818093,"about_ca_system_score_codex":0.000010908795,"about_ca_system_score_gemma":0.000009598969,"threshold_uncertainty_score":0.9996016},"labels":[],"label_agreement":null},{"id":"W2149573515","doi":"10.1002/cpe.872","title":"Performance evaluation of Data Distribution Management strategies","year":2004,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Computer science; Benchmark (surveying); Scalability; High-level architecture; Distribution management system; Distributed computing; Grid; Variety (cybernetics); Scheme (mathematics); Service (business); Scale (ratio); Data management; Distribution (mathematics); Service level; Data mining; Database; Interoperability; Artificial intelligence; Engineering","score_opus":0.27351746608546035,"score_gpt":0.5206736811834997,"score_spread":0.2471562150980393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149573515","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":[0.70132005,0.00040048943,0.29459956,0.00042612298,0.00005582063,0.00025117493,0.000018409275,0.00002212694,0.002906223],"genre_scores_gemma":[0.99534863,0.0003331654,0.004160981,0.000041974497,0.000011598331,0.000030216399,0.00006475481,0.0000017696906,0.000006901639],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985096,0.00007974438,0.00034939602,0.00032424415,0.00066463044,0.00007240097],"domain_scores_gemma":[0.9986451,0.00028068753,0.00024622338,0.00028700056,0.0005048352,0.00003614994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016179049,0.00006677005,0.00008864209,0.000049418875,0.00017655976,0.0001525413,0.00021913231,0.000026354452,0.000017305878],"category_scores_gemma":[0.00035795316,0.000056768607,0.000008985262,0.00033639075,0.00012906773,0.0024769232,0.0001321358,0.00004669776,0.0000050520275],"study_design_candidate":"design_other","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":[0.0000142073895,0.000057855297,0.0004753081,0.000008280703,0.000005737167,2.5868883e-7,0.0021566069,0.0036343185,0.000046863064,0.051438782,0.00008767958,0.9420741],"study_design_scores_gemma":[0.002074119,0.0002505033,0.07781751,0.000112345166,0.00016986609,0.000042338703,0.058888577,0.70534706,0.000920482,0.12699561,0.026958961,0.00042260613],"about_ca_topic_score_codex":0.000015654881,"about_ca_topic_score_gemma":0.0000010120982,"teacher_disagreement_score":0.9416515,"about_ca_system_score_codex":0.000013838559,"about_ca_system_score_gemma":0.000061726176,"threshold_uncertainty_score":0.23149566},"labels":[],"label_agreement":null},{"id":"W2150005434","doi":"10.1109/simsym.2002.1000084","title":"Controlling buffer usage in critical channel traversing","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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":"Computer science; Traverse; Asynchronous communication; Discrete event simulation; Algorithm; Channel (broadcasting); Distributed computing; Flow control (data); Parallel computing; Theoretical computer science; Computer engineering; Computer network; Simulation","score_opus":0.22331489909870877,"score_gpt":0.47739451638443986,"score_spread":0.2540796172857311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150005434","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":[0.05410158,0.000040460338,0.80821794,0.0018288291,0.00008620795,0.00020299574,0.0000022374293,0.00007380995,0.13544595],"genre_scores_gemma":[0.9925627,0.000001702636,0.005579632,0.0005338604,0.000015007278,0.00001137405,2.7745503e-7,0.000003824362,0.0012916272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99884707,0.00008491793,0.00032663395,0.00023339131,0.0003508451,0.00015713973],"domain_scores_gemma":[0.99810195,0.0014836575,0.000025257908,0.00022941912,0.0000988934,0.000060843868],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001375298,0.000056758236,0.00012467093,0.00015220177,0.00008582855,0.00010739655,0.00015773499,0.000048543763,0.0013300162],"category_scores_gemma":[0.001978843,0.000043051736,0.000048074704,0.0004651897,0.000043861044,0.00014518911,0.000011925171,0.00007107746,0.00014883648],"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":[0.000010279752,0.00012712569,0.004303007,0.0000012953342,0.0000021037229,0.0000047152075,0.0003535783,0.0014944604,0.00144728,0.97935724,0.0025397888,0.010359152],"study_design_scores_gemma":[0.000873002,0.000038172162,0.006806238,0.000014118254,0.000005236354,0.0000075439552,0.00159741,0.112434745,0.0094549265,0.8087425,0.059756093,0.00027000555],"about_ca_topic_score_codex":0.000018504248,"about_ca_topic_score_gemma":0.000011694209,"teacher_disagreement_score":0.9384611,"about_ca_system_score_codex":0.000018910985,"about_ca_system_score_gemma":0.000017642242,"threshold_uncertainty_score":0.9995829},"labels":[],"label_agreement":null},{"id":"W2150159952","doi":"10.1109/simsym.1995.393584","title":"Hierarchical schedulings of time-next-event heuristic on distributed memory machines","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"California Institute of Technology","keywords":"Computer science; Parallel computing; Scheduling (production processes); Distributed computing; Context switch; Dataflow; Embedded system; Mathematical optimization","score_opus":0.09590227662530608,"score_gpt":0.3796834317818578,"score_spread":0.2837811551565517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150159952","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":[0.5486112,0.000107349115,0.37555775,0.010670181,0.00011681836,0.000717696,0.00018587762,0.00043330246,0.06359981],"genre_scores_gemma":[0.987298,0.0000071388504,0.0045243246,0.00028268003,0.000038752758,0.000015338099,0.000012778754,0.0000070154197,0.007813953],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998233,0.00006653845,0.0005500675,0.00030161857,0.0007159192,0.00013283642],"domain_scores_gemma":[0.99795544,0.0011070622,0.00014754834,0.00052865664,0.00016706518,0.000094209965],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005341316,0.00009968258,0.00020113467,0.00014420794,0.000094977215,0.00006223698,0.00043696145,0.00005880851,0.008701219],"category_scores_gemma":[0.0011032927,0.00006743635,0.00011367809,0.0005831726,0.000097895856,0.00008009907,0.00007382544,0.00011197416,0.0012346072],"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":[0.00008226231,0.0019174222,0.004146312,0.000013762361,0.000045481254,0.000008328272,0.00044412466,0.012237558,0.009415383,0.14734551,0.27764058,0.5467033],"study_design_scores_gemma":[0.00051516155,0.0002082406,0.008038293,0.000023337612,0.000015752616,0.0000063725147,0.000054910786,0.8121644,0.009388198,0.12378075,0.04550348,0.00030105084],"about_ca_topic_score_codex":0.000014522578,"about_ca_topic_score_gemma":0.000001152195,"teacher_disagreement_score":0.7999269,"about_ca_system_score_codex":0.000015283675,"about_ca_system_score_gemma":0.000008371513,"threshold_uncertainty_score":0.9995431},"labels":[],"label_agreement":null},{"id":"W2150247210","doi":"10.1109/pads.2009.15","title":"A Performance Evaluation of the Lightweight Time Warp Protocol in Optimistic Parallel Simulation of DEVS-Based Environmental Models","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"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; Computer science; Protocol (science); Discrete event simulation; Execution time; Distributed computing; Node (physics); Parallel computing; Real-time computing; Modeling and simulation; Simulation","score_opus":0.13056600172591004,"score_gpt":0.4157905125029583,"score_spread":0.28522451077704825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150247210","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":[0.7603871,0.000004462265,0.16193171,0.0005831942,0.000012612731,0.06179809,0.000014667498,0.000044040073,0.015224114],"genre_scores_gemma":[0.9908557,1.9776122e-7,0.004840555,0.00006199228,0.000005395586,0.004005924,0.000003482666,0.000003427232,0.00022335557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976664,0.0001234965,0.0006720964,0.00020089567,0.0012486646,0.00008843843],"domain_scores_gemma":[0.99877286,0.00026274368,0.00031787576,0.00047526963,0.00014839025,0.000022853648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016025561,0.00008189692,0.00014549836,0.00012758619,0.000053317446,0.000014257366,0.00034055702,0.00005568098,0.0006501941],"category_scores_gemma":[0.00012853128,0.000049992836,0.00006606339,0.0004307159,0.000052330462,0.00020298052,0.000025186335,0.000048789738,0.000018067252],"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":[0.000027230433,0.000128208,0.0012586748,0.0000012564417,7.897353e-7,9.6119095e-9,0.00005417553,0.9791798,0.0009784673,0.0003202462,0.000040275514,0.01801084],"study_design_scores_gemma":[0.00057899044,0.000059131766,0.0317577,0.000014255191,0.000006757736,9.159347e-8,0.000009691276,0.94637465,0.0073123635,0.013711113,0.00011863212,0.00005664084],"about_ca_topic_score_codex":0.000003428905,"about_ca_topic_score_gemma":0.0000010882203,"teacher_disagreement_score":0.23046856,"about_ca_system_score_codex":0.000060847695,"about_ca_system_score_gemma":0.00007333219,"threshold_uncertainty_score":0.711917},"labels":[],"label_agreement":null},{"id":"W2151679330","doi":"10.5555/564062.564066","title":"Addressing blocking and scalability in critical channel traversing","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Traverse; Computer science; Communication source; Scalability; Blocking (statistics); Simple (philosophy); Channel (broadcasting); Algorithm; Discrete event simulation; Distributed computing; Side channel attack; Event (particle physics); Real-time computing; Parallel computing; Computer network; Simulation; Cryptography","score_opus":0.5510093373140331,"score_gpt":0.515727045815826,"score_spread":0.03528229149820716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151679330","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":[0.87681776,0.00013960223,0.073556945,0.007862383,0.000052961466,0.00021464363,0.0000030089996,0.00012606283,0.041226603],"genre_scores_gemma":[0.99577945,0.0000025558047,0.0037458886,0.00020241592,0.000018425866,0.0000047160606,1.2765264e-7,0.0000026929401,0.00024370433],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989953,0.00004949148,0.0002758668,0.0002663514,0.00028851005,0.00012446467],"domain_scores_gemma":[0.99857676,0.0010635284,0.000023576891,0.00020511875,0.00007154652,0.00005947361],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007870253,0.00004983556,0.000098831515,0.00012453712,0.00012498486,0.00015279344,0.00011754566,0.000044179098,0.00091420155],"category_scores_gemma":[0.0011513941,0.00003950416,0.000022912647,0.00040805788,0.00010420038,0.00018138507,0.000047053956,0.00007279529,0.000026591159],"study_design_candidate":"design_other","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":[0.000013025983,0.00048596732,0.099023096,0.000017187753,0.000003615344,0.000008981388,0.0041574994,0.00068746007,0.0019623656,0.07288129,0.0063003665,0.81445915],"study_design_scores_gemma":[0.00025986508,0.000021076286,0.06814095,0.000033605444,0.0000031550649,0.000009325402,0.0011765619,0.75263685,0.001702243,0.17293862,0.0028969643,0.0001807773],"about_ca_topic_score_codex":0.000021557176,"about_ca_topic_score_gemma":0.000012468748,"teacher_disagreement_score":0.81427836,"about_ca_system_score_codex":0.00001609718,"about_ca_system_score_gemma":0.000003143143,"threshold_uncertainty_score":0.9999991},"labels":[],"label_agreement":null},{"id":"W2152287700","doi":"10.5555/1162708.1162819","title":"Channel based sequential simulation","year":2005,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Discrete event simulation; Computer science; Asynchronous communication; Timestamp; Queue; Event (particle physics); Implementation; Channel (broadcasting); Real-time computing; Algorithm; Distributed computing; Parallel computing; Simulation; Computer network","score_opus":0.25151443148222113,"score_gpt":0.45754090348680515,"score_spread":0.20602647200458402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152287700","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":[0.023601813,0.000009149519,0.9665766,0.0024837349,0.00015732154,0.00039445795,0.000023787059,0.00028555124,0.006467615],"genre_scores_gemma":[0.9924731,4.962304e-7,0.0037253753,0.0011016742,0.00032086117,0.000034121418,0.000035059074,0.000018380431,0.0022909143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971658,0.00014535943,0.00084930554,0.0006014786,0.0009842705,0.0002537582],"domain_scores_gemma":[0.9964594,0.0012519251,0.0003192769,0.00077884883,0.0010544683,0.00013604433],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00087679573,0.00020224729,0.00023414084,0.0003507468,0.0002200488,0.00041307657,0.00059329293,0.00013444487,0.0043998817],"category_scores_gemma":[0.0007006243,0.00017719723,0.00015484552,0.00061220623,0.00008072052,0.00071651215,0.00008726032,0.00014765165,0.0012169821],"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":[0.000023386865,0.000047454745,0.00042854386,0.0000011109788,0.0000037990349,2.851931e-7,0.00018375959,0.9546775,0.00016685117,0.0018542057,0.0004444625,0.04216862],"study_design_scores_gemma":[0.00037284187,0.000028042843,0.0024038425,0.000011840492,0.0000074130253,3.666767e-7,0.00003825479,0.9078975,0.0011522059,0.008632629,0.0792632,0.00019189669],"about_ca_topic_score_codex":0.000008172735,"about_ca_topic_score_gemma":0.000021473747,"teacher_disagreement_score":0.9688713,"about_ca_system_score_codex":0.00007555918,"about_ca_system_score_gemma":0.00008711521,"threshold_uncertainty_score":0.9995607},"labels":[],"label_agreement":null},{"id":"W2152343215","doi":"10.1177/1548512912465359","title":"An agent-based approach towards network-enabled capabilities – I: Simulation validation and illustrative examples","year":2012,"lang":"en","type":"article","venue":"The Journal of Defense Modeling and Simulation Applications Methodology Technology","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Ottawa; Defence Research and Development Canada","funders":"","keywords":"Computer science; Salient; Network-centric warfare; Software; Systems engineering; Software engineering; Data science; Artificial intelligence; Computer security; Engineering","score_opus":0.3331846273977881,"score_gpt":0.4570568759346498,"score_spread":0.12387224853686168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152343215","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":[0.2965318,0.00050250755,0.7017022,0.0005820789,0.000052070955,0.0004565933,0.000005657104,0.00008229898,0.000084794985],"genre_scores_gemma":[0.776309,0.00004453699,0.22321813,0.00011634166,0.00020374944,0.000060221664,0.000010609286,0.00001681912,0.000020590569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597085,0.0016196966,0.0012694534,0.00033590882,0.00047175045,0.0003323668],"domain_scores_gemma":[0.991533,0.005467986,0.00093640294,0.0007361637,0.0011804892,0.00014600356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011463426,0.00022902167,0.0004930159,0.0006729188,0.0006850788,0.00009366333,0.00047637045,0.0003544226,0.000022266498],"category_scores_gemma":[0.0016450537,0.00015860709,0.00008371552,0.0010762652,0.0004472019,0.00049719994,0.00008274738,0.00039927836,0.000002992811],"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":[0.00006570221,0.000076645556,0.0018900471,0.000004926221,0.000021274045,4.4309516e-8,0.0007575343,0.946524,0.00040445835,0.020506693,0.0000121067205,0.029736564],"study_design_scores_gemma":[0.0003351039,0.00010055857,0.00048869435,0.0000057142856,0.000102168786,0.000029200544,0.0024966132,0.8781346,0.0003187096,0.1163062,0.0015347362,0.00014767726],"about_ca_topic_score_codex":0.000016923226,"about_ca_topic_score_gemma":0.0000023986752,"teacher_disagreement_score":0.4797772,"about_ca_system_score_codex":0.0000508968,"about_ca_system_score_gemma":0.00007064814,"threshold_uncertainty_score":0.64678097},"labels":[],"label_agreement":null},{"id":"W2153762155","doi":"10.1093/icesjms/fst237","title":"Simulation testing the robustness of stock assessment models to error: some results from the ICES strategic initiative on stock assessment methods","year":2014,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Stock (firearms); Robustness (evolution); Stock assessment; Computer science; Econometrics; Economics; Engineering; Chemistry; Biology; Ecology; Mechanical engineering","score_opus":0.47647242356399916,"score_gpt":0.5361010977007016,"score_spread":0.05962867413670242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153762155","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":[0.43728372,0.000007913304,0.5531441,0.002543851,0.00021669322,0.00039133607,0.000019851203,0.00001612886,0.0063764127],"genre_scores_gemma":[0.812753,0.0000020857346,0.18673855,0.0002928545,0.00016904752,0.000010267955,0.0000010741264,0.0000061817273,0.000026924483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99446106,0.0008339985,0.001398281,0.00044257924,0.0026205154,0.00024356242],"domain_scores_gemma":[0.9707135,0.02344167,0.002425712,0.00089383515,0.0023731967,0.00015206252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020146832,0.0001723853,0.00033902252,0.00030790438,0.00064433087,0.00053975685,0.0024856501,0.000044472035,0.000037073285],"category_scores_gemma":[0.0039073653,0.00008556858,0.00010572377,0.0020064728,0.00034651387,0.0012313556,0.00054564106,0.00037780253,0.0000021815215],"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":[0.000032770018,0.000059849433,0.00081400364,9.23981e-7,0.0000073066344,2.1990205e-7,0.00035377507,0.9193139,0.00080431177,0.006064873,0.000038857936,0.072509184],"study_design_scores_gemma":[0.00025618085,0.00033704098,0.0555473,0.000045474044,0.000018242345,0.000001426156,0.0009998817,0.8244529,0.00035026233,0.11770779,0.00019016762,0.00009333797],"about_ca_topic_score_codex":0.00012820057,"about_ca_topic_score_gemma":0.00002506922,"teacher_disagreement_score":0.3754693,"about_ca_system_score_codex":0.000111543355,"about_ca_system_score_gemma":0.00046146673,"threshold_uncertainty_score":0.698253},"labels":[],"label_agreement":null},{"id":"W2153967981","doi":"10.1177/1046878110378708","title":"Applying Cellular Automata and DEVS Methodologies to Digital Games: A Survey","year":2010,"lang":"en","type":"article","venue":"Simulation & Gaming","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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":"Cellular automaton; Computer science; DEVS; Theoretical computer science; Formalism (music); Von Neumann architecture; Game theory; Modeling and simulation; Artificial intelligence; Simulation; Programming language; Mathematics","score_opus":0.28359718317966615,"score_gpt":0.4840885857674394,"score_spread":0.20049140258777326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153967981","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":[0.45961946,0.000010385625,0.53867924,0.00013132433,0.000091926304,0.00044715864,0.000025618157,0.00020638412,0.0007885127],"genre_scores_gemma":[0.9423383,8.335919e-7,0.05690522,0.00014977314,0.000059748352,0.00008057909,0.000022449707,0.000015802914,0.00042728797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997949,0.00013469701,0.00056969794,0.00052612997,0.0006030309,0.0002174369],"domain_scores_gemma":[0.992069,0.006587607,0.00018956872,0.00065769296,0.000356879,0.00013925943],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0032580607,0.00015088212,0.00023248079,0.00031461485,0.00025580422,0.0007174366,0.0003965415,0.000112001275,0.00010946057],"category_scores_gemma":[0.010081978,0.0001276321,0.00005451317,0.0008471613,0.00007085111,0.00055285514,0.00024005283,0.00016448039,0.00012547965],"study_design_candidate":"design_other","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":[0.000022439594,0.000022684799,0.043634523,0.000004207933,0.000008686425,0.0000011927004,0.0006442987,0.040523887,0.015169379,0.002508515,0.00035032147,0.89710987],"study_design_scores_gemma":[0.0004456053,0.000059387217,0.25104877,0.000018171953,0.0000126879195,0.0000041890403,0.00078881445,0.55607843,0.005549849,0.059551295,0.1258739,0.0005689249],"about_ca_topic_score_codex":0.00003629846,"about_ca_topic_score_gemma":0.000033520348,"teacher_disagreement_score":0.89654094,"about_ca_system_score_codex":0.0000152063685,"about_ca_system_score_gemma":0.000029361956,"threshold_uncertainty_score":0.9982565},"labels":[],"label_agreement":null},{"id":"W2154022955","doi":"10.5555/2675983.2676344","title":"Application of the DEVS and Cell-DEVS formalisms for modeling networking applications","year":2013,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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; Rotation formalisms in three dimensions; Computer science; Formalism (music); Distributed computing; Wireless sensor network; Computer network; Base station; Wireless; Discrete event simulation; Modeling and simulation; Wireless network; Simulation; Telecommunications","score_opus":0.12008118252447153,"score_gpt":0.38006859580291613,"score_spread":0.2599874132784446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154022955","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":[0.02903155,0.000030382706,0.9670742,0.00058946566,0.00005000969,0.0018374156,0.000013990112,0.000052370255,0.0013205736],"genre_scores_gemma":[0.9892388,0.0000036829829,0.009346906,0.00019865866,0.000087537665,0.0008196171,0.0000122911315,0.000011467137,0.00028103363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983748,0.000042046933,0.000700761,0.0003539876,0.00036938707,0.00015897854],"domain_scores_gemma":[0.9971226,0.00075312104,0.00037759377,0.0006418515,0.0010450489,0.000059785903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047410608,0.00012428084,0.0001731438,0.000097387274,0.00026918843,0.00019491202,0.00053999823,0.0000854415,0.0000631257],"category_scores_gemma":[0.00010178473,0.00008797005,0.0000925958,0.00041133637,0.00007853402,0.00037477282,0.00013596751,0.00008151605,0.000023657598],"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":[0.000015226358,0.00006280297,0.008767388,0.000024647554,0.000010282244,6.687449e-9,0.0008144432,0.6436154,0.003201564,0.056059964,0.0004194514,0.2870088],"study_design_scores_gemma":[0.00016900257,0.00001090443,0.001320897,0.000009880203,0.000009013289,2.811526e-7,0.00016750582,0.8995999,0.00074161537,0.0876233,0.010254076,0.00009361993],"about_ca_topic_score_codex":0.000040050876,"about_ca_topic_score_gemma":0.000011324157,"teacher_disagreement_score":0.9602073,"about_ca_system_score_codex":0.000018320377,"about_ca_system_score_gemma":0.00003499674,"threshold_uncertainty_score":0.35873145},"labels":[],"label_agreement":null},{"id":"W2154807360","doi":"10.1177/0037549708096300","title":"Guest Editorial: Distributed Simulation, Virtual Environments and Real Time Applications","year":2008,"lang":"en","type":"editorial","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer graphics (images)","score_opus":0.030665208696624643,"score_gpt":0.37547650105943764,"score_spread":0.344811292362813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154807360","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028201845,0.00006713381,0.2037069,0.00009609498,0.78941184,0.0022847427,0.0028149108,0.0005258444,0.0008104877],"genre_scores_gemma":[0.034287803,0.00020326166,0.00036247147,0.000016885991,0.951613,0.00030295376,0.0072263507,0.00009634718,0.005890909],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9924552,0.00026736627,0.0016661225,0.0014348692,0.003773282,0.00040317368],"domain_scores_gemma":[0.98531157,0.010794084,0.0011533715,0.0014960339,0.00096696836,0.0002779937],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001327357,0.0005530638,0.0007206198,0.00045180717,0.00079264096,0.0004090063,0.00081956905,0.0015209785,0.00017834488],"category_scores_gemma":[0.0035217486,0.0005296361,0.00020289779,0.0009440522,0.00028408648,0.0005891726,0.00029627883,0.00059993204,0.0011066997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027938338,0.00007879172,0.00010086212,0.0000033746974,0.000019862438,5.513457e-7,0.00006245382,0.19216576,0.000057986686,0.000095581396,0.80533475,0.0020520904],"study_design_scores_gemma":[0.00052560057,0.000071979695,0.00036122964,0.0000148641775,0.000055051743,3.2622958e-7,0.000014843495,0.07724851,0.000019313453,0.0024647177,0.9187519,0.00047165676],"about_ca_topic_score_codex":0.00005736252,"about_ca_topic_score_gemma":0.000004766236,"teacher_disagreement_score":0.20334443,"about_ca_system_score_codex":0.00028690218,"about_ca_system_score_gemma":0.00021349636,"threshold_uncertainty_score":0.99977523},"labels":[],"label_agreement":null},{"id":"W2155384133","doi":"10.1109/simsym.2002.1000166","title":"A flow injection model using Cell-DEVS","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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; Distributed computing; Theoretical computer science; Modeling and simulation; Simulation","score_opus":0.2324240584793494,"score_gpt":0.4405042383391893,"score_spread":0.20808017985983987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155384133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07700392,0.0000058576575,0.82759726,0.00005124695,0.000031073418,0.00009823611,0.0000015207917,0.00008126333,0.09512964],"genre_scores_gemma":[0.8239912,8.06984e-7,0.16760127,0.0001833845,0.000010273381,0.0000068286727,4.940753e-7,0.0000043446253,0.008201411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990481,0.000033174492,0.00025350304,0.00020953202,0.0003619994,0.000093690884],"domain_scores_gemma":[0.99929315,0.00011680204,0.00006169497,0.00031984854,0.00016295163,0.000045526318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058129616,0.000054434786,0.000071706956,0.000113436414,0.00014397937,0.00010009863,0.00014080401,0.0000449308,0.00070647034],"category_scores_gemma":[0.00018774204,0.000040488932,0.000048670623,0.0005429515,0.000016152178,0.00016525191,0.000017970815,0.000044256725,0.00015721167],"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":[0.0000015639113,0.000040089242,0.00059302145,4.279497e-7,9.0493415e-7,1.0651997e-7,0.00010581566,0.94958884,0.0035802803,0.030845761,0.0072467267,0.007996459],"study_design_scores_gemma":[0.000059010115,0.0000059656522,0.000027210295,5.2599734e-7,0.0000016265174,0.0000020187106,0.0000979059,0.8690166,0.008116995,0.115408294,0.0072104675,0.00005338673],"about_ca_topic_score_codex":0.000017483422,"about_ca_topic_score_gemma":0.000003997764,"teacher_disagreement_score":0.7469873,"about_ca_system_score_codex":0.000023726016,"about_ca_system_score_gemma":0.000043209653,"threshold_uncertainty_score":0.7735355},"labels":[],"label_agreement":null},{"id":"W2155442212","doi":"","title":"Distributed Mission Training - How Distributed Should It Be","year":2004,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aircrew; Training (meteorology); Aeronautics; Context (archaeology); Engineering; Operations research; Simulation; Meteorology; Geography","score_opus":0.23066633611936613,"score_gpt":0.40371131360183493,"score_spread":0.1730449774824688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155442212","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":[0.0146138,0.000008597118,0.9294266,0.047257334,0.00015791152,0.0007873412,0.0014897365,0.0009719351,0.005286759],"genre_scores_gemma":[0.9871141,0.000010902197,0.0064310255,0.0037081095,0.00005255399,0.00005976123,0.0025186203,0.000014697339,0.000090268426],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962785,0.00006880339,0.0013110783,0.00037929078,0.0014894872,0.0004728187],"domain_scores_gemma":[0.99715424,0.00045067843,0.00051126286,0.000940962,0.00060578674,0.00033709238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012696189,0.00028586652,0.0003754107,0.0003332041,0.00039558636,0.0007244738,0.00085018505,0.00031220837,0.00030971618],"category_scores_gemma":[0.0025645,0.00022480787,0.0002683777,0.0014502257,0.00017045725,0.0017364137,0.00024536301,0.00040339245,0.00027862506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034164384,0.0011451499,0.0025913492,0.000054535572,0.000086453256,0.000022986043,0.003594219,0.01687806,0.0028714999,0.22466384,0.65051347,0.09723677],"study_design_scores_gemma":[0.001500204,0.00009634109,0.0037782975,0.000063983054,0.000021791631,0.000061744635,0.0011495652,0.00494827,0.0016011063,0.025013817,0.961323,0.00044186154],"about_ca_topic_score_codex":0.000010958235,"about_ca_topic_score_gemma":0.0000071852423,"teacher_disagreement_score":0.97250026,"about_ca_system_score_codex":0.00023207329,"about_ca_system_score_gemma":0.00010265317,"threshold_uncertainty_score":0.9167398},"labels":[],"label_agreement":null},{"id":"W2155711415","doi":"10.1109/icct.2000.890901","title":"Synchronization and concurrent control in communication network simulation","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Traverse; Computer science; Synchronization (alternating current); Discrete event simulation; Schedule; Distributed computing; Set (abstract data type); Lock (firearm); Event (particle physics); Computation; Parallel computing; Channel (broadcasting); Computer network; Simulation; Algorithm; Engineering","score_opus":0.12368943419641501,"score_gpt":0.4057536503325084,"score_spread":0.28206421613609334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155711415","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":[0.022531247,0.0006743231,0.9638139,0.0022264998,0.0000420779,0.00055003143,0.0000033840804,0.00011103867,0.010047507],"genre_scores_gemma":[0.9977432,0.0000686701,0.0012683962,0.00038856102,0.000027817578,0.000028507333,0.000005316616,0.000004779034,0.0004647639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998815,0.00013651795,0.00044343979,0.00020584493,0.0002906538,0.000108560635],"domain_scores_gemma":[0.9980471,0.0012678812,0.00012618526,0.00036147493,0.0001567228,0.00004063505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081638293,0.00006618494,0.00012151524,0.000104349165,0.00012241257,0.00012060363,0.00018477964,0.000053689804,0.0009272385],"category_scores_gemma":[0.00032690875,0.000054482964,0.000020659107,0.0006032799,0.00004863783,0.00024251563,0.00003939543,0.000067542125,0.00008397597],"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":[0.0000037634768,0.00007102048,0.06531925,0.0000013651202,0.0000030183428,1.6685e-7,0.000246009,0.45033658,0.00001587679,0.059217807,0.007941,0.41684416],"study_design_scores_gemma":[0.00035622992,0.000011065871,0.018014591,0.0000061413775,0.0000022433865,3.8919052e-7,0.000038089936,0.9466426,0.000004186893,0.018569596,0.016291743,0.00006313574],"about_ca_topic_score_codex":0.000017008679,"about_ca_topic_score_gemma":0.00004282337,"teacher_disagreement_score":0.9752119,"about_ca_system_score_codex":0.000028851333,"about_ca_system_score_gemma":0.0000040684795,"threshold_uncertainty_score":0.99998605},"labels":[],"label_agreement":null},{"id":"W2156058889","doi":"10.1109/ipdps.2005.315","title":"Optimized Dynamic Grid-Based DDM Protocol for Large-Scale Distributed Simulation Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":24,"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 Ottawa","funders":"","keywords":"Computer science; Distributed computing; Grid; Software deployment; Overhead (engineering); Scheme (mathematics); Protocol (science); Grid computing; Distributed Interactive Simulation; Computer network; Operating system","score_opus":0.09520864228059221,"score_gpt":0.46770577321501977,"score_spread":0.37249713093442754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156058889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023293868,0.0000012319441,0.8860612,0.0009741793,0.000040261402,0.111235246,0.00029611823,0.0003274509,0.000831362],"genre_scores_gemma":[0.45204154,6.85062e-8,0.11488499,0.00030102464,0.00016580295,0.42873862,0.00023612313,0.000025532665,0.0036063162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977107,0.000078563266,0.0008410034,0.00046079853,0.0006481994,0.00026075653],"domain_scores_gemma":[0.9969454,0.0013581512,0.00029631663,0.0006553336,0.0006394043,0.00010544008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013712789,0.00015077171,0.0002549128,0.00016094363,0.00027498123,0.00029885804,0.00042312365,0.00011786205,0.000609522],"category_scores_gemma":[0.00043581153,0.000108942004,0.00016047941,0.0006074294,0.000024988198,0.00025424865,0.000039367696,0.000064668486,0.00014228576],"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":[0.000079145546,0.00014121995,0.00014138604,0.0000066667394,0.0000029102775,5.108994e-8,0.00001688097,0.9848814,0.00005817231,0.0017451283,0.010279492,0.0026475212],"study_design_scores_gemma":[0.001460155,0.000027963573,0.00019174337,0.000006824329,0.000003779525,1.841749e-7,0.000050933177,0.670334,0.00029298972,0.00087139715,0.32665697,0.00010305647],"about_ca_topic_score_codex":0.0000073227584,"about_ca_topic_score_gemma":0.000014113523,"teacher_disagreement_score":0.7711762,"about_ca_system_score_codex":0.00009959003,"about_ca_system_score_gemma":0.00006297925,"threshold_uncertainty_score":0.66738385},"labels":[],"label_agreement":null},{"id":"W2156409740","doi":"10.1109/ccece.1995.526578","title":"A transputer based simulation of colliding pucks","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Waterloo","funders":"","keywords":"Transputer; Speedup; Computer science; Discrete event simulation; Benchmark (surveying); Parallel computing; Overhead (engineering); Event (particle physics); Simulation; Operating system; Physics","score_opus":0.3227222042284812,"score_gpt":0.4416561017423024,"score_spread":0.11893389751382122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156409740","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":[0.034444973,0.000009004365,0.9361562,0.0007263643,0.00001910138,0.00016739,0.000005727157,0.00007108428,0.028400118],"genre_scores_gemma":[0.986555,7.66638e-7,0.011002835,0.0002296703,0.000013996534,0.000009811273,0.0000010020143,0.000003832479,0.0021830841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988939,0.000031628606,0.00038522301,0.00016461604,0.00045317077,0.00007145724],"domain_scores_gemma":[0.9984427,0.00092274515,0.00009430289,0.00030779088,0.00019812398,0.000034338354],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004137228,0.000048454527,0.00010257131,0.00014695106,0.00005594134,0.000039848517,0.00020191878,0.000040157265,0.005931977],"category_scores_gemma":[0.00016148174,0.000035841513,0.00007324639,0.0006237324,0.000025004867,0.000120881705,0.000008547374,0.000028121513,0.000109483386],"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":[0.000013185607,0.00024851493,0.008965727,0.000005256677,0.000007447958,6.157594e-7,0.0005071969,0.77114475,0.004955381,0.022022301,0.011008458,0.18112119],"study_design_scores_gemma":[0.00013931269,0.000017171085,0.0010659768,0.000002706455,0.0000025631043,1.01705886e-7,0.000022589578,0.95895606,0.0070297187,0.0049345107,0.027782807,0.000046489266],"about_ca_topic_score_codex":0.000004769972,"about_ca_topic_score_gemma":0.0000020419695,"teacher_disagreement_score":0.95211005,"about_ca_system_score_codex":0.000008185302,"about_ca_system_score_gemma":0.0000049713244,"threshold_uncertainty_score":0.99497676},"labels":[],"label_agreement":null},{"id":"W2156657940","doi":"10.5555/1351542.1351834","title":"\"Pull\" replenishment performance as a function of demand rates and setup times under optimal settings","year":2007,"lang":"en","type":"article","venue":"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":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Reorder point; Computer science; Kanban; Nonlinear system; Reduction (mathematics); Mathematical optimization; Point (geometry); Lead time; Function (biology); Simulation; Real-time computing; Mathematics; Engineering; Operations management; Control (management); Economic order quantity","score_opus":0.07381599771655452,"score_gpt":0.3960377434471561,"score_spread":0.3222217457306016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156657940","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":[0.63558745,0.000021940285,0.36087978,0.00034478348,0.000049290327,0.00020517188,0.000005781846,0.000049985836,0.002855833],"genre_scores_gemma":[0.9958322,0.0000065535924,0.0020384202,0.00031440158,0.000039404313,0.000008981129,0.000011833697,0.000008487689,0.0017397008],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981303,0.000047886082,0.00070586393,0.00040590085,0.00054091355,0.0001691243],"domain_scores_gemma":[0.99779093,0.0008436865,0.0003429091,0.00038388502,0.00055627874,0.000082302526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014716322,0.00013576102,0.00019856294,0.00020494947,0.00014337023,0.00014142388,0.00020941923,0.000085411884,0.00083121937],"category_scores_gemma":[0.00023610258,0.000111913876,0.00005322751,0.0003360678,0.00011657829,0.0004094252,0.00009729779,0.000095071286,0.000049631195],"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":[0.0012226325,0.00035609675,0.12437978,0.000077865036,0.00012230776,0.0000027673816,0.004464013,0.36257756,0.019438453,0.06348746,0.00480997,0.4190611],"study_design_scores_gemma":[0.00078606285,0.00039770064,0.2560066,0.00009529065,0.000036741523,0.000007404011,0.0012737686,0.6744762,0.022752974,0.025018075,0.0187914,0.00035780758],"about_ca_topic_score_codex":0.000008487565,"about_ca_topic_score_gemma":0.00000402316,"teacher_disagreement_score":0.4187033,"about_ca_system_score_codex":0.000022425535,"about_ca_system_score_gemma":0.000039796007,"threshold_uncertainty_score":0.9101269},"labels":[],"label_agreement":null},{"id":"W2157279120","doi":"10.24908/pceea.v0i0.3752","title":"A PEER REVIEWED ONLINE COMPUTATIONAL MODELING FRAMEWORK","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Data science; Set (abstract data type); Computational model; Intellectual property; Embodied cognition; Work (physics); Discipline; Pillar; Knowledge management; Engineering; Simulation; Artificial intelligence","score_opus":0.0870713050841615,"score_gpt":0.34087452461502216,"score_spread":0.25380321953086066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157279120","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":[0.8001827,0.00063372275,0.059703767,0.07620984,0.004746851,0.0034829385,0.0004163477,0.00076528656,0.053858552],"genre_scores_gemma":[0.9547537,0.0000071112017,0.040931474,0.00060348667,0.0001469717,0.000052425694,0.000012984265,0.000021091097,0.0034707312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977768,0.000011370326,0.00062676636,0.0002680178,0.0010926632,0.0002243619],"domain_scores_gemma":[0.9949748,0.00019293258,0.0005255038,0.00020372447,0.0039043846,0.00019867772],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0015767651,0.00013104118,0.00019571898,0.00038266578,0.00021875298,0.00014069468,0.00068930973,0.00016222699,0.00022014412],"category_scores_gemma":[0.009778259,0.000111877496,0.00013672783,0.0012361953,0.000016975862,0.00028507377,0.00004383104,0.00024911235,0.000035789326],"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":[0.000007925676,0.0004386251,0.15821695,0.00012805793,0.00012909748,8.7362785e-8,0.007945986,0.055804767,0.00024142532,0.5894958,0.1737036,0.013887692],"study_design_scores_gemma":[0.00022156452,0.000025219286,0.16971312,0.00031704333,0.00008393611,0.0000049020364,0.0012834148,0.4530009,0.00039726114,0.25255758,0.12179726,0.0005977809],"about_ca_topic_score_codex":0.0029712133,"about_ca_topic_score_gemma":0.0009996773,"teacher_disagreement_score":0.3971961,"about_ca_system_score_codex":0.000766357,"about_ca_system_score_gemma":0.00054059096,"threshold_uncertainty_score":0.9985628},"labels":[],"label_agreement":null},{"id":"W2158894158","doi":"10.1109/icecs.2006.379650","title":"Acceleration for a compiled Transaction Level Modeling simulation","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","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; Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Database transaction; Semantics (computer science); Discrete event simulation; Event (particle physics); Computation; Acceleration; Distributed computing; Simulation modeling; Modeling and simulation; Simulation; Programming language","score_opus":0.6080161230495248,"score_gpt":0.5193656345755652,"score_spread":0.08865048847395962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158894158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019001538,0.000015529,0.9749682,0.0006524009,0.00023996754,0.0018693475,0.00020205491,0.00032241014,0.002728535],"genre_scores_gemma":[0.9130175,0.000002515984,0.08317918,0.0001238603,0.00024862375,0.00046220917,0.0005048409,0.000025594998,0.002435648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99691594,0.00007012457,0.0011964815,0.0007942458,0.00083905755,0.00018415783],"domain_scores_gemma":[0.9967247,0.00089996884,0.00039488816,0.0007405,0.0011842867,0.000055638433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012989012,0.00023728212,0.00036189097,0.00037660176,0.0002906603,0.0006099422,0.00049478543,0.0003964194,0.00024413136],"category_scores_gemma":[0.00022497938,0.00020471605,0.00032177597,0.00030740435,0.000019913952,0.00027322513,0.000079329664,0.00023251526,0.000034984805],"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":[0.000019601615,0.000043545537,0.000041469706,0.0000075858998,0.0000058186974,2.4810818e-8,0.000044529395,0.9506402,0.00011775336,0.0018980165,0.0014516212,0.04572984],"study_design_scores_gemma":[0.00023326132,0.000012814045,0.00023368011,0.000011185952,0.000020072848,1.5242111e-7,0.000022886128,0.8146867,0.00035754405,0.18108732,0.0031413373,0.00019303894],"about_ca_topic_score_codex":0.0001900467,"about_ca_topic_score_gemma":0.00011408673,"teacher_disagreement_score":0.89401597,"about_ca_system_score_codex":0.00010739093,"about_ca_system_score_gemma":0.00009948245,"threshold_uncertainty_score":0.8348078},"labels":[],"label_agreement":null},{"id":"W2159191547","doi":"10.1109/have.2009.5356113","title":"Dynamic partitioning of distributed virtual simulations for reducing communication load","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"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 Ottawa","funders":"","keywords":"Computer science; Distributed computing; High-level architecture; Load balancing (electrical power); Scheme (mathematics); Overhead (engineering); Distributed Interactive Simulation; Interoperability","score_opus":0.08865046000855968,"score_gpt":0.43838755600213614,"score_spread":0.34973709599357644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159191547","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":[0.115553886,0.000025568992,0.87976396,0.0022758665,0.00001682809,0.00037017348,0.00012972261,0.0001009764,0.0017630066],"genre_scores_gemma":[0.96496433,0.0000040620357,0.03417599,0.000099152036,0.000007470472,0.000020854153,0.00015042946,0.0000039266497,0.0005737684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862915,0.00004532646,0.0006193984,0.00020375698,0.00039345486,0.000108911576],"domain_scores_gemma":[0.99706036,0.0012461746,0.00025048686,0.000658822,0.0007422828,0.000041904314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078042614,0.00006834081,0.00014550709,0.0000994137,0.0002592032,0.000075699136,0.00035835628,0.000051860115,0.00020242053],"category_scores_gemma":[0.0012349852,0.00005833328,0.00008459151,0.0006007171,0.000050476123,0.0002311206,0.000029580196,0.000049583196,0.00001181205],"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":[0.000050173836,0.0003559842,0.0010008827,0.0000027260614,0.000014894996,5.997745e-8,0.0005975001,0.36314577,0.018947441,0.4469151,0.012257634,0.15671185],"study_design_scores_gemma":[0.00029829898,0.00009682252,0.009667268,0.000016279997,0.000010820937,5.247129e-7,0.0002682787,0.73072743,0.0045480784,0.24662857,0.0076289577,0.00010865255],"about_ca_topic_score_codex":0.000016830705,"about_ca_topic_score_gemma":0.00002039883,"teacher_disagreement_score":0.8494105,"about_ca_system_score_codex":0.000055179054,"about_ca_system_score_gemma":0.00005005488,"threshold_uncertainty_score":0.23787622},"labels":[],"label_agreement":null},{"id":"W2159521602","doi":"10.1109/pads.2009.18","title":"On Determining How Many Computers to Use in Parallel VLSI Simulation","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Parallel computing; Very-large-scale integration; Discrete event simulation; Event (particle physics); Execution time; Parallel algorithm; Running time; Speedup; Parallel processing; Algorithm; Simulation; Embedded system","score_opus":0.1995037336495803,"score_gpt":0.4392798570393487,"score_spread":0.2397761233897684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159521602","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":[0.38546994,4.9209274e-7,0.61020696,0.0025894786,0.000025021669,0.00023057614,0.0000010251863,0.00008409468,0.0013923994],"genre_scores_gemma":[0.947948,3.2178e-7,0.047080025,0.0035936264,0.00001657168,0.000008659346,0.0000017493215,0.000003962343,0.0013471013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873954,0.00004206032,0.00029736932,0.00033162363,0.0004467224,0.00014268693],"domain_scores_gemma":[0.9980067,0.0013474072,0.00006934912,0.00040760785,0.00008934154,0.00007956886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041714255,0.00008637277,0.00012872899,0.0003350344,0.00006619837,0.00032479802,0.000284682,0.000047131238,0.000074343574],"category_scores_gemma":[0.0005173649,0.00006759977,0.000044401142,0.00064435473,0.000009302938,0.00029765518,0.000030937994,0.000059843387,0.00014068813],"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":[0.000019561565,0.000063632535,0.0065110144,2.0842656e-7,8.4729567e-7,0.0000026165462,0.00019406163,0.7168992,0.0001670671,0.031644627,0.005758059,0.23873907],"study_design_scores_gemma":[0.0002049328,0.00010693858,0.20703909,0.000009710034,7.856595e-7,4.1353974e-7,0.000045506225,0.75553423,0.00014592875,0.028181924,0.008609335,0.00012120673],"about_ca_topic_score_codex":0.000009687524,"about_ca_topic_score_gemma":0.000016828271,"teacher_disagreement_score":0.5631269,"about_ca_system_score_codex":0.000031333297,"about_ca_system_score_gemma":0.000007956511,"threshold_uncertainty_score":0.31320348},"labels":[],"label_agreement":null},{"id":"W2159658669","doi":"","title":"AN ADVANCED COLLABORATIVE INFRASTRUCTURE FOR THE REAL-TIME COMPUTATIONAL STEERING OF LARGE CFD SIMULATIONS","year":2006,"lang":"en","type":"article","venue":"Research Repository (Delft University of Technology)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computation; Computational fluid dynamics; Grid; Process (computing); Distributed computing; Work (physics); Computational model; Power (physics); Simulation; Engineering; Aerospace engineering; Operating system; Mechanical engineering","score_opus":0.03230494526241898,"score_gpt":0.3950370882930378,"score_spread":0.36273214303061885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159658669","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":[0.90221506,0.000048147158,0.09422844,0.00070947356,0.000019899799,0.00083798514,0.00022399856,0.00012368182,0.0015933072],"genre_scores_gemma":[0.96742016,0.000006408331,0.031546153,0.0000017982399,0.00001705415,0.000003406743,0.000018813378,0.0000064534984,0.0009797725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831635,0.00011411627,0.00032427566,0.00030905375,0.0007379801,0.0001982325],"domain_scores_gemma":[0.99486107,0.0015061429,0.00026701542,0.00062413217,0.002704014,0.000037655107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089529634,0.00007917955,0.0001951146,0.00062169123,0.000853095,0.00003237166,0.0009400428,0.00015461253,0.000040738094],"category_scores_gemma":[0.00029300092,0.00006729302,0.00006920889,0.0020018455,0.0005758728,0.00023188224,0.0001616881,0.000177769,0.0000029147845],"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":[0.00016010828,0.00026159085,0.008020618,0.000013901197,0.00004936482,0.000003568129,0.00031582563,0.6211438,0.1924941,0.16605207,0.004308253,0.007176785],"study_design_scores_gemma":[0.0013618597,0.00047036703,0.062629186,0.00003710142,0.00003204318,0.0000040676,0.008481685,0.70243526,0.042004198,0.13791236,0.044403188,0.00022870969],"about_ca_topic_score_codex":0.00008319118,"about_ca_topic_score_gemma":0.000019985324,"teacher_disagreement_score":0.1504899,"about_ca_system_score_codex":0.00007841488,"about_ca_system_score_gemma":0.0001987613,"threshold_uncertainty_score":0.6561404},"labels":[],"label_agreement":null},{"id":"W2160029619","doi":"10.5555/1161734.1162067","title":"Air cargo operations evaluation and analysis through simulation","year":2004,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Air Canada; Carleton University","funders":"","keywords":"Computer science; Work (physics); Air cargo; Control (management); Set (abstract data type); Systems engineering; Operations research; Risk analysis (engineering); Process management; Transport engineering; Engineering; Business","score_opus":0.23187174997167803,"score_gpt":0.4894507241277072,"score_spread":0.25757897415602915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160029619","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":[0.232044,0.000029239558,0.7635612,0.0012091153,0.000071341005,0.00056585745,0.00002753824,0.0001214803,0.0023702397],"genre_scores_gemma":[0.99070436,0.000004362291,0.008197226,0.0004803994,0.000071252325,0.00007528557,0.00010960173,0.000012779497,0.00034474905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99675965,0.00019544209,0.00086857507,0.00072881737,0.0012456579,0.00020187742],"domain_scores_gemma":[0.9960949,0.0007450326,0.00021577276,0.00077480124,0.0020663626,0.00010314829],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012739017,0.00020814611,0.00032012866,0.00047145726,0.00038686284,0.00042431193,0.00034797055,0.00013270018,0.0010213412],"category_scores_gemma":[0.0011795305,0.000181041,0.0001582144,0.0018544137,0.000114114184,0.001141981,0.00010094418,0.00013157065,0.00013950058],"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":[0.000009245779,0.00003756791,0.0033902407,0.0000010048813,0.00004355183,2.0161914e-7,0.0011947386,0.96903276,0.00011528426,0.014783378,0.000015679847,0.011376324],"study_design_scores_gemma":[0.00051426096,0.00003316221,0.042460877,0.000009396186,0.00017344404,5.703374e-7,0.00022737728,0.8887092,0.00033589755,0.06509742,0.002244565,0.0001938501],"about_ca_topic_score_codex":0.00011333247,"about_ca_topic_score_gemma":0.00024148055,"teacher_disagreement_score":0.7586604,"about_ca_system_score_codex":0.00011912168,"about_ca_system_score_gemma":0.00013725378,"threshold_uncertainty_score":0.9998919},"labels":[],"label_agreement":null},{"id":"W2161105844","doi":"10.1023/a:1017555931930","title":"Random-Direction Optimization Algorithms with Applications to Threshold Controls","year":2001,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Convergence (economics); Mathematical optimization; Stochastic optimization; Computer science; Rate of convergence; Class (philosophy); Algorithm; Stochastic approximation; Mathematics; Key (lock); Artificial intelligence","score_opus":0.035395414333277087,"score_gpt":0.35788658585160116,"score_spread":0.32249117151832407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161105844","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":[0.00054936664,0.00021955745,0.99173915,0.0016120275,0.00003718272,0.001555593,0.000015793059,0.00008712197,0.0041842153],"genre_scores_gemma":[0.4457859,0.0010046081,0.54485327,0.0016641112,0.0009435884,0.0020871223,0.0000573322,0.00008309924,0.0035209213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972977,0.00020371286,0.0011470385,0.00041214522,0.00073386973,0.0002055139],"domain_scores_gemma":[0.9954008,0.0011744265,0.00090251566,0.0005577397,0.001674855,0.0002896647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002968525,0.00021076419,0.000402513,0.00062399596,0.0005598899,0.00034268518,0.0004975925,0.00011393173,0.00037195586],"category_scores_gemma":[0.00030544313,0.0001561454,0.00011635915,0.002149362,0.00013490254,0.0006185899,0.000052399617,0.00019220903,0.00002466329],"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":[0.00030199176,0.00014233052,0.00039949542,0.0000021373694,0.00002995999,7.08168e-7,0.00008589062,0.9156487,0.000103252736,0.050177164,0.0003429444,0.032765456],"study_design_scores_gemma":[0.0060865246,0.0007136712,0.00083266303,0.00008675781,0.00038827813,0.00069119333,0.0020871565,0.49883604,0.0008669562,0.12789768,0.3605234,0.0009896738],"about_ca_topic_score_codex":0.0000018533498,"about_ca_topic_score_gemma":0.0000015570488,"teacher_disagreement_score":0.44688585,"about_ca_system_score_codex":0.00006186269,"about_ca_system_score_gemma":0.00009415366,"threshold_uncertainty_score":0.6367425},"labels":[],"label_agreement":null},{"id":"W2161800297","doi":"10.1109/ds-rt.2008.13","title":"Interfacing and Coordination for a DEVS Simulation Protocol Standard","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Interoperability; Computer science; Interfacing; Implementation; Scalability; Protocol (science); Distributed computing; Interface (matter); Standardization; Discrete event simulation; Composability; SOAP; Computer network; Operating system; Software engineering; Modeling and simulation; Simulation; Programming language","score_opus":0.2692129358771715,"score_gpt":0.5168337789683983,"score_spread":0.24762084309122684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161800297","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":[0.030162008,0.0000011752195,0.9333582,0.0005237245,0.000011450975,0.031858534,0.000008005081,0.00010545428,0.00397146],"genre_scores_gemma":[0.952818,8.850864e-8,0.020279562,0.00008803708,0.000022944256,0.024372995,0.0000017380785,0.0000051700754,0.0024114824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990388,0.000020975409,0.00033260998,0.00021744493,0.00031020486,0.00007997895],"domain_scores_gemma":[0.9985049,0.00073253526,0.00010596173,0.00017302415,0.00044456465,0.000039051516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006075166,0.000059069265,0.00009920534,0.00012112804,0.00024376991,0.00007801173,0.00009987689,0.00003845115,0.00015092577],"category_scores_gemma":[0.0006988293,0.000043277316,0.000031707506,0.00025457705,0.00004022813,0.00017397797,0.0000478768,0.00003117334,0.000012168511],"study_design_candidate":"design_other","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":[0.0004180466,0.0000998764,0.02296409,0.000023124692,0.000012767135,6.4022686e-7,0.001305396,0.024305515,0.0030525022,0.09105631,0.03226534,0.8244964],"study_design_scores_gemma":[0.0009693709,0.00017042407,0.0049488633,0.00000728324,0.000002881993,0.000004022432,0.00014434123,0.5718976,0.008145189,0.13354969,0.2800178,0.00014248177],"about_ca_topic_score_codex":0.0000051762026,"about_ca_topic_score_gemma":0.0000045509905,"teacher_disagreement_score":0.922656,"about_ca_system_score_codex":0.00002260127,"about_ca_system_score_gemma":0.00002661106,"threshold_uncertainty_score":0.18749058},"labels":[],"label_agreement":null},{"id":"W2162135116","doi":"10.1109/pads.2010.5471661","title":"A Multi-State Q-Learning Approach for the Dynamic Load Balancing of Time Warp","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Load balancing (electrical power); Parallel computing; Q-learning; State (computer science); Algorithm design; Distributed computing; Algorithm; Reinforcement learning; Artificial intelligence","score_opus":0.058601591725798916,"score_gpt":0.3916949012031057,"score_spread":0.33309330947730675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162135116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053037025,0.000009706773,0.9428103,0.00026878694,0.00002784656,0.0004313334,0.000007330059,0.00007912557,0.0033285364],"genre_scores_gemma":[0.82364243,0.0000018628887,0.16107443,0.000051880346,0.00001075599,0.000061096616,0.000002916274,0.0000067050373,0.015147935],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989455,0.000024027382,0.00032864467,0.00021527543,0.00037053254,0.000116026604],"domain_scores_gemma":[0.99773514,0.0013361055,0.00015783585,0.0004085777,0.00033026704,0.000032045067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018444114,0.00006341052,0.000118480646,0.00005466603,0.00017718124,0.000067357556,0.00046070732,0.00004048112,0.0002877637],"category_scores_gemma":[0.00097266573,0.000034381846,0.00008801198,0.00030286,0.00006471988,0.00007533908,0.000064156506,0.00013309195,0.000057607118],"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":[0.000052538493,0.00031735544,0.008139751,0.000014976838,0.000044514552,1.7857812e-7,0.0022290694,0.0711501,0.4272181,0.0067337938,0.0071069514,0.47699267],"study_design_scores_gemma":[0.00015120163,0.000012257003,0.0024075522,9.38456e-7,0.000003982034,8.638925e-7,0.00015022155,0.9806097,0.002095156,0.0021990347,0.012317047,0.000052034837],"about_ca_topic_score_codex":0.000041952037,"about_ca_topic_score_gemma":0.000025881114,"teacher_disagreement_score":0.9094596,"about_ca_system_score_codex":0.000009104221,"about_ca_system_score_gemma":0.000036049292,"threshold_uncertainty_score":0.31508103},"labels":[],"label_agreement":null},{"id":"W2162625727","doi":"10.1109/icas.2008.32","title":"Coordinating Autonomous Agents for Force Protection Using Contract Net","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Athabasca University; Lockheed Martin (Canada)","funders":"","keywords":"Battlespace; Combatant; Survivability; Computer science; Computer security; Task (project management); Interoperability; Situation awareness; Risk analysis (engineering); Knowledge management; Process management; Systems engineering; Engineering; Business; Computer network; World Wide Web","score_opus":0.363831659479415,"score_gpt":0.4575597513308489,"score_spread":0.09372809185143394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162625727","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":[0.2414964,0.0000041892054,0.754025,0.00024583424,0.0000489654,0.00078138243,0.000005659937,0.00012538927,0.0032671744],"genre_scores_gemma":[0.9604359,5.856171e-7,0.0314535,0.0002049091,0.00006284074,0.00011859595,0.0000025425413,0.000008269881,0.0077128345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888855,0.000026043444,0.00038802903,0.00025609526,0.0002982937,0.00014297245],"domain_scores_gemma":[0.99890375,0.00032756434,0.0001811664,0.0002448673,0.00029452197,0.000048108945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063540845,0.00007175219,0.00012278437,0.00010357123,0.0004695028,0.000077800825,0.00019139245,0.00005427094,0.00026967548],"category_scores_gemma":[0.00056917075,0.0000561908,0.000079741294,0.00033424198,0.000032474894,0.00022910812,0.000028826005,0.00004758759,0.000028947992],"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":[0.0001290256,0.00048584977,0.023665369,0.000017506198,0.000055733395,0.000005695164,0.0015702235,0.058779337,0.057979446,0.09767692,0.0399754,0.7196595],"study_design_scores_gemma":[0.00033330655,0.000049593888,0.00525726,0.0000035722455,0.0000043243786,0.000019133055,0.00007379758,0.9224129,0.008609137,0.017423762,0.04569344,0.00011979389],"about_ca_topic_score_codex":0.00011574735,"about_ca_topic_score_gemma":0.0000062737017,"teacher_disagreement_score":0.8636335,"about_ca_system_score_codex":0.00004514022,"about_ca_system_score_gemma":0.00004120741,"threshold_uncertainty_score":0.36110833},"labels":[],"label_agreement":null},{"id":"W2163300652","doi":"10.5555/1357910.1357962","title":"eCD++: an engine for executing DEVS models in embedded platforms","year":2007,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":27,"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; Computer science; Formalism (music); Embedded system; Distributed computing; Object-oriented modeling; Modeling and simulation; Operating system; Simulation; Object-oriented programming","score_opus":0.35579404742258297,"score_gpt":0.47728223670361997,"score_spread":0.121488189281037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163300652","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":[0.18104325,0.000008159491,0.8173103,0.00007019212,0.00013507286,0.0005639549,0.0000110821575,0.00013388575,0.00072412315],"genre_scores_gemma":[0.892379,8.541894e-7,0.10695634,0.00029158624,0.00015518088,0.000027936925,0.000043899363,0.000015628628,0.0001296064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739534,0.00003085381,0.0010023001,0.0006079196,0.0005914816,0.00037209946],"domain_scores_gemma":[0.99638623,0.0018335945,0.00025860657,0.0006170924,0.00075819343,0.00014628064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002304145,0.00019201315,0.00027950655,0.00047845827,0.00016678937,0.00026005867,0.0006057309,0.00013710393,0.00008972067],"category_scores_gemma":[0.00016751548,0.00016738697,0.00008932403,0.00073007477,0.00004275699,0.0009905817,0.00009808032,0.0001373471,0.000025606674],"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":[0.00003285679,0.000055260723,0.0019015273,0.0000028746063,0.000003063043,6.9734205e-7,0.000804374,0.7334858,0.000051238883,0.038402397,0.00006852973,0.22519138],"study_design_scores_gemma":[0.00048867014,0.000052213745,0.0043487353,0.000016090517,0.000002807911,5.94906e-7,0.00014828324,0.85988164,0.00042390497,0.13293447,0.0015098528,0.00019276765],"about_ca_topic_score_codex":0.000026780688,"about_ca_topic_score_gemma":0.000109779525,"teacher_disagreement_score":0.7113357,"about_ca_system_score_codex":0.00005145881,"about_ca_system_score_gemma":0.00006636651,"threshold_uncertainty_score":0.6825842},"labels":[],"label_agreement":null},{"id":"W2164966594","doi":"10.1109/simsym.1997.586458","title":"A heterogeneous environment for hardware/software cosimulation","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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 Waterloo","funders":"","keywords":"Interfacing; Computer science; Embedded system; Field-programmable gate array; Software; Synchronization (alternating current); Interface (matter); Queueing theory; Computer architecture; Hardware compatibility list; Computer hardware; Operating system; Hardware architecture","score_opus":0.20051067762446007,"score_gpt":0.38469566926458904,"score_spread":0.18418499164012897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164966594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01060591,0.000055333294,0.9857675,0.00087930146,0.00003785606,0.0005980131,0.000029703213,0.0001746692,0.0018517241],"genre_scores_gemma":[0.9333819,0.000009655804,0.05314885,0.0004966888,0.000046832673,0.00016998088,0.000009194868,0.0000104659375,0.012726422],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987239,0.000021884438,0.0003587476,0.0003170828,0.00044714136,0.00013119279],"domain_scores_gemma":[0.99860156,0.00068215764,0.00009358893,0.00047023507,0.000086198175,0.000066292865],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031173913,0.000080452395,0.00011020481,0.000085948275,0.00016088225,0.000101021826,0.00025714975,0.000051421124,0.0062598754],"category_scores_gemma":[0.00029242365,0.00006154438,0.00010573089,0.00015150839,0.000026130092,0.00010840136,0.000040461393,0.000027361444,0.0008998255],"study_design_candidate":"not_applicable","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":[0.000014982361,0.00024480044,0.0047887145,0.000003141495,0.000014609301,8.5495566e-7,0.00022929006,0.06921793,0.0003929587,0.008183593,0.123769924,0.7931392],"study_design_scores_gemma":[0.0002351084,0.00005471513,0.0007504847,0.0000013204339,0.000005246951,0.0000029876799,0.000016519365,0.21199583,0.0018388253,0.02600149,0.7589768,0.000120629695],"about_ca_topic_score_codex":0.0000029748571,"about_ca_topic_score_gemma":0.000001555042,"teacher_disagreement_score":0.9326186,"about_ca_system_score_codex":0.00003035805,"about_ca_system_score_gemma":0.000002588116,"threshold_uncertainty_score":0.9998781},"labels":[],"label_agreement":null},{"id":"W2165321771","doi":"10.1051/itmconf/20140301002","title":"Activity in PythonPDEVS","year":2014,"lang":"en","type":"article","venue":"ITM Web of Conferences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"DEVS; Exploit; Computer science; Domain (mathematical analysis); Distributed computing; Simulation; Modeling and simulation","score_opus":0.14736667684752675,"score_gpt":0.4258561167492231,"score_spread":0.27848943990169633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165321771","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":[0.8039199,0.00000935425,0.015752217,0.0010693974,0.000052041403,0.00011094911,0.0000043195073,0.000035693127,0.17904614],"genre_scores_gemma":[0.9987044,0.0000058108863,0.000647599,0.000053768934,0.000021794194,0.00001358471,6.016531e-7,0.000002258607,0.0005502129],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988124,0.00009972202,0.00032945853,0.00020533912,0.00045559873,0.00009751331],"domain_scores_gemma":[0.9982237,0.001047192,0.00017124525,0.0003460559,0.00017511973,0.000036642377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012671567,0.00006181636,0.0001890019,0.00019457257,0.000031124982,0.000054566586,0.00043676904,0.000051247538,0.0006106675],"category_scores_gemma":[0.0007342977,0.000045231725,0.00004588705,0.00046788793,0.00009626309,0.00013395802,0.00004827283,0.00006428645,0.000060635328],"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":[0.000013842134,0.00008474998,0.2217952,0.0000026469654,0.0000026512944,1.7197883e-7,0.00010178258,0.00009840984,0.0051076845,0.34408447,0.0015354555,0.42717293],"study_design_scores_gemma":[0.00028462042,0.00007489854,0.42892203,0.000018692137,0.0000028235943,4.810262e-7,0.00015310547,0.032464944,0.02519756,0.29527825,0.21745451,0.00014809472],"about_ca_topic_score_codex":0.00013672977,"about_ca_topic_score_gemma":0.00019064256,"teacher_disagreement_score":0.42702484,"about_ca_system_score_codex":0.000005417643,"about_ca_system_score_gemma":0.00017990853,"threshold_uncertainty_score":0.6686381},"labels":[],"label_agreement":null},{"id":"W2165464318","doi":"10.5555/2429759.2429830","title":"Methodology for synchronizing discrete event simulation and system dynamics models","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Synchronizing; Synchronization (alternating current); Computer science; Discrete event simulation; Event (particle physics); Sequence (biology); System dynamics; Real-time computing; Simulation; Distributed computing; Artificial intelligence; Transmission (telecommunications)","score_opus":0.4235873005118141,"score_gpt":0.4995394486185364,"score_spread":0.0759521481067223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165464318","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":[0.034865823,0.000059641126,0.9625614,0.00031359235,0.00022902525,0.000719199,0.000051233215,0.00015311239,0.0010469628],"genre_scores_gemma":[0.96851015,0.0000014225186,0.030729493,0.0000892238,0.00014760866,0.000090021385,0.000036873156,0.000019030882,0.0003761932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978,0.00025709564,0.00077080214,0.00044331737,0.00042558194,0.00030319663],"domain_scores_gemma":[0.9940528,0.004300378,0.0003592688,0.0004887691,0.00065274106,0.0001459977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022344128,0.0001831954,0.00031329703,0.00021328697,0.00024397396,0.00020393064,0.00028926542,0.00014137644,0.0000689005],"category_scores_gemma":[0.00075360265,0.00015386484,0.00010724718,0.0002578538,0.00007216473,0.00089904235,0.00012380308,0.00009619377,0.000023497178],"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":[0.000029751982,0.000016239475,0.0017003156,0.000014411176,0.000010361052,5.6732418e-8,0.0006540166,0.7834442,0.000050287723,0.17963025,0.00002607526,0.03442403],"study_design_scores_gemma":[0.0002621381,0.000032839205,0.0014815046,0.000029961193,0.000022867076,0.0000018695229,0.0006518239,0.9593111,0.00008742899,0.036381885,0.0015646487,0.00017191684],"about_ca_topic_score_codex":0.000012818332,"about_ca_topic_score_gemma":0.000011427101,"teacher_disagreement_score":0.9336443,"about_ca_system_score_codex":0.00013535442,"about_ca_system_score_gemma":0.00003216975,"threshold_uncertainty_score":0.6274426},"labels":[],"label_agreement":null},{"id":"W2167964192","doi":"10.5555/1161734.1161874","title":"Exploring agent-supported simulation brokering on the semantic web: foundations for a dynamic composability approach","year":2004,"lang":"en","type":"article","venue":"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":"University of Ottawa","funders":"","keywords":"Composability; Interoperability; Interoperation; Computer science; Rotation formalisms in three dimensions; Software engineering; Reuse; Semantic Web; Web service; World Wide Web; Semantic interoperability; Extensibility; Distributed computing; Engineering; Programming language","score_opus":0.48448201248477124,"score_gpt":0.448864033992527,"score_spread":0.03561797849224424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167964192","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":[0.2706495,0.000002169982,0.7249222,0.0014898011,0.00014493875,0.001271164,0.000035031007,0.00019784263,0.0012873878],"genre_scores_gemma":[0.9935287,0.0000018909312,0.0053038145,0.0002906973,0.00006967861,0.00047066374,0.00008085538,0.000025689065,0.0002279968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708325,0.00013961103,0.00094487786,0.00074207375,0.0007945477,0.00029563744],"domain_scores_gemma":[0.9943233,0.0032693143,0.00036904434,0.0010645238,0.00087465876,0.00009912581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013224768,0.00024991803,0.00027974942,0.0002644897,0.00063664047,0.00052976137,0.00067990227,0.00008313004,0.00022772972],"category_scores_gemma":[0.0015487359,0.00018460801,0.0002187687,0.0007410137,0.00013896958,0.0007140546,0.00010550705,0.00019261922,0.00015585919],"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":[0.000037781203,0.00012491236,0.0004912354,0.000007190848,0.000014191996,1.3539848e-7,0.00069533766,0.96292204,0.00053036225,0.02505491,0.000024307497,0.010097605],"study_design_scores_gemma":[0.0005275485,0.00006218032,0.007507452,0.000034045595,0.000017458407,6.602603e-7,0.00038659177,0.94097537,0.00037150382,0.046477754,0.0034328501,0.00020661272],"about_ca_topic_score_codex":0.000014583928,"about_ca_topic_score_gemma":0.000025983654,"teacher_disagreement_score":0.72287923,"about_ca_system_score_codex":0.00018052968,"about_ca_system_score_gemma":0.00011447839,"threshold_uncertainty_score":0.75280964},"labels":[],"label_agreement":null},{"id":"W2169243076","doi":"10.1109/mascot.2002.1167093","title":"Distributed simulation of dynamic channel access protocols","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Channel (broadcasting); Computer science; Channel allocation schemes; Computation; Distributed computing; Wireless; Scheme (mathematics); Computer network; Algorithm; Telecommunications","score_opus":0.2273054068152919,"score_gpt":0.531831324812106,"score_spread":0.30452591799681417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169243076","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":[0.012089099,0.000002327645,0.97333163,0.00016621317,0.000016235519,0.005369813,0.000031280048,0.000083456514,0.008909929],"genre_scores_gemma":[0.9960573,3.2651184e-7,0.0015169174,0.000049543534,0.000004310619,0.0015067708,0.000010543221,0.000004939401,0.00084938866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985936,0.00006665513,0.0005076902,0.00022936807,0.00050100597,0.00010164925],"domain_scores_gemma":[0.99828714,0.0005369864,0.00021885845,0.00048767414,0.00042365046,0.00004567381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077311724,0.000068788104,0.00014190187,0.0001242803,0.00007124648,0.00010417421,0.0004257231,0.000051766117,0.0008795685],"category_scores_gemma":[0.0010736667,0.000049549875,0.000061792896,0.00097109587,0.000037631053,0.0002708022,0.000044557255,0.000039077622,0.000044702665],"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":[0.000055928936,0.0007136671,0.016014237,0.000022469076,0.00002284758,8.056695e-7,0.00021175544,0.70976776,0.0026127135,0.18963115,0.00734022,0.07360647],"study_design_scores_gemma":[0.00032459706,0.00004044772,0.015862502,0.000009766041,0.0000035610851,6.1668305e-7,0.00008221954,0.6629736,0.010379402,0.2696162,0.040567476,0.00013962659],"about_ca_topic_score_codex":0.0000067634655,"about_ca_topic_score_gemma":0.000005165917,"teacher_disagreement_score":0.98396814,"about_ca_system_score_codex":0.000018701341,"about_ca_system_score_gemma":0.000031355834,"threshold_uncertainty_score":0.9630658},"labels":[],"label_agreement":null},{"id":"W2169697004","doi":"10.1109/wsc.2000.899723","title":"Effective real-time simulations of event-based systems","year":2002,"lang":"en","type":"article","venue":"2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Toolbox; Computer science; Reset (finance); Event (particle physics); Set (abstract data type); Discrete event simulation; Software; Automotive industry; Real-time computing; Algorithm; Simulation; Programming language; Engineering","score_opus":0.07197288092132274,"score_gpt":0.3625466938947716,"score_spread":0.29057381297344886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169697004","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":[0.7603043,0.000022962142,0.19261456,0.0007489337,0.00044941934,0.0036688305,0.00024881848,0.0007713672,0.04117086],"genre_scores_gemma":[0.9873067,0.000007778653,0.004711817,0.00015919,0.00023473351,0.00019306803,0.000042891264,0.000053942134,0.0072898385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947703,0.00012996518,0.0018656874,0.0010791171,0.0016429061,0.00051202346],"domain_scores_gemma":[0.99061525,0.002186257,0.0012273988,0.000752434,0.0049545653,0.0002641052],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001236817,0.00047824957,0.0007656046,0.0008447902,0.00034951142,0.00061478635,0.0010595366,0.00032143272,0.004421034],"category_scores_gemma":[0.0018557981,0.00042676792,0.00031145368,0.0017128276,0.00023677043,0.0010954607,0.0001458992,0.00019482158,0.0018806036],"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":[0.00032756882,0.0012976938,0.025124103,0.00017396892,0.00016847896,0.0000026925532,0.004596256,0.7861429,0.13136224,0.01060719,0.016523283,0.023673622],"study_design_scores_gemma":[0.00080170645,0.00021341715,0.0026608163,0.00015214279,0.000045759054,0.0000014513225,0.00020466153,0.98509943,0.0025557226,0.0021951026,0.0056338343,0.00043594107],"about_ca_topic_score_codex":0.00006737786,"about_ca_topic_score_gemma":0.0000033494448,"teacher_disagreement_score":0.22700249,"about_ca_system_score_codex":0.00024968057,"about_ca_system_score_gemma":0.00012303398,"threshold_uncertainty_score":0.9998184},"labels":[],"label_agreement":null},{"id":"W2171072529","doi":"10.1177/0037549713508334","title":"Factors affecting warm-up periods in discrete event simulation","year":2013,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Initialization; Mean squared error; Event (particle physics); Mathematics; Monte Carlo method; Statistics; Queueing theory; Computer science; Applied mathematics; Variable (mathematics)","score_opus":0.1620184527003988,"score_gpt":0.4706852088219431,"score_spread":0.30866675612154426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171072529","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":[0.80398834,0.000011715955,0.1940245,0.00019088984,0.00015106799,0.00075485936,0.0000042658435,0.00013465279,0.0007396982],"genre_scores_gemma":[0.9982501,7.872776e-7,0.00046458672,0.00006530447,0.00008019209,0.000041598298,0.000031052612,0.00002034228,0.001046012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997385,0.00018215475,0.00083998684,0.00050117425,0.0008244168,0.00026722185],"domain_scores_gemma":[0.9962008,0.0025098224,0.00031061558,0.0005371304,0.0003441203,0.00009752809],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009779269,0.00019075381,0.00024623383,0.00041536806,0.000229641,0.00031025798,0.0002999224,0.00013493415,0.0012368305],"category_scores_gemma":[0.0016446803,0.00014714964,0.00013149594,0.0010921399,0.00003977167,0.0009567087,0.000081500904,0.00015755926,0.00031348565],"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":[0.0000041291178,0.000021172147,0.07872648,0.0000017591884,0.00000214431,8.99523e-8,0.00092090486,0.8955588,0.000323062,0.0003262214,0.000052656247,0.024062585],"study_design_scores_gemma":[0.00018792434,0.000019342608,0.29638165,0.000009222724,0.0000029120233,6.724515e-8,0.00052728865,0.6890941,0.00038183355,0.011985571,0.0012780025,0.00013206375],"about_ca_topic_score_codex":0.00018051598,"about_ca_topic_score_gemma":0.000032820022,"teacher_disagreement_score":0.21765517,"about_ca_system_score_codex":0.00012561673,"about_ca_system_score_gemma":0.00002630781,"threshold_uncertainty_score":0.99967617},"labels":[],"label_agreement":null},{"id":"W2171961750","doi":"10.1109/disrta.1998.694565","title":"On the development of a generic interface for HLA and DIS simulations","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"CAE (Canada)","funders":"","keywords":"Computer science; Interface (matter); High-level architecture; Distributed computing; User interface; Protocol (science); Software engineering; Software; Human–computer interaction; Computer architecture; Operating system; Interoperability","score_opus":0.3099695168449276,"score_gpt":0.44064139128815255,"score_spread":0.13067187444322498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171961750","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":[0.3010141,0.000023169154,0.691429,0.0021403935,0.000015437878,0.0003025792,0.0000083395635,0.000021901507,0.0050450666],"genre_scores_gemma":[0.96048015,9.347299e-7,0.03636612,0.00012888598,0.000007203466,0.000036090663,5.385221e-7,0.00000260138,0.0029774606],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936444,0.000013372421,0.0002615467,0.00012484612,0.00018483795,0.00005096039],"domain_scores_gemma":[0.9979544,0.0016503128,0.00006699091,0.00021125423,0.00009734335,0.000019666099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002788378,0.00003978852,0.00006110325,0.000051388706,0.0001384681,0.000035789184,0.00015589749,0.000016606438,0.000877001],"category_scores_gemma":[0.00032943208,0.000020804024,0.000022231954,0.00022470516,0.000030809155,0.000034215915,0.000034654553,0.000017763938,0.000022779092],"study_design_candidate":"design_other","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":[0.000012068027,0.00021120084,0.0012675138,0.0000037413965,0.000019477236,2.1315286e-8,0.003803347,0.0063622436,0.0034332476,0.21848333,0.07869485,0.687709],"study_design_scores_gemma":[0.00022374974,0.000057118254,0.0038050504,0.000007542588,0.000005453265,3.217419e-7,0.0005245392,0.5806978,0.028301049,0.09004352,0.29620865,0.00012521872],"about_ca_topic_score_codex":0.0000010341041,"about_ca_topic_score_gemma":0.000010105221,"teacher_disagreement_score":0.68758374,"about_ca_system_score_codex":0.000006178217,"about_ca_system_score_gemma":0.000005222041,"threshold_uncertainty_score":0.96025455},"labels":[],"label_agreement":null},{"id":"W2173570133","doi":"10.1007/978-1-4614-0481-1_2","title":"Advanced Theory of TCAD Process Simulation","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Crosslight Software (Canada)","funders":"","keywords":"Process (computing); Computer science; Operating system","score_opus":0.20331979017532145,"score_gpt":0.43983203318043734,"score_spread":0.2365122430051159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173570133","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008425374,0.00006063412,0.18514459,0.000026208123,0.000040140138,0.000375373,0.000023405357,0.000098160446,0.81414723],"genre_scores_gemma":[0.4310573,0.000012568796,0.0012378098,0.00006774407,0.000028850352,0.0000131921215,0.000009555231,0.000020341073,0.5675526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99784535,0.000019438072,0.0008283778,0.00042725287,0.00078300224,0.00009657148],"domain_scores_gemma":[0.99651,0.0010444918,0.00068794936,0.00080567866,0.0008966865,0.000055173874],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008256156,0.00018173782,0.00034087192,0.00028263344,0.00005933838,0.00002563375,0.00059107493,0.00024386331,0.011288623],"category_scores_gemma":[0.00032263465,0.0001316566,0.00016435138,0.00010670761,0.00011566944,0.00015892522,0.00006844855,0.00013103177,0.0004031698],"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":[0.000018333787,0.0000103756465,0.000011305361,0.0000040632326,0.0000064403966,1.2715007e-7,0.00008217216,0.0015520902,0.000010719487,0.8221119,0.0002632794,0.17592917],"study_design_scores_gemma":[0.00007229723,0.000028692164,0.000054329594,0.000023340974,0.000012695258,2.7316898e-7,0.00002453627,0.0010875099,0.00057152135,0.8730527,0.124933414,0.00013865619],"about_ca_topic_score_codex":0.0000013808659,"about_ca_topic_score_gemma":0.0000018348009,"teacher_disagreement_score":0.43097305,"about_ca_system_score_codex":0.000014365646,"about_ca_system_score_gemma":0.00005564092,"threshold_uncertainty_score":0.9896152},"labels":[],"label_agreement":null},{"id":"W2183108876","doi":"10.22215/etd/2014-10117","title":"Computational Fluid Dynamic Solver Based on Cellular Discrete-Event Simulation for use in Biological Systems","year":2014,"lang":"en","type":"dissertation","venue":"","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Solver; Cellular automaton; Fluid dynamics; Discrete event simulation; Computational fluid dynamics; Formalism (music); Computational science; Modeling and simulation; Simulation; Algorithm; Engineering; Programming language; Physics; Aerospace engineering","score_opus":0.11023164749266824,"score_gpt":0.4304394180641009,"score_spread":0.3202077705714327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183108876","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":[0.100275524,0.000018257339,0.8959807,0.0000847174,0.0003445623,0.0022107342,0.00014785833,0.00012548103,0.0008121521],"genre_scores_gemma":[0.9829391,0.0000014344397,0.0060381284,0.0001676572,0.00006194619,0.0005429126,0.0061527514,0.00003333528,0.0040627387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996231,0.0002178119,0.0013402366,0.0008976248,0.0010600275,0.0002532816],"domain_scores_gemma":[0.99184483,0.006317241,0.00054971274,0.000590071,0.0006079068,0.00009024018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014986176,0.0003210607,0.0005127681,0.0006617844,0.00017489443,0.00037033914,0.00047509663,0.00047093382,0.00023278756],"category_scores_gemma":[0.0010669451,0.00023474557,0.00029990386,0.0005122077,0.00003423494,0.00015183761,0.000019968218,0.00018470261,0.00010365887],"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":[0.00017624788,0.00009343807,0.00047117285,0.000014345907,0.0000050888452,3.7499515e-7,0.000025765048,0.9890034,0.000087600914,0.007180774,0.0007299124,0.002211834],"study_design_scores_gemma":[0.0006944831,0.00012743613,0.005762271,0.000063800944,0.000010464734,8.31344e-8,0.00012584543,0.9761126,0.000067447465,0.010792312,0.005950545,0.000292728],"about_ca_topic_score_codex":0.000058955822,"about_ca_topic_score_gemma":0.000091222595,"teacher_disagreement_score":0.8899426,"about_ca_system_score_codex":0.0001458109,"about_ca_system_score_gemma":0.0000933082,"threshold_uncertainty_score":0.95726466},"labels":[],"label_agreement":null},{"id":"W2186584278","doi":"","title":"Impact of Data on Simulation: From Early Practices to Federated and Agent-Directed Simulation","year":2001,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":18,"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 Ottawa","funders":"","keywords":"Milestone; Computer science; Concurrency; Diversity (politics); Data science; Sociology; Programming language","score_opus":0.40835968542709217,"score_gpt":0.5546084949513591,"score_spread":0.14624880952426694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186584278","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":[0.8752511,0.000011593417,0.12089597,0.00041161827,0.000022427079,0.00038853037,0.00010981347,0.00015802424,0.0027509257],"genre_scores_gemma":[0.9935643,0.000004783975,0.0054364624,0.00014257834,0.00005697396,0.000005820456,0.00009173045,0.000009914892,0.00068741007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979678,0.0001174473,0.00055752683,0.00056382536,0.00066748756,0.00012592555],"domain_scores_gemma":[0.99362236,0.0042669624,0.00050495926,0.0009632989,0.0005143681,0.00012803396],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065770105,0.00012507237,0.00020560695,0.00021808805,0.000154086,0.00033683266,0.00044686405,0.00007575689,0.0014813931],"category_scores_gemma":[0.0030191387,0.00008929619,0.000042500465,0.0010778918,0.00002645729,0.00088212,0.00016280117,0.00006853374,0.0001394534],"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":[0.0004012076,0.00026584597,0.16348302,8.6361086e-7,0.00005854522,0.0000020031853,0.00035908926,0.6401468,0.0018990963,0.00026986885,0.0041040913,0.18900956],"study_design_scores_gemma":[0.00019110944,0.00011269024,0.35660553,0.000005198039,0.000008578739,2.2697223e-7,0.000035536483,0.6355485,0.0001258356,0.0017626444,0.005517487,0.00008670544],"about_ca_topic_score_codex":0.0012381219,"about_ca_topic_score_gemma":0.000083537896,"teacher_disagreement_score":0.1931225,"about_ca_system_score_codex":0.000026766294,"about_ca_system_score_gemma":0.00003846612,"threshold_uncertainty_score":0.9994314},"labels":[],"label_agreement":null},{"id":"W2188939236","doi":"","title":"Software Agents for Experimental Design in Advanced Simulation Environments","year":2001,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"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 Ottawa","funders":"","keywords":"Computer science; Software; Software design; Systems engineering; Software engineering; Simulation; Software development; Engineering; Programming language","score_opus":0.2518454841854226,"score_gpt":0.4790722837152294,"score_spread":0.22722679952980684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188939236","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":[0.122666016,0.00001566109,0.8759561,0.00007374525,0.00002741793,0.0007024541,0.0000029202438,0.000046654743,0.0005090154],"genre_scores_gemma":[0.91577286,0.0000028459826,0.07929113,0.0002098531,0.0000132910145,0.0002067669,0.000006804105,0.000007855982,0.0044886055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881077,0.00003845964,0.00035591616,0.0002997648,0.00036009873,0.00013497155],"domain_scores_gemma":[0.9987447,0.00082730677,0.000080842154,0.00027727842,0.000025179828,0.00004466101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047017323,0.00007644336,0.000100707766,0.00012020103,0.00008428799,0.000046545996,0.00022104969,0.00004459416,0.00087266194],"category_scores_gemma":[0.00030635038,0.00006342569,0.00004660315,0.0002707999,0.000017908244,0.00024984078,0.000035108267,0.000026146681,0.00011552122],"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":[0.000110726,0.00030277754,0.017636565,4.8523054e-7,0.0000029411074,9.836698e-7,0.00023803691,0.81427413,0.004684557,0.0012797989,0.0018054997,0.1596635],"study_design_scores_gemma":[0.0016748292,0.00015947723,0.02970385,0.0000064819624,0.0000029556722,9.571933e-7,0.0005322467,0.6914361,0.03164377,0.042690184,0.20186438,0.00028474382],"about_ca_topic_score_codex":0.0000037046266,"about_ca_topic_score_gemma":0.0000015715322,"teacher_disagreement_score":0.796665,"about_ca_system_score_codex":0.000058334386,"about_ca_system_score_gemma":0.000007632171,"threshold_uncertainty_score":0.95550364},"labels":[],"label_agreement":null},{"id":"W2208881628","doi":"10.1109/icc.1989.49919","title":"A network performance advisor for computer networks","year":2003,"lang":"en","type":"article","venue":"","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":"Queen's University","funders":"","keywords":"Computer science; Expert system; Process (computing); Network packet; Selection (genetic algorithm); Software engineering; Computer network; Artificial intelligence; Operating system","score_opus":0.11544161691193894,"score_gpt":0.38638145424704384,"score_spread":0.2709398373351049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208881628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041636955,0.000025377087,0.97579074,0.00034588797,0.00014906997,0.00035249488,9.545985e-7,0.00009781259,0.019073967],"genre_scores_gemma":[0.8180214,0.000004791418,0.17438002,0.0014634468,0.00021098238,0.000095053314,0.0000023641126,0.0000069856746,0.005814935],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989939,0.000030870775,0.0003182043,0.00024246576,0.00022243199,0.00019214496],"domain_scores_gemma":[0.9986181,0.00070766296,0.00007476036,0.00036119585,0.00018438666,0.00005386316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010462804,0.000069275535,0.00011447618,0.000038633345,0.00019949368,0.00010564649,0.0002519332,0.000048774993,0.00049434195],"category_scores_gemma":[0.00008404847,0.000048418064,0.000053149135,0.00045718267,0.000023961173,0.00010639359,0.000024569907,0.00004436921,0.000088177534],"study_design_candidate":"not_applicable","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":[0.000007724982,0.000025611667,0.0055628736,8.669453e-7,0.0000032328276,5.1242786e-8,0.000014836294,0.26648116,0.0000026597597,0.17235908,0.4297046,0.1258373],"study_design_scores_gemma":[0.00010296241,0.00003888058,0.001861994,0.0000016440283,0.0000015039479,9.2996214e-7,0.0000051771253,0.5083863,0.000032190157,0.021588158,0.4679191,0.00006112611],"about_ca_topic_score_codex":7.7142e-7,"about_ca_topic_score_gemma":0.0000013107525,"teacher_disagreement_score":0.81385773,"about_ca_system_score_codex":0.000008042176,"about_ca_system_score_gemma":0.000015072947,"threshold_uncertainty_score":0.5412698},"labels":[],"label_agreement":null},{"id":"W2216417687","doi":"","title":"A practical application of FGDLS to birds flock trajectory","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Flocking (texture); Scheduling (production processes); Loop (graph theory); Trajectory; Schedule; Algorithm; Parallel computing; Mathematical optimization; Mathematics; Combinatorics","score_opus":0.1572448227216747,"score_gpt":0.4965835185183954,"score_spread":0.3393386957967207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216417687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040988974,0.000006012608,0.9254049,0.010006268,0.00001520366,0.00038645155,0.000005117849,0.00012008642,0.02306695],"genre_scores_gemma":[0.846209,0.0000011535985,0.15114245,0.00062899425,0.00006802192,0.000072690134,0.0000010641244,0.0000054724837,0.0018711832],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984812,0.00003561487,0.0004917844,0.00027434705,0.0006126843,0.00010435105],"domain_scores_gemma":[0.99833876,0.0005891089,0.00011455505,0.00056884513,0.00028796055,0.00010077623],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00085620896,0.000063034895,0.00012951832,0.00017815307,0.00004935203,0.000037113696,0.0002840172,0.000052704527,0.000854442],"category_scores_gemma":[0.00057682785,0.000046939527,0.00006132279,0.000799119,0.000030346855,0.00015976316,0.000051093717,0.000052920415,0.0010878037],"study_design_candidate":"not_applicable","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":[0.00002535846,0.00031604024,0.0036155242,0.0000018723194,0.000005236849,1.4173406e-7,0.00027423125,0.0022403412,0.023534313,0.21315429,0.1340729,0.62275976],"study_design_scores_gemma":[0.00014099966,0.0000579989,0.010866558,0.000002069088,0.0000057827065,0.0000033325286,0.00017898316,0.038947854,0.0552028,0.011184638,0.8832801,0.00012888534],"about_ca_topic_score_codex":0.00002805941,"about_ca_topic_score_gemma":0.000038954342,"teacher_disagreement_score":0.80522,"about_ca_system_score_codex":0.000023583394,"about_ca_system_score_gemma":0.000042227995,"threshold_uncertainty_score":0.99968994},"labels":[],"label_agreement":null},{"id":"W2225441821","doi":"10.1007/978-3-540-87993-0","title":"Scalable Uncertainty Management","year":2008,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scalability; Database","score_opus":0.05691525305791073,"score_gpt":0.3553772469724204,"score_spread":0.29846199391450967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225441821","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":[0.00008725255,0.00011660439,0.954511,0.0005741369,0.00045768364,0.0005138923,0.00000863027,0.00012393147,0.04360689],"genre_scores_gemma":[0.1628892,0.00026542024,0.7340989,0.006180983,0.0012677509,0.000148551,0.00004246123,0.00008069706,0.09502604],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950556,0.00004789538,0.00071840914,0.0014056137,0.0023222514,0.0004502364],"domain_scores_gemma":[0.99642557,0.0010765952,0.00028904187,0.001681733,0.00039369162,0.00013338383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178417,0.00029568136,0.00040535475,0.0010735194,0.0003825913,0.00044968067,0.0031123746,0.00021004089,0.00014474343],"category_scores_gemma":[0.00021363028,0.00022889944,0.0001334021,0.0024043235,0.00076895143,0.00023455074,0.0008698786,0.00041220136,0.00033181708],"study_design_candidate":"design_other","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":[0.000002676246,0.000027480499,0.00008849603,0.0000055098762,0.000003256141,0.000019347151,0.00012728965,0.14187936,0.0000048099005,0.0045355116,0.0076026088,0.84570366],"study_design_scores_gemma":[0.0001493471,0.00003913763,0.00046217145,0.000087901986,0.0000046018954,0.000019308307,3.8977896e-7,0.2708924,0.00018237988,0.54156184,0.18623054,0.00036994411],"about_ca_topic_score_codex":0.000015564015,"about_ca_topic_score_gemma":0.000021610376,"teacher_disagreement_score":0.8453337,"about_ca_system_score_codex":0.00041099355,"about_ca_system_score_gemma":0.00045710074,"threshold_uncertainty_score":0.9334249},"labels":[],"label_agreement":null},{"id":"W22412286","doi":"10.4103/0019-5278.93198","title":"A GENERIC DISTRIBUTED SIMULATION SYSTEM FOR INTELLIGENT AGENT DESIGN AND EVALUATION","year":2000,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":29,"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 Manitoba","funders":"","keywords":"Computer science; Distributed computing; Process (computing); Simulation modeling; Simulation; Human–computer interaction","score_opus":0.3287486761916061,"score_gpt":0.4669187079863646,"score_spread":0.1381700317947585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W22412286","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":[0.047569584,0.000043235723,0.94981813,0.00023395682,0.000031019732,0.0015450163,0.000017936996,0.000116803734,0.0006243009],"genre_scores_gemma":[0.97473,0.000004951378,0.024145983,0.000058871658,0.00004587707,0.0003312117,0.000038011964,0.0000063779075,0.00063871575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842286,0.00013209801,0.0004534879,0.00031798304,0.00056372955,0.00010982381],"domain_scores_gemma":[0.99807936,0.0010318323,0.00009525039,0.00030026637,0.00042770436,0.00006556395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023393338,0.00008222672,0.000119457836,0.00008507033,0.00017656386,0.0001575432,0.0001457174,0.000050647155,0.0008540671],"category_scores_gemma":[0.00023943112,0.000060480037,0.000049498132,0.00040454106,0.00002085018,0.000121373276,0.000015051452,0.000021964774,0.00009020383],"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":[0.000018959141,0.000016698363,0.000056792487,0.0000018422971,0.000003385978,3.9643293e-8,0.000049526716,0.5930592,0.000079192905,0.0014228096,0.0016088504,0.40368274],"study_design_scores_gemma":[0.00018209728,0.000037230042,0.000792899,0.0000040799528,0.000017037424,9.601362e-7,0.000121264806,0.95446205,0.0013289677,0.009322088,0.033655815,0.00007549992],"about_ca_topic_score_codex":0.000007636137,"about_ca_topic_score_gemma":8.608132e-7,"teacher_disagreement_score":0.92716044,"about_ca_system_score_codex":0.000083601284,"about_ca_system_score_gemma":0.000028460396,"threshold_uncertainty_score":0.93514353},"labels":[],"label_agreement":null},{"id":"W2247559579","doi":"10.4271/2010-01-0019","title":"Applying Virtual Statistical Modeling for Vehicle Dynamics","year":2010,"lang":"en","type":"article","venue":"SAE International Journal of Materials and Manufacturing","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":"Chrysler (Canada)","funders":"","keywords":"Vehicle dynamics; Dynamics (music); Computer science; Automotive engineering; Statistical model; Engineering; Simulation; Artificial intelligence; Physics; Acoustics","score_opus":0.05061769375328924,"score_gpt":0.38294707532491884,"score_spread":0.3323293815716296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247559579","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":[0.71913135,0.0000034326301,0.27941662,0.000422226,0.00076569285,0.0001108065,0.000079531084,0.000008637454,0.000061691404],"genre_scores_gemma":[0.98417515,0.000010231747,0.01519066,0.000104975115,0.00043034143,0.000017627313,0.000008688409,0.00000845692,0.0000538753],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99862134,0.00001934993,0.00063170854,0.00013570505,0.0004953593,0.00009654448],"domain_scores_gemma":[0.99875337,0.00043706698,0.00029494852,0.000099298035,0.00034772878,0.000067588844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011890049,0.00007520206,0.0001639475,0.00015229249,0.00008622612,0.00038457962,0.00037862817,0.000051553077,0.00017724825],"category_scores_gemma":[0.00037570007,0.000056610857,0.000047937818,0.000018898045,0.000030692565,0.00024640717,0.00008260915,0.00010071454,0.0000042295524],"study_design_candidate":"bench_or_experimental","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":[0.00035893358,0.000100135716,0.00031266973,0.0000101163205,0.00009230924,0.00001286321,0.00021417592,0.009359581,0.34882134,0.165813,0.00075229426,0.47415257],"study_design_scores_gemma":[0.0016726302,0.00017239568,0.0051840735,0.000051066785,0.000037181533,0.00019635049,0.00065355405,0.13830644,0.32652768,0.49673328,0.03013287,0.0003324811],"about_ca_topic_score_codex":0.000014855777,"about_ca_topic_score_gemma":0.0000173632,"teacher_disagreement_score":0.4738201,"about_ca_system_score_codex":0.000020663956,"about_ca_system_score_gemma":0.000023847888,"threshold_uncertainty_score":0.370851},"labels":[],"label_agreement":null},{"id":"W2262121664","doi":"10.5555/2872965.2872969","title":"Semantic selection for model composition using SAMSaaS","year":2015,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Computer science; Ontology; Reuse; Semantics (computer science); Software engineering; Domain (mathematical analysis); Unified Modeling Language; Selection (genetic algorithm); Artificial intelligence; Software; Programming language","score_opus":0.5498139205482993,"score_gpt":0.5267562156959017,"score_spread":0.023057704852397554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262121664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11907637,0.0000032760274,0.87759787,0.00037732336,0.000029608356,0.000258032,0.000003621278,0.000101422294,0.0025524588],"genre_scores_gemma":[0.8305824,1.9539296e-7,0.16803874,0.0001870779,0.00003822043,0.000020610705,0.0000047085396,0.000004812088,0.0011232393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912965,0.000019229148,0.0002446595,0.00018602794,0.00033363554,0.000086765154],"domain_scores_gemma":[0.99905694,0.00014542945,0.000074945856,0.00015842124,0.0005021991,0.000062094536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071554916,0.000049309667,0.000082427454,0.00010698203,0.0001216441,0.000104378436,0.00012684023,0.00003956664,0.00003265365],"category_scores_gemma":[0.00011655115,0.000038409096,0.000045456083,0.0003458398,0.000014821552,0.00019613029,0.000020431758,0.000025197509,0.000036125548],"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":[0.00003925961,0.000106381216,0.0024414428,0.0000024609874,0.0000063224647,4.468932e-8,0.00022669083,0.76972085,0.02658804,0.14507692,0.041481193,0.014310378],"study_design_scores_gemma":[0.000119986726,0.000015674528,0.00004000539,0.0000012401396,0.000004125957,0.0000019144345,0.00004763373,0.8124567,0.005161162,0.18023586,0.0018699853,0.000045689856],"about_ca_topic_score_codex":0.00003053755,"about_ca_topic_score_gemma":0.00000793768,"teacher_disagreement_score":0.711506,"about_ca_system_score_codex":0.00004547536,"about_ca_system_score_gemma":0.000047661717,"threshold_uncertainty_score":0.15662776},"labels":[],"label_agreement":null},{"id":"W2266449486","doi":"","title":"Scale-up of Reactive Flow Through Network Flow Modeling","year":2008,"lang":"en","type":"dissertation","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Graduate students; Scale (ratio); Mathematics; Mathematics education; Sociology; Geography; Computer science; Cartography; Pedagogy","score_opus":0.057141446320068824,"score_gpt":0.2910261138669458,"score_spread":0.233884667546877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266449486","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":[0.4356388,0.00047691443,0.13286117,0.00005150844,0.0042090924,0.0025157107,0.0013207081,0.0006513677,0.42227474],"genre_scores_gemma":[0.7985367,0.000033872668,0.004350654,0.0000061679666,0.00015831803,0.0000015815194,0.00078974024,0.000045831333,0.1960771],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954717,0.00009927718,0.0014196542,0.0009055586,0.0017368397,0.0003669767],"domain_scores_gemma":[0.99518955,0.00033927444,0.0018233135,0.0011231592,0.0012886673,0.00023602443],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031623367,0.0004107094,0.0010835105,0.00030938716,0.00041764136,0.00014420875,0.0011441852,0.0004022722,0.000058386446],"category_scores_gemma":[0.00008188998,0.00039393472,0.00066498807,0.00093409396,0.00014634451,0.0009493978,0.00011869978,0.0002937036,0.00006726168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033768695,0.0006094024,0.009890243,0.0009711527,0.0010936647,0.00043135232,0.057954475,0.32414714,0.0008441225,0.00060465815,0.49084985,0.10922707],"study_design_scores_gemma":[0.005507913,0.0015295204,0.0035403576,0.005635358,0.0011887001,0.0005340348,0.283763,0.33072725,0.011864227,0.01718749,0.33332333,0.005198831],"about_ca_topic_score_codex":0.00090315094,"about_ca_topic_score_gemma":0.00014389833,"teacher_disagreement_score":0.36289796,"about_ca_system_score_codex":0.0002256111,"about_ca_system_score_gemma":0.00091891806,"threshold_uncertainty_score":0.9998512},"labels":[],"label_agreement":null},{"id":"W2270219784","doi":"10.71781/9696","title":"A dynamic sequential route choice model for micro-simulation","year":2012,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.024730063805531992,"score_gpt":0.28346121653742135,"score_spread":0.25873115273188935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270219784","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":[0.5069871,0.0015471065,0.16004139,0.005187761,0.002081272,0.0046914,0.009113197,0.00014879243,0.310202],"genre_scores_gemma":[0.90408593,0.000022658549,0.0056649153,0.00031337215,0.000060452963,0.00006312605,0.00033029725,0.00003354623,0.08942567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963034,0.00004224213,0.00067814195,0.00041622514,0.0022782683,0.000281771],"domain_scores_gemma":[0.99774057,0.00108697,0.00057975884,0.00038025595,0.0000052771634,0.00020718975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041472187,0.0002463032,0.00035210178,0.00006821718,0.00026717255,0.00007317751,0.00045927372,0.000091164504,0.00005610525],"category_scores_gemma":[0.00002786644,0.00022914725,0.000085259366,0.00013936662,0.000031173,0.00046666723,0.000064592874,0.00013855577,7.751266e-9],"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":[0.003324605,0.000310597,0.021499902,0.0010012786,0.00050703844,0.000008782263,0.0017166964,0.21545237,0.16700035,0.29453388,0.011516531,0.28312796],"study_design_scores_gemma":[0.00030265405,0.000021766731,0.023558646,0.00006356352,0.0000613304,6.0770054e-7,0.0007906395,0.9064375,0.014348283,0.01808342,0.035962235,0.00036934184],"about_ca_topic_score_codex":0.0010362357,"about_ca_topic_score_gemma":0.054771617,"teacher_disagreement_score":0.69098514,"about_ca_system_score_codex":0.000015176087,"about_ca_system_score_gemma":0.0016250832,"threshold_uncertainty_score":0.9624763},"labels":[],"label_agreement":null},{"id":"W2271357535","doi":"10.4108/eai.24-8-2015.2261152","title":"Using Finite Forkable DEVS for Decision-Making Based on Time Measured with Uncertainty","year":2015,"lang":"en","type":"preprint","venue":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"Agence Nationale de la Recherche","keywords":"DEVS; Computer science; Discrete event simulation; Sequence (biology); Event (particle physics); Algorithm; Line (geometry); Real-time computing; Theoretical computer science; Data mining; Simulation; Mathematics; Modeling and simulation; Physics","score_opus":0.25832270870548957,"score_gpt":0.39472437598757887,"score_spread":0.1364016672820893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271357535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010397101,0.00014512122,0.9914956,0.00013981252,0.0018460983,0.0039672074,0.00046258903,0.0001854435,0.0007183902],"genre_scores_gemma":[0.9935125,0.000019874296,0.0039037275,0.0001220773,0.00082561973,0.00076134835,0.00007157371,0.00008455584,0.00069871993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99451274,0.00039653928,0.0016701744,0.0012972474,0.0015848674,0.00053841237],"domain_scores_gemma":[0.98877674,0.007583222,0.0009485289,0.0012830214,0.0010860228,0.0003224681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036655585,0.0006350261,0.0010541558,0.00079474907,0.00071959675,0.0009878695,0.00072605774,0.0010243758,0.0002125942],"category_scores_gemma":[0.00077210914,0.00047344505,0.00038445587,0.00096852035,0.00012676949,0.0001410734,0.000029735555,0.0011597661,0.000025013978],"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":[0.0011052605,0.00012234473,0.000025892872,0.000009466354,0.00007678673,0.0000014766904,0.000044362198,0.93929,0.0000017457224,0.00012451025,0.0030301013,0.056168072],"study_design_scores_gemma":[0.0009469352,0.00044833787,0.0000018924119,0.0016917705,0.00013842648,0.000004731752,0.00021024991,0.96570003,0.000048922473,0.0018579268,0.02844406,0.0005067126],"about_ca_topic_score_codex":0.0002139132,"about_ca_topic_score_gemma":0.000042771113,"teacher_disagreement_score":0.99247277,"about_ca_system_score_codex":0.00041522982,"about_ca_system_score_gemma":0.0005388051,"threshold_uncertainty_score":0.9997717},"labels":[],"label_agreement":null},{"id":"W2279450762","doi":"10.1109/ds-rt.2015.33","title":"Enhancing Load Balancing Efficiency Based on Migration Delay for Large-Scale Distributed Simulations","year":2015,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Computer science; Load balancing (electrical power); Distributed computing; High-level architecture; Scheme (mathematics); Load management; Architecture; Scale (ratio); Real-time computing; Engineering; Operating system","score_opus":0.07028931409101875,"score_gpt":0.38934008479891236,"score_spread":0.3190507707078936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279450762","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":[0.065501645,0.000006903088,0.93003243,0.0013786138,0.00009870733,0.0006094544,0.00021716375,0.00021187712,0.0019431914],"genre_scores_gemma":[0.9721536,1.9416713e-7,0.026205465,0.0005379756,0.00007175124,0.00008285621,0.0001564543,0.000011612456,0.00078007655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975841,0.00006322991,0.0006214133,0.00045327828,0.0010149598,0.00026299898],"domain_scores_gemma":[0.9961454,0.0017486623,0.0001842687,0.000589968,0.001164904,0.00016679188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020774954,0.00013468793,0.00018386185,0.00017615684,0.0003265042,0.00019647897,0.00032158388,0.000090890004,0.00020209675],"category_scores_gemma":[0.0028429772,0.000103225255,0.00011256228,0.00097349694,0.000020722786,0.00020695501,0.000033812557,0.00007301663,0.00011771314],"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":[0.00010024939,0.0005891432,0.0115238195,0.0000055729497,0.000006481452,5.9069083e-7,0.0008657258,0.9246228,0.0042328634,0.015284609,0.03844129,0.0043268744],"study_design_scores_gemma":[0.00058427604,0.000093106915,0.0007214215,0.000008159506,0.0000072228277,3.2576236e-7,0.00033878532,0.9305606,0.008876923,0.0077310014,0.050939973,0.0001382318],"about_ca_topic_score_codex":0.000031567222,"about_ca_topic_score_gemma":0.0005054063,"teacher_disagreement_score":0.906652,"about_ca_system_score_codex":0.00016455176,"about_ca_system_score_gemma":0.00021428837,"threshold_uncertainty_score":0.42094037},"labels":[],"label_agreement":null},{"id":"W2280700298","doi":"10.5555/2348196.2348205","title":"Conservative synchronization methods for parallel DEVS and Cell-DEVS","year":2011,"lang":"en","type":"article","venue":"","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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Synchronization (alternating current); Deadlock; Discrete event simulation; Distributed computing; Parallel computing; Protocol (science); Event (particle physics); Theoretical computer science; Modeling and simulation; Computer network; Simulation","score_opus":0.3235920979733878,"score_gpt":0.5038829770488312,"score_spread":0.18029087907544344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280700298","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":[0.0029688145,0.000043287673,0.96794075,0.0002992814,0.000026858226,0.00046638958,0.0000057664647,0.00008107823,0.028167794],"genre_scores_gemma":[0.3302721,0.000008082717,0.6651696,0.0003667356,0.000010672836,0.00009469106,0.0000037302457,0.000005401635,0.004069011],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990746,0.0000771749,0.00033087173,0.0002694652,0.0001434514,0.00010444335],"domain_scores_gemma":[0.9978258,0.0013252741,0.00013050764,0.0002640385,0.000393888,0.000060479328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011325832,0.00007552418,0.00012647582,0.00008272023,0.00014866868,0.00006787777,0.00020248671,0.00005857759,0.00063720404],"category_scores_gemma":[0.00056430453,0.000054020173,0.000037792175,0.00031102216,0.000069658214,0.00018557317,0.00005109737,0.00003151407,0.00003243356],"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":[0.000050980238,0.00012085184,0.010538281,0.000009130648,0.000014947157,2.0604108e-7,0.0024839134,0.00006685071,0.0011606574,0.4282775,0.030432152,0.52684456],"study_design_scores_gemma":[0.0006454427,0.00013439514,0.015187414,0.000004450887,0.000019642515,0.0000022732474,0.0012844638,0.1559463,0.028324813,0.65938526,0.13879247,0.00027307184],"about_ca_topic_score_codex":0.000047092493,"about_ca_topic_score_gemma":0.0000105809095,"teacher_disagreement_score":0.52657145,"about_ca_system_score_codex":0.000010516179,"about_ca_system_score_gemma":0.000032281212,"threshold_uncertainty_score":0.6976937},"labels":[],"label_agreement":null},{"id":"W2281952363","doi":"10.22260/isarc2013/0040","title":"A Simplified Online Solution for Simulation-Based Optimization of Earthmoving Operations","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","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":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Industrial engineering; Engineering drawing; Manufacturing engineering; Engineering","score_opus":0.10103557522350386,"score_gpt":0.3836315057800138,"score_spread":0.28259593055650994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281952363","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":[0.28445843,0.000010254002,0.71026266,0.0029918111,0.000050569608,0.0015204838,0.000058679707,0.00005969573,0.00058743794],"genre_scores_gemma":[0.90257144,8.572043e-7,0.09683924,0.00011807008,0.000039089617,0.00010548239,0.000009681082,0.000010647454,0.00030549837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846256,0.00000967203,0.00067673984,0.00022890887,0.0004961996,0.00012589546],"domain_scores_gemma":[0.99616253,0.00079541665,0.00038717198,0.00021496182,0.0024011885,0.00003871362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005780341,0.000092589755,0.00017894339,0.0001649443,0.00022012884,0.00009729901,0.00049507566,0.00006824224,0.00015780226],"category_scores_gemma":[0.0027741382,0.00006416828,0.00013989022,0.00071930507,0.00009038102,0.00037714484,0.000072468196,0.00005568687,0.000004881549],"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":[0.000010265361,0.00009132854,0.0022966038,0.000013543697,0.0000050490335,9.0893504e-10,0.000120403136,0.96701944,0.020124888,0.0050112894,0.0007093553,0.0045978455],"study_design_scores_gemma":[0.00024042405,0.000035975983,0.003345155,0.000022220975,0.000012524954,9.4646005e-8,0.0001609215,0.972254,0.012904509,0.010525441,0.00042978226,0.00006895349],"about_ca_topic_score_codex":0.00005259238,"about_ca_topic_score_gemma":0.000004874018,"teacher_disagreement_score":0.61811304,"about_ca_system_score_codex":0.00002260108,"about_ca_system_score_gemma":0.000050840234,"threshold_uncertainty_score":0.3321103},"labels":[],"label_agreement":null},{"id":"W228247187","doi":"10.21236/ada382147","title":"FEDspresso - CAFDE Based HLA Federation Development and Implementation Tool Suite","year":2000,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suite; Computer science; Russian federation; Software engineering; Geography; Regional science; Archaeology","score_opus":0.20457198191928613,"score_gpt":0.4992908612936254,"score_spread":0.29471887937433927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W228247187","genre_codex":"other","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":[0.14015347,0.00056136836,0.32016575,0.0031568955,0.0007732352,0.0068060495,0.00042182012,0.0011720123,0.52678937],"genre_scores_gemma":[0.80242133,0.00031607482,0.06009258,0.0013496542,0.0004733858,0.0011131437,0.0022362906,0.00009296119,0.13190456],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99534,0.0000808343,0.0013217052,0.00073933194,0.0022929632,0.00022516696],"domain_scores_gemma":[0.9976095,0.00049676,0.00047846988,0.0005684935,0.0007522015,0.00009459712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023890643,0.0002626724,0.00035097037,0.000392948,0.0005101039,0.00095060264,0.0002934564,0.00023596035,0.0066954093],"category_scores_gemma":[0.00023156413,0.00020852585,0.0000893796,0.00038011456,0.000036784517,0.00023692627,0.00007344792,0.00014842408,0.00015243186],"study_design_candidate":"not_applicable","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":[0.000008871084,0.00004065799,0.003732055,0.00001529435,0.000018486762,0.0000017511354,0.0001503804,0.000098725504,0.000060249997,0.0006470813,0.14866713,0.84655935],"study_design_scores_gemma":[0.00021534464,0.000018363855,0.018000819,0.000017107137,0.000017219447,0.000005194112,0.00009277001,0.0011735937,0.0035611854,0.0014608421,0.9751408,0.0002967244],"about_ca_topic_score_codex":0.00042366932,"about_ca_topic_score_gemma":0.00066437083,"teacher_disagreement_score":0.8462626,"about_ca_system_score_codex":0.00024042459,"about_ca_system_score_gemma":0.0012142798,"threshold_uncertainty_score":0.9942126},"labels":[],"label_agreement":null},{"id":"W22865002","doi":"10.1007/3-540-28554-7_16","title":"A Model-Driven Technique for Development of Embedded Systems Based on the DEVS Formalism","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Correctness; Computer science; Reuse; Reusability; Software deployment; Reliability engineering; Discrete event simulation; Flexibility (engineering); Distributed computing; Systems engineering; Software engineering; Embedded system; Modeling and simulation; Software; Engineering; Simulation; Programming language","score_opus":0.22596011086755252,"score_gpt":0.39762792073875813,"score_spread":0.1716678098712056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W22865002","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000051897327,0.000008323326,0.67724276,0.00027709367,0.000019883611,0.0022068194,0.00007622328,0.000069133486,0.3200946],"genre_scores_gemma":[0.119323716,0.000004746301,0.33752638,0.00072959403,0.000090904585,0.0026203932,0.00006594828,0.000066528395,0.53957176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99713343,0.000021271362,0.0012143038,0.00042162862,0.0010417221,0.00016763466],"domain_scores_gemma":[0.9961806,0.0013674141,0.00066934223,0.0010164947,0.00070453173,0.00006164822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019751887,0.000261673,0.00041135072,0.00033470357,0.00021009939,0.00008673989,0.00092989,0.0003175524,0.00041165334],"category_scores_gemma":[0.0001292175,0.00014900547,0.00023864303,0.00009101393,0.0000660208,0.0000648602,0.00008249831,0.00015451781,0.000056474477],"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":[0.00001688135,0.000020932199,5.346078e-7,0.000011675837,0.000012413812,7.001912e-8,0.00009081611,0.024092585,0.00015952914,0.95306695,0.014299267,0.008228339],"study_design_scores_gemma":[0.00010362668,0.000026114725,6.005858e-7,0.000088590255,0.000010640976,5.6639567e-7,0.000022422564,0.541109,0.0032640365,0.040880542,0.4143081,0.00018573165],"about_ca_topic_score_codex":0.000002230614,"about_ca_topic_score_gemma":0.000010038784,"teacher_disagreement_score":0.91218644,"about_ca_system_score_codex":0.000089355446,"about_ca_system_score_gemma":0.00030878073,"threshold_uncertainty_score":0.6076267},"labels":[],"label_agreement":null},{"id":"W2287709116","doi":"10.2139/ssrn.2311740","title":"Automatic Numeraire Corrections for Generic Hybrid Simulation","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Surrey Memorial Hospital","funders":"","keywords":"Numéraire; Statistical physics; Econometrics; Computer science; Mathematics; Mathematical economics; Physics","score_opus":0.05564576336793064,"score_gpt":0.3802989314697041,"score_spread":0.32465316810177347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287709116","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":[0.26167232,0.00017994124,0.73593754,0.0011165945,0.0001750913,0.00046150954,0.0000038465773,0.000106119696,0.00034700704],"genre_scores_gemma":[0.9920248,0.000052639793,0.002949214,0.0001782944,0.00024807604,0.00014441201,0.0000059638865,0.00001930907,0.0043773055],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99760765,0.00007392289,0.00060394633,0.00025334075,0.00049623,0.00096493453],"domain_scores_gemma":[0.9979099,0.0007379043,0.00032365357,0.000321331,0.00061280665,0.000094372466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018293571,0.00012260253,0.00017365263,0.00022692113,0.0005915597,0.00031765547,0.00042299158,0.000049741644,0.00080795184],"category_scores_gemma":[0.00060076715,0.00009520281,0.00018757621,0.00044824573,0.000032109197,0.00046438893,0.000026582311,0.00044639187,0.00047354083],"study_design_candidate":"design_other","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":[0.0000051066113,0.00007491495,0.0011483305,0.0000013681561,0.000030386556,1.11085676e-7,0.00006637757,0.024796782,0.00053052,0.031684093,0.0059432867,0.9357187],"study_design_scores_gemma":[0.00018005952,0.00008004454,0.00080092816,0.000002648482,0.000010682282,0.000033211494,0.0003225256,0.43976086,0.00014468275,0.54891956,0.0096502965,0.000094507406],"about_ca_topic_score_codex":0.000028251085,"about_ca_topic_score_gemma":0.000030048635,"teacher_disagreement_score":0.93562424,"about_ca_system_score_codex":0.00037021041,"about_ca_system_score_gemma":0.00058877416,"threshold_uncertainty_score":0.8846506},"labels":[],"label_agreement":null},{"id":"W2291053253","doi":"10.5555/2888619.2888978","title":"Modeling the communications in an emergency plan with P-DEVS","year":2015,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Plan (archaeology); DEVS; Work (physics); Test (biology); Test plan; Computer science; Risk analysis (engineering); Computer security; Simulation; Engineering; Modeling and simulation; Business; Political science","score_opus":0.5465238979094708,"score_gpt":0.4940216525104357,"score_spread":0.05250224539903503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291053253","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":[0.334343,0.000020704354,0.65751356,0.0023200118,0.00005360944,0.0003324182,0.000007605128,0.0000826295,0.005326473],"genre_scores_gemma":[0.9969733,0.0000035217336,0.0024440489,0.0001551138,0.000033036387,0.00005519962,0.000020661244,0.000009403371,0.00030572352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981719,0.00020853078,0.00058099563,0.00031316135,0.0005793289,0.00014604055],"domain_scores_gemma":[0.99695235,0.0003041931,0.00013339471,0.0015795456,0.0009277276,0.00010275928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011175497,0.00011384993,0.00014460398,0.00015851433,0.00015507934,0.00020623856,0.0013420798,0.000052920896,0.0002282977],"category_scores_gemma":[0.00029847817,0.00007020033,0.000031694693,0.0006482316,0.0000779058,0.00057913514,0.00015648316,0.00016627848,0.00009355116],"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":[0.000019887812,0.000057742523,0.03093205,4.316043e-7,0.000002639105,2.6279073e-7,0.0028267638,0.94242847,0.000018801888,0.014782813,0.00014304262,0.00878709],"study_design_scores_gemma":[0.00020424166,0.000038211783,0.004677577,0.0000086267155,0.0000033322551,8.484976e-7,0.0016191715,0.9617908,0.000010530557,0.028128017,0.0034137813,0.0001048661],"about_ca_topic_score_codex":0.00009998476,"about_ca_topic_score_gemma":0.001030997,"teacher_disagreement_score":0.6626303,"about_ca_system_score_codex":0.00003359853,"about_ca_system_score_gemma":0.00009506939,"threshold_uncertainty_score":0.28626862},"labels":[],"label_agreement":null},{"id":"W2291449300","doi":"10.5555/2888619.2888900","title":"Battlefield simulations for canadian army indirect fire modernization options analysis","year":2015,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision 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":"Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Modern warfare; Computer science; Ammunition; Adversary; Battlefield; Operations research; Navy; Engineering; Aeronautics; Simulation; Computer security","score_opus":0.2904670544900908,"score_gpt":0.4362911656252379,"score_spread":0.1458241111351471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291449300","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":[0.038273983,0.000020160043,0.9542789,0.0021733446,0.00017544672,0.0007194819,0.00033911207,0.0001596912,0.0038599123],"genre_scores_gemma":[0.989621,0.0000014255467,0.0063887094,0.0004296539,0.00010822561,0.00008900254,0.00041862618,0.000017971834,0.0029254074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99752164,0.0001238851,0.00078573945,0.0006022546,0.0006677886,0.00029869948],"domain_scores_gemma":[0.99461746,0.0013978421,0.00027672,0.0007853274,0.00250264,0.00042000544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00085543207,0.00019635897,0.00033378106,0.0009564507,0.00039079838,0.00050501444,0.0005545171,0.00017481548,0.001204644],"category_scores_gemma":[0.0022297136,0.00018327465,0.00021392992,0.0021967648,0.00006158958,0.00058026204,0.00005560958,0.00011797593,0.00015011962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000118755215,0.000028840415,0.012856979,0.0000010322008,0.000056421315,1.9536492e-7,0.0006436297,0.9687669,0.000014056653,0.006731809,0.0019537155,0.00893453],"study_design_scores_gemma":[0.0002832574,0.000032796648,0.0062202816,0.0000052805335,0.00010907068,3.3594503e-7,0.00019822079,0.92534316,0.0000848004,0.03527194,0.032244913,0.000205968],"about_ca_topic_score_codex":0.0020725897,"about_ca_topic_score_gemma":0.021657582,"teacher_disagreement_score":0.951347,"about_ca_system_score_codex":0.0001597407,"about_ca_system_score_gemma":0.0003944721,"threshold_uncertainty_score":0.9997084},"labels":[],"label_agreement":null},{"id":"W2291781296","doi":"10.5555/2888619.2888626","title":"Devs modelling and simulation for development of embedded systems","year":2015,"lang":"en","type":"article","venue":"Winter Simulation Conference","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Software deployment; Flexibility (engineering); Discrete event simulation; Distributed computing; Process (computing); Software engineering; Formalism (music); Embedded system; Systems engineering; Modeling and simulation; Simulation; Operating system; Engineering","score_opus":0.47293326540372843,"score_gpt":0.4691857639270362,"score_spread":0.0037475014766922277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291781296","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":[0.122547634,0.000028376631,0.8760423,0.000046429683,0.00009207156,0.0005876087,0.000010479804,0.00005194471,0.0005931732],"genre_scores_gemma":[0.9573424,4.20542e-7,0.042009618,0.000023625107,0.000038117814,0.000056076835,0.000016061507,0.000009489462,0.000504227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802196,0.00006719659,0.00090024836,0.00033760603,0.0005448582,0.00012813002],"domain_scores_gemma":[0.99600387,0.0013997406,0.00037151633,0.00032332665,0.0017928043,0.000108737615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00150566,0.00012029863,0.00023425014,0.00019470236,0.000100273086,0.0001694706,0.00023127916,0.000081169375,0.000025616548],"category_scores_gemma":[0.0006792312,0.000102048616,0.000043510838,0.00024071889,0.000044614033,0.0003165699,0.00006357221,0.00004535496,0.000014838758],"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":[0.000044593726,0.000016292637,0.00039956396,0.000006733276,0.000005763466,2.9643926e-8,0.0017810072,0.9753697,0.000052973854,0.0043679397,0.000039866798,0.017915515],"study_design_scores_gemma":[0.00054494425,0.000027791182,0.00016604479,0.00002569828,0.000006537499,2.508651e-7,0.00052311894,0.97393274,0.00047388067,0.0114597455,0.012723567,0.000115696166],"about_ca_topic_score_codex":0.000005614869,"about_ca_topic_score_gemma":0.0000034386333,"teacher_disagreement_score":0.83479476,"about_ca_system_score_codex":0.000034170745,"about_ca_system_score_gemma":0.00012714961,"threshold_uncertainty_score":0.4161422},"labels":[],"label_agreement":null},{"id":"W2293605526","doi":"10.5555/1999416.1999438","title":"SCHNAPS: a generic population-based simulator for public health purposes","year":2010,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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 Laval","funders":"","keywords":"USable; Computer science; Health care; Work (physics); Software; Population; Architecture; Simulation; Software engineering; Object (grammar); Engineering; Medicine; Programming language; Artificial intelligence; Multimedia","score_opus":0.3416355441840565,"score_gpt":0.45383142931116,"score_spread":0.11219588512710349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293605526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08326908,0.000017127673,0.90940607,0.0049115377,0.00062530005,0.0012276573,0.000079268124,0.00035874706,0.000105194886],"genre_scores_gemma":[0.89087677,8.666216e-7,0.10585012,0.0023433573,0.00038422,0.00014875179,0.00020011341,0.000030144574,0.00016564765],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962299,0.0001734932,0.0012049801,0.00091226946,0.0009844706,0.0004948875],"domain_scores_gemma":[0.9933107,0.0027901162,0.0006531356,0.0011996857,0.0016882005,0.00035815075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017554784,0.0002943969,0.0004473401,0.00054843765,0.00060324563,0.00090299174,0.0009473012,0.00017914824,0.0005931745],"category_scores_gemma":[0.0008925069,0.0002598025,0.00022869017,0.0010807659,0.000085457636,0.000572797,0.00011292565,0.000246211,0.00010720454],"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":[0.000021082973,0.00021462396,0.055346765,0.000015449323,0.000018559782,3.0170798e-7,0.00018739728,0.43611094,0.00016918608,0.06400069,0.0023553225,0.44155967],"study_design_scores_gemma":[0.0005009146,0.0000730367,0.030575972,0.000007539287,0.000004224584,4.5406884e-7,0.000013019985,0.8452584,0.00006346584,0.015039019,0.10820774,0.00025619092],"about_ca_topic_score_codex":0.000080703496,"about_ca_topic_score_gemma":0.00013428579,"teacher_disagreement_score":0.8076077,"about_ca_system_score_codex":0.00006129034,"about_ca_system_score_gemma":0.0005025151,"threshold_uncertainty_score":0.9999854},"labels":[],"label_agreement":null},{"id":"W2294417810","doi":"10.5555/1999416.1999453","title":"An activity-object world view for ABCmod conceptual models","year":2010,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Ottawa","funders":"","keywords":"Computer science; Conceptual model; Java; Object (grammar); Perspective (graphical); Naturalness; Object-oriented programming; Key (lock); Software engineering; Human–computer interaction; Artificial intelligence; Programming language","score_opus":0.2995710184352933,"score_gpt":0.46280962819717125,"score_spread":0.16323860976187793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294417810","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":[0.093116395,0.0000068945274,0.90347755,0.00046502188,0.00043929895,0.00080005906,0.000049714105,0.00023980936,0.0014052533],"genre_scores_gemma":[0.94370514,0.0000011508432,0.05468433,0.00055381976,0.00037424098,0.00011108576,0.00003467497,0.000021744658,0.00051383505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739146,0.00013783594,0.00064734375,0.0008140846,0.00070788775,0.00030137136],"domain_scores_gemma":[0.99504185,0.0020419676,0.0003192132,0.0011276499,0.0012692553,0.0002000422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010583355,0.00023836087,0.00036405216,0.00033736124,0.00032791874,0.0005683824,0.00085627876,0.00013286805,0.0006162648],"category_scores_gemma":[0.00012747795,0.0002069231,0.0001603196,0.00068957143,0.00017290992,0.0011927058,0.00010334254,0.00026633582,0.00008878645],"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":[0.00004268493,0.0001697459,0.001030838,0.000004138745,0.0000126302975,3.4907148e-7,0.00057948026,0.29695213,0.0015984332,0.23802829,0.0012766782,0.46030462],"study_design_scores_gemma":[0.00036846794,0.000066503075,0.0021359583,0.0000069145735,0.000008117164,4.847641e-7,0.00002284251,0.8591329,0.00076745596,0.09367,0.0435828,0.00023758214],"about_ca_topic_score_codex":0.000028984588,"about_ca_topic_score_gemma":0.00018521184,"teacher_disagreement_score":0.85058874,"about_ca_system_score_codex":0.000019083327,"about_ca_system_score_gemma":0.00012985166,"threshold_uncertainty_score":0.8438079},"labels":[],"label_agreement":null},{"id":"W2295011979","doi":"10.5555/1999416.1999460","title":"Conservative vs. optimistic parallel simulation of DEVS and Cell-DEVS: a comparative study","year":2010,"lang":"en","type":"article","venue":"","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":"DEVS; Computer science; Computation; Discrete event simulation; Synchronization (alternating current); Parallel computing; Distributed computing; Protocol (science); Modeling and simulation; Simulation; Algorithm; Computer network","score_opus":0.19541445600126456,"score_gpt":0.4691853634645349,"score_spread":0.2737709074632703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295011979","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":[0.8492593,0.0000051653697,0.13981548,0.00018098124,0.000027451615,0.0007446051,0.000011378061,0.000051082152,0.009904559],"genre_scores_gemma":[0.9778681,7.681513e-7,0.020758295,0.00008636979,0.000012749849,0.000041219675,0.0000031255834,0.000004509304,0.0012248625],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845135,0.000081489496,0.00057569187,0.00031765347,0.00047451246,0.000099316654],"domain_scores_gemma":[0.9959956,0.0026035898,0.00027443827,0.00040544634,0.0006470189,0.00007394763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007478385,0.000110708104,0.0002700726,0.00012593411,0.00013254193,0.000084979176,0.00025985794,0.000055779085,0.0005137414],"category_scores_gemma":[0.0004291462,0.0000796376,0.000037287693,0.0004508268,0.00016099733,0.00017664344,0.00008095397,0.00013340788,0.00003979225],"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":[0.0006400675,0.0040946794,0.4261812,0.000023197783,0.00013292162,0.000004812928,0.041490443,0.38198847,0.011432901,0.10622109,0.0140827745,0.013707445],"study_design_scores_gemma":[0.0011713837,0.0003494151,0.15487188,0.0000040427426,0.000026741482,0.0000010353301,0.009040499,0.8026944,0.0027182521,0.0251598,0.0037222123,0.00024037118],"about_ca_topic_score_codex":0.000092374656,"about_ca_topic_score_gemma":0.00013034318,"teacher_disagreement_score":0.4207059,"about_ca_system_score_codex":0.0000058932333,"about_ca_system_score_gemma":0.00004318329,"threshold_uncertainty_score":0.5625108},"labels":[],"label_agreement":null},{"id":"W2295070894","doi":"10.1145/945511.945512","title":"Guest introduction","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Université de Montréal","funders":"","keywords":"Computer science","score_opus":0.11340201678110604,"score_gpt":0.37828863456396594,"score_spread":0.26488661778285993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295070894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036551856,0.000016431137,0.96169597,0.0007768713,0.0004283696,0.00016549997,0.0000029129385,0.0001521178,0.00020996554],"genre_scores_gemma":[0.95762295,0.000010227634,0.04163676,0.00017801014,0.0002879779,0.000016735577,0.000004309062,0.000010915504,0.00023212744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846965,0.00011059788,0.0004176785,0.00046756884,0.00040475876,0.00012972615],"domain_scores_gemma":[0.9984697,0.00044610968,0.000072831695,0.000687065,0.00025267692,0.00007160783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006626808,0.00012293749,0.00013761548,0.00025684448,0.00038135957,0.00018794111,0.00019109774,0.00008058893,0.000094803494],"category_scores_gemma":[0.00011962043,0.00010799675,0.000068667294,0.00044695928,0.000024867495,0.0002808521,0.000005380047,0.00013797986,0.000062050865],"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":[0.0000065642616,0.00004030555,0.00002654747,7.1189004e-7,0.000004112925,7.907893e-8,0.00007924967,0.90558404,0.000014161433,0.0026478993,0.00006991453,0.09152641],"study_design_scores_gemma":[0.00019117599,0.000049171704,0.000048066664,0.0000036972122,0.000008831031,0.0000033028698,0.000033663706,0.9287566,0.00017333381,0.061164256,0.009456037,0.0001118633],"about_ca_topic_score_codex":0.000007018271,"about_ca_topic_score_gemma":0.0000021879557,"teacher_disagreement_score":0.92107105,"about_ca_system_score_codex":0.000023567158,"about_ca_system_score_gemma":0.000015071456,"threshold_uncertainty_score":0.44039795},"labels":[],"label_agreement":null},{"id":"W2301123520","doi":"10.1142/s1793962316410026","title":"Modeling and simulation as a service architecture for deploying resources in the Cloud","year":2016,"lang":"en","type":"article","venue":"Advances in Complex Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":15,"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":"Cloud computing; Computer science; Scalability; Distributed computing; Service (business); Architecture; Software deployment; Middleware (distributed applications); Service-oriented modeling; Resource (disambiguation); Cloud testing; Variety (cybernetics); Service-oriented architecture; Utility computing; Web service; Cloud computing security; Applications architecture; Software engineering; World Wide Web; Computer network; Database; Operating system; Software architecture; Software; Artificial intelligence","score_opus":0.14758953003637715,"score_gpt":0.4384607875570197,"score_spread":0.2908712575206426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301123520","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":[0.38018155,0.00082951854,0.6162721,0.0013107236,0.000059707367,0.00081657787,0.000011769199,0.000041574305,0.00047652124],"genre_scores_gemma":[0.99748695,0.000022395261,0.0018872892,0.00025870078,0.00010812538,0.00019317695,0.0000015342165,0.000008570046,0.0000332505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845666,0.00016321072,0.00051991263,0.00032303284,0.00038148268,0.0001556853],"domain_scores_gemma":[0.99561876,0.003747777,0.00012489801,0.00035316372,0.00013042145,0.000024989407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015037569,0.000093129944,0.00017401084,0.00016197735,0.00013293786,0.00012472816,0.00042089642,0.00004286866,0.000005650527],"category_scores_gemma":[0.00052500726,0.000048494898,0.000027542927,0.0005282135,0.000030036239,0.0002552264,0.000047846755,0.000057351353,0.0000061162978],"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":[0.000026125246,0.000010579337,0.0023349149,0.000013649952,9.435464e-7,2.811689e-7,0.0013513061,0.9523486,0.00020230886,0.009096897,0.000016414182,0.034598008],"study_design_scores_gemma":[0.0002875292,0.000018306753,0.0004798917,0.00006867758,0.0000013762575,0.0000036853774,0.0013069722,0.7950049,0.000005235459,0.10671049,0.096036136,0.00007677924],"about_ca_topic_score_codex":0.0001438744,"about_ca_topic_score_gemma":0.00049879204,"teacher_disagreement_score":0.6173054,"about_ca_system_score_codex":0.000024354224,"about_ca_system_score_gemma":0.000008782348,"threshold_uncertainty_score":0.19775645},"labels":[],"label_agreement":null},{"id":"W2301878338","doi":"10.14288/1.0051276","title":"Model-based active learning in hierarchical policies","year":2008,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Active learning (machine learning); Artificial intelligence","score_opus":0.05714362291302971,"score_gpt":0.28516709391155004,"score_spread":0.22802347099852033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301878338","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":[0.9597637,0.000008641291,0.036293443,0.00029240098,0.000009945753,0.00013205508,0.00003438747,0.00007012098,0.0033952717],"genre_scores_gemma":[0.9958032,0.000013710596,0.0024430656,0.00006404078,0.000007539487,7.636259e-7,0.0000055493642,0.0000053245435,0.0016568006],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988497,0.00007661647,0.00016279107,0.00030468786,0.0004535417,0.00015269533],"domain_scores_gemma":[0.99909514,0.00026964917,0.000113219445,0.00023888436,0.00020646254,0.00007662688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029495868,0.000027490792,0.00018681498,0.00013219309,0.00029949864,0.00004962945,0.0004173563,0.000078159756,0.00012091168],"category_scores_gemma":[0.00019264298,0.0000870439,0.000095267984,0.00073856284,0.0003274943,0.00022751091,0.00008982157,0.00017568887,0.000023233813],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000208007,0.00021233,0.10673533,0.000004400244,0.0000060663956,0.000049404203,0.0009833244,0.023494015,0.00032171575,0.00005688058,0.0038235418,0.8642922],"study_design_scores_gemma":[0.00038373488,0.000025770785,0.8892316,0.000014485591,0.0000022470604,0.000007717526,0.00060362346,0.104016095,0.0000035159526,0.005054097,0.0005714331,0.000085638545],"about_ca_topic_score_codex":0.024624929,"about_ca_topic_score_gemma":0.047675196,"teacher_disagreement_score":0.86420655,"about_ca_system_score_codex":0.000049536142,"about_ca_system_score_gemma":0.000129515,"threshold_uncertainty_score":0.9818702},"labels":[],"label_agreement":null},{"id":"W2319866779","doi":"10.2514/6.2000-4593","title":"Real-time simulation, control and HIL with COTS computing clusters","year":2000,"lang":"en","type":"article","venue":"Modeling and Simulation Technologies Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Computer science; Control (management); Distributed computing; Artificial intelligence","score_opus":0.06663677276048062,"score_gpt":0.3486673994505149,"score_spread":0.28203062669003426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319866779","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":[0.5273408,0.000043682383,0.470203,0.0006761564,0.0000062113395,0.000276819,0.000007772055,0.0007115055,0.00073401415],"genre_scores_gemma":[0.9916841,0.000071912924,0.0076255007,0.00006601274,0.0000128863585,0.000013113441,0.0000072863772,0.00001434209,0.0005048666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979901,0.00006683337,0.0005943901,0.0006272617,0.000480421,0.0002410416],"domain_scores_gemma":[0.99752086,0.0012296984,0.00017249938,0.00052285683,0.00049166434,0.000062388746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062895095,0.00021206577,0.00032848367,0.00030489854,0.00045877838,0.00036159047,0.00030714564,0.00019054885,0.00009908213],"category_scores_gemma":[0.00035730746,0.00016203981,0.000032354954,0.00057567615,0.00023109987,0.00032198016,0.000077079836,0.00016455592,0.000026755675],"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":[0.000034459597,0.000010138021,0.0011669296,0.000002118624,0.0000054720936,4.3254178e-7,0.00014170849,0.79376096,0.00008457619,0.0012260745,0.000008032738,0.20355913],"study_design_scores_gemma":[0.00059506623,0.000066440654,0.0005084795,0.000030250047,0.000013219083,0.0000024186245,0.00034397023,0.975583,0.000027702088,0.022005642,0.0006095685,0.00021420678],"about_ca_topic_score_codex":0.00003100953,"about_ca_topic_score_gemma":0.000003622891,"teacher_disagreement_score":0.46434325,"about_ca_system_score_codex":0.000021479353,"about_ca_system_score_gemma":0.000033559136,"threshold_uncertainty_score":0.6607792},"labels":[],"label_agreement":null},{"id":"W232366232","doi":"10.1093/oxfordhb/9780199734610.013.0064","title":"Managing the Unexpected","year":2011,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":688,"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":"Crew; Checklist; Exploratory research; Computer science; Operations research; Risk analysis (engineering); Simulation; Psychology; Engineering; Aeronautics; Cognitive psychology; Business; Sociology","score_opus":0.11936801667619011,"score_gpt":0.30929731973563984,"score_spread":0.18992930305944972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W232366232","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000015711305,0.000028044438,0.012028932,0.00009452536,0.000084977284,0.00043297219,0.000047488364,0.00020495051,0.9870624],"genre_scores_gemma":[0.00077331706,0.000046144974,0.00039670544,0.00010054958,0.00007267551,0.0000025244185,0.000014204163,0.000019366385,0.9985745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998336,0.00009545378,0.00027164424,0.00047786965,0.0006287779,0.00019024016],"domain_scores_gemma":[0.9975405,0.00046054984,0.00036061555,0.0012782388,0.00027889706,0.000081210936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039353038,0.0001997352,0.00024448315,0.00022324777,0.00044133305,0.00013435246,0.002040994,0.00021814929,0.00020522303],"category_scores_gemma":[0.00003845893,0.00014677006,0.00021373248,0.00006174776,0.00022336289,0.00008864423,0.0005782326,0.0003401992,0.000012704799],"study_design_candidate":"not_applicable","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":[0.000017240041,0.000006674141,0.0000037700095,0.0000027075855,0.000028498906,0.000008909112,0.00029020276,0.000012454171,0.0000031103373,0.83682376,0.12875448,0.03404817],"study_design_scores_gemma":[0.000100282996,0.000011568399,0.00002239138,0.000015680365,0.000045044915,0.0000017673176,0.00010424818,0.00029374327,0.0000506103,0.07059718,0.9285933,0.00016423025],"about_ca_topic_score_codex":0.000045418954,"about_ca_topic_score_gemma":0.000014050472,"teacher_disagreement_score":0.7998388,"about_ca_system_score_codex":0.0001027462,"about_ca_system_score_gemma":0.00012309475,"threshold_uncertainty_score":0.5985109},"labels":[],"label_agreement":null},{"id":"W2326300933","doi":"10.1061/40754(183)134","title":"A Framework for Integrating Fuzzy Expert Systems and Discrete Event Simulation","year":2005,"lang":"en","type":"article","venue":"","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":"University of Alberta","funders":"","keywords":"Discrete event simulation; Computer science; Fuzzy logic; Event (particle physics); Discrete event dynamic system; Fuzzy set; Process (computing); Duration (music); Set (abstract data type); Fuzzy control system; Discrete time and continuous time; Data mining; Control engineering; Artificial intelligence; Discrete system; Simulation; Algorithm; Engineering; Mathematics","score_opus":0.14005405572212362,"score_gpt":0.4874919310650575,"score_spread":0.3474378753429339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326300933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012499765,0.0001461036,0.9825635,0.0018939222,0.000054890712,0.0005470146,0.000007063772,0.00010554261,0.00218218],"genre_scores_gemma":[0.8619008,0.0000045597926,0.13634922,0.00027341893,0.00018786914,0.0001422526,0.0000029509274,0.000006953558,0.0011319439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877656,0.000033391698,0.00045811644,0.0002831307,0.0003322508,0.00011655834],"domain_scores_gemma":[0.99709815,0.0022111845,0.00013386126,0.00030294276,0.000190869,0.00006301942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007780311,0.00008281566,0.00013423015,0.00008588427,0.00017929243,0.00026922944,0.0001653261,0.00007369188,0.00007854587],"category_scores_gemma":[0.0010729438,0.00005448841,0.000056357,0.00022572071,0.000024696139,0.00022539597,0.00004033848,0.000055060882,0.00002342148],"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":[0.000012037311,0.000024100262,0.000669294,0.0000026653083,0.000005182917,4.275208e-8,0.0007507415,0.05714966,0.00022184839,0.71621406,0.002689379,0.22226101],"study_design_scores_gemma":[0.00008843711,0.000022989914,0.00022458317,0.000017290633,0.0000020958107,4.7340868e-7,0.0008721241,0.788683,0.00020750747,0.113997206,0.09580135,0.000082961706],"about_ca_topic_score_codex":0.000022562404,"about_ca_topic_score_gemma":0.000008260501,"teacher_disagreement_score":0.84940106,"about_ca_system_score_codex":0.000025039468,"about_ca_system_score_gemma":0.000010791281,"threshold_uncertainty_score":0.25961858},"labels":[],"label_agreement":null},{"id":"W2326485132","doi":"10.2514/6.2002-3453","title":"Stochastic, Hierarchical, Adaptive, Real-time Control (SHARC) of Automa-Teams for Tactical Military Operations","year":2002,"lang":"en","type":"article","venue":"1st UAV Conference","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":"Alpha Technologies (Canada)","funders":"","keywords":"Command and control; Computer science; Control (management); Adaptive control; Operations research; Artificial intelligence; Engineering; Telecommunications","score_opus":0.12267112779038723,"score_gpt":0.3775313620040896,"score_spread":0.25486023421370235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326485132","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":[0.051108953,0.00005645522,0.93810326,0.0029599122,0.00006424567,0.0012401376,0.00056397764,0.00018000673,0.0057230466],"genre_scores_gemma":[0.9722447,0.000016444194,0.025087833,0.00017038827,0.00006446069,0.00026298553,0.000017123071,0.000013437164,0.002122652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976408,0.00012742622,0.0007916328,0.0005155637,0.0006549723,0.0002696228],"domain_scores_gemma":[0.9959365,0.0021549438,0.000085129825,0.00071141537,0.00093345,0.00017857131],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006598223,0.00016703753,0.0003909615,0.00017116273,0.00025543425,0.0000834129,0.00065937126,0.00011929797,0.0042138826],"category_scores_gemma":[0.0016516199,0.00013578689,0.00015244437,0.00039884617,0.00031163378,0.00025240643,0.00007137416,0.0001466187,0.00032346355],"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":[0.00032365462,0.0013436619,0.000249929,0.000017762724,0.000108881526,0.000003461338,0.0017553826,0.030349191,0.036572345,0.78367424,0.04821984,0.097381674],"study_design_scores_gemma":[0.0006651111,0.00025600303,0.0011111713,0.000016789962,0.000023143635,0.000002953546,0.000114749564,0.976455,0.00045642498,0.018112874,0.0026147894,0.00017099871],"about_ca_topic_score_codex":0.00014192381,"about_ca_topic_score_gemma":0.0000384612,"teacher_disagreement_score":0.9461058,"about_ca_system_score_codex":0.00003295289,"about_ca_system_score_gemma":0.00011085488,"threshold_uncertainty_score":0.9966964},"labels":[],"label_agreement":null},{"id":"W2326840989","doi":"10.3182/20050703-6-cz-1902.01480","title":"A HYBRID SIMULATION/PHYSICAL ENVIRONMENT FOR BENCHMARKING REAL-TIME DISTRIBUTED CONTROL SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmarking; Java; Control (management); Real-time simulation; Computer science; Real-time Control System; Control system; Distributed computing; Control engineering; Embedded system; Engineering; Operating system; Artificial intelligence","score_opus":0.03512599670431799,"score_gpt":0.33959091226264176,"score_spread":0.3044649155583238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326840989","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":[0.58835936,0.000051074287,0.40680394,0.0010772541,0.000061658924,0.0016926038,0.00042768283,0.00037286448,0.0011535621],"genre_scores_gemma":[0.9916377,0.0000049418754,0.0058933175,0.0000632984,0.0006740668,0.00041746834,0.00004527694,0.000023205217,0.0012406943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997577,0.000015178203,0.00065933476,0.00059893564,0.0008202904,0.00032922823],"domain_scores_gemma":[0.99787134,0.0009545136,0.000385448,0.0002559503,0.00038973225,0.00014299915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008560035,0.00020076906,0.00036770158,0.00012657834,0.0003449593,0.00043827732,0.00044127036,0.00006915559,0.00015608036],"category_scores_gemma":[0.00040014807,0.00017015646,0.00018064083,0.00021016378,0.0000784664,0.00046653431,0.00006613371,0.000085556596,0.00033405522],"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":[0.00019892528,0.0007279938,0.011428327,0.00004240847,0.00010522676,9.852962e-7,0.00089480245,0.69423515,0.031743873,0.024620632,0.07270138,0.16330029],"study_design_scores_gemma":[0.00041900334,0.00006635015,0.0013294903,0.00001058879,0.000024858657,0.0000018361458,0.000058819453,0.82984173,0.00093558396,0.0039914614,0.1631379,0.00018235866],"about_ca_topic_score_codex":0.000012780568,"about_ca_topic_score_gemma":1.8948361e-7,"teacher_disagreement_score":0.40327838,"about_ca_system_score_codex":0.00013710017,"about_ca_system_score_gemma":0.000024494648,"threshold_uncertainty_score":0.69387794},"labels":[],"label_agreement":null},{"id":"W2327415880","doi":"10.2514/6.2012-2597","title":"Prototype Unmanned System Training Simulator","year":2012,"lang":"en","type":"article","venue":"Infotech@Aerospace 2012","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":"Lockheed Martin (Canada)","funders":"","keywords":"Scalability; Certification; Computer science; Simulation; Systems engineering; Training system; Training (meteorology); Embedded system; Software engineering; Engineering; Operating system","score_opus":0.19669424577832556,"score_gpt":0.4204674175160964,"score_spread":0.22377317173777084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327415880","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":[0.5368273,0.00074398826,0.39508823,0.0028830606,0.0015011895,0.0049327137,0.00008205738,0.003045143,0.054896288],"genre_scores_gemma":[0.9895204,0.000002068059,0.0061860373,0.0002247773,0.00037497768,0.0002573357,0.0000050996814,0.00003315949,0.0033961828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971164,0.00011501723,0.0007035312,0.0003724916,0.0010721522,0.000620426],"domain_scores_gemma":[0.9972473,0.00062669284,0.0003591819,0.0011019042,0.00031305265,0.000351914],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027800042,0.00023406741,0.00034882684,0.00024344356,0.00031863526,0.00022305603,0.00071879115,0.00023948234,0.00058751437],"category_scores_gemma":[0.0006667742,0.0001839067,0.00015757894,0.001063578,0.00009157239,0.0011470852,0.00015304399,0.00024230422,0.002876072],"study_design_candidate":"not_applicable","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":[0.00021762698,0.00058243546,0.083995394,0.00010048867,0.00012446115,0.000006344447,0.011669854,0.007722309,0.009449717,0.5782104,0.10042049,0.20750044],"study_design_scores_gemma":[0.000665574,0.0001286656,0.020841014,0.00006885983,0.000030060903,0.000024982377,0.003313991,0.012897302,0.005839301,0.0037628291,0.9517231,0.0007043273],"about_ca_topic_score_codex":0.000024964076,"about_ca_topic_score_gemma":0.0000054985735,"teacher_disagreement_score":0.8513026,"about_ca_system_score_codex":0.00010470388,"about_ca_system_score_gemma":0.000061909275,"threshold_uncertainty_score":0.9979003},"labels":[],"label_agreement":null},{"id":"W2329899580","doi":"10.1097/00003246-200412001-00237","title":"UNIVERSITY OF OTTAWA SIMULATOR STUDY I: WITHDRAWN","year":2004,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Simulation Techniques and Applications","field":"Decision 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":"University of Ottawa","funders":"","keywords":"Medicine; Simulation; Aeronautics; Engineering","score_opus":0.08238453285889473,"score_gpt":0.4336675370500572,"score_spread":0.35128300419116243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329899580","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":[0.8048466,0.00031938308,0.16396716,0.010543582,0.00019047495,0.0006552603,0.000022896631,0.00015811158,0.019296514],"genre_scores_gemma":[0.99875146,7.4724454e-7,0.0008884953,0.00014757708,0.000061017145,9.589315e-7,0.0000021958444,0.0000045657603,0.00014296811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9984924,0.000053351647,0.00030404326,0.0002642055,0.0007753974,0.0001105958],"domain_scores_gemma":[0.9977096,0.00082131044,0.00004653382,0.00047329595,0.0008190582,0.00013025668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005001573,0.00007153536,0.00022590952,0.00011271349,0.00012802033,0.000010777213,0.00036408173,0.000042445503,0.0008207542],"category_scores_gemma":[0.0023728912,0.00005291453,0.000044489323,0.000554641,0.0004516508,0.000072943,0.00006204083,0.00008545897,0.000053989283],"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":[0.00010440969,0.0013758335,0.18305986,0.00006970381,0.00003285947,0.00014009762,0.027564095,0.003515463,0.001183648,0.7212149,0.009038836,0.052700285],"study_design_scores_gemma":[0.008176072,0.004547508,0.21234535,0.0001820871,0.0002908845,0.000013054063,0.3834062,0.0012273075,0.0022931339,0.25842538,0.12846586,0.0006271432],"about_ca_topic_score_codex":0.00017561973,"about_ca_topic_score_gemma":0.0000642679,"teacher_disagreement_score":0.4627895,"about_ca_system_score_codex":0.000036282603,"about_ca_system_score_gemma":0.000053707176,"threshold_uncertainty_score":0.8986683},"labels":[],"label_agreement":null},{"id":"W2334478598","doi":"10.2514/6.2004-5043","title":"Enabling Inter-Vehicle Communication Modeling in MultiUAV Using the HLA","year":2004,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada)","funders":"Air Force Research Laboratory","keywords":"Computer science","score_opus":0.25277071297922143,"score_gpt":0.4027166992726831,"score_spread":0.14994598629346167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334478598","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":[0.53773576,0.00032230525,0.46004018,0.0014955148,0.000009028584,0.00017552913,0.000001513216,0.00016873854,0.00005144166],"genre_scores_gemma":[0.99143183,0.00039854308,0.008000052,0.00010573761,0.000009143021,0.000025523286,0.0000040651544,0.00001056973,0.000014562129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998249,0.00006684856,0.0006961343,0.00045133324,0.00031601393,0.00022066782],"domain_scores_gemma":[0.9983775,0.00043054513,0.00015602501,0.0006830006,0.00032030683,0.000032624954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011813046,0.00016506991,0.00023439889,0.00033491835,0.00050909806,0.0003746255,0.00047057166,0.00019461391,0.000005734912],"category_scores_gemma":[0.00076023466,0.000119076685,0.000042148564,0.00057424325,0.00016600206,0.00050045154,0.0003399725,0.00031812524,0.0000033035647],"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":[0.000007768422,0.0000150173855,0.0007443479,0.0000023229447,0.0000022385227,2.4635668e-7,0.0007390717,0.92906034,0.00059368537,0.0069483076,6.696465e-7,0.061886005],"study_design_scores_gemma":[0.0002841511,0.000013400052,0.000019878964,0.0000663914,0.000005308021,0.00000164765,0.0066892337,0.7894737,0.00037475454,0.202906,0.000044687662,0.00012084901],"about_ca_topic_score_codex":0.0004247563,"about_ca_topic_score_gemma":0.00009747175,"teacher_disagreement_score":0.45369607,"about_ca_system_score_codex":0.00004663803,"about_ca_system_score_gemma":0.00004338046,"threshold_uncertainty_score":0.48558062},"labels":[],"label_agreement":null},{"id":"W2341145856","doi":"10.5555/2500004.2500011","title":"Solutions for scalability in building information modeling and simulation-based design","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Autodesk (Canada); Carleton University","funders":"","keywords":"Scalability; Interoperability; Computer science; DEVS; Building information modeling; Distributed computing; Interface (matter); High-level architecture; Data modeling; Modelica; Discrete event simulation; Visualization; Software engineering; Modeling and simulation; Computer architecture; Systems engineering; Simulation; Database; Data mining; Engineering; Operating system","score_opus":0.22127710727766872,"score_gpt":0.42475012755851843,"score_spread":0.2034730202808497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341145856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08805738,0.000004429619,0.9097297,0.0009433369,0.000012028205,0.000993826,0.000003891347,0.000066440865,0.00018896864],"genre_scores_gemma":[0.8340874,3.267285e-7,0.16542944,0.00019918196,0.000006846936,0.00025230565,0.0000035180458,0.00000244748,0.000018569755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886435,0.000044562923,0.00052866957,0.00016789047,0.00024076247,0.00015374781],"domain_scores_gemma":[0.99613845,0.0030292713,0.00007762355,0.00023750392,0.00046669165,0.00005042812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017922155,0.00006338412,0.00009803212,0.00024300383,0.0002027173,0.00024359919,0.00013427225,0.000055204753,0.00013169236],"category_scores_gemma":[0.0021395695,0.000050497045,0.0000332097,0.00042382002,0.000026854179,0.0010181778,0.000032172713,0.000040426767,0.000027233957],"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":[0.0000029353305,0.000010788582,0.00085187424,0.000001334731,3.7952793e-7,1.5671923e-9,0.000039616305,0.968126,0.000072907365,0.0056918995,0.00009208741,0.02511016],"study_design_scores_gemma":[0.0001689844,0.000009710263,0.0016509676,0.00000270702,0.0000010853819,3.030766e-8,0.00008795541,0.8340108,0.00009330285,0.16363938,0.0002803926,0.000054717133],"about_ca_topic_score_codex":0.00012512806,"about_ca_topic_score_gemma":0.000007910833,"teacher_disagreement_score":0.74603,"about_ca_system_score_codex":0.00003548906,"about_ca_system_score_gemma":0.000038996383,"threshold_uncertainty_score":0.2561419},"labels":[],"label_agreement":null},{"id":"W2342196991","doi":"10.1007/978-3-319-27517-8_12","title":"Stochastic Decision-Making in Waste Management Using a Firefly Algorithm-Driven Simulation-Optimization Approach for Generating Alternatives","year":2016,"lang":"en","type":"book-chapter","venue":"Springer proceedings in mathematics & statistics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Mathematical optimization; Firefly algorithm; Set (abstract data type); Computer science; Stochastic optimization; Mathematics","score_opus":0.0888516586359621,"score_gpt":0.393937703598699,"score_spread":0.3050860449627369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342196991","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":[0.00011212296,0.000045216497,0.9829325,0.000010710239,0.000106713356,0.002416961,0.00030674334,0.000075490454,0.013993524],"genre_scores_gemma":[0.010372504,0.000032672906,0.98217726,0.00002746707,0.00020369964,0.00023362854,0.000024024006,0.00014509841,0.00678367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947939,0.00001264325,0.0022454485,0.0010587609,0.0014397126,0.0004495545],"domain_scores_gemma":[0.9940846,0.0028132333,0.0016109003,0.0004512276,0.0009515388,0.00008847984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016819144,0.0005523041,0.000821158,0.0012906377,0.00023607467,0.00045782462,0.0008355739,0.0002988614,0.0000884915],"category_scores_gemma":[0.001385119,0.00048304224,0.00013713303,0.00029251314,0.00011461751,0.00031859396,0.00036911204,0.00030652533,0.000009633699],"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":[0.000011834441,0.0000678176,0.000012807142,0.0001528297,0.00002952223,0.0000030395584,0.0008159913,0.78012216,0.000008407561,0.15432723,0.0000393048,0.06440906],"study_design_scores_gemma":[0.00031136093,0.00001977301,0.000002563866,0.00087414606,0.000039579194,0.0000017292441,0.00021666466,0.65187734,0.0000031169516,0.34618932,0.00012050091,0.00034387922],"about_ca_topic_score_codex":0.0000015797539,"about_ca_topic_score_gemma":0.000003004202,"teacher_disagreement_score":0.19186209,"about_ca_system_score_codex":0.00044831002,"about_ca_system_score_gemma":0.00006693859,"threshold_uncertainty_score":0.9997621},"labels":[],"label_agreement":null},{"id":"W2352252490","doi":"10.1016/j.evalprogplan.2016.05.002","title":"Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach","year":2016,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Program evaluation; Management science; Computer science; Engineering; Data science; Political science; Public administration","score_opus":0.4316788458018273,"score_gpt":0.5556526633586825,"score_spread":0.12397381755685516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352252490","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":[0.9593332,0.00015565963,0.03628007,0.00009828604,0.00002853411,0.0031010113,0.000019246918,0.00022584763,0.000758183],"genre_scores_gemma":[0.9303894,0.0000016344492,0.06852753,0.000018081355,0.000041489864,0.0009313295,0.000037334074,0.00001143397,0.000041737603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967243,0.00069011695,0.00071189087,0.0005949887,0.0011246462,0.00015405368],"domain_scores_gemma":[0.99746484,0.0006085153,0.0004644948,0.00081129355,0.00056497194,0.000085867345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072191036,0.00014789503,0.0002537986,0.00022317514,0.00028778947,0.00026288736,0.00045067607,0.0000668029,0.00004359183],"category_scores_gemma":[0.0008119295,0.000090184214,0.00003581962,0.00057730544,0.00013495744,0.00053606543,0.000311291,0.00007605873,0.0000035735675],"study_design_candidate":"design_other","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":[0.000021543354,0.00041437318,0.015071,0.000006206354,0.000026750035,0.0000062403133,0.0043795784,0.00025689602,0.000036625395,0.0005478282,0.00007824548,0.9791547],"study_design_scores_gemma":[0.003517918,0.002739745,0.009828938,0.00014513377,0.00024150696,0.00031942144,0.09029282,0.8437152,0.00022570534,0.043676704,0.0046894024,0.0006075011],"about_ca_topic_score_codex":0.00008122951,"about_ca_topic_score_gemma":0.000028807333,"teacher_disagreement_score":0.9785472,"about_ca_system_score_codex":0.000023207513,"about_ca_system_score_gemma":0.00008939591,"threshold_uncertainty_score":0.36776057},"labels":[],"label_agreement":null},{"id":"W2366915482","doi":"","title":"Load Balancing for Optimistic Parallel Simulation on Multi-core Platform","year":2012,"lang":"en","type":"article","venue":"Jisuanji fangzhen","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Load balancing (electrical power); Parallel computing; Distributed computing; Scheme (mathematics); Virtual machine; Schedule; Operating system","score_opus":0.3890021434582084,"score_gpt":0.4978862019056272,"score_spread":0.10888405844741883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366915482","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":[0.11718556,0.00007165808,0.8769996,0.00026298343,0.00025884566,0.0010838638,0.00005508492,0.0002470716,0.003835284],"genre_scores_gemma":[0.95441985,0.0000019782217,0.042278416,0.00042710963,0.00028190087,0.00015608965,0.00003126893,0.000022169088,0.0023812342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795246,0.000019284931,0.00053868245,0.00035384553,0.00076138286,0.0003743172],"domain_scores_gemma":[0.99685603,0.0018368755,0.00023808893,0.00057397503,0.0003236648,0.0001713473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013310855,0.00016754387,0.00022879014,0.00013968695,0.00027690374,0.00011611952,0.0003503055,0.00012940692,0.00028889722],"category_scores_gemma":[0.0015348977,0.00012963485,0.00015552678,0.00035443378,0.000035275498,0.00036137406,0.000059254227,0.000102881764,0.00050831796],"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":[0.00042644853,0.0013079336,0.07186932,0.00003499756,0.00008282074,0.0000015928614,0.0038393242,0.4740293,0.0018907995,0.12129117,0.03841402,0.28681228],"study_design_scores_gemma":[0.00091785635,0.00008936031,0.03673633,0.00001741038,0.000023342893,0.0000012868335,0.00021904589,0.77957666,0.00037254186,0.017273497,0.16445686,0.00031584257],"about_ca_topic_score_codex":0.000019329558,"about_ca_topic_score_gemma":0.000006890618,"teacher_disagreement_score":0.83723426,"about_ca_system_score_codex":0.00013898102,"about_ca_system_score_gemma":0.000038648912,"threshold_uncertainty_score":0.65335685},"labels":[],"label_agreement":null},{"id":"W2372655691","doi":"","title":"Simulation Based Performance Analysis in CPN Tools","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Petri net; Usability; Simple (philosophy); Stochastic Petri net; Distributed computing; Human–computer interaction","score_opus":0.12572438935864566,"score_gpt":0.38904882561701315,"score_spread":0.2633244362583675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372655691","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":[0.16584273,0.00001732579,0.8321831,0.00029685834,0.0000044729077,0.0006226839,0.000017622364,0.00012582979,0.0008893807],"genre_scores_gemma":[0.8872111,0.0000047796652,0.11145339,0.0004262097,0.000053041575,0.0004573103,0.000066220215,0.000009567559,0.00031837355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791026,0.00006121067,0.0007570545,0.00057643047,0.00048284334,0.0002121885],"domain_scores_gemma":[0.99710125,0.0015132676,0.0001895226,0.0008069142,0.0003087567,0.000080307356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055666215,0.00014365434,0.0002724653,0.0009327337,0.00031149606,0.00012515156,0.00068614056,0.00008593549,0.00021978245],"category_scores_gemma":[0.00001860705,0.00013169079,0.00017902587,0.0050999513,0.00007695883,0.0003122816,0.00007904945,0.00012480166,0.00040241145],"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":[0.0000035741607,0.00011725065,0.06133764,0.0000016322952,0.000012339117,4.0531336e-7,0.00010418111,0.8326654,0.00025593294,0.0005175072,0.00035883315,0.10462533],"study_design_scores_gemma":[0.00016704403,0.000007957735,0.17924231,0.000001955306,0.000015965585,6.6160726e-7,0.000007082862,0.6522517,0.0005955649,0.00077038124,0.16681029,0.0001290695],"about_ca_topic_score_codex":0.000016922317,"about_ca_topic_score_gemma":0.000015546744,"teacher_disagreement_score":0.7213684,"about_ca_system_score_codex":0.00007029052,"about_ca_system_score_gemma":0.000058701185,"threshold_uncertainty_score":0.53701943},"labels":[],"label_agreement":null},{"id":"W2384636886","doi":"10.1145/2834119","title":"A System-Level Modeling and Design for Cyber-Physical-Social Systems","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Cyber-physical system; Petri net; Field (mathematics); Distributed computing; Cyberspace; Design flow; Systems design; Representation (politics); Human–computer interaction; The Internet; Software engineering; Embedded system","score_opus":0.2108819225337883,"score_gpt":0.3964250591397408,"score_spread":0.1855431366059525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2384636886","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":[0.034688618,0.00004891893,0.9620119,0.0003310112,0.00055770116,0.0015853248,0.0001234132,0.00047545743,0.0001776921],"genre_scores_gemma":[0.98751336,0.0000022905554,0.010984654,0.00002232714,0.0003550287,0.00036865182,0.0000018122583,0.000042235304,0.00070965866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99667907,0.00035151,0.0009805913,0.0007950104,0.0008072005,0.00038662256],"domain_scores_gemma":[0.99370533,0.0042952895,0.00035472936,0.00091099605,0.0005929374,0.00014072948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021145788,0.000274026,0.00056588714,0.0003316854,0.0010006268,0.0004547276,0.0007297604,0.00016193905,0.0000028521201],"category_scores_gemma":[0.00026826857,0.0001856104,0.00020273411,0.0005635073,0.00006675972,0.00021621004,0.000020217989,0.00012398229,0.00005484215],"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":[0.00013541005,0.00022724303,0.00002322327,0.0001488947,0.000150136,0.0000019117101,0.0028737169,0.83574283,0.0035242776,0.045379974,0.0012402227,0.11055216],"study_design_scores_gemma":[0.0007297846,0.00009915088,0.0000120290215,0.00024034404,0.000041877214,0.000023639865,0.002486665,0.992358,0.00028434355,0.0027744437,0.00067395833,0.00027575679],"about_ca_topic_score_codex":0.00007838161,"about_ca_topic_score_gemma":0.0000012410088,"teacher_disagreement_score":0.9528247,"about_ca_system_score_codex":0.00016931779,"about_ca_system_score_gemma":0.000059700804,"threshold_uncertainty_score":0.7696114},"labels":[],"label_agreement":null},{"id":"W2393907836","doi":"10.22215/etd/2006-08084","title":"Distributed optimistic simulation of DEVS and CELL-DEVS models with PCD++","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"DEVS; Computer science; Modeling and simulation; Simulation","score_opus":0.07023432703009483,"score_gpt":0.38400273729887513,"score_spread":0.31376841026878033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393907836","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":[0.08731851,0.00007893601,0.8722575,0.00002597456,0.000033591536,0.0006154367,0.00021071112,0.000105415675,0.039353944],"genre_scores_gemma":[0.97657025,0.00000840297,0.0076529295,0.000014654395,0.000021051286,0.000042632968,0.00167511,0.000023182527,0.013991802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99753416,0.00003668073,0.00084147934,0.0005096284,0.00092624,0.00015183394],"domain_scores_gemma":[0.99692357,0.0008459052,0.0006535921,0.0005272577,0.00097483204,0.000074821575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033917537,0.00023570133,0.0003958292,0.0002629574,0.00012928632,0.00014339706,0.00031658157,0.00024483365,0.00015560248],"category_scores_gemma":[0.0001240679,0.00016829582,0.000074839525,0.00067699776,0.00005484358,0.00022009126,0.00002470105,0.0001281087,0.000010767708],"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":[0.00008243209,0.000086750864,0.00016332285,0.00003602359,0.000010515156,6.743193e-7,0.00013648494,0.9835757,0.00034180074,0.005427544,0.0011216844,0.009017049],"study_design_scores_gemma":[0.00035735415,0.000067549416,0.0027885768,0.00003689055,0.0000648608,6.7094004e-7,0.00050816004,0.9502055,0.0059665088,0.038133245,0.0015622532,0.00030841373],"about_ca_topic_score_codex":0.00016759177,"about_ca_topic_score_gemma":0.00019553433,"teacher_disagreement_score":0.8892517,"about_ca_system_score_codex":0.000027340784,"about_ca_system_score_gemma":0.000083256215,"threshold_uncertainty_score":0.68629044},"labels":[],"label_agreement":null},{"id":"W2395032752","doi":"10.5555/2048476.2048500","title":"A testing framework for DEVS formalism implementations","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"DEVS; Computer science; Implementation; Correctness; Formalism (music); Conformance testing; Python (programming language); Discrete event simulation; Programming language; Theoretical computer science; Standardization; Distributed computing; Modeling and simulation; Simulation; Operating system","score_opus":0.6615830575265599,"score_gpt":0.5463981956392943,"score_spread":0.11518486188726562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395032752","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":[0.009301142,0.000002684658,0.9475901,0.0002925566,0.000038206712,0.0003951923,0.00001989174,0.00014049307,0.042219695],"genre_scores_gemma":[0.4842304,1.4585963e-7,0.51474077,0.00038051812,0.000024464429,0.00015389669,0.0000025149395,0.000003778309,0.0004634976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990379,0.00001182844,0.00038612806,0.00018612403,0.00023515368,0.00014281929],"domain_scores_gemma":[0.9974444,0.0017069642,0.000116190124,0.0003262127,0.00035135183,0.000054907137],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000667048,0.000055715966,0.000076487166,0.00009734864,0.00024014113,0.00007878629,0.00031571518,0.000038257123,0.0018091293],"category_scores_gemma":[0.0016679051,0.000040889237,0.000056768895,0.0005341927,0.000022337683,0.00019934111,0.00004708869,0.000036679958,0.000111153975],"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":[0.0000022433067,0.000018400096,0.006361501,4.8798574e-7,0.0000021430933,4.6352113e-8,0.00039643963,0.0000034338823,0.00007466665,0.9235447,0.0055167302,0.06407917],"study_design_scores_gemma":[0.000080642814,0.000032652184,0.014965501,0.0000020986704,0.0000041868716,0.0000010351966,0.00067975756,0.0027188498,0.002478138,0.9489422,0.030025685,0.000069295296],"about_ca_topic_score_codex":0.00005556976,"about_ca_topic_score_gemma":0.000014463584,"teacher_disagreement_score":0.47492924,"about_ca_system_score_codex":0.000008900134,"about_ca_system_score_gemma":0.00002476078,"threshold_uncertainty_score":0.99910337},"labels":[],"label_agreement":null},{"id":"W2399965197","doi":"10.5555/2048476.2048505","title":"GATLAS: Google Earth visualization for ATLAS","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Atlas (anatomy); Visualization; Computer science; Compiler; Computer graphics (images); DEVS; Programming language; Computational science; Real-time computing; Simulation; Data mining; Modeling and simulation; Geology","score_opus":0.3391912736438893,"score_gpt":0.4667670926948234,"score_spread":0.12757581905093412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399965197","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":[0.020310327,0.000005963385,0.8824152,0.00013025942,0.000051926483,0.00037554753,0.0000071851105,0.00016744382,0.09653616],"genre_scores_gemma":[0.9398256,0.0000023664893,0.039614305,0.00029680596,0.000046932437,0.00009757106,0.000009363719,0.00000848024,0.020098554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990413,0.000020891765,0.00031296216,0.00023412603,0.00028493945,0.00010577481],"domain_scores_gemma":[0.9989365,0.00029051225,0.000091308066,0.0003335245,0.00029556808,0.000052629723],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005455573,0.000057599285,0.00008717545,0.00010106785,0.00011489813,0.00006772765,0.0002633667,0.0000444443,0.0028544539],"category_scores_gemma":[0.00033348927,0.000040816332,0.000065065986,0.00040137992,0.00002712284,0.0001765928,0.000032979955,0.000018716655,0.00049368833],"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":[0.000015368865,0.00009102435,0.0047114524,0.0000012964764,0.0000040524856,9.645824e-8,0.00037976203,0.000020443242,0.0009791197,0.91379,0.042205084,0.037802286],"study_design_scores_gemma":[0.0002473738,0.00009779228,0.011939348,0.00000270059,0.000006006994,9.862924e-7,0.00020975697,0.022887582,0.0524718,0.35727507,0.5547113,0.00015026362],"about_ca_topic_score_codex":0.000030302665,"about_ca_topic_score_gemma":0.00002309895,"teacher_disagreement_score":0.9195153,"about_ca_system_score_codex":0.0000050729464,"about_ca_system_score_gemma":0.000016791428,"threshold_uncertainty_score":0.99805707},"labels":[],"label_agreement":null},{"id":"W2400860770","doi":"","title":"The Richness of Modeling and Simulation and Its Body of Knowledge.","year":2012,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Species richness; Section (typography); Body of knowledge; Computer science; Work (physics); Knowledge management; Engineering; Geology; Mechanical engineering","score_opus":0.17111890115360665,"score_gpt":0.46535546597255484,"score_spread":0.2942365648189482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400860770","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":[0.8565749,0.00074147846,0.13905783,0.00008319807,0.000017618695,0.0001213927,0.0000015580953,0.000012245568,0.0033897648],"genre_scores_gemma":[0.99905515,0.00002506539,0.00056849257,0.000005745735,0.000014195158,0.00000397774,1.823223e-7,0.0000021080984,0.00032511097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999389,0.000028200227,0.00027509703,0.00007693235,0.00017137695,0.000059401864],"domain_scores_gemma":[0.9983989,0.0010645551,0.0000883817,0.00015030874,0.00026713675,0.0000306958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000985959,0.00003391427,0.000077882294,0.000048866343,0.00008752192,0.000017568831,0.000092115195,0.000025656807,0.000020481706],"category_scores_gemma":[0.00033890244,0.000018808902,0.000015021138,0.00020791998,0.000032839904,0.00014952834,0.000058398335,0.00001973257,0.0000027970202],"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":[0.000039322727,0.00023763377,0.077149905,0.000027532866,0.000021771022,1.8207299e-8,0.002775152,0.11651132,0.010945504,0.6182785,0.00044332622,0.17356999],"study_design_scores_gemma":[0.00005141884,0.000006756629,0.006094808,0.0000025148133,0.000003436778,1.4097338e-7,0.00016737687,0.9766446,0.0026873224,0.013300797,0.0010153076,0.000025556385],"about_ca_topic_score_codex":0.0000035538258,"about_ca_topic_score_gemma":0.000001081497,"teacher_disagreement_score":0.86013323,"about_ca_system_score_codex":0.0000021077967,"about_ca_system_score_gemma":0.0000060920747,"threshold_uncertainty_score":0.07670047},"labels":[],"label_agreement":null},{"id":"W2407036068","doi":"10.5555/2665008.2665038","title":"Advanced computational fluid dynamic solver based on cell-DEVS","year":2014,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computational fluid dynamics; Solver; Computer science; Partial differential equation; Set (abstract data type); Fluid dynamics; Computational science; State (computer science); Algorithm; Mathematics; Simulation; Modeling and simulation; Mechanics; Physics; Programming language; Mathematical analysis","score_opus":0.036257847523553315,"score_gpt":0.38399996214611753,"score_spread":0.3477421146225642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407036068","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":[0.022954538,0.0000019410518,0.8960815,0.0013932707,0.00005022656,0.00016287559,0.0000070506703,0.00015657727,0.079192],"genre_scores_gemma":[0.93362117,2.8056334e-7,0.05989766,0.0021967713,0.000014930118,0.000021937476,0.00001916263,0.0000072118723,0.0042208526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998478,0.000048683636,0.00032220705,0.00031800848,0.0007162752,0.00011682561],"domain_scores_gemma":[0.99781334,0.0013817289,0.00009001297,0.00042907646,0.00021777405,0.00006803427],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005784044,0.00008604945,0.0001107838,0.00014506555,0.00013976707,0.00008895133,0.000328506,0.000042377935,0.0017161323],"category_scores_gemma":[0.00022271626,0.00006274577,0.0000713552,0.0003675453,0.000036493857,0.00009571019,0.000028133372,0.000055901994,0.0011419628],"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":[0.000020485215,0.00013513373,0.0005520923,0.0000013951413,0.0000013210057,1.8486878e-7,0.000027552296,0.8246148,0.001323367,0.041289147,0.020883374,0.11115111],"study_design_scores_gemma":[0.00028014922,0.000045907935,0.004130949,0.000002027841,0.000001188781,1.4738163e-7,0.000020331303,0.9015076,0.0009659545,0.04975966,0.043200206,0.00008583764],"about_ca_topic_score_codex":0.0000035540809,"about_ca_topic_score_gemma":0.0000030499714,"teacher_disagreement_score":0.91066664,"about_ca_system_score_codex":0.000023533217,"about_ca_system_score_gemma":0.00002834353,"threshold_uncertainty_score":0.99963576},"labels":[],"label_agreement":null},{"id":"W2408854593","doi":"","title":"Geometry-driven petri nets and a method for modelling mechatronic control systems","year":2006,"lang":"en","type":"dissertation","venue":"","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":"University of Victoria","funders":"","keywords":"Mechatronics; Process (computing); Control engineering; Computer science; Petri net; Rapid prototyping; Software; Interface (matter); Virtual prototyping; Control system; Engineering; Systems engineering; Simulation; Distributed computing; Mechanical engineering","score_opus":0.08708359022321108,"score_gpt":0.4339598111346161,"score_spread":0.346876220911405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408854593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024729841,0.00090121484,0.99012154,0.000120281264,0.00023282718,0.0017983401,0.00013621617,0.00014277786,0.004073837],"genre_scores_gemma":[0.6873479,0.00006145037,0.19354008,0.00012776502,0.0002667776,0.001302944,0.00076009554,0.000078663936,0.11651435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711514,0.00009324729,0.0009692131,0.0007674959,0.0007865812,0.00026832338],"domain_scores_gemma":[0.9955206,0.0025179847,0.0005836922,0.0005338553,0.0007514162,0.000092482616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016909245,0.00025999357,0.00060992665,0.00067148247,0.00025031564,0.00049794797,0.00045050617,0.0003647291,0.00007022711],"category_scores_gemma":[0.0002290928,0.00020225263,0.00021438093,0.0005925607,0.000013812524,0.00014253442,0.000018263658,0.00016362201,0.000020662075],"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":[0.000105158855,0.00007706566,0.00010502926,0.000094582276,0.00009111652,6.56905e-7,0.00016314523,0.6490523,0.0004532417,0.2622433,0.024827441,0.06278695],"study_design_scores_gemma":[0.0004293003,0.000040082028,0.00003983448,0.0000242064,0.000066059634,0.0000016366936,0.0004170169,0.90622866,0.00015106541,0.034129713,0.058248352,0.00022404097],"about_ca_topic_score_codex":0.00046584647,"about_ca_topic_score_gemma":0.0001121639,"teacher_disagreement_score":0.79658145,"about_ca_system_score_codex":0.000051350744,"about_ca_system_score_gemma":0.00008777464,"threshold_uncertainty_score":0.8247623},"labels":[],"label_agreement":null},{"id":"W2435986133","doi":"10.5555/1639809.1655373","title":"Aircraft evacuation DEVS implementation & visualization","year":2009,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Visualization; Python (programming language); Computer science; Data visualization; Graphical user interface; Simulation; Modeling and simulation; Operating system; Data mining","score_opus":0.16971495023082586,"score_gpt":0.5192394494646922,"score_spread":0.3495244992338664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2435986133","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":[0.35314357,0.000010323883,0.6447964,0.00047825492,0.000073273586,0.00046501917,0.000006090519,0.00025973126,0.00076734973],"genre_scores_gemma":[0.98996085,0.0000058936507,0.00926088,0.00040431003,0.000092905175,0.000024931407,0.000038506572,0.000012621498,0.0001991156],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970155,0.00014717733,0.00095180806,0.0005494714,0.0010811161,0.0002549387],"domain_scores_gemma":[0.99724776,0.0006581887,0.00041472298,0.00063078577,0.0009360921,0.000112457725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011621052,0.00018865192,0.00020829005,0.00039245587,0.00033789457,0.0004051555,0.00042538275,0.00010478052,0.00068971753],"category_scores_gemma":[0.0009637095,0.00017654679,0.00009189876,0.00084762403,0.00003532921,0.0008368997,0.00004439833,0.00010542848,0.00033966795],"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":[0.000023187858,0.00010402498,0.038413767,0.0000027305437,0.0000069911534,4.051942e-7,0.0006775783,0.25128862,0.015784472,0.11187131,0.000108859465,0.581718],"study_design_scores_gemma":[0.00040838888,0.000048487476,0.24236755,0.000009141243,0.000010193562,2.7298682e-7,0.00017895924,0.71794486,0.005698363,0.030128293,0.0030102981,0.00019517445],"about_ca_topic_score_codex":0.000050415405,"about_ca_topic_score_gemma":0.000025696587,"teacher_disagreement_score":0.6368173,"about_ca_system_score_codex":0.00009772153,"about_ca_system_score_gemma":0.00007686568,"threshold_uncertainty_score":0.75519234},"labels":[],"label_agreement":null},{"id":"W2460162375","doi":"10.22215/etd/2011-09780","title":"Enhanced distributed simulation interoperability and algorithms using web services","year":2011,"lang":"en","type":"dissertation","venue":"","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":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Interoperability; Computer science; Standardization; Workflow; Humanities; World Wide Web; Web service; Algorithm; Art; Database; Operating system","score_opus":0.12508029417225552,"score_gpt":0.443125884543621,"score_spread":0.3180455903713655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460162375","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":[0.87428963,0.00006799897,0.11827339,0.000017864895,0.00022950856,0.0005974324,0.00013413325,0.00019553567,0.006194528],"genre_scores_gemma":[0.9914157,0.000017167382,0.004068591,0.000049307673,0.00005799329,0.000033793407,0.0006847933,0.000022581293,0.0036500809],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973864,0.00010679191,0.00091295486,0.0007823791,0.00063277845,0.00017868828],"domain_scores_gemma":[0.99733275,0.0004704946,0.0004946557,0.00068420154,0.000912229,0.00010566856],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007617254,0.00026381848,0.00040895928,0.00023807188,0.0002287534,0.00030560588,0.0004711175,0.00031485048,0.0012648415],"category_scores_gemma":[0.00021518789,0.0002004723,0.00011126629,0.00056878704,0.000046465015,0.0003652534,0.00007619408,0.00018387988,0.0000632214],"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":[0.0006623686,0.0008952752,0.008836109,0.00049403944,0.00023450296,0.0000035267092,0.011320423,0.0144329835,0.06494905,0.008265262,0.0006716479,0.88923484],"study_design_scores_gemma":[0.00032255225,0.000055538687,0.014302967,0.00010531286,0.00006579314,0.0000010370617,0.002965183,0.93030083,0.013753996,0.032657903,0.004894197,0.00057469687],"about_ca_topic_score_codex":0.00025197447,"about_ca_topic_score_gemma":0.00039946206,"teacher_disagreement_score":0.91586787,"about_ca_system_score_codex":0.000044572484,"about_ca_system_score_gemma":0.00006515109,"threshold_uncertainty_score":0.99964815},"labels":[],"label_agreement":null},{"id":"W2467886061","doi":"10.1504/ijspm.2016.077292","title":"Real-time simulation of DEVS models in CD++","year":2016,"lang":"en","type":"article","venue":"International Journal of Simulation and Process Modelling","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"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; Formalism (music); Computer science; Discrete event simulation; Distributed computing; Overhead (engineering); Execution time; Modeling and simulation; Simulation; Programming language","score_opus":0.16087904092709499,"score_gpt":0.4527170928182959,"score_spread":0.29183805189120093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467886061","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":[0.3808211,0.000025735986,0.61819077,0.00029284976,0.00004684327,0.00007153188,0.000007023608,0.000009031577,0.0005351376],"genre_scores_gemma":[0.99556834,0.00009167903,0.0040718988,0.00002986267,0.000087263885,0.0000021143526,0.00000154166,0.000009733176,0.00013758302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99723345,0.00006396995,0.0012945475,0.00019320757,0.0011155984,0.00009924243],"domain_scores_gemma":[0.9949014,0.0016807914,0.000927817,0.00013374927,0.0022906964,0.000065533044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014675523,0.000102690356,0.0002439384,0.00066231174,0.000036457004,0.000069423804,0.00040134383,0.000079930825,0.0001098782],"category_scores_gemma":[0.00037869404,0.000069033034,0.00008204733,0.00031574958,0.000050313778,0.0011481598,0.000036105434,0.0000755173,0.0000057647553],"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":[0.00012331342,0.00003952852,0.0015698638,0.0000024660194,0.000010491348,0.0000010917549,0.00043299742,0.96866006,0.0007381072,0.0019703442,0.0000041078624,0.026447613],"study_design_scores_gemma":[0.0005195735,0.000025619567,0.00038063418,0.000091483045,0.0000049401824,0.000002699756,0.00005176266,0.81506544,0.00050567015,0.18310714,0.00017708623,0.00006797674],"about_ca_topic_score_codex":0.00000943669,"about_ca_topic_score_gemma":0.0000013813628,"teacher_disagreement_score":0.6147472,"about_ca_system_score_codex":0.000050963055,"about_ca_system_score_gemma":0.00007421369,"threshold_uncertainty_score":0.28150854},"labels":[],"label_agreement":null},{"id":"W246832097","doi":"","title":"$2.7 Trillion Up In The Air: Aircraft manufacturer’s predictions; with an infrastructure reanalysis.","year":2007,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Critical infrastructure; Environmental science; Finance; Aeronautics; Meteorology; Computer science; Engineering; Computer security; Geography","score_opus":0.036727647222902705,"score_gpt":0.32417837802322,"score_spread":0.2874507308003173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W246832097","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":[0.71049607,0.000016761196,0.28648823,0.000579863,0.000039809893,0.00023479066,0.000022303431,0.000063750595,0.0020584094],"genre_scores_gemma":[0.9947652,0.000007825733,0.0039504482,0.00019082014,0.000050425453,7.248011e-7,0.0000361777,0.000007918413,0.0009904301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977364,0.00016046522,0.00033612587,0.00043455538,0.0010958582,0.00023657622],"domain_scores_gemma":[0.9978476,0.0005068721,0.00031032274,0.0009178542,0.00031043746,0.00010690232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002243059,0.00015050631,0.0002616285,0.0006225329,0.0004990558,0.00008300949,0.0010016636,0.00014801588,0.00037470294],"category_scores_gemma":[0.000123569,0.00011108806,0.00014835532,0.0018499761,0.0002955465,0.0006350765,0.00007363927,0.00026199876,0.000029430588],"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":[0.00073110644,0.00039332118,0.20332015,0.000014933855,0.00015307617,0.00004107184,0.017661538,0.031935334,0.000032005853,0.7234681,0.016670281,0.005579066],"study_design_scores_gemma":[0.0003877928,0.00009179831,0.17837152,0.0000043745313,0.00004203977,0.000010603253,0.014247795,0.0010025527,0.000003565895,0.79929507,0.006431565,0.00011133327],"about_ca_topic_score_codex":0.00040724684,"about_ca_topic_score_gemma":0.0038536717,"teacher_disagreement_score":0.28426915,"about_ca_system_score_codex":0.00009273883,"about_ca_system_score_gemma":0.00006166694,"threshold_uncertainty_score":0.45300394},"labels":[],"label_agreement":null},{"id":"W2473035889","doi":"10.1017/s0001924000002104","title":"Converging towards synthetic environment interoperability","year":2008,"lang":"en","type":"article","venue":"The Aeronautical Journal","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":"Environment and Climate Change Canada","funders":"","keywords":"Software portability; Interoperability; Computer science; Pipeline (software); Usability; Systems engineering; Software engineering; Human–computer interaction; World Wide Web; Engineering; Operating system","score_opus":0.1913793761596646,"score_gpt":0.386410794822654,"score_spread":0.1950314186629894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473035889","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":[0.82839036,0.00009391534,0.14653093,0.0206481,0.00013968405,0.00016430326,0.0000030486044,0.00004626384,0.003983379],"genre_scores_gemma":[0.9966257,0.00005600515,0.0017748721,0.0005990844,0.00010490687,0.000006920323,2.5785485e-7,0.0000065015843,0.0008257498],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978415,0.00024604393,0.0005417461,0.00020801982,0.0009604205,0.00020226974],"domain_scores_gemma":[0.9984661,0.0006204102,0.00011392098,0.00055915053,0.00008835439,0.00015208426],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022121468,0.00009333292,0.0001579944,0.00004789723,0.0006087023,0.000110304776,0.0007949535,0.000040012,0.0038514077],"category_scores_gemma":[0.00057391287,0.00004686857,0.00013631093,0.00015254872,0.00046019652,0.000119657096,0.00017412838,0.00034203974,0.00080338784],"study_design_candidate":"design_other","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":[0.00022682197,0.00096307474,0.02351321,0.0000038366343,0.00010545466,0.000098287135,0.0049084127,0.0037673223,0.004606467,0.0751865,0.039758023,0.8468626],"study_design_scores_gemma":[0.00086910115,0.00029492876,0.23872347,0.00002568591,0.000049479328,0.0031351764,0.00096608757,0.0324088,0.0056596743,0.35189652,0.3654998,0.00047126593],"about_ca_topic_score_codex":0.000004633646,"about_ca_topic_score_gemma":2.9232078e-7,"teacher_disagreement_score":0.8463913,"about_ca_system_score_codex":0.00007664696,"about_ca_system_score_gemma":0.000050607858,"threshold_uncertainty_score":0.9999746},"labels":[],"label_agreement":null},{"id":"W2473169866","doi":"10.3233/978-1-58603-964-6-88","title":"Integrating Simulation Devices and Systems","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"NOSM University","funders":"","keywords":"Computer science","score_opus":0.2057675825529433,"score_gpt":0.519823996746944,"score_spread":0.3140564141940007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473169866","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":[0.87902075,0.019263338,0.077183366,0.0180104,0.00027673045,0.0015394271,0.000009588541,0.0005348343,0.004161554],"genre_scores_gemma":[0.99209064,0.0007823362,0.006379013,0.0006820084,0.000009906598,0.000017952787,7.516264e-7,0.0000016501618,0.000035742636],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854803,0.000031323667,0.0009838407,0.00010942168,0.00017169044,0.00015567805],"domain_scores_gemma":[0.99861634,0.0006467614,0.00034653462,0.00019754552,0.00016355923,0.000029267814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015351638,0.00008325364,0.00025996685,0.00057842606,0.00028846835,0.00004779814,0.00013290285,0.00009745075,0.0000011041723],"category_scores_gemma":[0.001315025,0.000059613198,0.000009303883,0.0009148627,0.00018057397,0.0002603865,0.00007917225,0.00015936451,0.0000031414002],"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":[0.0000053210283,0.000018940003,0.03807008,0.00011294931,0.0000074466425,3.3357017e-7,0.0064488603,0.0039380845,0.0000013554803,0.40231997,0.0005507855,0.54852587],"study_design_scores_gemma":[0.00032936406,0.00032567608,0.017338984,0.00026707293,0.000003337683,0.00001528698,0.07051557,0.61395866,0.000009561948,0.2558188,0.04123725,0.00018044276],"about_ca_topic_score_codex":0.0000053183826,"about_ca_topic_score_gemma":0.000010380062,"teacher_disagreement_score":0.6100205,"about_ca_system_score_codex":0.000033092387,"about_ca_system_score_gemma":0.000019092411,"threshold_uncertainty_score":0.24309556},"labels":[],"label_agreement":null},{"id":"W2477287077","doi":"10.4018/978-1-59140-640-2.ch006","title":"The Game of Defense and Security","year":2006,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Computer security; Scope (computer science); Engineering; Computer science; Engineering management; World Wide Web","score_opus":0.04982261065712858,"score_gpt":0.34556923873164336,"score_spread":0.2957466280745148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477287077","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00074321975,0.00039300768,0.0007176243,0.00012292161,0.000054055698,0.00028364654,0.00017973158,0.00004862148,0.99745715],"genre_scores_gemma":[0.8837976,0.000009226033,0.00018232598,0.00011702908,0.000071625574,0.000010356374,0.000001419983,0.000011159634,0.11579925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99828863,0.000020362613,0.00056818826,0.0003247684,0.00067290757,0.00012514072],"domain_scores_gemma":[0.9980954,0.0004717156,0.00038496446,0.00070232886,0.00028477592,0.000060827548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048972736,0.00016219146,0.0002588095,0.00004126215,0.0001262264,0.00012612058,0.00044095702,0.00019524521,0.000028250503],"category_scores_gemma":[0.000095268035,0.00010367717,0.00014340704,0.00002970146,0.00029166578,0.000020556721,0.00016047886,0.00012224316,0.00004609463],"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":[0.0000058359105,0.0000022679965,0.00004023676,0.0000012799871,0.0000058976702,8.5503643e-7,0.000013365293,0.0000025130948,0.0000022635475,0.97175014,0.016123442,0.012051896],"study_design_scores_gemma":[0.000049772538,0.000013075275,0.00011000318,0.000010082177,0.000010207359,0.000004652508,0.0000054477728,0.000060382194,0.000024184823,0.68540615,0.31423303,0.00007304187],"about_ca_topic_score_codex":0.000064719155,"about_ca_topic_score_gemma":0.00008730836,"teacher_disagreement_score":0.8830544,"about_ca_system_score_codex":0.000030743184,"about_ca_system_score_gemma":0.00005742017,"threshold_uncertainty_score":0.42278323},"labels":[],"label_agreement":null},{"id":"W2486803372","doi":"10.82308/48492","title":"Optimizing the time warp protocol with learning techniques","year":2010,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Reinforcement learning; Process (computing); Set (abstract data type); Black box; Artificial intelligence; Machine learning; Learning automata; Automaton","score_opus":0.039665473892884134,"score_gpt":0.338593341062662,"score_spread":0.2989278671697778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486803372","genre_codex":"other","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":[0.42647818,0.0000065176346,0.0005765386,0.0017715198,0.00020669009,0.0974534,0.00018958363,0.00437694,0.46894062],"genre_scores_gemma":[0.8906672,0.0000015191694,0.054751765,0.00070911605,0.000072140814,0.04576077,0.000008214198,0.000098840945,0.007930434],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99602973,0.00035316867,0.0008244708,0.00087587966,0.0014255323,0.00049120473],"domain_scores_gemma":[0.99587685,0.001226784,0.0005292148,0.0014264112,0.00072060316,0.0002201591],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004279161,0.00035214832,0.00035207096,0.00027815663,0.0023168284,0.0004371768,0.0016289302,0.00025962252,0.0012053598],"category_scores_gemma":[0.0018821842,0.00021166312,0.0001786826,0.0013768735,0.00024605743,0.0009107499,0.0003872559,0.001618976,0.00091818627],"study_design_candidate":"not_applicable","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":[0.00010518019,0.00018393958,0.00033940448,0.000009302104,0.00003298031,0.000010776571,0.000016172204,0.00038443183,0.23027429,0.1667772,0.00009947357,0.6017668],"study_design_scores_gemma":[0.0002842288,0.00014629083,0.00024428265,0.00002671106,0.0000142515,0.000036594767,0.000059207687,0.00080882205,0.20692427,0.04628458,0.74482065,0.0003500866],"about_ca_topic_score_codex":0.000047408583,"about_ca_topic_score_gemma":0.000051919,"teacher_disagreement_score":0.7447212,"about_ca_system_score_codex":0.00008319015,"about_ca_system_score_gemma":0.00003830205,"threshold_uncertainty_score":0.9998597},"labels":[],"label_agreement":null},{"id":"W2486810790","doi":"10.1007/978-3-319-01285-8","title":"Computational Models of Complex Systems","year":2013,"lang":"en","type":"book","venue":"Intelligent systems reference library","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","score_opus":0.3214291212687475,"score_gpt":0.3850428418948561,"score_spread":0.0636137206261086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486810790","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008833069,0.0022553047,0.19217065,0.00011521213,0.0005673664,0.0020790708,0.0010750561,0.0003464435,0.80130255],"genre_scores_gemma":[0.17741662,0.000168863,0.0010602844,0.00007539368,0.0002852284,0.00025854033,0.0012199393,0.00008133743,0.8194338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99326175,0.00028236894,0.0029584223,0.0008972939,0.0022967577,0.00030340967],"domain_scores_gemma":[0.9936491,0.001886307,0.0019019361,0.0014496637,0.0008854188,0.00022752964],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006179023,0.00047261646,0.0011989028,0.0007985616,0.00012388092,0.00074993516,0.002158845,0.00058746093,0.002135262],"category_scores_gemma":[0.00006374215,0.00036401843,0.00028078657,0.00046266467,0.00021590316,0.0010086162,0.00038822944,0.00041470898,0.0022516078],"study_design_candidate":"not_applicable","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":[0.000004160182,0.0000339397,0.000037185353,0.00011012689,0.00003969327,9.479613e-7,0.00007037628,0.14482537,0.0000036582696,0.4675863,0.38542697,0.0018612541],"study_design_scores_gemma":[0.00004645248,0.00003631948,0.0000257111,0.000364615,0.000012392083,0.000008256403,0.00011034242,0.27102524,0.000010925137,0.21516651,0.512926,0.00026728562],"about_ca_topic_score_codex":0.00011399154,"about_ca_topic_score_gemma":4.677039e-7,"teacher_disagreement_score":0.25241983,"about_ca_system_score_codex":0.00008871744,"about_ca_system_score_gemma":0.0005287976,"threshold_uncertainty_score":0.99988115},"labels":[],"label_agreement":null},{"id":"W2490622085","doi":"10.1177/0037549716658360","title":"Debugging Parallel DEVS","year":2016,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Debugging; DEVS; Computer science; Debugger; Algorithmic program debugging; Programming language; Formalism (music); Usability; Parallel computing; Modeling and simulation; Simulation; Operating system","score_opus":0.2060229295929024,"score_gpt":0.47404502002617904,"score_spread":0.2680220904332766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490622085","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":[0.06526979,0.000014562935,0.92515576,0.0018803488,0.00006341796,0.0001743408,0.0000046619325,0.00022398024,0.0072131082],"genre_scores_gemma":[0.9913155,0.0000018158448,0.00509777,0.00018594538,0.00007830608,0.000016510861,0.0000020235186,0.000007562713,0.003294601],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867696,0.000048537742,0.00036789288,0.00026368044,0.0005134286,0.00012949658],"domain_scores_gemma":[0.9976658,0.0014862029,0.00012929294,0.0004304688,0.00023201302,0.000056220546],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00066065433,0.00007002304,0.00009256379,0.00013932811,0.00013205208,0.000075795375,0.00024232532,0.000051397652,0.00093765184],"category_scores_gemma":[0.0009836348,0.00004032461,0.00005920791,0.00037788833,0.00003205578,0.00033590046,0.000042205156,0.000027112024,0.0010683404],"study_design_candidate":"design_other","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":[0.000017210054,0.000026160966,0.024414765,6.168393e-7,0.0000048673546,4.753149e-7,0.00010028847,0.082101576,0.0023900818,0.041528124,0.0031733837,0.8462424],"study_design_scores_gemma":[0.0004946951,0.000022622746,0.060388822,0.000013262098,0.000006033203,8.807103e-7,0.000028333134,0.26009482,0.0011486175,0.44690338,0.23070562,0.00019291007],"about_ca_topic_score_codex":0.0000042061806,"about_ca_topic_score_gemma":0.0000038757903,"teacher_disagreement_score":0.92604566,"about_ca_system_score_codex":0.000032603657,"about_ca_system_score_gemma":0.000020948146,"threshold_uncertainty_score":0.9999756},"labels":[],"label_agreement":null},{"id":"W2494287343","doi":"10.1090/fim/016/05","title":"Statistical analysis of simulation output","year":2001,"lang":"en","type":"book-chapter","venue":"American Mathematical Society eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Econometrics; Statistics; Mathematics","score_opus":0.10545160239502667,"score_gpt":0.40846945575939075,"score_spread":0.3030178533643641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494287343","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015298558,0.000006527371,0.52021056,0.00007077683,0.000009209152,0.0002552213,0.0001643987,0.00007303156,0.47905728],"genre_scores_gemma":[0.40083545,0.000015897134,0.05246353,0.0005633103,0.00010145122,0.00004172201,0.000107199325,0.0000825994,0.5457888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955801,0.000047621557,0.0016159882,0.00066972815,0.0018303855,0.00025617835],"domain_scores_gemma":[0.99141157,0.005446017,0.0012478,0.001163822,0.0005379543,0.00019281326],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010079769,0.0003403584,0.0014373398,0.00029499448,0.00012157071,0.00009225113,0.00062024395,0.00023822779,0.003579644],"category_scores_gemma":[0.0004949502,0.00027069173,0.0012625789,0.00040459362,0.0011312574,0.000037391237,0.00016950163,0.00030064478,0.00025964054],"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":[0.000008194352,0.0000477235,0.000070817056,0.000013242343,0.0008514633,0.0000013182197,0.00043183664,0.0030012461,0.000006871608,0.89142597,0.003539207,0.100602135],"study_design_scores_gemma":[0.000080566184,0.00006896387,0.00024328749,0.000023185816,0.0012526632,7.6378075e-7,0.00017445498,0.1379057,0.000007341688,0.7328996,0.1270216,0.0003218599],"about_ca_topic_score_codex":0.000016896169,"about_ca_topic_score_gemma":0.0000034363266,"teacher_disagreement_score":0.46774703,"about_ca_system_score_codex":0.000083697494,"about_ca_system_score_gemma":0.00007201637,"threshold_uncertainty_score":0.99997455},"labels":[],"label_agreement":null},{"id":"W2495717638","doi":"10.1017/cbo9780511804861.004","title":"Probability distributions, expectation and prevision","year":2005,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Statistical physics; Mathematics; Econometrics; Physics","score_opus":0.09999759974157019,"score_gpt":0.3077344289157076,"score_spread":0.20773682917413744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495717638","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009267086,0.00013006039,0.021175975,0.000115002156,0.000042119525,0.0008343245,0.0004536633,0.0001808262,0.97614133],"genre_scores_gemma":[0.017377263,0.000086698725,0.001344039,0.000024773974,0.000086611515,0.0000031970658,0.00009159575,0.000016041913,0.9809698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981017,0.000061840095,0.00039849736,0.0007120357,0.0005760963,0.00014982113],"domain_scores_gemma":[0.9978546,0.00036685998,0.0003645078,0.0008120647,0.00045469,0.00014731141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004205266,0.00023457887,0.00031211128,0.00018251981,0.00032268203,0.0001354487,0.00048158053,0.00028000603,0.000030818952],"category_scores_gemma":[0.00012906692,0.00023085889,0.00015269248,0.000025201898,0.00025003377,0.0001771759,0.00033757134,0.00024345341,0.000027747445],"study_design_candidate":"not_applicable","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":[0.000018825664,0.000009592542,0.00001697598,0.000007877721,0.000010421721,0.0000027280416,0.000023433075,0.0000042055294,0.000016154872,0.9447897,0.023245562,0.031854525],"study_design_scores_gemma":[0.00018823623,0.000024627401,0.0003976743,0.000039091177,0.00004997322,0.0000042941865,0.00002124278,0.00036420606,0.00016284015,0.0017657881,0.9967409,0.0002411494],"about_ca_topic_score_codex":0.000020559952,"about_ca_topic_score_gemma":0.0000015748853,"teacher_disagreement_score":0.9734953,"about_ca_system_score_codex":0.00016938623,"about_ca_system_score_gemma":0.00006420795,"threshold_uncertainty_score":0.9414152},"labels":[],"label_agreement":null},{"id":"W2498060735","doi":"10.1201/9781315583655","title":"Fundamental Issues in Defense Training and Simulation","year":2017,"lang":"en","type":"book","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Computer science; Management science; Engineering; Geography; Meteorology","score_opus":0.2843480993425645,"score_gpt":0.48918532077932625,"score_spread":0.20483722143676175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498060735","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012023209,0.00026529204,0.0037526495,0.0005118446,0.00006983345,0.00043153757,0.00002791235,0.000090643975,0.993648],"genre_scores_gemma":[0.2662844,0.00003289014,0.0015892314,0.00010858598,0.00009515904,0.000013372068,0.000021294352,0.000013300054,0.7318418],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983095,0.000031601237,0.0005099459,0.00046061532,0.0005606183,0.00012771004],"domain_scores_gemma":[0.9980281,0.0009027361,0.00030184662,0.0006048078,0.000102138016,0.00006040079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009657456,0.00015376943,0.0003178283,0.00031293498,0.0001729469,0.0004303789,0.00036877987,0.00021223736,0.0008550623],"category_scores_gemma":[0.00043753115,0.00012424128,0.00006518981,0.00006390982,0.000111636444,0.00022062,0.00012067166,0.00015828789,0.00014685695],"study_design_candidate":"not_applicable","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":[0.000019270368,0.000045872566,0.002961991,0.000011421536,0.00001660483,0.000010320422,0.0025285548,0.0038235176,0.0000124627695,0.11541559,0.09431591,0.7808385],"study_design_scores_gemma":[0.00012687949,0.000016324098,0.0010019222,0.000031038424,0.0000040418136,0.0000013293096,0.0001338252,0.019205268,0.000003582415,0.2858722,0.6934606,0.00014303952],"about_ca_topic_score_codex":0.000027888496,"about_ca_topic_score_gemma":0.00009072204,"teacher_disagreement_score":0.78069544,"about_ca_system_score_codex":0.000058852544,"about_ca_system_score_gemma":0.00009122242,"threshold_uncertainty_score":0.9362332},"labels":[],"label_agreement":null},{"id":"W2499820712","doi":"","title":"Does Current Simulation Software Provide the Right Tools For Planners","year":2000,"lang":"en","type":"article","venue":"PSIG Annual Meeting","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Current (fluid); Software; Computer science; Engineering; Programming language","score_opus":0.08550985676408333,"score_gpt":0.41560227094809676,"score_spread":0.3300924141840134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499820712","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":[0.37075612,0.00049674255,0.59650046,0.012854797,0.0012132088,0.0058880555,0.0010582507,0.0013435198,0.009888845],"genre_scores_gemma":[0.98954165,0.000007897173,0.0074124974,0.00029833405,0.0003846003,0.00023661704,0.00002768451,0.000015239863,0.0020755047],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822915,0.00009330431,0.0005267014,0.00037273453,0.0005533419,0.00022477243],"domain_scores_gemma":[0.9929131,0.0060416483,0.00018568356,0.00041314232,0.00038657954,0.000059845024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014936529,0.00011928001,0.00014418346,0.0000658919,0.00057398574,0.00042064855,0.000495066,0.000051716455,0.0003771052],"category_scores_gemma":[0.003731245,0.00005449329,0.000112189504,0.0003560847,0.000055950255,0.0005186322,0.000038709142,0.000102257574,0.00011051859],"study_design_candidate":"design_other","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":[0.000024821707,0.000026482405,0.0007455874,0.00000410579,0.000003606646,1.2506494e-7,0.00081988383,0.069138475,0.000016572794,0.000732293,0.006638135,0.9218499],"study_design_scores_gemma":[0.0001491405,0.000025673824,0.00083120586,0.00002577967,0.000009605055,3.7358225e-7,0.0004945735,0.0547051,0.00050853426,0.03043774,0.9126783,0.00013395934],"about_ca_topic_score_codex":0.000011088936,"about_ca_topic_score_gemma":0.000009023008,"teacher_disagreement_score":0.921716,"about_ca_system_score_codex":0.000024073317,"about_ca_system_score_gemma":0.000029628949,"threshold_uncertainty_score":0.44669184},"labels":[],"label_agreement":null},{"id":"W2501533922","doi":"10.1002/9781119205920.ch7","title":"Probability Distribution Functions","year":2012,"lang":"en","type":"other","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Probability distribution; Distribution (mathematics); Mathematics; Computer science; Statistical physics; Statistics; Physics; Mathematical analysis","score_opus":0.2041122365301987,"score_gpt":0.41606242133165083,"score_spread":0.21195018480145214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501533922","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000033987171,0.00005535427,0.2862516,0.00031904655,0.00015184574,0.00032764813,0.0002643661,0.0004665527,0.71216017],"genre_scores_gemma":[0.0060284752,0.0000041681665,0.0024663848,0.00005284135,0.00029347633,0.000101989026,0.00026541474,0.00006443915,0.99072284],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860793,0.00005149116,0.0003234822,0.00034053347,0.00053237047,0.00014417441],"domain_scores_gemma":[0.9984922,0.00018878428,0.00019606673,0.000919826,0.00011478717,0.000088354434],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006626592,0.00011962048,0.00017010751,0.00011032723,0.00007327516,0.00007630472,0.00032224774,0.00021032682,0.089092806],"category_scores_gemma":[0.00033689517,0.00008134503,0.00010787176,0.0005051409,0.00006532095,0.000057540754,0.00007091548,0.0000963459,0.007430473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.1277065e-7,0.000037269543,0.00058530504,0.0000010214393,0.0000028388008,1.3854004e-8,0.0000018487781,0.0000010059125,0.0000011637726,0.03390749,0.9407108,0.024750864],"study_design_scores_gemma":[0.0000289981,0.000004221587,0.00089308526,0.0000034518307,0.000007899463,4.9987307e-7,0.000009000845,0.00005064194,0.000010657723,0.02667633,0.97221774,0.000097467564],"about_ca_topic_score_codex":0.000082213824,"about_ca_topic_score_gemma":0.000052531104,"teacher_disagreement_score":0.28378522,"about_ca_system_score_codex":0.00003647198,"about_ca_system_score_gemma":0.00002770505,"threshold_uncertainty_score":0.99334234},"labels":[],"label_agreement":null},{"id":"W2504090583","doi":"10.4018/978-1-4666-4369-7.ch003","title":"The DEVS Formalism","year":2013,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","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":"Carleton University; Autodesk (Canada)","funders":"","keywords":"DEVS; Formalism (music); Computer science; Modular design; Theoretical computer science; Programming language; Distributed computing; Modeling and simulation; Simulation","score_opus":0.08327111871609995,"score_gpt":0.36646414393624144,"score_spread":0.2831930252201415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504090583","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003193734,0.0001717275,0.0025556474,0.00052034244,0.00022706627,0.0005355872,0.00007740215,0.00015408604,0.9957262],"genre_scores_gemma":[0.079876795,0.0000081554645,0.0008386627,0.0009509052,0.00024980181,0.00007975724,0.000002513219,0.000023597166,0.9179698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997524,0.000017819786,0.00071006845,0.00040983607,0.0010889834,0.0002492973],"domain_scores_gemma":[0.99729705,0.000456291,0.0004053977,0.0012545808,0.0004565192,0.00013017819],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055720453,0.0002460992,0.0002605236,0.000049967053,0.00044967595,0.0006137502,0.001301384,0.0002941308,0.00050957454],"category_scores_gemma":[0.00013095429,0.00014428789,0.00025674788,0.000035799472,0.00017585844,0.000071486844,0.0002690396,0.00020231819,0.005076863],"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":[0.0000020386983,9.740312e-7,0.0000027528238,3.799442e-7,0.000007391784,6.8762677e-7,0.0000085579095,0.0000014729864,8.4931185e-7,0.81619185,0.09735143,0.08643164],"study_design_scores_gemma":[0.00003188883,0.000008272772,0.00002081056,0.0000060938523,0.000005840465,0.000004471745,0.0000064783035,0.000061914914,0.000009346771,0.5087503,0.49100244,0.00009209961],"about_ca_topic_score_codex":0.000043484622,"about_ca_topic_score_gemma":0.00004900466,"teacher_disagreement_score":0.393651,"about_ca_system_score_codex":0.00008812266,"about_ca_system_score_gemma":0.00010784503,"threshold_uncertainty_score":0.9956978},"labels":[],"label_agreement":null},{"id":"W2505169213","doi":"10.1007/978-3-030-18869-6","title":"Modelling and Simulation","year":2019,"lang":"en","type":"book","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":631,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Work (physics); Mathematics education; Management science; Engineering ethics; Engineering; Psychology; Mechanical engineering","score_opus":0.2371119996115788,"score_gpt":0.5299110595519031,"score_spread":0.2927990599403243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505169213","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004851865,0.0007179559,0.906094,0.00036374328,0.0001061763,0.0024303515,0.00014090104,0.00024987556,0.08984847],"genre_scores_gemma":[0.036280453,0.00042917553,0.35516655,0.0005160798,0.0008306873,0.0008152019,0.0010466414,0.00018064896,0.60473454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99495816,0.00037552428,0.0017769975,0.0015613678,0.0010033229,0.0003246387],"domain_scores_gemma":[0.9852897,0.010483731,0.0011762314,0.0015938401,0.0012118694,0.00024465885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033482611,0.0005407129,0.0007827434,0.00089280173,0.0009790559,0.0009503931,0.000522427,0.00062393205,0.0005062979],"category_scores_gemma":[0.0006224114,0.00051849615,0.00021017963,0.00077985344,0.00029833041,0.00065456145,0.00029668782,0.0005160959,0.00038700167],"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":[0.0000059814893,0.00002331017,0.000043320793,0.000022192768,0.000023402397,6.306395e-8,0.000077086595,0.7018093,0.0000065326676,0.10840518,0.00066813006,0.18891549],"study_design_scores_gemma":[0.00011556649,0.00001134579,0.00002513162,0.000015543721,0.000050727584,9.746082e-7,0.00002484213,0.39929384,0.000002742616,0.22561327,0.37462044,0.00022558206],"about_ca_topic_score_codex":0.000010869477,"about_ca_topic_score_gemma":0.0000028186068,"teacher_disagreement_score":0.55092746,"about_ca_system_score_codex":0.00016651355,"about_ca_system_score_gemma":0.00029614609,"threshold_uncertainty_score":0.99972665},"labels":[],"label_agreement":null},{"id":"W2513820779","doi":"10.1103/baps.2016.dpp.no6.3","title":"Interactive, multiobjective Bayesian optimization of tokamak scenarios","year":2016,"lang":"en","type":"article","venue":"ASEP","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tokamak; Bayesian optimization; Bayesian probability; Computer science; Artificial intelligence; Physics; Plasma; Nuclear physics","score_opus":0.05297401948576512,"score_gpt":0.3960117825623605,"score_spread":0.3430377630765954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513820779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015479308,0.0000053956783,0.9746505,0.0012170691,0.000053150463,0.00020435601,0.00002522274,0.00005410931,0.008310915],"genre_scores_gemma":[0.976707,0.0000038202033,0.021722894,0.00010841687,0.00002149031,0.000023318753,0.0000021521778,0.000006103356,0.0014048307],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894476,0.00006258227,0.00033720274,0.00022987707,0.0003412894,0.0000843078],"domain_scores_gemma":[0.99808943,0.0008869173,0.00020765753,0.00037067654,0.00040210303,0.00004319502],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036968206,0.00006244232,0.0001166826,0.00015249908,0.000055474677,0.000027835054,0.00024037744,0.0000428836,0.0013462037],"category_scores_gemma":[0.0010051169,0.000037240312,0.00006303462,0.00038604418,0.0000581978,0.0002849561,0.00005116743,0.000030910764,0.000101390884],"study_design_candidate":"design_other","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":[0.00015848233,0.00043533748,0.023725327,0.0000034377392,0.00004541753,0.0000021007982,0.0013629192,0.04211344,0.023399286,0.024407476,0.021286186,0.8630606],"study_design_scores_gemma":[0.0031220166,0.00045078938,0.057062265,0.00020179166,0.00004254424,0.000011478406,0.0016699337,0.47354117,0.237864,0.1297879,0.095402464,0.00084364926],"about_ca_topic_score_codex":0.000025590623,"about_ca_topic_score_gemma":0.0000074240884,"teacher_disagreement_score":0.96122766,"about_ca_system_score_codex":0.00003108761,"about_ca_system_score_gemma":0.000026229945,"threshold_uncertainty_score":0.9995667},"labels":[],"label_agreement":null},{"id":"W2514618218","doi":"","title":"Real simulation tools in introductory courses: packaging and repurposing our research code.","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Repurposing; Code (set theory); Computer science; Software engineering; Programming language; Engineering management; Engineering; Set (abstract data type)","score_opus":0.3811112521813576,"score_gpt":0.5290612014352589,"score_spread":0.14794994925390131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514618218","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":[0.98435044,0.00026930153,0.0024735953,0.002557262,0.00014017067,0.0004930955,0.0000064765914,0.00012404902,0.009585588],"genre_scores_gemma":[0.99374366,0.000025860822,0.0052208514,0.00005341277,0.00029256078,0.000028575856,0.000006684463,0.000018049694,0.00061035814],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965012,0.000522208,0.00068968994,0.0006052329,0.0013280882,0.00035356975],"domain_scores_gemma":[0.9962507,0.0017451524,0.00021014384,0.0005967636,0.0010198033,0.00017747104],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.014493805,0.00012169821,0.0002320084,0.00049482676,0.00023426468,0.0004995525,0.00037126974,0.00010355531,0.0000032623539],"category_scores_gemma":[0.009223534,0.000107151456,0.000031758587,0.0009876118,0.00007284238,0.0005756359,0.00023991849,0.00030556758,0.00005861019],"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":[0.00011801933,0.00016040167,0.694071,0.000016006275,0.000012256935,0.000016234208,0.009795402,0.083926655,0.0061875973,0.006583255,0.048796766,0.15031645],"study_design_scores_gemma":[0.0017946324,0.00018985092,0.06597675,0.00032361006,0.000016475764,0.000014597586,0.040184457,0.6973262,0.0016901338,0.0784233,0.113273926,0.00078609335],"about_ca_topic_score_codex":0.0009445914,"about_ca_topic_score_gemma":0.0005885116,"teacher_disagreement_score":0.6280942,"about_ca_system_score_codex":0.00016080755,"about_ca_system_score_gemma":0.0001327533,"threshold_uncertainty_score":0.9991222},"labels":[],"label_agreement":null},{"id":"W2521134616","doi":"10.1080/02286203.2001.11442196","title":"Experiences with Devs Modelling and Simulation","year":2001,"lang":"en","type":"article","venue":"International Journal of Modelling and Simulation","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Formalism (music); Comprehension; Complex system; Software engineering; Modeling and simulation; Systems engineering; Simulation; Programming language; Engineering; Artificial intelligence","score_opus":0.15641095482272224,"score_gpt":0.4207447506427298,"score_spread":0.2643337958200076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521134616","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":[0.48938325,0.000093880684,0.51009524,0.0002019433,0.000057989542,0.000049227587,0.0000010151043,0.000011073679,0.00010640675],"genre_scores_gemma":[0.9864817,0.000110351495,0.013014053,0.000080950966,0.00019826162,0.0000034228517,0.0000026420678,0.0000096196,0.00009898422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778754,0.000040760413,0.00073177455,0.00023368627,0.001097812,0.00010844016],"domain_scores_gemma":[0.99693763,0.0009573516,0.0005315736,0.00012965794,0.0013483874,0.000095378266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092147035,0.00012046119,0.00018867406,0.00037284504,0.00015394331,0.00033900674,0.00025366765,0.000068471796,0.000042446707],"category_scores_gemma":[0.00012626308,0.00008710424,0.000052467105,0.00022816917,0.00007052719,0.0008290774,0.000034545967,0.00012492086,0.0000024586518],"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":[0.00013966726,0.000023929126,0.0020766696,6.6377874e-7,0.00001592803,0.0000042795696,0.0023950688,0.97760177,0.000009698865,0.00038100866,0.000005545535,0.017345762],"study_design_scores_gemma":[0.00042614943,0.000071840856,0.00015355313,0.000035090052,0.00001219458,0.00003878463,0.0014728259,0.9799211,0.000064831096,0.0153032495,0.002395897,0.000104461404],"about_ca_topic_score_codex":0.000016944074,"about_ca_topic_score_gemma":0.0000018870627,"teacher_disagreement_score":0.49709848,"about_ca_system_score_codex":0.000031301446,"about_ca_system_score_gemma":0.00003434458,"threshold_uncertainty_score":0.3552008},"labels":[],"label_agreement":null},{"id":"W2523707847","doi":"","title":"Complex Urban Systems ICT Infrastructure Modeling: A Sustainable City Case Study","year":2014,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Information and Communications Technology; Computer science; Process (computing); Key (lock); Process management; Systems engineering; Knowledge management; Engineering; Engineering management; Computer security","score_opus":0.0774701103129101,"score_gpt":0.3613785390925899,"score_spread":0.2839084287796798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523707847","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":[0.82607454,0.00009537407,0.1660361,0.0017317081,0.00026858176,0.0016774692,0.000049135157,0.0008296359,0.0032374386],"genre_scores_gemma":[0.990592,0.000003903168,0.007799391,0.00006688248,0.00008397793,0.00018953483,0.000009986316,0.0000310029,0.0012232914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99588585,0.00013592133,0.0012862493,0.0009919362,0.0011055453,0.0005945039],"domain_scores_gemma":[0.99514776,0.00017261085,0.0006690166,0.002553969,0.0012878932,0.00016872819],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018096886,0.0004009117,0.00083812623,0.0015865235,0.00069171045,0.00024624204,0.0017503777,0.00050435355,0.00007142258],"category_scores_gemma":[0.0019771196,0.0003314128,0.0001758513,0.003127308,0.00049488293,0.00054433226,0.00066776975,0.0005420261,0.000028493225],"study_design_candidate":"not_applicable","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":[0.000093375216,0.0017309752,0.2863667,0.00013550279,0.0004015939,0.0010967199,0.0027376327,0.17585783,0.0012518417,0.41875857,0.07619234,0.035376906],"study_design_scores_gemma":[0.0016372668,0.0005039234,0.0013385471,0.000037438313,0.00010908059,0.00057967124,0.016501026,0.38337788,0.00027668203,0.03856444,0.5563418,0.00073222525],"about_ca_topic_score_codex":0.00073510915,"about_ca_topic_score_gemma":0.00011994786,"teacher_disagreement_score":0.48014948,"about_ca_system_score_codex":0.000161281,"about_ca_system_score_gemma":0.00014712605,"threshold_uncertainty_score":0.9999138},"labels":[],"label_agreement":null},{"id":"W2524022956","doi":"10.82308/47013","title":"Optimization techniques for distributed logic simulation","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Rollback; Correctness; Logic simulation; Scheduling (production processes); Workstation; Discrete event simulation; Parallel computing; Synchronization (alternating current); Distributed computing; Logic gate; Real-time computing; Simulation; Algorithm; Engineering","score_opus":0.15205550738803977,"score_gpt":0.3662503705276872,"score_spread":0.21419486313964745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524022956","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":[0.12649657,0.00007218855,0.73231274,0.0003380027,0.0006946808,0.0075088684,0.0065662726,0.004631345,0.121379346],"genre_scores_gemma":[0.8781521,0.00001041183,0.12036082,0.00035366157,0.000029288673,0.0003680704,0.00017410779,0.00004739406,0.0005041649],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965342,0.00021097211,0.0011224786,0.0008938321,0.0008191723,0.0004193396],"domain_scores_gemma":[0.99575084,0.001159154,0.0005657601,0.001004733,0.0013091267,0.00021035908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022692254,0.00031459462,0.0003750911,0.0003870063,0.0010512271,0.0001371632,0.00089697127,0.00032676288,0.00077288825],"category_scores_gemma":[0.0034484158,0.0002769357,0.0002663112,0.0013025714,0.000094298164,0.0010814979,0.00018674295,0.00025160518,0.00014325682],"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":[0.00014948891,0.00036740038,0.00022861392,0.000013044184,0.000033121592,0.0000027420213,0.000008361983,0.053907003,0.0037568775,0.6035621,0.00006896074,0.33790225],"study_design_scores_gemma":[0.0005072748,0.00022076843,0.00067307334,0.000024517196,0.000046727033,0.000005079192,0.000064292915,0.092904195,0.068728656,0.7108307,0.12541988,0.0005748333],"about_ca_topic_score_codex":0.00003902477,"about_ca_topic_score_gemma":0.000014322567,"teacher_disagreement_score":0.7516555,"about_ca_system_score_codex":0.00021750724,"about_ca_system_score_gemma":0.00001953493,"threshold_uncertainty_score":0.9999683},"labels":[],"label_agreement":null},{"id":"W2528813739","doi":"10.4108/eai.25-10-2016.2266879","title":"Simulation from the Normal Distribution Truncated to an Interval in the Tail","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Normal distribution; Interval (graph theory); Statistics; Distribution (mathematics); Mathematics; Computer science; Mathematical analysis; Combinatorics","score_opus":0.23871355461450836,"score_gpt":0.48142052479432673,"score_spread":0.24270697017981838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528813739","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":[0.4508291,0.000012242369,0.53395057,0.011107847,0.0002237913,0.0011591353,0.0004980196,0.00010223774,0.0021170625],"genre_scores_gemma":[0.9967049,0.000001925976,0.0008142733,0.0008605467,0.00022536554,0.0001679163,0.000825261,0.000008237956,0.00039159818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971994,0.00038434943,0.0006992011,0.0006017769,0.00094591815,0.00016936506],"domain_scores_gemma":[0.9943318,0.0023253309,0.00037755567,0.0025374086,0.0003666227,0.00006133235],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003161749,0.00018039512,0.00022510217,0.00007272077,0.0003981489,0.0013641058,0.0031907922,0.00020830915,0.00044596396],"category_scores_gemma":[0.002385657,0.000088413915,0.00013090632,0.0003016437,0.00007451005,0.0002527802,0.0007337409,0.0004343966,0.00020963559],"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":[0.000120842524,0.00030488172,0.033276584,0.0000025174602,0.00002227337,0.0000023745397,0.0058051753,0.64093447,0.00008018501,0.016036073,0.02899867,0.27441594],"study_design_scores_gemma":[0.00013685336,0.000027676797,0.31740895,0.000022132734,0.000013097476,2.486595e-7,0.0008277118,0.50238043,0.00009749997,0.11904847,0.059842795,0.00019413943],"about_ca_topic_score_codex":0.0025222283,"about_ca_topic_score_gemma":0.0012090906,"teacher_disagreement_score":0.5458758,"about_ca_system_score_codex":0.00006720869,"about_ca_system_score_gemma":0.000069694295,"threshold_uncertainty_score":0.9996726},"labels":[],"label_agreement":null},{"id":"W2534118885","doi":"10.1109/eais.2015.7368782","title":"Solving Stochastic Root-Finding with adaptive d-ary search","year":2015,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Root (linguistics); Computer science; Mathematical optimization; Mathematics","score_opus":0.35804132882084627,"score_gpt":0.4552006185707822,"score_spread":0.09715928974993593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534118885","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":[0.073149025,0.000016226719,0.88081163,0.00059362344,0.000025870711,0.00022491433,0.0000025616882,0.00014115234,0.04503498],"genre_scores_gemma":[0.9755222,1.3251562e-7,0.019912044,0.00010626582,0.00004668526,0.000023104058,0.0000013311096,0.0000084260255,0.0043797763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982403,0.000048448284,0.00023969455,0.00030342088,0.0009895293,0.00017860818],"domain_scores_gemma":[0.9982365,0.00063333474,0.00006225007,0.00039265802,0.00046047126,0.00021482423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012968102,0.000080019745,0.0001208406,0.00018500291,0.00014024474,0.00016385221,0.00037372077,0.00003748336,0.00044031482],"category_scores_gemma":[0.00044121977,0.000050055998,0.000029748246,0.0007483172,0.00006295937,0.00025244744,0.000109600136,0.00010491793,0.00041230945],"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":[0.00031490994,0.0002998934,0.030364113,0.0000033623264,0.000060603237,0.000019290632,0.006365619,0.23064792,0.00082975376,0.47539544,0.08510001,0.17059909],"study_design_scores_gemma":[0.0014223916,0.00072894944,0.017986072,0.000051708208,0.000023685481,0.000043756194,0.016347585,0.7587651,0.0037243478,0.1898683,0.010282741,0.000755375],"about_ca_topic_score_codex":0.00006842549,"about_ca_topic_score_gemma":0.000042507978,"teacher_disagreement_score":0.9023732,"about_ca_system_score_codex":0.000045432644,"about_ca_system_score_gemma":0.00014478463,"threshold_uncertainty_score":0.52995414},"labels":[],"label_agreement":null},{"id":"W2535735789","doi":"10.22360/springsim.2016.tmsdevs.004","title":"A Quantum of Continuous Simulated Time","year":2016,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Autodesk (Canada)","funders":"","keywords":"Simultaneity; Computer science; Representation (politics); Set (abstract data type); Rounding; Context (archaeology); Property (philosophy); Event (particle physics); Discrete time and continuous time; Theoretical computer science; Algorithm; Mathematics","score_opus":0.08047016556066003,"score_gpt":0.4017620731020366,"score_spread":0.3212919075413766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535735789","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":[0.73649627,0.000013157824,0.21065192,0.0027792358,0.0000356156,0.00027887104,0.000022918883,0.00023699195,0.049485],"genre_scores_gemma":[0.9726866,0.0000011802133,0.0008569866,0.000080255515,0.000009827026,0.000002264163,4.068001e-7,0.0000036283916,0.02635887],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989738,0.00003062277,0.00038683097,0.00016644456,0.00036211053,0.000080205304],"domain_scores_gemma":[0.9979646,0.0011509542,0.00012393584,0.00041521963,0.0003058823,0.0000393686],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00054507056,0.00004562833,0.00013536483,0.00009284233,0.000026555696,0.00001790571,0.00028632962,0.000036995538,0.0059863855],"category_scores_gemma":[0.00067734695,0.00002165656,0.0000587554,0.0003475325,0.000056543395,0.00008631218,0.00004313327,0.000014063373,0.0015435233],"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":[0.000041981428,0.00018138385,0.01344692,0.0000011032395,0.00001729677,0.0000010832397,0.000109517096,0.00014250883,0.2921444,0.26736894,0.09544875,0.33109614],"study_design_scores_gemma":[0.0009675294,0.00016432026,0.0137508875,0.000023613746,0.000009188049,0.0000027555434,0.00007720522,0.042626433,0.12025174,0.5480497,0.27381298,0.00026368533],"about_ca_topic_score_codex":0.00001322201,"about_ca_topic_score_gemma":6.162061e-7,"teacher_disagreement_score":0.33083245,"about_ca_system_score_codex":0.0000057512134,"about_ca_system_score_gemma":0.000014548919,"threshold_uncertainty_score":0.9992339},"labels":[],"label_agreement":null},{"id":"W2539664331","doi":"10.1109/cacsd.2004.1393853","title":"Multiparadigm design, validation and verification by simulation in flight control system development","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"University of Toronto","funders":"","keywords":"Computer science; Development (topology); Systems engineering; Process (computing); Control (management); Model validation; Verification and validation of computer simulation models; Software engineering; Programming language; Artificial intelligence; Engineering; Data science","score_opus":0.10608226808172942,"score_gpt":0.38778415634624186,"score_spread":0.2817018882645124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539664331","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":[0.0896817,0.00004619853,0.90803164,0.0005605186,0.000018374747,0.00065387064,0.000003283015,0.00011799642,0.00088642776],"genre_scores_gemma":[0.9664656,0.0000024794836,0.032731272,0.00009982833,0.0000228024,0.000114013616,0.0000140539,0.0000067951946,0.0005431437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982492,0.00013108636,0.00068517565,0.0003561876,0.00045377642,0.00012457964],"domain_scores_gemma":[0.99852383,0.0008226831,0.00017280527,0.0002679358,0.00015166221,0.0000610796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015962876,0.00009957413,0.00014819336,0.00020250607,0.00012845098,0.00015047913,0.00016363316,0.00007674758,0.00007418256],"category_scores_gemma":[0.00019279437,0.000080471706,0.000018463827,0.00040140824,0.000020685598,0.00037923935,0.000015715677,0.00004725084,0.00015526732],"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":[0.00008087943,0.00020378015,0.013587558,0.00000863834,0.000012055806,2.8758024e-7,0.0011155542,0.5588395,0.011761339,0.01660029,0.004059234,0.3937309],"study_design_scores_gemma":[0.0006163501,0.000010702138,0.010037875,0.000007884184,0.0000031647423,7.6197e-7,0.00011751816,0.9119166,0.024700029,0.00039695966,0.052063454,0.00012866083],"about_ca_topic_score_codex":0.0000128084175,"about_ca_topic_score_gemma":0.000007912901,"teacher_disagreement_score":0.8767839,"about_ca_system_score_codex":0.00013093094,"about_ca_system_score_gemma":0.000029824767,"threshold_uncertainty_score":0.3281541},"labels":[],"label_agreement":null},{"id":"W2543155682","doi":"10.22360/springsim.2016.tmsdevs.006","title":"DesignDEVS: Reinforcing Theoretical Principles in a Practical and Lightweight Simulation Environment","year":2016,"lang":"en","type":"article","venue":"","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":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"DEVS; Computer science; Scripting language; Formalism (music); Key (lock); Modeling and simulation; Programming language; Software engineering; Discrete event simulation; Distributed computing; Simulation; Operating system","score_opus":0.15870219935010482,"score_gpt":0.4223897170375677,"score_spread":0.2636875176874629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543155682","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":[0.078257754,0.000008082991,0.90283,0.0067554326,0.0000103259745,0.00028299083,0.0000012863245,0.000052518604,0.011801619],"genre_scores_gemma":[0.9718024,0.000018225664,0.02684384,0.00011833816,0.000020451025,0.000026739805,3.6349437e-7,0.0000052793603,0.0011643213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984972,0.00008773481,0.00047781845,0.00031594606,0.0004795719,0.00014173175],"domain_scores_gemma":[0.9955861,0.003872248,0.000088007066,0.00033293382,0.000039961888,0.00008075365],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014118961,0.00008083652,0.00011909962,0.00013812997,0.00006503469,0.000080333186,0.00012378224,0.00007170459,0.001705649],"category_scores_gemma":[0.0014920484,0.000041542437,0.000027598062,0.00016727328,0.00016227274,0.00030747653,0.000103035134,0.000050699986,0.00018479546],"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":[0.000014973164,0.000021988564,0.00557859,3.9007202e-7,0.0000011595929,0.0000011019386,0.000057963047,0.00103855,0.00061691384,0.9585541,0.00007190983,0.034042362],"study_design_scores_gemma":[0.0005246669,0.00008784601,0.020203015,0.00002146839,0.0000052544574,0.000006003736,0.000104550265,0.24324012,0.0063674995,0.67499757,0.05423734,0.00020470005],"about_ca_topic_score_codex":0.0000021410528,"about_ca_topic_score_gemma":0.0000020696023,"teacher_disagreement_score":0.8935447,"about_ca_system_score_codex":0.000041247582,"about_ca_system_score_gemma":0.00002734099,"threshold_uncertainty_score":0.9992069},"labels":[],"label_agreement":null},{"id":"W2543504053","doi":"10.1109/bmas.2008.4751250","title":"Semantics for Rollback-Based Continuous/Discrete Simulation","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Polytechnique Montréal","funders":"","keywords":"Rollback; Computer science; Semantics (computer science); Programming language; Discrete event simulation; Parallel computing; Simulation; Database transaction","score_opus":0.22862924089945033,"score_gpt":0.46549394049397597,"score_spread":0.23686469959452564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543504053","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":[0.05991836,0.000007752501,0.9331996,0.0014082335,0.000047839552,0.00059332646,0.00002135404,0.0001944143,0.004609129],"genre_scores_gemma":[0.9525633,0.0000012700756,0.039838407,0.00069388095,0.00006210928,0.000059547274,0.000016599603,0.000011129933,0.006753797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849874,0.00003222016,0.00048425305,0.0003089363,0.0005204356,0.00015541204],"domain_scores_gemma":[0.9967679,0.0019426744,0.00015481772,0.0005030821,0.0005601641,0.00007135892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063146255,0.00009516092,0.00017822447,0.00014088568,0.0002925215,0.000073211726,0.00029659437,0.00007018815,0.0004482379],"category_scores_gemma":[0.00086953514,0.00007031166,0.00014162692,0.0004361511,0.000065587206,0.00015063088,0.000024894614,0.000041559113,0.00016265134],"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":[0.00017351458,0.00027588377,0.05369786,0.000008794864,0.000021596436,0.0000032845214,0.00038588274,0.7286899,0.0017076159,0.06500727,0.106980935,0.043047428],"study_design_scores_gemma":[0.00047748417,0.0000494286,0.0029754795,0.000002186242,0.0000053021117,8.940539e-7,0.00005461896,0.8242138,0.0028531973,0.021188919,0.14805652,0.00012216931],"about_ca_topic_score_codex":0.000007769811,"about_ca_topic_score_gemma":0.0000037643763,"teacher_disagreement_score":0.8933612,"about_ca_system_score_codex":0.00001464132,"about_ca_system_score_gemma":0.000047158937,"threshold_uncertainty_score":0.49078906},"labels":[],"label_agreement":null},{"id":"W2548347032","doi":"10.5751/es-00360-0601r01","title":"Acceptance, Rejection, and the Tightening Feedback Loop","year":2002,"lang":"en","type":"article","venue":"Conservation Ecology","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Feedback loop; Loop (graph theory); Control theory (sociology); Computer science; Mathematics; Artificial intelligence","score_opus":0.10559993418883515,"score_gpt":0.35125110413426586,"score_spread":0.2456511699454307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548347032","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":[0.78927416,0.00040796763,0.04159577,0.12502506,0.00048192748,0.0009349682,0.0000059231547,0.00026323387,0.042010978],"genre_scores_gemma":[0.9786227,0.0000793715,0.0013103279,0.005633546,0.000060652805,0.000091424816,0.0000019924917,0.0000056471067,0.01419439],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988358,0.00016817667,0.00041422393,0.0002575827,0.00020577952,0.00011845352],"domain_scores_gemma":[0.9970289,0.00205386,0.00020583159,0.0003537553,0.00032191552,0.00003573011],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010529646,0.000070286536,0.00014930032,0.0001076795,0.00039227764,0.00012235802,0.0002565886,0.00007650459,0.0024938355],"category_scores_gemma":[0.00147029,0.00004514924,0.00003984904,0.00061855774,0.00031232892,0.00019592031,0.0000614806,0.000093861694,0.00034745323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004821207,0.000059713548,0.21145077,0.0000022924671,0.0000230192,0.0000010916616,0.0008126188,0.00015645022,0.00020658293,0.30052164,0.3560123,0.13070528],"study_design_scores_gemma":[0.0012192999,0.000030570685,0.3182461,0.000002403556,0.000013436255,0.00002140673,0.00028458718,0.10675452,0.00013467127,0.120947786,0.45221993,0.00012528963],"about_ca_topic_score_codex":0.000016633365,"about_ca_topic_score_gemma":0.00007325934,"teacher_disagreement_score":0.18934849,"about_ca_system_score_codex":0.000016479587,"about_ca_system_score_gemma":0.000012256487,"threshold_uncertainty_score":0.99841803},"labels":[],"label_agreement":null},{"id":"W2554383746","doi":"10.1007/978-3-319-48869-1","title":"Verified Software. Theories, Tools, and Experiments","year":2016,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Software engineering","score_opus":0.07323841759567382,"score_gpt":0.3723079387014487,"score_spread":0.2990695211057749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554383746","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":[0.00020039661,0.00030727423,0.9950312,0.0004182562,0.00050078804,0.0003520666,0.000035077337,0.00010994871,0.0030450327],"genre_scores_gemma":[0.26914108,0.00013445696,0.70256,0.004629254,0.0014960513,0.00014057211,0.00003097855,0.00008623603,0.021781396],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965784,0.00005456422,0.00054105476,0.0011656416,0.0013254684,0.00033484955],"domain_scores_gemma":[0.9954484,0.002706729,0.00025521498,0.001171,0.00029240106,0.00012621818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015922986,0.00026753588,0.00036083566,0.0004897492,0.00027431632,0.0007728244,0.0017610688,0.0002239585,0.00013911581],"category_scores_gemma":[0.0011716774,0.00017527287,0.00006447387,0.0007297753,0.000895231,0.00043245484,0.0007483888,0.00024675147,0.00007120188],"study_design_candidate":"design_other","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":[0.0000050511385,0.000012109626,0.00018210389,0.0000024561698,0.0000021169321,0.0000028976788,0.00027016326,0.00022799632,0.00014099778,0.00781997,0.0008590431,0.9904751],"study_design_scores_gemma":[0.00018096366,0.00005546424,0.00052325474,0.00009806937,0.0000027246974,0.000008860151,5.2654195e-7,0.003872592,0.0028509153,0.9408706,0.051203042,0.00033301004],"about_ca_topic_score_codex":0.000004307209,"about_ca_topic_score_gemma":0.0000052583446,"teacher_disagreement_score":0.9901421,"about_ca_system_score_codex":0.00017322943,"about_ca_system_score_gemma":0.0004982125,"threshold_uncertainty_score":0.74523634},"labels":[],"label_agreement":null},{"id":"W2558088343","doi":"10.1177/0037549716678330","title":"An evaluation of DEVS simulation tools","year":2016,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Computer science; Suite; Discrete event simulation; Formalism (music); Software engineering; Set (abstract data type); Popularity; Theoretical computer science; Programming language; Modeling and simulation; Simulation; Mathematics","score_opus":0.44081344994078814,"score_gpt":0.5555969497440638,"score_spread":0.11478349980327568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558088343","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":[0.5135927,0.000009667293,0.4840558,0.00014140194,0.000060256458,0.0004406351,0.000020451975,0.00007969031,0.0015994261],"genre_scores_gemma":[0.9979889,0.0000010630002,0.0016483277,0.000043144853,0.00009500999,0.00003256065,0.000020976615,0.00001286681,0.00015714459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962755,0.00035194724,0.0008301714,0.0004016938,0.00199956,0.0001411361],"domain_scores_gemma":[0.99345237,0.0027655768,0.00046560226,0.00085841183,0.0023826608,0.000075370015],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004440066,0.000113902504,0.0001799477,0.00030133405,0.000114713264,0.00009284339,0.00034041778,0.00011123889,0.0013075488],"category_scores_gemma":[0.003917531,0.00007470748,0.00008543123,0.00070271076,0.000058860533,0.0013487606,0.00002962639,0.00003574361,0.0001585797],"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":[0.000012931847,0.00003105979,0.0036779905,4.843076e-7,0.0000021700093,1.7971383e-8,0.00006451376,0.57481533,0.004843929,0.0024535682,0.00002306853,0.41407493],"study_design_scores_gemma":[0.00049498735,0.000051872084,0.060345244,0.00001054363,0.000020060175,1.19053325e-7,0.000039967512,0.8421215,0.0050871624,0.08897469,0.0027498265,0.0001040327],"about_ca_topic_score_codex":0.000007180703,"about_ca_topic_score_gemma":0.0000069908165,"teacher_disagreement_score":0.48439622,"about_ca_system_score_codex":0.00009282378,"about_ca_system_score_gemma":0.00008300129,"threshold_uncertainty_score":0.9996054},"labels":[],"label_agreement":null},{"id":"W2560151119","doi":"","title":"AIAA Modeling and Simulation Technologies Conference, Toronto, Canada","year":2010,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Political science; Operations research; Telecommunications; Engineering","score_opus":0.09488921616522975,"score_gpt":0.3953509504352544,"score_spread":0.30046173427002465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560151119","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":[0.5342369,0.000037401354,0.42416537,0.0020732197,0.000114388524,0.00023328472,0.000008876777,0.0003992999,0.038731273],"genre_scores_gemma":[0.9910819,0.000005493824,0.007852336,0.00009273097,0.000013976018,0.000011872591,0.0000015630188,0.0000033388455,0.0009367855],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904376,0.000008309006,0.0002548824,0.00023142174,0.00036356747,0.00009807033],"domain_scores_gemma":[0.9989645,0.00030463826,0.000053859916,0.0003641759,0.00027624954,0.000036611375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030905363,0.00006482728,0.00009194636,0.000037453316,0.00013374713,0.00013131932,0.0002535084,0.00007312743,0.00064069603],"category_scores_gemma":[0.0005058354,0.000046320703,0.000014075161,0.00014123016,0.000038229893,0.00022340447,0.00007784793,0.00008633306,0.0000058802025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062889176,0.000025151045,0.006606435,0.0000017349221,0.000005757351,6.482964e-7,0.0001200681,0.077932835,0.0035795604,0.330976,0.0051412354,0.57560426],"study_design_scores_gemma":[0.000043642587,0.000004178158,0.00043946705,7.5148273e-7,0.0000012369743,6.1011167e-7,0.00063236646,0.9093711,0.000501255,0.06516846,0.023769837,0.000067137255],"about_ca_topic_score_codex":0.17286877,"about_ca_topic_score_gemma":0.77471995,"teacher_disagreement_score":0.83143824,"about_ca_system_score_codex":0.000020200157,"about_ca_system_score_gemma":0.00010013457,"threshold_uncertainty_score":0.83263916},"labels":[],"label_agreement":null},{"id":"W256328110","doi":"","title":"Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, San Diego, California, USA, March 22-27, 2009","year":2009,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Spring (device); Meteorology; Engineering; Geography","score_opus":0.08924721196481213,"score_gpt":0.38355523457251595,"score_spread":0.29430802260770383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W256328110","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":[0.90772164,0.00007287927,0.0856389,0.00041320428,0.0002446626,0.0016791399,0.00008904848,0.0002636954,0.0038768267],"genre_scores_gemma":[0.9889513,0.000013330817,0.009485994,0.00025550553,0.00017490482,0.000033685676,0.000005715043,0.000042941432,0.0010365719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99342436,0.00013715356,0.0021809847,0.0012519679,0.002216564,0.00078896474],"domain_scores_gemma":[0.99276584,0.0018336611,0.0013895332,0.0013460185,0.0023578005,0.0003071157],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001960571,0.0005873239,0.0007439834,0.00067200174,0.0006831059,0.0006141059,0.0019303986,0.00036683673,0.0011652083],"category_scores_gemma":[0.0034681968,0.0004685009,0.0003816634,0.0018758577,0.0003002159,0.00092124514,0.00037594858,0.00064929854,0.00038591336],"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":[0.00008604661,0.00031043103,0.24681036,0.000029721525,0.000024290297,9.487939e-7,0.00044998393,0.6736967,0.017401945,0.012384514,0.00020673836,0.048598293],"study_design_scores_gemma":[0.0005822212,0.000053243268,0.3850987,0.00012303672,0.000032268246,7.119073e-7,0.00012053446,0.59686774,0.0054957205,0.0056427177,0.005592859,0.0003902652],"about_ca_topic_score_codex":0.00048607506,"about_ca_topic_score_gemma":0.00012419718,"teacher_disagreement_score":0.13828833,"about_ca_system_score_codex":0.00016169783,"about_ca_system_score_gemma":0.00018591768,"threshold_uncertainty_score":0.99977666},"labels":[],"label_agreement":null},{"id":"W2564685118","doi":"10.1109/milcom.2016.7795375","title":"Validation of network simulation model and scalability tests using example malware","year":2016,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Emulation; Computer science; Scalability; Network simulation; Simulation; Software; Data modeling; Distributed computing; Operating system; Software engineering","score_opus":0.29875833265843044,"score_gpt":0.45491624654633295,"score_spread":0.1561579138879025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564685118","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":[0.49706918,0.0000034011887,0.5024261,0.00008725346,0.0000073226897,0.000110721696,0.000004776303,0.00002796314,0.00026329825],"genre_scores_gemma":[0.95246696,0.000001342878,0.04719533,0.00002917277,0.000023437999,0.0000047390026,0.0000012972953,0.0000045267566,0.00027317327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987895,0.000053760756,0.00043044123,0.0002671785,0.0003638359,0.00009531817],"domain_scores_gemma":[0.9976029,0.001419769,0.00016809833,0.00039823318,0.00036571606,0.000045315715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010803391,0.000061773324,0.00012114155,0.00006367786,0.000089518144,0.00003682603,0.00012686991,0.000052276297,0.00022283576],"category_scores_gemma":[0.0005699463,0.00003662249,0.000032611253,0.00035534104,0.0000656022,0.00029733856,0.00006915471,0.000018570921,0.000006992241],"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":[0.000008158404,0.000022474618,0.1026293,0.0000017881654,0.000001780039,1.700373e-8,0.000041028707,0.83457893,0.0065978314,0.009895113,0.00018170616,0.04604185],"study_design_scores_gemma":[0.00009171455,0.000008727097,0.028917456,0.0000071496047,0.0000033711067,2.058975e-7,0.000009426654,0.7396276,0.0028881852,0.22823338,0.00016206167,0.000050710707],"about_ca_topic_score_codex":0.000038450475,"about_ca_topic_score_gemma":0.000007563278,"teacher_disagreement_score":0.4553978,"about_ca_system_score_codex":0.000020191539,"about_ca_system_score_gemma":0.000023167879,"threshold_uncertainty_score":0.24398953},"labels":[],"label_agreement":null},{"id":"W2568349521","doi":"10.22360/summersim.2016.scsc.040","title":"Rollback-Based Simulation for the Design of Continuous/Discrete Simulation Tools","year":2016,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Rollback; Computer science; Discrete event simulation; Modeling and simulation; Simulation modeling; Continuous simulation; Systems engineering; Simulation; Engineering; Programming language","score_opus":0.2897248661766467,"score_gpt":0.4640233516148145,"score_spread":0.17429848543816778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568349521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002668074,0.0000134039665,0.99326485,0.00177094,0.000044797267,0.0016707039,0.000041931642,0.00008698411,0.00043829248],"genre_scores_gemma":[0.9768099,0.0000015135852,0.021049296,0.0002368325,0.0000491082,0.00015295958,0.0000036035,0.000011540259,0.0016852233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981458,0.0001161235,0.0007166184,0.00029216675,0.0005822765,0.00014699831],"domain_scores_gemma":[0.96337634,0.03471751,0.0003688451,0.00067047455,0.0008253118,0.000041486663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022342172,0.00010769951,0.0001912018,0.000117105825,0.00017359327,0.00010381178,0.0004444158,0.0000751652,0.0006090441],"category_scores_gemma":[0.0043084524,0.000047791415,0.00015445464,0.00040320778,0.000091364214,0.00031268553,0.000029607516,0.000026736972,0.00005053126],"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":[0.00011881158,0.000017031549,0.00039169707,8.375753e-7,0.0000053711,1.8161614e-8,0.000021543592,0.87364846,0.002060328,0.005109338,0.000802392,0.11782417],"study_design_scores_gemma":[0.0009200818,0.000076605706,0.0015417197,0.000008319597,0.000014451493,4.6315826e-8,0.00003847294,0.94216716,0.008451109,0.028024457,0.01866974,0.000087816385],"about_ca_topic_score_codex":0.000005235083,"about_ca_topic_score_gemma":0.0000018496794,"teacher_disagreement_score":0.97414184,"about_ca_system_score_codex":0.000022139957,"about_ca_system_score_gemma":0.00005106357,"threshold_uncertainty_score":0.6668606},"labels":[],"label_agreement":null},{"id":"W2571000320","doi":"10.71781/11073","title":"A discrete flow model for dynamic network loading","year":2000,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flow (mathematics); Computer science; Mathematics","score_opus":0.013837667582616172,"score_gpt":0.23390768459590827,"score_spread":0.2200700170132921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571000320","genre_codex":"other","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":[0.08295743,0.00036119117,0.38072294,0.01977662,0.0001870536,0.0012176916,0.0013819728,0.000074385614,0.51332074],"genre_scores_gemma":[0.9370846,0.00003724201,0.020660188,0.0010665448,0.00003179128,0.00002523883,0.0000066576436,0.0000110466535,0.041076694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979018,0.000024309826,0.0003386799,0.0002518519,0.0012661844,0.00021717676],"domain_scores_gemma":[0.9989043,0.00058379414,0.00010164774,0.00025593807,8.445626e-7,0.00015347256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003083842,0.00010484473,0.00017100753,0.000014708861,0.00024513516,0.000045920155,0.00030680504,0.0000179096,0.00015205314],"category_scores_gemma":[0.0000063610946,0.00008811387,0.000037521757,0.00012505183,0.00004208367,0.00026808662,0.00005363959,0.00005336823,5.8414473e-9],"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":[0.00048732187,0.000025339401,0.005073953,0.0000289986,0.00004211111,0.000005133934,0.00014792077,0.4344331,0.0018490719,0.1921596,0.015815828,0.34993163],"study_design_scores_gemma":[0.00012267403,0.000014385739,0.002173799,0.000015024679,0.000005198047,7.756555e-7,0.00013722248,0.88935816,0.0009982826,0.06514407,0.041925877,0.0001045598],"about_ca_topic_score_codex":0.00022396684,"about_ca_topic_score_gemma":0.006704603,"teacher_disagreement_score":0.85412717,"about_ca_system_score_codex":0.0000040734794,"about_ca_system_score_gemma":0.00045329184,"threshold_uncertainty_score":0.37413257},"labels":[],"label_agreement":null},{"id":"W2576038084","doi":"10.5555/3042094.3042533","title":"Discrete event modeling and simulation methodologies: past, present and future","year":2016,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Interoperability; Formalism (music); Modeling and simulation; Systems engineering; Perspective (graphical); Development (topology); Software engineering; Data science; Distributed computing; Simulation; Artificial intelligence; Engineering","score_opus":0.2698451191333001,"score_gpt":0.47790187961689484,"score_spread":0.20805676048359473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576038084","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":[0.0707743,0.000059055532,0.92014176,0.008013115,0.00009385953,0.00033797286,0.000017372115,0.00011129429,0.00045125315],"genre_scores_gemma":[0.9902656,0.000030353738,0.00850711,0.00012139333,0.00044404482,0.000026606938,0.0000036618223,0.000011333924,0.0005899076],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786913,0.00022920965,0.0006105068,0.00059990044,0.0005073593,0.00018387324],"domain_scores_gemma":[0.99609953,0.0025807952,0.00020783958,0.0004949669,0.00050139223,0.00011547457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010391044,0.00017518054,0.0002346473,0.00017286668,0.00016826479,0.0002441456,0.00025321287,0.000113301016,0.000301586],"category_scores_gemma":[0.00038233201,0.00010604591,0.000058725513,0.00020932539,0.00009797072,0.00058665284,0.00020583729,0.000079213394,0.000023437944],"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":[0.000052901025,0.000012773586,0.003204684,0.000004323727,0.000011728473,3.9686395e-7,0.00063199154,0.47584024,0.00055942213,0.0050083306,0.0001516654,0.51452154],"study_design_scores_gemma":[0.00029349152,0.00003536603,0.0045058196,0.00002560207,0.00000908595,9.438068e-7,0.00024809592,0.9007777,0.00013216036,0.07066069,0.02315832,0.00015275441],"about_ca_topic_score_codex":0.00000714941,"about_ca_topic_score_gemma":0.000002613008,"teacher_disagreement_score":0.9194913,"about_ca_system_score_codex":0.000025216495,"about_ca_system_score_gemma":0.000021079775,"threshold_uncertainty_score":0.43244267},"labels":[],"label_agreement":null},{"id":"W2577535794","doi":"","title":"Multi-Agent Area Coverage Control Using Reinforcement Learning.","year":2016,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reinforcement learning; Computer science; Control (management); Artificial intelligence; Machine learning","score_opus":0.3374562378777286,"score_gpt":0.5020074322642909,"score_spread":0.1645511943865623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577535794","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":[0.090627216,0.00006212212,0.898123,0.009045128,0.000120170436,0.00092491286,0.000016338641,0.00012071701,0.00096037134],"genre_scores_gemma":[0.9857044,0.00009330432,0.0008460197,0.0007821942,0.00020580768,0.00011222203,0.0000015714301,0.00001549456,0.012238966],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956877,0.0004835375,0.000482307,0.00042916503,0.0023866864,0.0005306089],"domain_scores_gemma":[0.9944058,0.003349745,0.00013469406,0.00094034127,0.0010276752,0.00014172899],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009739274,0.00012974176,0.00018852827,0.00007798793,0.0012377856,0.00030911659,0.0010420827,0.0000908405,0.00097292766],"category_scores_gemma":[0.0019575655,0.00006115967,0.00027470262,0.0008708189,0.0003995283,0.0002504109,0.00034956777,0.000443364,0.0004904913],"study_design_candidate":"not_applicable","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":[0.00028163343,0.00033531155,0.031867374,0.000019792995,0.00032799284,0.000009494052,0.0077469954,0.12472598,0.22296645,0.017696787,0.47689354,0.11712866],"study_design_scores_gemma":[0.0016712758,0.00010926305,0.0033314442,0.000033709093,0.000011281608,0.0000031711054,0.0008715052,0.5462109,0.0046192105,0.010881657,0.43203044,0.00022619129],"about_ca_topic_score_codex":0.00008678751,"about_ca_topic_score_gemma":0.0000034601726,"teacher_disagreement_score":0.897277,"about_ca_system_score_codex":0.00026633174,"about_ca_system_score_gemma":0.00015974492,"threshold_uncertainty_score":0.99994034},"labels":[],"label_agreement":null},{"id":"W2579801605","doi":"10.5555/3042094.3042116","title":"A tutorial on ABCmod: an activity based discrete event conceptual modelling framework","year":2016,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Ottawa","funders":"","keywords":"Computer science; Conceptual model; Domain (mathematical analysis); Domain model; Conceptual framework; Process (computing); Event (particle physics); Perspective (graphical); Naturalness; Discrete event simulation; Artificial intelligence; Programming language; Simulation; Mathematics; Epistemology","score_opus":0.25866402770276054,"score_gpt":0.4587856616341101,"score_spread":0.20012163393134957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579801605","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":[0.18569274,0.0000012331251,0.81155896,0.0011261252,0.00030800162,0.0003004505,0.000047722853,0.00015939398,0.0008053769],"genre_scores_gemma":[0.99328923,6.8242196e-7,0.0053888713,0.00030535876,0.00036323807,0.00004649556,0.0000064395354,0.000017662747,0.0005820316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715865,0.0002590101,0.00055440597,0.00074211,0.0010358224,0.00024998974],"domain_scores_gemma":[0.9948875,0.0030552063,0.0002949827,0.0010113124,0.00057247013,0.00017855002],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079195,0.00021352588,0.00025647806,0.0001817572,0.00019547372,0.00024035841,0.000615882,0.00017284168,0.0021100596],"category_scores_gemma":[0.00080830103,0.00013766947,0.00013866147,0.00030754608,0.00020178503,0.0006490788,0.00006743309,0.00016923773,0.00030190725],"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":[0.00029076324,0.00013156049,0.0008363195,0.0000010155039,0.00000770762,7.6483906e-7,0.00061379286,0.8669177,0.0010182393,0.07025486,0.00015191035,0.05977536],"study_design_scores_gemma":[0.00045342368,0.00016406168,0.00088861823,0.00006722401,0.000005761808,1.4211544e-7,0.000065751585,0.9129598,0.0023013584,0.07314477,0.00972942,0.00021963633],"about_ca_topic_score_codex":0.000015310296,"about_ca_topic_score_gemma":0.0000060612115,"teacher_disagreement_score":0.8075965,"about_ca_system_score_codex":0.00008180864,"about_ca_system_score_gemma":0.000105124906,"threshold_uncertainty_score":0.9988021},"labels":[],"label_agreement":null},{"id":"W2588652433","doi":"10.1063/1.1435522","title":"Perturbative SUSYM vs. AdS/CFT: A brief review","year":2001,"lang":"en","type":"review","venue":"AIP conference proceedings","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Physics; Mathematical physics","score_opus":0.24521862060675115,"score_gpt":0.4606556697285817,"score_spread":0.21543704912183054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588652433","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[5.879514e-7,0.93981284,0.003391286,0.0014305131,0.00008555007,0.0023044075,0.00005974347,0.00028486238,0.052630182],"genre_scores_gemma":[0.00009246011,0.98109037,0.00076874177,0.001438487,0.00021320378,0.0010868872,0.00005705791,0.000060176928,0.015192602],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940968,0.00008244901,0.0021274628,0.0015452296,0.0016101599,0.0005378923],"domain_scores_gemma":[0.9934612,0.0010292897,0.0017770731,0.00081161346,0.002614754,0.0003060967],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022824625,0.0007271662,0.0027858014,0.00046781686,0.0002861771,0.0007701269,0.0026119584,0.00046217456,0.0036264902],"category_scores_gemma":[0.0036761775,0.0005056944,0.000824864,0.0033809205,0.000226146,0.00055435265,0.00044487417,0.0007520218,0.0015875987],"study_design_candidate":"not_applicable","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":[0.0000016101457,0.000034046232,0.000030262157,0.0029912768,0.000022424489,0.0000015758717,0.00010323841,4.9381383e-9,3.0067156e-7,0.01681118,0.09681331,0.88319075],"study_design_scores_gemma":[0.00007120625,0.00006454572,0.000009604476,0.025746096,0.00029723466,0.00005743841,0.00006103819,0.00013287345,6.1554846e-7,0.013159713,0.95984,0.0005596354],"about_ca_topic_score_codex":0.00002424743,"about_ca_topic_score_gemma":0.0000023756015,"teacher_disagreement_score":0.8826311,"about_ca_system_score_codex":0.00016037787,"about_ca_system_score_gemma":0.0006227971,"threshold_uncertainty_score":0.99973947},"labels":[],"label_agreement":null},{"id":"W2589460910","doi":"","title":"Generating confidence intervals for spatial simulations - Determining the number of replications for spatial terminating simulations","year":2005,"lang":"en","type":"article","venue":"Congress on Modelling and Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Parks Canada","funders":"","keywords":"Normalization property; Statistics; Confidence interval; Computer science; Mathematics","score_opus":0.16588789586113767,"score_gpt":0.45090497112800837,"score_spread":0.2850170752668707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589460910","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":[0.32349932,0.000011044264,0.67458564,0.0004180327,0.000100844794,0.0010538261,0.00021763094,0.000051356696,0.00006234252],"genre_scores_gemma":[0.9615192,0.0000027612828,0.03726761,0.00019121925,0.00033801273,0.00018062016,0.00011407536,0.00003118547,0.00035535466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972074,0.00011585808,0.0012970688,0.000621188,0.0005106634,0.0002478008],"domain_scores_gemma":[0.98545265,0.011360982,0.00080722687,0.0006972946,0.001603549,0.00007830043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011899297,0.00022163709,0.00033981624,0.00018890586,0.0010654797,0.0002880073,0.0003739056,0.0001410496,0.000053071322],"category_scores_gemma":[0.0025960135,0.00017585933,0.00016825034,0.00027975612,0.00013661581,0.0003739263,0.00006042036,0.00012900324,0.0000042590846],"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":[0.00003204538,0.000049599475,0.0028619112,0.000008138242,0.000009918267,1.5136996e-8,0.00041178896,0.91654724,0.00022038806,0.0033522751,0.000036799538,0.076469906],"study_design_scores_gemma":[0.00068169506,0.000058089183,0.0005141511,0.000051454695,0.00004502668,4.7149933e-7,0.000048826867,0.9765118,0.0014355739,0.017380048,0.003078412,0.00019450249],"about_ca_topic_score_codex":0.000041655847,"about_ca_topic_score_gemma":0.00005541689,"teacher_disagreement_score":0.63801986,"about_ca_system_score_codex":0.000040599418,"about_ca_system_score_gemma":0.00005251686,"threshold_uncertainty_score":0.8194916},"labels":[],"label_agreement":null},{"id":"W2591963023","doi":"10.5705/ss.202015.0199","title":"Composite $T^2$ test for high-dimensional data","year":2017,"lang":"en","type":"article","venue":"Statistica Sinica","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Composite number; Test (biology); Computer science; Geology; Algorithm","score_opus":0.34192179901794323,"score_gpt":0.5277443372598961,"score_spread":0.18582253824195288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591963023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004565696,0.000025753778,0.95395,0.014609817,0.0003974235,0.0008799182,0.015778797,0.00015370123,0.0096389325],"genre_scores_gemma":[0.76272875,0.0000020183863,0.2347243,0.00030072028,0.00010297105,0.00003099386,0.00029542507,0.00001039969,0.0018044403],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998127,0.000029865485,0.00051355193,0.0005853892,0.0005646975,0.00017953331],"domain_scores_gemma":[0.988667,0.0071564503,0.00036635913,0.0033306216,0.00036965747,0.0001099075],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0012065296,0.00009997497,0.00021196104,0.000052917967,0.000977893,0.0005432385,0.0023084367,0.000050450235,0.0005639734],"category_scores_gemma":[0.012095368,0.00007834423,0.000035949488,0.0000729821,0.00026001586,0.00027369533,0.00061342295,0.0000731169,0.00034366336],"study_design_candidate":"not_applicable","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":[0.00003693269,0.00017294986,0.003551734,0.000003419093,0.000014233298,0.0000028310444,0.0000166734,0.000022340813,0.0008966391,0.26375777,0.5673177,0.16420674],"study_design_scores_gemma":[0.0006177779,0.00009942963,0.1246653,0.000011761153,0.000029170047,0.0000030992449,0.000009077905,0.053005084,0.00039010175,0.5463971,0.274563,0.00020910117],"about_ca_topic_score_codex":0.0000543629,"about_ca_topic_score_gemma":0.000025168716,"teacher_disagreement_score":0.75816303,"about_ca_system_score_codex":0.000011104901,"about_ca_system_score_gemma":0.000078032645,"threshold_uncertainty_score":0.9962262},"labels":[],"label_agreement":null},{"id":"W2593744501","doi":"10.1007/978-3-319-26470-7","title":"Simulation and Modeling Methodologies, Technologies and Applications","year":2015,"lang":"en","type":"book","venue":"Advances in intelligent systems and computing","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Set (abstract data type); Systems engineering; Management science; Data science; Engineering; Programming language","score_opus":0.28447100753500226,"score_gpt":0.4833341849701442,"score_spread":0.19886317743514192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593744501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025703164,0.066146255,0.92098486,0.000044978875,0.000108297645,0.00092405593,0.00001289662,0.00022632918,0.011295296],"genre_scores_gemma":[0.9246352,0.010967105,0.04368366,0.000054113338,0.00037796114,0.00028574857,0.000041887673,0.000070884205,0.019883476],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745035,0.00010914551,0.0010293853,0.0007727498,0.00044215852,0.00019621379],"domain_scores_gemma":[0.9951522,0.0035163611,0.00048780834,0.0004523391,0.00033246182,0.000058862603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024249523,0.00025707975,0.0005602725,0.00044812213,0.00020159468,0.00027176653,0.0003247464,0.00029748245,0.0000015472791],"category_scores_gemma":[0.00083982345,0.00021168929,0.00003425984,0.0002879231,0.00018066942,0.00024123868,0.00043258743,0.00030226083,0.0000041660105],"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":[0.0000028010827,0.0000041390695,0.00020528809,0.00004577167,0.0000045772363,4.2169728e-7,0.00011758102,0.4629083,6.308214e-7,0.047991414,0.00005781574,0.48866126],"study_design_scores_gemma":[0.000043458283,0.000016567648,0.000003053624,0.00013983865,0.0000071826958,0.000005029811,0.0013458706,0.5861087,0.0000018266566,0.26791748,0.1442573,0.00015370455],"about_ca_topic_score_codex":0.000023541776,"about_ca_topic_score_gemma":0.000012957431,"teacher_disagreement_score":0.92437816,"about_ca_system_score_codex":0.00008732532,"about_ca_system_score_gemma":0.000051243445,"threshold_uncertainty_score":0.8632439},"labels":[],"label_agreement":null},{"id":"W2594426165","doi":"","title":"New error-correcting pooling designs with singular linear space.","year":2017,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Pooling; Space (punctuation); Applied mathematics; Statistics; Artificial intelligence; Computer science","score_opus":0.13149103362305323,"score_gpt":0.40561183316433363,"score_spread":0.27412079954128044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594426165","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":[0.8603573,0.00005899411,0.11672676,0.002313504,0.0012020317,0.00047926002,0.0000022725724,0.00032312938,0.018536761],"genre_scores_gemma":[0.9697992,0.0000017757775,0.027109953,0.000073821786,0.000039811366,0.0000103326065,0.0000014176259,0.00002160865,0.0029420545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982215,0.00005050183,0.0003418491,0.0004382007,0.0007012071,0.0002467527],"domain_scores_gemma":[0.99718857,0.0004860845,0.00042535746,0.0014168759,0.00031367326,0.0001694157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010265239,0.00014752235,0.00022219837,0.00011376345,0.0010696603,0.00062454294,0.0010191464,0.000085142645,0.00014608816],"category_scores_gemma":[0.0014857173,0.00011407234,0.00007472565,0.00029024508,0.00007265498,0.0004050991,0.00015906672,0.00017868119,0.0002002315],"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":[0.00005616892,0.00013882933,0.07060714,0.000003203816,0.000039580627,0.000021173046,0.0007742289,0.0008041675,0.0012958385,0.8120726,0.019215988,0.09497113],"study_design_scores_gemma":[0.000999093,0.00012704058,0.012704026,0.00004493209,0.000024945224,0.000015909882,0.00029100533,0.008941486,0.014926476,0.9330159,0.028560583,0.0003486476],"about_ca_topic_score_codex":0.00025928853,"about_ca_topic_score_gemma":0.000019103765,"teacher_disagreement_score":0.12094331,"about_ca_system_score_codex":0.00003676886,"about_ca_system_score_gemma":0.00012342562,"threshold_uncertainty_score":0.82270706},"labels":[],"label_agreement":null},{"id":"W2600825956","doi":"10.26421/qic12.11-12-1","title":"Hamiltonian simulation using linear combinations of unitary operations","year":2012,"lang":"en","type":"article","venue":"Quantum Information and Computation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":394,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Army Research Office; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Unitary state; Hamiltonian (control theory); Unitary transformation; Computer science; Mathematics; Unitary matrix; Algorithm; Applied mathematics; Mathematical optimization; Quantum; Quantum mechanics; Physics","score_opus":0.16179751443489404,"score_gpt":0.4465181793535156,"score_spread":0.2847206649186216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600825956","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":[0.43207234,0.000026520094,0.5668984,0.00017249116,0.00008327299,0.00021425945,0.000019186915,0.000049040234,0.00046448453],"genre_scores_gemma":[0.98551357,0.0000070531332,0.014084555,0.00022082581,0.000034558216,0.000010887863,0.00010098959,0.000005368266,0.000022207092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825114,0.00009452475,0.00089218136,0.00009902372,0.0005250222,0.00013810594],"domain_scores_gemma":[0.99821854,0.00041686418,0.00029156703,0.00019241088,0.0007862281,0.00009437539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097148353,0.000101968806,0.00015445935,0.00047226535,0.00032362848,0.000109701505,0.00012344835,0.00007430768,0.000051186064],"category_scores_gemma":[0.00038413255,0.000092120674,0.000048969767,0.0008195889,0.000068369,0.0027708048,0.000047839905,0.000075781056,0.00005577869],"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":[0.000007945841,0.000120434175,0.0039892774,0.000008338783,0.000007636048,1.8781547e-8,0.002111736,0.83090866,0.00012074652,0.125309,0.00015683111,0.037259396],"study_design_scores_gemma":[0.00033231205,0.00002916129,0.02008668,0.000007943874,0.0000110274705,0.0000027483197,0.000825885,0.96704,0.00013943604,0.0073755668,0.0040482543,0.00010096303],"about_ca_topic_score_codex":0.000059713922,"about_ca_topic_score_gemma":0.0000030729398,"teacher_disagreement_score":0.5534412,"about_ca_system_score_codex":0.000032412725,"about_ca_system_score_gemma":0.000048099097,"threshold_uncertainty_score":0.3756572},"labels":[],"label_agreement":null},{"id":"W2611943955","doi":"10.1002/cpe.4149","title":"Semi‐asynchronous approximate parallel DEVS simulation of web search engines","year":2017,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"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; Universidad de Santiago de Chile","keywords":"DEVS; Computer science; Asynchronous communication; Discrete event simulation; Distributed computing; Formalism (music); Parallel computing; Modeling and simulation; Simulation","score_opus":0.13975653021478618,"score_gpt":0.47950619188193294,"score_spread":0.33974966166714676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611943955","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":[0.49082953,0.00038541926,0.5058314,0.0006231221,0.00008327568,0.00021994919,0.0000070478245,0.000034610424,0.0019856037],"genre_scores_gemma":[0.99410164,0.00020193186,0.0055020596,0.00007271171,0.000031205374,0.000027068956,0.000004182073,0.0000044618764,0.00005476016],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998614,0.00008398554,0.0004281859,0.0003410986,0.00040974506,0.00012299912],"domain_scores_gemma":[0.9971448,0.0014768024,0.0004432324,0.00034319996,0.0005147361,0.00007721749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007339615,0.00010225947,0.00017102157,0.000088897745,0.00060394057,0.00040094438,0.00027442817,0.0000559766,0.00003398038],"category_scores_gemma":[0.0018105045,0.000086612024,0.000026972466,0.00014725931,0.00027994916,0.0014246313,0.0001330153,0.000089209345,0.000008193485],"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":[0.00009666657,0.0001655394,0.012888419,0.000039497816,0.00001826762,0.0000033735162,0.015176389,0.06254699,0.001277642,0.03342217,0.00019675176,0.8741683],"study_design_scores_gemma":[0.00037703008,0.00006977625,0.0077070817,0.000021115198,0.0000110754945,0.0000102898175,0.0032525423,0.9746071,0.00052926905,0.0072498755,0.0060180994,0.00014675499],"about_ca_topic_score_codex":0.00003058669,"about_ca_topic_score_gemma":0.0000015097429,"teacher_disagreement_score":0.9120601,"about_ca_system_score_codex":0.0000067528085,"about_ca_system_score_gemma":0.00005359063,"threshold_uncertainty_score":0.46450835},"labels":[],"label_agreement":null},{"id":"W2612047037","doi":"","title":"Comparing Simulation Methods for Fire Spreading Across a Fuel Bed","year":2002,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":20,"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; Computer science; Java; Implementation; Distributed computing; Simulation modeling; Simulation; Parallel computing; Modeling and simulation; Programming language","score_opus":0.5077581988847901,"score_gpt":0.60315020019935,"score_spread":0.09539200131455983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612047037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020684836,0.00016628247,0.9699411,0.0003786252,0.00028818168,0.0014546637,0.000060638602,0.00041482074,0.006610872],"genre_scores_gemma":[0.66760665,0.000009788592,0.3278795,0.00011026919,0.00012906754,0.00028121498,0.000035184217,0.000022457096,0.0039259125],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967016,0.00017532537,0.0011887439,0.0010081398,0.00058520347,0.0003409714],"domain_scores_gemma":[0.9914926,0.005711479,0.00062396313,0.0013348726,0.0007154517,0.000121608384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037689926,0.00028573835,0.0006234547,0.00016892268,0.00034860158,0.0008393262,0.0010939294,0.00038411975,0.0006463735],"category_scores_gemma":[0.0022036878,0.00023857456,0.00040596107,0.00048250688,0.00006276878,0.00018282849,0.0009050608,0.0003210914,0.000089399255],"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":[0.000018769568,0.00008455871,0.0026631518,0.000054758137,0.000033971603,1.9625752e-7,0.0012948296,0.4337097,0.00016668662,0.0053539304,0.0038152833,0.5528042],"study_design_scores_gemma":[0.00016148087,0.00000916736,0.0008017705,0.000023778457,0.000012577762,3.755596e-7,0.0001298665,0.78242886,0.0006875439,0.16522977,0.050286345,0.0002284601],"about_ca_topic_score_codex":0.000066677436,"about_ca_topic_score_gemma":0.000016199387,"teacher_disagreement_score":0.6469218,"about_ca_system_score_codex":0.000098392324,"about_ca_system_score_gemma":0.000030185383,"threshold_uncertainty_score":0.9728788},"labels":[],"label_agreement":null},{"id":"W2612174497","doi":"","title":"Reference Counting for Linear Counter-Model Generation","year":2003,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Computer science","score_opus":0.13634313077472354,"score_gpt":0.36546682366651945,"score_spread":0.2291236928917959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612174497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030373264,0.0002462704,0.92546946,0.0053403256,0.00018328746,0.0010507656,0.00030750362,0.00025831893,0.03677081],"genre_scores_gemma":[0.64692974,0.00018606614,0.32490355,0.00042574218,0.00007052636,0.00050909654,0.00096943,0.000062616375,0.025943251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9936905,0.0021518173,0.0012920628,0.0013554208,0.0011300924,0.00038010656],"domain_scores_gemma":[0.9838319,0.0031844757,0.0011678635,0.0031458733,0.008496843,0.00017306062],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.015560723,0.00037523004,0.0004905651,0.0003025607,0.0007047753,0.0010434389,0.0019435849,0.00046500945,0.00021600454],"category_scores_gemma":[0.0067417277,0.0003661316,0.00029305537,0.00055131014,0.00018102741,0.00024658066,0.000756576,0.00054852624,0.000082377854],"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":[0.00002351217,0.0008199324,0.0013442027,0.00012411547,0.00008180871,9.410923e-7,0.0046427664,0.01924772,0.013368868,0.8169395,0.05773747,0.085669205],"study_design_scores_gemma":[0.000304293,3.636472e-7,0.00014488147,0.00022692922,0.000030155048,0.0000021518636,0.00005567116,0.8192671,0.019441787,0.069124654,0.090995,0.00040699344],"about_ca_topic_score_codex":0.00018478342,"about_ca_topic_score_gemma":0.00047349266,"teacher_disagreement_score":0.8000194,"about_ca_system_score_codex":0.0001502207,"about_ca_system_score_gemma":0.00049584586,"threshold_uncertainty_score":0.99999356},"labels":[],"label_agreement":null},{"id":"W2613393281","doi":"10.21535/proicius.2014.v10.289","title":"Development of Multi-Purpose Reconfigurable Engineering Flight Simulator at Ryerson University","year":2014,"lang":"en","type":"article","venue":"Proceedings of International Conference on Intelligent Unmanned Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cockpit; Flight simulator; Flight management system; Flight training; Simulation; Engineering; Reconfigurability; Overhead (engineering); Systems engineering; Computer science; Aerospace engineering; Operating system","score_opus":0.1355181023330491,"score_gpt":0.34356051839217583,"score_spread":0.20804241605912674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613393281","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":[0.848238,0.000030874664,0.0928509,0.0003180733,0.00070734,0.000865851,0.000051437444,0.00015483574,0.0567827],"genre_scores_gemma":[0.990618,0.000014497094,0.0038783606,0.00001119821,0.00003935547,0.00001268239,0.000008117098,0.000011798557,0.0054059834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751884,0.00001383722,0.0009377446,0.00041863462,0.00094434177,0.00016660478],"domain_scores_gemma":[0.99662846,0.00026462748,0.00073399796,0.00017536874,0.002093113,0.00010441766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011457421,0.00017465129,0.00033802926,0.000521977,0.00009855776,0.00008943647,0.0009534564,0.000102645405,0.00029207297],"category_scores_gemma":[0.00057962263,0.0001554216,0.000105736144,0.0003459221,0.000048371265,0.00021712121,0.00010263189,0.00010439537,0.000108246524],"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":[0.00022395705,0.00032296375,0.005863618,0.00010583298,0.00012454286,4.395644e-7,0.0023552454,0.008856776,0.13340732,0.8371532,0.0012709338,0.010315147],"study_design_scores_gemma":[0.00037785852,0.00010161406,0.0007396128,0.0003425026,0.000009665405,0.0000026424634,0.002484101,0.5080307,0.34061503,0.0005364337,0.14648214,0.0002776663],"about_ca_topic_score_codex":0.000021450594,"about_ca_topic_score_gemma":0.0000045186503,"teacher_disagreement_score":0.83661675,"about_ca_system_score_codex":0.000195183,"about_ca_system_score_gemma":0.000044394656,"threshold_uncertainty_score":0.6337909},"labels":[],"label_agreement":null},{"id":"W2618674681","doi":"","title":"Open Source ETD Submission Software: An Update on the Weller ETD Project","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Northern British Columbia","funders":"","keywords":"Computer science; Software; Open source software; World Wide Web; Database; Programming language","score_opus":0.19429953817085807,"score_gpt":0.43808978302282825,"score_spread":0.24379024485197018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618674681","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":[0.3132507,0.000020906133,0.3177346,0.081349894,0.00018731527,0.00753132,0.000017547238,0.0011293472,0.27877837],"genre_scores_gemma":[0.90646833,0.000006979734,0.014639643,0.007816344,0.0000653267,0.00039737477,0.0000102283775,0.000021792906,0.07057398],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980918,0.00017878189,0.00038107476,0.00046667384,0.00069661415,0.00018504128],"domain_scores_gemma":[0.99740255,0.00085659674,0.0001397381,0.001254412,0.00024985368,0.00009685766],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001619611,0.00012074515,0.00013686981,0.00010159278,0.0004398655,0.0012025279,0.002112351,0.00007378963,0.015819063],"category_scores_gemma":[0.00061275036,0.000056462362,0.000058807167,0.0006333274,0.000058879617,0.0005615393,0.00046575654,0.00013423915,0.004803517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009244769,0.000103990256,0.00088057056,3.726932e-7,0.0000031743232,1.3192295e-7,0.00018672863,0.00011421465,0.00020970545,0.0325597,0.74545205,0.22048011],"study_design_scores_gemma":[0.00012163426,0.00006130925,0.0037818102,0.0000048342376,0.000002219561,0.0000010971008,0.00035735956,0.0097690215,0.002559471,0.06930523,0.91389716,0.00013884217],"about_ca_topic_score_codex":0.00041404145,"about_ca_topic_score_gemma":0.000019028274,"teacher_disagreement_score":0.5932176,"about_ca_system_score_codex":0.000015922415,"about_ca_system_score_gemma":0.000054112577,"threshold_uncertainty_score":0.9998343},"labels":[],"label_agreement":null},{"id":"W2652483374","doi":"10.22215/etd/2011-10192","title":"Parallel simulation techniques for large-scale discrete-event models","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Event (particle physics); Scale (ratio); Computer science; Humanities; Physics; Cartography; Geography; Art","score_opus":0.12916092585480138,"score_gpt":0.4537147140396075,"score_spread":0.3245537881848061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2652483374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008452226,0.00006344873,0.92359245,0.00009341701,0.00016777961,0.0022392024,0.00018066083,0.0004948218,0.07232298],"genre_scores_gemma":[0.66499025,0.00004629097,0.14405861,0.00024797456,0.00022534168,0.0022109945,0.0022068815,0.00010171275,0.18591191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99639654,0.00006229858,0.0012782457,0.0009282777,0.0009792745,0.00035538053],"domain_scores_gemma":[0.99623334,0.00073297706,0.0007160874,0.0010869338,0.0011009212,0.00012975461],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00137302,0.0003618969,0.0005245756,0.00044428254,0.00033636775,0.00022510483,0.00091459125,0.00055125897,0.0010472299],"category_scores_gemma":[0.00025868727,0.00027900242,0.00048145815,0.00046923352,0.000021045396,0.0004721414,0.000059778147,0.00019718031,0.00010611676],"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":[0.0007072556,0.0008426157,0.0002490341,0.00010975385,0.000106708176,9.2430525e-7,0.0044726073,0.061463483,0.00028553538,0.6151276,0.06526317,0.2513713],"study_design_scores_gemma":[0.00017189057,0.000061655686,0.00017197226,0.000028591154,0.000036554746,2.0060095e-7,0.00068366714,0.37809104,0.0017547919,0.5316834,0.086964585,0.0003516919],"about_ca_topic_score_codex":0.000045120298,"about_ca_topic_score_gemma":0.0003312115,"teacher_disagreement_score":0.77953386,"about_ca_system_score_codex":0.000047882244,"about_ca_system_score_gemma":0.000094841365,"threshold_uncertainty_score":0.9999662},"labels":[],"label_agreement":null},{"id":"W267148968","doi":"","title":"Proceedings of the 2008 Spring Simulation Multiconference, SpringSim 2008, Ottawa, Canada, April 14-17, 2008","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Computer science; Environmental science; Operations research; Engineering; Mechanical engineering","score_opus":0.08639774180687804,"score_gpt":0.33996921380330586,"score_spread":0.2535714719964278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W267148968","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":[0.9540021,0.00007469868,0.04028034,0.00046315466,0.00035450808,0.001335446,0.000042189837,0.00023982204,0.003207734],"genre_scores_gemma":[0.99060136,0.000019766034,0.0067000836,0.00021082722,0.00015487293,0.000058109894,0.000004774628,0.000055467197,0.0021947622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9932271,0.000109834975,0.0021435646,0.00115498,0.0026403922,0.0007240973],"domain_scores_gemma":[0.9915613,0.0022223056,0.0014882468,0.001297752,0.0031169953,0.00031340885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011961156,0.0005545194,0.0007219003,0.000459927,0.0010680384,0.00024446836,0.0018370074,0.00029954192,0.0004362364],"category_scores_gemma":[0.003972668,0.00045262763,0.00028923913,0.0017064812,0.00043020042,0.00083980046,0.0004573711,0.00058335805,0.00007295902],"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":[0.000024223878,0.00011364667,0.33339122,0.000020294594,0.000023848082,0.0000023101604,0.0004993367,0.6549875,0.0032888327,0.0026185117,0.00054840714,0.0044818525],"study_design_scores_gemma":[0.0005157705,0.00002019472,0.3613622,0.00007952103,0.000023461422,0.000002970009,0.000175576,0.61620176,0.0068028765,0.0005987638,0.0138098,0.00040708724],"about_ca_topic_score_codex":0.0638013,"about_ca_topic_score_gemma":0.02354282,"teacher_disagreement_score":0.040258486,"about_ca_system_score_codex":0.0002990764,"about_ca_system_score_gemma":0.0008314466,"threshold_uncertainty_score":0.9997926},"labels":[],"label_agreement":null},{"id":"W2717244153","doi":"","title":"Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium","year":2011,"lang":"en","type":"article","venue":"","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":"McGill University; Carleton University","funders":"","keywords":"DEVS; Computer science; Modeling and simulation; Bridging (networking); Standardization; Software engineering; Management science; Field (mathematics); Systems engineering; Simulation; Engineering","score_opus":0.1476553420567576,"score_gpt":0.3680272420018099,"score_spread":0.22037189994505232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2717244153","genre_codex":"other","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":[0.3914903,0.000012488053,0.18730424,0.00068232714,0.00010874648,0.0008253709,0.000015136211,0.00009667593,0.4194647],"genre_scores_gemma":[0.9935491,0.0000035924193,0.0025660875,0.00012784598,0.00001873342,0.000022577318,4.2304052e-7,0.000008748045,0.0037028738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824077,0.000037438036,0.00068759784,0.0002855496,0.00063991937,0.000108704364],"domain_scores_gemma":[0.997425,0.0005916973,0.0003765655,0.00040313476,0.0011639007,0.000039669532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011801235,0.00012009331,0.00020837225,0.00015457673,0.000103952654,0.000024962474,0.00074588106,0.0000767504,0.0007327779],"category_scores_gemma":[0.00024642982,0.000061338105,0.00015033675,0.00049779925,0.0001346607,0.00022211083,0.00011996628,0.00010188543,0.000035895893],"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":[0.00009377672,0.00016437915,0.0030739242,0.000005178614,0.000016207747,2.9555657e-8,0.004486052,0.029526968,0.007975026,0.9519014,0.0007632997,0.0019937744],"study_design_scores_gemma":[0.00017805622,0.00014291293,0.001252757,0.00004647699,0.000023032962,6.27521e-7,0.0031088653,0.41571808,0.1697387,0.40915975,0.0004834712,0.00014727906],"about_ca_topic_score_codex":0.000030943058,"about_ca_topic_score_gemma":0.0000024941055,"teacher_disagreement_score":0.6020588,"about_ca_system_score_codex":0.000017438613,"about_ca_system_score_gemma":0.00003598424,"threshold_uncertainty_score":0.8023404},"labels":[],"label_agreement":null},{"id":"W2725057776","doi":"10.1002/9781119288091.ch2","title":"An Index to the Body of Knowledge of Simulation Systems Engineering","year":2017,"lang":"en","type":"other","venue":"","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":"University of Ottawa","funders":"","keywords":"Ontology; Index (typography); Computer science; Ontology engineering; Representation (politics); Entertainment; Process (computing); Knowledge representation and reasoning; Data science; Information retrieval; Process ontology; World Wide Web; Artificial intelligence; Epistemology; Programming language","score_opus":0.08638512159214438,"score_gpt":0.4432065784660046,"score_spread":0.3568214568738602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725057776","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":[0.00013135112,0.0001272338,0.68282527,0.000028120578,0.00017679748,0.0006475008,0.000042616797,0.00009663808,0.31592447],"genre_scores_gemma":[0.77590823,0.0000025493302,0.00047120065,0.0000042503516,0.000119722,0.000022716527,0.0000026700143,0.000042915035,0.22342575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893475,0.000034063884,0.0003782164,0.00021481315,0.00036640035,0.00007176009],"domain_scores_gemma":[0.99750197,0.00036430827,0.0004410886,0.0014040205,0.00024357204,0.000045070672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075385097,0.00009960813,0.0002597293,0.00034119465,0.000037072205,0.000059158607,0.0009528358,0.00013279903,0.00042040148],"category_scores_gemma":[0.00033447394,0.000058911995,0.00006079055,0.00024841866,0.000025812113,0.000047099384,0.000066111665,0.00005229561,0.00006219687],"study_design_candidate":"not_applicable","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":[0.000006110136,0.000107362415,0.0010068243,0.00005400861,0.000035956404,8.990463e-8,0.0002810685,0.5709811,0.0006120668,0.021290379,0.38318714,0.022437887],"study_design_scores_gemma":[0.00003217098,0.000015937241,0.0006984318,0.0000549389,0.0000044304816,6.6182274e-8,0.000021574608,0.31899896,0.00010537504,0.00007854451,0.6799301,0.000059477523],"about_ca_topic_score_codex":0.0002840933,"about_ca_topic_score_gemma":0.000050405844,"teacher_disagreement_score":0.77577686,"about_ca_system_score_codex":0.000009414787,"about_ca_system_score_gemma":0.00002853822,"threshold_uncertainty_score":0.46031013},"labels":[],"label_agreement":null},{"id":"W2734441105","doi":"","title":"Acceleration of Iterative Methods for Markov Decision Processes","year":2010,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Acceleration; Computer science; Markov decision process; Markov process; Mathematics; Statistics; Physics; Classical mechanics","score_opus":0.0782260848384816,"score_gpt":0.4606728817163618,"score_spread":0.3824467968778802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734441105","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":[0.08488147,0.0006273587,0.85437363,0.0002613249,0.00040405148,0.001591308,0.00015817654,0.000074393436,0.05762831],"genre_scores_gemma":[0.4017305,0.00021415348,0.57268953,0.000009999802,0.00004645886,0.000007718388,0.0003049636,0.000020266481,0.024976406],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984217,0.00008918482,0.00037765084,0.0004564324,0.00052962656,0.00012539203],"domain_scores_gemma":[0.9937588,0.0019826563,0.0010851554,0.0005468944,0.0025602952,0.000066230896],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010743756,0.00017628269,0.00049555715,0.00016432171,0.00023265328,0.000049414775,0.0008059877,0.00038424143,0.008433157],"category_scores_gemma":[0.0013455821,0.00017873892,0.00022059739,0.0002871565,0.00007001582,0.0006268421,0.000056989422,0.00012995112,0.000005726958],"study_design_candidate":"design_other","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":[0.00038955928,0.00008545272,0.00005511092,0.00009304164,0.00003081848,1.4144194e-7,0.008854133,0.000017060805,0.011025856,0.0019288618,0.0022943807,0.97522557],"study_design_scores_gemma":[0.0048297807,0.0017241946,0.25818023,0.0010601965,0.0009781241,0.000003943391,0.16453116,0.027811013,0.1916649,0.08887032,0.25774643,0.002599721],"about_ca_topic_score_codex":0.003619391,"about_ca_topic_score_gemma":0.032330927,"teacher_disagreement_score":0.97262585,"about_ca_system_score_codex":0.000069995964,"about_ca_system_score_gemma":0.0002497579,"threshold_uncertainty_score":0.99247324},"labels":[],"label_agreement":null},{"id":"W2746233697","doi":"10.1177/0037549717718258","title":"Practical aspects of the DesignDEVS simulation environment","year":2017,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Autodesk (Canada)","funders":"","keywords":"DEVS; Computer science; Formalism (music); Scalability; Enforcement; Software engineering; Discrete event simulation; Modeling and simulation; Best practice; Systems engineering; Management science; Risk analysis (engineering); Simulation; Engineering","score_opus":0.3051198129329445,"score_gpt":0.5032138521609553,"score_spread":0.19809403922801078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746233697","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":[0.11801502,0.0000072801568,0.86191225,0.002676537,0.0001630008,0.0007202861,0.000009262214,0.000048357855,0.016448015],"genre_scores_gemma":[0.9962582,0.0000012170675,0.0030596554,0.00006055763,0.00006850179,0.000010589075,0.0000019191518,0.000008562874,0.00053082226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979937,0.000119460135,0.00050414616,0.00027987905,0.0009870821,0.000115706265],"domain_scores_gemma":[0.9957846,0.0016454731,0.00078353076,0.001544171,0.00019739801,0.00004486556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010748734,0.00009226682,0.00013898882,0.00006595928,0.00063094933,0.00018929335,0.00056802767,0.00008572114,0.0003776221],"category_scores_gemma":[0.0036134894,0.000060616007,0.00011102816,0.00012688963,0.000153206,0.000479871,0.00016924339,0.000093389695,0.0001259636],"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":[0.000012819553,0.000048408358,0.0094588185,0.0000011130245,0.0000043529735,1.8030818e-7,0.000073520816,0.94224066,0.0006325816,0.031069765,0.00014139195,0.016316386],"study_design_scores_gemma":[0.00016773048,0.000017149507,0.16300057,0.0000051927505,0.000010569406,2.9523554e-7,0.000021522745,0.715435,0.0030359563,0.10750608,0.01073179,0.000068107714],"about_ca_topic_score_codex":0.000013969842,"about_ca_topic_score_gemma":0.000003931855,"teacher_disagreement_score":0.87824315,"about_ca_system_score_codex":0.000044151115,"about_ca_system_score_gemma":0.000047441135,"threshold_uncertainty_score":0.4852816},"labels":[],"label_agreement":null},{"id":"W2751186152","doi":"10.1177/0037549717726595","title":"Increasing the performance of a Discrete Event System Specification simulator by means of computational resource usage “activity” models","year":2017,"lang":"en","type":"article","venue":"SIMULATION","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":"McGill University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Rotation formalisms in three dimensions; Benchmark (surveying); Domain (mathematical analysis); Event (particle physics); Set (abstract data type); Formalism (music); Simulation; Distributed computing; Modeling and simulation; Programming language","score_opus":0.09933252909560539,"score_gpt":0.39290347141837845,"score_spread":0.29357094232277303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751186152","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":[0.65430933,0.000014489636,0.34381947,0.00018191637,0.000025518666,0.00036480746,0.000050695322,0.000028678378,0.0012050905],"genre_scores_gemma":[0.9985326,0.0000019117495,0.0012166818,0.000011223132,0.000043407967,0.000015521142,0.000021999333,0.000012862783,0.00014379871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740726,0.0002272243,0.0007840029,0.00031705335,0.0011366528,0.00012781285],"domain_scores_gemma":[0.9950683,0.0017993209,0.0014478791,0.0011121265,0.0005248814,0.000047480877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023882946,0.00012483001,0.00025073835,0.0001208671,0.0006306836,0.00014023774,0.00071930495,0.000075690594,0.000022874927],"category_scores_gemma":[0.00049207563,0.000089122994,0.00011510349,0.00025488492,0.00018610091,0.0006580833,0.00011190758,0.000093514645,0.000008596549],"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":[0.00006583478,0.00003289783,0.0048971144,0.000012438746,0.000007927809,3.3839573e-8,0.00023218425,0.97992367,0.0012871306,0.0043119066,0.00005690509,0.009171956],"study_design_scores_gemma":[0.0002441877,0.000032912463,0.037029374,0.000047683283,0.000014785234,7.050974e-7,0.00013285012,0.955007,0.0025380768,0.004135892,0.0007290688,0.00008745882],"about_ca_topic_score_codex":0.000086763524,"about_ca_topic_score_gemma":0.000002917802,"teacher_disagreement_score":0.34422326,"about_ca_system_score_codex":0.000069246606,"about_ca_system_score_gemma":0.000039827984,"threshold_uncertainty_score":0.48507723},"labels":[],"label_agreement":null},{"id":"W2752373371","doi":"10.1109/wsc.2016.7822195","title":"Agile design meets hybrid models: Using modularity to enhance hybrid model design and use","year":2016,"lang":"en","type":"article","venue":"2016 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Saskatchewan","funders":"","keywords":"Computer science; Agile software development; Modularity (biology); Key (lock); Systems engineering; Software engineering; System dynamics; Focus (optics); Hybrid system; Distributed computing; Artificial intelligence; Engineering; Machine learning","score_opus":0.353258942843043,"score_gpt":0.4306897061238781,"score_spread":0.07743076328083509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752373371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07827668,0.000018878382,0.91931766,0.0008571503,0.00008610295,0.0010369183,0.000073279276,0.0001856636,0.00014768784],"genre_scores_gemma":[0.8309012,0.000014393126,0.16673423,0.00039660474,0.0000481701,0.000060840903,0.000003377817,0.000030646,0.0018105016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99629307,0.00035652146,0.0009197721,0.0011143427,0.0008869045,0.00042941864],"domain_scores_gemma":[0.9945761,0.0023525213,0.00033883136,0.0011300283,0.0012761469,0.00032637364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001671504,0.00034151843,0.00041735196,0.00038195797,0.00029326114,0.00060183235,0.00070442527,0.000103057995,0.00031791336],"category_scores_gemma":[0.001112999,0.0002422401,0.00010815053,0.00031958392,0.00014238608,0.0021894807,0.0002846526,0.000120047385,0.00016852758],"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":[0.000086970984,0.000043996937,0.00008020438,0.000001694314,0.000009753948,0.0000015066103,0.00017418546,0.93141925,0.012522695,0.0018411239,0.0016724088,0.052146222],"study_design_scores_gemma":[0.000245849,0.00005203475,0.00007224089,0.000082558276,0.000013866075,0.0000035994622,0.000011728371,0.8518389,0.02414359,0.121941745,0.0012699538,0.00032397488],"about_ca_topic_score_codex":0.000040283598,"about_ca_topic_score_gemma":0.000003980457,"teacher_disagreement_score":0.7526246,"about_ca_system_score_codex":0.00011741747,"about_ca_system_score_gemma":0.00019674508,"threshold_uncertainty_score":0.98782647},"labels":[],"label_agreement":null},{"id":"W2752666893","doi":"10.1007/s11004-017-9703-0","title":"Erratum to: Which Path to Choose in Sequential Gaussian Simulation","year":2017,"lang":"en","type":"erratum","venue":"Mathematical Geosciences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Hydrogeology; Gaussian; Path (computing); Geology; Statistical physics; Econometrics; Applied mathematics; Computer science; Statistics; Mathematics; Geotechnical engineering; Physics; Chemistry; Computational chemistry","score_opus":0.13379429104954232,"score_gpt":0.45143352429949163,"score_spread":0.3176392332499493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752666893","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077038947,0.00008555267,0.30969608,0.019636927,0.018070452,0.005111601,0.0003162572,0.0005122736,0.63886696],"genre_scores_gemma":[0.45602673,0.000010414933,0.018030763,0.0010583932,0.0011284831,0.00045789225,0.000047059177,0.000059308786,0.52318096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9927646,0.0001799469,0.0015347061,0.0015409234,0.003248858,0.000731002],"domain_scores_gemma":[0.99517524,0.00088133075,0.00058794196,0.0021781735,0.00059965043,0.0005776483],"candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004583914,0.00044667424,0.00088319584,0.001061001,0.0006208172,0.0020136111,0.0036671355,0.0005146749,0.0012540297],"category_scores_gemma":[0.0133635895,0.00032536153,0.00019033875,0.0026737265,0.00020722693,0.00048620955,0.00073224737,0.00065144594,0.0028663012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001586492,0.00026358786,0.00022861059,0.000052691506,0.0000062934987,0.000010849743,0.0015362998,0.0033982813,0.000058666454,0.012966417,0.95698285,0.024479613],"study_design_scores_gemma":[0.00014863322,0.0001323961,0.00838517,0.00047692534,0.000017066739,0.000004002689,0.0002726693,0.11744044,0.000030441888,0.37022358,0.50214726,0.0007214123],"about_ca_topic_score_codex":0.00016576082,"about_ca_topic_score_gemma":0.0005028232,"teacher_disagreement_score":0.45483556,"about_ca_system_score_codex":0.00013042158,"about_ca_system_score_gemma":0.00047948124,"threshold_uncertainty_score":0.99991983},"labels":[],"label_agreement":null},{"id":"W2755711740","doi":"10.1162/isal_a_078","title":"A human-in-the-loop environment for developmental biology","year":2017,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Computer science; Process (computing); Pipeline (software); Population; Field (mathematics); Human–computer interaction; Transient (computer programming); Complement (music); Programming language; Biology","score_opus":0.3275734477940075,"score_gpt":0.5048765106633532,"score_spread":0.17730306286934566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755711740","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":[0.6441729,0.000016400272,0.23270755,0.011713546,0.000074979616,0.001539305,0.000023134546,0.00005674476,0.109695405],"genre_scores_gemma":[0.9799993,0.0000012180359,0.013994682,0.00036803365,0.000020324926,0.0001695874,0.0000026969947,0.0000021910037,0.0054419385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934244,0.000017816088,0.00021869343,0.00018656805,0.00014375892,0.00009071525],"domain_scores_gemma":[0.99919707,0.00023490547,0.00008998371,0.00044574527,0.000016297276,0.000015989204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094331737,0.00004260722,0.00006784957,0.00004323107,0.00047073854,0.00013379405,0.00080508814,0.000030948668,0.00056185125],"category_scores_gemma":[0.0001634532,0.000024336532,0.000035961504,0.000028537916,0.000074742304,0.000066263536,0.00007816631,0.000026178071,0.00016887953],"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":[0.000008025828,0.0001932864,0.07441755,0.0000010662717,0.0000067552846,7.2329425e-7,0.00047593366,0.000026288812,0.007155018,0.618185,0.045738302,0.25379205],"study_design_scores_gemma":[0.0003029061,0.00003230015,0.096942104,9.815959e-7,0.0000014707589,0.0000014260419,0.00031340326,0.0003893248,0.0019140962,0.23388423,0.6661322,0.00008556184],"about_ca_topic_score_codex":0.000029879766,"about_ca_topic_score_gemma":0.000034717865,"teacher_disagreement_score":0.6203939,"about_ca_system_score_codex":0.000014654275,"about_ca_system_score_gemma":0.000008701295,"threshold_uncertainty_score":0.61518776},"labels":[],"label_agreement":null},{"id":"W2756724837","doi":"10.1177/0037549717726868","title":"Multiscale representation of simulated time","year":2017,"lang":"en","type":"article","venue":"SIMULATION","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":false,"ca_institutions":"Carleton University; Autodesk (Canada)","funders":"","keywords":"Computer science; Rounding; Representation (politics); Formalism (music); Discrete event simulation; Range (aeronautics); Scheduling (production processes); Time point; Floating point; Algorithm; Theoretical computer science; Simulation; Mathematical optimization; Mathematics","score_opus":0.22350018284177756,"score_gpt":0.5241941593944759,"score_spread":0.30069397655269836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756724837","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":[0.89824337,0.000008747306,0.085753866,0.0004662596,0.000098809054,0.00047770716,0.000022716396,0.000113738955,0.014814775],"genre_scores_gemma":[0.99484354,0.0000010511209,0.0016784165,0.000022648564,0.000053722855,0.0000042929114,0.000017768445,0.0000093740755,0.003369167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982432,0.00006915135,0.0005998071,0.00031026397,0.0006705762,0.00010701529],"domain_scores_gemma":[0.99628705,0.0009914944,0.000718313,0.0013687388,0.00058453775,0.000049896396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006748018,0.00008411258,0.00020015262,0.00015091352,0.00038206956,0.00018931745,0.0005619264,0.00008435328,0.000703524],"category_scores_gemma":[0.0032063825,0.000071574716,0.00010369572,0.00025412266,0.000103383485,0.0005688886,0.000103846614,0.000053739157,0.00038025551],"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":[0.000039932922,0.000069880756,0.04748832,0.0000019809745,0.000009820426,4.9492553e-7,0.00021184944,0.82672054,0.011030874,0.0018370388,0.0006804727,0.11190879],"study_design_scores_gemma":[0.0003074037,0.000017106198,0.15161738,0.000005894928,0.0000066454368,1.7654739e-7,0.000016443895,0.8083381,0.0076670037,0.029368343,0.0025815822,0.00007393768],"about_ca_topic_score_codex":0.00006435285,"about_ca_topic_score_gemma":0.0000036054737,"teacher_disagreement_score":0.111834854,"about_ca_system_score_codex":0.000016967771,"about_ca_system_score_gemma":0.000016446953,"threshold_uncertainty_score":0.7703094},"labels":[],"label_agreement":null},{"id":"W2758872741","doi":"","title":"Hardware emulation and real-time simulation strategies for the concurrent development of microsatellite hardware and software","year":2001,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Emulation; Computer science; Software; Hardware emulation; Embedded system; Computer architecture; Operating system; Computer hardware; Psychology","score_opus":0.06195706588856685,"score_gpt":0.36649883354901364,"score_spread":0.30454176766044677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758872741","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":[0.59945136,0.0034595064,0.385841,0.00027033276,0.0002197501,0.0029132082,0.00037453632,0.00016158125,0.0073087257],"genre_scores_gemma":[0.9677393,0.0007776807,0.017371861,0.0000046105165,0.000024831665,0.0000047684102,0.0004872513,0.000018441136,0.0135712605],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99867415,0.000044651824,0.0003386547,0.00037884564,0.0004372758,0.00012642525],"domain_scores_gemma":[0.99725825,0.00090440904,0.00070247485,0.00030893213,0.0007695391,0.000056422472],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000435255,0.00017914629,0.0003578936,0.00008371429,0.00042192452,0.000077622026,0.00030599383,0.00018869384,0.0010866988],"category_scores_gemma":[0.000099317476,0.00016246243,0.00009727462,0.000114018156,0.00010276095,0.00042327144,0.00006172043,0.00006205354,0.0000030606343],"study_design_candidate":"design_other","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":[0.00023774305,0.00005530496,0.0007552691,0.00018918808,0.000098149656,4.1387696e-7,0.039598726,0.0029578537,0.002030041,0.001679477,0.00055534247,0.9518425],"study_design_scores_gemma":[0.0017295524,0.00022259534,0.7047067,0.0004282805,0.00041621542,0.0000015989132,0.14876239,0.069097124,0.0010664805,0.004267202,0.06842528,0.0008765611],"about_ca_topic_score_codex":0.00300006,"about_ca_topic_score_gemma":0.007829822,"teacher_disagreement_score":0.95096594,"about_ca_system_score_codex":0.000081145045,"about_ca_system_score_gemma":0.00016173418,"threshold_uncertainty_score":0.99982643},"labels":[],"label_agreement":null},{"id":"W2760262679","doi":"10.5555/3108905.3108911","title":"A taxonomy of event time representations","year":2017,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Autodesk (Canada)","funders":"","keywords":"Computer science; Event (particle physics); Event structure; Categorization; Context (archaeology); Debugging; Taxonomy (biology); Causal consistency; Consistency (knowledge bases); Natural language processing; Vocabulary; Theoretical computer science; Artificial intelligence; Correctness; Data science; Programming language; Linguistics; Consistency model","score_opus":0.2841104918975135,"score_gpt":0.5012982917861731,"score_spread":0.21718779988865966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760262679","genre_codex":"other","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":[0.05041246,0.0000057263273,0.26605186,0.0035315233,0.00004149674,0.00046431442,0.000015537114,0.000062745654,0.67941433],"genre_scores_gemma":[0.9517477,8.3804287e-7,0.011633333,0.00003961277,0.000017108014,0.000051647276,0.0000010968199,0.0000019286358,0.0365067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918187,0.000016532307,0.0002974,0.00015291294,0.0003001232,0.000051157203],"domain_scores_gemma":[0.99808764,0.0002574641,0.0002619825,0.0011594491,0.00020030516,0.000033175766],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050629437,0.000032228374,0.00008511657,0.00006198175,0.00021575761,0.00011371568,0.0006098849,0.000019672349,0.0033784686],"category_scores_gemma":[0.0008083266,0.000023034192,0.00006371949,0.00008277208,0.000072923205,0.0001784571,0.000106162064,0.00002095571,0.0006072782],"study_design_candidate":"not_applicable","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":[0.000010924032,0.00021371925,0.08507314,0.0000016491352,0.000019911007,7.6191986e-7,0.00014091385,0.0005340109,0.0067739664,0.3442336,0.28315997,0.27983743],"study_design_scores_gemma":[0.00028304284,0.000030182544,0.22225858,0.0000059267145,0.000008334307,0.000001651514,0.00017048602,0.023568602,0.025061056,0.19945927,0.52901685,0.00013601253],"about_ca_topic_score_codex":0.000086953696,"about_ca_topic_score_gemma":0.000007252897,"teacher_disagreement_score":0.9013353,"about_ca_system_score_codex":0.000004516491,"about_ca_system_score_gemma":0.000019409845,"threshold_uncertainty_score":0.9975326},"labels":[],"label_agreement":null},{"id":"W2760930732","doi":"","title":"A Canadian Approach Towards Network Enabled Capabilities ? I: Simulation Validation & Illustrative Examples","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Systems engineering; Engineering","score_opus":0.26927280068338344,"score_gpt":0.3780260740105423,"score_spread":0.10875327332715884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760930732","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":[0.07562255,0.000017789507,0.5017012,0.00025203117,0.00010662319,0.0008474767,0.000025545301,0.00023715751,0.42118964],"genre_scores_gemma":[0.9522863,0.0000017848117,0.041982684,0.0001870809,0.000118481934,0.00010084672,0.0000351149,0.000011347998,0.005276328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997909,0.000164737,0.0005810558,0.0004616276,0.0005594914,0.0003240924],"domain_scores_gemma":[0.99797726,0.00047805408,0.00015887886,0.00059509487,0.0005736382,0.00021708838],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015482992,0.00015051712,0.00020220634,0.00023876893,0.0003511796,0.0001884526,0.0004318668,0.00012079347,0.0039588823],"category_scores_gemma":[0.000502319,0.00011382453,0.000087825974,0.0009272258,0.000086812026,0.00044971312,0.00004295301,0.00009260212,0.00013492304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045097597,0.00018067156,0.030653777,0.0000083678215,0.000047697013,0.0000015038139,0.013543846,0.23647247,0.00005800413,0.62604904,0.019954138,0.072985366],"study_design_scores_gemma":[0.00032232277,0.000103546095,0.06631177,0.00000830207,0.000025599678,0.0000033064468,0.007558121,0.3087798,0.0019927134,0.539293,0.07502341,0.0005781457],"about_ca_topic_score_codex":0.089416645,"about_ca_topic_score_gemma":0.020060059,"teacher_disagreement_score":0.8766638,"about_ca_system_score_codex":0.00013733472,"about_ca_system_score_gemma":0.00023234979,"threshold_uncertainty_score":0.9978213},"labels":[],"label_agreement":null},{"id":"W2760950130","doi":"10.1080/03610918.2017.1385814","title":"Simulating from polynomial-normal distributions","year":2017,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of British Columbia","funders":"","keywords":"Polynomial; Mathematics; Mathematical analysis","score_opus":0.3185720452684659,"score_gpt":0.5387858070023652,"score_spread":0.22021376173389934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760950130","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07469204,0.00009072641,0.9195571,0.0012798852,0.0001067681,0.0003878213,0.0006013011,0.000086181695,0.0031981694],"genre_scores_gemma":[0.8976197,0.00003090045,0.101481274,0.00008258099,0.00004705385,0.000037357066,0.0005506449,0.000014098891,0.00013638253],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975955,0.0002544015,0.0010361638,0.00043199878,0.00048484182,0.00019711416],"domain_scores_gemma":[0.9913957,0.0051343013,0.0007342247,0.002096201,0.00053268624,0.00010688328],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009981736,0.00017042954,0.0002654343,0.00025258982,0.0018700288,0.0010812349,0.0012134456,0.00011267988,0.00009813332],"category_scores_gemma":[0.0033486034,0.00017666124,0.000048061465,0.0003055878,0.00037043114,0.0006655331,0.00062360504,0.00024408645,0.000060351453],"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":[0.000029180212,0.00018988273,0.08762697,0.000003773057,0.000017065699,0.0000014086651,0.0008661396,0.3056375,0.000096977565,0.0801574,0.0011286337,0.5242451],"study_design_scores_gemma":[0.00038940905,0.000009808425,0.21900411,0.000012760757,0.000009626885,3.8733933e-7,0.000119149074,0.6723992,0.000011980836,0.10301578,0.00489476,0.00013300897],"about_ca_topic_score_codex":0.00042427445,"about_ca_topic_score_gemma":0.00033032193,"teacher_disagreement_score":0.82292765,"about_ca_system_score_codex":0.00008055397,"about_ca_system_score_gemma":0.00006075587,"threshold_uncertainty_score":0.9999557},"labels":[],"label_agreement":null},{"id":"W2763920787","doi":"10.1007/s10479-015-2019-x","title":"Simulation optimization: a review of algorithms and applications","year":2015,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":444,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dow Chemical (Canada)","funders":"Dow Chemical Company","keywords":"Theory of computation; Homogeneous; Function (biology); Subject (documents); Algebraic number; Optimization problem","score_opus":0.7149842999777986,"score_gpt":0.6440607833342126,"score_spread":0.07092351664358598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763920787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015091335,0.009506396,0.96739644,0.009756688,0.00001991156,0.0019160039,0.00008689084,0.000039275834,0.009769268],"genre_scores_gemma":[0.92581624,0.007818862,0.0630576,0.00057983125,0.00012789202,0.0006040619,0.000085193504,0.000019705378,0.0018906012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970082,0.00030967305,0.00081410137,0.00028482126,0.0014404175,0.00014280714],"domain_scores_gemma":[0.9892685,0.0011809845,0.000103187595,0.0006844275,0.008614651,0.00014823857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062663094,0.00007174365,0.00023234844,0.000432234,0.0001822892,0.00007842895,0.00040124965,0.00005690329,0.00025171114],"category_scores_gemma":[0.0049925786,0.00005880271,0.000053891734,0.0022811182,0.00024808318,0.000344256,0.00014025609,0.00011016062,0.000029541927],"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":[0.000007417801,0.00014152638,0.00020554634,0.000103012586,0.0000098517485,1.3400513e-7,0.00018223145,0.9111582,0.000049555878,0.031267982,0.0076362807,0.049238272],"study_design_scores_gemma":[0.00017632707,0.00013245843,0.00022553613,0.00025853375,0.000006241185,0.0000015010614,0.00034996684,0.9111502,0.0012078421,0.011668606,0.07471868,0.000104115985],"about_ca_topic_score_codex":0.000054338398,"about_ca_topic_score_gemma":0.000005241405,"teacher_disagreement_score":0.9243071,"about_ca_system_score_codex":0.000010297798,"about_ca_system_score_gemma":0.00022175122,"threshold_uncertainty_score":0.5976944},"labels":[],"label_agreement":null},{"id":"W276930918","doi":"10.1007/978-3-319-07977-6_22","title":"Virtual Energy Platform for Low Energy Building Operations","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Energy (signal processing); Computer science; Architectural engineering; Engineering; Physics","score_opus":0.09128889209892135,"score_gpt":0.3672764176704432,"score_spread":0.27598752557152184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W276930918","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004489853,0.00002247087,0.6227873,0.00027357292,0.000105986364,0.00013920733,0.00006535418,0.00013173386,0.37646988],"genre_scores_gemma":[0.046197694,0.00004298422,0.015718065,0.0015879332,0.00047183313,0.0001883047,0.00014904558,0.00006107639,0.93558306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972267,0.000010300593,0.0009771094,0.00074347935,0.00081205624,0.0002303263],"domain_scores_gemma":[0.99663657,0.0013450747,0.00024523708,0.0009951496,0.0006271926,0.00015076851],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006083807,0.00031682244,0.00045778067,0.0004526782,0.00041043264,0.00037913484,0.0008646661,0.0004265555,0.003136712],"category_scores_gemma":[0.00021695593,0.00024632094,0.0003527411,0.00010316026,0.000089641864,0.00016882812,0.00016608396,0.00010959702,0.0001247826],"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":[0.0000039450624,0.0000059634394,1.9912312e-7,6.412197e-7,0.000010996613,1.291634e-7,0.0000056211948,0.001298429,0.00006501698,0.84107524,0.036435843,0.12109798],"study_design_scores_gemma":[0.000099644654,0.0000485672,3.6032785e-7,0.0000126205505,0.00001052283,0.0000015810039,0.0000064320698,0.030641893,0.00082408555,0.3406556,0.6274863,0.00021244894],"about_ca_topic_score_codex":0.00007289314,"about_ca_topic_score_gemma":0.00025013872,"teacher_disagreement_score":0.60706925,"about_ca_system_score_codex":0.00006404416,"about_ca_system_score_gemma":0.000108105916,"threshold_uncertainty_score":0.9999989},"labels":[],"label_agreement":null},{"id":"W2770871037","doi":"10.1088/1742-6596/898/4/042043","title":"The simulation library of the Belle II software system","year":2017,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Simulation Techniques and Applications","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":"University of Victoria; University of British Columbia","funders":"Centers for Disease Control and Prevention","keywords":"KEKB; Upgrade; Collider; Event (particle physics); Software; Detector; Computer science; Monte Carlo method; Physics; Particle physics; Operating system; Telecommunications","score_opus":0.10460832482807698,"score_gpt":0.37054386843206405,"score_spread":0.2659355436039871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770871037","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":[0.69340986,0.00015458486,0.28643036,0.0107174665,0.0010426859,0.00050208275,0.000056406738,0.00006230698,0.0076242182],"genre_scores_gemma":[0.99737734,0.000016382102,0.0009048866,0.000019212655,0.00014742653,0.0000021363921,2.6745656e-7,0.0000053305366,0.0015270034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985811,0.000071407594,0.0005440034,0.00008390855,0.0006412186,0.00007837805],"domain_scores_gemma":[0.996133,0.000587472,0.0017151936,0.00077357626,0.00075860036,0.000032139826],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005520879,0.000069598515,0.00017363387,0.000022660764,0.003328739,0.0003020411,0.001507143,0.000034371664,0.00002462873],"category_scores_gemma":[0.00065388484,0.000032526317,0.00015020474,0.00013281166,0.00026522804,0.0011448298,0.0005825933,0.0001242381,0.0000026973212],"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":[0.00008203139,0.00006537046,0.016809847,0.00001622303,0.00004164966,8.077593e-7,0.00284096,0.009935487,0.0013966361,0.65600747,0.00269286,0.3101107],"study_design_scores_gemma":[0.00033705734,0.00019191124,0.04852014,0.00022895122,0.00004063027,0.000009677723,0.0027662625,0.010323941,0.12575912,0.71842486,0.09322228,0.00017518661],"about_ca_topic_score_codex":0.0000033966587,"about_ca_topic_score_gemma":0.0000023054808,"teacher_disagreement_score":0.30993548,"about_ca_system_score_codex":0.000009113027,"about_ca_system_score_gemma":0.0001628193,"threshold_uncertainty_score":0.9979688},"labels":[],"label_agreement":null},{"id":"W2782602001","doi":"10.5555/3242181.3242281","title":"Optimizations for neuron time warp(NTW) for stochastic reaction-diffusion models of neurons","year":2017,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computation; Discrete event simulation; Neuron; Algorithm; Stochastic process; Stochastic simulation; Event (particle physics); Diffusion; Work (physics); Simulation; Biological system; Mathematics; Physics; Neuroscience","score_opus":0.23526456645821667,"score_gpt":0.4359139843240976,"score_spread":0.20064941786588095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782602001","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":[0.02024099,0.0000033810954,0.9751658,0.0012858375,0.00018950811,0.0013489429,0.00020761379,0.00008354145,0.0014743895],"genre_scores_gemma":[0.98514146,0.0000016865979,0.011013135,0.00008943475,0.000082388164,0.00019224218,0.000059065616,0.00002286026,0.0033977495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980655,0.000044780307,0.0007520804,0.0005215174,0.00042386164,0.00019231334],"domain_scores_gemma":[0.9942389,0.0020377005,0.0007934814,0.0011883825,0.0016526144,0.00008890599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005245492,0.00016582836,0.00029136226,0.00020901924,0.00067399343,0.0003217618,0.00083760027,0.00010226226,0.00017150892],"category_scores_gemma":[0.0024410596,0.00014849634,0.00019047195,0.00012929665,0.00012377533,0.0007567246,0.00013019348,0.00007481729,0.000027343352],"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":[0.000102834594,0.0000938004,0.000088866334,0.0000071806767,0.000009380514,5.2821022e-8,0.00023010989,0.95586526,0.0036549733,0.018536566,0.0010895553,0.020321446],"study_design_scores_gemma":[0.00054784876,0.00009639217,0.0014192946,0.000022110964,0.00002302548,4.487696e-7,0.000026575999,0.9213431,0.0003929266,0.07296234,0.0030312182,0.0001347393],"about_ca_topic_score_codex":0.000013925051,"about_ca_topic_score_gemma":0.000008604818,"teacher_disagreement_score":0.96490043,"about_ca_system_score_codex":0.00002178649,"about_ca_system_score_gemma":0.00007957796,"threshold_uncertainty_score":0.6055505},"labels":[],"label_agreement":null},{"id":"W2794408601","doi":"10.82308/50002","title":"Modelling and simulation of dynamic-structure discrete-event systems","year":2008,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Principle of compositionality; Computer science; Discrete event simulation; Discrete event dynamic system; Theoretical computer science; Formalism (music); Programming language; Discrete system; Modeling and simulation; Artificial intelligence; Simulation; Mathematics","score_opus":0.06444706370015933,"score_gpt":0.33583517505819327,"score_spread":0.2713881113580339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794408601","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":[0.9907543,0.00013854862,0.005439545,0.000026774804,0.0001328538,0.00052885414,0.000612975,0.00013171883,0.0022344515],"genre_scores_gemma":[0.9957312,0.000052246796,0.0034160032,0.000041415988,0.000014341351,0.000023140181,0.000023747858,0.000033540975,0.00066438084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99663234,0.000211525,0.0010747509,0.0006827124,0.0011242883,0.00027440136],"domain_scores_gemma":[0.9970938,0.00085615413,0.0005311031,0.0007891989,0.0005439661,0.00018575917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000991518,0.00025124924,0.00042838563,0.0003073593,0.0008212947,0.00006894707,0.00048439237,0.00021734103,0.00007558694],"category_scores_gemma":[0.0005467589,0.00021049127,0.0001434565,0.00077837845,0.00013458873,0.0006652974,0.00017552286,0.00029795576,0.000026121224],"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":[0.000021844875,0.000035213066,0.00022125478,0.000013498582,0.000015574877,0.0000029067103,0.00000977532,0.9377995,0.00424101,0.03918786,0.000001779847,0.018449755],"study_design_scores_gemma":[0.00032986753,0.00005312171,0.00074058294,0.00003915773,0.000020752841,0.000027401431,0.00008415816,0.89196867,0.0035894993,0.09068793,0.012169401,0.00028945462],"about_ca_topic_score_codex":0.00011332438,"about_ca_topic_score_gemma":0.000015269556,"teacher_disagreement_score":0.05150007,"about_ca_system_score_codex":0.000120692115,"about_ca_system_score_gemma":0.00001665497,"threshold_uncertainty_score":0.8583585},"labels":[],"label_agreement":null},{"id":"W2799837321","doi":"10.1177/0037549718759775","title":"Semantic adaptation for FMI co-simulation with hierarchical simulators","year":2018,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"H2020 European Institute of Innovation and Technology; Agentschap voor Innovatie door Wetenschap en Technologie","keywords":"Computer science; Interfacing; Adaptation (eye); Context (archaeology); Interoperability; Co-simulation; Simulation; Interface (matter); Orchestration; Distributed computing; Human–computer interaction; Operating system","score_opus":0.17537315575006615,"score_gpt":0.47625258019497435,"score_spread":0.30087942444490823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799837321","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":[0.2640183,0.0000057055386,0.73322195,0.00028072923,0.000091641254,0.0010327213,0.000024782561,0.00021969822,0.0011044617],"genre_scores_gemma":[0.98485756,5.4890154e-7,0.013600211,0.000265773,0.00047800038,0.00008364865,0.00010053927,0.000039669303,0.00057406136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968924,0.00012798468,0.00082034385,0.00070143,0.0011378031,0.00032005133],"domain_scores_gemma":[0.993534,0.003740095,0.00040629334,0.0007130583,0.001467259,0.00013928318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295617,0.00022803796,0.00028517595,0.00043081812,0.0005971855,0.00026691344,0.0003483448,0.00016933162,0.00031373487],"category_scores_gemma":[0.0013137008,0.00017755842,0.00012636947,0.0010806881,0.00020456585,0.0006146249,0.00003360725,0.000115255054,0.0002616555],"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":[0.00021775706,0.000053126776,0.003154249,0.0000041250087,0.00001155841,2.1631804e-7,0.0006744097,0.94921654,0.00015265275,0.0057379534,0.00023193001,0.04054548],"study_design_scores_gemma":[0.0008079465,0.0003276586,0.00783492,0.000014151252,0.000024035719,7.1984056e-7,0.00019747372,0.92037785,0.00069162797,0.043180395,0.026310548,0.0002326815],"about_ca_topic_score_codex":0.00001668456,"about_ca_topic_score_gemma":0.000030302816,"teacher_disagreement_score":0.72083926,"about_ca_system_score_codex":0.00007705984,"about_ca_system_score_gemma":0.00008706759,"threshold_uncertainty_score":0.72406226},"labels":[],"label_agreement":null},{"id":"W2800717088","doi":"10.1139/tcsme-2000-0008","title":"STOCHASTIC CONTROL OF A MANIPULATOR IN A FLUID ENVIRONMENT","year":2000,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Centre hospitalier universitaire de Québec","funders":"","keywords":"Control theory (sociology); Manipulator (device); Controller (irrigation); Computer science; Operator (biology); Stochastic modelling; Stochastic control; Flow (mathematics); Robot manipulator; Control engineering; Robot; Control (management); Engineering; Optimal control; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.029467438560297692,"score_gpt":0.26931273775854975,"score_spread":0.23984529919825207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800717088","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":[0.025319036,0.000028807488,0.9732716,0.0006630241,0.00003653403,0.0005031336,0.00014100564,0.00001342796,0.000023426774],"genre_scores_gemma":[0.9943681,0.000002821883,0.005309583,0.000060740207,0.000008055153,0.00007914677,7.564941e-7,0.000009177721,0.0001616414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990651,0.000008865817,0.00038576135,0.00014248877,0.00024496668,0.00015282433],"domain_scores_gemma":[0.9992518,0.00025583841,0.00004477137,0.00032037593,0.000030900057,0.00009630728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041702163,0.00007013211,0.00016537987,0.000058248224,0.000075970886,0.000009622946,0.00032434877,0.00008006758,0.00045749496],"category_scores_gemma":[0.00004410888,0.000057145182,0.00037807017,0.00030853326,0.000029683815,0.00004525303,0.0000023542998,0.00008714413,0.0000030291949],"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":[0.0000063616208,0.000023956194,0.000004386932,0.0000062789663,0.000021540523,2.9404854e-8,0.000114454364,0.983021,0.0041058646,0.0055896025,0.000048658403,0.0070578298],"study_design_scores_gemma":[0.00052161387,0.00003398741,0.0002863943,0.000020797082,0.00003228384,0.0000013116891,0.00006612977,0.9869009,0.0034636823,0.004198532,0.004375268,0.000099070836],"about_ca_topic_score_codex":0.0024528676,"about_ca_topic_score_gemma":0.0022574593,"teacher_disagreement_score":0.96904904,"about_ca_system_score_codex":0.00013312291,"about_ca_system_score_gemma":0.000070716116,"threshold_uncertainty_score":0.5009249},"labels":[],"label_agreement":null},{"id":"W2803343684","doi":"","title":"Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, Banff, AB, Canada - June 06 - 10, 2005","year":2005,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science","score_opus":0.16040447603183552,"score_gpt":0.33969007125397327,"score_spread":0.17928559522213774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803343684","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":[0.9294121,0.0010037571,0.054532688,0.005672382,0.00067577884,0.0011377211,0.0015269148,0.000086061635,0.005952576],"genre_scores_gemma":[0.99598837,0.00016401071,0.003236109,0.00012726689,0.00018882795,0.000006943217,0.000051612882,0.0000075384814,0.0002293382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977544,0.000038831844,0.00057433825,0.00039470888,0.0010658911,0.00017185505],"domain_scores_gemma":[0.998317,0.00031425967,0.00034470388,0.000623204,0.00031909376,0.000081714956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015645059,0.00012622033,0.00021499206,0.000113619986,0.00015435762,0.00014424758,0.0018590965,0.000034327877,0.000020276919],"category_scores_gemma":[0.00007885782,0.00008450725,0.000021016695,0.0002772844,0.000055661036,0.00023223863,0.00082566624,0.000109784814,9.47626e-7],"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":[0.00021858615,0.00040464467,0.051545165,0.00042365043,0.00028430726,9.438396e-7,0.0029215312,0.61443275,0.0028229903,0.017976515,0.22235209,0.08661684],"study_design_scores_gemma":[0.00014424801,0.0000090538115,0.003461496,0.0002061844,0.000013826923,0.0000020852585,0.00032936962,0.9660812,0.000044271503,0.00036907702,0.029252328,0.000086845044],"about_ca_topic_score_codex":0.010953354,"about_ca_topic_score_gemma":0.041499764,"teacher_disagreement_score":0.35164848,"about_ca_system_score_codex":0.000037693408,"about_ca_system_score_gemma":0.000084425905,"threshold_uncertainty_score":0.99563277},"labels":[],"label_agreement":null},{"id":"W2804077518","doi":"10.1007/978-3-319-58544-4_8","title":"Erratum to: Conceptual Modeling","year":2018,"lang":"en","type":"erratum","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science","score_opus":0.24484275913170211,"score_gpt":0.545807164713987,"score_spread":0.30096440558228493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804077518","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":[0.000041542735,0.0004066704,0.93621194,0.0016977121,0.0023948378,0.0023758346,0.00024553307,0.00040169054,0.056224212],"genre_scores_gemma":[0.023436032,0.00025930896,0.6366901,0.0026478905,0.007025674,0.003956364,0.0025103271,0.00024842136,0.32322592],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99327403,0.00065926113,0.002182488,0.0019447268,0.0014166493,0.00052286877],"domain_scores_gemma":[0.9906063,0.002927244,0.0008739169,0.0023787862,0.0027085503,0.0005051965],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0044438266,0.00061733124,0.00086592435,0.001136947,0.0016968432,0.0012419634,0.0012934947,0.00079305796,0.0012829765],"category_scores_gemma":[0.003139849,0.0005796261,0.00029192297,0.002890033,0.00044141215,0.0005261762,0.0005024809,0.0007862368,0.0012138608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014321337,0.000110189896,0.000040491053,0.0000171352,0.0000549946,1.9447668e-7,0.0004953984,0.057087645,0.00005873423,0.07768774,0.6331256,0.23130757],"study_design_scores_gemma":[0.00010171997,0.000029354422,0.000035141013,0.00002183952,0.00004974484,0.0000013539557,0.00024733832,0.31766886,0.000009527134,0.13170648,0.54977113,0.00035754702],"about_ca_topic_score_codex":0.000040111372,"about_ca_topic_score_gemma":0.00003113281,"teacher_disagreement_score":0.29952192,"about_ca_system_score_codex":0.00016989527,"about_ca_system_score_gemma":0.00042900542,"threshold_uncertainty_score":0.99979484},"labels":[],"label_agreement":null},{"id":"W2804347281","doi":"10.1145/3179993","title":"Co-Simulation","year":2018,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":355,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Horizon 2020 Framework Programme","keywords":"Computer science; Modular design; Co-simulation; Discrete event simulation; Simulation modeling; Data science; Systems engineering; Management science; Simulation; Programming language","score_opus":0.45882078670740933,"score_gpt":0.5661062643273224,"score_spread":0.10728547761991303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804347281","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012982551,0.75173515,0.24306652,0.000022332233,0.00037823626,0.0007148293,0.000056739063,0.0003693123,0.0036439183],"genre_scores_gemma":[0.0026751377,0.9819613,0.010549459,0.000097705386,0.001400195,0.00003330492,0.00039001246,0.00010812087,0.0027847632],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99369454,0.002361608,0.0016606431,0.0009285552,0.001048796,0.00030582986],"domain_scores_gemma":[0.97937536,0.016127322,0.0011625357,0.0026324824,0.00059305225,0.0001092707],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015156749,0.00035350092,0.0012613953,0.0004717546,0.00038028092,0.00043041006,0.0025732492,0.00034034418,0.00039318655],"category_scores_gemma":[0.008497465,0.0002633506,0.00052169285,0.0016803028,0.000113574,0.00010902101,0.00039486433,0.0002932417,0.0039669853],"study_design_candidate":"not_applicable","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":[1.6116664e-7,0.000014504514,0.00006491797,0.00008924774,0.000013259443,4.869977e-7,0.000018219669,0.00016828484,1.6172006e-8,0.00015360101,0.009217665,0.99025965],"study_design_scores_gemma":[0.000042307787,0.00001722785,0.00020202436,0.0006577179,0.00003914645,0.0000036440847,0.0000037830457,0.005506655,5.245358e-7,0.0046007223,0.98864293,0.0002832899],"about_ca_topic_score_codex":0.000018346991,"about_ca_topic_score_gemma":0.0000032262226,"teacher_disagreement_score":0.98997635,"about_ca_system_score_codex":0.000076917386,"about_ca_system_score_gemma":0.00015845767,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W2806066315","doi":"","title":"Theory of Modeling and Simulation: DEVS Integrative M&S Symposium 2010 (DEVS 2010)","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Modeling and simulation; Discrete event simulation; Simulation","score_opus":0.055526184822602194,"score_gpt":0.32829666453070516,"score_spread":0.272770479708103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806066315","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":[0.123269714,0.00042175152,0.8483248,0.0054866797,0.00032005558,0.00075610005,0.00013592643,0.00019727706,0.021087717],"genre_scores_gemma":[0.9239678,0.00023877631,0.063556515,0.00008158831,0.00003638263,0.00009092547,0.00016037398,0.000041801344,0.01182584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99254006,0.0035366497,0.0014224463,0.0011436044,0.0010566679,0.00030058203],"domain_scores_gemma":[0.98004687,0.008500391,0.0012109942,0.0032890993,0.0067255427,0.00022712132],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.013815016,0.00042113246,0.0006503017,0.0005087814,0.00045128248,0.0006064338,0.0019769033,0.0006099328,0.00043438314],"category_scores_gemma":[0.0061716,0.00036225302,0.00028769622,0.0006824303,0.0005365538,0.0003059245,0.0018011973,0.0011372857,0.000039702656],"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":[0.00008867775,0.0009240692,0.0033050168,0.00013464592,0.00017105597,0.000002328856,0.029981842,0.09191655,0.0114737805,0.66713566,0.0023292555,0.1925371],"study_design_scores_gemma":[0.00025825898,6.257685e-7,0.00083165313,0.00042721166,0.000043305703,0.0000030837195,0.0004087094,0.76814306,0.014036084,0.21178311,0.0036979702,0.0003669552],"about_ca_topic_score_codex":0.0005501658,"about_ca_topic_score_gemma":0.0005812156,"teacher_disagreement_score":0.8006981,"about_ca_system_score_codex":0.000056772493,"about_ca_system_score_gemma":0.00032592812,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W2806580433","doi":"10.5555/3213214.3213224","title":"Introduction to parallel DEVS modelling and simulation","year":2018,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","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":"McGill University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Computer science; Formalism (music); Python (programming language); Theoretical computer science; Discrete event simulation; Modularity (biology); Modeling and simulation; Distributed computing; Programming language; Simulation; Mathematics","score_opus":0.1684304203233771,"score_gpt":0.4277329648860991,"score_spread":0.25930254456272195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806580433","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":[0.3436863,0.0000060196185,0.6546347,0.0007820036,0.00010342451,0.00032116237,0.000002403971,0.00013510569,0.00032883234],"genre_scores_gemma":[0.9105677,0.0000022665915,0.08808963,0.00017897353,0.00065785873,0.000022195129,0.0000032812075,0.000015650008,0.0004624548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976618,0.00008322878,0.0006589769,0.0007171623,0.00063750375,0.00024131173],"domain_scores_gemma":[0.9969081,0.00096507184,0.00020043796,0.0006903982,0.0010655241,0.00017045022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009786002,0.0001735164,0.00020531377,0.00035224252,0.00040743285,0.00036102853,0.0003008703,0.00010018797,0.00030357979],"category_scores_gemma":[0.001422686,0.00015980045,0.000045306788,0.00067205797,0.000105213636,0.00050232885,0.00013482504,0.00011359861,0.00052231865],"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":[0.000026247519,0.000016479406,0.0029642817,0.0000015616632,0.000003025599,8.894311e-8,0.00041338583,0.9524415,0.00047263913,0.0063241483,0.000035469395,0.037301153],"study_design_scores_gemma":[0.00020037757,0.000044712135,0.01117209,0.000009840756,0.0000067784836,3.2588608e-7,0.00007266012,0.95237374,0.00059691357,0.011226638,0.024108881,0.00018706702],"about_ca_topic_score_codex":0.00007663,"about_ca_topic_score_gemma":0.000022533946,"teacher_disagreement_score":0.56688136,"about_ca_system_score_codex":0.00004817159,"about_ca_system_score_gemma":0.00003204087,"threshold_uncertainty_score":0.6713524},"labels":[],"label_agreement":null},{"id":"W2807212428","doi":"10.22215/etd/2013-09896","title":"Thin Client Distributed Simulation of Discrete Event Models","year":2013,"lang":"en","type":"dissertation","venue":"","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":"Carleton University","funders":"","keywords":"Discrete event simulation; Computer science; HTML5; Event (particle physics); Simulation language; Distributed computing; Protocol (science); Web-based simulation; Web service; Simulation; World Wide Web; Web navigation; Web API","score_opus":0.10638396416185832,"score_gpt":0.4491119613386718,"score_spread":0.3427279971768135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807212428","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":[0.091382794,0.00008796238,0.8758286,0.00016506907,0.00028617212,0.001440153,0.00032818085,0.00018174754,0.030299298],"genre_scores_gemma":[0.965666,0.000016125743,0.0016841841,0.000034301676,0.000040856557,0.00012715055,0.0023485066,0.000023454828,0.030059405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960246,0.00008858217,0.0015444929,0.00057432026,0.0015818025,0.00018617374],"domain_scores_gemma":[0.9958243,0.0008192966,0.001038143,0.00096347724,0.0012515247,0.00010327545],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078242185,0.00024584375,0.00046661438,0.0003095089,0.00012013916,0.00014739313,0.00071396166,0.0003150426,0.0020808103],"category_scores_gemma":[0.00044615133,0.00017651428,0.000299454,0.0007290215,0.000033612352,0.00036364608,0.000058008445,0.00017830457,0.00021276323],"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":[0.000027258915,0.00008372925,0.000074168216,0.000014302265,0.00001894286,1.2997906e-7,0.00037973552,0.9313731,0.00019603349,0.045579575,0.007576969,0.014676019],"study_design_scores_gemma":[0.00010781186,0.000027152713,0.0016304923,0.000031205618,0.00002199186,9.626466e-8,0.00063893443,0.7868075,0.0017417077,0.20453683,0.0042715357,0.00018474346],"about_ca_topic_score_codex":0.00013594254,"about_ca_topic_score_gemma":0.00004436691,"teacher_disagreement_score":0.87428325,"about_ca_system_score_codex":0.000053577543,"about_ca_system_score_gemma":0.00008394752,"threshold_uncertainty_score":0.99883145},"labels":[],"label_agreement":null},{"id":"W282652244","doi":"","title":"Synthetic Environments at the Enterprise Level: Overview of a Government of Canada (GoC), Academia and Industry Distributed Synthetic Environment Initiative","year":2005,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"General partnership; Interoperability; Government (linguistics); Engineering; Engineering management; Aeronautics; Business; Computer science; Finance; World Wide Web","score_opus":0.08757637910130221,"score_gpt":0.3223247180021531,"score_spread":0.2347483389008509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W282652244","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":[0.88162273,0.0003713449,0.0884888,0.011635404,0.00011280016,0.0025259354,0.0076793046,0.00008874908,0.007474924],"genre_scores_gemma":[0.9981632,0.00014167474,0.00053325854,0.00090196735,0.000010759308,0.00006754215,0.000037181933,0.000007905275,0.00013645983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961459,0.00011808222,0.001376785,0.00023659819,0.0018889278,0.00023372985],"domain_scores_gemma":[0.997447,0.0008654655,0.00081872905,0.0006864457,0.00004538538,0.00013697102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097176933,0.00019174976,0.0003073355,0.00006148377,0.00014243535,0.000034040422,0.00048677786,0.0002685958,0.0006394109],"category_scores_gemma":[0.0006240301,0.00013300646,0.00009917677,0.00022137431,0.00029325983,0.000362812,0.0005068119,0.00042113938,0.000028112145],"study_design_candidate":"not_applicable","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":[0.0014131865,0.0033584798,0.16898496,0.00041749037,0.00060620805,0.000010214173,0.007300128,0.031088693,0.0099185165,0.055801332,0.2046541,0.5164467],"study_design_scores_gemma":[0.0014166817,0.00013409181,0.18954648,0.0002479869,0.00010695008,0.000051879317,0.0011566909,0.0087083485,0.029044503,0.0020414062,0.7670098,0.00053515827],"about_ca_topic_score_codex":0.00027021786,"about_ca_topic_score_gemma":0.0003790391,"teacher_disagreement_score":0.5623557,"about_ca_system_score_codex":0.0005602793,"about_ca_system_score_gemma":0.00006262392,"threshold_uncertainty_score":0.70011014},"labels":[],"label_agreement":null},{"id":"W2883545591","doi":"10.1007/978-3-319-33616-9_9","title":"Improving Traffic Lights System Management by Translating Decisions of Traffic Officer","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in mobility","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Traffic flow (computer networking); Computer science; Officer; Simple (philosophy); Traffic simulation; Traffic optimization; Traffic congestion; Advanced Traffic Management System; Intelligent transportation system; Simulation; Engineering; Operations research; Transport engineering; Computer security; Floating car data","score_opus":0.04576208437366139,"score_gpt":0.3317350375698537,"score_spread":0.2859729531961923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883545591","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":[0.09772226,0.0019434849,0.81459427,0.00044787794,0.00064683345,0.0059709265,0.0006858232,0.000733312,0.07725519],"genre_scores_gemma":[0.9852939,0.000017125541,0.010918549,0.000047894784,0.000104329185,0.00007906652,0.000043368393,0.000055012126,0.0034407221],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948562,0.00011496944,0.0020454412,0.0013290308,0.0013199891,0.00033441337],"domain_scores_gemma":[0.9941338,0.0027052166,0.00083053904,0.0018123107,0.00040313252,0.00011505383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024058248,0.00047526282,0.00088700326,0.0005105807,0.00019277932,0.00011122435,0.0011119448,0.0006647188,0.0008104256],"category_scores_gemma":[0.00049813726,0.00037215377,0.00042769645,0.00044839678,0.0002735265,0.000105392115,0.00013675405,0.0005182189,0.000079091245],"study_design_candidate":"design_other","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":[0.00007705224,0.00020246576,0.000034426852,0.00019314606,0.000061145714,0.000006107294,0.0010333649,0.047412056,0.00024547154,0.003907873,0.0009099551,0.94591695],"study_design_scores_gemma":[0.0038847676,0.0010391788,0.00074301916,0.004451571,0.0008294725,0.000040016792,0.00061588385,0.5299836,0.006793642,0.25439486,0.19233947,0.004884558],"about_ca_topic_score_codex":0.000015177236,"about_ca_topic_score_gemma":0.00025912074,"teacher_disagreement_score":0.94103235,"about_ca_system_score_codex":0.00023065954,"about_ca_system_score_gemma":0.00007529519,"threshold_uncertainty_score":0.99987304},"labels":[],"label_agreement":null},{"id":"W2883725493","doi":"10.11159/jffhmt.2015.003","title":"Simulation of Time-Lag Permeation Experiments Using Finite Differences","year":2015,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","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":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Permeation; Time lag; Lag time; Lag; Materials science; Biological system; Process engineering; Computer science; Chemistry; Engineering; Membrane; Biology","score_opus":0.1794028586330288,"score_gpt":0.39866670935364434,"score_spread":0.21926385072061555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883725493","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":[0.54831856,0.00016024092,0.45112756,0.0000956022,0.000060749593,0.000076616685,0.000005410056,0.000005241092,0.00015001827],"genre_scores_gemma":[0.9946836,0.00002977173,0.005059851,0.000035661116,0.000081456536,0.0000011881184,0.0000014515998,0.0000061869823,0.00010081894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821234,0.000087326676,0.0007325602,0.00012567326,0.000749619,0.00009247845],"domain_scores_gemma":[0.99851966,0.00046667593,0.00007596391,0.00013783466,0.0006786893,0.000121148165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087625853,0.00009304999,0.00027361198,0.00023189375,0.00006665992,0.00007048127,0.00015737042,0.000071131224,0.00013825911],"category_scores_gemma":[0.00021991007,0.00006493526,0.000096844175,0.00025328872,0.00005482215,0.0003975126,0.000009587383,0.00007089015,0.0000045188453],"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":[0.00034522475,0.0002125818,0.019737894,0.000012157612,0.00005270093,0.0000031180593,0.0038480351,0.5693271,0.38807908,0.00032943775,0.00043524316,0.017617404],"study_design_scores_gemma":[0.00067951315,0.00020053597,0.0017635626,0.00003236029,0.000030874828,0.00000423523,0.00027627635,0.9761444,0.015522524,0.0043887966,0.00086954434,0.0000874106],"about_ca_topic_score_codex":0.00000587441,"about_ca_topic_score_gemma":4.958238e-7,"teacher_disagreement_score":0.44636503,"about_ca_system_score_codex":0.00002474429,"about_ca_system_score_gemma":0.000060871524,"threshold_uncertainty_score":0.26479828},"labels":[],"label_agreement":null},{"id":"W2886916847","doi":"10.22215/etd/2006-06143","title":"Modelling shared vehicle system design and operation using discrete-event simulation technique","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Event (particle physics); Computer science; Discrete event simulation; Engineering; Simulation; Physics","score_opus":0.1541296712840854,"score_gpt":0.42947479378206604,"score_spread":0.27534512249798065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886916847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01986627,0.00008457329,0.9750729,0.00002242431,0.00008973557,0.0021623522,0.000023569664,0.0003054407,0.0023727047],"genre_scores_gemma":[0.8798136,0.000004340389,0.11577012,0.000012988503,0.00008239787,0.00025522624,0.0004284487,0.000045755856,0.0035870865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966066,0.00020594218,0.001183865,0.00080440403,0.0009862123,0.0002129801],"domain_scores_gemma":[0.9975706,0.00060669816,0.0005640245,0.0005682944,0.00060558214,0.00008482053],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015500167,0.00031086523,0.00040928996,0.0004616886,0.00048300638,0.00070269353,0.0003437491,0.0004298992,0.000091460446],"category_scores_gemma":[0.00008467685,0.00025934,0.00012108968,0.0005507338,0.000022922666,0.0005095978,0.00004018753,0.00019636587,0.000025226125],"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":[0.00002275311,0.000016624967,0.000024166973,0.000023695718,0.0000053696,5.961028e-7,0.00009405789,0.99231625,0.0026077619,0.0026175354,0.00015559405,0.0021156138],"study_design_scores_gemma":[0.00012263868,0.000023442502,0.00006759294,0.00012629716,0.000036584286,0.0000018950384,0.00041135118,0.98614705,0.0071900813,0.005091715,0.00048091728,0.00030040948],"about_ca_topic_score_codex":0.00035356396,"about_ca_topic_score_gemma":0.000021483496,"teacher_disagreement_score":0.8599474,"about_ca_system_score_codex":0.00017836304,"about_ca_system_score_gemma":0.00010402611,"threshold_uncertainty_score":0.9999859},"labels":[],"label_agreement":null},{"id":"W2887738187","doi":"10.4212/cjhp.v51i3.1944","title":"A study of discrepancies in the MeditrolTM system","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science","score_opus":0.12475132005987798,"score_gpt":0.42874292047762125,"score_spread":0.30399160041774326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887738187","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":[0.9884255,0.00009188778,0.00011060123,0.008441057,0.00031774078,0.0003324408,0.000008133396,0.00000358885,0.0022690552],"genre_scores_gemma":[0.9994546,0.0000011738676,0.000035492307,0.00016319618,0.00028956943,0.000007797999,1.2092161e-7,0.000004334758,0.000043691132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822974,0.00021696859,0.00063243206,0.00008777103,0.0006915789,0.00014152518],"domain_scores_gemma":[0.998164,0.0004298491,0.00041837434,0.0003485137,0.0005199408,0.000119345124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003262996,0.00006623776,0.00016272458,0.00021800191,0.00025076978,0.00012967746,0.0013716022,0.000012508212,0.00007701558],"category_scores_gemma":[0.0004013647,0.000030071751,0.00007234164,0.00070836494,0.00021159636,0.00017473093,0.000021679878,0.00016246905,0.00001705053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017764042,0.001110766,0.4408901,0.000015627034,0.00025328418,0.00035811754,0.2631547,0.0007194627,0.00031591498,0.0746378,0.17863876,0.039727848],"study_design_scores_gemma":[0.004768558,0.004425354,0.366705,0.00014928027,0.00022212238,0.00031734534,0.3093848,0.003304026,0.0020807118,0.041362494,0.2667391,0.00054120336],"about_ca_topic_score_codex":0.015453796,"about_ca_topic_score_gemma":0.047401283,"teacher_disagreement_score":0.08810035,"about_ca_system_score_codex":0.000059444897,"about_ca_system_score_gemma":0.0003230418,"threshold_uncertainty_score":0.9911024},"labels":[],"label_agreement":null},{"id":"W2894213142","doi":"10.22360/summersim.2018.scsc.023","title":"A Cell-DEVS Visualization and Analysis Platform","year":2018,"lang":"en","type":"article","venue":"","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":"Computer science; Visualization; JavaScript; DEVS; HTML5; Data visualization; Web application; JSON; Software; Process (computing); Modeling and simulation; Database; Data mining; Programming language; World Wide Web; Simulation","score_opus":0.12277978551682418,"score_gpt":0.461364324843383,"score_spread":0.33858453932655885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894213142","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":[0.24623175,0.00000846734,0.69704086,0.00012207015,0.000012730561,0.00008262917,0.0000030911342,0.000081715305,0.056416698],"genre_scores_gemma":[0.989021,0.000003624937,0.0043748217,0.00027055145,0.000030786807,0.0000063973366,0.0000056911167,0.000002520211,0.0062846295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991476,0.00001144425,0.00024169484,0.0002088991,0.00032187803,0.000068517715],"domain_scores_gemma":[0.99916875,0.00018798151,0.00007435132,0.00026961652,0.00025051492,0.00004875663],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047946282,0.000044848428,0.000091556205,0.00027907264,0.00013971666,0.0001491531,0.00013948673,0.000034564742,0.0020104442],"category_scores_gemma":[0.000112002956,0.000030563013,0.000040857463,0.0017688869,0.000057471607,0.00016145033,0.000047128666,0.000016035541,0.00020492796],"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":[0.000020059391,0.00013241387,0.22914578,0.0000021225726,0.000079979414,3.8824717e-7,0.0020335617,0.00010528537,0.0013321313,0.5867334,0.07963365,0.10078121],"study_design_scores_gemma":[0.00027590944,0.00010556622,0.11703106,0.0000013865725,0.00011729318,0.0000011011667,0.000910314,0.58051395,0.016418742,0.11347442,0.17090431,0.0002459663],"about_ca_topic_score_codex":0.00002771394,"about_ca_topic_score_gemma":0.000028794255,"teacher_disagreement_score":0.7427892,"about_ca_system_score_codex":0.000006185891,"about_ca_system_score_gemma":0.000008124451,"threshold_uncertainty_score":0.99890184},"labels":[],"label_agreement":null},{"id":"W2895960566","doi":"10.1504/ijspm.2018.10016924","title":"&lt;SUP align=\"right\"&gt;DEVS&lt;/SUP&gt;Server: ambient intelligence and DEVS modelling-based simulation server for epidemic modelling","year":2018,"lang":"en","type":"article","venue":"International Journal of Simulation and Process Modelling","topic":"Simulation Techniques and Applications","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; Université du Québec à Montréal","funders":"","keywords":"DEVS; Computer science; Operating system; Computer network; Modeling and simulation; Simulation","score_opus":0.1869068191126321,"score_gpt":0.4336101067207292,"score_spread":0.2467032876080971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895960566","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":[0.23259734,0.00028563908,0.7657871,0.00055989827,0.00018728815,0.00041889754,0.000029667748,0.000050426275,0.00008374943],"genre_scores_gemma":[0.96180034,0.000121297344,0.036828857,0.0004445373,0.0005752299,0.000021339958,0.000030617226,0.00004310588,0.00013466092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99475133,0.000118293545,0.0022229564,0.00069566496,0.0018656022,0.00034617112],"domain_scores_gemma":[0.98942107,0.0025197973,0.0014481586,0.0003420866,0.006002787,0.00026610054],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030378997,0.00036707654,0.00052063545,0.00083822175,0.00047343315,0.00060625415,0.00080996036,0.00024876563,0.00011311656],"category_scores_gemma":[0.00042130303,0.0003168462,0.00024253257,0.00053239695,0.00018471574,0.0015680701,0.0000874233,0.0002677384,0.000013748325],"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":[0.0004003166,0.000083106526,0.0003640655,0.000022807764,0.000052034375,0.0000016727154,0.000845888,0.985382,0.000033463148,0.0051057953,0.00002708164,0.007681757],"study_design_scores_gemma":[0.00066663686,0.00013989644,0.000012747327,0.00017356566,0.00004974933,0.000008630656,0.00009989605,0.84949833,0.00092616456,0.14361522,0.00450878,0.00030038963],"about_ca_topic_score_codex":0.000017899285,"about_ca_topic_score_gemma":0.000007204706,"teacher_disagreement_score":0.72920305,"about_ca_system_score_codex":0.00012634275,"about_ca_system_score_gemma":0.00018149978,"threshold_uncertainty_score":0.99992836},"labels":[],"label_agreement":null},{"id":"W2899160896","doi":"10.31031/cojec.2018.01.000501","title":"On the Advantages of Simulation based Approach in Engineering","year":2018,"lang":"en","type":"article","venue":"COJ Electronics & Communications","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":"University of Ottawa","funders":"","keywords":"Computer science; Systems engineering; Management science; Software engineering; Industrial engineering; Engineering","score_opus":0.1127023081950976,"score_gpt":0.4206050950954359,"score_spread":0.30790278690033834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899160896","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":[0.07559722,0.0004129322,0.9085803,0.0038192596,0.000023999743,0.0007345122,0.000014145829,0.00010950065,0.010708109],"genre_scores_gemma":[0.9919562,0.000030209656,0.0076187756,0.00019652225,0.000012264062,0.00009635589,0.000014570531,0.000010687721,0.00006441596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986424,0.00016232592,0.00046977735,0.00019425548,0.00036459678,0.00016665869],"domain_scores_gemma":[0.9911932,0.005825893,0.00018180635,0.0024577135,0.0003150003,0.000026384785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014413048,0.00008954874,0.00013564702,0.00025079408,0.00020846444,0.000048524733,0.0016485336,0.00005463073,0.00007053483],"category_scores_gemma":[0.0013494736,0.000065467204,0.00006180002,0.001349795,0.00015275236,0.00008813738,0.00013772321,0.00023250793,0.000031283424],"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":[0.000011747582,0.000279192,0.00073824555,0.0000020008977,0.000005656024,1.7481105e-8,0.000260431,0.27724752,0.0011658302,0.71492034,0.00032186674,0.00504715],"study_design_scores_gemma":[0.00011379389,0.00006884755,0.0015380264,0.000010573885,0.00000390036,1.2773404e-7,0.000047873196,0.9421262,0.0014460047,0.032354794,0.022217976,0.00007186739],"about_ca_topic_score_codex":0.000009315753,"about_ca_topic_score_gemma":0.000030937783,"teacher_disagreement_score":0.916359,"about_ca_system_score_codex":0.000069119065,"about_ca_system_score_gemma":0.00008700194,"threshold_uncertainty_score":0.3063413},"labels":[],"label_agreement":null},{"id":"W2905192700","doi":"","title":"Methodology and Tools to Make Predictions from Sporadic Delivery Data","year":2018,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data science","score_opus":0.1864069405111451,"score_gpt":0.39077649457541536,"score_spread":0.20436955406427026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905192700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19752681,0.00025484787,0.7921357,0.007016073,0.00013424008,0.00071963837,0.0008223323,0.00057045114,0.0008199159],"genre_scores_gemma":[0.5997443,0.00005953515,0.39493477,0.0038949228,0.0003351279,0.00021266475,0.000110148285,0.000029694855,0.0006788104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964826,0.00035090803,0.00084915257,0.0011414237,0.0006909643,0.00048493734],"domain_scores_gemma":[0.99346256,0.0021240963,0.00027158312,0.003266505,0.00040933187,0.00046593748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032211638,0.00026291105,0.00042975828,0.00065080385,0.0004895628,0.0006451627,0.0019570955,0.00027952436,0.000404804],"category_scores_gemma":[0.0032199845,0.00023628936,0.00008140251,0.0013496723,0.00026788586,0.00074168696,0.0012785521,0.00027245207,0.00018386898],"study_design_candidate":"design_other","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":[0.00018130233,0.00021564323,0.05262998,0.0000035331002,0.000075112286,0.000016893076,0.00076283724,0.00046990212,0.01374888,0.044875726,0.101480104,0.7855401],"study_design_scores_gemma":[0.0005150644,0.00033066003,0.30773303,0.000034135108,0.00008468885,0.00007606015,0.00066032814,0.21327661,0.008260399,0.11822586,0.35013217,0.00067103],"about_ca_topic_score_codex":0.008050165,"about_ca_topic_score_gemma":0.005388666,"teacher_disagreement_score":0.7848691,"about_ca_system_score_codex":0.00011723355,"about_ca_system_score_gemma":0.00016506857,"threshold_uncertainty_score":0.9985553},"labels":[],"label_agreement":null},{"id":"W2906972799","doi":"10.1109/milcom.2018.8599762","title":"Emulation of Large-Scale LTE Networks in NS-3 and CORE: A Distributed Approach","year":2018,"lang":"en","type":"article","venue":"","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":"Carleton University; Innovation, Science and Economic Development Canada","funders":"Ministère de la Défense Nationale","keywords":"Emulation; Computer science; Software deployment; Network topology; Distributed computing; Interface (matter); Core (optical fiber); Network simulation; Core network; Computer network; Embedded system; Real-time computing; Operating system","score_opus":0.09373008556271142,"score_gpt":0.40963056793834796,"score_spread":0.3159004823756365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906972799","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":[0.25872296,0.000012939996,0.73641527,0.00009013638,0.000014708682,0.00022199222,0.000015363858,0.000031060456,0.004475579],"genre_scores_gemma":[0.98801535,0.0000030840483,0.011532186,0.000067660156,0.000033804354,0.000022870174,0.000024649355,0.0000033912982,0.00029701524],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998984,0.000030818293,0.00038557197,0.0002302861,0.00025963853,0.00010971598],"domain_scores_gemma":[0.9991406,0.0002197498,0.00011281722,0.00029457608,0.00019244543,0.00003977764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085886713,0.00005578064,0.00013424989,0.00010210282,0.00006128336,0.00003688424,0.00015830852,0.000064772954,0.00017593961],"category_scores_gemma":[0.00013572986,0.000041113617,0.000025138192,0.0008586873,0.00008891036,0.00010713039,0.00007211071,0.000047338046,0.000007955884],"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":[0.00009102733,0.0005520722,0.75448275,0.000006861318,0.000010235507,3.522288e-7,0.001204145,0.011328813,0.00086896337,0.14483099,0.018647384,0.06797642],"study_design_scores_gemma":[0.00020898138,0.000024110172,0.1667627,0.0000028483162,0.0000018369963,5.8447296e-7,0.0001959592,0.8115119,0.0002295555,0.016351692,0.004656989,0.000052881816],"about_ca_topic_score_codex":0.000028819944,"about_ca_topic_score_gemma":0.000059598413,"teacher_disagreement_score":0.80018306,"about_ca_system_score_codex":0.000009009495,"about_ca_system_score_gemma":0.000008738505,"threshold_uncertainty_score":0.19264154},"labels":[],"label_agreement":null},{"id":"W2909880774","doi":"10.4018/978-1-5225-6164-4.ch002","title":"Simultaneous Modelling-to-Generate-Alternatives Procedure Employing the Firefly Algorithm","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"York University","funders":"","keywords":"Firefly algorithm; Benchmark (surveying); Mathematical optimization; Computer science; Firefly protocol; Metaheuristic; Algorithm; Mathematics","score_opus":0.02456588948920934,"score_gpt":0.3224614969022682,"score_spread":0.29789560741305887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909880774","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036086468,0.23691799,0.34697947,0.0014259367,0.0012544879,0.008604113,0.00054098817,0.0006287768,0.40328738],"genre_scores_gemma":[0.020342689,0.7068085,0.005634585,0.0018531962,0.00077290076,0.0024561228,0.00031905714,0.00030021722,0.26151273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9909745,0.00029571445,0.0028598602,0.0032227014,0.0013506605,0.0012966064],"domain_scores_gemma":[0.9960521,0.0007177003,0.00024439683,0.0016112786,0.00096359773,0.00041094344],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0016954783,0.0018281159,0.0017025737,0.0018453859,0.0015239115,0.0007642266,0.0018229651,0.0004985902,0.0009769748],"category_scores_gemma":[0.00001987114,0.0015806602,0.00038979214,0.0011574505,0.0015913334,0.0073441966,0.0005530536,0.0006601149,0.00017524044],"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":[0.0012638046,0.00072152435,0.00009088512,0.0029912104,0.00048028168,0.00018387203,0.014290823,0.009097708,0.00001998713,0.7739022,0.0031171853,0.19384055],"study_design_scores_gemma":[0.0018192775,0.00062818703,0.00007341949,0.0015932326,0.000304844,0.000031850523,0.0019005717,0.0021758322,0.0002483225,0.14329538,0.84624547,0.0016836344],"about_ca_topic_score_codex":0.000008634105,"about_ca_topic_score_gemma":0.0008924665,"teacher_disagreement_score":0.84312826,"about_ca_system_score_codex":0.00033701817,"about_ca_system_score_gemma":0.00008691101,"threshold_uncertainty_score":0.9999363},"labels":[],"label_agreement":null},{"id":"W2912328562","doi":"10.5555/3320516.3320595","title":"A symmetric formalism for discrete event simulation with agents","year":2018,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","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":"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":0.20167636124907773,"score_gpt":0.47199789263400826,"score_spread":0.27032153138493054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912328562","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":[0.057980794,0.0000049289847,0.9358666,0.00054555,0.00014607608,0.00096937775,0.000045203713,0.0001428728,0.004298625],"genre_scores_gemma":[0.9907478,6.5381283e-7,0.0061876625,0.00043197093,0.00022912005,0.00011485041,0.000040498224,0.000021611768,0.0022258246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745595,0.00007452881,0.00074354775,0.00059303606,0.0008491792,0.00028374742],"domain_scores_gemma":[0.9953201,0.0014384731,0.0004066174,0.0007087168,0.0019988983,0.00012722486],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008230813,0.00020440583,0.00024767075,0.0004228795,0.0003327554,0.00037572283,0.0005365196,0.0000991868,0.0010084797],"category_scores_gemma":[0.000799832,0.00014844375,0.00012325442,0.0010211775,0.0001305875,0.0006784952,0.00009283349,0.00008268224,0.0002179197],"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":[0.0005098723,0.0001508487,0.009666603,0.000014281384,0.00005617798,8.5451904e-7,0.002104993,0.7622914,0.00014792485,0.049829736,0.002205679,0.17302166],"study_design_scores_gemma":[0.0006058077,0.00026635244,0.009388178,0.000025952164,0.000017368091,7.650347e-7,0.000098982935,0.9028441,0.00041842024,0.024627315,0.06149782,0.0002089492],"about_ca_topic_score_codex":0.000009982826,"about_ca_topic_score_gemma":0.000023342389,"teacher_disagreement_score":0.93276703,"about_ca_system_score_codex":0.000056138633,"about_ca_system_score_gemma":0.000063752916,"threshold_uncertainty_score":0.99990475},"labels":[],"label_agreement":null},{"id":"W2912612698","doi":"10.5555/3320516.3320732","title":"Unbiased metamodeling via likelihood ratios","year":2018,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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 Waterloo","funders":"","keywords":"Metamodeling; Computer science; Variance (accounting); Design of experiments; Point (geometry); Sensitivity (control systems); Space (punctuation); Machine learning; Data mining; Mathematics; Statistics; Engineering; Software engineering","score_opus":0.20989875901571536,"score_gpt":0.4440971448839016,"score_spread":0.23419838586818625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912612698","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":[0.05771041,0.0000074521113,0.9309662,0.0008915152,0.00020265549,0.00031620823,0.000009973105,0.00021670856,0.009678884],"genre_scores_gemma":[0.9890497,7.650511e-7,0.008509579,0.00082679046,0.0002820073,0.000028730778,0.000014830209,0.000014937594,0.0012726885],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974247,0.00013163975,0.0008124784,0.00058281294,0.00080161693,0.00024673724],"domain_scores_gemma":[0.99607444,0.00076278526,0.00027858163,0.000861299,0.0018902131,0.00013267937],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010304942,0.00017358044,0.00023563259,0.00026157347,0.0002760155,0.00040756364,0.0006516412,0.00009904443,0.004417355],"category_scores_gemma":[0.0007473396,0.00014258451,0.00011735391,0.0007046129,0.00013516423,0.00054605864,0.000117863645,0.00011855219,0.0017564166],"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":[0.00018230648,0.00031652267,0.01278269,0.000007409312,0.000079277364,0.0000027546555,0.0041120597,0.11099661,0.021742254,0.037287164,0.008611768,0.8038792],"study_design_scores_gemma":[0.00023676518,0.000058665646,0.0017036162,0.000011082861,0.000009959893,9.1898346e-7,0.00008919266,0.8959578,0.005054659,0.073965006,0.022739658,0.00017264718],"about_ca_topic_score_codex":0.000019154004,"about_ca_topic_score_gemma":0.00004201907,"teacher_disagreement_score":0.93133926,"about_ca_system_score_codex":0.000032901524,"about_ca_system_score_gemma":0.00007351104,"threshold_uncertainty_score":0.9990208},"labels":[],"label_agreement":null},{"id":"W2912646775","doi":"","title":"Proceedings of the 19th Communications & Networking Symposium","year":2016,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Telecommunications; Pleasure; State (computer science); Jet propulsion; Aeronautics; Operations research; Computer science; Engineering; Engineering ethics; Aerospace engineering; Psychology","score_opus":0.17517541068673717,"score_gpt":0.4122806358787082,"score_spread":0.23710522519197105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912646775","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":[0.8308914,0.000046195226,0.14479584,0.0074097374,0.00029509107,0.0010459858,0.00001810074,0.00025584325,0.015241823],"genre_scores_gemma":[0.9947518,0.000017389226,0.004243376,0.000065162065,0.000052870277,0.000027113067,2.9760656e-7,0.000010523311,0.00083142775],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981982,0.000045983692,0.0006694997,0.0002987089,0.00062051637,0.00016706123],"domain_scores_gemma":[0.99559695,0.0018902,0.0004993679,0.0010585787,0.0009005684,0.000054314987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008747748,0.00011231784,0.00016592488,0.00011237453,0.00029398786,0.000109348526,0.0015838897,0.00006862568,0.000072637085],"category_scores_gemma":[0.00086191786,0.000060590064,0.00010643746,0.00064453675,0.0002453769,0.0003078098,0.0004413911,0.000095739764,0.000046803947],"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":[0.000016151838,0.00010529403,0.53691715,0.0000075863118,0.000015850806,3.7258108e-8,0.00061578746,0.013327383,0.09029582,0.21551095,0.00013443451,0.14305355],"study_design_scores_gemma":[0.00059299887,0.000023816347,0.28842473,0.0002470525,0.00002465968,6.9996435e-7,0.00015750565,0.5947501,0.01880575,0.042103477,0.054571126,0.0002980996],"about_ca_topic_score_codex":0.00002979406,"about_ca_topic_score_gemma":0.000011312665,"teacher_disagreement_score":0.5814227,"about_ca_system_score_codex":0.000040727362,"about_ca_system_score_gemma":0.00004285889,"threshold_uncertainty_score":0.29432875},"labels":[],"label_agreement":null},{"id":"W2913602916","doi":"","title":"Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation","year":2016,"lang":"en","type":"article","venue":"Principles of Advanced Discrete Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Calgary","funders":"","keywords":"Publicity; Special Interest Group; Computer science; Library science; Recreation; Operations research; Engineering; Political science; Law","score_opus":0.09976598287383928,"score_gpt":0.3979667994672248,"score_spread":0.2982008165933855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913602916","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":[0.9477549,0.000045548004,0.042612087,0.0008660571,0.00013556205,0.0018027208,0.0005427154,0.000119699325,0.0061207],"genre_scores_gemma":[0.9892929,0.00003441571,0.008656867,0.000028055652,0.000051465635,0.000058895494,0.000013353368,0.00003760126,0.0018264309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99486566,0.0000955476,0.002066151,0.0008044213,0.0018121339,0.00035611074],"domain_scores_gemma":[0.9898542,0.003315235,0.0027643086,0.0014198632,0.0025186422,0.00012774704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011052823,0.00036648448,0.0006589406,0.00033884312,0.00020127944,0.00004297174,0.0016005812,0.00018371474,0.0001376802],"category_scores_gemma":[0.008014551,0.00021235377,0.0003319996,0.0010243542,0.00047904233,0.0012815306,0.0005824018,0.00015238656,0.000014275167],"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":[0.00045376056,0.00009353407,0.008173215,0.000038799022,0.000020894124,7.156956e-8,0.0005726244,0.8299382,0.058521193,0.05961769,0.000009937546,0.042560086],"study_design_scores_gemma":[0.003942258,0.0008942225,0.1970038,0.0015803806,0.00010178747,9.3802447e-7,0.0023776735,0.36125603,0.30495843,0.105466135,0.021415845,0.00100249],"about_ca_topic_score_codex":0.000007734352,"about_ca_topic_score_gemma":0.000009391578,"teacher_disagreement_score":0.46868214,"about_ca_system_score_codex":0.00009611348,"about_ca_system_score_gemma":0.000125809,"threshold_uncertainty_score":0.9594745},"labels":[],"label_agreement":null},{"id":"W2914708081","doi":"","title":"Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":"Carleton University","funders":"","keywords":"Presentation (obstetrics); Library science; Computer science; Operations research; Engineering","score_opus":0.1895902227646479,"score_gpt":0.42280095085070757,"score_spread":0.23321072808605967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914708081","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":[0.92904353,0.0000021943854,0.0048427116,0.0016780045,0.000022669576,0.0007349759,0.000008783139,0.00004239012,0.063624725],"genre_scores_gemma":[0.9913221,0.0000016212749,0.0040195393,0.00007290139,0.000008989472,0.00003900061,6.826054e-7,0.000004417672,0.004530756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985761,0.000011652336,0.00050216465,0.00020649777,0.0006203687,0.00008320855],"domain_scores_gemma":[0.997495,0.00068281917,0.00039893648,0.0004758856,0.0009151618,0.00003218065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003171469,0.00007313604,0.00014267724,0.000090849986,0.00006976172,0.000052231466,0.0007903192,0.00004210367,0.0007708215],"category_scores_gemma":[0.0016204906,0.000038201742,0.00007005295,0.00060029916,0.00010882695,0.00025098165,0.00016939128,0.000052733376,0.000038582828],"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":[0.000024875426,0.00011014492,0.027436199,0.000012509212,0.000007926037,9.873273e-9,0.0005861276,0.04838773,0.08144501,0.8011814,0.001314227,0.03949389],"study_design_scores_gemma":[0.00035475226,0.0001464705,0.243221,0.00007066389,0.000008407373,2.2023104e-7,0.0017332719,0.24259602,0.2268092,0.27309558,0.011771521,0.00019288324],"about_ca_topic_score_codex":0.000016942417,"about_ca_topic_score_gemma":0.0000026777236,"teacher_disagreement_score":0.52808577,"about_ca_system_score_codex":0.000009282176,"about_ca_system_score_gemma":0.000019346564,"threshold_uncertainty_score":0.8439955},"labels":[],"label_agreement":null},{"id":"W2915022135","doi":"10.5555/3320516.3320687","title":"Building partial differential equations models using cell-devs","year":2018,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Partial differential equation; Petri net; Ordinary differential equation; Computer science; Cellular automaton; Modelica; Formalism (music); Applied mathematics; Hybrid system; Mathematical optimization; Modeling and simulation; Theoretical computer science; Differential equation; Computational science; Algorithm; Mathematics; Simulation; Mathematical analysis","score_opus":0.333047771524236,"score_gpt":0.46441183501658045,"score_spread":0.13136406349234447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915022135","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":[0.1423404,0.000004983492,0.8537111,0.00015480656,0.00027562154,0.00027663604,0.000019363142,0.00015142723,0.0030656515],"genre_scores_gemma":[0.9840219,4.9244545e-7,0.014532118,0.0001458934,0.00041329258,0.000019252922,0.000009295596,0.0000179551,0.0008398166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730617,0.00013231015,0.00082035636,0.00060230156,0.0008536246,0.00028522714],"domain_scores_gemma":[0.99669003,0.0008447841,0.0003360889,0.00073320395,0.0012599505,0.00013590982],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047708533,0.00019491704,0.00023446615,0.00028693103,0.00044064858,0.0005454159,0.000641028,0.000119421165,0.0026307215],"category_scores_gemma":[0.00040312964,0.00016988079,0.00012773166,0.0006037988,0.00017588821,0.0007788833,0.0001943252,0.00013131733,0.00023644695],"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":[0.00006635735,0.00017589591,0.0008294646,0.000004360132,0.0000197397,8.769214e-7,0.0017850245,0.7525333,0.025785595,0.18525738,0.00069177215,0.0328502],"study_design_scores_gemma":[0.00025547997,0.000037014564,0.0002372201,0.000014319523,0.00001455492,5.5133137e-7,0.000072373674,0.9309079,0.0071360557,0.058442682,0.0026902081,0.00019166332],"about_ca_topic_score_codex":0.00003470478,"about_ca_topic_score_gemma":0.000010954454,"teacher_disagreement_score":0.8416815,"about_ca_system_score_codex":0.00005425885,"about_ca_system_score_gemma":0.00009439229,"threshold_uncertainty_score":0.998281},"labels":[],"label_agreement":null},{"id":"W2917810453","doi":"","title":"Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grand Challenges; Computer science; Modeling and simulation; Software; Power (physics); Product (mathematics); Simulation modeling; Operations research; Simulation; Engineering; Mathematical economics; Operating system","score_opus":0.43990406611339256,"score_gpt":0.4045812911125665,"score_spread":0.035322775000826034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917810453","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":[0.7950008,0.00004457875,0.026960583,0.0007572893,0.000023377861,0.00031696926,0.0000020431387,0.000049443042,0.17684492],"genre_scores_gemma":[0.9981253,0.000029820447,0.0013004632,0.00004475007,0.000007041595,0.000007636601,6.114302e-8,0.0000026785933,0.0004822342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992602,0.0000070401206,0.00022020207,0.00017220055,0.00028766887,0.00005271469],"domain_scores_gemma":[0.99927205,0.00013233192,0.00009389256,0.00014603036,0.00033249726,0.000023227996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042929334,0.000048790665,0.00007851775,0.00005471358,0.00007108177,0.000024526122,0.00020933703,0.000035349905,0.00020422746],"category_scores_gemma":[0.00011388415,0.000025957224,0.000025986908,0.00009531779,0.000045289515,0.00012266065,0.000048974693,0.000038140322,0.000011376338],"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":[0.000041656247,0.00010164798,0.004316476,0.0000075516396,0.0000061457167,2.5311229e-8,0.004428266,0.009584958,0.0006542145,0.9141547,0.00037470314,0.06632966],"study_design_scores_gemma":[0.0000948231,0.000034710763,0.0084711835,0.000009599835,0.0000034346,2.6170588e-7,0.0005904482,0.5924311,0.0029834274,0.39498904,0.00033866544,0.000053276475],"about_ca_topic_score_codex":0.000016440034,"about_ca_topic_score_gemma":0.000004920568,"teacher_disagreement_score":0.58284616,"about_ca_system_score_codex":0.0000025351674,"about_ca_system_score_gemma":0.000005940029,"threshold_uncertainty_score":0.22361474},"labels":[],"label_agreement":null},{"id":"W2924415364","doi":"10.1049/pbpc018e_ch1","title":"Modeling and simulation: the essence and increasing importance","year":2019,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Simulation Techniques and Applications","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":"University of Ottawa","funders":"","keywords":"Computer science; Perception; Ontology; Entertainment; Variable (mathematics); Management science; Human–computer interaction; Epistemology; Engineering; Mathematics; Political science","score_opus":0.043546452628588424,"score_gpt":0.30635230431986116,"score_spread":0.26280585169127274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924415364","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":[0.2316886,0.003299003,0.66230947,0.001125894,0.00022776064,0.0012611372,0.00004275927,0.0006520828,0.09939327],"genre_scores_gemma":[0.99474776,0.00005510915,0.0013207948,0.000016998303,0.000021327862,0.0000072031257,0.0000013410847,0.000011136595,0.0038183548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896955,0.0000050420795,0.00041355065,0.0003193946,0.00020318548,0.000089245594],"domain_scores_gemma":[0.9989349,0.00030733162,0.00015964791,0.00039467812,0.00017411521,0.000029273231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004563368,0.00015559395,0.00024943246,0.00034265156,0.0001549731,0.000046022466,0.00017201227,0.00030123803,0.000004427608],"category_scores_gemma":[0.00028643597,0.00011680529,0.000024975832,0.000061253144,0.00031956143,0.000061123006,0.00014311812,0.0002488046,0.0000015915011],"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":[0.0000028052214,0.0000010346195,0.0002088898,0.000012560534,0.000009110652,7.2068144e-7,0.000018178944,0.04196714,0.0002231602,0.9455748,0.0000025306715,0.011979078],"study_design_scores_gemma":[0.00012990984,0.00002547065,0.000082842635,0.00016211474,0.000024693789,0.000042984175,0.000027574626,0.7628999,0.00011250838,0.21844402,0.017863901,0.00018408673],"about_ca_topic_score_codex":0.0000067814967,"about_ca_topic_score_gemma":0.0000030747672,"teacher_disagreement_score":0.76305914,"about_ca_system_score_codex":0.0000123999325,"about_ca_system_score_gemma":0.000039005834,"threshold_uncertainty_score":0.47631815},"labels":[],"label_agreement":null},{"id":"W2926077667","doi":"10.1145/3302509.3313327","title":"Event stream abstraction using nfer","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"University of Waterloo","funders":"","keywords":"Computer science; Python (programming language); Variety (cybernetics); Event (particle physics); Programming language; Open source; Abstraction; Stream processing; Software engineering; Complex event processing; Embedded system; Real-time computing; Distributed computing; Software; Artificial intelligence","score_opus":0.1952191993077225,"score_gpt":0.4940184278610794,"score_spread":0.29879922855335694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926077667","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":[0.8243584,0.0000032041144,0.13338342,0.00025441218,0.00009136533,0.00016219523,0.0000016739707,0.00007059022,0.04167473],"genre_scores_gemma":[0.9846935,7.0291225e-7,0.0042201485,0.00011742046,0.00002800381,0.0000032502428,0.0000012247272,0.0000033614883,0.010932369],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910814,0.000013969933,0.00023818848,0.0001813337,0.00038781454,0.00007054025],"domain_scores_gemma":[0.9992654,0.00017203204,0.00007621976,0.00033743377,0.000117180396,0.000031759046],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038529688,0.00004139584,0.00006441219,0.00007774153,0.000047760317,0.000079545236,0.00014589587,0.000033531353,0.0060054907],"category_scores_gemma":[0.000052353535,0.000028945065,0.00004721016,0.00024172888,0.000008131611,0.00017986077,0.000026921525,0.00003842006,0.0021065809],"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":[0.0000221023,0.00033865575,0.14498033,0.0000038977787,0.000018614204,9.0702366e-7,0.0002032235,0.05822094,0.07020179,0.25911808,0.021240916,0.44565052],"study_design_scores_gemma":[0.0003150415,0.000049443584,0.13332102,0.000008426803,0.000008011353,0.000007470914,0.00072181586,0.34483153,0.0293172,0.18856944,0.302574,0.00027661442],"about_ca_topic_score_codex":0.00005554767,"about_ca_topic_score_gemma":0.00000450632,"teacher_disagreement_score":0.44537392,"about_ca_system_score_codex":0.000022102531,"about_ca_system_score_gemma":0.000017108974,"threshold_uncertainty_score":0.9986704},"labels":[],"label_agreement":null},{"id":"W2944001281","doi":"10.1007/978-3-030-17164-3_7","title":"Converting High Level Models into DEVS Modeling and Simulation Applications","year":2019,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Petri net; Computer science; Modelica; Formalism (music); Generality; Programming language; Discrete event simulation; Composability; Modeling and simulation; Theoretical computer science; Simulation; Mathematics","score_opus":0.3028345529024494,"score_gpt":0.5051161236516324,"score_spread":0.20228157074918296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944001281","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":[0.00008990731,0.0008703899,0.9567806,0.0006103577,0.00009349076,0.0041172476,0.0002550858,0.0003602916,0.036822613],"genre_scores_gemma":[0.40289366,0.000650624,0.49151742,0.00071571505,0.00079303427,0.0019063002,0.0015331204,0.0002898772,0.09970025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99356383,0.0002412608,0.0025603026,0.0020216773,0.001197615,0.00041532642],"domain_scores_gemma":[0.9880716,0.00611224,0.0014744324,0.001997747,0.0020025396,0.00034139224],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00313014,0.00076997624,0.0010074655,0.0010777459,0.0017305014,0.00089490064,0.0007363322,0.0007889479,0.00046377425],"category_scores_gemma":[0.0004798632,0.0007769292,0.00026965968,0.0006611932,0.00035808038,0.0011276032,0.000470396,0.00065284356,0.0003266878],"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":[0.000006368202,0.000018691759,0.000016949027,0.000024396062,0.000029119356,5.0597514e-8,0.00008013057,0.4131982,0.000028453924,0.37369648,0.000025370184,0.2128758],"study_design_scores_gemma":[0.0001954001,0.000013087022,0.000017785502,0.000025492574,0.00008984278,0.0000014435183,0.000058159872,0.4482256,0.000007736105,0.40091294,0.15008086,0.0003716713],"about_ca_topic_score_codex":0.00006657457,"about_ca_topic_score_gemma":0.000026469994,"teacher_disagreement_score":0.4652632,"about_ca_system_score_codex":0.00021741597,"about_ca_system_score_gemma":0.00030807336,"threshold_uncertainty_score":0.9995691},"labels":[],"label_agreement":null},{"id":"W2944586601","doi":"10.1007/978-3-030-17164-3_4","title":"Over Fifty Years of My Involvement in Simulation","year":2019,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Terminology; Computer science; Simulation modeling; Quality (philosophy); Similarity (geometry); Modeling and simulation; Psychology; Simulation; Artificial intelligence; Epistemology","score_opus":0.1835879969968467,"score_gpt":0.5116636871189035,"score_spread":0.32807569012205684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944586601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010068279,0.00046230303,0.9123377,0.0002396206,0.00013552447,0.0035929568,0.0002561008,0.0001276815,0.08184125],"genre_scores_gemma":[0.6365668,0.000522185,0.158889,0.0005957631,0.0005068513,0.0007883401,0.0013220564,0.00023561117,0.20057338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995269,0.00020768969,0.0021889126,0.0010628868,0.0010328023,0.00023873126],"domain_scores_gemma":[0.9895177,0.0066159205,0.0014498401,0.0015115514,0.00078187714,0.00012309784],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003043009,0.0003793615,0.0007596202,0.0011827914,0.00020515245,0.00020703035,0.00054832856,0.00047826162,0.0015150222],"category_scores_gemma":[0.00063485256,0.00040271197,0.0002523551,0.00069584255,0.00023499098,0.0004146838,0.00023139037,0.0003769665,0.00019693619],"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":[0.000013782639,0.0000664481,0.0007642939,0.000027426462,0.000027825692,1.4094297e-7,0.0001577792,0.21048804,0.00008540975,0.41716725,0.00013549834,0.37106612],"study_design_scores_gemma":[0.0003166141,0.000024905288,0.0039329594,0.000044225693,0.00004334208,2.6699558e-7,0.000045676505,0.20300135,0.000020218,0.30840835,0.483878,0.00028411628],"about_ca_topic_score_codex":0.000034948447,"about_ca_topic_score_gemma":0.00003648531,"teacher_disagreement_score":0.7534487,"about_ca_system_score_codex":0.00016429904,"about_ca_system_score_gemma":0.00022531569,"threshold_uncertainty_score":0.99984246},"labels":[],"label_agreement":null},{"id":"W2948712564","doi":"10.1155/2019/9195845","title":"Avionics Graphics Hardware Performance Prediction with Machine Learning","year":2019,"lang":"en","type":"article","venue":"Scientific Programming","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Avionics; Computer science; Software; Rendering (computer graphics); Graphical user interface; Hardware architecture; Emulation; Graphics; Computer hardware; Embedded system; Artificial intelligence; Operating system","score_opus":0.05197543250107475,"score_gpt":0.32766331524586273,"score_spread":0.27568788274478795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948712564","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":[0.96369344,0.00012005763,0.032448743,0.00020845016,0.0004778092,0.0007822443,0.000014910621,0.0005002466,0.0017541224],"genre_scores_gemma":[0.980698,0.0000063466277,0.0069909533,0.00002368417,0.000027612768,0.000054982982,0.000059353228,0.000013577159,0.012125492],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973264,0.00005382259,0.00038556542,0.00064349873,0.0013026096,0.00028815822],"domain_scores_gemma":[0.99838066,0.00013647704,0.00021488406,0.00067914726,0.0004947669,0.00009407738],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002636181,0.00012103923,0.0001435089,0.00033404795,0.00078433234,0.0012544421,0.0005102345,0.00006230954,0.00026591425],"category_scores_gemma":[0.00016220326,0.00008553122,0.00006789719,0.0023110432,0.00016989821,0.0006444962,0.00010155536,0.00025875735,0.00037618962],"study_design_candidate":"not_applicable","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":[0.000021070276,0.00007667282,0.5336489,0.000014254458,0.0000086321925,8.0369773e-7,0.00046878253,0.0041843466,0.000514579,0.003994519,0.0006386049,0.45642886],"study_design_scores_gemma":[0.0002497777,0.00015595584,0.009896299,0.00003756218,0.000009399668,0.000009607441,0.00027307545,0.19430056,0.0010524255,0.0010478119,0.7927975,0.00017001056],"about_ca_topic_score_codex":0.000010067641,"about_ca_topic_score_gemma":0.000014032671,"teacher_disagreement_score":0.7921589,"about_ca_system_score_codex":0.000032009924,"about_ca_system_score_gemma":0.00006449473,"threshold_uncertainty_score":0.9997823},"labels":[],"label_agreement":null},{"id":"W2951708261","doi":"10.1049/iet-its.2018.5369","title":"Two‐fold calibration approach for microscopic traffic simulation models","year":2019,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Concordia University","funders":"","keywords":"Fold (higher-order function); Calibration; Computer science; Traffic simulation; Transport engineering; Engineering; Microsimulation; Mathematics; Statistics","score_opus":0.1578593461835636,"score_gpt":0.39480965021774034,"score_spread":0.23695030403417675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951708261","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":[0.17892608,0.00012885407,0.81602603,0.00004735086,0.0003655374,0.0026733172,0.00009575977,0.00019647909,0.0015405897],"genre_scores_gemma":[0.99076253,0.0000076818205,0.0044506546,0.000069957896,0.00013798442,0.000370826,0.00027936345,0.000035256937,0.0038857714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99685854,0.00007108346,0.001256271,0.00071241555,0.0008221165,0.0002795481],"domain_scores_gemma":[0.99793696,0.0005079567,0.00030540634,0.00075468805,0.00038331922,0.0001116675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012565778,0.00022357544,0.0004140389,0.00024386517,0.00014352718,0.00019081119,0.0005310609,0.00016502022,0.000114336886],"category_scores_gemma":[0.000025575204,0.00018446892,0.0002571012,0.00055789883,0.000033691667,0.00047820425,0.000010494201,0.000104649276,0.00009471652],"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":[0.000028984625,0.000085550775,0.0012343003,0.000036944748,0.000012823316,1.3052981e-7,0.00044755032,0.97602177,0.0005885553,0.01982717,0.00019392783,0.0015223097],"study_design_scores_gemma":[0.00030477435,0.000061662846,0.00009912083,0.000023783034,0.00001896385,0.0000013965131,0.0005821583,0.9842716,0.0012297889,0.0030290978,0.010162517,0.00021514118],"about_ca_topic_score_codex":0.000047520607,"about_ca_topic_score_gemma":0.000008700398,"teacher_disagreement_score":0.8118364,"about_ca_system_score_codex":0.00007023639,"about_ca_system_score_gemma":0.00006163827,"threshold_uncertainty_score":0.75224245},"labels":[],"label_agreement":null},{"id":"W2956056060","doi":"10.22260/isarc2019/0112","title":"Using Virtual Reality Simulation for Optimizing Traffic Modes Toward Service Level Enhancements.","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Computer science; Service (business); Service level; Level of service; Download; Key (lock); Automation; Transport engineering; Human–computer interaction; World Wide Web; Engineering; Computer security; Business","score_opus":0.40464683865144835,"score_gpt":0.4559612358841783,"score_spread":0.05131439723272996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956056060","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":[0.91032714,0.000007841712,0.08523186,0.0009841523,0.00007849676,0.0011633725,0.00003266159,0.00005745538,0.0021170455],"genre_scores_gemma":[0.9781244,0.0000013941825,0.02104703,0.00020036104,0.000050105275,0.0000357927,0.0000021285998,0.000014603948,0.0005242007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981363,0.00000958156,0.0005908094,0.00037309615,0.0007051093,0.00018512367],"domain_scores_gemma":[0.99765986,0.0004166693,0.0005118706,0.00024282355,0.0011275148,0.000041243147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013216728,0.00012461582,0.00022553414,0.00010480688,0.00017414195,0.00012674829,0.0007908904,0.00007854913,0.000060504335],"category_scores_gemma":[0.00042750154,0.000088251734,0.00014160069,0.00067509164,0.000040687406,0.00047237123,0.00018320231,0.000079217876,0.000012421863],"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":[0.00015015405,0.00010421547,0.0011289902,0.0000650685,0.000023972681,6.3200027e-9,0.0019800235,0.8245411,0.13371293,0.0154864285,0.00059910625,0.022207988],"study_design_scores_gemma":[0.00049265166,0.000037275266,0.0004667335,0.0000402436,0.000019040663,4.1302937e-7,0.0014614383,0.93145794,0.04904384,0.015690755,0.0011639604,0.00012572524],"about_ca_topic_score_codex":0.000020963102,"about_ca_topic_score_gemma":0.0000014166168,"teacher_disagreement_score":0.106916815,"about_ca_system_score_codex":0.00005891218,"about_ca_system_score_gemma":0.00003748253,"threshold_uncertainty_score":0.35988012},"labels":[],"label_agreement":null},{"id":"W2957474029","doi":"10.48550/arxiv.1907.05231","title":"Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Concordia University","funders":"","keywords":"Variance (accounting); State space; Markov chain; Markov decision process; Transformation (genetics); State (computer science); Reinforcement learning; Exponential function; Markov process; Computer science; Invariant (physics); Mathematics; Econometrics; Mathematical optimization; Statistics; Artificial intelligence; Algorithm; Economics","score_opus":0.11530098026363424,"score_gpt":0.2677358387421125,"score_spread":0.15243485847847826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957474029","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":[0.25043768,0.000008894159,0.7461655,0.00010016919,0.000044725886,0.00075207377,0.00008181456,0.00011939609,0.0022897157],"genre_scores_gemma":[0.99315035,0.000043399068,0.0061034216,0.00005855491,0.000013108489,0.000008762384,0.00006331109,0.000017907609,0.00054120354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979877,0.00014300909,0.0005139977,0.0008046043,0.00030335085,0.00024735837],"domain_scores_gemma":[0.99685717,0.0008918736,0.0006265223,0.0008824878,0.00065106247,0.00009086938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012012469,0.00024156057,0.00032329196,0.0008045941,0.00017847079,0.00017753529,0.0007992601,0.00019174696,0.000111534166],"category_scores_gemma":[0.00022949341,0.0002238289,0.000094315845,0.002256928,0.00009856339,0.0005182248,0.00011807437,0.0004701376,0.00010973953],"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":[0.00007699386,0.00007056369,0.022292688,0.000057096473,0.000012188501,0.000005983028,0.00027296483,0.97151816,0.0000050335857,0.0018968408,0.000036776797,0.0037546838],"study_design_scores_gemma":[0.00059835403,0.000036374076,0.014238616,0.00014043789,0.000041014253,7.351696e-7,0.000152735,0.9062315,0.00022758932,0.07744974,0.000569765,0.00031313667],"about_ca_topic_score_codex":0.00031993428,"about_ca_topic_score_gemma":0.0005686592,"teacher_disagreement_score":0.7427127,"about_ca_system_score_codex":0.0001838341,"about_ca_system_score_gemma":0.00046577168,"threshold_uncertainty_score":0.91274774},"labels":[],"label_agreement":null},{"id":"W2964697259","doi":"10.1037/emo0000647","title":"A negativity bias in detail generation during event simulation.","year":2019,"lang":"en","type":"article","venue":"Emotion","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Toronto Metropolitan University","funders":"","keywords":"Psychology; Negativity effect; Cognitive psychology; Event-related potential; Event (particle physics); Negativity bias; Cognition; Neuroscience","score_opus":0.2274348311656471,"score_gpt":0.43026441343028954,"score_spread":0.20282958226464243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964697259","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":[0.9203681,0.000008711695,0.0778304,0.0003726688,0.00011206044,0.00038343543,0.0000024214046,0.0000626081,0.00085963204],"genre_scores_gemma":[0.9970623,0.000002001959,0.0008140845,0.000056858124,0.000085275424,0.000019622017,0.000011398268,0.0000070590145,0.0019413967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842316,0.00014444494,0.00047261626,0.00033077574,0.0005091821,0.00011983219],"domain_scores_gemma":[0.99893266,0.00030247646,0.00017325503,0.00039878386,0.0001564252,0.00003639811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011221151,0.000080054415,0.00012590237,0.00025754186,0.00008787011,0.000109186636,0.00015451446,0.00006554075,0.00074069545],"category_scores_gemma":[0.00050993764,0.00006973755,0.0000609198,0.0007377342,0.00001230515,0.0004325313,0.00004102655,0.00008354231,0.0007415471],"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":[0.000009699811,0.00008832466,0.1898829,0.0000033817223,0.0000021189323,4.7586812e-7,0.00035737242,0.7583782,0.01597348,0.0023920587,0.00018529012,0.032726683],"study_design_scores_gemma":[0.00023717883,0.000013524216,0.4122706,0.0000067260758,0.0000011431391,5.6743085e-7,0.000039220366,0.5764288,0.003953952,0.005892937,0.0010805065,0.00007487862],"about_ca_topic_score_codex":0.000031169446,"about_ca_topic_score_gemma":0.00004939245,"teacher_disagreement_score":0.2223877,"about_ca_system_score_codex":0.000088497196,"about_ca_system_score_gemma":0.000021381922,"threshold_uncertainty_score":0.95313346},"labels":[],"label_agreement":null},{"id":"W2965597477","doi":"10.15530/urtec-2019-396","title":"Why Most Models Fail: The Importance of Blind Validation","year":2019,"lang":"en","type":"article","venue":"Proceedings of the 7th Unconventional Resources Technology Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Computer science","score_opus":0.07921849459820626,"score_gpt":0.3407682537686444,"score_spread":0.2615497591704381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965597477","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":[0.97712934,0.000070135044,0.002184261,0.010520076,0.000056870285,0.0006154779,0.000019672354,0.00007135009,0.009332842],"genre_scores_gemma":[0.9972681,0.000010736439,0.000750496,0.00021448875,0.000014980508,0.000059366284,0.0000020207767,0.000008915355,0.0016709245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99756956,0.000016256035,0.00079476245,0.0003985309,0.0010507302,0.00017018287],"domain_scores_gemma":[0.9961609,0.0003278916,0.0011670913,0.0005082638,0.0018079521,0.000027849725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012453662,0.00013758532,0.00026429206,0.00029985636,0.00015937733,0.00007700485,0.0022818644,0.0001748142,0.00035080852],"category_scores_gemma":[0.0008203773,0.00007913574,0.00014571642,0.0017790528,0.0005935651,0.00030190303,0.00046768942,0.00024319832,0.000019791692],"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":[0.000042931282,0.000057618006,0.14016992,0.000018376839,0.00002785291,3.6826005e-8,0.00024232946,0.0004179806,0.011383209,0.8424991,0.0029838698,0.002156824],"study_design_scores_gemma":[0.00033463753,0.000059489077,0.004264937,0.00006745113,0.000020752348,0.000006091042,0.0015572328,0.010783828,0.04688276,0.9190789,0.016828177,0.00011573649],"about_ca_topic_score_codex":0.00001567012,"about_ca_topic_score_gemma":0.0000056872414,"teacher_disagreement_score":0.13590497,"about_ca_system_score_codex":0.000023319813,"about_ca_system_score_gemma":0.00006795012,"threshold_uncertainty_score":0.424031},"labels":[],"label_agreement":null},{"id":"W2967466392","doi":"10.1109/ice.2019.8792609","title":"Design of a Worldwide Simulation System for Distributed Cyber-Physical Production Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Manitoba","funders":"","keywords":"Cyber-physical system; Computer science; Production (economics); Distributed computing; Computer security; Operating system","score_opus":0.09134220188074238,"score_gpt":0.3897643664982849,"score_spread":0.2984221646175425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967466392","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":[0.05002818,0.000004553957,0.9477678,0.00014503668,0.0001250959,0.001444212,0.000010856739,0.00013212471,0.0003421253],"genre_scores_gemma":[0.99136585,2.6293722e-7,0.0072329463,0.000012959258,0.00010362907,0.00009804528,0.000023427203,0.000008419034,0.0011544833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985969,0.00007243289,0.0004659847,0.00033562057,0.0004061905,0.00012284456],"domain_scores_gemma":[0.9968598,0.0017763163,0.00026177868,0.0005006065,0.0005649358,0.00003656439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010009037,0.00008367352,0.00021463443,0.00010028341,0.00006910225,0.00005082801,0.00022323545,0.00005118878,0.00004172777],"category_scores_gemma":[0.00036268274,0.0000607543,0.00009022004,0.00074403844,0.0000236247,0.0001753055,0.000029166335,0.00004265161,0.0000485569],"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":[0.00003942817,0.00003805396,0.0005911422,0.0000048775914,0.00000451715,1.4881478e-8,0.000029425688,0.97711205,0.0011551403,0.012997639,0.0009768164,0.0070508816],"study_design_scores_gemma":[0.00016479666,0.000050310366,0.0010015959,0.000012322314,0.00000920259,3.369717e-7,0.00011048221,0.985262,0.0046578185,0.00703641,0.0016204629,0.000074312105],"about_ca_topic_score_codex":0.0000057196357,"about_ca_topic_score_gemma":6.8505375e-7,"teacher_disagreement_score":0.94133765,"about_ca_system_score_codex":0.000040878578,"about_ca_system_score_gemma":0.000021028141,"threshold_uncertainty_score":0.24774884},"labels":[],"label_agreement":null},{"id":"W296968223","doi":"","title":"INFUSION: Modeling Robot and Crew Interaction","year":2003,"lang":"en","type":"article","venue":"NASA Technical Reports Server (NASA)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Crew; Arctic; Robot; Computer science; Exploration of Mars; Software; Work (physics); The arctic; Aeronautics; Systems engineering; Engineering; Simulation; Astrobiology; Operating system; Geology; Artificial intelligence","score_opus":0.15565200768101017,"score_gpt":0.424831038050577,"score_spread":0.2691790303695668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W296968223","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":[0.7717554,0.00029974757,0.19605902,0.0012651795,0.00046118768,0.00081587146,0.0000029782836,0.000728176,0.028612444],"genre_scores_gemma":[0.9877535,0.00004364468,0.01071677,0.0003942366,0.00006973274,0.000075104246,0.00000603348,0.00001863332,0.00092230545],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962469,0.00010938915,0.0013361013,0.00084721536,0.0011790261,0.00028140165],"domain_scores_gemma":[0.9971275,0.0004854134,0.0004423286,0.0012378,0.00047970194,0.00022730322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024428845,0.00021241959,0.00034721935,0.00024360644,0.00029548732,0.00029457462,0.00029260828,0.00026755276,0.00068604713],"category_scores_gemma":[0.0034050285,0.00017180233,0.0001649145,0.0008952563,0.000080157515,0.0005272649,0.00021471501,0.00036574574,0.00004753416],"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":[0.0002484489,0.002242487,0.17466138,0.000091318674,0.00013505845,0.00080269895,0.0007027167,0.08520922,0.071755104,0.21909398,0.06837126,0.37668633],"study_design_scores_gemma":[0.00065639574,0.00025709602,0.026645262,0.00014889926,0.0000687109,0.0018820409,0.00042461444,0.07009586,0.006528346,0.4988788,0.39325875,0.001155215],"about_ca_topic_score_codex":0.00005777797,"about_ca_topic_score_gemma":0.00003253192,"teacher_disagreement_score":0.3755311,"about_ca_system_score_codex":0.000082877305,"about_ca_system_score_gemma":0.00008439844,"threshold_uncertainty_score":0.7511735},"labels":[],"label_agreement":null},{"id":"W2972284544","doi":"10.1016/j.cie.2019.106039","title":"Risk management and distributed simulation in Papyrus tool for decision making in industrial context","year":2019,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Université de Bordeaux","keywords":"Interoperability; Context (archaeology); Computer science; Risk analysis (engineering); Outsourcing; Systems engineering; Implementation; Engineering; Software engineering; World Wide Web","score_opus":0.0791977497012345,"score_gpt":0.34181392705544345,"score_spread":0.26261617735420895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972284544","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":[0.54214495,0.000019778307,0.45625785,0.000033519827,0.00040553653,0.0010491357,0.000027712771,0.000047428846,0.000014110615],"genre_scores_gemma":[0.9933928,0.0000041510384,0.0063283835,0.000024664412,0.00014845592,0.00005948557,0.000013999847,0.000014048028,0.000013979843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981105,0.00004737288,0.0007819817,0.00045456155,0.00036346237,0.00024217629],"domain_scores_gemma":[0.9958166,0.0035714454,0.00017954403,0.00032652443,0.000059100505,0.000046823876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013844894,0.00016113845,0.0003045873,0.0005196934,0.00005578877,0.00019207942,0.00029851068,0.00021257276,0.000020510204],"category_scores_gemma":[0.0010556297,0.00015598533,0.00006554584,0.0009190844,0.00001257027,0.00023727988,0.00015368657,0.00027555256,0.000008401391],"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":[0.00006878824,0.000014102268,0.037139196,0.0000017318828,0.0000047677727,9.55012e-7,0.000054110755,0.6200781,0.0000061057976,0.00083537743,0.00015945952,0.34163728],"study_design_scores_gemma":[0.0027688146,0.00004820528,0.030018661,0.00019728277,0.0000064814653,5.053657e-7,0.00009659769,0.9520354,0.000029491684,0.0019912077,0.012612136,0.00019518794],"about_ca_topic_score_codex":0.0000201172,"about_ca_topic_score_gemma":0.0000051569864,"teacher_disagreement_score":0.4512479,"about_ca_system_score_codex":0.0001436632,"about_ca_system_score_gemma":0.000020220283,"threshold_uncertainty_score":0.6360897},"labels":[],"label_agreement":null},{"id":"W2978412295","doi":"","title":"A formal modeling and optimization software","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Software engineering; Formal methods; Software; Programming language","score_opus":0.05451069697871045,"score_gpt":0.3177970322142313,"score_spread":0.2632863352355208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978412295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033402257,0.00030386003,0.95020723,0.003973247,0.00010486184,0.0005177395,0.00006746044,0.00037091918,0.0110524325],"genre_scores_gemma":[0.52534187,0.0002146884,0.47063613,0.00012259463,0.000039933064,0.000104582075,0.00022681348,0.000038000322,0.0032753893],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947089,0.0020366735,0.0009414858,0.0010612285,0.00091997307,0.00033173445],"domain_scores_gemma":[0.989696,0.0020419369,0.0006356258,0.0024445758,0.0049751895,0.00020664591],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010225118,0.00030575844,0.00038446908,0.00036690902,0.00066732714,0.0011369782,0.001470346,0.00036762792,0.00038665775],"category_scores_gemma":[0.0056715054,0.00029064613,0.00017862055,0.0005927897,0.00024510798,0.00039515013,0.0022510255,0.00043545943,0.00005391871],"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":[0.000047996884,0.00081003504,0.0050245,0.00015689599,0.00012430623,0.0000034072982,0.01565205,0.362439,0.00023456295,0.15243909,0.008582765,0.4544854],"study_design_scores_gemma":[0.0002060461,2.985904e-7,0.00019988402,0.0003054682,0.00002100511,0.000004911154,0.00008732998,0.93291885,0.0011152143,0.06093416,0.0039129755,0.00029383655],"about_ca_topic_score_codex":0.00028399218,"about_ca_topic_score_gemma":0.00018520613,"teacher_disagreement_score":0.57047987,"about_ca_system_score_codex":0.00007462028,"about_ca_system_score_gemma":0.00020422511,"threshold_uncertainty_score":0.9999546},"labels":[],"label_agreement":null},{"id":"W2981365683","doi":"10.4095/296957","title":"MAXIMA: software to determine local maxima from gridded data","year":2015,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Maxima; Software; Maxima and minima; Environmental science; Computer science; Geology; Mathematics; Operating system; History; Mathematical analysis","score_opus":0.5904597578324616,"score_gpt":0.5103871258921022,"score_spread":0.0800726319403594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981365683","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":[0.00023221855,0.00028395033,0.8271009,0.0011366513,0.00085085374,0.0010409283,0.006441159,0.0006863646,0.16222699],"genre_scores_gemma":[0.08984801,0.00031361336,0.6154509,0.0051200124,0.005436406,0.00062100514,0.01351254,0.0003829651,0.2693145],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98860216,0.000081097336,0.0015299965,0.0018745121,0.007555068,0.0003571829],"domain_scores_gemma":[0.9870158,0.0012003558,0.0005501303,0.0054084677,0.005330802,0.0004944656],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0055850884,0.00040928953,0.00084389554,0.00043626036,0.0001303241,0.0004831979,0.004662006,0.00047966823,0.0049937754],"category_scores_gemma":[0.01246298,0.0002973328,0.00015964344,0.0009835626,0.00010631688,0.00033253082,0.0027227884,0.00034491994,0.00418107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006159358,0.00002952291,0.00016645872,0.0000018838996,0.000011071889,0.000007391351,0.0000110131705,0.000020925436,0.0000038205594,0.000026636644,0.7178293,0.28188583],"study_design_scores_gemma":[0.00014080436,0.00003413727,0.00047646818,0.000030189063,0.000032543714,0.000018590414,0.00007113334,0.0021210557,0.00010116257,0.03212799,0.9644512,0.00039473083],"about_ca_topic_score_codex":0.0020984036,"about_ca_topic_score_gemma":0.000699817,"teacher_disagreement_score":0.2814911,"about_ca_system_score_codex":0.00043755976,"about_ca_system_score_gemma":0.0022588961,"threshold_uncertainty_score":0.9999479},"labels":[],"label_agreement":null},{"id":"W2989217585","doi":"10.13189/ms.2019.070505","title":"Backward Simulation of Correlated Negative Binomial L'evy Process Process","year":2019,"lang":"en","type":"article","venue":"Mathematics and Statistics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Process (computing); Negative binomial distribution; Binomial (polynomial); Statistics; Applied mathematics; Calculus (dental); Poisson distribution; Computer science","score_opus":0.06650162798444577,"score_gpt":0.420079863181074,"score_spread":0.35357823519662823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989217585","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":[0.4232046,0.000008165281,0.5738722,0.000038509846,0.00004743435,0.0004911198,0.00018875171,0.000032190033,0.0021169928],"genre_scores_gemma":[0.9492723,0.0000038012465,0.050038192,0.000023453867,0.000012274872,0.000013590226,0.00001415006,0.0000124734215,0.00060978293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983082,0.000022677208,0.0006997586,0.0002443068,0.000604372,0.000120684075],"domain_scores_gemma":[0.9965107,0.0018906959,0.0004771864,0.00029972245,0.00076170603,0.00005998439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005127001,0.00011909624,0.00030048777,0.00012329861,0.00007365835,0.00008553993,0.0002175704,0.00007597268,0.00038447056],"category_scores_gemma":[0.0010892618,0.00009120316,0.000029666142,0.00043778413,0.00008266831,0.00011597031,0.00003817472,0.00008600558,0.000079041725],"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":[0.0001673841,0.0010764495,0.02715006,0.0011069173,0.000118999385,0.0000039539277,0.029724374,0.3498094,0.0010691079,0.5020607,0.0033846055,0.08432805],"study_design_scores_gemma":[0.00022857994,0.000055417633,0.0007252865,0.0000246581,0.000012653118,9.408486e-7,0.0008125274,0.6617158,0.0005309535,0.335653,0.00014930831,0.000090840724],"about_ca_topic_score_codex":0.0000038015226,"about_ca_topic_score_gemma":0.0000018738583,"teacher_disagreement_score":0.5260677,"about_ca_system_score_codex":0.000010982022,"about_ca_system_score_gemma":0.000053671647,"threshold_uncertainty_score":0.4209683},"labels":[],"label_agreement":null},{"id":"W2991602565","doi":"10.1109/smc.2019.8914630","title":"Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Concordia University","funders":"","keywords":"Variance (accounting); Markov decision process; State space; Markov chain; Transformation (genetics); Reinforcement learning; Computer science; Markov process; State (computer science); Exponential function; Markov model; Invariant (physics); Mathematical optimization; Econometrics; Mathematics; Statistics; Artificial intelligence; Algorithm; Machine learning; Economics","score_opus":0.03557821950545821,"score_gpt":0.3500579117565214,"score_spread":0.3144796922510632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991602565","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":[0.18593577,0.0000044504345,0.8018187,0.00046735277,0.000013745278,0.0005449648,0.000011004484,0.00009892614,0.011105048],"genre_scores_gemma":[0.9469008,0.0000034368477,0.052283607,0.00016905139,0.000005121675,0.00006265841,0.000011483824,0.0000072735925,0.00055659795],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985047,0.00004433459,0.00049022096,0.0002576402,0.0005517353,0.000151376],"domain_scores_gemma":[0.9982963,0.0007982458,0.0001829563,0.00033176912,0.00034522294,0.000045486035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012211282,0.00009132146,0.0001342357,0.0003281808,0.000094576964,0.00014012035,0.00023793538,0.000038615653,0.0005900845],"category_scores_gemma":[0.00018954973,0.00006274524,0.000025019495,0.0017374865,0.00002891035,0.0005821374,0.000009270116,0.000095279975,0.00023124882],"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":[0.0001924217,0.0003151231,0.23866987,0.00007893122,0.000013858908,0.0000013084281,0.0022621595,0.3722192,0.00064104085,0.008009762,0.00044595468,0.37715036],"study_design_scores_gemma":[0.0009809879,0.00009279561,0.079210594,0.0000532588,0.0000076408205,0.0000018364223,0.0003278057,0.8688812,0.006057195,0.039094876,0.0050349524,0.00025681846],"about_ca_topic_score_codex":0.00013191967,"about_ca_topic_score_gemma":0.00038981668,"teacher_disagreement_score":0.760965,"about_ca_system_score_codex":0.00003317704,"about_ca_system_score_gemma":0.00012064612,"threshold_uncertainty_score":0.6461012},"labels":[],"label_agreement":null},{"id":"W2993890771","doi":"10.1007/s11004-019-09843-3","title":"High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space","year":2019,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"IAMGOLD; Fonds Québécois de la Recherche sur la Nature et les Technologies; AngloGold Ashanti; Natural Sciences and Engineering Research Council of Canada; Newmont Corporation; Barrick Gold Corporation","keywords":"Reproducing kernel Hilbert space; Hilbert space; Kernel (algebra); Mathematics; Statistical learning; Order (exchange); Computer science; Space (punctuation); Applied mathematics; Artificial intelligence; Hydrogeology; Geology; Pure mathematics","score_opus":0.061909450925332184,"score_gpt":0.39325775237451766,"score_spread":0.3313483014491855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993890771","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":[0.38368055,0.000007506142,0.61074215,0.0009194724,0.00013260126,0.00037704507,0.0000031718814,0.000104038045,0.0040334472],"genre_scores_gemma":[0.95061964,0.0000011029696,0.043692946,0.000088736444,0.000050582472,0.000023787066,0.0000042402394,0.000010463431,0.0055084876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99628633,0.00018317123,0.00083484384,0.000910937,0.0014251407,0.00035955396],"domain_scores_gemma":[0.9960894,0.0027018662,0.00022715815,0.00064717827,0.00022145399,0.000112925634],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038928944,0.00015715092,0.00034147152,0.0002661161,0.0001802489,0.0003275058,0.0005634252,0.000092022296,0.0033933474],"category_scores_gemma":[0.005192324,0.00011517624,0.000057110345,0.0015802055,0.000198844,0.00041821154,0.00017593327,0.00023564787,0.0017129733],"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":[0.000030033858,0.00040938833,0.036132615,0.00003931043,0.000007981873,0.000007501833,0.0018223803,0.42777058,0.005142721,0.47264698,0.00036634345,0.05562415],"study_design_scores_gemma":[0.00014864253,0.000050381113,0.010658495,0.000020347896,0.0000036594715,0.0000028114077,0.00026701763,0.66013306,0.00036697037,0.32604626,0.0021465754,0.00015579026],"about_ca_topic_score_codex":0.0001559718,"about_ca_topic_score_gemma":0.000016227019,"teacher_disagreement_score":0.5670492,"about_ca_system_score_codex":0.0000477594,"about_ca_system_score_gemma":0.000067166955,"threshold_uncertainty_score":0.9990643},"labels":[],"label_agreement":null},{"id":"W3004559630","doi":"10.1145/3338530","title":"Extending Explicitly Modelled Simulation Debugging Environments with Dynamic Structure","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Autodesk (Canada)","funders":"Vlaamse regering; Flanders Make","keywords":"Rotation formalisms in three dimensions; Debugging; Computer science; Workflow; Modular design; DEVS; Programming language; Semantics (computer science); NetLogo; Distributed computing; Software engineering; Modeling and simulation; Simulation","score_opus":0.09033757020319406,"score_gpt":0.35236828015438587,"score_spread":0.2620307099511918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004559630","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":[0.1699136,0.00001961712,0.8289737,0.0005485935,0.000035010416,0.00030743203,0.000014516362,0.00017111932,0.000016408967],"genre_scores_gemma":[0.9519235,0.000008737669,0.047423713,0.0004963336,0.000053519925,0.000015187292,0.00001773812,0.000027751288,0.00003355937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786127,0.00007744012,0.0005141358,0.00069371355,0.0006607542,0.00019268497],"domain_scores_gemma":[0.9984818,0.0005894018,0.00014483965,0.00053879083,0.00009738568,0.00014777173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019144977,0.0002277991,0.00023742247,0.0002086587,0.00048953673,0.00022672531,0.00031917225,0.000107980435,0.00007292097],"category_scores_gemma":[0.00003289781,0.00018807389,0.00007417235,0.00045267207,0.00002906068,0.0004724962,0.00002082133,0.00021977468,0.000016374455],"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":[0.00005697079,0.000021712543,0.000034818015,0.000002340004,0.000013106105,3.96563e-7,0.00047261154,0.8468595,0.000118866374,0.000050268533,9.0497474e-7,0.15236849],"study_design_scores_gemma":[0.000520453,0.000117523254,0.000105025356,0.000018829689,0.000030615793,0.0000013847354,0.000049817663,0.98884785,0.000069295886,0.009859982,0.0001625342,0.00021671096],"about_ca_topic_score_codex":0.000006218529,"about_ca_topic_score_gemma":0.000002880254,"teacher_disagreement_score":0.78200984,"about_ca_system_score_codex":0.000048631882,"about_ca_system_score_gemma":0.000016860793,"threshold_uncertainty_score":0.76694304},"labels":[],"label_agreement":null},{"id":"W3007748449","doi":"10.1109/wsc40007.2019.9004917","title":"Building Devs Models with the Cadmium Tool","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":47,"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; Modular design; Computer science; Discrete event simulation; Formalism (music); Header; Interface (matter); Distributed computing; Programming language; Theoretical computer science; Modeling and simulation; Simulation; Parallel computing; Computer network","score_opus":0.10241553608185831,"score_gpt":0.398627888074729,"score_spread":0.29621235199287066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007748449","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":[0.26303294,0.000005745394,0.67234504,0.002843286,0.000017614253,0.00024979276,0.0000012233802,0.00007530116,0.061429042],"genre_scores_gemma":[0.9607177,5.5359413e-7,0.023584213,0.0008553073,0.0000146643915,0.000021604426,2.8509052e-7,0.0000044981443,0.014801213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902177,0.000019392919,0.00016457665,0.00019745785,0.00050113065,0.00009567887],"domain_scores_gemma":[0.99874854,0.00045729039,0.000060662132,0.0005603556,0.0001490934,0.000024079964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006309544,0.000052060837,0.00007205724,0.000044632216,0.00009736667,0.00015874435,0.00043822368,0.000024192685,0.00087681436],"category_scores_gemma":[0.000035747686,0.000022270991,0.00003118491,0.00040417063,0.000024889587,0.00021915596,0.000059758724,0.000053504205,0.00039176643],"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":[0.000005184308,0.000009099042,0.0018607744,3.2688652e-7,0.0000028816282,1.287839e-7,0.000082479586,0.018502219,0.0005199638,0.9527675,0.014451743,0.011797685],"study_design_scores_gemma":[0.00021438165,0.00004763749,0.00331842,0.000004411552,0.000005469947,0.0000057288516,0.0005027355,0.34545904,0.0048851264,0.38334388,0.2620263,0.00018684487],"about_ca_topic_score_codex":0.000028128172,"about_ca_topic_score_gemma":0.000009421438,"teacher_disagreement_score":0.6976847,"about_ca_system_score_codex":0.000009221239,"about_ca_system_score_gemma":0.00002688633,"threshold_uncertainty_score":0.9600502},"labels":[],"label_agreement":null},{"id":"W3008804997","doi":"10.1109/wsc40007.2019.9004689","title":"Investigation of Versatile Datatypes for Representing Time in Discrete Event Simulation","year":2019,"lang":"en","type":"article","venue":"","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":"Carleton University","funders":"","keywords":"Timeline; Computer science; Event (particle physics); Discrete event simulation; Range (aeronautics); Point (geometry); Algorithm; Theoretical computer science; Simulation; Mathematics; Statistics","score_opus":0.13352509886293626,"score_gpt":0.44660053637200525,"score_spread":0.31307543750906897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008804997","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":[0.8691482,0.000004921815,0.1268873,0.0003657897,0.000029472889,0.00075361494,0.000020230163,0.00003476906,0.0027557027],"genre_scores_gemma":[0.9891649,3.416086e-7,0.0071924343,0.000036980866,0.000012113364,0.00002066113,0.000040779072,0.0000044927483,0.0035273195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988409,0.00003879674,0.00048377994,0.00023668676,0.0003227085,0.000077107914],"domain_scores_gemma":[0.99772835,0.0014926828,0.00020213165,0.00039444398,0.00016005752,0.000022333714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011491994,0.00004698251,0.00012033519,0.00015242805,0.000025653684,0.000032394473,0.00019596219,0.00003449687,0.000574195],"category_scores_gemma":[0.00072852866,0.000037118276,0.000045133278,0.00041596114,0.000019988935,0.00028985305,0.000052809228,0.000026082445,0.00012029355],"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":[0.0000733546,0.00003529888,0.41951397,0.000022062912,0.0000107342885,8.283367e-8,0.00082530634,0.47729233,0.04247945,0.031943105,0.0046920283,0.023112282],"study_design_scores_gemma":[0.00022389033,0.000022032757,0.030846301,0.000010608866,0.000002226119,4.3908866e-8,0.000107895816,0.9008522,0.01134833,0.05342137,0.0031099115,0.00005520168],"about_ca_topic_score_codex":0.000037645026,"about_ca_topic_score_gemma":0.000006364527,"teacher_disagreement_score":0.42355984,"about_ca_system_score_codex":0.0000143192265,"about_ca_system_score_gemma":0.000020097976,"threshold_uncertainty_score":0.6287033},"labels":[],"label_agreement":null},{"id":"W3014056926","doi":"10.18280/isi.250101","title":"A Generic Modeling Approach for E-Administration Based on Holonic Systems - Case Study of Collective Move Due to a Natural Disaster","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural disaster; Administration (probate law); Natural (archaeology); Computer science; Business; Political science; Geography; Meteorology; Law","score_opus":0.11831975293036781,"score_gpt":0.3537175164441022,"score_spread":0.2353977635137344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014056926","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":[0.46129006,0.0000057816546,0.53620625,0.00003954012,0.000042474494,0.0018763904,0.000052034095,0.000054010543,0.0004334434],"genre_scores_gemma":[0.9910454,1.3776713e-7,0.007605889,0.00024963435,0.000047289323,0.0009646472,0.0000560087,0.000010907162,0.00002005256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977538,0.00011123415,0.0010719287,0.00027035823,0.00062563276,0.00016703592],"domain_scores_gemma":[0.9979448,0.00031548747,0.00044987924,0.00034950586,0.00083227485,0.00010808555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007600437,0.0001632672,0.00031873258,0.00032918438,0.00028924222,0.00036494847,0.0002677099,0.00007457907,0.0000044383287],"category_scores_gemma":[0.0008817336,0.00013448882,0.00008731211,0.0013009349,0.000028124832,0.00084460963,0.000044400465,0.000088091234,0.000009711238],"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":[0.0003364075,0.00017063835,0.0001637945,0.00009416356,0.000019456173,0.0000050461063,0.027634284,0.96030676,0.000064732936,0.00043621153,0.0003954339,0.0103730755],"study_design_scores_gemma":[0.00056612375,0.0010457735,0.000074274874,0.000018366356,0.000015871603,0.00004028453,0.031839706,0.9657565,0.00015737273,0.00027173632,0.00007265019,0.00014134757],"about_ca_topic_score_codex":0.00006696359,"about_ca_topic_score_gemma":0.000007058422,"teacher_disagreement_score":0.52975535,"about_ca_system_score_codex":0.00017850609,"about_ca_system_score_gemma":0.00014359485,"threshold_uncertainty_score":0.5484295},"labels":[],"label_agreement":null},{"id":"W3015697860","doi":"10.1109/tcss.2020.2982885","title":"Cell-DEVS for Social Phenomena Modeling","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"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; Formalism (music); Computer science; Discrete event simulation; Systems modeling; Distributed computing; System requirements specification; Complex system; Event (particle physics); Social system; Modeling and simulation; Formal specification; Theoretical computer science; Software engineering; Artificial intelligence; Simulation","score_opus":0.23792227908814206,"score_gpt":0.40436905234747117,"score_spread":0.1664467732593291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015697860","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":[0.005513429,0.000014332896,0.98827255,0.0035418195,0.00030128617,0.0007323508,0.00028205523,0.00020903302,0.0011331673],"genre_scores_gemma":[0.9956197,6.2972526e-7,0.0023590843,0.0005706636,0.0007902242,0.00027978895,0.000019702518,0.000024427633,0.00033574842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976193,0.00010036588,0.00070490147,0.00043738575,0.0009361593,0.00020188958],"domain_scores_gemma":[0.99839807,0.0006362644,0.00020215385,0.000092656854,0.00056105625,0.00010981138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044485953,0.00015553895,0.0002826764,0.00011490975,0.0012786724,0.00026372678,0.00033873148,0.00011875229,0.00007612234],"category_scores_gemma":[0.00001930372,0.00015125373,0.0002701952,0.0006463457,0.00004458218,0.00016758752,0.0000020903828,0.00014711381,0.0001517688],"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":[0.000038666807,0.000073981115,0.0000018411299,0.000010388818,0.000016970458,1.3625295e-7,0.0016950932,0.9794997,0.0000839683,0.0067297774,0.0047118966,0.007137559],"study_design_scores_gemma":[0.0004993946,0.000051527,0.000013241282,0.0000027479746,0.000016451086,4.3754906e-7,0.0011114404,0.979808,0.000071186536,0.010133724,0.008118311,0.00017353668],"about_ca_topic_score_codex":0.000032330525,"about_ca_topic_score_gemma":0.000001532097,"teacher_disagreement_score":0.9901063,"about_ca_system_score_codex":0.00009131108,"about_ca_system_score_gemma":0.0000948068,"threshold_uncertainty_score":0.9834643},"labels":[],"label_agreement":null},{"id":"W3033563654","doi":"","title":"Validating Monte Carlo","year":2009,"lang":"en","type":"article","venue":"Acta Physica Polonica B","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Physics; Monte Carlo method; Statistical physics; Monte Carlo molecular modeling; Nuclear physics; Markov chain Monte Carlo; Statistics","score_opus":0.1047311988454875,"score_gpt":0.4259410410175165,"score_spread":0.321209842172029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033563654","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":[0.8462341,0.00003934467,0.0006194587,0.10952343,0.00007829165,0.00033507225,0.000020872258,0.00039670226,0.042752746],"genre_scores_gemma":[0.99585646,0.0000041329795,0.0016971597,0.0010020823,0.00014289744,0.000012464735,0.0000022033619,0.000007271683,0.001275324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845326,0.00005517095,0.00036420082,0.00036471064,0.0005502218,0.00021241253],"domain_scores_gemma":[0.9982116,0.0004933434,0.00018148594,0.0008817569,0.00014746042,0.00008435507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040737653,0.0001064431,0.00018568858,0.00007696705,0.00019680354,0.00016373652,0.0007063842,0.00004738051,0.00012752172],"category_scores_gemma":[0.00040161685,0.000084115636,0.00012410524,0.00064198894,0.00004559116,0.00025710117,0.00006766174,0.00011725516,0.0002694396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002041583,0.00039215697,0.00096639775,0.000001161116,0.000020238285,0.0000027777976,0.00090907345,0.0006521796,0.04240666,0.07964931,0.75347966,0.121499985],"study_design_scores_gemma":[0.00027714117,0.00015381095,0.03448594,0.000010805952,0.000016593667,0.0000035809785,0.00015963598,0.010636273,0.013637935,0.07590794,0.8643746,0.00033575814],"about_ca_topic_score_codex":0.00002991333,"about_ca_topic_score_gemma":0.0000023503574,"teacher_disagreement_score":0.14962238,"about_ca_system_score_codex":0.000025858973,"about_ca_system_score_gemma":0.000034384742,"threshold_uncertainty_score":0.34631908},"labels":[],"label_agreement":null},{"id":"W3034244398","doi":"10.22215/etd/2016-11564","title":"Discrete Event Simulation of Long Term Evolution Networks","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"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; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upload; Computer science; Modular design; Term (time); Enhanced Data Rates for GSM Evolution; Event (particle physics); Distributed computing; Protocol stack; Protocol (science); Computer network; Real-time computing; Artificial intelligence; Operating system","score_opus":0.05293571591629112,"score_gpt":0.44262091084492533,"score_spread":0.3896851949286342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034244398","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":[0.0404241,0.00015755535,0.9379118,0.00007207436,0.0003930732,0.0006587934,0.000027750799,0.00011703402,0.02023779],"genre_scores_gemma":[0.9535736,0.000022388955,0.00027794612,0.000015017666,0.00016952032,0.000056053585,0.00032275947,0.000025025603,0.045537718],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99676955,0.0000921129,0.0012572652,0.00054285227,0.001143621,0.00019462971],"domain_scores_gemma":[0.99625176,0.0009469478,0.0010407078,0.0008405862,0.0008404608,0.000079554244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000883375,0.00022269643,0.00038212189,0.0003886661,0.00014687142,0.000080301696,0.0005712715,0.0003599402,0.0016203271],"category_scores_gemma":[0.00041996903,0.00014582426,0.00028147094,0.0006025684,0.00004142542,0.0002611371,0.000043242304,0.00013546784,0.00011354988],"study_design_candidate":"design_other","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":[0.00023534843,0.00016994789,0.034911986,0.00005037253,0.00008002873,0.0000014457291,0.00029948115,0.2047171,0.0013354456,0.029045206,0.0034642518,0.7256894],"study_design_scores_gemma":[0.0005368092,0.000110845394,0.59259486,0.0003868587,0.00010176837,0.0000010536311,0.0002596647,0.3214546,0.0034047028,0.078344576,0.0020758347,0.00072841835],"about_ca_topic_score_codex":0.000025419802,"about_ca_topic_score_gemma":0.00008767226,"teacher_disagreement_score":0.9376339,"about_ca_system_score_codex":0.000092962866,"about_ca_system_score_gemma":0.000080474034,"threshold_uncertainty_score":0.9992923},"labels":[],"label_agreement":null},{"id":"W3035267214","doi":"10.5267/j.msl.2020.6.009","title":"A mathematical and testing tool for personal human capital research assessment","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Human capital; Economics","score_opus":0.37854313195539435,"score_gpt":0.5182303138291031,"score_spread":0.13968718187370877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035267214","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":[0.7946365,0.0000015096339,0.16634785,0.034725517,0.000015225273,0.0007681171,0.000003452275,0.00006186744,0.0034399482],"genre_scores_gemma":[0.9398379,2.1048847e-7,0.057101216,0.002692286,0.00005143542,0.00014551175,8.121413e-7,0.0000051518646,0.00016547726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970367,0.00004053795,0.00029463487,0.00060063787,0.0017094658,0.00031805536],"domain_scores_gemma":[0.9988007,0.0006845072,0.00006362979,0.00021789494,0.00011636183,0.00011691969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004772923,0.00007586628,0.0001058794,0.00024547207,0.000916867,0.00076627964,0.00066011527,0.00001442407,0.000084156796],"category_scores_gemma":[0.0006963776,0.00006017832,0.000033554108,0.0014650556,0.0005709313,0.00031194658,0.00041595768,0.00010243017,0.000041855623],"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":[0.000010886045,0.0001354348,0.039263453,0.00009273515,0.000016796163,0.000013521738,0.004077163,0.00016534708,0.110240325,0.7230526,0.032626543,0.09030519],"study_design_scores_gemma":[0.0010673169,0.00040050692,0.21092929,0.000057549667,0.000028076714,0.0000057908637,0.008081246,0.49755734,0.0015262604,0.26037306,0.019335767,0.0006377881],"about_ca_topic_score_codex":0.0000025987265,"about_ca_topic_score_gemma":1.9142335e-7,"teacher_disagreement_score":0.497392,"about_ca_system_score_codex":0.000050744064,"about_ca_system_score_gemma":0.000011504718,"threshold_uncertainty_score":0.7389252},"labels":[],"label_agreement":null},{"id":"W3035540404","doi":"10.22215/etd/2009-08813","title":"Implementing parallel and distributed DEVS and cell-DEVS simulation in a windows platform","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"DEVS; Computer science; Operating system; Parallel computing; Modeling and simulation; Simulation","score_opus":0.07219345638495199,"score_gpt":0.41792154216199273,"score_spread":0.34572808577704073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035540404","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":[0.91906226,0.00040700447,0.060945977,0.00022867683,0.000056424335,0.0016049625,0.0001038075,0.00016923004,0.017421661],"genre_scores_gemma":[0.9922502,0.000075380645,0.0033803307,0.00007002474,0.000030003168,0.000052914947,0.0009318552,0.000014417604,0.0031948457],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974692,0.00003128419,0.0010031384,0.00059449364,0.00059621077,0.00030569438],"domain_scores_gemma":[0.99814636,0.0007594134,0.00044781997,0.00032339556,0.00022699694,0.00009599328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010058002,0.00024337335,0.00035841152,0.00040653584,0.0002453219,0.0003731223,0.00023038546,0.00025945567,0.00018815696],"category_scores_gemma":[0.0002750057,0.00020245358,0.000058508318,0.000627568,0.000021574051,0.00034424674,0.000059260212,0.00020151655,0.000013720263],"study_design_candidate":"design_other","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":[0.0002156623,0.00020278478,0.04266311,0.00006700207,0.000021503336,0.0000061109604,0.0023392062,0.023001509,0.0005072319,0.014462576,0.0030964385,0.91341686],"study_design_scores_gemma":[0.0018071788,0.00011097526,0.46051702,0.00009378649,0.000046573714,0.0000028630502,0.0066755535,0.3414422,0.0006646154,0.12614307,0.061615188,0.00088099093],"about_ca_topic_score_codex":0.00016536016,"about_ca_topic_score_gemma":0.0016726727,"teacher_disagreement_score":0.9125359,"about_ca_system_score_codex":0.00003979538,"about_ca_system_score_gemma":0.00005226052,"threshold_uncertainty_score":0.8255817},"labels":[],"label_agreement":null},{"id":"W3035625602","doi":"10.1145/3406361","title":"Session details: Simulations and Artificial Intelligence","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Session (web analytics); Computer science; Artificial intelligence; World Wide Web","score_opus":0.3362113961361675,"score_gpt":0.47021397483832056,"score_spread":0.13400257870215304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035625602","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":[0.06876934,0.00001615429,0.9125748,0.014009372,0.00001966973,0.00016499235,0.000009504966,0.00014048941,0.0042956644],"genre_scores_gemma":[0.9867561,0.0000030313076,0.011830096,0.0011493892,0.000053207583,0.000004734421,0.000002560225,0.000003841869,0.0001970795],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891627,0.000032963875,0.0003593065,0.0002751157,0.00033768357,0.00007868175],"domain_scores_gemma":[0.9988613,0.0006254812,0.000063452746,0.00019627916,0.00013509383,0.00011838081],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024239927,0.000058217087,0.00009037188,0.000057096142,0.0001539939,0.00016970992,0.0001962618,0.000037574344,0.0019250828],"category_scores_gemma":[0.0008774677,0.00004140684,0.000028656665,0.00061287737,0.00004811841,0.00018074023,0.00008800932,0.0000568398,0.00026372913],"study_design_candidate":"design_other","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":[0.000011484466,0.000035263565,0.004577026,0.0000014743281,0.000002884473,6.208218e-7,0.00056776963,0.007353656,0.004927533,0.2915356,0.0035714381,0.6874153],"study_design_scores_gemma":[0.00001903638,0.000026864787,0.0011806552,0.0000017073452,0.000003267668,6.201028e-7,0.0005382593,0.61495185,0.0094591845,0.34032667,0.03339957,0.000092315546],"about_ca_topic_score_codex":0.000005202974,"about_ca_topic_score_gemma":0.0000067139645,"teacher_disagreement_score":0.9179867,"about_ca_system_score_codex":0.0000042333468,"about_ca_system_score_gemma":0.00001475444,"threshold_uncertainty_score":0.9989873},"labels":[],"label_agreement":null},{"id":"W3036754498","doi":"10.22215/etd/2017-11795","title":"Simulation of Coordinated Multipoint Using Discrete Event Systems Specification","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":"Carleton University","funders":"","keywords":"DEVS; Discrete event simulation; Computer science; Upload; Architecture; Event (particle physics); Distributed computing; Embedded system; Modeling and simulation; Operating system; Simulation","score_opus":0.2185355341172388,"score_gpt":0.5039554283444614,"score_spread":0.2854198942272226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036754498","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":[0.14432979,0.00037314117,0.7996924,0.00009993223,0.0017533985,0.0038847532,0.0002108258,0.00027834423,0.04937743],"genre_scores_gemma":[0.958236,0.00001058955,0.0011688169,0.000004057918,0.000115414856,0.00006185664,0.00058639405,0.000035285073,0.039781615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995977,0.00013602708,0.0017367816,0.00066815375,0.0012983168,0.00018371387],"domain_scores_gemma":[0.99255943,0.00088119117,0.0028876497,0.0016508627,0.0019333907,0.000087477456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444939,0.00027492672,0.00059759634,0.00052289537,0.00034933916,0.0003751134,0.0009384349,0.0003665528,0.00046162252],"category_scores_gemma":[0.0017176621,0.00021877342,0.00025792123,0.00042576267,0.0000571772,0.00034803344,0.00003714847,0.00017754998,0.00008375808],"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":[0.000105090825,0.00012179942,0.0007589078,0.0000818092,0.000052316514,8.06015e-7,0.00044690166,0.94568104,0.00843509,0.010441065,0.0010010124,0.032874186],"study_design_scores_gemma":[0.00021758892,0.000026268704,0.0053922287,0.00016897135,0.00005124393,5.462188e-7,0.0010366475,0.97334284,0.0051813866,0.004406879,0.009888037,0.0002873417],"about_ca_topic_score_codex":0.00046449513,"about_ca_topic_score_gemma":0.00006466013,"teacher_disagreement_score":0.8139062,"about_ca_system_score_codex":0.000106849475,"about_ca_system_score_gemma":0.00012767606,"threshold_uncertainty_score":0.89213216},"labels":[],"label_agreement":null},{"id":"W3036822033","doi":"10.22215/etd/2011-09676","title":"Real-time and embedded systems development based on discrete event modeling and simulation","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Library and Archives Canada","funders":"","keywords":"Event (particle physics); Computer science; Physics","score_opus":0.09018736534552706,"score_gpt":0.4067120392835546,"score_spread":0.3165246739380275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036822033","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":[0.61121196,0.00012341343,0.3295733,0.000052277446,0.00025094638,0.00231935,0.000037862257,0.00041245352,0.056018442],"genre_scores_gemma":[0.97561496,0.000016899685,0.006244648,0.000025085628,0.00003088098,0.00011228044,0.00034203404,0.000029115814,0.017584061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973661,0.000097708114,0.0008741711,0.0006730333,0.00082942,0.0001596037],"domain_scores_gemma":[0.9980712,0.00063308637,0.0003519875,0.0004589391,0.00036138966,0.00012343079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012188179,0.0002571017,0.00035223595,0.0003835536,0.00025502057,0.0002736721,0.00020440824,0.00023882468,0.00021140504],"category_scores_gemma":[0.0002063582,0.00019235046,0.00005340006,0.00023365552,0.000016495116,0.00013460181,0.00002947569,0.000112998525,0.000069054964],"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":[0.00016539394,0.00007491948,0.0001816,0.00005755372,0.000029846951,9.924854e-7,0.0015047416,0.9527216,0.0005742617,0.0034825313,0.00029634486,0.04091022],"study_design_scores_gemma":[0.0001579341,0.000029616152,0.0006955533,0.0001056853,0.00001918453,2.5276748e-7,0.00033069198,0.99546176,0.00030618615,0.0020889947,0.00055726775,0.00024688864],"about_ca_topic_score_codex":0.000121189645,"about_ca_topic_score_gemma":0.00003042888,"teacher_disagreement_score":0.36440304,"about_ca_system_score_codex":0.000040030183,"about_ca_system_score_gemma":0.000100909674,"threshold_uncertainty_score":0.7843824},"labels":[],"label_agreement":null},{"id":"W3041421878","doi":"","title":"Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models","year":2020,"lang":"en","type":"article","venue":"International Conference on Learning Representations","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Ode; Computer science; Flow (mathematics); Applied mathematics; Mathematical optimization; Mathematical economics; Mathematics; Geometry","score_opus":0.22818065280292232,"score_gpt":0.42082505278815807,"score_spread":0.19264439998523575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041421878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00904134,0.0000027207684,0.94913894,0.012485632,0.000063237,0.00048188047,0.000054755048,0.00021652208,0.028515002],"genre_scores_gemma":[0.95493907,0.0000025534562,0.042562872,0.00059086486,0.0001056367,0.0001760011,0.00017536237,0.000019155075,0.0014284819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784315,0.00015075154,0.00040974404,0.00055500795,0.000886265,0.00015510237],"domain_scores_gemma":[0.9966366,0.0015595118,0.00027797752,0.00028322416,0.0011287933,0.000113888156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005743437,0.00014348315,0.00016064236,0.00023002987,0.0003260234,0.00039020294,0.0006107568,0.000061132414,0.0008232688],"category_scores_gemma":[0.0015901546,0.00012040226,0.00010566024,0.00041798066,0.00007493944,0.0005122639,0.00005159248,0.00021488039,0.000087074186],"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":[0.00018182705,0.00003972593,0.00042929623,0.0000022158983,0.000021670816,8.4326854e-7,0.0011189064,0.65073043,0.0006498086,0.33618528,0.00063363387,0.010006373],"study_design_scores_gemma":[0.0005406751,0.00011715655,0.00020185258,0.000019953342,0.000012203618,7.741707e-7,0.00180891,0.90963316,0.00053303357,0.08373632,0.003262216,0.00013375247],"about_ca_topic_score_codex":0.000013496451,"about_ca_topic_score_gemma":0.0000073517936,"teacher_disagreement_score":0.94589776,"about_ca_system_score_codex":0.000053611344,"about_ca_system_score_gemma":0.00015248406,"threshold_uncertainty_score":0.90142155},"labels":[],"label_agreement":null},{"id":"W3042518269","doi":"10.1162/isal_a_00329","title":"Life-Span Expectancy and Cycle Size in the Original Autopoiesis Algorithm","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"University of Waterloo","funders":"","keywords":"Autopoiesis; Life expectancy; Computer science; Life span; Expectancy theory; Algorithm; Span (engineering); Affect (linguistics); Artificial intelligence; Cognitive science; Psychology; Biology; Engineering; Sociology; Communication; Social psychology; Evolutionary biology; Demography","score_opus":0.1029361821497775,"score_gpt":0.3914808653228877,"score_spread":0.28854468317311016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042518269","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":[0.18430601,0.00021585006,0.5271333,0.2238046,0.000052601685,0.0007430339,0.00001611136,0.0003372614,0.06339128],"genre_scores_gemma":[0.9724387,0.000008635942,0.022055894,0.0050542234,0.00006013273,0.000031803072,4.2055314e-7,0.000003571062,0.00034663474],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896115,0.00006355117,0.00025631496,0.00024334053,0.00038088206,0.000094770614],"domain_scores_gemma":[0.99856687,0.0010049064,0.000048316666,0.00023752039,0.00004481029,0.000097600714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004507626,0.000060148006,0.000103062455,0.000034215438,0.00010712293,0.00016359203,0.00036895607,0.00002917017,0.000663831],"category_scores_gemma":[0.0009973785,0.000035029378,0.000031423242,0.0006743446,0.000045023196,0.00013205406,0.000052887124,0.000070280235,0.000085495514],"study_design_candidate":"not_applicable","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":[0.000023293023,0.00020876217,0.022568798,0.0000042429706,0.00001220391,0.0000122305655,0.0121342065,0.00025518253,0.00058180804,0.2744202,0.14374815,0.54603094],"study_design_scores_gemma":[0.00067032315,0.000091320864,0.06041864,0.000004465041,0.0000068338154,0.0000065088598,0.011786604,0.2569774,0.0007165839,0.18802503,0.48100385,0.00029244315],"about_ca_topic_score_codex":0.00007449318,"about_ca_topic_score_gemma":0.000009994158,"teacher_disagreement_score":0.78813267,"about_ca_system_score_codex":0.0000045051024,"about_ca_system_score_gemma":0.00004591761,"threshold_uncertainty_score":0.72684836},"labels":[],"label_agreement":null},{"id":"W3046865985","doi":"10.22215/etd/2009-08946","title":"An internet-based repository for DEVS models and their experimental frames","year":2009,"lang":"en","type":"dissertation","venue":"","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":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; DEVS; The Internet; World Wide Web; Humanities; Art; Simulation; Modeling and simulation","score_opus":0.09509330145074232,"score_gpt":0.4435269854652805,"score_spread":0.3484336840145382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046865985","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":[0.43617883,0.00056037237,0.52903116,0.000106232925,0.00020797897,0.0012983517,0.000033558004,0.00032605516,0.032257464],"genre_scores_gemma":[0.97340703,0.0000015640001,0.01346615,0.00027253333,0.000055690067,0.00021432084,0.0002769856,0.000017796936,0.012287926],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99853396,0.000033996024,0.00048721943,0.00052978017,0.00030133108,0.00011368406],"domain_scores_gemma":[0.99859136,0.00034718285,0.00022862693,0.00049138913,0.00025655262,0.00008488372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029555152,0.00018686388,0.00024051781,0.00018537178,0.000134574,0.00036168657,0.00042012593,0.00022353686,0.00007501959],"category_scores_gemma":[0.00003915163,0.00012968454,0.00011555381,0.00012035061,0.000026526255,0.00023333072,0.0000094449115,0.000083141196,0.0000036581553],"study_design_candidate":"design_other","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":[0.00075673504,0.0013326817,0.00029125664,0.000040970423,0.00006588614,0.0000019017867,0.009236621,0.003756794,0.043168724,0.1491668,0.059806973,0.73237467],"study_design_scores_gemma":[0.00024086541,0.00025484743,0.00039720954,0.000025206478,0.000008627431,0.0000010296056,0.0046044993,0.43803126,0.46470225,0.08516849,0.0062705325,0.00029519893],"about_ca_topic_score_codex":0.00006712364,"about_ca_topic_score_gemma":0.000048023485,"teacher_disagreement_score":0.73207945,"about_ca_system_score_codex":0.000024640127,"about_ca_system_score_gemma":0.00005897876,"threshold_uncertainty_score":0.5288382},"labels":[],"label_agreement":null},{"id":"W3087913195","doi":"10.22360/springsim.2020.tms.004","title":"A Model Library for Finite State Machines in Cadmium","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Formalism (music); Finite-state machine; Computer science; Discrete event simulation; Modeling and simulation; Extension (predicate logic); Theoretical computer science; State (computer science); Programming language; Simulation","score_opus":0.2543357960768344,"score_gpt":0.43022188201989603,"score_spread":0.17588608594306165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087913195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01650451,0.00001155293,0.94908655,0.023561716,0.000010675816,0.00035560536,0.00009690347,0.0001863364,0.010186159],"genre_scores_gemma":[0.9160851,0.0000044644307,0.070055425,0.0063057384,0.000023854605,0.00007645361,0.000010319375,0.000009254429,0.007429391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916136,0.000013753516,0.00030744396,0.00022482153,0.00020400726,0.000088598485],"domain_scores_gemma":[0.9991172,0.0005547321,0.00004946878,0.00017091104,0.000037600275,0.00007010716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019783356,0.000052796215,0.00009855387,0.00007409712,0.000034367928,0.00011039579,0.00032349312,0.000022941405,0.00034840385],"category_scores_gemma":[0.00032706957,0.000037150032,0.00004715449,0.00047778586,0.000012337932,0.00027697292,0.00007671037,0.00004068615,0.000062441475],"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":[0.000108421365,0.00008533471,0.011573962,0.000008783919,0.0000044649455,0.0000024516157,0.0014307703,0.44806862,0.00057434104,0.075201884,0.34147874,0.12146222],"study_design_scores_gemma":[0.00010022881,0.000011263095,0.00016064696,6.6264494e-7,4.25583e-7,7.537972e-8,0.00001797736,0.75500834,0.00042992583,0.19992363,0.0443058,0.000040993495],"about_ca_topic_score_codex":0.000006444733,"about_ca_topic_score_gemma":0.000008922555,"teacher_disagreement_score":0.8995806,"about_ca_system_score_codex":0.0000027569574,"about_ca_system_score_gemma":0.00004045144,"threshold_uncertainty_score":0.38147777},"labels":[],"label_agreement":null},{"id":"W3088362094","doi":"10.22360/springsim.2020.cps.002","title":"Development of a Real-time Devs Kernel: Rt-cadmium","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":15,"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; Mitacs","keywords":"DEVS; Computer science; Kernel (algebra); Mathematics; Simulation; Discrete mathematics","score_opus":0.17924582348067752,"score_gpt":0.4160819241337403,"score_spread":0.23683610065306276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088362094","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":[0.41946477,0.000010977235,0.29579124,0.0070537417,0.000033070242,0.00051050255,0.000011205399,0.00047693742,0.27664757],"genre_scores_gemma":[0.8210507,0.000002040443,0.17442687,0.00053669466,0.000023271878,0.000015431919,0.000003248853,0.000006057839,0.0039356966],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985049,0.000018941753,0.00054998754,0.00023417018,0.00060098706,0.00009105677],"domain_scores_gemma":[0.99909836,0.00021754362,0.0001319523,0.00025563754,0.00018842288,0.0001081042],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00049291854,0.00006274621,0.00014469371,0.000055845387,0.00005928146,0.000041455507,0.00044586274,0.00003701667,0.0033976887],"category_scores_gemma":[0.00028189662,0.000044964723,0.000048020996,0.00058164855,0.000026463364,0.000075865144,0.000119883356,0.00003300642,0.0013357659],"study_design_candidate":"not_applicable","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":[0.00006568036,0.00022511122,0.007185735,0.000013940087,0.00003875095,0.0000020623688,0.007315897,0.00031806415,0.21842061,0.10913363,0.26078388,0.39649665],"study_design_scores_gemma":[0.00027698395,0.00004563328,0.0126187,0.0000060458483,0.000005797535,8.7398155e-7,0.00063170766,0.019469557,0.17060259,0.01073507,0.7853757,0.00023133887],"about_ca_topic_score_codex":0.0000093348235,"about_ca_topic_score_gemma":0.0000032790258,"teacher_disagreement_score":0.5245918,"about_ca_system_score_codex":0.000010307084,"about_ca_system_score_gemma":0.000101983795,"threshold_uncertainty_score":0.9994418},"labels":[],"label_agreement":null},{"id":"W3088550189","doi":"10.22360/springsim.2020.anss.004","title":"Strategic Airlift Operationalizing Constructive Simulations","year":2020,"lang":"en","type":"article","venue":"","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":true,"ca_institutions":"Carleton University","funders":"","keywords":"Operationalization; Computer science; Simple (philosophy); Constructive; Process (computing); Scale (ratio); Systems engineering; Knowledge base; Operations research; Management science; Process management; Engineering; Artificial intelligence; Geography","score_opus":0.4305908020589443,"score_gpt":0.467478416140026,"score_spread":0.03688761408108171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088550189","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":[0.18275659,0.000026727701,0.5774805,0.023766095,0.000072434406,0.00060298643,0.00009900992,0.00048758538,0.21470809],"genre_scores_gemma":[0.9827353,7.149158e-7,0.013963058,0.0026608943,0.000087937406,0.0000106585685,0.000013912277,0.00000596528,0.00052160583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998546,0.000051962892,0.0004244996,0.00033204706,0.00054310774,0.00010240724],"domain_scores_gemma":[0.9985421,0.00061273447,0.0000858517,0.00023845423,0.00039223925,0.00012863286],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021001029,0.00008119261,0.00012391711,0.00006701235,0.00021906273,0.0002484757,0.0003102338,0.000042797994,0.006110232],"category_scores_gemma":[0.00043406247,0.00006208929,0.000059288923,0.00077805977,0.0000677324,0.00027814083,0.000058196783,0.000075742355,0.00061012496],"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":[0.000003989329,0.000014946905,0.0033024128,4.8353553e-7,0.0000057875545,4.594148e-7,0.00023502712,0.024652842,0.002096872,0.9632244,0.0036425104,0.0028202767],"study_design_scores_gemma":[0.00030467004,0.000044027394,0.0019023241,0.000002124797,0.0000072112266,0.000002769789,0.0019079766,0.54494786,0.0032044842,0.4005819,0.046875905,0.00021873448],"about_ca_topic_score_codex":0.000009080288,"about_ca_topic_score_gemma":0.000006549172,"teacher_disagreement_score":0.7999787,"about_ca_system_score_codex":0.000012044078,"about_ca_system_score_gemma":0.00007347995,"threshold_uncertainty_score":0.9947983},"labels":[],"label_agreement":null},{"id":"W3088585989","doi":"10.22360/springsim.2020.hpc.005","title":"Parallel Execution of Devs in Shared-memory Multicore Architectures","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Multithreading; Discrete event simulation; Parallel computing; Multi-core processor; Formalism (music); Shared memory; Computer architecture; Distributed computing; Modeling and simulation; Programming language; Thread (computing); Simulation","score_opus":0.1571174966117267,"score_gpt":0.4087724581850014,"score_spread":0.2516549615732747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088585989","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":[0.7701533,0.00005530796,0.2073777,0.0056045535,0.000020866024,0.00049502135,0.000019762541,0.00012952123,0.016143985],"genre_scores_gemma":[0.97953695,0.0000015314903,0.019504357,0.00068637263,0.000018443254,0.000019784664,0.0000037503735,0.0000036699569,0.00022515151],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988542,0.000034745393,0.00042421484,0.0002277194,0.0003744269,0.00008468152],"domain_scores_gemma":[0.9991966,0.00032544843,0.000097187265,0.00023321954,0.000087798246,0.000059747264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002670586,0.000059057325,0.00013467591,0.00010858986,0.000025799236,0.000027104328,0.00033030126,0.000041163326,0.0008661795],"category_scores_gemma":[0.00061049615,0.000042499585,0.00005474553,0.00056272116,0.000040337174,0.00005164336,0.00006776022,0.00006842366,0.00007454459],"study_design_candidate":"design_other","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":[0.0002677419,0.00041713173,0.11212285,0.000033994867,0.000016149852,0.000007761375,0.012357249,0.13060665,0.020848095,0.051742475,0.04876807,0.62281185],"study_design_scores_gemma":[0.0013583993,0.00013703885,0.44162974,0.000028405508,0.0000072667785,0.0000026861035,0.0027241777,0.4179583,0.029990597,0.08976003,0.016025303,0.00037805425],"about_ca_topic_score_codex":0.000060301994,"about_ca_topic_score_gemma":0.000031045267,"teacher_disagreement_score":0.6224338,"about_ca_system_score_codex":0.000007279952,"about_ca_system_score_gemma":0.000019954234,"threshold_uncertainty_score":0.9484058},"labels":[],"label_agreement":null},{"id":"W3088858379","doi":"10.22360/springsim.2020.msses.004","title":"A Framework for the Extension of Devs with Sensor Fusion Capabilities","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Sensor fusion; Computer science; Event (particle physics); Extension (predicate logic); Distributed computing; Wireless sensor network; Fusion; Cyber-physical system; Real-time computing; Data mining; Artificial intelligence; Simulation; Modeling and simulation; Programming language; Computer network","score_opus":0.20220608618685135,"score_gpt":0.42152511961916295,"score_spread":0.2193190334323116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088858379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07798792,0.000024051371,0.9051814,0.01548598,0.000014323249,0.00047385064,0.0000097537395,0.000054378426,0.0007683459],"genre_scores_gemma":[0.87260604,0.000003878184,0.12575372,0.001183427,0.000036602058,0.000038436672,6.907557e-7,0.0000045476777,0.0003726939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907273,0.00002069,0.0002589417,0.00019576254,0.0003820682,0.000069786],"domain_scores_gemma":[0.9954501,0.0036554763,0.00010321551,0.00037654475,0.00037557748,0.00003910887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003923657,0.00005286075,0.000111301204,0.00002399246,0.00012122091,0.000038537528,0.0002458993,0.00003704651,0.00038922904],"category_scores_gemma":[0.0014653399,0.000023065684,0.000056116907,0.00037558126,0.0000839567,0.000051331994,0.0000440966,0.000046444973,0.00001638348],"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":[0.0003148714,0.00007312207,0.004608516,0.000017711312,0.000017216478,3.058937e-7,0.003925666,0.00340826,0.005754313,0.85624,0.023572441,0.1020676],"study_design_scores_gemma":[0.00048798404,0.0006073855,0.012343958,0.000036033496,0.000036591206,0.0000032098367,0.01813566,0.16462448,0.042481333,0.5657503,0.19523095,0.00026211742],"about_ca_topic_score_codex":0.000018847406,"about_ca_topic_score_gemma":0.0000049051473,"teacher_disagreement_score":0.79461807,"about_ca_system_score_codex":0.0000035626963,"about_ca_system_score_gemma":0.000021431151,"threshold_uncertainty_score":0.42617851},"labels":[],"label_agreement":null},{"id":"W3095028410","doi":"","title":"Green team paper: Falling off the cliff: When systems go nonlinear","year":2005,"lang":"en","type":"article","venue":"","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":"University of Victoria","funders":"","keywords":"Falling (accident); Cliff; History; Archaeology; Psychology","score_opus":0.09552600298276405,"score_gpt":0.38692111520511263,"score_spread":0.2913951122223486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095028410","genre_codex":"other","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":[0.096633054,0.0014394517,0.19261946,0.06913645,0.00045440573,0.002635371,0.00009258922,0.0013707675,0.63561845],"genre_scores_gemma":[0.8971526,0.000041076353,0.015093937,0.002682869,0.0007385467,0.00007349643,0.00000651545,0.000015960697,0.08419502],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99807477,0.0000771694,0.000595128,0.00031224886,0.0007670034,0.00017365636],"domain_scores_gemma":[0.99787754,0.00083564036,0.00014449564,0.00083598925,0.00023326185,0.00007306945],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001552185,0.0001011848,0.00015340165,0.00007334103,0.00027438375,0.00030256546,0.0008592567,0.00007002766,0.0010428716],"category_scores_gemma":[0.00018607463,0.000052615655,0.00009497039,0.0003472951,0.0000579732,0.00025362312,0.00010317256,0.000117276504,0.0019448316],"study_design_candidate":"not_applicable","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":[0.000009065812,0.000122808,0.004203437,0.0000027119395,0.000018251492,4.46423e-7,0.0008392633,0.0065040872,0.000623013,0.05280279,0.3673252,0.56754893],"study_design_scores_gemma":[0.00007268979,0.00001009683,0.0004417412,0.0000036362615,0.000003931771,0.0000025765653,0.00036411808,0.15002647,0.00014845227,0.0046378123,0.844213,0.00007544082],"about_ca_topic_score_codex":0.00025116187,"about_ca_topic_score_gemma":0.0001573797,"teacher_disagreement_score":0.8005195,"about_ca_system_score_codex":0.000025882875,"about_ca_system_score_gemma":0.000028398423,"threshold_uncertainty_score":0.9998703},"labels":[],"label_agreement":null},{"id":"W3099113830","doi":"10.1007/978-3-030-51909-4_7","title":"Agent-Directed Simulation and Nature-Inspired Modeling for Cyber-Physical Systems Engineering","year":2020,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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 Ottawa","funders":"","keywords":"Cyber-physical system; Physical system; Computer science; Cloud computing; Physical science; Data science; Systems engineering; Engineering","score_opus":0.16697450257969446,"score_gpt":0.48451568513883086,"score_spread":0.31754118255913644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099113830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011666113,0.00070490054,0.9867445,0.0004987668,0.00015378272,0.0036761703,0.00033322605,0.00062689005,0.0071450607],"genre_scores_gemma":[0.6476407,0.00017014034,0.3206292,0.00037673896,0.0020556767,0.0026449854,0.0017542902,0.00031549638,0.024412788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597496,0.00012170334,0.0014657731,0.001409632,0.00075012847,0.0002778331],"domain_scores_gemma":[0.99016476,0.006577674,0.0007669553,0.0009100238,0.001284683,0.00029592885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014521207,0.0005587573,0.0008220676,0.0005782609,0.0008622616,0.0008235515,0.00040396853,0.0006465014,0.000043704065],"category_scores_gemma":[0.0014052986,0.00055339054,0.00026456814,0.0004687597,0.0001160646,0.00042636608,0.0001768956,0.00055694836,0.00004177795],"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":[0.000011292696,0.00001803777,0.0000058976902,0.000032465523,0.00004852744,8.4927656e-8,0.00006497456,0.56689996,0.00007488927,0.37497234,0.00006847817,0.05780307],"study_design_scores_gemma":[0.00020364026,0.000021735248,0.000017870289,0.000025775209,0.00012161669,9.896903e-7,0.000024353294,0.59217423,0.000009010703,0.12559849,0.28147638,0.0003258934],"about_ca_topic_score_codex":0.000007669747,"about_ca_topic_score_gemma":0.0000018879531,"teacher_disagreement_score":0.66611534,"about_ca_system_score_codex":0.00012072893,"about_ca_system_score_gemma":0.000100478,"threshold_uncertainty_score":0.9996918},"labels":[],"label_agreement":null},{"id":"W3099763932","doi":"10.22215/etd/2009-08942","title":"Development of the virtual flight deck - real-time simulation environment","year":2009,"lang":"en","type":"dissertation","venue":"","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; Office of the Privacy Commissioner of Canada; Canadian Heritage; Library and Archives Canada","funders":"Ontario Centres of Excellence","keywords":"Deck; Computer science; Computer graphics (images); Aeronautics; Engineering; Structural engineering","score_opus":0.055481445063779306,"score_gpt":0.38334295716594424,"score_spread":0.32786151210216496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099763932","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":[0.869552,0.000030363855,0.012801604,0.0002312804,0.00023099713,0.001587254,0.00002398874,0.00016297927,0.115379505],"genre_scores_gemma":[0.8671777,0.000018339719,0.014962925,0.000069078975,0.000052941028,0.000055383836,0.00025893873,0.000024749334,0.11737994],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964065,0.000072482995,0.0012466388,0.00047014255,0.001655561,0.00014870564],"domain_scores_gemma":[0.99760115,0.00047149532,0.0007794149,0.0008933821,0.00019613144,0.00005842235],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007985466,0.00021699684,0.0003137749,0.00018982014,0.00025667797,0.00006990309,0.00083556515,0.00024715203,0.0023156288],"category_scores_gemma":[0.00017241288,0.00013276501,0.00018426453,0.00042956436,0.000031334544,0.00009787082,0.000058624548,0.000121003184,0.0005772593],"study_design_candidate":"design_other","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":[0.000110809444,0.0005142045,0.0004357294,0.000012880659,0.000069794376,4.54761e-7,0.004445076,0.040952172,0.049787823,0.017897395,0.013993346,0.87178034],"study_design_scores_gemma":[0.0005041334,0.00009907626,0.2891998,0.00012375011,0.00008979108,6.850765e-7,0.0016472595,0.030097915,0.15323722,0.028844805,0.4951876,0.0009679585],"about_ca_topic_score_codex":0.0000095622845,"about_ca_topic_score_gemma":0.000037363963,"teacher_disagreement_score":0.87081236,"about_ca_system_score_codex":0.00009225281,"about_ca_system_score_gemma":0.00016810546,"threshold_uncertainty_score":0.9985964},"labels":[],"label_agreement":null},{"id":"W3111830832","doi":"","title":"ADAPTIVE OBJECT MODELS ARCHITECTURE FOR SIMULATION SOFTWARE DESIGN","year":2005,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","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":"Center for Diagnosis and Research on Alzheimer's Disease","funders":"","keywords":"Computer science; Architecture; Computer architecture; Software architecture; Software engineering; Software; Programming language; Geography","score_opus":0.10796400800527936,"score_gpt":0.3430650666253421,"score_spread":0.23510105862006273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111830832","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":[0.0016406034,0.00044710079,0.9820775,0.005535222,0.00012193037,0.0023238985,0.0003160925,0.0005822049,0.0069554457],"genre_scores_gemma":[0.47879648,0.000049218597,0.5142656,0.00016068923,0.00006383289,0.00048154691,0.00026882451,0.000059293983,0.0058545433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9908959,0.004503847,0.0012730248,0.0015741558,0.0012863107,0.0004667336],"domain_scores_gemma":[0.9707349,0.017950859,0.0011810861,0.0034177988,0.006471717,0.00024365514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01239209,0.000508466,0.0006358148,0.0005491317,0.000692924,0.00089185935,0.0025122473,0.00057455176,0.00020377587],"category_scores_gemma":[0.007842752,0.00047827576,0.0005388194,0.0008011298,0.00023041002,0.00031752797,0.00114609,0.0007076556,0.0000586523],"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":[0.000038723978,0.00022089292,0.000046707057,0.000018200806,0.000038159727,3.9379174e-7,0.0034194717,0.69772124,0.00009391966,0.034264598,0.0024328018,0.2617049],"study_design_scores_gemma":[0.00030046608,7.82526e-7,0.00014189095,0.0002514091,0.000033991808,0.0000015452541,0.00006257571,0.6510268,0.0038479285,0.3301637,0.013801946,0.00036700032],"about_ca_topic_score_codex":0.00017814276,"about_ca_topic_score_gemma":0.00031698585,"teacher_disagreement_score":0.47715586,"about_ca_system_score_codex":0.00019526313,"about_ca_system_score_gemma":0.00047964187,"threshold_uncertainty_score":0.9997669},"labels":[],"label_agreement":null},{"id":"W3112142839","doi":"10.12688/wellcomeopenres.16466.2","title":"Reproducible parallel inference and simulation of stochastic state space models using odin, dust, and mcstate","year":2021,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; National Institute for Health and Care Research; Medical Research Council Canada; Wellcome Trust; Wellcome","keywords":"Computer science; Inference; State space; Code (set theory); Suite; Range (aeronautics); Computation; Statistical inference; Theoretical computer science; Programming language; Artificial intelligence","score_opus":0.656253105390292,"score_gpt":0.5745760174492739,"score_spread":0.08167708794101813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112142839","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":[0.4410288,0.0005279277,0.55375206,0.00079207815,0.000043371383,0.0021646267,0.00007904989,0.00002611171,0.0015859554],"genre_scores_gemma":[0.97737724,0.0002801031,0.019704511,0.000015843945,0.000024521778,0.00009482127,0.000023672166,0.000025859958,0.002453453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99453133,0.00069824304,0.00096564624,0.0016800974,0.001741114,0.00038355563],"domain_scores_gemma":[0.99200267,0.0031031903,0.00044974565,0.0020620646,0.0021769968,0.00020531473],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010074518,0.00022600379,0.00062142627,0.0006403846,0.0003644129,0.0019074385,0.0014042285,0.00019192371,0.00017343333],"category_scores_gemma":[0.002656474,0.00020025171,0.000057828838,0.001154649,0.00039175074,0.00059188536,0.0068958723,0.00079048576,0.000006958628],"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":[0.000052716885,0.000053370226,0.0005285635,0.000046825975,0.000015634336,0.0000025629784,0.0008265435,0.9887438,0.000344528,0.0021069134,0.000133528,0.0071450244],"study_design_scores_gemma":[0.00020004531,0.00003177563,0.0008217172,0.0001679365,0.0000071903846,0.0000014208471,0.00040544706,0.76983124,0.0002539301,0.22795488,0.00016195711,0.00016249168],"about_ca_topic_score_codex":0.0023788079,"about_ca_topic_score_gemma":0.00007408707,"teacher_disagreement_score":0.5363484,"about_ca_system_score_codex":0.0000713186,"about_ca_system_score_gemma":0.0005037566,"threshold_uncertainty_score":0.9991287},"labels":[],"label_agreement":null},{"id":"W3120254080","doi":"10.1109/ssci47803.2020.9308546","title":"(Energy) Policies Can Be Complicated: So Be Careful With Your Simulators!","year":2020,"lang":"en","type":"article","venue":"","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Energy (signal processing); Focus (optics); Quality (philosophy); Simulation; Risk analysis (engineering)","score_opus":0.20983311102168137,"score_gpt":0.409515866554451,"score_spread":0.19968275553276962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120254080","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":[0.34816605,0.000073326824,0.31707665,0.2636243,0.000059952887,0.0007306466,0.00028574842,0.0016459811,0.068337336],"genre_scores_gemma":[0.97365016,0.000002784579,0.002196664,0.02203005,0.00008315729,0.000029990273,0.000020489999,0.00001897944,0.0019677428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99790996,0.000040846342,0.00044055894,0.0005047314,0.00086358044,0.00024030036],"domain_scores_gemma":[0.9982651,0.00029167908,0.00014701358,0.00063274615,0.00037738407,0.0002860827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017418202,0.0001703566,0.00025694686,0.0001187223,0.00029186168,0.00031882964,0.0007224329,0.00007193427,0.0007934093],"category_scores_gemma":[0.00011230914,0.0001105549,0.000083341045,0.0013021942,0.00015259562,0.0001250932,0.00015104601,0.00009596649,0.000055481243],"study_design_candidate":"not_applicable","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":[0.00010617119,0.00024375682,0.045094468,0.000010535667,0.00008159278,0.000010386153,0.0061224326,0.030509297,0.004356252,0.5824192,0.29073542,0.04031048],"study_design_scores_gemma":[0.00033723057,0.00013562203,0.0030713186,0.0000028442737,0.000013333752,0.0000035921355,0.001655325,0.03921882,0.009181902,0.0076409164,0.93842435,0.00031473645],"about_ca_topic_score_codex":0.0014261202,"about_ca_topic_score_gemma":0.00030286695,"teacher_disagreement_score":0.6476889,"about_ca_system_score_codex":0.000026767808,"about_ca_system_score_gemma":0.00008985147,"threshold_uncertainty_score":0.86872756},"labels":[],"label_agreement":null},{"id":"W3121663048","doi":"","title":"Adaptive Mixture of Student-t Distributions as a Flexible Candidate Distribution for Efficient Simulation: The R Package AdMit","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"HEC Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"R package; Distribution (mathematics); Mathematics; Statistical physics; Computer science; Applied mathematics; Physics; Computational science; Mathematical analysis","score_opus":0.11696615273700284,"score_gpt":0.42986994633471426,"score_spread":0.3129037935977114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121663048","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":[0.13324557,0.000053157994,0.8606091,0.001225865,0.00004996035,0.0010778571,0.0013197912,0.00009481067,0.00232387],"genre_scores_gemma":[0.9958461,0.000007615857,0.0009648001,0.00009853651,0.00004793174,0.00017940544,0.00023080286,0.000007475527,0.0026173566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99790287,0.000078478704,0.000623668,0.00035248374,0.0008360669,0.00020646036],"domain_scores_gemma":[0.995454,0.0023367668,0.0002921598,0.0006969248,0.001132149,0.000088014705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007415069,0.0001339895,0.00021194738,0.00006470021,0.00065587054,0.00006378445,0.00054435036,0.00007911908,0.00029844444],"category_scores_gemma":[0.0010178942,0.000079604186,0.00017376096,0.0012184344,0.0002065481,0.0001007744,0.00010300909,0.00008812217,0.0000691011],"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":[0.0003346546,0.0012149102,0.012443364,0.000012239854,0.00011754321,0.000002983164,0.0022463806,0.2809691,0.0006232933,0.60550797,0.08779209,0.00873547],"study_design_scores_gemma":[0.0025337397,0.0007979974,0.104815714,0.000046006782,0.00015550973,0.000029128818,0.0036946354,0.3667464,0.033126436,0.09460838,0.39260548,0.00084056857],"about_ca_topic_score_codex":0.000050986942,"about_ca_topic_score_gemma":0.000018211354,"teacher_disagreement_score":0.8626005,"about_ca_system_score_codex":0.00006612254,"about_ca_system_score_gemma":0.00014820919,"threshold_uncertainty_score":0.50444925},"labels":[],"label_agreement":null},{"id":"W3125309256","doi":"10.7287/peerj.preprints.991","title":"Tech report: Orchestrating your cloud orchestra: Model driven development of cloud deployment and orchestration for distributed computer music instruments","year":2015,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cloud computing; Software deployment; Orchestration; Computer science; Provisioning; DevOps; Virtualization; Software; Distributed computing; Software engineering; Virtual machine; Resource (disambiguation); Resource allocation; Operating system; Multimedia; Computer network; Musical","score_opus":0.32408601407105175,"score_gpt":0.4188800596542499,"score_spread":0.09479404558319815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125309256","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":[0.44624427,0.0000027919975,0.552622,0.00018119234,0.000054219654,0.00052368914,0.00002001957,0.00007138076,0.00028037844],"genre_scores_gemma":[0.64177734,4.3779755e-7,0.3577267,0.00003621456,0.000065709864,0.000094487485,0.00007802431,0.000010263697,0.00021080108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969721,0.000048481685,0.0013625143,0.0005560468,0.0008261383,0.00023473485],"domain_scores_gemma":[0.99778384,0.0002493852,0.0005802391,0.0004766829,0.0007052599,0.00020460408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019540857,0.00019227568,0.0003087002,0.00013582874,0.00018443722,0.0001479191,0.00034045993,0.00012887965,0.000015256159],"category_scores_gemma":[0.00041388697,0.00015364308,0.00006671595,0.0004398589,0.00008631464,0.00024953255,0.00016326977,0.00009811486,0.0000060623647],"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":[0.000346374,0.0018475713,0.0717061,0.00013942219,0.00027712388,0.000015542952,0.013530506,0.117974445,0.020617617,0.116315216,0.044748828,0.61248124],"study_design_scores_gemma":[0.0012193775,0.00017807583,0.004531254,0.00003543448,0.00002713803,0.000030755793,0.0011585141,0.906561,0.025084753,0.056166615,0.0046232888,0.0003837645],"about_ca_topic_score_codex":0.000015770915,"about_ca_topic_score_gemma":0.000026178866,"teacher_disagreement_score":0.78858656,"about_ca_system_score_codex":0.00010527817,"about_ca_system_score_gemma":0.00044781785,"threshold_uncertainty_score":0.6265383},"labels":[],"label_agreement":null},{"id":"W3127494928","doi":"10.3390/info12020071","title":"Business Models for Distributed-Simulation Orchestration and Risk Management","year":2021,"lang":"en","type":"article","venue":"Information","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Response Biomedical (Canada); York University","funders":"","keywords":"Interoperability; High-level architecture; Orchestration; Computer science; Interface (matter); Software engineering; Process (computing); Business process; Abstraction; Systems engineering; Distributed computing; Process management; Engineering management; Engineering; Work in process; World Wide Web; Operating system; Operations management","score_opus":0.09958466514423102,"score_gpt":0.3872819012096154,"score_spread":0.2876972360653844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127494928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023150617,0.000015536396,0.97259456,0.0003130382,0.00004717241,0.00040154983,0.00013429523,0.00006956145,0.0032736491],"genre_scores_gemma":[0.9738732,0.00007001975,0.02520144,0.00009678337,0.000025914309,0.00009858793,0.0005057996,0.0000031655159,0.00012506303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892855,0.000027236,0.00046963894,0.00013592953,0.00035209232,0.000086579676],"domain_scores_gemma":[0.9982216,0.00032484657,0.00023181488,0.00025490543,0.00093148113,0.000035367684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062874827,0.00006735555,0.000084496154,0.0001124112,0.00020758959,0.00035833727,0.000093438684,0.000053839212,0.000022133254],"category_scores_gemma":[0.0004193987,0.000059468737,0.00003142446,0.0005865967,0.000017110546,0.0019663847,0.000041764648,0.00003502494,0.000025115669],"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":[0.000013410037,0.00001616668,0.0006497109,0.00001310517,0.0000075428084,9.348608e-8,0.00021855009,0.56031173,0.000006142288,0.101642616,0.0012749971,0.33584592],"study_design_scores_gemma":[0.00026474215,0.000005966263,0.013106343,0.0000049176283,0.000012634737,9.697361e-7,0.0002568794,0.7313774,0.0001443539,0.20196335,0.05279654,0.00006585397],"about_ca_topic_score_codex":0.0000069496373,"about_ca_topic_score_gemma":0.000004256283,"teacher_disagreement_score":0.95072263,"about_ca_system_score_codex":0.000027581107,"about_ca_system_score_gemma":0.000023524175,"threshold_uncertainty_score":0.34554544},"labels":[],"label_agreement":null},{"id":"W3133252064","doi":"10.1002/nav.21976","title":"Simulation optimization in security screening systems subject to budget and waiting time constraints","year":2021,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Bounding overwatch; Computer science; Nexus (standard); Mathematical optimization; Convergence (economics); Process (computing); Markov process; Operations research; Budget constraint; Engineering; Mathematics; Artificial intelligence; Statistics","score_opus":0.3057143339623625,"score_gpt":0.5150770859493352,"score_spread":0.20936275198697274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133252064","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":[0.094015226,0.00011597639,0.8966876,0.0007131056,0.00005715034,0.00079736544,0.00009094561,0.00008565955,0.0074369353],"genre_scores_gemma":[0.9874563,0.00001303659,0.011821184,0.00005121546,0.00008394344,0.000036737445,0.000040907315,0.000013441823,0.00048319393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960117,0.00068721786,0.0006527385,0.00059996836,0.001646817,0.00040158644],"domain_scores_gemma":[0.98900115,0.008173353,0.00010883837,0.00046169662,0.0020466207,0.00020835818],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0073387073,0.00011558038,0.00024787406,0.00050345337,0.00031948395,0.0006489144,0.00031545974,0.00014268956,0.0002212471],"category_scores_gemma":[0.03531335,0.00010952058,0.0000358369,0.002010506,0.00022775693,0.00017121498,0.0003190702,0.00036763333,0.00009007175],"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":[0.000020360916,0.000039122307,0.0036663827,0.000008861346,0.000003617482,0.000019000392,0.00020723692,0.97340935,0.00037438291,0.010126367,0.0003915875,0.011733732],"study_design_scores_gemma":[0.00021533162,0.000042550673,0.0013595524,0.00005092197,0.0000023686741,0.000004347625,0.00063009135,0.9864002,0.00025398567,0.0095000025,0.001424549,0.0001160905],"about_ca_topic_score_codex":0.00013716948,"about_ca_topic_score_gemma":0.000030587278,"teacher_disagreement_score":0.89344114,"about_ca_system_score_codex":0.00011050549,"about_ca_system_score_gemma":0.0001807351,"threshold_uncertainty_score":0.9728126},"labels":[],"label_agreement":null},{"id":"W3135988806","doi":"10.5555/1878537.3258382","title":"Session details: Military Modeling and Simulation (MMS)","year":2010,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","score_opus":0.13303939458557087,"score_gpt":0.42656041586735083,"score_spread":0.2935210212817799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135988806","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":[0.5962227,0.000023197268,0.40284446,0.00012419886,0.00010859342,0.00025738365,0.000004143183,0.00015321678,0.0002620838],"genre_scores_gemma":[0.9738294,0.000007643584,0.02579957,0.000092778246,0.000101919955,0.000020857433,0.0000061992714,0.000020262338,0.00012136968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973943,0.00009579283,0.0007976761,0.0006806678,0.0007755695,0.0002559673],"domain_scores_gemma":[0.99618393,0.0019204377,0.00017955374,0.0008286068,0.0007091174,0.00017834466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012750854,0.00021214115,0.00024749033,0.00031062323,0.0004367233,0.00022859783,0.00040709056,0.00019318206,0.00027765642],"category_scores_gemma":[0.0026988117,0.00018363948,0.00007856916,0.0004271056,0.000097528595,0.0007455058,0.00017433603,0.00035612212,0.000108007574],"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":[0.000011652047,0.000026881782,0.016423883,0.0000035254236,0.000002788543,3.3125275e-7,0.00022920984,0.9129279,0.0062729027,0.002544316,0.0000018368845,0.06155476],"study_design_scores_gemma":[0.00029665662,0.000012869086,0.022242567,0.000017449855,0.0000093613935,6.0152854e-7,0.00013339572,0.95920056,0.0005142119,0.016394438,0.00096261885,0.00021527248],"about_ca_topic_score_codex":0.00016036473,"about_ca_topic_score_gemma":0.00012268117,"teacher_disagreement_score":0.3776067,"about_ca_system_score_codex":0.000022316586,"about_ca_system_score_gemma":0.00005255778,"threshold_uncertainty_score":0.74886006},"labels":[],"label_agreement":null},{"id":"W3136979401","doi":"10.5555/1161734.3259814","title":"Session details: Modeling methodology A: interfaces with simulation modeling","year":2004,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Session (web analytics); Computer science; Human–computer interaction; World Wide Web","score_opus":0.47051150862169583,"score_gpt":0.4892639434063896,"score_spread":0.018752434784693794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136979401","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":[0.32800493,0.000017887309,0.67014074,0.00050607004,0.00008149729,0.00031148043,0.000004659598,0.00019701855,0.0007356803],"genre_scores_gemma":[0.94600725,0.0000031695288,0.053412072,0.00022820265,0.00008160375,0.0000352984,0.000015892221,0.000027042943,0.00018943801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966343,0.00025771715,0.0010366808,0.00084161246,0.0009154639,0.00031423644],"domain_scores_gemma":[0.99601805,0.0012251962,0.000332404,0.0007930975,0.001496632,0.0001346407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014422367,0.0002863458,0.00041044853,0.00041261668,0.00030948484,0.00040541953,0.0006420337,0.00018337437,0.0003968352],"category_scores_gemma":[0.00094433065,0.00021204095,0.00010369054,0.00070780684,0.00008016642,0.0010312333,0.000158231,0.0002619692,0.00016073526],"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":[0.00008302939,0.000037309972,0.00034106371,0.0000028559587,0.000010747648,8.748298e-7,0.0009143466,0.97820646,0.0005194106,0.003974263,0.0000028838194,0.015906774],"study_design_scores_gemma":[0.0005682708,0.00008330753,0.00006834768,0.000076985976,0.000017755474,0.0000026714347,0.00065448135,0.90650725,0.0009869759,0.09056822,0.0002138227,0.00025189898],"about_ca_topic_score_codex":0.000067126,"about_ca_topic_score_gemma":0.000071600334,"teacher_disagreement_score":0.61800236,"about_ca_system_score_codex":0.000104554354,"about_ca_system_score_gemma":0.00013373133,"threshold_uncertainty_score":0.86467785},"labels":[],"label_agreement":null},{"id":"W3137443262","doi":"10.5555/1878537.3258386","title":"Session details: Symposium on the Theory of Modeling and Simulation (DEVS)","year":2010,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Session (web analytics); Computer science; Discrete event simulation; Modeling and simulation; Simulation; World Wide Web","score_opus":0.1318942255856315,"score_gpt":0.40290949758584793,"score_spread":0.27101527200021647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137443262","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":[0.61541426,0.000004797407,0.3832575,0.00026178383,0.00006823402,0.00027864298,0.000003479133,0.0000562148,0.0006550677],"genre_scores_gemma":[0.9956317,0.000004075529,0.0040733214,0.000103919876,0.000049531125,0.00001796896,0.0000017662694,0.00001400602,0.000103699975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978869,0.00017472627,0.00066849496,0.00041565756,0.0006915504,0.00016267409],"domain_scores_gemma":[0.99179804,0.006368049,0.00031995834,0.00083259627,0.0006065426,0.0000747985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021849838,0.00015951539,0.00019772197,0.00020198294,0.00033281467,0.000179791,0.000434502,0.0001270111,0.00020036285],"category_scores_gemma":[0.0030161715,0.00010373596,0.0000708193,0.00034392325,0.00013288356,0.00029035308,0.00011998058,0.0002907017,0.000036773254],"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":[0.000023309763,0.000028452236,0.005388811,0.0000028575732,0.0000035475912,7.579834e-8,0.0003057244,0.87217444,0.011750002,0.081430495,8.920262e-7,0.02889136],"study_design_scores_gemma":[0.0001728335,0.000018529941,0.008574752,0.00002677824,0.000009059556,1.8373527e-7,0.00018817579,0.93924874,0.0033092638,0.048033908,0.00030187098,0.000115921684],"about_ca_topic_score_codex":0.000026380332,"about_ca_topic_score_gemma":0.000011294403,"teacher_disagreement_score":0.38021743,"about_ca_system_score_codex":0.000012680226,"about_ca_system_score_gemma":0.000040120463,"threshold_uncertainty_score":0.423023},"labels":[],"label_agreement":null},{"id":"W3139774693","doi":"10.1109/wsc.2008.4736350","title":"Optimization of Multi-Project Environment (OPMPE)","year":2008,"lang":"en","type":"article","venue":"2008 Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Project planning; Project management; Scheduling (production processes); Work (physics); Project management triangle; Operations research; Process management; Systems engineering; Engineering; Operations management","score_opus":0.27898157805244234,"score_gpt":0.4156624431019147,"score_spread":0.13668086504947236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139774693","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024786413,0.00002426289,0.97160363,0.00015461317,0.00006344319,0.00039533243,0.000024116642,0.00006558482,0.0028825945],"genre_scores_gemma":[0.95496917,0.000033903783,0.042429477,0.000085808904,0.00003177629,0.000024872481,0.000022013915,0.000011792011,0.002391187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778056,0.00010694004,0.0008067247,0.00042282054,0.0007288749,0.00015407096],"domain_scores_gemma":[0.9979991,0.00046370478,0.00037987757,0.000639958,0.00045703992,0.000060361745],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004017222,0.00014646181,0.00024781085,0.00027841318,0.00015222802,0.000043137064,0.0004380357,0.00009181107,0.0021666032],"category_scores_gemma":[0.00036086078,0.00012459762,0.000109748704,0.0004225041,0.00016194308,0.0003327507,0.00009708323,0.0000873067,0.00017584776],"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":[0.000018757639,0.000114616305,0.007804496,0.0000017810929,0.0000070208075,9.3879015e-7,0.0007031136,0.98347634,0.00042598197,0.00071982446,0.00091899844,0.005808104],"study_design_scores_gemma":[0.00036158753,0.000043112603,0.01204444,0.000008918396,0.000005547533,0.0000030464275,0.00012012227,0.9788672,0.0016022653,0.0005401534,0.006263059,0.00014059474],"about_ca_topic_score_codex":0.000028056698,"about_ca_topic_score_gemma":0.000002785737,"teacher_disagreement_score":0.93018275,"about_ca_system_score_codex":0.000034405093,"about_ca_system_score_gemma":0.000073788884,"threshold_uncertainty_score":0.99874556},"labels":[],"label_agreement":null},{"id":"W3141251260","doi":"","title":"Algorithmic Design and Beowulf Cluster Implementation of Stochastic Simulation Code of Stochastic Simulation Code for Large Scale Non Linear Models","year":2001,"lang":"en","type":"article","venue":"Computing in Economics and Finance","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Solver; Computation; Mathematical optimization; Nonlinear system; Algorithm; Mathematics","score_opus":0.08592655342785195,"score_gpt":0.39359783428985773,"score_spread":0.3076712808620058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141251260","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":[0.4442706,0.00002343902,0.5551138,0.000032001666,0.000021349408,0.0004761402,0.00005388833,0.000005572313,0.0000031864272],"genre_scores_gemma":[0.9570117,0.000025355235,0.042846378,0.000030297637,0.000030652493,0.000017653243,0.000013776368,0.000011081924,0.000013110687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861306,0.00002956309,0.0007814742,0.0003351777,0.000088559704,0.00015214924],"domain_scores_gemma":[0.99768424,0.0014081015,0.00050276006,0.0001947931,0.00018647344,0.000023617085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010930323,0.00010576576,0.00027389047,0.00016909484,0.000105788524,0.000033614462,0.00012629526,0.00006835274,0.0000020694958],"category_scores_gemma":[0.00007521286,0.00011104202,0.000037302703,0.00017221802,0.000044035773,0.00019798934,0.000066598455,0.000048997554,4.8292014e-7],"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":[0.00003463389,0.000025472253,0.00048280082,0.000004817743,0.0000022853135,2.0119657e-8,0.0005040547,0.9607384,0.000016371554,0.0010555516,0.0000036755143,0.03713189],"study_design_scores_gemma":[0.00095948915,0.0000780955,0.0035781353,0.000024853804,0.0000073495867,5.90422e-7,0.00013601195,0.9713151,0.000063914005,0.023657538,0.00007744713,0.00010151739],"about_ca_topic_score_codex":0.00001495162,"about_ca_topic_score_gemma":0.000042220658,"teacher_disagreement_score":0.5127411,"about_ca_system_score_codex":0.000029575482,"about_ca_system_score_gemma":0.00003160561,"threshold_uncertainty_score":0.45281622},"labels":[],"label_agreement":null},{"id":"W3141338635","doi":"10.1109/wsc.2009.5429650","title":"Performing distributed simulation with RESTful Web-services","year":2009,"lang":"en","type":"article","venue":"Proceedings of the 2009 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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":"Computer science; Middleware (distributed applications); Representational state transfer; Interoperability; Web service; XML; SOAP; Plug-in; Distributed computing; Mashup; Semantics (computer science); Service-oriented architecture; Interface (matter); Operating system; World Wide Web; Programming language; Web modeling","score_opus":0.0669868797288936,"score_gpt":0.36367002495773987,"score_spread":0.29668314522884626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141338635","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":[0.9337811,0.000019108955,0.05583517,0.0021075485,0.000076965094,0.00082672865,0.000051608233,0.00021098318,0.007090774],"genre_scores_gemma":[0.99744046,0.000002645289,0.0015183364,0.0003029572,0.00008757791,0.00001413109,0.000011948914,0.000014161444,0.00060778524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970067,0.000022986707,0.00091117213,0.0005482533,0.0012264795,0.00028440644],"domain_scores_gemma":[0.9957087,0.00043671136,0.0008747842,0.00044581728,0.0024312793,0.00010267479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008147285,0.000258259,0.00033918358,0.00025816975,0.00032513746,0.0004289707,0.0011829698,0.00013497178,0.00023781254],"category_scores_gemma":[0.0004643006,0.00016278306,0.00014673463,0.0010674263,0.00011825854,0.0011430805,0.00012448912,0.00021482757,0.000033923105],"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":[0.0006206916,0.0004063549,0.12551948,0.00005959771,0.000051220457,5.4402227e-7,0.0034232386,0.74855226,0.021050235,0.01828113,0.0012856582,0.08074959],"study_design_scores_gemma":[0.00047423426,0.00015393713,0.067993745,0.00015658414,0.000030762323,0.0000017134728,0.000516937,0.8953283,0.00355993,0.024527784,0.007016524,0.00023953871],"about_ca_topic_score_codex":0.000009565167,"about_ca_topic_score_gemma":0.000008742283,"teacher_disagreement_score":0.14677607,"about_ca_system_score_codex":0.00005538035,"about_ca_system_score_gemma":0.00006301226,"threshold_uncertainty_score":0.6638101},"labels":[],"label_agreement":null},{"id":"W3142254730","doi":"10.1109/wsc.2009.5429634","title":"Using genetic algorithms to limit the optimism in Time Warp","year":2009,"lang":"en","type":"article","venue":"Proceedings of the 2009 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"Computer science; Heuristic; Genetic algorithm; Construct (python library); Limit (mathematics); Algorithm; Time limit; Window (computing); Quality (philosophy); Mathematical optimization; Artificial intelligence; Machine learning; Mathematics; Engineering","score_opus":0.16584928377450678,"score_gpt":0.40636770275332246,"score_spread":0.24051841897881568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142254730","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":[0.8541687,0.000032264503,0.12816298,0.009793603,0.000117456955,0.001484176,0.000015329835,0.00010389159,0.0061215768],"genre_scores_gemma":[0.98313284,0.0000022798426,0.014365598,0.0010239121,0.00007685301,0.000013947094,5.8808e-7,0.000010426883,0.0013735563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755496,0.000027684626,0.0008063663,0.00043412682,0.0009257045,0.0002511372],"domain_scores_gemma":[0.9978757,0.00031696714,0.00038168428,0.00039461887,0.00094937714,0.000081649894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009928881,0.00018186655,0.000259511,0.00026397518,0.00017184787,0.00034595488,0.0016373455,0.00009739477,0.00024745823],"category_scores_gemma":[0.0007262576,0.000109779634,0.00012999725,0.001051501,0.00008216204,0.00033613513,0.0002075294,0.00017937635,0.00007828724],"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":[0.00013494406,0.00033791742,0.02233269,0.000008898691,0.000021545633,5.5944963e-7,0.005697516,0.7478222,0.035631467,0.005052323,0.0065308427,0.17642906],"study_design_scores_gemma":[0.00024427124,0.000075063,0.05371741,0.00007242192,0.000014373858,0.0000030876893,0.00017149391,0.89488554,0.0055676717,0.040553316,0.0045027453,0.00019261379],"about_ca_topic_score_codex":0.00001738143,"about_ca_topic_score_gemma":0.0000017856318,"teacher_disagreement_score":0.17623645,"about_ca_system_score_codex":0.00005717585,"about_ca_system_score_gemma":0.000044990127,"threshold_uncertainty_score":0.44766837},"labels":[],"label_agreement":null},{"id":"W3144817060","doi":"10.1109/wsc.2011.6147788","title":"Rethinking the initialization bias problem in steady-state discrete event simulation","year":2011,"lang":"en","type":"article","venue":"","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":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Initialization; Counterintuitive; Estimator; Discrete event simulation; Event (particle physics); Steady state (chemistry); Transient (computer programming); Computer science; Computer simulation; Statistical physics; Applied mathematics; Mathematics; Statistics; Simulation; Physics","score_opus":0.3578134610354652,"score_gpt":0.4374320601397335,"score_spread":0.07961859910426833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144817060","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":[0.10094285,0.000012223937,0.8489683,0.0007995037,0.000060980787,0.00085914746,0.0000047653034,0.00015741642,0.048194777],"genre_scores_gemma":[0.9925307,0.0000049020396,0.0057138097,0.0003278797,0.000019985417,0.00005654043,0.000006252067,0.000009364134,0.0013305711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799585,0.00022407253,0.00071126095,0.00029225097,0.0006290985,0.00014748998],"domain_scores_gemma":[0.99821824,0.0007870449,0.00024860335,0.00048245006,0.00022749505,0.000036166442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026625136,0.00009311785,0.000114707735,0.00018827026,0.00016939799,0.00013623331,0.00041952136,0.000053178566,0.0006298262],"category_scores_gemma":[0.00048031658,0.000053377284,0.000055704902,0.0010030589,0.00005378789,0.00036624755,0.00009155433,0.00010679659,0.00010780914],"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":[0.00008086595,0.00020642231,0.07848706,0.0000075878693,0.000014866807,0.0000034252282,0.05246921,0.3483944,0.00020476234,0.34319925,0.0014456935,0.17548649],"study_design_scores_gemma":[0.0001307235,0.000022561928,0.020902708,0.000012133869,0.0000028467455,5.1152534e-7,0.00039503296,0.2850929,0.0006395373,0.6886934,0.004011343,0.00009630232],"about_ca_topic_score_codex":0.0002131531,"about_ca_topic_score_gemma":0.00022582046,"teacher_disagreement_score":0.89158785,"about_ca_system_score_codex":0.00003195911,"about_ca_system_score_gemma":0.000030312145,"threshold_uncertainty_score":0.68961555},"labels":[],"label_agreement":null},{"id":"W3147111781","doi":"10.1109/wsc48552.2020.9383948","title":"A dEVS Simulation Algorithm Based on Shared Memory for Enhancing Performance","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Formalism (music); Exploit; Synchronization (alternating current); Parallel computing; Distributed computing; Overhead (engineering); Modeling and simulation; Algorithm; Simulation; Operating system","score_opus":0.17847356685325916,"score_gpt":0.42073541777544154,"score_spread":0.2422618509221824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147111781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078133,0.0000025588338,0.98547393,0.0020769853,0.000032323143,0.0005463322,0.0000229227,0.00019909223,0.0038325596],"genre_scores_gemma":[0.9104292,2.9996806e-7,0.08474871,0.0038669086,0.00010170127,0.00008931686,0.00001736473,0.000009655156,0.0007368751],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856824,0.000022423073,0.00040186924,0.0003533049,0.00052307063,0.00013112456],"domain_scores_gemma":[0.99783295,0.0013811844,0.00011470564,0.00029266754,0.00028290402,0.000095562515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445727,0.000091033224,0.00013338769,0.00009382485,0.00017802653,0.00012274487,0.00028741083,0.00005064043,0.0008660467],"category_scores_gemma":[0.0008048182,0.00006991182,0.00008322178,0.0005211468,0.0000152175035,0.00020754944,0.000027113247,0.00005447905,0.00022438212],"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":[0.00003860794,0.000030435187,0.00019658057,0.0000055218884,0.0000020994137,1.3052788e-7,0.00017162452,0.46197462,0.0005969287,0.0003788254,0.0039306697,0.53267395],"study_design_scores_gemma":[0.0002737283,0.00010919298,0.0006155257,0.0000051633983,0.0000028551492,5.3409025e-8,0.000069647394,0.9612583,0.01189881,0.00073456444,0.024938378,0.00009376005],"about_ca_topic_score_codex":0.0000023369146,"about_ca_topic_score_gemma":0.0000021611818,"teacher_disagreement_score":0.90261585,"about_ca_system_score_codex":0.000022008557,"about_ca_system_score_gemma":0.000043473225,"threshold_uncertainty_score":0.94826037},"labels":[],"label_agreement":null},{"id":"W3147274174","doi":"10.1109/wsc.2006.323163","title":"A Simulation Algorithm for Dynamic Structure DEVS Modeling","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"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; Rotation formalisms in three dimensions; Correctness; Computer science; Formalism (music); Algorithm; Modeling and simulation; Adaptation (eye); Distributed computing; Object-oriented modeling; Programming language; Software; Simulation; Mathematics","score_opus":0.07613980563061551,"score_gpt":0.4319861261625328,"score_spread":0.3558463205319173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147274174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024252668,0.00001325951,0.9740032,0.0002088196,0.00003803942,0.00036890668,0.000050215083,0.00013981729,0.00092508463],"genre_scores_gemma":[0.7517031,1.7273022e-7,0.2464754,0.00008160014,0.000049980594,0.000020402149,0.00003327665,0.0000068480927,0.0016292658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881446,0.000013581689,0.00039689595,0.00027701876,0.00037468201,0.000123377],"domain_scores_gemma":[0.99860626,0.00060911593,0.000082163715,0.00029718893,0.0003774289,0.000027862545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029969885,0.000077684344,0.00010528226,0.00012748425,0.00016361348,0.00014126745,0.00022014184,0.00006890185,0.00023443083],"category_scores_gemma":[0.00014204028,0.000057359804,0.00007367864,0.0003547755,0.0000132286605,0.00017012838,0.000025182737,0.00003779941,0.00002081115],"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":[0.0000011285276,0.0000072312487,0.000038100072,2.8939556e-7,7.96725e-7,2.6607955e-8,0.000006976276,0.83221704,0.00014674349,0.0058145537,0.00027619995,0.16149089],"study_design_scores_gemma":[0.00009522882,0.000005976808,0.000094932315,7.021846e-7,0.000002327438,2.1462235e-7,0.00002320559,0.6935429,0.00012583504,0.3020575,0.003994371,0.00005680361],"about_ca_topic_score_codex":0.000044472275,"about_ca_topic_score_gemma":0.000047886533,"teacher_disagreement_score":0.7275278,"about_ca_system_score_codex":0.000027193057,"about_ca_system_score_gemma":0.0000187137,"threshold_uncertainty_score":0.25668532},"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":"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":[0.9821643,0.000005406072,0.0116606895,0.0016983629,0.0005524117,0.000566854,0.000033084885,0.000119375225,0.0031995093],"genre_scores_gemma":[0.99611187,6.9792105e-7,0.0021364724,0.00013273822,0.00010963956,0.00002143843,0.0000018455729,0.00001798562,0.0014672868],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729395,0.00003060929,0.0010116166,0.0005638825,0.00087281084,0.0002271125],"domain_scores_gemma":[0.9949237,0.0008053457,0.00067629444,0.0007360432,0.002746037,0.00011259175],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010904854,0.00020392556,0.00028616065,0.00020170925,0.00031004305,0.0003717661,0.0016085552,0.0001591304,0.0012650398],"category_scores_gemma":[0.0033313746,0.00013678131,0.00020629009,0.00069758436,0.0003189872,0.0006201402,0.00043966246,0.00044423545,0.00006163727],"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":[0.00018220366,0.0005027003,0.33669916,0.00004690353,0.00006889298,2.658027e-7,0.004030435,0.08539283,0.47790623,0.039696213,0.003920039,0.051554114],"study_design_scores_gemma":[0.00039251026,0.000056594014,0.0756211,0.00005313686,0.000029498782,0.0000054562815,0.00018502763,0.75291866,0.06471089,0.0883416,0.01735219,0.00033330754],"about_ca_topic_score_codex":0.000025232317,"about_ca_topic_score_gemma":0.00004990958,"teacher_disagreement_score":0.6675258,"about_ca_system_score_codex":0.00002725251,"about_ca_system_score_gemma":0.000052686166,"threshold_uncertainty_score":0.9996479},"labels":[],"label_agreement":null},{"id":"W3148337883","doi":"10.1109/wsc.2008.4736159","title":"Extending DEVS to support multiple occurrence in component-based simulation","year":2008,"lang":"en","type":"article","venue":"2008 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":"DEVS; Computer science; Component (thermodynamics); Formalism (music); Modeling and simulation; Discrete event simulation; Distributed computing; Theoretical computer science; Programming language; Simulation","score_opus":0.2965579688077867,"score_gpt":0.44838257394053055,"score_spread":0.15182460513274387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148337883","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":[0.3454391,0.000006189161,0.6524273,0.00032988822,0.00014275844,0.00059108145,0.00005907371,0.00015300962,0.000851587],"genre_scores_gemma":[0.993411,0.0000017199492,0.0052944827,0.00068102044,0.000053676293,0.000069156886,0.00008420768,0.000015754173,0.0003889822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963027,0.0001725181,0.0012093696,0.00081563514,0.001110406,0.00038932642],"domain_scores_gemma":[0.99525,0.0025536094,0.0003165802,0.0008145686,0.0008399823,0.00022524412],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085616275,0.00026624612,0.00037172288,0.00083176245,0.00027487366,0.00017439267,0.00073988707,0.00012919912,0.0016097205],"category_scores_gemma":[0.0018056529,0.00025292436,0.00012493283,0.0014201951,0.00010718797,0.0005885983,0.00012939626,0.00020506069,0.000909763],"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":[0.000057552872,0.00009936796,0.0944417,0.0000021856704,0.0000021837327,0.000006113608,0.0004950898,0.88414866,0.00034742808,0.0002121843,0.00084996736,0.019337596],"study_design_scores_gemma":[0.00062555145,0.000075418786,0.09920223,0.000032499127,0.000002945692,0.0000020857165,0.000058345013,0.87975144,0.0007128373,0.00066646305,0.018590938,0.00027921726],"about_ca_topic_score_codex":0.000046256526,"about_ca_topic_score_gemma":0.00007896862,"teacher_disagreement_score":0.64797187,"about_ca_system_score_codex":0.00012836026,"about_ca_system_score_gemma":0.00017688732,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W3148956636","doi":"10.1109/wsc.2006.323185","title":"Compiled Code in Distributed Logic Simulation","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"Logic simulation; Computer science; Code (set theory); Overhead (engineering); Logic gate; Discrete event simulation; Parallel computing; Logic synthesis; Simulation; Programming language; Algorithm","score_opus":0.16595004226166596,"score_gpt":0.45882773148473505,"score_spread":0.2928776892230691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148956636","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":[0.13472573,0.0000086686,0.84056693,0.0011215494,0.000023661181,0.0002458791,0.000038483824,0.00016086709,0.02310821],"genre_scores_gemma":[0.99519956,3.5710198e-7,0.0031646357,0.00016523508,0.00002600345,0.000015354928,0.00006098886,0.000003287723,0.0013645798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987499,0.000048351896,0.0004774168,0.00023152046,0.0003813103,0.000111466514],"domain_scores_gemma":[0.9986087,0.00082729885,0.00009013475,0.0003021091,0.0001472642,0.000024496027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005623837,0.00006105075,0.00011564033,0.00013815395,0.00006116053,0.000089639354,0.00022945716,0.00005030768,0.000906396],"category_scores_gemma":[0.00022733893,0.00004471708,0.000039629904,0.00089157856,0.000029407001,0.00011666722,0.000035273453,0.000049193444,0.00025607145],"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":[0.000009200192,0.00013266671,0.089169174,4.3508845e-7,7.2999e-7,0.0000010996953,0.000013034667,0.708577,0.00035727597,0.18334532,0.011719284,0.0066748005],"study_design_scores_gemma":[0.00018179567,0.000006857764,0.17402579,0.0000011456669,7.492333e-7,2.2507204e-7,0.000023643242,0.49587566,0.0002835836,0.29569358,0.033844866,0.000062098],"about_ca_topic_score_codex":0.00011242127,"about_ca_topic_score_gemma":0.0002242011,"teacher_disagreement_score":0.8604738,"about_ca_system_score_codex":0.00003655652,"about_ca_system_score_gemma":0.0000121442,"threshold_uncertainty_score":0.9924401},"labels":[],"label_agreement":null},{"id":"W3151750141","doi":"10.1109/wsc.2006.323164","title":"Applying DEVS Modeling for Discrete Event Multiple Model Control of a Time Varying Plant","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Discrete event dynamic system; Computer science; Discrete event simulation; Discrete time and continuous time; Reuse; Event (particle physics); Formalism (music); Controller (irrigation); Control engineering; Abstraction; Real-time computing; Discrete system; Distributed computing; Modeling and simulation; Simulation; Algorithm; Engineering; Mathematics","score_opus":0.09382296877021398,"score_gpt":0.3748737547320392,"score_spread":0.2810507859618252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151750141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014945333,0.000018619912,0.9817014,0.00014768796,0.000009845234,0.0010679774,0.00014883355,0.00008334963,0.0018769873],"genre_scores_gemma":[0.9274722,7.0118864e-7,0.07098222,0.000085731306,0.000028250677,0.0004884713,0.000023091996,0.000009859314,0.0009094939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841857,0.000017202,0.0006838728,0.0002770685,0.0004380963,0.00016516157],"domain_scores_gemma":[0.9984042,0.0008427544,0.00017358812,0.00031884227,0.00022072051,0.000039878927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007828654,0.000093996205,0.00021949626,0.000121127865,0.0001429842,0.0000546083,0.00028737445,0.00004999404,0.000046828063],"category_scores_gemma":[0.0001781463,0.00006846785,0.00014006198,0.00018166499,0.000018288592,0.00014026424,0.000039951283,0.000038336595,0.000016534406],"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":[0.000025036627,0.000024228826,0.00024851653,0.0000019139457,0.0000033905592,4.108399e-8,0.000019582103,0.9794473,0.007583425,0.009772194,0.0004969536,0.0023773983],"study_design_scores_gemma":[0.00048275208,0.000010471865,0.000007548376,0.00000665811,0.000008004115,4.6372912e-7,0.000024599181,0.91234154,0.0025020312,0.08397832,0.0005524821,0.0000851246],"about_ca_topic_score_codex":0.000114185714,"about_ca_topic_score_gemma":0.000012286051,"teacher_disagreement_score":0.91252685,"about_ca_system_score_codex":0.000018051822,"about_ca_system_score_gemma":0.00003063646,"threshold_uncertainty_score":0.2792038},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.461173,5.189556e-7,0.5363563,0.00087381713,0.00045512067,0.0007287492,0.0003009316,0.00005100883,0.00006060794],"genre_scores_gemma":[0.94948775,1.5332796e-7,0.05002764,0.00007023606,0.00023850573,0.000027875496,0.0000465176,0.000015153099,0.000086203756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773663,0.000019746536,0.0009168908,0.00044468674,0.00066297984,0.00021909035],"domain_scores_gemma":[0.9953123,0.0010979132,0.0009985068,0.00028923355,0.0022333462,0.00006872384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085074216,0.0002036943,0.0002999879,0.00021652762,0.00037108036,0.0002872988,0.0008006725,0.00023427061,0.00015733961],"category_scores_gemma":[0.002583053,0.00014611128,0.00014894227,0.00060279545,0.00022673802,0.0004019381,0.00017900708,0.00033179746,0.000003853123],"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":[0.00065621024,0.000116066454,0.038962275,0.000048901526,0.00007814241,7.375255e-8,0.0009997699,0.5222471,0.17736164,0.19309409,0.0017923276,0.06464343],"study_design_scores_gemma":[0.00094648026,0.000026282014,0.018855514,0.000053311815,0.000030146604,0.00000407994,0.00015229409,0.8531868,0.01663014,0.10318467,0.0067018406,0.00022842686],"about_ca_topic_score_codex":0.000028390317,"about_ca_topic_score_gemma":0.00001549539,"teacher_disagreement_score":0.48831472,"about_ca_system_score_codex":0.00005109809,"about_ca_system_score_gemma":0.00012389939,"threshold_uncertainty_score":0.59582454},"labels":[],"label_agreement":null},{"id":"W3152035376","doi":"10.1109/wsc.2008.4736279","title":"A simulation based system for analysis and design of production control systems","year":2008,"lang":"en","type":"article","venue":"2008 Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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":"Computer science; Production (economics); Variety (cybernetics); Authorization; Production control; Control system; Control (management); Simulation modeling; Systems design; Control engineering; Systems engineering; Distributed computing; Engineering; Software engineering","score_opus":0.20546512933091043,"score_gpt":0.39284022966241033,"score_spread":0.1873751003314999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152035376","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":[0.034560718,0.00003388619,0.9634668,0.000116770985,0.00012077861,0.0014695,0.000053537013,0.000113929695,0.000064050735],"genre_scores_gemma":[0.99261916,0.0000014101167,0.006829999,0.000026908701,0.000065625034,0.00014189229,0.000020087382,0.00001179837,0.00028311688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974476,0.00024725814,0.0009822139,0.0005376534,0.00062860607,0.00015663268],"domain_scores_gemma":[0.9922132,0.004382745,0.0006362052,0.0005615174,0.0021288777,0.00007748484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012559892,0.00016384461,0.00046599886,0.00065404427,0.00022918468,0.00009815075,0.00023208169,0.00010725824,0.000042380907],"category_scores_gemma":[0.0016928707,0.00013834794,0.00014785734,0.0011145025,0.00011185775,0.00031710826,0.000018451452,0.000056457964,0.000008516338],"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":[0.00010742347,0.00003177617,0.0076889237,0.000015837184,0.000051827476,2.1720254e-7,0.00015745443,0.9896772,0.0004241074,0.0005399545,0.000054996264,0.001250264],"study_design_scores_gemma":[0.00058130216,0.00007348973,0.0071849716,0.000026556558,0.00013158211,9.042507e-7,0.00010128095,0.9903666,0.0006933484,0.0002687537,0.00043383596,0.0001373965],"about_ca_topic_score_codex":0.000027116945,"about_ca_topic_score_gemma":0.0000033956435,"teacher_disagreement_score":0.9580584,"about_ca_system_score_codex":0.000047949346,"about_ca_system_score_gemma":0.0000822408,"threshold_uncertainty_score":0.56416655},"labels":[],"label_agreement":null},{"id":"W3158215489","doi":"10.30958/ajte.8-2-3","title":"ANumerical Uncertainty in Parallel Processing Using Computational Fluid Dynamics as Example","year":2021,"lang":"en","type":"article","venue":"Athens Journal of Τechnology & Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"San José State University","keywords":"Computer science; Computational fluid dynamics; Computation; Aerodynamics; Interface (matter); Software; Computational resource; Message Passing Interface; Parallel computing; Computational complexity theory; Algorithm; Computational science; Message passing","score_opus":0.07395595478477392,"score_gpt":0.37558422709937267,"score_spread":0.30162827231459877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158215489","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":[0.51986146,0.00014880803,0.47915015,0.0007109155,0.00004519434,0.000030988693,0.0000012762225,0.000025785122,0.000025434943],"genre_scores_gemma":[0.9023553,0.00000991985,0.097505264,0.000062593055,0.00003532591,0.0000019825457,0.0000024034052,0.000010843751,0.000016350517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839365,0.00003678693,0.0007587669,0.00019882071,0.00042102,0.00019094831],"domain_scores_gemma":[0.9985381,0.00043486,0.00026949542,0.00019889294,0.0005007719,0.000057896865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000683924,0.0001065729,0.00029026228,0.000414224,0.00006669061,0.0000671727,0.0003407289,0.000121734585,0.000046903693],"category_scores_gemma":[0.00077324634,0.00009534418,0.000091505215,0.0010750825,0.000053651474,0.00018883693,0.00008163197,0.00031905322,0.00000602766],"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":[0.0000054760735,0.000037533413,0.0017060778,0.0000017658967,0.00000862567,0.000049006074,0.00013871196,0.9684077,0.0019485013,0.016777234,0.0000177491,0.010901654],"study_design_scores_gemma":[0.00026260826,0.000027842421,0.0018130555,0.000032382883,0.00000783706,0.0005742551,0.00033624258,0.95811665,0.0002302688,0.035622098,0.0028781865,0.00009857063],"about_ca_topic_score_codex":0.00001907087,"about_ca_topic_score_gemma":0.0000075517873,"teacher_disagreement_score":0.38249388,"about_ca_system_score_codex":0.0001468203,"about_ca_system_score_gemma":0.00017658784,"threshold_uncertainty_score":0.3888023},"labels":[],"label_agreement":null},{"id":"W3160339280","doi":"10.1145/3260241","title":"Session details: Work-in-progress session 3: agent-based simulation","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Work (physics); Multimedia; World Wide Web; Engineering; Mechanical engineering","score_opus":0.1263150161024476,"score_gpt":0.438127695657747,"score_spread":0.3118126795552994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160339280","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":[0.6534442,0.00005509255,0.3371032,0.0028920714,0.00013064001,0.001049522,0.0000020896307,0.00034735134,0.004975872],"genre_scores_gemma":[0.9810787,0.0000014174097,0.016100563,0.00046137013,0.00003638553,0.00015825518,0.000010836826,0.000013268801,0.0021391907],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751854,0.00014107427,0.00070651714,0.0004853208,0.00090517965,0.00024336949],"domain_scores_gemma":[0.99754703,0.0010590437,0.00020945609,0.00068788824,0.00037208598,0.00012449507],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085995684,0.00014630449,0.00019383764,0.00036696065,0.0001613912,0.0003409927,0.0004519029,0.00012944388,0.005541121],"category_scores_gemma":[0.00034750067,0.00009830845,0.000094230294,0.0015573849,0.00005859792,0.00054122566,0.00008623669,0.000118213975,0.0016341263],"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":[0.000028495459,0.00023202707,0.21381727,0.0000035184003,0.0000024101448,0.0000014532588,0.00009927049,0.09400819,0.000599657,0.0012071449,0.01281739,0.67718315],"study_design_scores_gemma":[0.0005032005,0.000028725246,0.20573138,0.000047321144,0.0000036892006,2.5039822e-7,0.0002191336,0.75481206,0.002756268,0.0152409,0.020416036,0.0002410091],"about_ca_topic_score_codex":0.000045316312,"about_ca_topic_score_gemma":0.000009553531,"teacher_disagreement_score":0.67694217,"about_ca_system_score_codex":0.000053833668,"about_ca_system_score_gemma":0.0000379166,"threshold_uncertainty_score":0.99914324},"labels":[],"label_agreement":null},{"id":"W3166586134","doi":"10.2139/ssrn.3730349","title":"SIR Model with Stochastic Transmission","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations; University of Toronto","funders":"","keywords":"Transmission (telecommunications); Stochastic modelling; Computer science; Mathematics; Statistics; Telecommunications","score_opus":0.06818053307747253,"score_gpt":0.35598178777077427,"score_spread":0.28780125469330176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166586134","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":[0.021899093,0.00021430888,0.96755004,0.009445818,0.000005942518,0.00012780135,0.0000015535531,0.000059895217,0.0006955331],"genre_scores_gemma":[0.9953153,0.00008248285,0.0029106198,0.00050438795,0.00008484594,0.000006290567,7.6105107e-7,0.000013468556,0.0010818358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787617,0.000040825693,0.00033437018,0.0002449685,0.00073988,0.0007638124],"domain_scores_gemma":[0.9992427,0.00012191849,0.00014478811,0.00014109825,0.0001763568,0.00017312272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011535933,0.00010128815,0.0001441372,0.00007723858,0.00022907485,0.00011325019,0.00048879784,0.000043569074,0.000090107635],"category_scores_gemma":[0.00009869941,0.000063268126,0.00008020543,0.000498448,0.00003269744,0.00020136953,0.0000190898,0.00081236206,0.00006632984],"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":[0.00025740766,0.000082370614,0.00008998313,0.0000014802005,0.0000396378,0.000001711198,0.00072697306,0.40665662,0.002706464,0.30867127,0.0013952772,0.2793708],"study_design_scores_gemma":[0.00033387763,0.00019115886,0.000026119462,0.0000037486311,0.000012559523,0.00004748085,0.00043977145,0.45139006,0.00015576553,0.5443657,0.0029353998,0.000098366625],"about_ca_topic_score_codex":0.0000023542475,"about_ca_topic_score_gemma":0.0000072222156,"teacher_disagreement_score":0.9734162,"about_ca_system_score_codex":0.000109693436,"about_ca_system_score_gemma":0.0010157488,"threshold_uncertainty_score":0.3529354},"labels":[],"label_agreement":null},{"id":"W3169037852","doi":"","title":"Some Markov-Switching Models for the Toronto Stock Exchange","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Markov chain; Heteroscedasticity; Stock exchange; Econometrics; Mathematics; Economics; Statistics; Finance","score_opus":0.11065431068885885,"score_gpt":0.344553627159967,"score_spread":0.23389931647110818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169037852","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":[0.03208974,0.00479118,0.8262398,0.00859187,0.00037747846,0.0019869464,0.0006473359,0.00038296287,0.12489269],"genre_scores_gemma":[0.8515997,0.002679405,0.03427994,0.001249893,0.00047580543,0.000050291244,0.0001037546,0.0000615138,0.10949973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975398,0.00029733966,0.0003289987,0.0006738364,0.0007832711,0.0003767632],"domain_scores_gemma":[0.99394363,0.003868992,0.0001986801,0.0013217765,0.00049758516,0.00016934596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009427832,0.00020671777,0.00028060796,0.00016675166,0.0012710823,0.00018338357,0.0016586791,0.000087200984,0.0004651041],"category_scores_gemma":[0.000453878,0.00016841588,0.00037789653,0.0005792387,0.00013704748,0.0008526325,0.00091258343,0.0002515189,0.000016849968],"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":[0.00034052003,0.00037871997,0.00045901223,0.000027613334,0.00025952654,0.00006256048,0.014404019,0.0022665903,0.0024357375,0.62974924,0.02623634,0.32338014],"study_design_scores_gemma":[0.0006191935,0.000059570142,0.0007596508,0.00002472723,0.000056597593,0.000012902955,0.009253498,0.29762515,0.00012250185,0.059355874,0.6318275,0.00028286575],"about_ca_topic_score_codex":0.00059057324,"about_ca_topic_score_gemma":0.0028216918,"teacher_disagreement_score":0.8195099,"about_ca_system_score_codex":0.00021296472,"about_ca_system_score_gemma":0.00024704618,"threshold_uncertainty_score":0.97762656},"labels":[],"label_agreement":null},{"id":"W3173488012","doi":"10.1016/j.ecns.2021.06.008","title":"The Rise of Virtual Simulation: Pandemic Response or Enduring Pedagogy?","year":2021,"lang":"en","type":"article","venue":"Clinical Simulation in Nursing","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Debriefing; Instructional simulation; Pandemic; Relevance (law); Coronavirus disease 2019 (COVID-19); Medical education; Nursing; Nurse education; Psychology; Medicine; Virtual reality; Computer science; Political science; Human–computer interaction","score_opus":0.33307852834634427,"score_gpt":0.6202865710600147,"score_spread":0.28720804271367045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173488012","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":[0.8918925,0.00020528211,0.10473311,0.001427506,0.00045318968,0.00032822607,0.000008021283,0.00008413075,0.00086805865],"genre_scores_gemma":[0.9969452,0.000030326331,0.0010500748,0.00009374387,0.0001738146,0.000011453478,0.0000031961774,0.00001514409,0.0016770151],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945832,0.0014252005,0.0023498815,0.0005375048,0.00086030277,0.00024392526],"domain_scores_gemma":[0.93895644,0.058695283,0.00059860497,0.000895351,0.0007453053,0.00010903589],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0076712254,0.00013762662,0.00036649685,0.0001644219,0.00035147995,0.00015207904,0.00045236904,0.00021212002,0.00032923315],"category_scores_gemma":[0.022116883,0.000094301606,0.00020837794,0.0014344332,0.00035652387,0.00025590038,0.00008973175,0.00032087325,0.000041881667],"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":[0.0008518922,0.00013709637,0.049935132,9.780215e-7,0.000004336998,0.0000025097065,0.00028734165,0.6836527,0.00009319932,0.0015725471,0.00008209619,0.2633802],"study_design_scores_gemma":[0.00081892015,0.000091113834,0.18637957,0.000094382645,0.000011530637,0.000002104819,0.0008038612,0.76780397,0.00017468593,0.021772778,0.021913629,0.00013349103],"about_ca_topic_score_codex":0.0000025602988,"about_ca_topic_score_gemma":0.000014017773,"teacher_disagreement_score":0.26324672,"about_ca_system_score_codex":0.000095205876,"about_ca_system_score_gemma":0.00028416872,"threshold_uncertainty_score":0.9861202},"labels":[],"label_agreement":null},{"id":"W3173527367","doi":"10.1109/ipdpsw52791.2021.00156","title":"Load Balancing Schemes for Large Synthetic Population-Based Complex Simulators","year":2021,"lang":"en","type":"article","venue":"","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":"Simon Fraser University","funders":"Office of Science","keywords":"Computer science; Distributed computing; Load balancing (electrical power); Population; Parallel computing","score_opus":0.11562822738998749,"score_gpt":0.4296865115629632,"score_spread":0.31405828417297577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173527367","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":[0.09621816,0.00003345183,0.89726305,0.0019861257,0.00007864152,0.00037832596,0.00006982128,0.00023184286,0.0037405523],"genre_scores_gemma":[0.9600348,3.3014987e-7,0.03664243,0.0011323886,0.00004422666,0.00004755425,0.00006197788,0.000012280101,0.0020240515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981167,0.00004763999,0.00050809793,0.00042921733,0.0006858509,0.00021252695],"domain_scores_gemma":[0.9964729,0.0019145779,0.00012618965,0.0006283769,0.00077461574,0.00008335936],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089598115,0.00010597143,0.00020353509,0.000092853224,0.00028887496,0.00018561099,0.00026419008,0.00006473562,0.0029921932],"category_scores_gemma":[0.002147663,0.000085689644,0.00016083218,0.0006302619,0.000013581601,0.000107925385,0.000051517778,0.000047365236,0.00011069682],"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":[0.00003599674,0.00051559834,0.2792537,0.00003350836,0.000029501298,0.0000031279683,0.00013552146,0.0193102,0.0052876114,0.60901463,0.02941842,0.056962207],"study_design_scores_gemma":[0.0004990663,0.000013683268,0.021667637,0.00000852324,0.000010583412,8.892974e-7,0.00015988851,0.5928644,0.0074158865,0.041400354,0.33576807,0.00019098252],"about_ca_topic_score_codex":0.000022711203,"about_ca_topic_score_gemma":0.00005369208,"teacher_disagreement_score":0.8638166,"about_ca_system_score_codex":0.000062513755,"about_ca_system_score_gemma":0.00013586257,"threshold_uncertainty_score":0.9979192},"labels":[],"label_agreement":null},{"id":"W3193303729","doi":"10.5539/ijsp.v10n5p31","title":"Simulation-Based Optimization for Convex Functions Over Discrete Sets","year":2021,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Regular polygon; Combinatorics; Point (geometry); Convergence (economics); Convex function; Set (abstract data type); Discrete mathematics; Applied mathematics; Computer science; Geometry","score_opus":0.07801994245151024,"score_gpt":0.42578686941021515,"score_spread":0.3477669269587049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193303729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011005388,0.00003444561,0.9857017,0.0017113046,0.00033866914,0.00016019416,0.00093022024,0.000008709391,0.0001093886],"genre_scores_gemma":[0.76341975,0.0000067254746,0.23606214,0.00022718971,0.000083281695,0.000008491058,0.00007626148,0.0000053563663,0.00011082262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982035,0.00007494744,0.000755609,0.00019548571,0.0006940964,0.000076345954],"domain_scores_gemma":[0.98999316,0.0046609244,0.00047341394,0.00016974153,0.004624306,0.00007845403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010101323,0.00007805138,0.00016688283,0.00011065461,0.00010650059,0.00024839313,0.00020378397,0.000047151505,0.0007125406],"category_scores_gemma":[0.006430862,0.00006345054,0.00008622274,0.00016443689,0.000074793235,0.00019106899,0.00003592565,0.000080212405,0.000002008881],"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":[0.0000807688,0.00009178586,0.008051953,0.000005842482,0.000033485994,0.0000025240456,0.000048790003,0.94703627,0.000033192442,0.016751552,0.0014757477,0.026388096],"study_design_scores_gemma":[0.0004752753,0.00004989834,0.005920289,0.000010216003,0.000018083709,0.0000032519592,0.000029561137,0.7895892,0.00008456511,0.19003963,0.013716023,0.00006396776],"about_ca_topic_score_codex":0.000004052982,"about_ca_topic_score_gemma":0.000008093841,"teacher_disagreement_score":0.75241435,"about_ca_system_score_codex":0.000052558116,"about_ca_system_score_gemma":0.00020373856,"threshold_uncertainty_score":0.780182},"labels":[],"label_agreement":null},{"id":"W3196884024","doi":"10.1007/s00158-021-03051-6","title":"Surrogate based MDO of a canard configuration aircraft","year":2021,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada","keywords":"Engineering design process; Aerospace engineering; Aeronautics; Surrogate model; Engineering; Configuration design; Computer science; Systems engineering; Mechanical engineering","score_opus":0.05325434815472917,"score_gpt":0.3714150273889187,"score_spread":0.3181606792341895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196884024","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":[0.6114587,0.000119299024,0.38370186,0.0025907613,0.00018216214,0.00034043315,0.00009297281,0.00007946554,0.0014343485],"genre_scores_gemma":[0.94448626,0.000014860603,0.05474437,0.00004544625,0.00002951745,0.000011599098,0.0001576475,0.000007106734,0.0005032113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985913,0.0000909384,0.00047936375,0.0003411763,0.00038392955,0.00011329471],"domain_scores_gemma":[0.9985021,0.0002444139,0.00021090505,0.0002983748,0.0006711509,0.00007308618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002616664,0.000108711094,0.00018852133,0.000112730726,0.00025502552,0.000073485004,0.00012520471,0.00006991929,0.0004769578],"category_scores_gemma":[0.00025393433,0.00008511511,0.00006185681,0.00055521465,0.00009164998,0.00024817433,0.00006972655,0.000057688176,0.0000031539926],"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":[0.000053999713,0.000030026295,0.011405828,0.000022427852,0.0000111204545,0.000004063699,0.0005019363,0.9547573,0.008162396,0.006588114,0.00028014454,0.018182682],"study_design_scores_gemma":[0.00045235886,0.000039495302,0.033512764,0.000013298272,0.000020280355,0.000007688946,0.00044895645,0.94358164,0.014317366,0.0072054053,0.00026780638,0.00013295321],"about_ca_topic_score_codex":0.00003571763,"about_ca_topic_score_gemma":0.00004279189,"teacher_disagreement_score":0.33302754,"about_ca_system_score_codex":0.000017494589,"about_ca_system_score_gemma":0.00009507958,"threshold_uncertainty_score":0.52223533},"labels":[],"label_agreement":null},{"id":"W3198435904","doi":"","title":"Agent Forecasting at Flexible Horizons using ODE Flows","year":2021,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Simon Fraser University","funders":"","keywords":"Ode; Computer science; Mathematical optimization; Applied mathematics; Mathematics","score_opus":0.37409545717126097,"score_gpt":0.46026877042013414,"score_spread":0.08617331324887317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198435904","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":[0.63485646,0.00006893711,0.22056586,0.0070592314,0.0006932025,0.0002132096,0.00006413219,0.00030637736,0.13617261],"genre_scores_gemma":[0.97296876,0.000015413852,0.010188872,0.00027340313,0.00015917556,0.000014589839,0.00008316045,0.00001685603,0.016279751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975362,0.00015566667,0.0005103032,0.0005267586,0.0010666435,0.00020444111],"domain_scores_gemma":[0.99789774,0.00064299564,0.00026810766,0.0003316866,0.0007614713,0.00009796582],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00072608097,0.00015257693,0.00018465846,0.00022668175,0.0004157856,0.00039491776,0.00052516704,0.00006660432,0.0075517753],"category_scores_gemma":[0.0023406427,0.00013592008,0.00012924797,0.00041032454,0.000047738664,0.00018699428,0.0003384642,0.00033480764,0.00037661113],"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":[0.0001063057,0.00022503224,0.051133506,0.0000053464782,0.000095063144,0.00009485474,0.00072158035,0.34317714,0.056301627,0.32226187,0.0014364462,0.22444125],"study_design_scores_gemma":[0.0001958029,0.000032316777,0.0005501049,0.000040952058,0.0000058321366,0.0000361995,0.00023377438,0.927059,0.004332875,0.01700725,0.050352048,0.00015386389],"about_ca_topic_score_codex":0.00009759645,"about_ca_topic_score_gemma":0.00008665582,"teacher_disagreement_score":0.58388186,"about_ca_system_score_codex":0.00017205274,"about_ca_system_score_gemma":0.00010731002,"threshold_uncertainty_score":0.99335545},"labels":[],"label_agreement":null},{"id":"W3202406859","doi":"10.23919/annsim52504.2021.9552123","title":"A Web Based Modeling and Simulation Environment to Support the DEVS Simulation Lifecycle","year":2021,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"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; Discrete event simulation; Modular design; Debugging; Workflow; Software engineering; Distributed computing; Modeling and simulation; Reusability; Systems engineering; Software; Operating system; Simulation; Database; Engineering","score_opus":0.14156276047288124,"score_gpt":0.4145573099360562,"score_spread":0.272994549463175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202406859","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":[0.21205159,0.000010544776,0.7833628,0.0026276198,0.000018688283,0.0002728729,0.000006333177,0.000060306178,0.0015892349],"genre_scores_gemma":[0.98555267,0.0000024299143,0.01136642,0.00194762,0.000037680984,0.0000335294,0.000009916888,0.000008682535,0.0010410476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834305,0.00008184841,0.00042267845,0.0003800363,0.00064297405,0.00012939259],"domain_scores_gemma":[0.9978752,0.0012421068,0.0000670821,0.00054870854,0.00016899763,0.00009789477],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008903289,0.00009196198,0.00011239133,0.00008765861,0.00025119848,0.0002239647,0.00017513454,0.000050577284,0.0013665677],"category_scores_gemma":[0.0005214095,0.00006169082,0.000053410247,0.00039941233,0.000021272519,0.00015578468,0.000110138964,0.00005769283,0.00021510318],"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":[0.000004497362,0.000019172609,0.00089104247,4.6088059e-7,0.0000015050578,3.1836677e-7,0.000066889115,0.97222465,0.0003715664,0.00058879313,0.00018412143,0.025646986],"study_design_scores_gemma":[0.00015800666,0.000019882942,0.0011385418,0.0000019947936,0.000006098527,4.154423e-7,0.0001324505,0.9537934,0.0005138866,0.005418722,0.038732216,0.00008435779],"about_ca_topic_score_codex":0.00000767487,"about_ca_topic_score_gemma":0.000011781265,"teacher_disagreement_score":0.7735011,"about_ca_system_score_codex":0.000028910023,"about_ca_system_score_gemma":0.00005799823,"threshold_uncertainty_score":0.9995463},"labels":[],"label_agreement":null},{"id":"W3203605282","doi":"10.1145/3466169","title":"Uncertainty on Discrete-Event System Simulation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","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":"DEVS; Rotation formalisms in three dimensions; Discrete event simulation; Computer science; Bounding overwatch; Formalism (music); Algorithm; Discrete event dynamic system; Theoretical computer science; Modeling and simulation; Discrete system; Mathematics; Simulation; Artificial intelligence","score_opus":0.10808459565139562,"score_gpt":0.39605454710687205,"score_spread":0.28796995145547644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203605282","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":[0.07372292,0.000018275592,0.92477125,0.0005583773,0.00022014255,0.00024331489,0.000021054406,0.00024508333,0.00019957093],"genre_scores_gemma":[0.98673093,0.000006569779,0.012560042,0.0003015661,0.00012181709,0.000027582419,0.000027056063,0.000018970695,0.00020545571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974893,0.00018444638,0.0006704873,0.0007007654,0.0007668673,0.00018816891],"domain_scores_gemma":[0.996695,0.0015594895,0.00013495068,0.0009855547,0.0005108656,0.00011416145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005613568,0.00020172088,0.00024760596,0.00025195393,0.0005572252,0.00030283013,0.0002674545,0.00013057078,0.00005018929],"category_scores_gemma":[0.00009647765,0.0001751838,0.00015706736,0.00057763397,0.00002413205,0.00023951099,0.000019850982,0.00020089812,0.000059687354],"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":[0.000029065912,0.00006298571,0.000016780348,0.000004438247,0.000010806092,0.0000010844456,0.00012954051,0.86570746,0.000011430055,0.001575954,0.000007280192,0.1324432],"study_design_scores_gemma":[0.000376379,0.00008533811,0.000110294306,0.000059383972,0.000021373993,0.0000027122062,0.00014870764,0.98590404,0.00011097933,0.012287043,0.0007070966,0.00018664922],"about_ca_topic_score_codex":0.000017598328,"about_ca_topic_score_gemma":0.0000067145847,"teacher_disagreement_score":0.91300803,"about_ca_system_score_codex":0.00009402207,"about_ca_system_score_gemma":0.000040278752,"threshold_uncertainty_score":0.7143788},"labels":[],"label_agreement":null},{"id":"W3204456567","doi":"10.3991/ijoe.v4i2.451","title":"Discrete Event Simulation: State of the Art","year":2007,"lang":"en","type":"article","venue":"International Journal of Online and Biomedical Engineering (iJOE)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Becton Dickinson (Canada)","funders":"Fairleigh Dickinson University","keywords":"Discrete event simulation; State (computer science); Event (particle physics); Computer science; Algorithm; Simulation; Physics","score_opus":0.031756901975080166,"score_gpt":0.40961855247109297,"score_spread":0.3778616504960128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204456567","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":[0.40224516,0.00007780585,0.5920107,0.004919354,0.0005799111,0.00005978813,0.000038610062,0.000010276205,0.000058398826],"genre_scores_gemma":[0.9946186,0.000024235858,0.0046603633,0.00012853504,0.000308565,3.1811584e-7,0.0000038813914,0.0000047277795,0.00025077548],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997659,0.000013724272,0.0008650331,0.0000908388,0.0012844824,0.00008689855],"domain_scores_gemma":[0.9982219,0.0006282882,0.0003678755,0.00012333448,0.0005604927,0.00009815211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012787419,0.00006888319,0.00014149008,0.00024639996,0.000024017494,0.000035803216,0.0005109201,0.00003712533,0.00006111775],"category_scores_gemma":[0.00092342653,0.000038868573,0.0001190035,0.00031584877,0.00007406062,0.00011324159,0.0000976726,0.00015253713,0.0000023578502],"study_design_candidate":"design_other","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":[0.00019408317,0.00061660644,0.008966107,0.000015537995,0.00028075385,0.000051344512,0.00055835035,0.256616,0.018715585,0.00349097,0.0047569075,0.70573777],"study_design_scores_gemma":[0.00094301737,0.0001674314,0.15431082,0.00018278604,0.000024584697,0.00012655443,0.000094997245,0.29507184,0.003319113,0.007907201,0.5376758,0.00017586669],"about_ca_topic_score_codex":0.0000021351962,"about_ca_topic_score_gemma":0.0000018702658,"teacher_disagreement_score":0.7055619,"about_ca_system_score_codex":0.000025567466,"about_ca_system_score_gemma":0.000048901555,"threshold_uncertainty_score":0.15850143},"labels":[],"label_agreement":null},{"id":"W320445704","doi":"10.21236/ada473793","title":"The Mobile Advanced Command and Control Station (MACCS) Experimental Testbed","year":2007,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Testbed; Command and control; Computer science; Marine engineering; Environmental science; Engineering; Computer network; Telecommunications","score_opus":0.12266606172169353,"score_gpt":0.5082055156150471,"score_spread":0.3855394538933536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W320445704","genre_codex":"other","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":[0.0662109,0.008351338,0.2292853,0.0011036504,0.0013222023,0.008035744,0.00040348966,0.000773894,0.6845135],"genre_scores_gemma":[0.97011507,0.0005106612,0.001721918,0.00020619849,0.00012599524,0.00046107685,0.00004012586,0.000022034255,0.02679691],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99681026,0.00006809598,0.0008495375,0.00044270747,0.0016338979,0.00019549202],"domain_scores_gemma":[0.99452376,0.0033693854,0.0004965099,0.0006657517,0.0008507575,0.000093824565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003003799,0.0001857758,0.00029832512,0.00010756051,0.0004861552,0.00039051662,0.00040536578,0.00015943966,0.00056894746],"category_scores_gemma":[0.000668847,0.000106332,0.00009054574,0.00029409153,0.00016261137,0.0001367723,0.00008557975,0.00017875113,0.000073422336],"study_design_candidate":"not_applicable","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":[0.00008128241,0.00014225605,0.00468654,0.000006100817,0.00004107778,0.0000030464837,0.000211911,0.00013545694,0.0013328922,0.004649734,0.18767914,0.8010306],"study_design_scores_gemma":[0.00042868534,0.00006671636,0.0016528696,0.000008712085,0.000011773023,0.000012804548,0.00094719586,0.0010221358,0.0028943778,0.004542939,0.98823357,0.00017822557],"about_ca_topic_score_codex":0.00009371766,"about_ca_topic_score_gemma":0.000039734714,"teacher_disagreement_score":0.9039042,"about_ca_system_score_codex":0.000098896904,"about_ca_system_score_gemma":0.00016543549,"threshold_uncertainty_score":0.6229575},"labels":[],"label_agreement":null},{"id":"W3208689391","doi":"10.5281/zenodo.3908931","title":"Python codes for Sequential Monte Carlo sampling Technique","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Monte Carlo method; Python (programming language); Computer science; Algorithm; Statistics; Mathematics; Programming language","score_opus":0.26423853337243053,"score_gpt":0.39608643753916745,"score_spread":0.13184790416673692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208689391","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":[0.006323294,0.00003302586,0.96840423,0.00448504,0.000048649923,0.0014778688,0.0005422795,0.0015388082,0.017146787],"genre_scores_gemma":[0.98003525,0.000017156068,0.017422492,0.0005944378,0.00026788033,9.876126e-7,0.00034075274,0.0007598442,0.000561213],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978289,0.00021060964,0.0004753972,0.00058461714,0.00062161643,0.00027884837],"domain_scores_gemma":[0.99779284,0.00016778067,0.00018172454,0.0005110353,0.0011281981,0.00021844795],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015263013,0.00013187427,0.00018985434,0.00018956639,0.0018338587,0.001160493,0.0014289817,0.00008167788,0.004048078],"category_scores_gemma":[0.002974141,0.00012529679,0.0001109193,0.0009364352,0.00011620371,0.00027471603,0.0007557426,0.00018453268,0.0017770497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023352148,0.00016220275,0.000024075141,0.0000593309,0.00004986828,0.0000037800378,0.0025003366,0.0035494568,0.11454389,0.043394707,0.5200654,0.3154134],"study_design_scores_gemma":[0.00024115786,0.00015198751,0.00008519072,0.000009015574,0.000008458153,0.000012999373,0.00026789613,0.0074499985,0.005468706,0.0037348422,0.9824211,0.00014867101],"about_ca_topic_score_codex":0.000008537214,"about_ca_topic_score_gemma":2.5697497e-7,"teacher_disagreement_score":0.97371197,"about_ca_system_score_codex":0.00006931397,"about_ca_system_score_gemma":0.0000058933333,"threshold_uncertainty_score":0.9998764},"labels":[],"label_agreement":null},{"id":"W3210854672","doi":"10.1109/ds-rt52167.2021.9576149","title":"A Distributed Simulation Approach to Integrate AnyLogic and Unity for Virtual Reality Applications: Case of COVID-19 Modelling and Training in a Dialysis Unit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto General Hospital; Response Biomedical (Canada); York University","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada; University Health Network","keywords":"Computer science; High-level architecture; Reusability; Interoperability; Discrete event simulation; Virtual reality; Event (particle physics); Process (computing); Virtual training; Modeling and simulation; Simulation; Software engineering; Human–computer interaction; Operating system; Software","score_opus":0.4323201656665902,"score_gpt":0.48227299781776534,"score_spread":0.04995283215117513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210854672","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":[0.17685643,0.000039819253,0.819941,0.00038341776,0.000008021788,0.0018576583,0.00071816775,0.00005768764,0.0001378358],"genre_scores_gemma":[0.94556564,0.000021673144,0.052432995,0.00013235025,0.000019481196,0.0011664982,0.0006170167,0.00001130992,0.000033054806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970447,0.00031225788,0.0011489451,0.0009956354,0.00032337612,0.00017508639],"domain_scores_gemma":[0.9941794,0.003647189,0.00044914102,0.0007757145,0.0006938178,0.00025468456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037452343,0.00023081644,0.00063377403,0.0005243519,0.00021102301,0.0002759249,0.0003038092,0.000279409,0.000012761069],"category_scores_gemma":[0.002443237,0.0001982823,0.000108084394,0.0015004054,0.00012421099,0.00012006842,0.00044399375,0.00026132262,2.1158638e-7],"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":[0.00003019548,0.00007828014,0.00038442656,0.000047818732,0.000013776322,0.0000011877595,0.0026492518,0.9649719,0.000012987714,0.015007675,0.000012754344,0.016789775],"study_design_scores_gemma":[0.00024296003,0.00001974295,0.00009669419,0.000013568889,0.00003689417,0.000009689097,0.00951805,0.8866012,0.000026034226,0.10241798,0.0008324605,0.00018468923],"about_ca_topic_score_codex":0.00178374,"about_ca_topic_score_gemma":0.0007484525,"teacher_disagreement_score":0.7687092,"about_ca_system_score_codex":0.000086767264,"about_ca_system_score_gemma":0.00029832483,"threshold_uncertainty_score":0.80857176},"labels":[],"label_agreement":null},{"id":"W324831","doi":"","title":"Toward the Body of Knowledge of Modeling and Simulation","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":33,"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 Ottawa","funders":"","keywords":"Body of knowledge; Computer science; Scope (computer science); Curriculum; Engineering ethics; Knowledge management; Management science; Engineering; Sociology; Pedagogy","score_opus":0.19558377568510155,"score_gpt":0.4567198944575657,"score_spread":0.2611361187724642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W324831","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":[0.38850605,0.000087414475,0.601603,0.0008436019,0.0000074712007,0.00012233354,0.000001939277,0.000017804383,0.008810423],"genre_scores_gemma":[0.995347,0.000006188192,0.0042682285,0.000030463132,0.000019465491,0.000003058828,2.6212135e-7,0.0000019563288,0.000323344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933153,0.00002262164,0.00033401157,0.000097837066,0.00017494979,0.000039030372],"domain_scores_gemma":[0.99882615,0.00059423526,0.000084449595,0.00022461762,0.00025488882,0.000015669291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064109947,0.0000319704,0.00008061128,0.000059726157,0.000033902084,0.000013740799,0.00015739491,0.000023041726,0.00013578474],"category_scores_gemma":[0.00020584451,0.000017508846,0.000030243282,0.00023406798,0.000038500908,0.00008879816,0.00004543773,0.00002302301,0.000009255442],"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":[0.000006699407,0.00005753975,0.0012566649,0.0000029220248,0.0000040344994,5.964278e-9,0.0016362637,0.8169592,0.0017534414,0.04146468,0.0003487397,0.13650979],"study_design_scores_gemma":[0.000053808464,0.000007931845,0.0007029489,0.0000020062985,0.000002535989,9.576371e-8,0.0002142989,0.9755125,0.002730256,0.017912423,0.0028402067,0.000020974092],"about_ca_topic_score_codex":0.000013009443,"about_ca_topic_score_gemma":0.000004081627,"teacher_disagreement_score":0.60684097,"about_ca_system_score_codex":0.0000035351118,"about_ca_system_score_gemma":0.000011069589,"threshold_uncertainty_score":0.14867477},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"grok","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"opus","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W33052927","doi":"10.1371/journal.pone.0240448","title":"Proceedings of the 14th Communications and Networking Symposium","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Publishing; Computer science; Field (mathematics); Telecommunications; Engineering ethics; Library science; Operations research; Engineering; Political science","score_opus":0.39719253865211207,"score_gpt":0.3495565453813378,"score_spread":0.04763599327077428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W33052927","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":[0.86622924,0.00017180914,0.0003005911,0.0028499146,0.000019946212,0.00050624885,0.0000057771335,0.0000736843,0.12984276],"genre_scores_gemma":[0.9902316,0.000088543806,0.00888684,0.000088452245,0.000022130087,0.00002922451,2.3717259e-7,0.000003896607,0.00064908894],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992852,0.000011904453,0.00022904061,0.00011056264,0.00030326052,0.00006002522],"domain_scores_gemma":[0.9989517,0.00017198887,0.00015633005,0.0004380954,0.00025691482,0.00002501219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041469178,0.000037569363,0.0000882414,0.00003824198,0.000147398,0.000032924836,0.00067049847,0.000026925696,0.000036767033],"category_scores_gemma":[0.000063098356,0.00002405071,0.000023578305,0.00037907192,0.00013306315,0.000087055734,0.0002672847,0.000062448285,0.000007015318],"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":[0.00001422524,0.0015553694,0.69857746,0.000021598484,0.00007424231,3.4550364e-8,0.0055646133,7.248853e-7,0.07969749,0.19422741,0.0029361434,0.01733067],"study_design_scores_gemma":[0.00052024244,0.00019686764,0.24752007,0.00041212616,0.00024145079,0.0000033805466,0.0017196815,0.030515516,0.21944058,0.46636695,0.032609604,0.00045351402],"about_ca_topic_score_codex":0.000012783898,"about_ca_topic_score_gemma":0.0000030587946,"teacher_disagreement_score":0.4510574,"about_ca_system_score_codex":0.000004670188,"about_ca_system_score_gemma":0.000007388837,"threshold_uncertainty_score":0.12459642},"labels":[],"label_agreement":null},{"id":"W331281410","doi":"10.1007/0-306-47015-2_25","title":"World Distribution Protocol for Support of Scalable General Purpose Distributed Virtual Environments","year":2005,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","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":"University of Windsor","funders":"","keywords":"Computer science; Scalability; Protocol (science); Obstacle; Context (archaeology); Architecture; Virtual reality; Distributed computing; Visualization; Virtual world; Systems engineering; Human–computer interaction; Engineering; Artificial intelligence; Geography","score_opus":0.10237609098208936,"score_gpt":0.3902664385202277,"score_spread":0.28789034753813836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W331281410","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000039165574,0.000014314922,0.1325044,0.0013105934,0.00033752338,0.18934546,0.00811027,0.0003430926,0.66799515],"genre_scores_gemma":[0.0007681829,9.112147e-7,0.00093392737,0.0003760011,0.000538608,0.097635366,0.0019778586,0.00008460033,0.8976845],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939499,0.000054631004,0.0023205439,0.0011618127,0.0019488203,0.0005643072],"domain_scores_gemma":[0.99589276,0.00049577845,0.0016859015,0.0011999775,0.0003893404,0.00033624028],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020548566,0.0005685948,0.0008331803,0.00049103866,0.00022935777,0.0003767675,0.0018506417,0.0010859944,0.0024340628],"category_scores_gemma":[0.00040574645,0.00049924036,0.000514406,0.00016199409,0.00045124747,0.0008200386,0.0004119283,0.0010135514,0.00012506235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011569841,0.00003999913,0.00008028275,0.000013299726,0.000044914155,7.236354e-7,0.000033279386,0.000087610555,0.0002256055,0.1448474,0.80024695,0.054264247],"study_design_scores_gemma":[0.0009392653,0.000102900056,0.000055699762,0.000045656256,0.00004810153,0.0000029926646,0.00000932351,0.0003843694,0.001542842,0.08128816,0.9151421,0.0004385549],"about_ca_topic_score_codex":0.0000062803856,"about_ca_topic_score_gemma":0.0000059301665,"teacher_disagreement_score":0.22968937,"about_ca_system_score_codex":0.00041067114,"about_ca_system_score_gemma":0.0002934584,"threshold_uncertainty_score":0.9997459},"labels":[],"label_agreement":null},{"id":"W38773735","doi":"10.5555/2367656.2367675","title":"Applying a FEDEP VV&A overlay to the MALO project using the REVVA VV&A process","year":2008,"lang":"en","type":"article","venue":"","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":"Professional Engineers Ontario","funders":"","keywords":"Interoperability; Process (computing); Engineering; Engineering management; Computer science; Software; Plan (archaeology); Government (linguistics); Systems engineering; Operations research; World Wide Web","score_opus":0.3818708099308953,"score_gpt":0.5054637433386389,"score_spread":0.12359293340774358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W38773735","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":[0.5025942,0.00009250654,0.43020335,0.011311303,0.0001614491,0.0062953425,0.000017110473,0.00045538947,0.048869416],"genre_scores_gemma":[0.98449177,0.0000058380538,0.0068472982,0.0027633407,0.00014157333,0.0006648437,9.511073e-7,0.000013745399,0.005070646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99778587,0.00009210719,0.00045356006,0.0004101022,0.0010247232,0.00023361127],"domain_scores_gemma":[0.99792355,0.00064933207,0.00015110002,0.0008934986,0.0003275258,0.00005496159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014204205,0.00012770265,0.00015210277,0.00008642105,0.001225089,0.00028753115,0.0010780321,0.000050399405,0.00027289725],"category_scores_gemma":[0.00057286944,0.00005594805,0.00009543794,0.0017968739,0.00008638407,0.00019462052,0.0001652216,0.00013606763,0.00018868403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014014031,0.00045736416,0.041063327,0.000024881756,0.00007434499,0.00001830451,0.02083486,0.035959594,0.0055078943,0.051318467,0.5115083,0.33309257],"study_design_scores_gemma":[0.0001928304,0.000048691716,0.0041126413,0.000021109323,0.000014534069,0.00010276714,0.0047262534,0.07179588,0.0041399766,0.009628463,0.904885,0.0003318599],"about_ca_topic_score_codex":0.0002345411,"about_ca_topic_score_gemma":0.000054611963,"teacher_disagreement_score":0.48189762,"about_ca_system_score_codex":0.000032607353,"about_ca_system_score_gemma":0.00010749223,"threshold_uncertainty_score":0.94225174},"labels":[],"label_agreement":null},{"id":"W4200247249","doi":"10.5750/ijme.v161ia1.1080","title":"INTERNATIONAL DEVELOPMENT AND VALIDATION OF A DISTRIBUTED SIMULATION FOR NAVAL SHIP REPLENISHMENT AT SEA","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Simulation Techniques and Applications","field":"Decision 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":"Payload (computing); Marine engineering; Distributed Interactive Simulation; Software; High-level architecture; Sea trial; Computer science; Simulation software; Modeling and simulation; Synchronization (alternating current); Systems engineering; Simulation; Engineering; Interoperability; Telecommunications","score_opus":0.06658950879498371,"score_gpt":0.36467492271759494,"score_spread":0.29808541392261123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200247249","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":[0.5212603,0.00006588923,0.47528216,0.0025826418,0.0004367749,0.00013489783,0.00007227646,0.000013698035,0.0001513305],"genre_scores_gemma":[0.9807702,0.000010482731,0.018733194,0.00004522881,0.00016949771,0.0000100050165,0.000060333205,0.0000073161136,0.00019376313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806315,0.000026185195,0.00078392547,0.00012966106,0.0009218716,0.00007523489],"domain_scores_gemma":[0.9964688,0.0013751216,0.00042247638,0.00013538226,0.0015566312,0.000041628933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014147728,0.00007628561,0.00013850052,0.00014295134,0.00005724261,0.000118469325,0.00044669714,0.000036117635,0.00014551448],"category_scores_gemma":[0.0018273684,0.000058800193,0.00009449888,0.00013682697,0.000019477076,0.00019254937,0.00016599886,0.00007625365,0.0000020978475],"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":[0.00044666496,0.000184347,0.011700669,0.000017508415,0.00047558948,0.000014772997,0.0008840267,0.88744044,0.023252126,0.008034637,0.00276233,0.0647869],"study_design_scores_gemma":[0.0019037636,0.000054157863,0.025236722,0.0001194488,0.00004346592,0.00017205863,0.00021357361,0.4823844,0.2807303,0.005709723,0.20322135,0.00021103874],"about_ca_topic_score_codex":0.0000016948868,"about_ca_topic_score_gemma":0.0000011277896,"teacher_disagreement_score":0.45950985,"about_ca_system_score_codex":0.00014551454,"about_ca_system_score_gemma":0.00006747966,"threshold_uncertainty_score":0.23978023},"labels":[],"label_agreement":null},{"id":"W4205170423","doi":"10.1016/j.conengprac.2021.105056","title":"Interactive visualization for diagnosis of industrial Model Predictive Controllers with steady-state optimizers","year":2022,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Burnaby Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Visualization; Troubleshooting; Process (computing); Model predictive control; Computer science; Workflow; Control engineering; Controller (irrigation); Constraint (computer-aided design); Advanced process control; Process control; Industrial engineering; Data mining; Control (management); Reliability engineering; Engineering; Machine learning; Artificial intelligence","score_opus":0.06576614398875806,"score_gpt":0.3692771824172523,"score_spread":0.30351103842849425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205170423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002837819,0.000031089476,0.99379486,0.0009464157,0.00012013884,0.0014690964,0.00032260967,0.000098597426,0.0003793632],"genre_scores_gemma":[0.9895778,0.0000057174675,0.007752487,0.0002181365,0.00003785887,0.0022330969,0.000015709964,0.000026740916,0.0001324815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981043,0.00014140994,0.0005428282,0.0003346138,0.00070380635,0.00017309688],"domain_scores_gemma":[0.99037147,0.00792763,0.0006153834,0.00031132041,0.00070467533,0.00006951825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016553851,0.00014022522,0.00032205778,0.0002691728,0.0001674786,0.00007606883,0.0003276996,0.00004255522,0.00004929913],"category_scores_gemma":[0.00553969,0.00012285839,0.00009597326,0.0005720003,0.000030189587,0.00062742864,0.00005976159,0.00021235734,0.0000012466118],"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":[0.0018029402,0.00010366212,0.00017541312,0.0000017442804,0.00010184644,5.846392e-7,0.00048137418,0.99174786,0.000053043794,0.0025120878,0.0009898372,0.0020296008],"study_design_scores_gemma":[0.0037544668,0.00040333715,0.000022770266,0.000008796741,0.00010393577,0.000002909322,0.00095681235,0.9826751,0.00021703799,0.00049142464,0.011234058,0.00012939295],"about_ca_topic_score_codex":0.000019231567,"about_ca_topic_score_gemma":6.836028e-7,"teacher_disagreement_score":0.98673993,"about_ca_system_score_codex":0.00012727619,"about_ca_system_score_gemma":0.00012235824,"threshold_uncertainty_score":0.66319263},"labels":[],"label_agreement":null},{"id":"W4205262943","doi":"10.1007/978-3-030-81915-6_6","title":"Continual Model-Based Analysis","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Core (optical fiber); Software engineering; Management science; Systems engineering; Engineering","score_opus":0.16686454884157703,"score_gpt":0.42312733397283475,"score_spread":0.2562627851312577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205262943","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009359216,0.000033875476,0.46058336,0.00034169352,0.000013397755,0.000086164946,0.000054835233,0.00007460109,0.5388027],"genre_scores_gemma":[0.033060566,0.000006049299,0.01580705,0.00081124215,0.00004217963,0.000013888474,0.00012366747,0.000017104841,0.95011824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99746287,0.000015270176,0.0006915512,0.00063887605,0.0010792947,0.000112146474],"domain_scores_gemma":[0.99700135,0.00057672604,0.00029121654,0.0012364915,0.0008005064,0.00009368641],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059127447,0.00018658777,0.00051656965,0.0006214515,0.0000884613,0.00022219714,0.00053565175,0.00025478486,0.023534108],"category_scores_gemma":[0.00013189898,0.0001435052,0.0006874174,0.00039186154,0.00006460181,0.00004940536,0.00009098725,0.00015383825,0.00046847234],"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":[0.0000024884177,0.000013632994,0.000053730742,7.464241e-7,0.00013173214,0.0000023340078,0.000008706375,0.03463187,0.0000071719837,0.9084184,0.037089158,0.019639986],"study_design_scores_gemma":[0.000058168393,0.0000054075012,0.000020495638,0.0000040137807,0.00023005853,1.6781856e-7,0.0000069477082,0.40899247,0.00008148239,0.17315228,0.41726258,0.00018591924],"about_ca_topic_score_codex":0.000006933095,"about_ca_topic_score_gemma":0.000058402202,"teacher_disagreement_score":0.73526615,"about_ca_system_score_codex":0.000028470058,"about_ca_system_score_gemma":0.00013678685,"threshold_uncertainty_score":0.9773585},"labels":[],"label_agreement":null},{"id":"W4205939857","doi":"10.1016/j.pan.2021.05.139","title":"iCyst: 1 year, 1000 and more simulations through an app","year":2021,"lang":"en","type":"article","venue":"Pancreatology","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Medicine","score_opus":0.11173854549164719,"score_gpt":0.44908474121817404,"score_spread":0.33734619572652685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205939857","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":[0.9282851,0.0002612027,0.043874808,0.0045181583,0.00009927678,0.00018815667,0.000063940155,0.00019521943,0.022514116],"genre_scores_gemma":[0.9856494,0.00003673074,0.011964299,0.000627244,0.000051151557,0.00001875929,0.000035458863,0.00000901754,0.0016079172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987396,0.000119582386,0.0003148257,0.00043006224,0.00024063216,0.00015529945],"domain_scores_gemma":[0.9982225,0.0007352117,0.00007940407,0.0006286737,0.000257938,0.00007630493],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020842213,0.00008705827,0.00021941405,0.00006598965,0.00017912893,0.00008434026,0.00019044243,0.00010312239,0.0012165447],"category_scores_gemma":[0.0003859176,0.000074233896,0.000040727333,0.0004897164,0.0001253121,0.000246262,0.00008932339,0.000080914404,0.00013302227],"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":[0.000021533599,0.00019271513,0.17481486,0.0000047713925,0.000031567222,0.000030560255,0.0021417125,0.0009276131,0.0033872107,0.77472603,0.009588215,0.034133226],"study_design_scores_gemma":[0.0006971608,0.00006488481,0.07759338,0.0000070537744,0.000048355167,0.00018245027,0.0020983499,0.013473408,0.007992115,0.37276587,0.52472615,0.0003508492],"about_ca_topic_score_codex":0.00004060717,"about_ca_topic_score_gemma":0.00004779952,"teacher_disagreement_score":0.5151379,"about_ca_system_score_codex":0.0000090718995,"about_ca_system_score_gemma":0.000053285406,"threshold_uncertainty_score":0.9996965},"labels":[],"label_agreement":null},{"id":"W4206177129","doi":"10.1002/047147326x.ch5","title":"Model Selection and Validation","year":2003,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Model selection; Weibull distribution; Goodness of fit; Selection (genetic algorithm); Computer science; Set (abstract data type); Model validation; Data mining; Focus (optics); Data set; Machine learning; Artificial intelligence; Statistics; Mathematics","score_opus":0.08871937579510207,"score_gpt":0.3700308270345239,"score_spread":0.2813114512394218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206177129","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":[0.00068454247,0.00035547273,0.918154,0.00021650703,0.00009817099,0.0010122239,0.00087945047,0.00014156665,0.07845806],"genre_scores_gemma":[0.00726877,0.0014712451,0.72933435,0.00010736935,0.000044611854,0.00014961998,0.000106950945,0.00010576586,0.26141128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99862003,0.00011430808,0.00040898143,0.00044287188,0.000298833,0.000114968716],"domain_scores_gemma":[0.99914885,0.00023939443,0.00018299624,0.00027512186,0.00010350428,0.000050108603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007374056,0.00014379936,0.0002393929,0.00016754042,0.00007826654,0.00012706197,0.00010140051,0.00019618394,0.00043332635],"category_scores_gemma":[0.00085278903,0.00012800294,0.000013674459,0.00027623697,0.00017764025,0.00010165026,0.000046360623,0.00013263903,0.0000065056192],"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":[0.000020572876,0.00008023429,0.007873415,0.00009440777,0.000008380221,5.328174e-7,0.00026997997,0.0011209075,0.00001059365,0.66648555,0.26466855,0.05936686],"study_design_scores_gemma":[0.00009319497,0.000031364318,0.0002547504,0.000032599226,0.00000778985,0.0000031869608,0.000027228798,0.03272684,0.000014623088,0.8078014,0.15885927,0.00014773752],"about_ca_topic_score_codex":0.000054080563,"about_ca_topic_score_gemma":0.0006782435,"teacher_disagreement_score":0.18881963,"about_ca_system_score_codex":0.000029021741,"about_ca_system_score_gemma":0.000054246797,"threshold_uncertainty_score":0.5219809},"labels":[],"label_agreement":null},{"id":"W4206881773","doi":"","title":"Conditional expectations and the approximation of labeled Markov processes","year":2003,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval","funders":"","keywords":"Computer science; Markov process; Markov chain; Artificial intelligence; Econometrics; Mathematics; Machine learning; Statistics","score_opus":0.02815382561058234,"score_gpt":0.29572017792055444,"score_spread":0.2675663523099721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206881773","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":[0.14475773,0.00067682954,0.7572778,0.011817095,0.00003276139,0.00073345384,0.000049695616,0.00011834078,0.08453632],"genre_scores_gemma":[0.95852196,0.000048566904,0.037895843,0.000070644055,0.000004443745,0.00012341078,0.00004699699,0.000009162194,0.003278961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957458,0.0026384883,0.00057002506,0.0003296373,0.0005890353,0.0001270097],"domain_scores_gemma":[0.9872538,0.008174188,0.00044935427,0.0008206589,0.0032356926,0.0000663082],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006592846,0.00010939471,0.00019239816,0.00014464761,0.00041643094,0.00021055335,0.00048652058,0.000059172387,0.00026988363],"category_scores_gemma":[0.012513832,0.00007873719,0.000069008456,0.0010196534,0.0004970331,0.00022309329,0.00008519529,0.00010089445,0.000019987274],"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":[0.000007728284,0.00012520363,0.0011556271,0.000010873521,0.000010530415,7.482486e-8,0.0037579872,0.00001553753,0.0005941152,0.98539335,0.0006956662,0.008233337],"study_design_scores_gemma":[0.0029772152,0.0000010514767,0.008187629,0.00019081219,0.000051796826,0.000023718716,0.004192498,0.026084857,0.16579068,0.7637257,0.028374722,0.00039933738],"about_ca_topic_score_codex":0.00004606487,"about_ca_topic_score_gemma":0.00010791253,"teacher_disagreement_score":0.8137642,"about_ca_system_score_codex":0.000015558802,"about_ca_system_score_gemma":0.00013250655,"threshold_uncertainty_score":0.9958042},"labels":[],"label_agreement":null},{"id":"W4207043342","doi":"10.36227/techrxiv.18551255","title":"A Comprehensive Study of Declarative Behavioural Modelling Languages","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Modularity (biology); Programming language; Set (abstract data type); Declarative programming; Structuring; Artificial intelligence; Programming paradigm","score_opus":0.4645171410547641,"score_gpt":0.5124541676854866,"score_spread":0.04793702663072247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207043342","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":[0.871487,0.000083204824,0.122337915,0.000086433734,0.000066101034,0.0011369516,0.00008236945,0.00009730707,0.004622706],"genre_scores_gemma":[0.98926663,0.000005555847,0.008447353,0.000046863708,0.000017026669,0.00028225404,0.000029933459,0.000012262729,0.001892099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970069,0.0002411129,0.0008162685,0.0005926764,0.0012309079,0.00011211735],"domain_scores_gemma":[0.9970309,0.00074291986,0.0005104901,0.0010719822,0.0005967169,0.000046952882],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042502055,0.00016921881,0.00043696145,0.00030837872,0.00015136464,0.00009949557,0.0009910133,0.000088668276,0.0022811566],"category_scores_gemma":[0.000055833403,0.00013221521,0.00015550885,0.00043433876,0.0000437467,0.000056712805,0.0015200971,0.0004083946,0.000013347878],"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":[0.000021862757,0.00088207365,0.021943478,0.000006179528,0.000052999494,0.000005553431,0.009174022,0.95875686,0.00006548997,0.0034757357,0.0014676712,0.004148075],"study_design_scores_gemma":[0.0010749886,0.00068631914,0.048931673,0.000027326485,0.0001607908,0.0000035482003,0.26595896,0.58791333,0.0008995216,0.086234525,0.007177334,0.000931683],"about_ca_topic_score_codex":0.001430669,"about_ca_topic_score_gemma":0.00006612233,"teacher_disagreement_score":0.37084353,"about_ca_system_score_codex":0.000039515453,"about_ca_system_score_gemma":0.00006138976,"threshold_uncertainty_score":0.9986309},"labels":[],"label_agreement":null},{"id":"W4207069628","doi":"10.36227/techrxiv.18551255.v1","title":"A Comprehensive Study of Declarative Behavioural Modelling Languages","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Modularity (biology); Programming language; Set (abstract data type); Declarative programming; Structuring; Artificial intelligence; Natural language processing; Programming paradigm","score_opus":0.4645171410547641,"score_gpt":0.5124541676854866,"score_spread":0.04793702663072247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207069628","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":[0.871487,0.000083204824,0.122337915,0.000086433734,0.000066101034,0.0011369516,0.00008236945,0.00009730707,0.004622706],"genre_scores_gemma":[0.98926663,0.000005555847,0.008447353,0.000046863708,0.000017026669,0.00028225404,0.000029933459,0.000012262729,0.001892099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970069,0.0002411129,0.0008162685,0.0005926764,0.0012309079,0.00011211735],"domain_scores_gemma":[0.9970309,0.00074291986,0.0005104901,0.0010719822,0.0005967169,0.000046952882],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042502055,0.00016921881,0.00043696145,0.00030837872,0.00015136464,0.00009949557,0.0009910133,0.000088668276,0.0022811566],"category_scores_gemma":[0.000055833403,0.00013221521,0.00015550885,0.00043433876,0.0000437467,0.000056712805,0.0015200971,0.0004083946,0.000013347878],"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":[0.000021862757,0.00088207365,0.021943478,0.000006179528,0.000052999494,0.000005553431,0.009174022,0.95875686,0.00006548997,0.0034757357,0.0014676712,0.004148075],"study_design_scores_gemma":[0.0010749886,0.00068631914,0.048931673,0.000027326485,0.0001607908,0.0000035482003,0.26595896,0.58791333,0.0008995216,0.086234525,0.007177334,0.000931683],"about_ca_topic_score_codex":0.001430669,"about_ca_topic_score_gemma":0.00006612233,"teacher_disagreement_score":0.37084353,"about_ca_system_score_codex":0.000039515453,"about_ca_system_score_gemma":0.00006138976,"threshold_uncertainty_score":0.9986309},"labels":[],"label_agreement":null},{"id":"W4210725740","doi":"10.1186/s41077-021-00189-7","title":"Selected abstracts from the 2021 simulation summit","year":2021,"lang":"en","type":"article","venue":"Advances in Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; University of British Columbia; McGill University","funders":"","keywords":"Summit; Medicine; Health services research; Public health; Nursing; Geography","score_opus":0.07018805924035525,"score_gpt":0.4368760915799164,"score_spread":0.36668803233956115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210725740","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":[0.6613943,0.0025292179,0.3261664,0.001601047,0.00041971437,0.0006491561,0.000065371045,0.00014788922,0.007026911],"genre_scores_gemma":[0.9961864,0.00009455254,0.0026532835,0.0002914634,0.00021240751,0.000025212119,0.00012740742,0.000013263359,0.000396022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973019,0.00023104872,0.0008643067,0.0005458029,0.00085430976,0.00020265873],"domain_scores_gemma":[0.9890546,0.008924841,0.00032564922,0.0007672814,0.00087690906,0.000050715953],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007960958,0.00014265224,0.00020161613,0.00010024312,0.00021433695,0.0002160576,0.00038168218,0.00010883783,0.0010315375],"category_scores_gemma":[0.004810295,0.00010692802,0.00007292898,0.0023197557,0.000054365446,0.0009875552,0.00007472848,0.00019063894,0.00023379341],"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":[0.0000116854835,0.000034997996,0.032604393,4.890505e-7,0.000002406959,0.0000017662837,0.00012228217,0.866429,0.000198081,0.00062087417,0.000096538584,0.09987751],"study_design_scores_gemma":[0.00030581196,0.000008790532,0.15187185,0.000016356089,0.000006873222,1.9869385e-7,0.00023891302,0.6214476,0.0014243386,0.08007562,0.14445898,0.00014464077],"about_ca_topic_score_codex":0.000043144562,"about_ca_topic_score_gemma":0.00058615353,"teacher_disagreement_score":0.33479208,"about_ca_system_score_codex":0.00006871787,"about_ca_system_score_gemma":0.000075554395,"threshold_uncertainty_score":0.9998816},"labels":[],"label_agreement":null},{"id":"W4221103484","doi":"10.29173/cais1292","title":"Software and procedural tools for productivity enhancement in specialized data entry applications","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Productivity; Computer science; Software; Software engineering; Data science; Programming language","score_opus":0.1278056898744428,"score_gpt":0.36753728271433245,"score_spread":0.23973159283988965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221103484","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":[0.98195595,0.000102709106,0.005039406,0.007035079,0.00006686916,0.0029315716,0.0013585951,0.000047711383,0.0014620989],"genre_scores_gemma":[0.99294555,0.000027176202,0.005155786,0.00016789524,0.00006701608,0.0009838622,0.000028762901,0.0000114679415,0.0006125054],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977635,0.000029024859,0.0006754758,0.00058322883,0.00071563805,0.00023311649],"domain_scores_gemma":[0.98075354,0.0007582738,0.0009832388,0.0006296847,0.016797187,0.000078080935],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002023856,0.00015087015,0.0003529936,0.00017557407,0.00028014445,0.0014520305,0.002572055,0.000050872157,0.00006448998],"category_scores_gemma":[0.027595067,0.000119627606,0.000070702925,0.00081091706,0.00023211949,0.00542559,0.0016963887,0.00017444906,7.298187e-7],"study_design_candidate":"not_applicable","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":[0.0008734576,0.0016505762,0.24918617,0.00053781754,0.00010349061,3.4150008e-7,0.02727294,0.00008078078,0.040418554,0.1021255,0.060038753,0.51771164],"study_design_scores_gemma":[0.00088303414,0.00021200927,0.060230274,0.00005311885,0.00004539632,0.00001124893,0.0046145753,0.0014995837,0.02367201,0.09006101,0.8183978,0.0003199171],"about_ca_topic_score_codex":0.000038608217,"about_ca_topic_score_gemma":0.0000119092365,"teacher_disagreement_score":0.7583591,"about_ca_system_score_codex":0.000055824923,"about_ca_system_score_gemma":0.0002421287,"threshold_uncertainty_score":0.99958456},"labels":[],"label_agreement":null},{"id":"W4226291734","doi":"10.2139/ssrn.4038514","title":"Risk Budgeting Portfolios from Simulations","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Actuarial science; Business; Economics; Econometrics; Accounting","score_opus":0.035115722740736745,"score_gpt":0.3588971342322625,"score_spread":0.32378141149152573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226291734","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":[0.78898835,0.0007097279,0.20549585,0.0016889642,0.00020650061,0.00022131858,0.00012668103,0.00011659574,0.002446019],"genre_scores_gemma":[0.996232,0.00014084381,0.00068038877,0.00018842847,0.0002350725,0.000017827871,0.000016896753,0.000016576001,0.0024720212],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996556,0.0003210188,0.000652406,0.0003182428,0.0011644809,0.0009878972],"domain_scores_gemma":[0.9978374,0.0008801111,0.0005690608,0.0004350677,0.00019411767,0.00008423225],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004839996,0.00010817141,0.00016201612,0.00027731986,0.0019199031,0.00017614583,0.0008281092,0.00003410282,0.0026022012],"category_scores_gemma":[0.00077843404,0.00009432344,0.00016397951,0.00093111215,0.000030082103,0.00020705335,0.0001846316,0.0018207862,0.000089937996],"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":[0.00006579519,0.0002810142,0.124720745,2.5810718e-7,0.00016479431,0.000004981388,0.0007758575,0.15692267,0.0011154248,0.34606296,0.0069948374,0.36289066],"study_design_scores_gemma":[0.00024108255,0.000067870846,0.0036121882,6.9487226e-7,0.000018528775,0.000039884468,0.002385922,0.016290987,0.000045314882,0.9145909,0.06258921,0.000117422984],"about_ca_topic_score_codex":0.00020556049,"about_ca_topic_score_gemma":0.00017562631,"teacher_disagreement_score":0.56852794,"about_ca_system_score_codex":0.00054495496,"about_ca_system_score_gemma":0.0008404261,"threshold_uncertainty_score":0.99937946},"labels":[],"label_agreement":null},{"id":"W4226326700","doi":"10.22215/etd/2022-14851","title":"Formalization of Cyber-Physical System Interface using Discrete Event System Specifications","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cyber-physical system; Interface (matter); DEVS; Computer science; Bridge (graph theory); Field (mathematics); Event (particle physics); Architecture; Function (biology); Distributed computing; Physical system; User interface; Embedded system; Modeling and simulation; Simulation; Programming language; Operating system","score_opus":0.13694075594357394,"score_gpt":0.45469383587749984,"score_spread":0.3177530799339259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226326700","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":[0.21991883,0.00015966233,0.6786449,0.000058581514,0.0010789266,0.00225588,0.00041268734,0.0005543244,0.096916184],"genre_scores_gemma":[0.98637766,0.00000379465,0.0017963569,0.000003895793,0.00010870925,0.00020958055,0.00064762676,0.000043858097,0.010808541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955576,0.0002085397,0.0016183206,0.00067240925,0.001739597,0.00020355127],"domain_scores_gemma":[0.9959799,0.00041421325,0.0015359408,0.0011945515,0.0007852013,0.00009015889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009932994,0.00027596432,0.00060601387,0.00055427104,0.00040998048,0.000157753,0.0009814358,0.00015512462,0.0005813386],"category_scores_gemma":[0.00013818637,0.00022880861,0.00035865625,0.0014824669,0.000035398116,0.0002700641,0.00012135953,0.0002213912,0.00007414428],"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":[0.0000912065,0.00023280771,0.00027152058,0.0004993877,0.000094661664,0.0000014543242,0.0038431417,0.04440948,0.006448263,0.9345623,0.0030516984,0.0064940713],"study_design_scores_gemma":[0.00037882233,0.00012727978,0.0017513384,0.0005680219,0.00028088666,0.000018856852,0.122852325,0.8172539,0.028600002,0.003096916,0.024224149,0.00084752566],"about_ca_topic_score_codex":0.00018236323,"about_ca_topic_score_gemma":0.00003643749,"teacher_disagreement_score":0.9314654,"about_ca_system_score_codex":0.000465321,"about_ca_system_score_gemma":0.00015842346,"threshold_uncertainty_score":0.9330544},"labels":[],"label_agreement":null},{"id":"W4229965404","doi":"10.1007/978-1-4939-7131-2_101075","title":"Simulation Modeling","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.3380085750516149,"score_gpt":0.46455571804209234,"score_spread":0.12654714299047742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229965404","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017163255,0.000013347054,0.4469279,0.0000907556,0.00004632376,0.00014113904,0.00000774276,0.00012362331,0.552632],"genre_scores_gemma":[0.116974846,0.0000049548803,0.0051975395,0.0002482461,0.00029820533,0.000005659588,0.000016831142,0.000026259497,0.8772275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780065,0.000008350559,0.0006620029,0.00049023214,0.0009362947,0.000102471386],"domain_scores_gemma":[0.99736613,0.0006766199,0.0002181667,0.00086760137,0.0008049519,0.00006652281],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00065602135,0.00016572147,0.00022422,0.0002689712,0.00012792177,0.00016686191,0.0004700086,0.00026621675,0.032251794],"category_scores_gemma":[0.0002890559,0.00012501702,0.00015817196,0.00006785311,0.00004823007,0.00012170123,0.00010987841,0.000119988654,0.007179247],"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":[0.000004400675,0.000005809966,0.0000029200019,0.0000010127259,0.000008847078,3.781688e-7,0.000050559884,0.30263832,0.0000032502958,0.6355811,0.022200745,0.03950267],"study_design_scores_gemma":[0.000014670511,0.000005392703,2.3574985e-7,0.000004060811,0.0000032429764,1.0735467e-7,0.0000029412467,0.38513717,0.0000027828444,0.3540531,0.26071018,0.00006611294],"about_ca_topic_score_codex":0.0000034962984,"about_ca_topic_score_gemma":0.000005289295,"teacher_disagreement_score":0.44173035,"about_ca_system_score_codex":0.000031632942,"about_ca_system_score_gemma":0.000034975717,"threshold_uncertainty_score":0.99359375},"labels":[],"label_agreement":null},{"id":"W4230272890","doi":"10.22215/etd/2007-08516","title":"RTI for support for real-time simulation","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Humanities; Computer science; Art","score_opus":0.15190791901300824,"score_gpt":0.5405482112784147,"score_spread":0.3886402922654064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230272890","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007345249,0.000010750937,0.8084419,0.0001703681,0.00044107618,0.004812043,0.00034274108,0.00045135155,0.17798452],"genre_scores_gemma":[0.10599742,0.000009404005,0.08001421,0.00025491332,0.00047704548,0.0011036093,0.0076070772,0.00009235872,0.80444396],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970861,0.000018182753,0.0011516345,0.0006766141,0.00078926503,0.00027818902],"domain_scores_gemma":[0.9923588,0.0045663044,0.00060183724,0.00064885494,0.0017239195,0.00010028098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002175962,0.00023081637,0.00039709997,0.00047998174,0.00026000268,0.00020350421,0.00052000815,0.00043822997,0.0022915474],"category_scores_gemma":[0.0014770421,0.00019009462,0.00038435613,0.00047672028,0.000017979015,0.0001758138,0.000014241801,0.0000747818,0.00034008521],"study_design_candidate":"not_applicable","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":[0.00083464157,0.00024303255,0.00013536957,0.00009395131,0.00006375202,4.2489972e-7,0.0006153277,0.010094029,0.0053966027,0.07834522,0.3965196,0.50765806],"study_design_scores_gemma":[0.0005680083,0.00019872586,0.0012742573,0.00001622647,0.00006899159,3.1660574e-7,0.00039730084,0.18225512,0.008083062,0.15499449,0.65166765,0.00047581637],"about_ca_topic_score_codex":0.000018377388,"about_ca_topic_score_gemma":0.000051394727,"teacher_disagreement_score":0.7284277,"about_ca_system_score_codex":0.000053688495,"about_ca_system_score_gemma":0.00013928457,"threshold_uncertainty_score":0.9986205},"labels":[],"label_agreement":null},{"id":"W4230760739","doi":"10.2172/1341571","title":"Demonstration of Load-Follow Simulation with VERA-CS and Standalone BISON","year":2017,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coupling (piping); Core (optical fiber); Computer science; Environmental science; Simulation; Engineering; Telecommunications; Geography; Mechanical engineering; Archaeology","score_opus":0.2445497792070571,"score_gpt":0.4796646954290903,"score_spread":0.2351149162220332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230760739","genre_codex":"other","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":[0.04122212,0.00056607195,0.4286912,0.00052975334,0.00025853355,0.0016690369,0.00020934716,0.00020847311,0.5266455],"genre_scores_gemma":[0.9637687,0.00020805743,0.0043224334,0.000013345172,0.000090045076,0.000022954397,0.000042771688,0.000019926172,0.031511728],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954769,0.000048928574,0.0008742737,0.0005606808,0.0029021234,0.00013709233],"domain_scores_gemma":[0.99367464,0.00072418526,0.0013511507,0.0010968469,0.003068654,0.00008449862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002359887,0.00021709567,0.0005214624,0.00025713388,0.00020027095,0.00030112892,0.00037448964,0.00030077872,0.00021792347],"category_scores_gemma":[0.0012074044,0.0001453208,0.00009288279,0.00027824473,0.00017734154,0.0003342554,0.00007216527,0.00015944125,0.000012057198],"study_design_candidate":"not_applicable","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":[0.00033035802,0.00029179524,0.098935515,0.00016003787,0.00019888199,0.0000105691315,0.00038189866,0.017722303,0.0008536674,0.006186365,0.085762195,0.7891664],"study_design_scores_gemma":[0.00144519,0.00059786404,0.060601242,0.0003830961,0.0002445209,0.00003302232,0.00022256906,0.055291235,0.0035461949,0.020884449,0.8557526,0.0009980296],"about_ca_topic_score_codex":0.00040485704,"about_ca_topic_score_gemma":0.00032577175,"teacher_disagreement_score":0.9225466,"about_ca_system_score_codex":0.000116443094,"about_ca_system_score_gemma":0.0012431444,"threshold_uncertainty_score":0.592601},"labels":[],"label_agreement":null},{"id":"W4230892018","doi":"10.1109/wsc.2013.6721618","title":"An alternative approach to modeling a pre-surgical screening clinic","year":2013,"lang":"en","type":"article","venue":"2013 Winter Simulations 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":"Jewish General Hospital; Polytechnique Montréal","funders":"","keywords":"Computer science; Object (grammar); Queue; Object model; State (computer science); Chart; Moment (physics); Object-oriented programming; Distributed computing; Programming language; Artificial intelligence","score_opus":0.264891848938992,"score_gpt":0.4552107719316058,"score_spread":0.19031892299261383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230892018","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":[0.23166282,0.000007272364,0.7563024,0.000814179,0.000076736505,0.0009882334,0.000030370578,0.0001950598,0.009922883],"genre_scores_gemma":[0.9484247,0.0000020827629,0.048046038,0.00050890446,0.00019061442,0.00027777528,0.000045602832,0.000028474316,0.002475812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962897,0.00020196526,0.0011435869,0.001006644,0.0009489154,0.0004091961],"domain_scores_gemma":[0.9958591,0.0006263611,0.00023975623,0.0013685562,0.0015187489,0.00038748558],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008127413,0.00028537898,0.0003916634,0.0004960606,0.00034702246,0.0010134337,0.0014217751,0.00015722685,0.0041476227],"category_scores_gemma":[0.00030330304,0.00023279995,0.0001692715,0.0008569956,0.000092933704,0.0014108069,0.0002568818,0.00029263814,0.0018718675],"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":[0.000031383697,0.0003087078,0.0036792846,0.000002109637,0.00002487263,6.203511e-7,0.0020845286,0.9264699,0.0001793611,0.007454379,0.0030625009,0.05670233],"study_design_scores_gemma":[0.00033465223,0.0000823121,0.0024010658,0.000020720967,0.00001003155,0.0000030397073,0.00050132617,0.96227634,0.000059762413,0.025057435,0.008958216,0.000295108],"about_ca_topic_score_codex":0.00041278702,"about_ca_topic_score_gemma":0.000030370835,"teacher_disagreement_score":0.7167619,"about_ca_system_score_codex":0.00003965152,"about_ca_system_score_gemma":0.00006653473,"threshold_uncertainty_score":0.9989053},"labels":[],"label_agreement":null},{"id":"W4230993601","doi":"10.1109/pads.1995.404319","title":"Memory management techniques for time warp on a distributed memory machine","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":13,"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 Waterloo","funders":"","keywords":"Rollback; Computer science; Distributed memory; Parallel computing; Memory management; Distributed shared memory; Shared memory; Memory map; Synchronization (alternating current); Computer memory; Flat memory model; Distributed computing; Semiconductor memory; Operating system","score_opus":0.08338799329749765,"score_gpt":0.37624173206195743,"score_spread":0.2928537387644598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230993601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014647203,0.00004551743,0.64341915,0.006957361,0.00005759025,0.002252646,0.00025072746,0.0012104226,0.34434187],"genre_scores_gemma":[0.6271258,0.00003482371,0.11162418,0.003205477,0.00014370553,0.0011950303,0.0001237774,0.000042172454,0.256505],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998253,0.000037043887,0.00046955107,0.00044949522,0.0005919031,0.00019900504],"domain_scores_gemma":[0.99832106,0.00053001405,0.00012147662,0.0007898541,0.00015514978,0.00008247507],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008021831,0.00014128641,0.00019122807,0.00022530007,0.00018873267,0.00011722063,0.0005710482,0.0000671552,0.0057783024],"category_scores_gemma":[0.00015349338,0.00009978717,0.00013798919,0.00053586316,0.00004518108,0.000111553796,0.00009909597,0.00006617541,0.0012059978],"study_design_candidate":"not_applicable","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":[0.000013931447,0.00016742465,0.000010680914,0.0000032258595,0.000011195732,0.0000013046136,0.000024402834,0.000071664304,0.0001850332,0.012074049,0.46756145,0.51987565],"study_design_scores_gemma":[0.0004425361,0.00016979255,0.00026474343,0.000013652461,0.000019941011,0.0000028118461,0.000079728525,0.09565113,0.02782487,0.056628115,0.8185989,0.00030377402],"about_ca_topic_score_codex":0.000006712645,"about_ca_topic_score_gemma":0.0000015836266,"teacher_disagreement_score":0.6256611,"about_ca_system_score_codex":0.000043546337,"about_ca_system_score_gemma":0.000003036238,"threshold_uncertainty_score":0.9995717},"labels":[],"label_agreement":null},{"id":"W4231303130","doi":"10.1017/cbo9780511803642.006","title":"Simulation","year":2007,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science","score_opus":0.1746820828654127,"score_gpt":0.35491609498389126,"score_spread":0.18023401211847856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231303130","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030846346,0.000025696443,0.092504725,0.00001691941,0.00009791574,0.00039355084,0.00013335935,0.00021188572,0.9065851],"genre_scores_gemma":[0.011926748,0.00000831992,0.0006262138,0.00010584614,0.00013562638,4.3029453e-7,0.000032359418,0.00002944271,0.987135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780816,0.000029662417,0.00042110746,0.0006227209,0.0009210243,0.00019733972],"domain_scores_gemma":[0.9966671,0.0010809293,0.00042751306,0.001008893,0.0006544262,0.00016117979],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005660382,0.00025392242,0.00032513594,0.00047588642,0.00024451799,0.000109725384,0.00085474725,0.00041870624,0.00005985644],"category_scores_gemma":[0.0001206798,0.00026371266,0.00026291088,0.00003115151,0.00017145502,0.000116953735,0.0002976406,0.0003173124,0.00017767641],"study_design_candidate":"not_applicable","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":[0.000023001183,0.000004668322,0.0000025759105,0.0000027754604,0.000015645966,0.000020247297,0.000012128689,0.0008252934,0.000005763656,0.9559388,0.025250264,0.017898835],"study_design_scores_gemma":[0.00016930906,0.00001744186,0.000026216743,0.000020866522,0.00004248118,0.0000014080538,0.00001427172,0.006313954,0.000087450106,0.0006466492,0.9923866,0.00027336524],"about_ca_topic_score_codex":0.000028840042,"about_ca_topic_score_gemma":0.0000013565059,"teacher_disagreement_score":0.9671363,"about_ca_system_score_codex":0.00014296256,"about_ca_system_score_gemma":0.000062565436,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null},{"id":"W4231415808","doi":"10.1017/9781108989817.038","title":"Multi-Player Ecosystem Architecture Technologies","year":2021,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Architecture; Computer science; Ecosystem; World Wide Web; Telecommunications; Environmental resource management; Environmental science; Geography; Ecology; Biology","score_opus":0.09022176981126309,"score_gpt":0.2985208155450332,"score_spread":0.2082990457337701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231415808","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009661949,0.00020857004,0.04084092,0.00013601924,0.00013897549,0.00058940315,0.0006989325,0.0007794787,0.9565111],"genre_scores_gemma":[0.006029441,0.00005070125,0.0037811769,0.00004508161,0.000053283846,0.000003387722,0.000043658616,0.000037611586,0.98995566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975299,0.0000594318,0.00044278835,0.0009685962,0.00074472505,0.00025454458],"domain_scores_gemma":[0.9967605,0.00041450348,0.00045141834,0.0016964328,0.0005716896,0.000105479776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031110272,0.00037386062,0.0005546442,0.0004900802,0.00030669186,0.0001926653,0.0015820443,0.0006749488,0.00003377465],"category_scores_gemma":[0.00013208059,0.00035377408,0.00037890486,0.00004874269,0.00019142468,0.00007656021,0.0009209397,0.0006240124,0.00008299907],"study_design_candidate":"not_applicable","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":[0.000014464162,0.000012244151,0.000004149365,0.000017519144,0.00005857892,0.00012291044,0.000026710442,0.000049416736,0.00016807397,0.9354804,0.043796863,0.020248644],"study_design_scores_gemma":[0.00024060614,0.000016012098,0.000009443603,0.000088702145,0.000055319226,0.000021752981,0.00018526797,0.0004175002,0.0012351035,0.00023245448,0.99712044,0.00037741856],"about_ca_topic_score_codex":0.000020536807,"about_ca_topic_score_gemma":0.000011493032,"teacher_disagreement_score":0.95332354,"about_ca_system_score_codex":0.00014473357,"about_ca_system_score_gemma":0.00011945171,"threshold_uncertainty_score":0.9998914},"labels":[],"label_agreement":null},{"id":"W4231519242","doi":"10.1007/978-1-84628-622-3_1","title":"Introduction","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Key (lock); Computer science; Context (archaeology); Management science; Systems engineering; Operations research; Engineering; Geography; Archaeology; Computer security","score_opus":0.23194222217365904,"score_gpt":0.4469863296831798,"score_spread":0.21504410750952077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231519242","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012520455,0.000028246717,0.097485155,0.002129435,0.00017338601,0.00014929796,0.000005501052,0.0001521697,0.8998756],"genre_scores_gemma":[0.00041038697,0.000015745618,0.0048298,0.00034679653,0.0013645306,0.0000034030372,0.000016728642,0.000015899479,0.9929967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981557,0.0000044066824,0.00051130465,0.00042479538,0.0008184619,0.00008530384],"domain_scores_gemma":[0.99833757,0.00025434475,0.00020283143,0.0007832767,0.00036699325,0.000055014476],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010119326,0.000119037155,0.00017077923,0.00033788694,0.00007119233,0.00008989631,0.0003361295,0.00021535742,0.04955835],"category_scores_gemma":[0.00014594349,0.00008733467,0.00011976935,0.000081513346,0.000054211196,0.0000678415,0.00006082033,0.00015719056,0.008534048],"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":[8.797583e-7,0.0000015118426,0.0000011103199,1.4924201e-7,0.0000015506794,1.8824313e-7,0.0000022359527,0.0000033015442,0.0000033800193,0.6004503,0.29046628,0.10906917],"study_design_scores_gemma":[0.000012951457,0.0000057057346,0.000010556143,0.0000010168558,0.0000027708877,0.000001741238,0.000002570429,0.000045780056,0.000061967214,0.38445553,0.6153349,0.000064484164],"about_ca_topic_score_codex":0.0000027870706,"about_ca_topic_score_gemma":0.000007449879,"teacher_disagreement_score":0.32486865,"about_ca_system_score_codex":0.000032735705,"about_ca_system_score_gemma":0.000020463229,"threshold_uncertainty_score":0.9922379},"labels":[],"label_agreement":null},{"id":"W4231915868","doi":"10.1109/pads.2002.1004196","title":"Addressing blocking and scalability in critical channel traversing","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Traverse; Blocking (statistics); Computer science; Scalability; Channel (broadcasting); Computer network; Geology; Database","score_opus":0.42019543273718823,"score_gpt":0.5361030735365852,"score_spread":0.11590764079939692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231915868","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":[0.8843384,0.00006250289,0.088298514,0.010161952,0.000026093134,0.00015221107,0.0000020907462,0.00008879966,0.016869478],"genre_scores_gemma":[0.9878881,0.0000012319988,0.011612468,0.0003091943,0.000038808357,0.0000046591563,2.206258e-7,0.0000026545993,0.00014266299],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899685,0.000044301065,0.0002926642,0.00026067684,0.0002814662,0.00012401826],"domain_scores_gemma":[0.9986762,0.0009689496,0.000024006644,0.00019416044,0.000076990276,0.00005968487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011057178,0.000049416336,0.000096333366,0.00012258567,0.0001150808,0.00014466341,0.000118461154,0.000043662036,0.00031471683],"category_scores_gemma":[0.00095063634,0.000039116723,0.000022381966,0.00033294226,0.00009403423,0.00023382544,0.00005099766,0.000072187664,0.000019551893],"study_design_candidate":"design_other","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":[0.000015912734,0.00022118684,0.04441813,0.000006715876,0.0000018150499,0.0000017529042,0.0017090805,0.0016245204,0.001766401,0.05625079,0.0015752817,0.89240843],"study_design_scores_gemma":[0.0004014527,0.000023198838,0.15364125,0.000044811288,0.000004509935,0.0000110870105,0.0016610147,0.62366337,0.0073405835,0.2015295,0.011420159,0.00025905523],"about_ca_topic_score_codex":0.000021761021,"about_ca_topic_score_gemma":0.00004176933,"teacher_disagreement_score":0.8921493,"about_ca_system_score_codex":0.000024054052,"about_ca_system_score_gemma":0.000011398873,"threshold_uncertainty_score":0.34459287},"labels":[],"label_agreement":null},{"id":"W4232036958","doi":"10.1109/wsc.1995.478870","title":"Stochastic optimization applied to a manufacturing system operation problem","year":2005,"lang":"en","type":"article","venue":"Winter Simulation Conference Proceedings, 1995.","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":"University of Calgary","funders":"","keywords":"Computer science; Infinitesimal; Mathematical optimization; Discrete event simulation; Code (set theory); Simulation language; Industrial engineering; Algorithm; Engineering; Simulation; Mathematics; Programming language","score_opus":0.07333661275753302,"score_gpt":0.355063953974049,"score_spread":0.281727341216516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232036958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029443191,0.0000039720067,0.95282227,0.0015588594,0.0000838421,0.0015080168,0.000011620069,0.0005529036,0.014015335],"genre_scores_gemma":[0.9449822,4.3233618e-7,0.053140786,0.0003865989,0.00030610562,0.00030443395,0.000023387947,0.000032053595,0.0008240523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996592,0.00002250229,0.0011102208,0.0008798883,0.001051299,0.00034409403],"domain_scores_gemma":[0.99780774,0.00022490793,0.00038712574,0.00036209085,0.0009919516,0.00022620875],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009809906,0.00029451126,0.00034075457,0.0005631241,0.00036880997,0.0011453422,0.00067569135,0.00015111353,0.0006235402],"category_scores_gemma":[0.00021137907,0.0002595995,0.00008673105,0.00059732,0.00004005107,0.0009638791,0.00017850168,0.00017483055,0.0007805275],"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":[0.000038432343,0.000034194476,0.000096542884,0.000010244312,0.000007060639,7.8536424e-8,0.0013664782,0.95469594,0.0005328161,0.014753543,0.0005267749,0.027937898],"study_design_scores_gemma":[0.00035654102,0.00004586307,0.00036910892,0.00006518823,0.000015053716,0.0000031975103,0.0010159035,0.9874867,0.002975696,0.0012662314,0.006085688,0.00031478197],"about_ca_topic_score_codex":0.0000071198792,"about_ca_topic_score_gemma":0.000006187895,"teacher_disagreement_score":0.91553897,"about_ca_system_score_codex":0.00024673206,"about_ca_system_score_gemma":0.000057093115,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W4232378240","doi":"10.1109/wsc.2002.1172890","title":"SSJ: a framework for stochastic simulation in Java","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":64,"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","keywords":"Computer science; Java; Flexibility (engineering); Programming language; Set (abstract data type); Process (computing); Key (lock); Extensibility; Event (particle physics); Software engineering; Operating system","score_opus":0.23702528544896712,"score_gpt":0.5153741037971444,"score_spread":0.2783488183481773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232378240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012762148,0.000010607398,0.9815272,0.0003150407,0.00004800541,0.00048771407,0.000003205824,0.000058266505,0.004787788],"genre_scores_gemma":[0.8987432,2.5172798e-7,0.09977813,0.0002612098,0.000018393455,0.00009218389,0.0000013451255,0.000005760766,0.0010995136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988906,0.000038837406,0.00038103547,0.0002543203,0.0003062984,0.00012895843],"domain_scores_gemma":[0.9955363,0.0038354853,0.00007921053,0.00034359415,0.00016338305,0.00004197765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009913353,0.000062446874,0.000110761976,0.00017195834,0.00007079121,0.00007823178,0.00017503911,0.00007633702,0.0007332079],"category_scores_gemma":[0.0052199555,0.00004830085,0.000053279768,0.0006894867,0.00001868091,0.00010979955,0.000012324528,0.000057634174,0.000110659785],"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":[0.0000051449983,0.000034374803,0.0007931921,4.858091e-7,8.100674e-7,4.944928e-8,0.00008123918,0.19949982,0.00002051811,0.7862999,0.00051047874,0.012753998],"study_design_scores_gemma":[0.0001198517,0.0000141531245,0.0010111944,0.0000034047835,0.0000011195986,1.6587626e-7,0.0001062559,0.25574324,0.00012740426,0.7299292,0.012886351,0.000057665566],"about_ca_topic_score_codex":0.00000495966,"about_ca_topic_score_gemma":0.000008712713,"teacher_disagreement_score":0.8859811,"about_ca_system_score_codex":0.000022199887,"about_ca_system_score_gemma":0.00002546372,"threshold_uncertainty_score":0.80281126},"labels":[],"label_agreement":null},{"id":"W4233056714","doi":"10.1007/978-1-4939-7131-2_101264","title":"Statistical Simulation","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.24487901654533492,"score_gpt":0.48164994557336926,"score_spread":0.23677092902803434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233056714","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004093014,0.0000063769903,0.4005152,0.00010702011,0.000052458086,0.00015358934,0.000059388094,0.00010302532,0.59899884],"genre_scores_gemma":[0.026072554,0.000003568189,0.011330704,0.0003200965,0.00027717976,0.0000063630346,0.000053185155,0.000024891044,0.96191144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976807,0.000013765688,0.000649892,0.000493171,0.0010525227,0.00010994812],"domain_scores_gemma":[0.9964826,0.0018188696,0.00023291733,0.00078250945,0.0005901923,0.00009287558],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00060964713,0.00016394092,0.00024159672,0.0002073138,0.0001051029,0.00016488119,0.00040864415,0.00024787913,0.13273717],"category_scores_gemma":[0.00044323722,0.000120679615,0.000096212636,0.00005816221,0.00014174606,0.00007876947,0.00010094646,0.00012631247,0.016434],"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":[0.000002930004,0.000003901743,0.00000645735,5.013221e-7,0.000003969295,5.510857e-7,0.000011564921,0.00018887148,9.811357e-7,0.82078165,0.13831252,0.040686093],"study_design_scores_gemma":[0.00002333744,0.000015414036,0.00003312984,0.000002960995,0.000005036608,3.3423265e-7,0.0000021183266,0.010919203,0.000004840315,0.4789617,0.50994986,0.00008203733],"about_ca_topic_score_codex":0.0000024469866,"about_ca_topic_score_gemma":0.000005516974,"teacher_disagreement_score":0.3891845,"about_ca_system_score_codex":0.00003202577,"about_ca_system_score_gemma":0.000043662938,"threshold_uncertainty_score":0.98433185},"labels":[],"label_agreement":null},{"id":"W4233270220","doi":"10.1007/978-1-4939-7131-2_101074","title":"Simulation","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.2568722849690688,"score_gpt":0.46405277665682554,"score_spread":0.20718049168775676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233270220","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007921528,0.0000144635715,0.1455596,0.00018988796,0.000076692166,0.0002002506,0.000015017658,0.00016511786,0.85377103],"genre_scores_gemma":[0.025542678,0.000003427129,0.0029427474,0.0003584503,0.000311587,0.0000053039016,0.000016672371,0.000021996882,0.9707971],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980231,0.000008119281,0.0005547992,0.00043491015,0.0008916493,0.000087417866],"domain_scores_gemma":[0.99697256,0.0011466028,0.0002708134,0.0008882944,0.0006590793,0.00006267872],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00056576135,0.00014728922,0.00020256087,0.00023941048,0.00009994048,0.00014537123,0.00046484685,0.0002465031,0.09112105],"category_scores_gemma":[0.00033704384,0.00010738821,0.00014574235,0.000067203866,0.000084396794,0.00009166161,0.000098401506,0.000098982746,0.018026581],"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":[0.0000027374183,0.000004565656,0.0000072587986,5.806709e-7,0.000006338141,3.7418184e-7,0.000027214744,0.0014208289,0.0000027080262,0.78391415,0.15311404,0.061499245],"study_design_scores_gemma":[0.000018034538,0.000009538141,0.000007800943,0.0000032688079,0.0000034101015,1.4959726e-7,0.0000020160803,0.012403126,0.000010539409,0.4531756,0.5342921,0.00007441075],"about_ca_topic_score_codex":0.0000015670715,"about_ca_topic_score_gemma":0.000004574881,"teacher_disagreement_score":0.38117805,"about_ca_system_score_codex":0.000026283398,"about_ca_system_score_gemma":0.000030422907,"threshold_uncertainty_score":0.982738},"labels":[],"label_agreement":null},{"id":"W4233379804","doi":"10.22215/etd/2010-09753","title":"Algorithms for parallel simulation of large-scale DEVS and cell-DEVS models","year":2010,"lang":"en","type":"dissertation","venue":"","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; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"DEVS; Computer science; Scale (ratio); Parallel computing; Discrete event simulation; Computational science; Modeling and simulation; Simulation; Geography; Cartography","score_opus":0.09849885124937419,"score_gpt":0.4390695330878271,"score_spread":0.3405706818384529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233379804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04459109,0.000101068974,0.9376589,0.000076656,0.00017471304,0.0013170354,0.00021653713,0.00009312303,0.015770847],"genre_scores_gemma":[0.81786,0.000035402267,0.1387555,0.000079828205,0.00009001129,0.00024728733,0.0008520117,0.00003919569,0.042040728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755067,0.000026497817,0.00094409543,0.00056782964,0.00071349915,0.00019739223],"domain_scores_gemma":[0.99645287,0.0011598711,0.0006199731,0.00057719555,0.00109588,0.00009422998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091224763,0.0002190566,0.0004195927,0.00029597935,0.00018927125,0.00012141595,0.0004148685,0.0005042162,0.00027530556],"category_scores_gemma":[0.0002047105,0.0001748345,0.00017663173,0.00033019652,0.000032955093,0.0002783835,0.00003706166,0.00018370892,0.000014233493],"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":[0.00059358974,0.0010986093,0.000639398,0.00038058215,0.00008829022,6.2309175e-7,0.010038832,0.5070672,0.008262992,0.0934044,0.02315792,0.35526752],"study_design_scores_gemma":[0.00040387013,0.000038421513,0.00040660988,0.000010952863,0.000028547262,1.702553e-7,0.0010886985,0.84582305,0.0036807898,0.13364911,0.014663741,0.00020603953],"about_ca_topic_score_codex":0.000034760822,"about_ca_topic_score_gemma":0.0002674086,"teacher_disagreement_score":0.7989034,"about_ca_system_score_codex":0.000011278683,"about_ca_system_score_gemma":0.00007900775,"threshold_uncertainty_score":0.7129544},"labels":[],"label_agreement":null},{"id":"W4233912180","doi":"10.1007/978-0-387-39940-9_3174","title":"Object Flow Diagrams","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Object (grammar); Artificial intelligence","score_opus":0.07035788243604535,"score_gpt":0.3498735637947264,"score_spread":0.27951568135868105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233912180","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029182513,0.0016245873,0.012605684,0.0000860371,0.000747077,0.0010854222,0.0027007752,0.00016911044,0.98095214],"genre_scores_gemma":[0.004113807,0.0016837976,0.003847289,0.000070820446,0.0010643741,0.00007465767,0.0011140761,0.0000699771,0.9879612],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99495906,0.0000799892,0.0018078472,0.000878558,0.0020132742,0.00026125862],"domain_scores_gemma":[0.9944396,0.0010952986,0.0011602354,0.0025620863,0.00054782757,0.00019493568],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017130296,0.0004167491,0.0009130782,0.00050534913,0.000113961134,0.00012192651,0.0012446764,0.0003450757,0.001075621],"category_scores_gemma":[0.0006017793,0.0003309424,0.00032940417,0.00023036342,0.00011789754,0.00026552202,0.00020733195,0.0003500298,0.0011875654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020119262,0.000089957546,0.00017513763,0.00008201645,0.00006653918,0.000029620172,0.00017609175,0.0003787171,0.000033221677,0.25338042,0.48200208,0.26356608],"study_design_scores_gemma":[0.00013651547,0.000053755848,0.00005959884,0.00022164687,0.000041102157,0.00000922722,0.000033061504,0.0009530851,0.000017334252,0.0180936,0.9800303,0.0003507768],"about_ca_topic_score_codex":0.00008073781,"about_ca_topic_score_gemma":0.000028186585,"teacher_disagreement_score":0.49802822,"about_ca_system_score_codex":0.000055809076,"about_ca_system_score_gemma":0.00017248795,"threshold_uncertainty_score":0.9999143},"labels":[],"label_agreement":null},{"id":"W4233921548","doi":"10.1007/978-3-030-18869-6_12","title":"Simulation Optimization in the DEDS Domain","year":2019,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Range (aeronautics); Mathematical optimization; Heuristic; Constraint (computer-aided design); Context (archaeology); Integer (computer science); Task (project management); Computer science; Function (biology); Optimization problem; Outcome (game theory); Random search; Mathematics; Engineering","score_opus":0.16675005245037064,"score_gpt":0.506765340910551,"score_spread":0.34001528846018036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233921548","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":[0.000017231396,0.00027594066,0.8372587,0.0012335381,0.000091304726,0.0031878385,0.0000884392,0.00012799089,0.15771905],"genre_scores_gemma":[0.115670845,0.00041679642,0.653623,0.0025212017,0.0012024048,0.00196833,0.0025131097,0.0003026835,0.22178166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945566,0.00057164,0.0020196126,0.0012506384,0.0012853976,0.00031612054],"domain_scores_gemma":[0.98193204,0.013654597,0.0012180906,0.001980147,0.0011007888,0.00011434044],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005900298,0.0005218894,0.0006465938,0.0010263262,0.00079931883,0.00083974865,0.0009801718,0.00057727925,0.0013204162],"category_scores_gemma":[0.0010891091,0.00041761086,0.00023314645,0.0010956686,0.00026167635,0.0005732925,0.000177512,0.0006028043,0.00040776635],"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":[0.0000059553354,0.000027741195,0.000058470334,0.000007087526,0.0000102962795,1.3530052e-7,0.00013072549,0.5770331,0.0000034448306,0.3422957,0.00013947263,0.08028785],"study_design_scores_gemma":[0.00017008992,0.000014982503,0.00013734029,0.000015754402,0.000032323944,0.0000011395642,0.00010012175,0.34975553,0.0000010567726,0.25889552,0.39064935,0.00022678953],"about_ca_topic_score_codex":0.000010662066,"about_ca_topic_score_gemma":0.000020209516,"teacher_disagreement_score":0.39050987,"about_ca_system_score_codex":0.00016487483,"about_ca_system_score_gemma":0.00023245165,"threshold_uncertainty_score":0.99982756},"labels":[],"label_agreement":null},{"id":"W4234137902","doi":"10.1109/wsc.1989.718741","title":"Comparative Analyses Of Parallel Simulation Protocols","year":2005,"lang":"en","type":"article","venue":"1989 Winter Simulation Conference Proceedings","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Victoria","keywords":"Testbed; Computer science; Set (abstract data type); Distributed computing; Dependency (UML); Protocol (science); Computer architecture; Software engineering; Computer network; Programming language","score_opus":0.4392444745267605,"score_gpt":0.5458970607946092,"score_spread":0.10665258626784868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234137902","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":[0.19310494,0.000014175321,0.7813895,0.0009652064,0.000036437807,0.006691208,0.000025031553,0.00026399925,0.017509535],"genre_scores_gemma":[0.984744,7.9369914e-7,0.01296384,0.0001583696,0.00013290055,0.0008957958,0.000011332485,0.00001418074,0.0010787868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964886,0.000045488723,0.0014340816,0.0006238397,0.0011584706,0.00024957166],"domain_scores_gemma":[0.99440885,0.0008796804,0.00094223686,0.00037926063,0.0032650076,0.00012498631],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008845363,0.00025582142,0.0005495418,0.00047986457,0.00016684481,0.00035131397,0.0007184982,0.00013734237,0.0013239433],"category_scores_gemma":[0.00071270677,0.0002077224,0.00018595738,0.001087129,0.0001581693,0.0012851743,0.00012520743,0.00016749483,0.00021523406],"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":[0.00014795794,0.0002123693,0.009486283,0.0000144490305,0.000037494865,1.3098321e-7,0.0041705756,0.94635504,0.005403494,0.009992961,0.0011483855,0.023030844],"study_design_scores_gemma":[0.00048185783,0.00009599376,0.007202036,0.000053648473,0.00001876487,6.8579385e-7,0.0006344261,0.94421726,0.009434092,0.013094221,0.024540013,0.00022699639],"about_ca_topic_score_codex":0.000009884525,"about_ca_topic_score_gemma":0.0000055821542,"teacher_disagreement_score":0.79163903,"about_ca_system_score_codex":0.00006031698,"about_ca_system_score_gemma":0.000070906506,"threshold_uncertainty_score":0.99958897},"labels":[],"label_agreement":null},{"id":"W4234222194","doi":"10.1109/pads.1995.404296","title":"A fast asynchronous GVT algorithm for shared memory multiprocessor architectures","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"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":"University of Waikato","keywords":"Computer science; Asynchronous communication; Parallel computing; Correctness; Overhead (engineering); Distributed computing; Multiprocessing; Shared memory; Distributed memory; Distributed shared memory; Synchronization (alternating current); Inter-process communication; Scheme (mathematics); Parallel algorithm; Memory management; Algorithm; Uniform memory access; Overlay; Operating system; Computer network","score_opus":0.10421088554361771,"score_gpt":0.38351698045836374,"score_spread":0.279306094914746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234222194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042847088,0.00010085385,0.9729631,0.0012408309,0.000055444296,0.00077892677,0.00009903086,0.00030420296,0.020172931],"genre_scores_gemma":[0.6195466,0.0000030630777,0.35149327,0.0006739375,0.00016881993,0.00047110024,0.000009514001,0.00002033939,0.027613368],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834436,0.000024776307,0.0004312558,0.0004602367,0.00051757495,0.00022180189],"domain_scores_gemma":[0.99810493,0.00086873927,0.00012387308,0.00050184893,0.00029713553,0.00010347666],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041072845,0.00012777156,0.00018483841,0.00018325314,0.00023006069,0.00020117825,0.0005803489,0.00007173369,0.0053448887],"category_scores_gemma":[0.00045690004,0.000089560956,0.00013543309,0.00045419123,0.000059211427,0.00009411727,0.00006422706,0.00007222906,0.00037557416],"study_design_candidate":"design_other","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":[0.000002213234,0.00006704306,0.000049965296,0.0000015519639,0.000004170598,3.1260248e-7,0.000293694,0.0003693767,0.000097152006,0.00028221554,0.026831344,0.97200096],"study_design_scores_gemma":[0.0005948164,0.00006870222,0.0010845503,0.000005999628,0.000007500518,0.000007176089,0.00035700182,0.90548146,0.004710051,0.020545403,0.066902,0.00023535489],"about_ca_topic_score_codex":0.000022663604,"about_ca_topic_score_gemma":0.00001659677,"teacher_disagreement_score":0.9717656,"about_ca_system_score_codex":0.000019430003,"about_ca_system_score_gemma":0.000012876322,"threshold_uncertainty_score":0.99556434},"labels":[],"label_agreement":null},{"id":"W4235729719","doi":"10.1186/s41077-021-00159-z","title":"2021 Simulation Summit Webinar Series","year":2021,"lang":"en","type":"article","venue":"Advances in Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; McGill University; Izaak Walton Killam Health Centre; Dalhousie University","funders":"McGill University Health Centre; Faculty of Medicine and Health, University of Sydney; McGill University; Heart and Stroke Foundation of Canada","keywords":"Summit; Series (stratigraphy); Health services research; Public health; Medicine; Geology; Nursing; Geography; Physical geography","score_opus":0.07524814989174758,"score_gpt":0.4598599772440479,"score_spread":0.3846118273523004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235729719","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":[0.14369406,0.002860859,0.8297717,0.0014888884,0.00060735625,0.0006797373,0.000034939087,0.00021872259,0.020643733],"genre_scores_gemma":[0.99001706,0.00017801543,0.0069746342,0.00013984456,0.00013773242,0.000033110853,0.00005012293,0.000015673246,0.002453817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973048,0.00018243381,0.0008386683,0.0006028107,0.0008428774,0.0002284097],"domain_scores_gemma":[0.99614525,0.0021055415,0.00025879723,0.0007212171,0.0007042117,0.000064963155],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000793644,0.00015850087,0.00025591577,0.00025030586,0.00018124704,0.00017752132,0.0002842779,0.00011444639,0.0012818605],"category_scores_gemma":[0.0022607646,0.00015038531,0.00009530063,0.0019585555,0.00006802448,0.002156269,0.00009445161,0.00013716625,0.0002615733],"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":[0.000018995806,0.00004515605,0.018585442,0.000002473826,0.000001551263,0.0000043439727,0.00008127859,0.8829014,0.00019582105,0.0074487166,0.000051313695,0.09066353],"study_design_scores_gemma":[0.0002805936,0.000021531176,0.007240983,0.000016788403,0.000004090218,8.348699e-7,0.00031453243,0.5750336,0.0011336482,0.117533386,0.29824936,0.00017065581],"about_ca_topic_score_codex":0.0000043076197,"about_ca_topic_score_gemma":0.00012656812,"teacher_disagreement_score":0.846323,"about_ca_system_score_codex":0.000082252875,"about_ca_system_score_gemma":0.00006088686,"threshold_uncertainty_score":0.9996311},"labels":[],"label_agreement":null},{"id":"W4236000504","doi":"10.1145/544852.544861","title":"The integrated modeling of multi-agent systems and their environment","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; State diagram; Activity diagram; Class diagram; Relation (database); Set (abstract data type); Communication diagram; Diagram; Multi-agent system; Use Case Diagram; Task (project management); Unified Modeling Language; State (computer science); Systems engineering; Artificial intelligence; Data mining; Engineering; Programming language","score_opus":0.2380330604877335,"score_gpt":0.3604456927482529,"score_spread":0.12241263226051938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236000504","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":[0.08066098,0.00092035637,0.9151405,0.0005086876,0.00003132696,0.00029968587,0.000007360714,0.000037647154,0.0023934494],"genre_scores_gemma":[0.9953921,0.00017999377,0.0013160956,0.00002048152,0.000005301023,0.0000207197,3.549378e-7,0.0000026662099,0.003062327],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925065,0.000039965795,0.00031553893,0.00013392295,0.00019816225,0.00006174489],"domain_scores_gemma":[0.9992086,0.00032864054,0.000069371774,0.00031202202,0.00005251387,0.000028837369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057789596,0.000048721253,0.000078727695,0.000031994987,0.00012278614,0.00007225257,0.00019138538,0.000022745362,0.00013681663],"category_scores_gemma":[0.000069198526,0.000020970963,0.000026900232,0.00010843057,0.000045794215,0.00003881366,0.000046729463,0.000033299188,0.000037009006],"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":[0.000009605977,0.0003221694,0.0027583004,0.000005374255,0.000043724365,3.241781e-7,0.0027717748,0.4543416,0.008028467,0.06536789,0.009241151,0.45710963],"study_design_scores_gemma":[0.000049728358,0.0000071481127,0.00006205525,0.0000020288496,9.0145966e-7,5.3219634e-7,0.0013596906,0.9723608,0.00033041925,0.0009326728,0.024866633,0.000027421225],"about_ca_topic_score_codex":0.000045433157,"about_ca_topic_score_gemma":0.0000028963684,"teacher_disagreement_score":0.9147311,"about_ca_system_score_codex":0.000009245496,"about_ca_system_score_gemma":0.0000018475747,"threshold_uncertainty_score":0.14980462},"labels":[],"label_agreement":null},{"id":"W4236304164","doi":"10.1007/978-1-4614-6170-8_100277","title":"Monte Carlo Algorithm","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Monte Carlo method; Algorithm; Computer science; Mathematics; Statistics","score_opus":0.13059540949501694,"score_gpt":0.3951272681178317,"score_spread":0.2645318586228148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236304164","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012204781,0.00004967743,0.22753035,0.0004419712,0.000088420085,0.00019167658,0.000032174237,0.00016732673,0.7714972],"genre_scores_gemma":[0.001700624,0.000022875862,0.01775264,0.00064237195,0.00024065928,0.000015781292,0.0000051326815,0.000027908309,0.979592],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977551,0.000012159037,0.000599564,0.00051950716,0.0009910353,0.00012264067],"domain_scores_gemma":[0.99762756,0.000501279,0.0002646782,0.001104295,0.000400326,0.00010183965],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006744969,0.00019438105,0.00032621363,0.00022788288,0.00009875797,0.00015960819,0.00070041267,0.00026739587,0.009324595],"category_scores_gemma":[0.00009334467,0.00013847428,0.00022252572,0.000059100814,0.00006887482,0.000045750778,0.00013565893,0.00017722858,0.0047454503],"study_design_candidate":"not_applicable","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":[3.695062e-7,0.00000169615,0.0000021034386,3.2258512e-7,0.000004412018,5.2198146e-7,0.000006221131,0.00002056354,4.974388e-7,0.36143267,0.15488055,0.48365006],"study_design_scores_gemma":[0.000034926965,0.000011743374,0.000009752378,0.000005464648,0.0000063685843,0.0000016413402,0.0000031668949,0.0077338144,0.000011114442,0.23787485,0.7541712,0.00013598069],"about_ca_topic_score_codex":0.000024580424,"about_ca_topic_score_gemma":0.00001233069,"teacher_disagreement_score":0.5992906,"about_ca_system_score_codex":0.000025948351,"about_ca_system_score_gemma":0.000031934866,"threshold_uncertainty_score":0.9960295},"labels":[],"label_agreement":null},{"id":"W4236483261","doi":"10.22360/springsim.2017.tmsdevs.018","title":"A Taxonomy of Event Time Representations","year":2017,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Autodesk (Canada)","funders":"","keywords":"Computer science; Event (particle physics); Event structure; Debugging; Categorization; Context (archaeology); Taxonomy (biology); Vocabulary; Natural language processing; Theoretical computer science; Causal consistency; Consistency (knowledge bases); Artificial intelligence; Correctness; Programming language; Consistency model; Linguistics","score_opus":0.2841104918975135,"score_gpt":0.5012982917861731,"score_spread":0.21718779988865966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236483261","genre_codex":"other","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":[0.05041246,0.0000057263273,0.26605186,0.0035315233,0.00004149674,0.00046431442,0.000015537114,0.000062745654,0.67941433],"genre_scores_gemma":[0.9517477,8.3804287e-7,0.011633333,0.00003961277,0.000017108014,0.000051647276,0.0000010968199,0.0000019286358,0.0365067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918187,0.000016532307,0.0002974,0.00015291294,0.0003001232,0.000051157203],"domain_scores_gemma":[0.99808764,0.0002574641,0.0002619825,0.0011594491,0.00020030516,0.000033175766],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050629437,0.000032228374,0.00008511657,0.00006198175,0.00021575761,0.00011371568,0.0006098849,0.000019672349,0.0033784686],"category_scores_gemma":[0.0008083266,0.000023034192,0.00006371949,0.00008277208,0.000072923205,0.0001784571,0.000106162064,0.00002095571,0.0006072782],"study_design_candidate":"not_applicable","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":[0.000010924032,0.00021371925,0.08507314,0.0000016491352,0.000019911007,7.6191986e-7,0.00014091385,0.0005340109,0.0067739664,0.3442336,0.28315997,0.27983743],"study_design_scores_gemma":[0.00028304284,0.000030182544,0.22225858,0.0000059267145,0.000008334307,0.000001651514,0.00017048602,0.023568602,0.025061056,0.19945927,0.52901685,0.00013601253],"about_ca_topic_score_codex":0.000086953696,"about_ca_topic_score_gemma":0.000007252897,"teacher_disagreement_score":0.9013353,"about_ca_system_score_codex":0.000004516491,"about_ca_system_score_gemma":0.000019409845,"threshold_uncertainty_score":0.9975326},"labels":[],"label_agreement":null},{"id":"W4236484324","doi":"10.1007/978-1-4939-7131-2_100688","title":"Monte Carlo Methods","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Monte Carlo method; Computer science; Statistical physics; Mathematics; Statistics; Physics","score_opus":0.3459484115995509,"score_gpt":0.547295371308127,"score_spread":0.20134695970857608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236484324","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005069692,0.0000794889,0.15651855,0.00035754114,0.00012495914,0.00021628986,0.000019477142,0.000172335,0.8425063],"genre_scores_gemma":[0.00040698663,0.000018609662,0.13883866,0.00045854738,0.00021760448,0.000013812766,0.0000019188521,0.00002407117,0.8600198],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979088,0.000034259072,0.0006375266,0.0005575175,0.0007407632,0.00012113295],"domain_scores_gemma":[0.9968282,0.00092584203,0.00028603172,0.0012733258,0.00059084164,0.00009575114],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016964141,0.00019021276,0.00032702007,0.00025360126,0.000108402666,0.00016032436,0.0007889795,0.0002908643,0.049996402],"category_scores_gemma":[0.00028169015,0.00013123319,0.00023356007,0.000084841704,0.00012849152,0.00007630499,0.00019319783,0.00015514233,0.00507624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017921788,0.0000033927938,0.0000034851168,5.6678925e-7,0.000010326378,5.0210514e-7,0.00003969896,0.000006741381,0.000008963757,0.39902762,0.4083013,0.1925956],"study_design_scores_gemma":[0.000019085679,0.000012039002,0.000006842647,0.0000040069403,0.000006812936,0.0000010636085,0.000007509664,0.00078177167,0.000087871565,0.3946525,0.6043193,0.00010127296],"about_ca_topic_score_codex":0.000015432235,"about_ca_topic_score_gemma":0.000014756005,"teacher_disagreement_score":0.19601794,"about_ca_system_score_codex":0.00002837848,"about_ca_system_score_gemma":0.000043596767,"threshold_uncertainty_score":0.99569845},"labels":[],"label_agreement":null},{"id":"W4236667745","doi":"10.26868/25222708.2019.210308","title":"Development and Analysis of Simplified Control-oriented Models for a Group of Institutional Offices","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Group (periodic table); Computer science; Control (management); Artificial intelligence","score_opus":0.1755040040636282,"score_gpt":0.3917879697532473,"score_spread":0.2162839656896191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236667745","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":[0.45006043,0.0000089353625,0.5493001,0.00016592545,0.0000064044816,0.00027817587,0.000035891106,0.000030063748,0.00011411822],"genre_scores_gemma":[0.9322276,0.0000015756996,0.06757153,0.00010566483,0.000014839721,0.00004655313,0.000018987052,0.00000539251,0.000007820689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795127,0.000008870996,0.00091798045,0.0004072413,0.0005927466,0.00012188013],"domain_scores_gemma":[0.99684554,0.0006833964,0.00063371996,0.00009412224,0.0016495722,0.00009366164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007175713,0.00012144903,0.00041993003,0.00040187503,0.00014371156,0.00007632457,0.00025140287,0.00007441022,0.000028801356],"category_scores_gemma":[0.0010224978,0.00010636686,0.00010307288,0.0014922706,0.00010268035,0.00041137525,0.000060436887,0.000048623187,4.5153618e-7],"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":[0.00017230847,0.00005567912,0.011214709,0.000040931875,0.0001695553,3.1478e-8,0.0026613628,0.26629803,0.012750621,0.6861919,0.000024698384,0.020420182],"study_design_scores_gemma":[0.0005151808,0.000043366126,0.0076170275,0.000016126198,0.00012758527,7.5300775e-8,0.00029978543,0.97404855,0.002854441,0.011894893,0.002476142,0.000106831605],"about_ca_topic_score_codex":0.000005508574,"about_ca_topic_score_gemma":0.0000015119841,"teacher_disagreement_score":0.7077505,"about_ca_system_score_codex":0.000017334078,"about_ca_system_score_gemma":0.00007615172,"threshold_uncertainty_score":0.43375146},"labels":[],"label_agreement":null},{"id":"W4236792141","doi":"10.1007/978-1-4614-4057-4_6","title":"Poisson Process","year":2012,"lang":"en","type":"book-chapter","venue":"Universitext","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Brock University","funders":"","keywords":"Jump; State space; State (computer science); Poisson process; Poisson distribution; Process (computing); Compound Poisson process; Mathematics; Discrete mathematics; Computer science; Applied mathematics; Algorithm; Statistics; Physics; Operating system; Quantum mechanics","score_opus":0.13369396699897645,"score_gpt":0.38242184024968473,"score_spread":0.24872787325070828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236792141","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006865296,0.00020639421,0.002593618,0.0003772354,0.000066024375,0.00019130054,0.00004410853,0.00011106737,0.9963416],"genre_scores_gemma":[0.05841976,0.000037060097,0.0002938556,0.00015011596,0.0001279841,9.890928e-7,0.000024401324,0.000019065503,0.9409268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985863,0.000008575954,0.00024050931,0.00033564123,0.0006891713,0.00013983478],"domain_scores_gemma":[0.99849063,0.0002057836,0.00025722448,0.0005856005,0.00034329647,0.000117433745],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026492495,0.00015579388,0.00020339432,0.00035024516,0.00014311995,0.00006111407,0.00065292575,0.000233818,0.01826171],"category_scores_gemma":[0.000037987924,0.00013708071,0.00013759114,0.00011091166,0.000070453614,0.00020985713,0.00010618516,0.00017291332,0.005747619],"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":[0.000006277893,0.000011529681,0.00007090514,0.0000027553604,0.000012267733,0.0000030249867,0.00026487667,0.000018257202,0.000005933905,0.79624534,0.0604636,0.14289525],"study_design_scores_gemma":[0.000053042233,0.0000086507125,0.000034384844,0.000012012683,0.000018425952,0.0000014987263,0.00007091731,0.00004608479,0.000024526173,0.1448314,0.8547561,0.00014293216],"about_ca_topic_score_codex":0.000003459882,"about_ca_topic_score_gemma":0.000002609906,"teacher_disagreement_score":0.7942925,"about_ca_system_score_codex":0.00006193601,"about_ca_system_score_gemma":0.000045222503,"threshold_uncertainty_score":0.9950265},"labels":[],"label_agreement":null},{"id":"W4236793458","doi":"10.1007/978-1-4614-6170-8_100377","title":"Statistical Simulation","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics","score_opus":0.20087120204873032,"score_gpt":0.4626779136117122,"score_spread":0.26180671156298185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236793458","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.783074e-7,0.0000050147855,0.4905855,0.00014226347,0.000035349698,0.00012110653,0.000027852602,0.00008810164,0.5089939],"genre_scores_gemma":[0.07884611,0.0000030992114,0.008207914,0.0004289962,0.00016643268,0.000006749661,0.000053135205,0.000024287809,0.9122633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976853,0.000018874332,0.0006734389,0.00046996606,0.0010464469,0.000105950596],"domain_scores_gemma":[0.9956302,0.002866394,0.0002472654,0.0007800863,0.00038008287,0.000095963194],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00072717766,0.00016619038,0.00028105485,0.00020254614,0.00009146548,0.00015330761,0.00039290212,0.00024267845,0.029358806],"category_scores_gemma":[0.00051694,0.00012279623,0.00010561376,0.00004626326,0.0000773593,0.00004211507,0.00008200415,0.00015419026,0.007463843],"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":[0.0000015800659,0.0000018884349,0.000006569708,5.770122e-7,0.0000025130962,2.802203e-7,0.0000030534206,0.0012714985,6.728929e-7,0.8433652,0.039942537,0.11540362],"study_design_scores_gemma":[0.000026494725,0.000010334739,0.00004087958,0.0000028426614,0.000005081877,2.895456e-7,7.220649e-7,0.02746603,0.0000023430973,0.44660217,0.52575773,0.00008506622],"about_ca_topic_score_codex":0.0000030156505,"about_ca_topic_score_gemma":0.000004086296,"teacher_disagreement_score":0.4858152,"about_ca_system_score_codex":0.000027302338,"about_ca_system_score_gemma":0.000030832627,"threshold_uncertainty_score":0.99330896},"labels":[],"label_agreement":null},{"id":"W4236853437","doi":"10.1007/978-1-84628-622-3_5","title":"DEDS Simulation Model Development","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Development (topology); Conceptual model; Computer program; Software engineering; C programming language; Programming language; Systems engineering; Engineering; Software; Database","score_opus":0.4797799094820204,"score_gpt":0.4928816875210756,"score_spread":0.013101778039055212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236853437","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010144994,0.000015193854,0.48323917,0.00004694465,0.000022358332,0.00018137658,0.000004044794,0.00011519559,0.5163655],"genre_scores_gemma":[0.034078892,0.0000050324666,0.07132422,0.00045407907,0.00006505851,0.000009961131,0.000030254621,0.00003014264,0.8940024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969356,0.0000054072943,0.0009777886,0.00052618555,0.001395298,0.00015974352],"domain_scores_gemma":[0.99764454,0.00062077155,0.0003238394,0.0007102171,0.000592433,0.00010820498],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011493091,0.00022637054,0.00026518496,0.0004775481,0.00016604563,0.00012298494,0.0005027325,0.0003540491,0.004307883],"category_scores_gemma":[0.00010923618,0.00017688301,0.00013065143,0.00009880679,0.000044832497,0.00010713295,0.00013180597,0.00017416873,0.0022603387],"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":[0.0000042965166,0.000009155014,0.000007828375,0.0000011261135,0.000007919787,5.7171246e-7,0.00005726869,0.10835268,0.000003164049,0.6032134,0.006567623,0.2817749],"study_design_scores_gemma":[0.000034353223,0.0000032794703,0.00001260219,0.0000058791466,0.000003769285,2.720347e-7,0.000002708588,0.23047383,0.000058702768,0.26012468,0.5091346,0.00014532948],"about_ca_topic_score_codex":0.0000014650072,"about_ca_topic_score_gemma":0.00001642937,"teacher_disagreement_score":0.502567,"about_ca_system_score_codex":0.00009693604,"about_ca_system_score_gemma":0.00014771572,"threshold_uncertainty_score":0.9985165},"labels":[],"label_agreement":null},{"id":"W4236983193","doi":"10.1002/9781118914670.ch7","title":"Process Simulation","year":2017,"lang":"en","type":"other","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Differential algebraic equation; Numerical partial differential equations; Exponential integrator; Mathematics; Differential algebraic geometry; Algebraic equation; Ordinary differential equation; Differential equation; Independent equation; Applied mathematics; Simultaneous equations; Multigrid method; Backward differentiation formula; Examples of differential equations; Stochastic partial differential equation; Mathematical analysis; Nonlinear system; Physics","score_opus":0.24210748900368737,"score_gpt":0.5574836454441398,"score_spread":0.31537615644045236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236983193","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000021631904,0.00003451684,0.10981984,0.00015238584,0.000075364376,0.00026106485,0.000016118607,0.00037148644,0.8892671],"genre_scores_gemma":[0.04286607,0.000005439171,0.00091837463,0.00008755111,0.00021009124,0.000028220149,0.0000106247,0.000099201265,0.9557744],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998662,0.000016978485,0.00020578718,0.0003544115,0.00067282456,0.00008801454],"domain_scores_gemma":[0.99802226,0.00018928679,0.00043132907,0.001170069,0.0001407492,0.000046302954],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00034325942,0.00011044275,0.00017967443,0.00026093822,0.00010136788,0.00019786772,0.0008358795,0.00019076376,0.01984657],"category_scores_gemma":[0.0005995338,0.00007599006,0.0000657706,0.0001353801,0.000046226014,0.00006826813,0.000048096026,0.00006552301,0.002148247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.6234857e-7,0.000007788002,0.0000902012,0.0000014807204,0.000002498407,1.6511758e-7,0.0000063388993,0.00036345288,6.305022e-7,0.0019563304,0.9400401,0.057530537],"study_design_scores_gemma":[0.00004288586,0.0000035047397,0.00006989702,0.000015328354,0.0000032412568,1.4892001e-7,0.0000063316534,0.008972288,0.000018837804,0.026807958,0.96395826,0.00010130226],"about_ca_topic_score_codex":0.000039087274,"about_ca_topic_score_gemma":0.00004676136,"teacher_disagreement_score":0.10890146,"about_ca_system_score_codex":0.000007335945,"about_ca_system_score_gemma":0.00003364519,"threshold_uncertainty_score":0.9986287},"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":"W4237557462","doi":"10.1007/978-1-4939-7131-2_101449","title":"Waiting Time Models","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.2617522031983623,"score_gpt":0.40779393428919614,"score_spread":0.14604173109083385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237557462","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000021188185,0.00001997996,0.034443468,0.00031182877,0.000032623633,0.0001941554,0.000024590392,0.00022631824,0.96472585],"genre_scores_gemma":[0.0037601208,0.0000063451007,0.0042498284,0.00039457588,0.00024520716,0.000007687341,0.000014511778,0.000026671878,0.99129504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980025,0.000008026526,0.0005645692,0.00047373894,0.0008330492,0.00011810778],"domain_scores_gemma":[0.99790996,0.00045264125,0.00025914758,0.00083059666,0.00047450245,0.000073126015],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006931863,0.0001599785,0.0002449674,0.00019825406,0.00012119205,0.00016565496,0.0006209676,0.00022436258,0.07717505],"category_scores_gemma":[0.00007942517,0.00011626639,0.00015762798,0.00005676913,0.000086114145,0.0001339642,0.0001672279,0.00011616359,0.02451388],"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":[8.08708e-7,0.0000021220055,1.9080157e-7,3.181406e-7,0.0000040259206,3.1683703e-7,0.00002349419,0.00005676527,0.000008497709,0.73211724,0.24722798,0.020558268],"study_design_scores_gemma":[0.000014620618,0.0000064264927,1.4760056e-7,0.0000064371516,0.0000032424434,8.6082e-7,0.000003254864,0.069108516,0.000027628615,0.5172363,0.41350934,0.00008323445],"about_ca_topic_score_codex":0.000003341423,"about_ca_topic_score_gemma":0.0000015576653,"teacher_disagreement_score":0.21488091,"about_ca_system_score_codex":0.000022572398,"about_ca_system_score_gemma":0.00003612726,"threshold_uncertainty_score":0.97624564},"labels":[],"label_agreement":null},{"id":"W4237726965","doi":"10.1109/wsc.2004.1371317","title":"Modeling and Simulation of Hardware/Software Systems with CD++","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Reuse; Computer science; Modular design; Component (thermodynamics); Abstraction; Hardware-in-the-loop simulation; Software; Embedded system; Component-based software engineering; Hardware architecture; Software development; Computer architecture; Software engineering; Programming language; Modeling and simulation; Simulation","score_opus":0.07677062395647673,"score_gpt":0.34580656007931365,"score_spread":0.26903593612283694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237726965","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":[0.5965479,0.00013247484,0.40014347,0.00039054867,0.00006246216,0.0007520994,0.000028518769,0.000096423355,0.0018460819],"genre_scores_gemma":[0.9945411,0.000003209885,0.004175359,0.0000539107,0.00007889608,0.000022092478,0.0000026579132,0.00001929613,0.0011034722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740064,0.00001982082,0.0009855829,0.00043098576,0.00097299163,0.00018995463],"domain_scores_gemma":[0.99589646,0.0003576055,0.0006674563,0.00031993858,0.002680255,0.00007828489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007391384,0.00020428613,0.00037125638,0.00028616382,0.00015621913,0.00020634187,0.00058454945,0.00011922783,0.00008606711],"category_scores_gemma":[0.0005917467,0.0001326765,0.000098604054,0.00068858283,0.00014600129,0.0007610575,0.00012620832,0.00014091848,0.000008912422],"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":[0.000049653154,0.000038697464,0.01196204,0.000023211684,0.000014844741,1.9350388e-8,0.000475909,0.980694,0.00022401956,0.0016091503,0.00012629942,0.0047821775],"study_design_scores_gemma":[0.00042316326,0.00005694193,0.0018917428,0.00017812348,0.000030638814,0.0000018139475,0.0003474731,0.9900529,0.00086733064,0.004221534,0.0017711956,0.00015714219],"about_ca_topic_score_codex":0.000027150285,"about_ca_topic_score_gemma":0.0000074334803,"teacher_disagreement_score":0.39799318,"about_ca_system_score_codex":0.000048323393,"about_ca_system_score_gemma":0.00006191748,"threshold_uncertainty_score":0.5410391},"labels":[],"label_agreement":null},{"id":"W4238320961","doi":"10.1007/978-1-4614-6170-8_100374","title":"Markov Chain Monte Carlo Algorithms","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Markov chain Monte Carlo; Computer science; Monte Carlo method; Markov chain; Algorithm; Hybrid Monte Carlo; Statistical physics; Mathematics; Machine learning; Statistics; Physics","score_opus":0.10549029689066713,"score_gpt":0.3777219659269885,"score_spread":0.27223166903632134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238320961","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000046105856,0.000107103275,0.120134965,0.00093022356,0.00016594502,0.0003562539,0.000045893463,0.00023017387,0.8780248],"genre_scores_gemma":[0.0055331327,0.000040283925,0.011057549,0.000785715,0.00028495703,0.000031459927,0.000010781977,0.00004113824,0.982215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971121,0.000023950897,0.00077564025,0.000698188,0.00120861,0.00018150159],"domain_scores_gemma":[0.99700135,0.00071798364,0.0003564064,0.0013587032,0.00042487503,0.00014070378],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012095218,0.00027167678,0.0004340324,0.00032150475,0.00013279101,0.000194472,0.00090332486,0.00035718287,0.009254633],"category_scores_gemma":[0.00017357568,0.00019790941,0.00028234944,0.0000892428,0.000094736664,0.000056191653,0.00019294341,0.00024038697,0.0027480698],"study_design_candidate":"not_applicable","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":[0.0000015889309,0.0000039023566,0.000009794155,0.0000011495041,0.000009155949,0.0000013972763,0.000015452173,0.000029432003,0.0000016893279,0.47581002,0.14086558,0.38325083],"study_design_scores_gemma":[0.00006432328,0.000018482462,0.000028645898,0.0000107697515,0.000008625732,0.0000021258281,0.0000069518683,0.008105878,0.000013305884,0.18272538,0.8088043,0.00021123423],"about_ca_topic_score_codex":0.00003676948,"about_ca_topic_score_gemma":0.000023301825,"teacher_disagreement_score":0.6679387,"about_ca_system_score_codex":0.000043811473,"about_ca_system_score_gemma":0.000042419302,"threshold_uncertainty_score":0.9980284},"labels":[],"label_agreement":null},{"id":"W4238442885","doi":"10.1109/pads.1995.404310","title":"Clustered time warp and logic simulation","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Running time; Parallel computing; Algorithm; Point (geometry); Execution time; Logic gate; Mathematics","score_opus":0.27390821825939266,"score_gpt":0.4359958345809218,"score_spread":0.16208761632152913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238442885","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":[0.1305565,0.0001310094,0.56804854,0.008357623,0.000055857825,0.00065918145,0.000009558916,0.0005742479,0.2916075],"genre_scores_gemma":[0.96297586,0.000004196742,0.0048062615,0.0005959245,0.00002403685,0.000005872003,0.0000012256313,0.0000034060506,0.031583216],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991232,0.00003084556,0.00024918735,0.00021700977,0.00030052493,0.000079229096],"domain_scores_gemma":[0.99885976,0.0006438074,0.000060397077,0.00028089355,0.000105158695,0.000049963928],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033907816,0.000053480035,0.00008455442,0.00008774732,0.00010088216,0.000116529445,0.00014379175,0.000043899465,0.008538083],"category_scores_gemma":[0.00027764295,0.000036625595,0.000027104676,0.0002988751,0.00003298399,0.00015480796,0.000050867435,0.000031459014,0.0019475283],"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":[0.00001099779,0.00017005621,0.0052534356,0.0000023149294,0.000009378053,0.0000015960937,0.00059942907,0.03572641,0.0016027157,0.05378458,0.11413718,0.7887019],"study_design_scores_gemma":[0.000098587276,0.000016062062,0.0021283017,7.721179e-7,0.0000016472184,0.000001077739,0.000019183466,0.8864598,0.000100888545,0.059583392,0.05153187,0.000058407153],"about_ca_topic_score_codex":0.0000032142148,"about_ca_topic_score_gemma":9.323554e-7,"teacher_disagreement_score":0.8507334,"about_ca_system_score_codex":0.000006933935,"about_ca_system_score_gemma":0.0000015535766,"threshold_uncertainty_score":0.99882954},"labels":[],"label_agreement":null},{"id":"W4238678704","doi":"10.12688/wellcomeopenres.16466.1","title":"Reproducible parallel inference and simulation of stochastic state space models using odin, dust, and mcstate","year":2020,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European and Developing Countries Clinical Trials Partnership; European Commission; Foreign, Commonwealth and Development Office; Medical Research Council Canada; Wellcome; Imperial College London; National Institute for Health and Care Research; National Institute for Health Research Health Protection Research Unit; Medical Research Council; London School of Hygiene and Tropical Medicine; Public Health England; Department of Health and Social Care","keywords":"Computer science; Inference; State space; Range (aeronautics); Code (set theory); Computation; Domain (mathematical analysis); Statistical inference; Theoretical computer science; Programming language; Artificial intelligence","score_opus":0.7142168418079649,"score_gpt":0.5799009318872588,"score_spread":0.13431590992070608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238678704","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":[0.19658923,0.00035368625,0.79401726,0.0028957534,0.000045052544,0.003472686,0.00016717747,0.00004756454,0.0024116158],"genre_scores_gemma":[0.9808163,0.00017938536,0.01736852,0.000026547068,0.000032150725,0.00009210008,0.000017525113,0.00002797073,0.0014394879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99470043,0.0005794273,0.0009635333,0.0016855904,0.0017084711,0.00036255806],"domain_scores_gemma":[0.9932242,0.0029213836,0.0004747231,0.0016822643,0.0014391082,0.00025831064],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007966286,0.00023176997,0.00061950885,0.0005618386,0.00033829955,0.0013068366,0.0016303298,0.00017367875,0.00011289084],"category_scores_gemma":[0.002827812,0.00020198947,0.00005335546,0.0011170035,0.00040072898,0.0004861495,0.0068737557,0.00084296433,0.000017238874],"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":[0.0000973823,0.00003707293,0.00039131948,0.000051902432,0.000014864046,0.0000018289547,0.00080400606,0.9866757,0.00035674724,0.0049440237,0.0003489559,0.006276237],"study_design_scores_gemma":[0.0001692871,0.000039268787,0.00047235523,0.000086338594,0.000005710769,6.1167475e-7,0.00014207559,0.6218369,0.0001344659,0.3767118,0.00027284597,0.00012834971],"about_ca_topic_score_codex":0.0016786963,"about_ca_topic_score_gemma":0.00002977724,"teacher_disagreement_score":0.7842271,"about_ca_system_score_codex":0.000061742554,"about_ca_system_score_gemma":0.00038637398,"threshold_uncertainty_score":0.99972993},"labels":[],"label_agreement":null},{"id":"W4238779011","doi":"10.1109/wsc.2013.6721661","title":"Application of the DEVS and Cell-DEVS formalisms for modeling networking applications","year":2013,"lang":"en","type":"article","venue":"2013 Winter Simulations Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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; Rotation formalisms in three dimensions; Computer science; Formalism (music); Distributed computing; Wireless sensor network; Computer network; Wireless; Base station; Discrete event simulation; Modeling and simulation; Wireless network; Simulation; Telecommunications","score_opus":0.10140522676053826,"score_gpt":0.3597790403946364,"score_spread":0.2583738136340981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238779011","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":[0.038781647,0.000054778546,0.9556905,0.0013451908,0.00007104101,0.002562761,0.00004926351,0.00007369295,0.0013711354],"genre_scores_gemma":[0.98593706,0.000008991725,0.011928459,0.0002847238,0.00011325612,0.0011910014,0.000030014875,0.000019610077,0.00048689643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788016,0.000048577644,0.00091274554,0.00047110775,0.00043482176,0.00025260114],"domain_scores_gemma":[0.9964294,0.0007085853,0.00043931376,0.0010108579,0.0013210594,0.00009077588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044300052,0.00018766095,0.00025112272,0.00018074474,0.0004754593,0.00029395774,0.00082310155,0.00012814086,0.00014400629],"category_scores_gemma":[0.000086398715,0.00013555348,0.00013820763,0.0006343173,0.00013922258,0.00056398934,0.00021365074,0.00013179315,0.00005803801],"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":[0.00002507895,0.00026128054,0.028315336,0.00005522638,0.00004298924,2.5611792e-8,0.0019512065,0.49291798,0.00805007,0.13408145,0.006282925,0.32801643],"study_design_scores_gemma":[0.00022335112,0.000014539836,0.0015827448,0.000013695904,0.000018786572,6.529018e-7,0.0002332363,0.8730537,0.0005948788,0.09694016,0.02717956,0.00014467874],"about_ca_topic_score_codex":0.000149235,"about_ca_topic_score_gemma":0.00007461647,"teacher_disagreement_score":0.9471554,"about_ca_system_score_codex":0.000027706023,"about_ca_system_score_gemma":0.00006323433,"threshold_uncertainty_score":0.55277103},"labels":[],"label_agreement":null},{"id":"W4238997488","doi":"10.1186/s41077-019-0110-0","title":"Selected abstracts from the 2019 Simulation Summit","year":2019,"lang":"en","type":"article","venue":"Advances in Simulation","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Schwartz/Reisman Emergency Medicine Institute; London Health Sciences Centre; NOSM University; The Wilson Centre; University of Toronto; Health Sciences North; University of Alberta; Laurentian University; St. Michael's Hospital; Western University","funders":"","keywords":"Summit; Health services research; Medicine; Public health; Nursing; Geography","score_opus":0.048202860659638025,"score_gpt":0.4198597456176755,"score_spread":0.37165688495803745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238997488","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":[0.9282979,0.00061602896,0.064802065,0.00042429255,0.00031312509,0.0009366869,0.00004384241,0.00014826506,0.004417834],"genre_scores_gemma":[0.9976951,0.00003603592,0.001092115,0.00025806855,0.00012256547,0.000017427945,0.00009698441,0.000015368738,0.0006663176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741215,0.00014909793,0.00083859504,0.0005141435,0.0008741055,0.00021190217],"domain_scores_gemma":[0.9899817,0.008347194,0.00039939873,0.0007919528,0.00043659384,0.00004312305],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009661911,0.00015209957,0.00021039197,0.00014890285,0.00012912127,0.00015819656,0.0005439495,0.0001141167,0.0007037154],"category_scores_gemma":[0.0015267612,0.00010641,0.00006589022,0.0015574419,0.000043685322,0.0012620665,0.00006108158,0.00018924642,0.0010940959],"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":[0.000022794888,0.000022335842,0.10074446,5.0122236e-7,0.0000018066241,1.5672347e-7,0.00010524222,0.8636314,0.00017125484,0.00058405125,0.00013200592,0.034583963],"study_design_scores_gemma":[0.00032642586,0.000017935998,0.2724376,0.000012801588,0.0000037510981,5.4688744e-8,0.00008049708,0.60159165,0.00029617234,0.043539513,0.08156428,0.00012929468],"about_ca_topic_score_codex":0.000100580764,"about_ca_topic_score_gemma":0.00019337283,"teacher_disagreement_score":0.26203975,"about_ca_system_score_codex":0.00006934855,"about_ca_system_score_gemma":0.000035828172,"threshold_uncertainty_score":0.9996837},"labels":[],"label_agreement":null},{"id":"W4239078054","doi":"10.1109/wsc.2013.6721506","title":"A DSM-based multi-paradigm simulation modeling approach for complex systems","year":2013,"lang":"en","type":"article","venue":"2013 Winter Simulations Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit Antwerpen; European Space Agency; National University of Defense Technology; National Natural Science Foundation of China; McGill University; U.S. Department of Defense","keywords":"Composability; Rotation formalisms in three dimensions; Computer science; Interoperability; Reusability; Modeling and simulation; Domain (mathematical analysis); Systems engineering; Modeling language; Software engineering; Systems modeling; Domain model; Distributed computing; Programming language; Simulation; Domain knowledge; Engineering; Software","score_opus":0.4155050648718056,"score_gpt":0.4381607912713803,"score_spread":0.022655726399574694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239078054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013960333,0.00002708679,0.98010445,0.0008480962,0.00015465784,0.0033489978,0.00015667581,0.00034350262,0.0010561972],"genre_scores_gemma":[0.9288696,7.8570645e-7,0.06838674,0.0003628895,0.00013264861,0.0008420962,0.0003101949,0.00004434004,0.0010507153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99617213,0.00015594072,0.0014183251,0.0009508271,0.00082117715,0.00048162253],"domain_scores_gemma":[0.9946046,0.0013784867,0.00044224958,0.0013112363,0.0020442351,0.00021918137],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007155366,0.00037195857,0.00052289,0.00058591936,0.0005408384,0.0012523105,0.000997559,0.00022983624,0.0009553337],"category_scores_gemma":[0.0004552285,0.00031586457,0.0002650542,0.0007449897,0.00012139447,0.0009739694,0.00010655549,0.00019146607,0.00043316587],"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":[0.000012557295,0.00015519686,0.0009778123,0.000011091004,0.000014351585,5.9323416e-8,0.00017945321,0.9889432,0.00031031432,0.004760293,0.001691607,0.002944058],"study_design_scores_gemma":[0.0009094126,0.00004740654,0.0010126523,0.000023823666,0.000023924047,7.176155e-7,0.00025632966,0.9801752,0.000029711558,0.008308183,0.008830729,0.00038191903],"about_ca_topic_score_codex":0.0003045504,"about_ca_topic_score_gemma":0.000027649568,"teacher_disagreement_score":0.91490924,"about_ca_system_score_codex":0.00009617679,"about_ca_system_score_gemma":0.00012830934,"threshold_uncertainty_score":0.9999579},"labels":[],"label_agreement":null},{"id":"W4239228490","doi":"10.1007/978-1-4939-7131-2_100947","title":"Random Processes","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.17924840131616343,"score_gpt":0.4241549330822602,"score_spread":0.24490653176609678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239228490","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005671689,0.00008877777,0.04603147,0.0003849812,0.00005999937,0.0002985815,0.000020959364,0.00018731879,0.9529222],"genre_scores_gemma":[0.0019025749,0.000047558013,0.0029229391,0.00040082415,0.00026908165,0.000021127767,0.000011191855,0.000020302228,0.9944044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981078,0.00000662775,0.000520879,0.00043872726,0.00083316816,0.00009278765],"domain_scores_gemma":[0.99707437,0.0008792606,0.00025458375,0.00072133995,0.0010064841,0.00006396929],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005897866,0.00015476302,0.00026844523,0.00019111023,0.00010447579,0.00018203339,0.0006283877,0.00019334762,0.06900979],"category_scores_gemma":[0.0005745179,0.00009985063,0.00011158357,0.000101663165,0.000121050674,0.00008359916,0.00009822738,0.000091170434,0.010131614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012971293,0.000007298798,0.0000073186106,0.0000045769802,0.000009662042,6.264025e-7,0.000046099158,0.000002372468,0.0000034333775,0.2461239,0.7273331,0.026448622],"study_design_scores_gemma":[0.000073018855,0.00000981461,0.000001589145,0.000008299804,0.0000046496825,9.4687823e-7,0.0000044112944,0.000024819095,0.00010476358,0.43366587,0.56602305,0.00007878685],"about_ca_topic_score_codex":0.0000021130202,"about_ca_topic_score_gemma":0.000014723386,"teacher_disagreement_score":0.18754198,"about_ca_system_score_codex":0.000012649502,"about_ca_system_score_gemma":0.00010440348,"threshold_uncertainty_score":0.9906391},"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},{"id":"W4239450668","doi":"10.1007/978-3-030-51909-4","title":"Simulation for Cyber-Physical Systems Engineering","year":2020,"lang":"en","type":"book","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cyber-physical system; Cloud computing; Systems engineering; Computer science; Range (aeronautics); Engineering; Engineering management; Aerospace engineering","score_opus":0.1832507616628083,"score_gpt":0.5189128262442666,"score_spread":0.3356620645814583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239450668","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":[0.000011724957,0.00032121217,0.97617173,0.00055772736,0.00020276952,0.005383543,0.0004944823,0.00048729678,0.016369533],"genre_scores_gemma":[0.07637719,0.000098504905,0.5648138,0.0007423206,0.007579251,0.013146912,0.005336805,0.0005631438,0.3313421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951202,0.00023892919,0.0018248502,0.0014830622,0.0009718291,0.00036107437],"domain_scores_gemma":[0.97419333,0.02144586,0.0012077366,0.0012645005,0.0015608914,0.00032767092],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0022176702,0.000589066,0.0009459717,0.0006319048,0.00085694884,0.0010407657,0.00069929875,0.0004869185,0.000097091855],"category_scores_gemma":[0.0032902965,0.0005745512,0.00043086463,0.00094368483,0.00015190066,0.00048677705,0.00019236148,0.00044432268,0.00020877326],"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":[0.000012792416,0.000037677684,0.000006328089,0.0000494133,0.00004365589,7.3587515e-8,0.0000958062,0.66427565,0.000045875866,0.2511671,0.0019571718,0.082308434],"study_design_scores_gemma":[0.00022848725,0.0000239546,0.000017111048,0.00001654095,0.0000893327,4.626604e-7,0.00002305958,0.45850462,0.000007386363,0.093237855,0.4475773,0.00027388762],"about_ca_topic_score_codex":0.0000043965633,"about_ca_topic_score_gemma":9.787941e-7,"teacher_disagreement_score":0.44562015,"about_ca_system_score_codex":0.0002408836,"about_ca_system_score_gemma":0.00031049125,"threshold_uncertainty_score":0.99999624},"labels":[],"label_agreement":null},{"id":"W4239504232","doi":"10.4018/9781609601959.ch313","title":"Modelling and Simulation in Biomedical Research","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.3409432777097051,"score_gpt":0.46760480078191186,"score_spread":0.12666152307220674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239504232","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000821571,0.00012669899,0.05367457,0.000081947015,0.00005384029,0.00044082646,0.0000464312,0.00006493811,0.94468915],"genre_scores_gemma":[0.9486225,0.000007689715,0.0019008613,0.0000625522,0.00010371068,0.00001939452,0.0000030493336,0.000018230648,0.049261983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99696225,0.00005700913,0.0007064958,0.0006405281,0.0013840962,0.00024963694],"domain_scores_gemma":[0.9980114,0.0006715386,0.0001569419,0.00060151046,0.00039957833,0.00015901224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019125083,0.00017872136,0.00030170465,0.00043128323,0.00013028872,0.00014057911,0.0004595371,0.00045835733,0.0001643897],"category_scores_gemma":[0.00017385502,0.00015203826,0.00007502023,0.000116766256,0.00027942576,0.000060566916,0.00024634492,0.00038754538,0.00023730102],"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":[0.000013761732,0.000007910591,0.000028223718,0.0000023145872,0.0000033231167,0.000005029878,0.00007410852,0.0035284848,0.0000012966193,0.9667641,0.0005862372,0.028985221],"study_design_scores_gemma":[0.000100586694,0.00002968643,0.000020636839,0.0000448079,0.0000034456618,0.00000204972,0.0000103150305,0.084196985,0.000003298071,0.82886255,0.0866027,0.0001229352],"about_ca_topic_score_codex":0.0001740345,"about_ca_topic_score_gemma":0.000032276792,"teacher_disagreement_score":0.94780093,"about_ca_system_score_codex":0.00011654086,"about_ca_system_score_gemma":0.00011363505,"threshold_uncertainty_score":0.61999404},"labels":[],"label_agreement":null},{"id":"W4239600106","doi":"10.1186/s41077-018-0076-3","title":"Selected abstracts from the 2018 Simulation Summit","year":2018,"lang":"en","type":"article","venue":"Advances in Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Summit; Health services research; Medicine; Public health; Nursing; Geography; Physical geography","score_opus":0.08525609507053507,"score_gpt":0.4492128847648782,"score_spread":0.36395678969434314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239600106","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":[0.6515261,0.0004655343,0.33940005,0.00076787797,0.0006063114,0.00080573553,0.00004133057,0.00024221788,0.006144854],"genre_scores_gemma":[0.9963922,0.000023222607,0.0023664427,0.00033783892,0.00047267857,0.000024724268,0.000043034346,0.00001483852,0.00032502195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974341,0.00015656835,0.00085899816,0.00050377275,0.0008211386,0.00022543044],"domain_scores_gemma":[0.9917027,0.0063688117,0.00039633896,0.000762748,0.000717383,0.00005202435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010304863,0.00015142537,0.00018011336,0.00015170818,0.00030501938,0.00017162424,0.0005532538,0.00011242551,0.0005409917],"category_scores_gemma":[0.0030228063,0.00010550342,0.000054376018,0.0018865432,0.0001648548,0.0011512242,0.00006507734,0.00014934798,0.00055702426],"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":[0.000033207987,0.000029938441,0.042794358,3.8950103e-7,0.0000022732236,2.3325872e-7,0.0002353968,0.8786675,0.00012230156,0.00047798146,0.00046184266,0.077174634],"study_design_scores_gemma":[0.00024681134,0.000031126474,0.20791292,0.000011322249,0.0000047389935,7.0900384e-8,0.00009387439,0.5912912,0.0006063388,0.072667524,0.12700939,0.00012465991],"about_ca_topic_score_codex":0.00010982789,"about_ca_topic_score_gemma":0.00074310735,"teacher_disagreement_score":0.3448661,"about_ca_system_score_codex":0.00007196385,"about_ca_system_score_gemma":0.00003563089,"threshold_uncertainty_score":0.71596056},"labels":[],"label_agreement":null},{"id":"W4239774883","doi":"10.22360/springsim.2017.anss.025","title":"Towards the Design of An Interoperable Multi-Cloud Distributed Simulation System","year":2017,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interoperability; Computer science; Cloud computing; Distributed computing; Operating system","score_opus":0.33877060776901974,"score_gpt":0.46144492986677554,"score_spread":0.1226743220977558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239774883","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":[0.031104583,0.000004848179,0.96622187,0.00040357295,0.00009014269,0.0003965135,0.000026172887,0.00008595281,0.0016663342],"genre_scores_gemma":[0.9850525,6.5588574e-7,0.013945958,0.000031334825,0.000039477505,0.000023995468,0.000005292245,0.0000055996575,0.00089516584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862355,0.00015193806,0.00045007915,0.00022942318,0.00044559667,0.00009938537],"domain_scores_gemma":[0.9972081,0.00045908624,0.0003382941,0.0014634265,0.00048237905,0.00004870562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019272562,0.000077055,0.00015051167,0.000043922308,0.00056165725,0.0003998233,0.001243642,0.000051261824,0.00014836324],"category_scores_gemma":[0.0009959894,0.000039644405,0.000055834225,0.0001375733,0.000103426624,0.00035095512,0.00012693132,0.00005411897,0.000056050314],"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":[0.00007812477,0.00028404026,0.0031818212,0.000010479458,0.000028405348,0.0000014411426,0.000737048,0.80193293,0.0025878197,0.056463502,0.0039243884,0.13076998],"study_design_scores_gemma":[0.00017735557,0.00003282106,0.008588434,0.000008122387,0.0000054090015,7.289991e-7,0.0005021675,0.9808863,0.0046747886,0.0017681716,0.0032977983,0.0000579276],"about_ca_topic_score_codex":0.00019381578,"about_ca_topic_score_gemma":0.000014492378,"teacher_disagreement_score":0.95394796,"about_ca_system_score_codex":0.000025876734,"about_ca_system_score_gemma":0.000029397219,"threshold_uncertainty_score":0.43198702},"labels":[],"label_agreement":null},{"id":"W4239982110","doi":"10.22215/etd/2014-10423","title":"Using the Coalition Battle Management Language Standard for Interacting with the Restful Interoperability Simulation Environment","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Interoperability; Computer science; Architecture; Modeling language; Software engineering; Battle; Set (abstract data type); Discrete event simulation; Compiler; Construct (python library); Event (particle physics); Modeling and simulation; Programming language; World Wide Web; Simulation; Software","score_opus":0.12455188825600641,"score_gpt":0.46842774236244966,"score_spread":0.3438758541064433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239982110","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":[0.14459898,0.000023697603,0.8468739,0.00076404936,0.00020015535,0.00199498,0.000042547555,0.000065261964,0.005436449],"genre_scores_gemma":[0.98427016,0.0000036560725,0.00802979,0.0001550652,0.00010409106,0.00028082955,0.00022720417,0.0000277586,0.0069014425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977,0.00019932602,0.00057172816,0.0005019823,0.0008646386,0.0001623751],"domain_scores_gemma":[0.99508566,0.0031871973,0.00050956156,0.0009481094,0.00023767733,0.00003182667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023004261,0.00019999662,0.00022079372,0.00009626587,0.0005378392,0.00039422794,0.0005639451,0.00008827569,0.0004766262],"category_scores_gemma":[0.0003256131,0.000091130496,0.00012670999,0.00019573455,0.00006151822,0.00014463394,0.000061987506,0.00017947341,0.000022607346],"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":[0.001896876,0.00021714058,0.00064582785,0.00016050317,0.00027468294,0.0000014774214,0.014258613,0.50260156,0.0011336409,0.023242937,0.015058221,0.44050848],"study_design_scores_gemma":[0.00092330656,0.00029280034,0.0031946616,0.00026379622,0.0003175924,0.0000020223733,0.08780336,0.5719421,0.00500594,0.0079179155,0.32163686,0.0006996904],"about_ca_topic_score_codex":0.000048973725,"about_ca_topic_score_gemma":0.00015591271,"teacher_disagreement_score":0.8396712,"about_ca_system_score_codex":0.00014282312,"about_ca_system_score_gemma":0.000020412906,"threshold_uncertainty_score":0.5218723},"labels":[],"label_agreement":null},{"id":"W4240092454","doi":"10.1109/pads.2001.924619","title":"The dependence list in time warp","year":2002,"lang":"en","type":"article","venue":"","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":"McGill University","funders":"","keywords":"Computer science; Causality (physics); Process (computing); Workstation; Speedup; Reduction (mathematics); Parallel computing; Function (biology); Real-time computing; Distributed computing; Event (particle physics); Computer engineering; Programming language; Operating system","score_opus":0.14738930365953304,"score_gpt":0.40780453403904837,"score_spread":0.2604152303795153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240092454","genre_codex":"other","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":[0.15792584,0.00025389958,0.022555705,0.025406828,0.00008583506,0.00057930435,0.0000044779044,0.00029604472,0.79289204],"genre_scores_gemma":[0.90506154,0.000015326983,0.000766357,0.0002862113,0.000013066093,0.000015820906,1.7590301e-7,0.0000019217075,0.0938396],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903935,0.00003220602,0.00023267283,0.00014640865,0.00045913665,0.00009024866],"domain_scores_gemma":[0.99847496,0.0010082966,0.000038293987,0.00039348128,0.000057769616,0.00002719179],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085590244,0.000034176344,0.000047621015,0.000045365137,0.00013267723,0.00019259987,0.0006165229,0.000023709114,0.005031099],"category_scores_gemma":[0.0004357353,0.000017703756,0.00002564676,0.00049536506,0.000040492596,0.00009017318,0.000060700724,0.000049518316,0.0034990578],"study_design_candidate":"not_applicable","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":[0.0000036390663,0.00009784488,0.026372831,2.2956087e-7,0.0000017484551,0.00000207784,0.00023914807,0.00020475368,0.00056851335,0.0953003,0.41007295,0.46713597],"study_design_scores_gemma":[0.00009638988,0.000011472328,0.012908414,0.0000019652628,6.5437973e-7,0.000002502092,0.00008411965,0.14167453,0.00091547455,0.11894613,0.7252724,0.00008591344],"about_ca_topic_score_codex":0.000036014182,"about_ca_topic_score_gemma":0.00006637142,"teacher_disagreement_score":0.7471357,"about_ca_system_score_codex":0.000009608751,"about_ca_system_score_gemma":0.0000028775717,"threshold_uncertainty_score":0.99727684},"labels":[],"label_agreement":null},{"id":"W4240438089","doi":"10.22215/etd/2006-07924","title":"Web service-based distributed simulation of discrete event models","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"Event (particle physics); Computer science; Service (business); Web application; Web service; World Wide Web; Physics; Business","score_opus":0.08311265066101677,"score_gpt":0.420705041494191,"score_spread":0.33759239083317427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240438089","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":[0.07411039,0.00005411745,0.89906865,0.0004042322,0.00016919366,0.0010756417,0.0010715541,0.000252784,0.023793451],"genre_scores_gemma":[0.98125,0.0000021109984,0.0019512268,0.00008929392,0.00004566276,0.000088802124,0.008676906,0.000030195983,0.007865813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99607027,0.00008611188,0.0014751351,0.00058766396,0.0015884439,0.00019238402],"domain_scores_gemma":[0.9953822,0.00088544737,0.0010130869,0.00095127034,0.0016899176,0.00007810354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066285103,0.00027645341,0.0004813268,0.00041310038,0.000125278,0.00011955038,0.0006984403,0.00034730864,0.00073464896],"category_scores_gemma":[0.00018248837,0.00021695638,0.00029087736,0.0014769289,0.00002269247,0.00022758081,0.000030083926,0.00015614484,0.00006432263],"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":[0.000039447645,0.0000710763,0.000121400626,0.00002228247,0.00000770496,1.6968528e-7,0.000033409404,0.98968565,0.00030352207,0.0037328352,0.0027485322,0.0032339576],"study_design_scores_gemma":[0.0002652927,0.000020645562,0.0018399901,0.000046272497,0.000034620683,5.4227012e-8,0.00013755604,0.92255825,0.0027841402,0.06651303,0.0055744573,0.00022571636],"about_ca_topic_score_codex":0.00025952383,"about_ca_topic_score_gemma":0.00074973115,"teacher_disagreement_score":0.9071396,"about_ca_system_score_codex":0.00006204462,"about_ca_system_score_gemma":0.00024192988,"threshold_uncertainty_score":0.8847225},"labels":[],"label_agreement":null},{"id":"W4240613626","doi":"10.1007/978-0-387-39940-9_2259","title":"Conceptual Modeling","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.13206148457922218,"score_gpt":0.36760461285377677,"score_spread":0.2355431282745546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240613626","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007204242,0.001587541,0.049733374,0.00006198475,0.00043568772,0.0007310676,0.0016287159,0.00012084715,0.94562876],"genre_scores_gemma":[0.026234884,0.00110419,0.0026791878,0.00006826314,0.0009051653,0.000042051073,0.00070084794,0.00006184607,0.96820354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99556404,0.000054287913,0.0017311503,0.0007298333,0.0017151213,0.00020554496],"domain_scores_gemma":[0.9959217,0.0006005641,0.0008774808,0.0018290252,0.00061856856,0.00015269809],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013181517,0.00032653238,0.00075378176,0.00039307596,0.00009806394,0.00007374776,0.0010135153,0.00029034045,0.0007843634],"category_scores_gemma":[0.00038299395,0.00026963672,0.00022716868,0.000133072,0.00013033063,0.00025442132,0.00017651687,0.00030511874,0.000603806],"study_design_candidate":"not_applicable","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":[0.000008953215,0.000024700565,0.000013584484,0.000015669959,0.000023149521,0.000006935434,0.00015824115,0.0031682241,0.000019439623,0.9107097,0.06798767,0.017863758],"study_design_scores_gemma":[0.00012984744,0.00003517703,0.0000014686628,0.00018836051,0.000031575215,0.0000057281895,0.0001495323,0.015309882,0.000006734001,0.02169996,0.962146,0.00029573977],"about_ca_topic_score_codex":0.000078661906,"about_ca_topic_score_gemma":0.00000768251,"teacher_disagreement_score":0.8941583,"about_ca_system_score_codex":0.00004295751,"about_ca_system_score_gemma":0.00016219432,"threshold_uncertainty_score":0.99997556},"labels":[],"label_agreement":null},{"id":"W4240904317","doi":"10.1109/wsc.2004.1371478","title":"Evaluating the Performance of Supply Chain Simulations with Tradeoffs Between Multiple Obljectives","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Supply chain; Computer science; Range (aeronautics); Industrial engineering; Risk analysis (engineering); Operations research; Engineering; Business","score_opus":0.14183871200358608,"score_gpt":0.4030507291514511,"score_spread":0.261212017147865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240904317","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":[0.98682946,0.000033100914,0.0085955495,0.0017836378,0.000038190214,0.000993667,0.000057877292,0.000061705556,0.0016068394],"genre_scores_gemma":[0.9949844,0.0000016945111,0.0035636974,0.0000806575,0.00015505745,0.0000384282,0.000005152897,0.000020689813,0.0011502468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968531,0.000049902894,0.0010905975,0.00044190855,0.0013057417,0.0002587377],"domain_scores_gemma":[0.9948735,0.0015331422,0.0010533797,0.00046042533,0.002016336,0.00006319129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413022,0.00023347193,0.00036908805,0.00025694747,0.00038188792,0.00014964286,0.0011970485,0.00010336255,0.00024228664],"category_scores_gemma":[0.00094422256,0.0001287444,0.00016110949,0.0012591938,0.00035051652,0.0007246714,0.00014208037,0.00024458228,0.00001377885],"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":[0.00009382209,0.000087134125,0.3960504,0.000015528742,0.000040056788,8.6806695e-9,0.0021441814,0.5741182,0.0036387867,0.0014828275,0.0002154719,0.022113577],"study_design_scores_gemma":[0.0006444702,0.00022497673,0.15281726,0.00011845607,0.00005126023,0.0000010224372,0.00042312764,0.82016426,0.021302503,0.0027593079,0.0013172379,0.00017608544],"about_ca_topic_score_codex":0.000018892439,"about_ca_topic_score_gemma":0.000015304195,"teacher_disagreement_score":0.24604607,"about_ca_system_score_codex":0.00006324896,"about_ca_system_score_gemma":0.000115370305,"threshold_uncertainty_score":0.52500445},"labels":[],"label_agreement":null},{"id":"W4240914176","doi":"10.1007/978-1-4939-7131-2_100687","title":"Monte Carlo Algorithm","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Monte Carlo method; Computer science; Algorithm; Mathematics; Statistics","score_opus":0.16345904297325628,"score_gpt":0.4142456811710359,"score_spread":0.2507866381977796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240914176","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005543267,0.000065091466,0.058756493,0.00034928325,0.00013555738,0.00025144455,0.00006993035,0.00020258721,0.9401641],"genre_scores_gemma":[0.00050997356,0.000024965013,0.02340944,0.00046177694,0.0003757679,0.000014144785,0.0000048598868,0.00002715225,0.9751719],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977442,0.000008894532,0.0005788757,0.00054443337,0.0009964503,0.00012714766],"domain_scores_gemma":[0.99761343,0.00031917947,0.0002493693,0.0011067009,0.0006128996,0.000098429184],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00056439673,0.00019176671,0.0002813938,0.00023246737,0.00011348805,0.00017107537,0.0007268443,0.00027292417,0.042789638],"category_scores_gemma":[0.00007997924,0.00013612543,0.00020293007,0.00007409047,0.00012504197,0.0000835792,0.00016608357,0.00014534808,0.010099281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.606742e-7,0.0000043960813,0.0000025836787,3.6183042e-7,0.000008850921,0.0000012848644,0.000028941078,0.0000040696623,9.1241753e-7,0.12261758,0.56242526,0.31490493],"study_design_scores_gemma":[0.000028827071,0.000016321406,0.0000073108613,0.000005334834,0.000005900673,0.0000017717251,0.000008367393,0.0028416226,0.000020771593,0.30532083,0.69162047,0.00012250167],"about_ca_topic_score_codex":0.000020277865,"about_ca_topic_score_gemma":0.000016516975,"teacher_disagreement_score":0.3147824,"about_ca_system_score_codex":0.00003055682,"about_ca_system_score_gemma":0.00004495369,"threshold_uncertainty_score":0.99067146},"labels":[],"label_agreement":null},{"id":"W4241220256","doi":"10.4018/978-1-59904-937-3.ch031","title":"The Game of Defense and Security","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Scope (computer science); Computer security; Engineering; Computer science; Engineering management; World Wide Web","score_opus":0.06679472827623949,"score_gpt":0.3510667575430957,"score_spread":0.2842720292668562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241220256","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010887604,0.00064805656,0.00031497632,0.00012706232,0.00005812978,0.0002898273,0.00013559092,0.000049383216,0.9972882],"genre_scores_gemma":[0.9202992,0.00008910274,0.00022440044,0.00017555594,0.00006871803,0.000011501586,8.927138e-7,0.000012459955,0.07911821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982665,0.000021346057,0.0005473159,0.00032943292,0.00071061135,0.00012480364],"domain_scores_gemma":[0.9979992,0.0005023781,0.00036995683,0.0007431951,0.00030472854,0.000080535705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000385043,0.00016311287,0.00027208778,0.000041707615,0.00016495932,0.00007989585,0.0004707388,0.00019612363,0.000032028525],"category_scores_gemma":[0.00014473734,0.00010410911,0.00015048958,0.0000305393,0.00038065063,0.000022064934,0.00017595048,0.00013488278,0.00006190157],"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":[0.000008054651,0.0000022138959,0.000030026851,0.0000010662163,0.000008205591,0.0000017323225,0.000053521853,9.242816e-7,0.0000016804523,0.9698018,0.01230901,0.017781766],"study_design_scores_gemma":[0.000050292012,0.000015518537,0.00007919555,0.000009413582,0.000007309958,0.000015273412,0.0000080003465,0.000038088136,0.000022172308,0.6356277,0.3640559,0.00007115098],"about_ca_topic_score_codex":0.000026701862,"about_ca_topic_score_gemma":0.00004029936,"teacher_disagreement_score":0.9192104,"about_ca_system_score_codex":0.000029325849,"about_ca_system_score_gemma":0.00007712761,"threshold_uncertainty_score":0.42454463},"labels":[],"label_agreement":null},{"id":"W4241221065","doi":"10.1007/978-1-84628-622-3_6","title":"Experimentation and Output Analysis","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Process (computing); Data mining; Programming language","score_opus":0.33245349285011294,"score_gpt":0.49580169385285533,"score_spread":0.1633482010027424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241221065","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000088934416,0.00011183733,0.16921856,0.0001307888,0.000019465862,0.00014468051,0.000010459286,0.00006741389,0.8302079],"genre_scores_gemma":[0.04425414,0.000034195407,0.006991611,0.00033641953,0.000048332466,0.000006842751,0.000031365435,0.000010660272,0.9482864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983298,0.00000665896,0.00050491624,0.00040810686,0.0006763926,0.00007410513],"domain_scores_gemma":[0.9986706,0.00036161745,0.0002228313,0.0004679383,0.00020604361,0.00007096384],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062147644,0.00012571523,0.00025306008,0.0007889668,0.000080101665,0.00014331745,0.00018755799,0.00015947764,0.004470166],"category_scores_gemma":[0.000039391667,0.00009511032,0.00015669361,0.0002045737,0.000060107202,0.00007309289,0.00006418443,0.0000739887,0.00028246013],"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":[0.0000037881389,0.0000069982543,0.00031360032,6.048089e-7,0.00011276268,9.563148e-7,0.000108070984,0.000036222857,0.000010712294,0.802061,0.011581074,0.18576421],"study_design_scores_gemma":[0.00006459305,0.000015458107,0.00095073757,0.0000025552347,0.00016250629,7.9885547e-7,0.00008042826,0.0017753751,0.00019630067,0.21805951,0.7784985,0.00019323894],"about_ca_topic_score_codex":0.000017458433,"about_ca_topic_score_gemma":0.00002715657,"teacher_disagreement_score":0.7669174,"about_ca_system_score_codex":0.000021303835,"about_ca_system_score_gemma":0.0000112837015,"threshold_uncertainty_score":0.9964399},"labels":[],"label_agreement":null},{"id":"W4241376683","doi":"10.22215/etd/2007-07896","title":"New algorithms for the parallel CD++ simulation environment","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Algorithm","score_opus":0.1687410395747133,"score_gpt":0.488560216346189,"score_spread":0.31981917677147575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241376683","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013099164,0.0002390208,0.9808551,0.00053209456,0.00030187506,0.0016071261,0.00002081666,0.00009563764,0.016217342],"genre_scores_gemma":[0.08191681,0.00013353382,0.20505814,0.00060293695,0.00092687615,0.0004843835,0.00091055327,0.00007433424,0.70989245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971756,0.000024934434,0.0008332805,0.00055657263,0.0011903231,0.00021929204],"domain_scores_gemma":[0.9944497,0.003939666,0.00043891193,0.0008614457,0.00020906015,0.00010126842],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001377649,0.00022358981,0.00024509596,0.00019414237,0.00035557966,0.00023829442,0.00078348845,0.00028778764,0.003020501],"category_scores_gemma":[0.00033772158,0.00013363214,0.00027335642,0.00031740792,0.000021190248,0.000115059454,0.000029265582,0.00015533139,0.0004385702],"study_design_candidate":"design_other","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":[0.000050857452,0.000028052309,0.00002530326,0.0000028608474,0.00002154668,1.5464994e-7,0.0002351657,0.084179215,0.00002889378,0.011925199,0.038505994,0.86499673],"study_design_scores_gemma":[0.0002465935,0.0000347847,0.0030448914,0.0000057860784,0.000044491764,3.484151e-7,0.00068640994,0.19201365,0.00031543954,0.07717918,0.7262037,0.00022474771],"about_ca_topic_score_codex":0.00008002569,"about_ca_topic_score_gemma":0.00006863751,"teacher_disagreement_score":0.864772,"about_ca_system_score_codex":0.000055075754,"about_ca_system_score_gemma":0.00008213505,"threshold_uncertainty_score":0.9978909},"labels":[],"label_agreement":null},{"id":"W4241512366","doi":"10.1007/978-1-4614-6170-8_100376","title":"Monte Carlo Methods","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Monte Carlo method; Statistical physics; Computer science; Physics; Mathematics; Statistics","score_opus":0.287361602559449,"score_gpt":0.5275973660171815,"score_spread":0.24023576345773257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241512366","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000010122614,0.00005506505,0.3717081,0.00041086928,0.00007393313,0.00014962295,0.000008125266,0.00012919735,0.62746406],"genre_scores_gemma":[0.0013968463,0.000017487237,0.11167765,0.0006544227,0.00014283278,0.000015811396,0.0000020794635,0.000025379823,0.8860675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979067,0.00004688479,0.0006605372,0.0005320876,0.00073692686,0.00011686158],"domain_scores_gemma":[0.9964867,0.0014548842,0.0003035486,0.0012702056,0.00038556315,0.000099055644],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020283086,0.00019281356,0.00037921322,0.00024863172,0.00009428908,0.00014957278,0.0007602949,0.00028496564,0.010943547],"category_scores_gemma":[0.0003289325,0.00013350301,0.00025617526,0.00006763771,0.000070673515,0.00004174246,0.00015775135,0.00018928225,0.0023780295],"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":[6.668999e-7,0.0000011343122,0.0000024651852,4.3834615e-7,0.0000044609665,1.7680658e-7,0.000007389284,0.00002966225,0.000004238747,0.6135412,0.09038978,0.29601842],"study_design_scores_gemma":[0.000023047109,0.000008621151,0.000009106982,0.000004088424,0.0000073268247,9.812923e-7,0.00000282838,0.0021338058,0.000046832545,0.3424431,0.65520823,0.00011202849],"about_ca_topic_score_codex":0.000018700703,"about_ca_topic_score_gemma":0.000011010433,"teacher_disagreement_score":0.56481844,"about_ca_system_score_codex":0.000024080113,"about_ca_system_score_gemma":0.00003094669,"threshold_uncertainty_score":0.9983987},"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":"W4241900800","doi":"10.1007/978-3-319-16106-8_2","title":"Unified Modeling Language","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); École de Technologie Supérieure; Concordia University","funders":"","keywords":"Computer science","score_opus":0.3944573592050408,"score_gpt":0.46603649743776704,"score_spread":0.07157913823272621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241900800","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000013950338,0.00015721537,0.14502437,0.0002664725,0.000045099343,0.00016074027,0.000020935491,0.00018594983,0.85412526],"genre_scores_gemma":[0.03624214,0.000009242589,0.0030289975,0.00019346249,0.0001209703,0.000006293843,0.000026838583,0.000023078368,0.96034896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807703,0.00000877527,0.00048160658,0.00037689268,0.00095920096,0.00009648574],"domain_scores_gemma":[0.9982272,0.0001749822,0.00014386869,0.0008698096,0.00048123897,0.000102892314],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008488571,0.00014649844,0.00023318265,0.00021645662,0.000055791734,0.00011687247,0.00055877736,0.00021196736,0.0071070283],"category_scores_gemma":[0.00015410851,0.00010510727,0.00011360137,0.000062862564,0.000020791433,0.00007123569,0.00012665895,0.00015816488,0.0028626663],"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":[0.0000017750946,0.0000028530105,5.513465e-7,4.6364477e-7,0.000003919825,0.0000013974603,0.000057868612,0.002575897,0.00000604586,0.91066784,0.062123045,0.02455834],"study_design_scores_gemma":[0.00003550063,0.0000052330283,1.0862062e-7,0.000004718244,0.000004523842,9.2641454e-7,0.000051384002,0.06135568,0.0000065791573,0.49793345,0.44050094,0.00010094863],"about_ca_topic_score_codex":0.000024957742,"about_ca_topic_score_gemma":0.000015983942,"teacher_disagreement_score":0.4127344,"about_ca_system_score_codex":0.000034420107,"about_ca_system_score_gemma":0.000069924004,"threshold_uncertainty_score":0.9979137},"labels":[],"label_agreement":null},{"id":"W4242247328","doi":"10.1007/978-1-4939-7131-2_101268","title":"Stochastic Actor-Based Models","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.294036714139571,"score_gpt":0.42058932575701735,"score_spread":0.12655261161744635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242247328","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005143512,0.0000118725475,0.48659623,0.00019238173,0.000050028917,0.00020230182,0.000033830365,0.00013793391,0.5127703],"genre_scores_gemma":[0.05887743,0.0000014516421,0.0058767702,0.0006441936,0.00019592897,0.000023431396,0.000023897443,0.00003663436,0.9343203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99754643,0.000010144579,0.00058820273,0.00057979877,0.0011328099,0.00014262073],"domain_scores_gemma":[0.99701333,0.00076638634,0.00029076322,0.0012024583,0.0006115254,0.00011556227],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005185602,0.00022344154,0.00030027248,0.00032030453,0.00011714753,0.00016880213,0.0007823083,0.00029405745,0.038623273],"category_scores_gemma":[0.000114090915,0.0001608438,0.0002081909,0.00008074602,0.00014580382,0.00011186438,0.000096705895,0.00015292356,0.0049138316],"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":[0.000005977135,0.000010228226,3.6426763e-7,9.818538e-7,0.00000700036,4.1655295e-7,0.000019266317,0.0031002818,0.00000588685,0.85960877,0.12735008,0.009890749],"study_design_scores_gemma":[0.00005413907,0.000022886286,0.0000011390193,0.000012118855,0.000008418846,3.8741385e-7,0.0000036393894,0.06960296,0.000023416498,0.6739152,0.2562031,0.0001525994],"about_ca_topic_score_codex":0.000005185914,"about_ca_topic_score_gemma":0.000008508837,"teacher_disagreement_score":0.48071948,"about_ca_system_score_codex":0.00004125482,"about_ca_system_score_gemma":0.00011607332,"threshold_uncertainty_score":0.99586093},"labels":[],"label_agreement":null},{"id":"W4242574932","doi":"10.1109/wsc.1991.185629","title":"Object oriented simulation with Smalltalk-80: a case study","year":2002,"lang":"en","type":"article","venue":"1991 Winter Simulation Conference Proceedings.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières","funders":"","keywords":"Smalltalk; Object-oriented programming; Computer science; Object (grammar); Blackboard (design pattern); Discrete event simulation; Programming language; Set (abstract data type); Plan (archaeology); Method; Referent; Focus (optics); Software engineering; Artificial intelligence; Simulation","score_opus":0.17507791251725072,"score_gpt":0.4011099947236771,"score_spread":0.22603208220642637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242574932","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":[0.83261126,0.000011343126,0.1579934,0.00022388977,0.00008625614,0.0015050062,0.000011908339,0.00043737996,0.0071195457],"genre_scores_gemma":[0.9964377,0.0000013122776,0.001431328,0.00017455469,0.00013441104,0.00014541151,0.000008123169,0.00003773265,0.0016294126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597037,0.00006131212,0.0010879196,0.0010597483,0.0014341695,0.00038647308],"domain_scores_gemma":[0.9953228,0.0006969782,0.00056506146,0.0005387419,0.0026581485,0.00021823678],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088442396,0.00037871493,0.00042563427,0.0005283748,0.0004869221,0.0008485587,0.00053165713,0.00014257384,0.0020628506],"category_scores_gemma":[0.0008184064,0.00028406997,0.000117973854,0.0018152556,0.00011884294,0.001268218,0.00015444346,0.00028674482,0.00032281684],"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":[0.00037679,0.0026817697,0.36197233,0.0000334255,0.00018939043,0.00031447195,0.04771823,0.3875605,0.00027583816,0.005082374,0.002004575,0.1917903],"study_design_scores_gemma":[0.001122418,0.0005497646,0.0064672343,0.000032281612,0.000046729318,0.00010017255,0.008138155,0.9737736,0.00006507259,0.001463779,0.007821778,0.00041903625],"about_ca_topic_score_codex":0.00008676076,"about_ca_topic_score_gemma":0.00007261111,"teacher_disagreement_score":0.5862131,"about_ca_system_score_codex":0.00009152884,"about_ca_system_score_gemma":0.000024352905,"threshold_uncertainty_score":0.99996114},"labels":[],"label_agreement":null},{"id":"W4242757099","doi":"10.1007/978-94-007-0753-5_102295","title":"Lifetime Modeling","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Computer science","score_opus":0.1864445964159853,"score_gpt":0.40655048725554227,"score_spread":0.22010589083955698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242757099","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000019308802,0.000020690517,0.42209798,0.00037420716,0.00003181142,0.000098585224,0.000004840708,0.00011760915,0.5772523],"genre_scores_gemma":[0.017557956,0.000014740943,0.006069638,0.0006640335,0.00020416948,0.000008144462,0.000010357983,0.000025466565,0.9754455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800193,0.000008704994,0.00059799955,0.00044690055,0.0008448317,0.000099653524],"domain_scores_gemma":[0.99810356,0.00037368436,0.00017469375,0.0009304087,0.00033439984,0.00008326174],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00077286933,0.00015620913,0.00026611646,0.00021438218,0.00009091391,0.00014337624,0.0006101197,0.0002336851,0.012637061],"category_scores_gemma":[0.00014157404,0.0001126014,0.00017775642,0.000042884454,0.000031747346,0.00003910593,0.00012141109,0.00015287503,0.007835046],"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":[7.1429224e-7,0.000001263408,0.0000010646506,3.9942387e-7,0.0000028592206,1.4108645e-7,0.0000046144346,0.0013674662,0.0000018508924,0.91480994,0.040238984,0.043570675],"study_design_scores_gemma":[0.000015930967,0.0000042726415,2.6260994e-7,0.0000047984454,0.000003289209,5.073429e-7,0.0000010890728,0.120447166,0.000003994192,0.40519044,0.47424886,0.00007938162],"about_ca_topic_score_codex":0.000006140964,"about_ca_topic_score_gemma":0.0000032070766,"teacher_disagreement_score":0.50961953,"about_ca_system_score_codex":0.000016558868,"about_ca_system_score_gemma":0.00002967155,"threshold_uncertainty_score":0.99293745},"labels":[],"label_agreement":null},{"id":"W4242806241","doi":"10.1007/978-3-030-57870-1_3","title":"Simple Model Systems","year":2020,"lang":"en","type":"book-chapter","venue":"Graduate texts in physics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Simple (philosophy); Sophistication; Piecewise; Quantum; Curse of dimensionality; Computation; Constant (computer programming); Statistical physics; Computer science; Applied mathematics; Mathematics; Quantum mechanics; Physics; Algorithm; Mathematical analysis; Artificial intelligence","score_opus":0.29700935639577397,"score_gpt":0.40090631254449893,"score_spread":0.10389695614872496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242806241","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009279412,0.00014782895,0.107654326,0.0005443416,0.00018956143,0.0009807193,0.0003879299,0.00030425776,0.88969827],"genre_scores_gemma":[0.6394557,0.00009002215,0.0013496956,0.0004502857,0.00072725816,0.00009730627,0.00016476527,0.00012394846,0.35754105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969113,0.000025044152,0.0008694191,0.0007223098,0.0012741092,0.00019783442],"domain_scores_gemma":[0.9977962,0.00034447247,0.00045184375,0.0010204633,0.00027490957,0.00011212635],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042962303,0.00030848855,0.0005598957,0.00013965761,0.00009107101,0.00020081911,0.0008567003,0.0001986631,0.00006216957],"category_scores_gemma":[0.000083907114,0.00026950176,0.00020589109,0.00022794146,0.00008607966,0.00014119345,0.00022247402,0.00044734933,0.0011818123],"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":[0.0000034987609,0.000015253268,0.000009146017,0.00000872729,0.000008306393,0.0000034007112,0.000087066765,0.03956999,0.00000936658,0.8906784,0.036396924,0.033209905],"study_design_scores_gemma":[0.00006910589,0.000009822573,0.000007180796,0.000022839293,0.000008320705,4.6527802e-7,0.000008003305,0.24621013,0.000018530729,0.6717228,0.08172217,0.00020058517],"about_ca_topic_score_codex":0.000018371418,"about_ca_topic_score_gemma":0.0000033378683,"teacher_disagreement_score":0.6393629,"about_ca_system_score_codex":0.000074217205,"about_ca_system_score_gemma":0.00009674599,"threshold_uncertainty_score":0.99997574},"labels":[],"label_agreement":null},{"id":"W4243141097","doi":"10.1002/1099-1506(200010/12)7:7/8<489::aid-nla208>3.0.co;2-w","title":"Editorial","year":2000,"lang":"en","type":"editorial","venue":"Numerical Linear Algebra with Applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Applied mathematics; Calculus (dental); Orthodontics; Medicine","score_opus":0.02443248650506864,"score_gpt":0.36559506042489415,"score_spread":0.3411625739198255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243141097","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000027283327,0.00008746465,0.23227969,0.0006592548,0.7472914,0.0016980784,0.0009696808,0.00068823644,0.016323505],"genre_scores_gemma":[0.00019546958,0.00006068903,0.015380106,0.0001417995,0.9714566,0.0027741923,0.001244091,0.00012218508,0.0086248815],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9914507,0.00014935172,0.0013719765,0.0016589528,0.0048259967,0.0005429679],"domain_scores_gemma":[0.9898807,0.0045709144,0.0006948618,0.0026670396,0.001737076,0.00044943485],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00094767543,0.0005732561,0.0008582718,0.00037721437,0.0005455386,0.00045032916,0.0023594145,0.0012675545,0.0023276],"category_scores_gemma":[0.0011171945,0.0004181907,0.00030941708,0.0026712073,0.00028477883,0.00022721475,0.00017300587,0.0015259638,0.0062080026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053559957,0.00015506675,0.0000088163515,0.000004262463,0.00002497072,4.9365497e-7,0.00001574785,0.00021341511,0.0000024851888,0.0018242694,0.97643334,0.021263553],"study_design_scores_gemma":[0.0003527636,0.00011339135,0.000008109973,0.000013901002,0.000066683606,0.0000013526234,0.000012719501,0.00072810554,0.000017037148,0.016281117,0.9818851,0.00051973027],"about_ca_topic_score_codex":0.00006292201,"about_ca_topic_score_gemma":0.000007092752,"teacher_disagreement_score":0.22416522,"about_ca_system_score_codex":0.00012170045,"about_ca_system_score_gemma":0.0007318241,"threshold_uncertainty_score":0.99982697},"labels":[],"label_agreement":null},{"id":"W4243349594","doi":"10.3940/rina.ijme.2019.a1.514","title":"International Development and Validation of a Distributed Simulation for Naval Ship Replenishment at Sea","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payload (computing); Marine engineering; High-level architecture; Distributed Interactive Simulation; Sea trial; Synchronization (alternating current); Software; Simulation software; Modeling and simulation; Naval architecture; Computer science; Systems engineering; Engineering; Simulation; Interoperability; Telecommunications","score_opus":0.12867559439137616,"score_gpt":0.42440803198677274,"score_spread":0.2957324375953966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243349594","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":[0.7462309,0.0000026695902,0.25100774,0.00039628905,0.00005840738,0.0005388163,0.000051175743,0.00003171181,0.0016822556],"genre_scores_gemma":[0.98045635,7.337906e-7,0.017321903,0.000040397186,0.00001559869,0.00005143296,0.00021063456,0.0000041608546,0.0018987836],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986547,0.000019329556,0.0004979956,0.00026027486,0.0004945355,0.00007313284],"domain_scores_gemma":[0.9983696,0.00077623583,0.00021308461,0.00021968382,0.00038639584,0.000035045057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008241154,0.0000620021,0.000107965985,0.00009269095,0.00006583037,0.00005451101,0.00016509747,0.000041302836,0.000615867],"category_scores_gemma":[0.00033142665,0.000048827456,0.000039999897,0.00016012765,0.000017163038,0.00014554313,0.0000928393,0.000019318799,0.000034712233],"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":[0.00066172174,0.00032367127,0.657804,0.000037518854,0.000095357194,2.0413134e-7,0.001532609,0.08882479,0.013008784,0.04187796,0.00920287,0.18663052],"study_design_scores_gemma":[0.0016210531,0.00007916818,0.08571181,0.000014556878,0.000009960212,0.0000012502455,0.00023914229,0.3824019,0.20235151,0.013414515,0.3139421,0.00021303046],"about_ca_topic_score_codex":0.000003937989,"about_ca_topic_score_gemma":0.0000021458332,"teacher_disagreement_score":0.5720922,"about_ca_system_score_codex":0.0000660023,"about_ca_system_score_gemma":0.00002410602,"threshold_uncertainty_score":0.6743311},"labels":[],"label_agreement":null},{"id":"W4243624454","doi":"10.1007/978-1-4471-2783-3_10","title":"Optimization","year":2013,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","score_opus":0.19435273139484605,"score_gpt":0.5135882290115464,"score_spread":0.3192354976167004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243624454","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000013375485,0.00027901778,0.65545034,0.0006334337,0.000071527385,0.0016352835,0.000075930424,0.0002390047,0.34161413],"genre_scores_gemma":[0.0015655379,0.0002873557,0.4976075,0.0004115796,0.00046659526,0.0009159882,0.0006164693,0.00010689036,0.49802208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954595,0.00019316707,0.0018189064,0.0012822441,0.0009712841,0.00027488038],"domain_scores_gemma":[0.9909268,0.0041758264,0.0012418483,0.0016982453,0.0016904079,0.00026689918],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022101388,0.0005114924,0.0006430488,0.0008200632,0.0009930348,0.00096391444,0.000663372,0.000570976,0.011774208],"category_scores_gemma":[0.0007237121,0.00047595837,0.00026145266,0.00049939065,0.00031766735,0.0006162162,0.00023972793,0.0004206554,0.0017869816],"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":[0.0000020815594,0.000018445973,0.000009811625,0.0000059439503,0.000021741876,5.8301936e-8,0.000022674878,0.091517545,0.000010074035,0.5362974,0.0018531128,0.37024114],"study_design_scores_gemma":[0.00008970615,0.000010646625,0.000025975012,0.000010398895,0.000046411777,0.0000015628868,0.000015992224,0.18532681,0.0000067978235,0.33536345,0.4788492,0.0002530271],"about_ca_topic_score_codex":0.000009136745,"about_ca_topic_score_gemma":0.0000027571846,"teacher_disagreement_score":0.4769961,"about_ca_system_score_codex":0.00011966606,"about_ca_system_score_gemma":0.00013748581,"threshold_uncertainty_score":0.9997692},"labels":[],"label_agreement":null},{"id":"W4244842723","doi":"10.1109/wsc.1990.129532","title":"Using experimental design to improve the efficiency of simulation modeling-a manufacturing perspective","year":2002,"lang":"en","type":"article","venue":"1990 Winter Simulation Conference Proceedings","topic":"Simulation Techniques and Applications","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":"General Motors (Canada)","funders":"","keywords":"Perspective (graphical); Computer science; Process (computing); Simulation modeling; Modeling and simulation; Systems engineering; Industrial engineering; Scale (ratio); Simulation; Artificial intelligence; Engineering","score_opus":0.3038535549796489,"score_gpt":0.4358308588101254,"score_spread":0.1319773038304765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244842723","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":[0.32856667,0.000019253446,0.6689136,0.0003168578,0.00006727922,0.0007683485,0.0000047793264,0.0000733103,0.001269916],"genre_scores_gemma":[0.9939295,8.0661283e-7,0.0054993546,0.00016167942,0.00009380493,0.000048069556,6.813891e-7,0.000021029373,0.00024508286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971931,0.000042295484,0.000845631,0.00065619237,0.00099143,0.00027137273],"domain_scores_gemma":[0.99701005,0.0005851696,0.0003872399,0.0003586597,0.0015498529,0.00010904005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088281947,0.00023320354,0.00027450212,0.0003481428,0.00033210486,0.00036898442,0.00071715855,0.000098938464,0.0005843669],"category_scores_gemma":[0.00071997155,0.00016983897,0.00013131648,0.0006263364,0.00009138233,0.0006673787,0.00017986502,0.00015756664,0.00006645904],"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":[0.000034388748,0.00007597134,0.000107710584,0.0000020214256,0.000007779943,9.0739775e-8,0.008509285,0.97895926,0.007214351,0.0023300888,0.00005263193,0.0027064034],"study_design_scores_gemma":[0.00022289171,0.00011242102,0.000045977522,0.00002571594,0.000012618847,8.662974e-7,0.0043550865,0.9426134,0.046197217,0.0060275467,0.00019799844,0.00018824053],"about_ca_topic_score_codex":0.000041216394,"about_ca_topic_score_gemma":6.1258345e-7,"teacher_disagreement_score":0.66536283,"about_ca_system_score_codex":0.00016118174,"about_ca_system_score_gemma":0.000025352201,"threshold_uncertainty_score":0.6925832},"labels":[],"label_agreement":null},{"id":"W4244874461","doi":"10.36334/modsim.2011.e10.erechtchoukova","title":"Metamodelling in sustainable environmental management","year":2011,"lang":"en","type":"article","venue":"Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"York University","funders":"","keywords":"Metamodeling; Computer science; Software engineering","score_opus":0.13911163070009236,"score_gpt":0.356554199338163,"score_spread":0.21744256863807065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244874461","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":[0.54859424,0.0009431224,0.41945451,0.0004322675,0.00064767123,0.0012157866,0.00005491206,0.0001784609,0.028479021],"genre_scores_gemma":[0.97832537,0.0011379205,0.003408727,0.000233285,0.00008455303,0.000063024076,0.000047730733,0.00003162795,0.01666774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99680406,0.00008520864,0.00086466817,0.00094785634,0.00088014355,0.00041804003],"domain_scores_gemma":[0.9984191,0.00043656607,0.00028853177,0.00046249107,0.00021396087,0.00017933214],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011174893,0.000347806,0.0003774902,0.0008445073,0.00038178053,0.0003417536,0.0004741851,0.00016967612,0.00044670797],"category_scores_gemma":[0.000044211578,0.00031399957,0.00010751276,0.00030631496,0.0001672874,0.0006341544,0.00026272403,0.00026264763,0.000032451568],"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":[0.00024962402,0.00029285406,0.012124705,0.000023667804,0.00008882608,0.00003197723,0.0007392539,0.86114466,0.000013229684,0.09146618,0.00017664395,0.033648387],"study_design_scores_gemma":[0.00094511826,0.000049674556,0.0018006394,0.000035766978,0.00002364883,0.0000037832922,0.0008083034,0.89619714,0.00015523903,0.084840566,0.014799586,0.00034055742],"about_ca_topic_score_codex":0.00014161933,"about_ca_topic_score_gemma":0.000013073847,"teacher_disagreement_score":0.42973116,"about_ca_system_score_codex":0.00007199382,"about_ca_system_score_gemma":0.000018900293,"threshold_uncertainty_score":0.9999312},"labels":[],"label_agreement":null},{"id":"W4244917026","doi":"10.1007/978-1-4614-6170-8_100774","title":"Random Processes","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.14490657267694093,"score_gpt":0.4056018158386517,"score_spread":0.2606952431617108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244917026","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011841412,0.00006859219,0.20396762,0.00050581794,0.00003943274,0.00023074058,0.000009547169,0.00015735342,0.7950197],"genre_scores_gemma":[0.0065784906,0.00004306235,0.0021723781,0.0005627169,0.00016741887,0.000023485596,0.000011731488,0.000020717873,0.99042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811506,0.000009173493,0.00054028194,0.00041772996,0.0008283812,0.00008935166],"domain_scores_gemma":[0.9968933,0.0014057072,0.00027087945,0.0007196407,0.0006442434,0.000066250046],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00070889515,0.00015695482,0.00031327122,0.00018697606,0.00009046098,0.00016919484,0.00060422806,0.00018923928,0.014207827],"category_scores_gemma":[0.0006740653,0.00010164691,0.00012281498,0.00008035135,0.00006503265,0.000044389544,0.000079487465,0.00011201511,0.0045686984],"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":[0.000005791214,0.0000029158307,0.0000063293046,0.000004401234,0.0000050563763,2.6376674e-7,0.000009967996,0.000013934028,0.00000196454,0.73647314,0.19571558,0.067760624],"study_design_scores_gemma":[0.00008765755,0.000006852342,0.0000020977736,0.000008373509,0.000004947421,8.60114e-7,0.0000015631749,0.00006963546,0.000053237945,0.39074805,0.60893047,0.00008628228],"about_ca_topic_score_codex":0.0000025949823,"about_ca_topic_score_gemma":0.000010844605,"teacher_disagreement_score":0.41321486,"about_ca_system_score_codex":0.000010693763,"about_ca_system_score_gemma":0.0000730963,"threshold_uncertainty_score":0.99620634},"labels":[],"label_agreement":null},{"id":"W4245015552","doi":"10.1007/978-3-030-18869-6_8","title":"Modelling of Continuous Time Dynamic Systems","year":2019,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Context (archaeology); Conceptual model; Domain (mathematical analysis); Process (computing); Task (project management); Computer science; Ordinary differential equation; Conceptual framework; Differential equation; Mathematics; Engineering; Epistemology; Systems engineering; Geography","score_opus":0.15885544905847546,"score_gpt":0.46999885168566485,"score_spread":0.3111434026271894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245015552","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027999073,0.0007972911,0.8428292,0.0001368658,0.000093265924,0.0021884,0.00028653842,0.00014254959,0.15349784],"genre_scores_gemma":[0.05000675,0.0003515803,0.19434978,0.000082211176,0.00023160552,0.00039862315,0.0008345602,0.00015347601,0.7535914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955648,0.00019342551,0.0020903212,0.0010173358,0.0009122003,0.00022191077],"domain_scores_gemma":[0.98960674,0.0052258493,0.0018076451,0.0016457412,0.0015751456,0.00013889043],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027795557,0.00041839888,0.0009472131,0.0007561479,0.00040535268,0.00035416262,0.000613999,0.00048124068,0.000848342],"category_scores_gemma":[0.00025186592,0.0003951755,0.0002792969,0.00036734313,0.00025890718,0.00030084368,0.00017393561,0.0003252491,0.00071529613],"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":[0.000005738081,0.00002398837,0.000012725726,0.00002488951,0.000038910406,5.361297e-8,0.000030747535,0.44842312,0.0000752518,0.46692237,0.00016177843,0.0842804],"study_design_scores_gemma":[0.000102865764,0.000015829572,0.00000754186,0.000031648477,0.000063650936,0.0000013921414,0.000022385122,0.48142096,0.000006204434,0.16564853,0.3524774,0.00020160238],"about_ca_topic_score_codex":0.0000176035,"about_ca_topic_score_gemma":0.0000010659069,"teacher_disagreement_score":0.64847946,"about_ca_system_score_codex":0.0000962808,"about_ca_system_score_gemma":0.00019492114,"threshold_uncertainty_score":0.99985003},"labels":[],"label_agreement":null},{"id":"W4245233483","doi":"10.1109/wsc.2001.977348","title":"Web-based simulation of systems described by partial differential equations","year":2002,"lang":"en","type":"article","venue":"Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304)","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":"McGill University","funders":"Carnegie Mellon University","keywords":"Computer science; Compiler; Polygon mesh; Java; Generator (circuit theory); Programming language; Partial differential equation; Object-oriented programming; Code (set theory); SBML; The Internet; Partial evaluation; Distributed computing; Object (grammar); Computational science; Modelica; Parallel computing; XML; Operating system; Computer graphics (images); Artificial intelligence","score_opus":0.20795479516250082,"score_gpt":0.37948357876659733,"score_spread":0.1715287836040965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245233483","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":[0.33323133,0.000010468046,0.66290134,0.0005568903,0.0005188528,0.0010646188,0.00013723678,0.00014304616,0.0014361955],"genre_scores_gemma":[0.9954374,0.000003508603,0.0021449577,0.000065602915,0.00017311203,0.00008710707,0.0000319465,0.000032591062,0.002023813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99543023,0.00018820983,0.0017742375,0.00063180545,0.001585662,0.0003898784],"domain_scores_gemma":[0.99292034,0.0018783105,0.0014636151,0.0008259463,0.0027639796,0.00014780015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091766455,0.0003308967,0.0005504019,0.00037157303,0.00030791573,0.0003012415,0.0012275373,0.00019867097,0.0018422203],"category_scores_gemma":[0.0025553042,0.00025195692,0.00030356392,0.0011038104,0.00025756206,0.0005823118,0.00017438886,0.00016587952,0.00012230185],"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":[0.00008140371,0.00046215885,0.012460473,0.00005380696,0.000050937608,9.874317e-8,0.00067085936,0.8897399,0.08457541,0.0029236055,0.0054835374,0.0034978166],"study_design_scores_gemma":[0.0008164849,0.000079026315,0.00077917316,0.00013395047,0.00005916074,2.9338207e-7,0.00013593033,0.989395,0.005663206,0.0014875553,0.0011947557,0.00025545675],"about_ca_topic_score_codex":0.000049947215,"about_ca_topic_score_gemma":0.000004570649,"teacher_disagreement_score":0.66220605,"about_ca_system_score_codex":0.00009720171,"about_ca_system_score_gemma":0.00011029635,"threshold_uncertainty_score":0.99999326},"labels":[],"label_agreement":null},{"id":"W4245442262","doi":"10.1515/iupac.79.1642","title":"Monte Carlo Simulation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Simulation Techniques and Applications","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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","score_opus":0.0854350641318043,"score_gpt":0.5540067480228458,"score_spread":0.4685716838910415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245442262","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001698231,0.00016186436,0.009268316,0.0010426178,0.00036455897,0.00050007855,0.9882578,0.00014956569,0.00008535595],"genre_scores_gemma":[0.004327024,0.00013226413,0.00019733916,0.0004185264,0.00088214845,0.00004256036,0.9912225,0.000034512064,0.0027431187],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99405193,0.00015457137,0.0011780979,0.0008568999,0.0034267143,0.00033177764],"domain_scores_gemma":[0.99351937,0.0014619592,0.00069738564,0.0020754372,0.002055127,0.00019074051],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020796456,0.000369429,0.00061968307,0.0005194179,0.00022968586,0.00028268676,0.0012345113,0.00043175448,0.006694354],"category_scores_gemma":[0.0041194297,0.00024415614,0.0002838184,0.00071480917,0.00013454226,0.0002299179,0.00026201247,0.00032452712,0.0000312879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030687544,0.00006591424,0.00001457036,0.0000046328532,0.000014660152,0.0000036463662,0.00000687664,0.00277541,0.0000013507337,0.000021948685,0.97327256,0.023787767],"study_design_scores_gemma":[0.00033386514,0.00006357272,0.00007100459,0.00006352323,0.000034183733,0.0000017015134,0.00001754948,0.003990472,0.000007965359,0.00343946,0.99166083,0.00031585983],"about_ca_topic_score_codex":0.000098490025,"about_ca_topic_score_gemma":0.0002790643,"teacher_disagreement_score":0.023471907,"about_ca_system_score_codex":0.00028871692,"about_ca_system_score_gemma":0.00041919472,"threshold_uncertainty_score":0.99563986},"labels":[],"label_agreement":null},{"id":"W4247058485","doi":"10.1109/pads.2004.1301283","title":"Event reconstruction in time warp","year":2004,"lang":"en","type":"article","venue":"","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":"McGill University","funders":"","keywords":"Computer science; Overhead (engineering); Event (particle physics); Queue; Granularity; Parallel computing; State (computer science); Discrete event simulation; Real-time computing; Distributed computing; Embedded system; Algorithm; Operating system; Simulation; Computer network","score_opus":0.076266643880429,"score_gpt":0.4149190334845694,"score_spread":0.33865238960414035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247058485","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":[0.83577865,0.0000075645416,0.11437607,0.0031843716,0.000056177974,0.00021870265,0.0000017379992,0.00012657972,0.046250142],"genre_scores_gemma":[0.9862532,0.0000018590827,0.009552514,0.00015045497,0.000016522428,0.000013178189,7.9404737e-7,0.0000021282042,0.004009323],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918216,0.0000150955075,0.00027764426,0.00016109903,0.0002979859,0.0000659859],"domain_scores_gemma":[0.99956137,0.000090375666,0.0000447051,0.00022084238,0.00005472184,0.000027960687],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00057568424,0.000034265828,0.00006271487,0.00013497692,0.000033834374,0.000048544633,0.00018788017,0.000031431235,0.001842794],"category_scores_gemma":[0.00013300807,0.000025026166,0.000030877858,0.0004865491,0.00001991395,0.00012348706,0.000025754462,0.00003728816,0.0016236985],"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":[0.000011251341,0.0001828578,0.029049795,6.355911e-7,0.0000027548983,0.0000016227438,0.00023646028,0.0118116485,0.0039569903,0.12676899,0.005315255,0.82266176],"study_design_scores_gemma":[0.00034465178,0.000020983336,0.033035934,0.0000075367543,8.9179935e-7,0.00001201195,0.00009871092,0.0038362932,0.009117272,0.9344794,0.018948892,0.00009742789],"about_ca_topic_score_codex":0.00004849312,"about_ca_topic_score_gemma":0.00002094061,"teacher_disagreement_score":0.8225643,"about_ca_system_score_codex":0.00004037384,"about_ca_system_score_gemma":0.000020830232,"threshold_uncertainty_score":0.9991537},"labels":[],"label_agreement":null},{"id":"W4247354238","doi":"10.1007/978-1-84628-622-3_7","title":"Modelling of Continuous-Time Dynamic Systems","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Process (computing); Basis (linear algebra); Context (archaeology); Computer science; Set (abstract data type); Perspective (graphical); Theoretical computer science; Mathematics; Artificial intelligence; Programming language","score_opus":0.18968882705284767,"score_gpt":0.3901104241919006,"score_spread":0.20042159713905294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247354238","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025559031,0.00014211933,0.446526,0.000018751109,0.000044034536,0.00025614258,0.00003252934,0.000073807685,0.55288106],"genre_scores_gemma":[0.042029303,0.000033253535,0.005632205,0.00002999222,0.00004226525,0.0000060730385,0.00001923028,0.000029447903,0.95217824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972244,0.000011185632,0.0011707381,0.00041599013,0.001046614,0.00013108426],"domain_scores_gemma":[0.9969972,0.00077254616,0.00064722495,0.00084110885,0.0006739262,0.000067996734],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012643681,0.00018538315,0.0005295232,0.00042545376,0.00005361361,0.00007886036,0.00057371234,0.00031969335,0.0024053315],"category_scores_gemma":[0.000039017745,0.00014115346,0.00020849174,0.00008564413,0.000084199004,0.000063325344,0.00007716777,0.00014986246,0.0011682147],"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":[0.000006530283,0.0000126732375,0.0000040302034,0.000007878478,0.000021926578,0.0000013816408,0.000025481624,0.05003224,0.00004168696,0.9304902,0.0053910958,0.013964861],"study_design_scores_gemma":[0.00005278956,0.000017999515,7.150994e-7,0.000049430575,0.000013971358,0.000002567155,0.000018230061,0.5891991,0.000024638986,0.12541233,0.28504762,0.00016055994],"about_ca_topic_score_codex":0.000047045694,"about_ca_topic_score_gemma":0.0000023889647,"teacher_disagreement_score":0.8050779,"about_ca_system_score_codex":0.000037367437,"about_ca_system_score_gemma":0.000039091523,"threshold_uncertainty_score":0.9996095},"labels":[],"label_agreement":null},{"id":"W4247997362","doi":"10.1109/wsc.2005.1574304","title":"Channel Based Sequential Simulation","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Winter Simulation Conference, 2005.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete event simulation; Computer science; Asynchronous communication; Timestamp; Queue; Event (particle physics); Implementation; Parallel computing; Algorithm; Distributed computing; Real-time computing; Simulation; Computer network; Programming language","score_opus":0.1019837279917458,"score_gpt":0.3720877354272439,"score_spread":0.27010400743549806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247997362","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":[0.37686908,0.000023148832,0.5726009,0.0038440619,0.00047867812,0.0015163637,0.00007110238,0.00035570207,0.044240963],"genre_scores_gemma":[0.9946674,3.4027036e-7,0.0009743715,0.00019042913,0.00020768099,0.00002841132,0.000008906985,0.000018613908,0.0039038535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971047,0.000027788416,0.0009957228,0.00046847874,0.0011401044,0.00026322887],"domain_scores_gemma":[0.9965028,0.0004979494,0.0007779881,0.00034830745,0.001808524,0.000064405045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009824125,0.00020553314,0.00027486336,0.00033497481,0.00023604151,0.0003123178,0.00091235584,0.00013930893,0.00074139447],"category_scores_gemma":[0.0004765218,0.000144806,0.0002409855,0.00077589124,0.00015280853,0.0005449035,0.000148395,0.00014788826,0.00006554875],"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":[0.000050225663,0.00010713606,0.007356603,0.000009306271,0.000008328148,5.3007234e-8,0.00010621648,0.9707377,0.0026766623,0.013399749,0.0035818496,0.001966149],"study_design_scores_gemma":[0.00037293887,0.00002100508,0.011307821,0.000034854103,0.000018188875,3.9096875e-7,0.00006316907,0.89781886,0.009266402,0.06421695,0.01671811,0.00016132894],"about_ca_topic_score_codex":0.000028970428,"about_ca_topic_score_gemma":0.000010683329,"teacher_disagreement_score":0.6177983,"about_ca_system_score_codex":0.000058078567,"about_ca_system_score_gemma":0.00006788399,"threshold_uncertainty_score":0.81177497},"labels":[],"label_agreement":null},{"id":"W4248641144","doi":"10.1109/simsym.1992.227563","title":"Using split event sets to form and schedule event combinations in discrete event simulation","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Implementation; Computer science; Discrete event simulation; Event (particle physics); Scheduling (production processes); Set (abstract data type); Process (computing); Theoretical computer science; Queueing theory; Event tree analysis; Algorithm; Data mining; Mathematics; Mathematical optimization; Programming language; Simulation; Reliability engineering; Computer network","score_opus":0.16778699907063827,"score_gpt":0.496845937291782,"score_spread":0.32905893822114374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248641144","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":[0.47633606,0.0000148274285,0.51975894,0.0009797697,0.000041836982,0.0006085254,0.000011704874,0.000039128186,0.0022092091],"genre_scores_gemma":[0.97533023,0.0000019676816,0.023365846,0.00021401474,0.000007718279,0.000045583856,0.0000065838153,0.000009207877,0.0010188317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794376,0.0000934445,0.0007520968,0.00041428348,0.00059376226,0.00020267318],"domain_scores_gemma":[0.99857855,0.0005118071,0.00014319982,0.00043037848,0.00019890984,0.00013715534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016424217,0.0001217039,0.00017286646,0.00034104416,0.00018981958,0.00013979239,0.00017900248,0.00006300951,0.00024586037],"category_scores_gemma":[0.00084839755,0.00009960439,0.0000630584,0.00096602866,0.000026150343,0.0002981484,0.00008314301,0.00007781217,0.000056019322],"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":[0.000017218263,0.00031836634,0.014621303,0.0000041016256,0.000007472055,9.3891555e-7,0.000624744,0.6324239,0.00047548322,0.32677633,0.00040729853,0.02432289],"study_design_scores_gemma":[0.0006381377,0.000055665023,0.029134799,0.000021625745,0.0000066655766,0.0000024097496,0.00042452637,0.78164417,0.0011756446,0.17079018,0.015898392,0.00020779172],"about_ca_topic_score_codex":0.00005740675,"about_ca_topic_score_gemma":0.00008789525,"teacher_disagreement_score":0.49899417,"about_ca_system_score_codex":0.00012126434,"about_ca_system_score_gemma":0.000048408376,"threshold_uncertainty_score":0.4061749},"labels":[],"label_agreement":null},{"id":"W4248762775","doi":"10.32920/ryerson.14646987","title":"Uncertainty in Risk Modelling","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Copula (linguistics); Econometrics; Monte Carlo method; Expected shortfall; Value at risk; Maximization; Computer science; Mathematical optimization; Mathematics; Economics; Risk management; Statistics","score_opus":0.24084925154276304,"score_gpt":0.4495881498786426,"score_spread":0.20873889833587955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248762775","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":[0.20842157,0.000090298665,0.77234066,0.00040267964,0.00009810122,0.0002486343,0.000018821826,0.00009097921,0.018288257],"genre_scores_gemma":[0.95871985,0.00012854788,0.038872547,0.00011965627,0.000042586995,0.00007366832,0.000024881903,0.000008206116,0.0020100288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976103,0.000143983,0.0007254658,0.00069699076,0.0006862156,0.00013708233],"domain_scores_gemma":[0.99745214,0.00077301526,0.00025185285,0.0011418252,0.00032693378,0.000054224216],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018658107,0.00012942922,0.0002851772,0.00025815138,0.000060606977,0.00038820904,0.0007050211,0.00022044043,0.0013477118],"category_scores_gemma":[0.00046445726,0.000100826575,0.00015783758,0.00057126395,0.000026796668,0.00006620884,0.0006814241,0.0005041829,0.00007535659],"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":[0.000001141156,0.00002198736,0.0021983692,0.0000011165922,0.0000020821024,8.907042e-7,0.00013553097,0.97839636,0.0000022369675,0.0028531528,0.0006723465,0.015714811],"study_design_scores_gemma":[0.000039775772,0.0000015073431,0.0005596545,0.00001346586,0.0000025661036,1.9526392e-7,0.00027891184,0.74169755,0.000054219403,0.25236404,0.0048903404,0.00009775584],"about_ca_topic_score_codex":0.0019402627,"about_ca_topic_score_gemma":0.00038278152,"teacher_disagreement_score":0.7502983,"about_ca_system_score_codex":0.000058261427,"about_ca_system_score_gemma":0.00013006308,"threshold_uncertainty_score":0.9995652},"labels":[],"label_agreement":null},{"id":"W4248924092","doi":"10.5220/0007586005030510","title":"Something is Rotten in the State of Documenting Simulink Models","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; State (computer science); Programming language","score_opus":0.1369159776986764,"score_gpt":0.4372817822108344,"score_spread":0.300365804512158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248924092","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":[0.84329104,0.000017046154,0.110286064,0.0020198994,0.000019653176,0.0003852853,0.000003463183,0.000027694354,0.04394984],"genre_scores_gemma":[0.98998755,0.0000028423603,0.005243547,0.0009997957,0.0000059027007,0.000009477345,4.965546e-7,0.0000031795412,0.0037472083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986102,0.00006318622,0.0004417298,0.00018532317,0.0005986504,0.000100906414],"domain_scores_gemma":[0.9981311,0.0011249959,0.00013873485,0.00047519,0.000115829695,0.000014136693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025953343,0.000047888865,0.00011038475,0.00013659106,0.000036393463,0.0000975929,0.00054747536,0.00002190975,0.00051973114],"category_scores_gemma":[0.000105727086,0.000026519856,0.000051222047,0.0006502084,0.000017533663,0.00031389142,0.00007585745,0.00007894251,0.00012239376],"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":[0.000017134436,0.0001681743,0.032006703,0.000013182161,0.000013475893,7.809185e-7,0.026604433,0.42406833,0.0038008858,0.15201625,0.0049485327,0.3563421],"study_design_scores_gemma":[0.00009733804,0.0000086608,0.0010304013,0.000003719937,0.0000010081724,1.5960687e-7,0.0007224331,0.44271368,0.0018976192,0.5505962,0.0028859903,0.000042840897],"about_ca_topic_score_codex":0.00012832855,"about_ca_topic_score_gemma":0.000008054901,"teacher_disagreement_score":0.3985799,"about_ca_system_score_codex":0.000006833993,"about_ca_system_score_gemma":0.000013800582,"threshold_uncertainty_score":0.56906915},"labels":[],"label_agreement":null},{"id":"W4248959900","doi":"10.1109/wsc.1993.718400","title":"Montoring Manufacturing System Behavior by Continuous Discrete-Event Simulation","year":2005,"lang":"en","type":"article","venue":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Modular design; Computer science; Discrete event simulation; Scheduling (production processes); Distributed computing; Industrial engineering; Object-oriented programming; Simulation; Real-time computing; Systems engineering; Engineering; Operating system","score_opus":0.06630170690169465,"score_gpt":0.3842283046270482,"score_spread":0.3179265977253536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248959900","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":[0.8388085,0.000047261412,0.15421519,0.00035512485,0.00017376362,0.0010902879,0.00006359493,0.0003930994,0.004853205],"genre_scores_gemma":[0.99529034,0.0000035866485,0.0023844563,0.00005561224,0.00024024487,0.00013650308,0.000025135454,0.00004003282,0.0018240684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99547917,0.000028832283,0.0017578742,0.00086013466,0.0014547795,0.00041919595],"domain_scores_gemma":[0.9960939,0.000577291,0.0011980544,0.0004007972,0.0015180974,0.0002118385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010984483,0.0003764751,0.00059041055,0.00041680515,0.00026582569,0.000534694,0.0008801072,0.00021354711,0.0003950963],"category_scores_gemma":[0.00038782528,0.00033592567,0.0002440197,0.00042106694,0.00010348334,0.001614876,0.00021219747,0.00025036407,0.00010295841],"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":[0.00033835936,0.00083351386,0.09951303,0.00019262696,0.00012281688,0.0000022677348,0.004650388,0.5173143,0.03420028,0.015393384,0.004159327,0.32327965],"study_design_scores_gemma":[0.00081360457,0.00013063666,0.013645245,0.00020513943,0.00007768796,0.0000037801847,0.0015721999,0.8989431,0.05725133,0.0011849048,0.02561702,0.0005553061],"about_ca_topic_score_codex":0.000043746484,"about_ca_topic_score_gemma":0.0000054230427,"teacher_disagreement_score":0.3816288,"about_ca_system_score_codex":0.00024784336,"about_ca_system_score_gemma":0.000035142068,"threshold_uncertainty_score":0.9999093},"labels":[],"label_agreement":null},{"id":"W4249617721","doi":"10.1007/978-1-4939-7131-2_100487","title":"In Probability Modeling","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Environmental science","score_opus":0.32939026121469067,"score_gpt":0.4443032997551012,"score_spread":0.11491303854041052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249617721","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002505254,0.000013844185,0.07281422,0.0005283903,0.000046230507,0.00034977324,0.000007559663,0.00006987287,0.9259196],"genre_scores_gemma":[0.022988992,0.000006289412,0.00922009,0.00031564568,0.00011322656,0.000020666657,0.000003647809,0.000013887687,0.9673176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981402,0.00001062009,0.000661193,0.0004987868,0.00059347175,0.00009568441],"domain_scores_gemma":[0.99845177,0.00021745858,0.00011822797,0.00083353993,0.00033553506,0.00004348416],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011931703,0.00012288567,0.0002196654,0.00021898586,0.000041215273,0.000074759,0.00047134364,0.0002079418,0.023386147],"category_scores_gemma":[0.00019301659,0.00008938082,0.00009602185,0.000079160105,0.000060829494,0.00010971874,0.000120929326,0.00013973795,0.0022379567],"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":[0.0000032044838,0.000011193288,0.000020313817,0.0000013988598,0.0000017051236,4.6104952e-7,0.000052265656,0.0006804088,0.0000023466957,0.9649506,0.026900874,0.007375184],"study_design_scores_gemma":[0.00002338693,0.0000060613747,0.0000021969715,0.0000064580136,0.0000010685919,3.2561232e-7,0.0000035345915,0.046188343,0.0000077182085,0.6983534,0.25533172,0.00007576955],"about_ca_topic_score_codex":0.000020214271,"about_ca_topic_score_gemma":0.000082550054,"teacher_disagreement_score":0.26659724,"about_ca_system_score_codex":0.000048248894,"about_ca_system_score_gemma":0.000048374906,"threshold_uncertainty_score":0.9985389},"labels":[],"label_agreement":null},{"id":"W4249782045","doi":"10.1007/978-1-4939-7131-2_100631","title":"Markov Chain Monte Carlo Algorithms","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Markov chain Monte Carlo; Computer science; Monte Carlo method; Markov chain; Algorithm; Hybrid Monte Carlo; Statistical physics; Mathematics; Machine learning; Statistics; Physics","score_opus":0.1289637563648019,"score_gpt":0.39392771594019677,"score_spread":0.26496395957539487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249782045","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016927843,0.00012636953,0.028021837,0.0006909824,0.00022674561,0.0004213556,0.00008631515,0.00025278275,0.97015667],"genre_scores_gemma":[0.0018279782,0.000043856417,0.01443554,0.0005837658,0.00043102202,0.000028556915,0.000010280635,0.000040276434,0.9825987],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710035,0.000017932172,0.0007508037,0.0007288287,0.0012144696,0.00018760655],"domain_scores_gemma":[0.9970637,0.00047301364,0.0003373581,0.0013614665,0.0006281485,0.00013630372],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010244385,0.00026829008,0.00037882655,0.0003271274,0.00015109369,0.00020717109,0.0009342133,0.000363942,0.03738537],"category_scores_gemma":[0.00015033824,0.00019480888,0.00025927814,0.0001099794,0.00016430469,0.00009753695,0.00023238904,0.00020003243,0.0054823547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003856412,0.000010453977,0.000013097422,0.0000014288436,0.000019418296,0.0000035653495,0.000070745744,0.0000073882848,0.0000032858877,0.20136991,0.5520844,0.24641247],"study_design_scores_gemma":[0.00005469879,0.000025452015,0.000022178541,0.000010704532,0.000008160099,0.0000023178109,0.00001718044,0.0032630845,0.000023878487,0.24477112,0.7516066,0.00019463652],"about_ca_topic_score_codex":0.00003092901,"about_ca_topic_score_gemma":0.000030485486,"teacher_disagreement_score":0.24621783,"about_ca_system_score_codex":0.000051063438,"about_ca_system_score_gemma":0.00005815296,"threshold_uncertainty_score":0.995292},"labels":[],"label_agreement":null},{"id":"W4249886561","doi":"10.1109/wsc.2014.7019957","title":"Simulation by example for complex systems","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Winter Simulation Conference 2014","topic":"Simulation Techniques and Applications","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":"University of Calgary","funders":"","keywords":"Computer science; Process (computing); Representativeness heuristic; Complex system; Instrumentation (computer programming); Business process; Business process modeling; Systems engineering; Business process management; Risk analysis (engineering); Data science; Management science; Process management; Work in process; Engineering; Artificial intelligence; Operations management","score_opus":0.1924620541317515,"score_gpt":0.4011346989765727,"score_spread":0.20867264484482123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249886561","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":[0.060457837,0.000009618144,0.93315274,0.0008614664,0.0002045724,0.0011382884,0.00005225115,0.00010747668,0.0040157344],"genre_scores_gemma":[0.9960651,5.496733e-7,0.0017024246,0.0001651489,0.00011941212,0.00007925182,0.000013222262,0.00001821234,0.001836717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99767697,0.00003537121,0.0008806427,0.00045619535,0.0007487413,0.0002020594],"domain_scores_gemma":[0.99363285,0.0024583475,0.00087207276,0.0003954905,0.0025657986,0.000075437354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016822488,0.00017190773,0.0003158169,0.0001364432,0.00023732528,0.00035811387,0.000989174,0.00010707542,0.00017206777],"category_scores_gemma":[0.0020603153,0.00011784794,0.00016331694,0.00034435457,0.00011157639,0.00041529298,0.00013687147,0.00008548286,0.000041263265],"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":[0.000104139785,0.00012801352,0.016387908,0.00006958652,0.000031912004,3.8362042e-9,0.00078831695,0.745758,0.024944313,0.1191092,0.070802346,0.02187626],"study_design_scores_gemma":[0.00028419239,0.000047427817,0.0020960048,0.00002532066,0.000012721978,1.539871e-7,0.000111690126,0.8347662,0.0017205615,0.02742038,0.13339247,0.0001228776],"about_ca_topic_score_codex":0.000030644445,"about_ca_topic_score_gemma":0.0000016168141,"teacher_disagreement_score":0.9356072,"about_ca_system_score_codex":0.00003148947,"about_ca_system_score_gemma":0.000018577986,"threshold_uncertainty_score":0.48056996},"labels":[],"label_agreement":null},{"id":"W4250150441","doi":"10.1007/978-1-4471-2783-3_1","title":"Introduction","year":2013,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","score_opus":0.16378736967998905,"score_gpt":0.5049803418330077,"score_spread":0.3411929721530186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250150441","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000044351395,0.00029574754,0.69399726,0.0028566397,0.00014104154,0.0016946851,0.00006808998,0.00026789433,0.3006742],"genre_scores_gemma":[0.0020329987,0.00023766846,0.22431342,0.00037302298,0.002202364,0.0009889624,0.0005973238,0.0001038592,0.7691504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99549925,0.00018928254,0.0017275685,0.0013964794,0.00092329487,0.00026411848],"domain_scores_gemma":[0.99194014,0.0032549913,0.0011417508,0.0018525837,0.0015702646,0.00024023905],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025077863,0.00048162372,0.0006185452,0.00079323986,0.00095544406,0.0008543282,0.0005887051,0.00051269797,0.015082155],"category_scores_gemma":[0.00080053153,0.00044412178,0.00025451125,0.0004769481,0.00033767975,0.00059279666,0.00021530791,0.00047103956,0.0039864527],"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":[0.0000019592032,0.000015354131,0.0000065253093,0.0000049371934,0.000018787492,3.6778612e-8,0.000018724499,0.0020443054,0.000036529917,0.56213766,0.009745471,0.4259697],"study_design_scores_gemma":[0.00007679928,0.000011975982,0.00006119646,0.0000058264986,0.0000472386,0.0000023623063,0.000018635117,0.018649448,0.000018672143,0.4369483,0.5439128,0.00024673424],"about_ca_topic_score_codex":0.000008596134,"about_ca_topic_score_gemma":0.0000035716128,"teacher_disagreement_score":0.53416735,"about_ca_system_score_codex":0.00012720139,"about_ca_system_score_gemma":0.0001140139,"threshold_uncertainty_score":0.99980104},"labels":[],"label_agreement":null},{"id":"W4250291293","doi":"10.26868/25222708.2019.211232","title":"Adaptive Sampling For Building Simulation Surrogate Model Derivation Using The LOLA-Voronoi Algorithm","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canarie","keywords":"Voronoi diagram; Centroidal Voronoi tessellation; Computer science; Sampling (signal processing); Adaptive sampling; Algorithm; Surrogate model; Mathematical optimization; Mathematics; Statistics; Machine learning; Computer vision; Monte Carlo method; Geometry","score_opus":0.437817657541963,"score_gpt":0.4699098035917947,"score_spread":0.03209214604983168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250291293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14199986,0.000018003335,0.8544179,0.0015553936,0.00007569206,0.0014626133,0.000043344015,0.00032718404,0.00009997496],"genre_scores_gemma":[0.7148145,0.000002252109,0.2842467,0.00045636002,0.00030616656,0.000088484034,0.000011547939,0.000041525847,0.000032458644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959515,0.00004447894,0.001257715,0.0010729671,0.0011867855,0.00048658813],"domain_scores_gemma":[0.9929814,0.0023337463,0.0010168565,0.0003234579,0.0031326702,0.00021191397],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018009982,0.00038588254,0.00044114862,0.00027807138,0.0011741569,0.0011119811,0.00090406806,0.00022250522,0.00004701126],"category_scores_gemma":[0.0032971762,0.00031832978,0.00022330052,0.0014310682,0.0001239678,0.0015799963,0.0002207883,0.00029218534,0.000010147906],"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":[0.000053955104,0.00001407269,0.00035635295,0.000009944849,0.000013987199,4.1527326e-8,0.0013137619,0.9179363,0.006831084,0.03427997,0.000051025945,0.039139476],"study_design_scores_gemma":[0.0004564534,0.000058597114,0.00016851423,0.000045395303,0.000045910947,5.9957654e-7,0.0007394104,0.9004618,0.0024015224,0.09306807,0.0022036254,0.00035009015],"about_ca_topic_score_codex":0.00001645128,"about_ca_topic_score_gemma":7.7599475e-7,"teacher_disagreement_score":0.57281464,"about_ca_system_score_codex":0.00016663708,"about_ca_system_score_gemma":0.00016740795,"threshold_uncertainty_score":0.99992687},"labels":[],"label_agreement":null},{"id":"W4250306768","doi":"10.32920/ryerson.14646987.v1","title":"Uncertainty in Risk Modelling","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Copula (linguistics); Econometrics; Monte Carlo method; Expected shortfall; Value at risk; Model risk; Maximization; Computer science; Mathematics; Economics; Mathematical optimization; Statistics; Risk management; Finance","score_opus":0.24084925154276304,"score_gpt":0.4495881498786426,"score_spread":0.20873889833587955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250306768","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":[0.20842157,0.000090298665,0.77234066,0.00040267964,0.00009810122,0.0002486343,0.000018821826,0.00009097921,0.018288257],"genre_scores_gemma":[0.95871985,0.00012854788,0.038872547,0.00011965627,0.000042586995,0.00007366832,0.000024881903,0.000008206116,0.0020100288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976103,0.000143983,0.0007254658,0.00069699076,0.0006862156,0.00013708233],"domain_scores_gemma":[0.99745214,0.00077301526,0.00025185285,0.0011418252,0.00032693378,0.000054224216],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018658107,0.00012942922,0.0002851772,0.00025815138,0.000060606977,0.00038820904,0.0007050211,0.00022044043,0.0013477118],"category_scores_gemma":[0.00046445726,0.000100826575,0.00015783758,0.00057126395,0.000026796668,0.00006620884,0.0006814241,0.0005041829,0.00007535659],"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":[0.000001141156,0.00002198736,0.0021983692,0.0000011165922,0.0000020821024,8.907042e-7,0.00013553097,0.97839636,0.0000022369675,0.0028531528,0.0006723465,0.015714811],"study_design_scores_gemma":[0.000039775772,0.0000015073431,0.0005596545,0.00001346586,0.0000025661036,1.9526392e-7,0.00027891184,0.74169755,0.000054219403,0.25236404,0.0048903404,0.00009775584],"about_ca_topic_score_codex":0.0019402627,"about_ca_topic_score_gemma":0.00038278152,"teacher_disagreement_score":0.7502983,"about_ca_system_score_codex":0.000058261427,"about_ca_system_score_gemma":0.00013006308,"threshold_uncertainty_score":0.9995652},"labels":[],"label_agreement":null},{"id":"W4250429650","doi":"10.22215/etd/2011-07126","title":"Distributed and adaptive traffic signal control within a realistic traffic simulation","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Traffic signal; Control (management); Real-time computing; Artificial intelligence","score_opus":0.09678186053114837,"score_gpt":0.38330965576477216,"score_spread":0.2865277952336238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250429650","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":[0.5486599,0.00033384337,0.42882404,0.00016743703,0.00046900698,0.0038641817,0.0014911359,0.0010946508,0.015095775],"genre_scores_gemma":[0.9904809,0.000006708637,0.0010650291,0.00007299739,0.000076956814,0.00014273167,0.0012131875,0.000036379497,0.0069051087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965122,0.0001779901,0.0012186394,0.0008709603,0.0009720449,0.00024819703],"domain_scores_gemma":[0.9957934,0.0018271273,0.00081436493,0.0005361514,0.00084012933,0.00018881277],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010244142,0.00037149712,0.0005861553,0.00038837112,0.00028632302,0.0002670469,0.00045407,0.000447697,0.0010373009],"category_scores_gemma":[0.0005918181,0.0002896004,0.0001703829,0.0007142463,0.00009051773,0.00022308179,0.00001807364,0.0003078935,0.000101919795],"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":[0.0009860977,0.00029592722,0.00008336042,0.00002624761,0.000120027995,0.0000074223212,0.0028271428,0.7809489,0.00009548637,0.029727843,0.0042633847,0.18061815],"study_design_scores_gemma":[0.00072279054,0.00017606995,0.003818341,0.00004451878,0.00013856185,0.0000024751612,0.0016612401,0.97578615,0.00007282199,0.015630867,0.0014830154,0.00046313155],"about_ca_topic_score_codex":0.000055600874,"about_ca_topic_score_gemma":0.00044089224,"teacher_disagreement_score":0.44182098,"about_ca_system_score_codex":0.000047414633,"about_ca_system_score_gemma":0.00014355166,"threshold_uncertainty_score":0.9999556},"labels":[],"label_agreement":null},{"id":"W4250442501","doi":"10.1007/978-0-387-39940-9_2294","title":"Control Flow Diagrams","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.057768720743850685,"score_gpt":0.33945303070373006,"score_spread":0.28168430995987936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250442501","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018352579,0.0014089993,0.04578685,0.00017418379,0.00071774283,0.0013958904,0.0046300925,0.00015935818,0.9457085],"genre_scores_gemma":[0.016533518,0.0009701821,0.0026592321,0.00014916912,0.0013005852,0.00011072575,0.0009644692,0.00007760209,0.97723454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99512744,0.00008723704,0.0018343229,0.00080705783,0.001889355,0.00025457845],"domain_scores_gemma":[0.9942902,0.0013508159,0.001218679,0.0023273637,0.0006094386,0.00020351165],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017503029,0.00039895557,0.000984723,0.00042874852,0.00010620976,0.000112094895,0.0011590632,0.0003365249,0.0009938889],"category_scores_gemma":[0.0005984739,0.0003141459,0.00032162748,0.00017027403,0.000120214376,0.00024476394,0.0001179902,0.00032780203,0.0010371767],"study_design_candidate":"not_applicable","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":[0.000031025687,0.00008671037,0.00018000284,0.000061019637,0.00008223526,0.000025491921,0.00008529895,0.0006255355,0.000034274843,0.43080765,0.38823092,0.17974983],"study_design_scores_gemma":[0.0002965854,0.000053972817,0.000046301575,0.00017689042,0.00005618618,0.0000072045127,0.000017336763,0.0026047279,0.000007150923,0.015767233,0.9806422,0.00032420794],"about_ca_topic_score_codex":0.000069591486,"about_ca_topic_score_gemma":0.00001841398,"teacher_disagreement_score":0.5924113,"about_ca_system_score_codex":0.000048141297,"about_ca_system_score_gemma":0.00014233222,"threshold_uncertainty_score":0.99993104},"labels":[],"label_agreement":null},{"id":"W4250644863","doi":"10.1109/wsc.2016.7822082","title":"A tutorial on ABCmod: An Activity Based discrete event Conceptual modelling framework","year":2016,"lang":"en","type":"article","venue":"2016 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":"University of Ottawa","funders":"","keywords":"Computer science; Conceptual model; Domain (mathematical analysis); Naturalness; Process (computing); Event (particle physics); Conceptual framework; Perspective (graphical); Domain model; Artificial intelligence; Programming language; Mathematics; Epistemology","score_opus":0.23787390308042033,"score_gpt":0.4501405750829712,"score_spread":0.21226667200255084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250644863","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":[0.13457003,0.0000027148935,0.8617389,0.0012274066,0.00050235516,0.00045426105,0.000087123815,0.00021262231,0.0012045868],"genre_scores_gemma":[0.9925591,0.0000020679581,0.004924124,0.00034487754,0.0005875316,0.00006782613,0.000011158637,0.000028220167,0.001475102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963577,0.00034057788,0.00073748594,0.00094753975,0.0012524483,0.00036427853],"domain_scores_gemma":[0.9938453,0.0034374257,0.0004180125,0.0012909169,0.00075150264,0.00025687015],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010479437,0.00030433843,0.0003623492,0.00026330742,0.00025872912,0.0003117756,0.0007946891,0.0002630943,0.0034943474],"category_scores_gemma":[0.00090877555,0.0001922422,0.00020269182,0.000347779,0.000274902,0.0009607106,0.00009462205,0.00022545848,0.0007216625],"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":[0.0006727478,0.00029751618,0.0012112408,0.000002620834,0.000020900337,0.000001717068,0.0010860235,0.79174626,0.0023294103,0.06572028,0.000985381,0.13592589],"study_design_scores_gemma":[0.00074493774,0.00023757812,0.0008017867,0.00013415093,0.000010508269,2.2870054e-7,0.00009548074,0.9005894,0.0026358275,0.07039684,0.024012463,0.00034081613],"about_ca_topic_score_codex":0.000031872,"about_ca_topic_score_gemma":0.000009692501,"teacher_disagreement_score":0.8579891,"about_ca_system_score_codex":0.00012256023,"about_ca_system_score_gemma":0.00019812942,"threshold_uncertainty_score":0.9974166},"labels":[],"label_agreement":null},{"id":"W4251021083","doi":"10.22360/springsim.2017.tmsdevs.027","title":"The Experiment Model and Validity Frame in M&amp;S","year":2017,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"Computer science; Frame (networking); Context (archaeology); Simple (philosophy); Process (computing); Context model; Frame of reference; Model validation; Experimental data; Artificial intelligence; Data mining; Data science; Mathematics; Programming language","score_opus":0.504616395191988,"score_gpt":0.5403904728621537,"score_spread":0.035774077670165716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251021083","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":[0.811487,0.000038485112,0.11985307,0.00983703,0.000037361493,0.0002181541,0.0000025097388,0.000036974296,0.058489393],"genre_scores_gemma":[0.9852406,0.00001728466,0.0051542805,0.00011400986,0.000009814301,0.000029197237,1.3463551e-7,0.0000016996817,0.00943301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932617,0.00001810068,0.00016641179,0.00014920761,0.0002709584,0.000069172645],"domain_scores_gemma":[0.9987374,0.00033484187,0.00006793109,0.00077413995,0.000055792996,0.00002992488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010159301,0.00003489003,0.00005294657,0.000021577805,0.0004927442,0.0004758647,0.00044145816,0.000025670344,0.000063929336],"category_scores_gemma":[0.0005592592,0.000018235347,0.00001759603,0.00003477564,0.000083828134,0.0001174741,0.00014558191,0.00003933175,0.0000385979],"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":[0.000014116809,0.000092056696,0.04335368,5.295624e-7,0.0000027328256,2.9492327e-7,0.0011264018,0.0018840074,0.0026690792,0.76241416,0.047915746,0.1405272],"study_design_scores_gemma":[0.000103677834,0.0000058481296,0.030150602,0.000001379795,5.62245e-7,3.158011e-7,0.00016864778,0.16593117,0.0017030026,0.69768226,0.104189225,0.00006328831],"about_ca_topic_score_codex":0.00006820884,"about_ca_topic_score_gemma":0.00012799923,"teacher_disagreement_score":0.17375356,"about_ca_system_score_codex":0.000007236543,"about_ca_system_score_gemma":0.000010150516,"threshold_uncertainty_score":0.4588774},"labels":[],"label_agreement":null},{"id":"W4251265444","doi":"10.1109/wsc.2005.1574301","title":"Simulation in Java with SSJ","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Winter Simulation Conference, 2005.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":41,"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; Java; Random variate; Flexibility (engineering); Set (abstract data type); Monte Carlo method; Process (computing); Programming language; Random variable; Statistics","score_opus":0.06519963609925845,"score_gpt":0.3544743506516525,"score_spread":0.28927471455239406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251265444","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":[0.9092854,0.000013542326,0.05479825,0.001493952,0.00007627791,0.00082080386,0.0000125860815,0.000104244966,0.033394918],"genre_scores_gemma":[0.9953956,5.007257e-7,0.0013683226,0.00008705039,0.00007674285,0.00002634076,0.0000027961298,0.000015081755,0.003027543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975149,0.000020159074,0.00088290503,0.0004227529,0.0009235481,0.00023570901],"domain_scores_gemma":[0.99726087,0.0005959975,0.0005993465,0.00029237053,0.0012064762,0.00004495803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008135833,0.00017787264,0.0002664556,0.0002978114,0.00011480156,0.00021639244,0.0007199738,0.000103297185,0.00033287168],"category_scores_gemma":[0.00039371473,0.000112277856,0.000100047364,0.0010483684,0.00013534915,0.0005970239,0.000115020746,0.00015522509,0.000034802673],"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":[0.00007254189,0.0001094349,0.20763226,0.0000069057787,0.000005757143,1.0137536e-7,0.00021608194,0.7596143,0.0009184146,0.027278379,0.0008368843,0.003308957],"study_design_scores_gemma":[0.00052400195,0.000035369714,0.14290194,0.00007040283,0.000010998162,7.1716636e-7,0.00018943574,0.7866971,0.0021271168,0.05778812,0.009477848,0.00017697651],"about_ca_topic_score_codex":0.000050154355,"about_ca_topic_score_gemma":0.000078052275,"teacher_disagreement_score":0.0861102,"about_ca_system_score_codex":0.00006393515,"about_ca_system_score_gemma":0.00005295031,"threshold_uncertainty_score":0.45785582},"labels":[],"label_agreement":null},{"id":"W4251293400","doi":"10.1109/pads.1996.761578","title":"Parallel Simulation of Billiard Balls using Shared Variables","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Dynamical billiards; Computer science; Parallel computing; Statistical physics; Computer graphics (images); Physics; Mathematics; Geometry","score_opus":0.23039610776442726,"score_gpt":0.45602486224332084,"score_spread":0.22562875447889358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251293400","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05637605,0.000018201948,0.9319073,0.00041334564,0.000021044772,0.00020811312,0.000013037459,0.00007860025,0.01096433],"genre_scores_gemma":[0.82888305,0.000001990396,0.16951232,0.00014505284,0.00004641855,0.000004673136,0.0000033174301,0.0000050729323,0.0013980865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850696,0.000038560327,0.00057841727,0.00023168471,0.0005381018,0.000106274594],"domain_scores_gemma":[0.9982424,0.0007365571,0.0001994544,0.00042424208,0.0003498448,0.00004750567],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073147274,0.00007119346,0.00015198812,0.00015397981,0.00007650454,0.00007326704,0.000303592,0.00006123113,0.0031623926],"category_scores_gemma":[0.00038812793,0.000051480045,0.00007115409,0.0005811769,0.000033064076,0.00031925004,0.000055913428,0.00003506299,0.00010757093],"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":[0.0000051522143,0.000036875408,0.001829417,6.5471284e-7,0.0000032837531,3.793061e-8,0.000054664055,0.96441805,0.0019715158,0.013617828,0.0012750269,0.016787503],"study_design_scores_gemma":[0.00012850396,0.000008335947,0.0020477958,0.0000040220275,0.0000046241535,3.2857332e-7,0.000039959574,0.92238414,0.001937397,0.026585942,0.046788882,0.00007009245],"about_ca_topic_score_codex":0.00003561718,"about_ca_topic_score_gemma":0.000006904555,"teacher_disagreement_score":0.772507,"about_ca_system_score_codex":0.000022908287,"about_ca_system_score_gemma":0.000029932939,"threshold_uncertainty_score":0.99774885},"labels":[],"label_agreement":null},{"id":"W4251485445","doi":"10.1145/1012888.1005689","title":"Some systems, applications and models I have known","year":2004,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Surprise; Variety (cybernetics); Relevance (law); Computer science; Field (mathematics); Management science; Data science; Operations research; Artificial intelligence; Psychology; Mathematics; Social psychology; Engineering; Political science","score_opus":0.30145715949888846,"score_gpt":0.4673791476071729,"score_spread":0.16592198810828446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251485445","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029567018,0.6895943,0.2514186,0.0077748154,0.00035020636,0.01242187,0.00007067445,0.0004314802,0.0083709825],"genre_scores_gemma":[0.8003965,0.18723388,0.007482085,0.001402737,0.00021325513,0.002718086,0.000062218554,0.00002464024,0.00046661633],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99574906,0.00014894645,0.0011456936,0.0005974854,0.0021327075,0.00022613248],"domain_scores_gemma":[0.9953664,0.0007572472,0.00053349993,0.0016389732,0.001556684,0.00014721809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00780281,0.00019290771,0.0004079036,0.0005992965,0.00037351993,0.00022469096,0.00089914363,0.000095209485,0.0001184714],"category_scores_gemma":[0.0029172671,0.00015208167,0.00008974629,0.0029744117,0.00007685155,0.0010897602,0.0002108099,0.00016014327,0.00039060102],"study_design_candidate":"design_other","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":[0.0000024803257,0.00009694352,0.0009709464,0.0003184259,0.000014712112,1.469005e-7,0.00006991274,0.037868317,0.000019587973,0.077844,0.0045529194,0.8782416],"study_design_scores_gemma":[0.0010709062,0.00012828349,0.0044124685,0.0010467103,0.00025732716,0.000026347581,0.00012361087,0.35377252,0.00017282624,0.30986875,0.32843664,0.0006835815],"about_ca_topic_score_codex":0.0000143217385,"about_ca_topic_score_gemma":0.0000010825639,"teacher_disagreement_score":0.87755805,"about_ca_system_score_codex":0.00016612058,"about_ca_system_score_gemma":0.0002032726,"threshold_uncertainty_score":0.62017107},"labels":[],"label_agreement":null},{"id":"W4252148511","doi":"10.4095/300987","title":"Model Forests","year":2010,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forestry; Environmental science; Computer science; Geography","score_opus":0.46833478120550837,"score_gpt":0.5490399465803347,"score_spread":0.08070516537482636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252148511","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056759216,0.000022901162,0.1901545,0.00044996504,0.0002482061,0.00025168897,0.000041790823,0.00019237107,0.808071],"genre_scores_gemma":[0.29500416,0.0000523778,0.022675602,0.00018951985,0.00032624518,0.00009592918,0.000039382376,0.000028084296,0.6815887],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960331,0.000012650422,0.00069263333,0.0005023059,0.002614258,0.00014506806],"domain_scores_gemma":[0.99620503,0.00039345282,0.00033492758,0.001401266,0.00156746,0.00009785212],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002217294,0.00014728533,0.000282917,0.00026847157,0.00010165905,0.00020879062,0.0009137162,0.0004698403,0.0032973704],"category_scores_gemma":[0.0018541134,0.000096167976,0.00020162479,0.00034741597,0.00005092948,0.00008699126,0.00016650815,0.00039123764,0.00081999024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.126151e-7,0.000015223157,0.0006563369,0.0000012989926,0.000002700605,3.837712e-7,0.0000074616264,0.00041286013,0.000025920977,0.007381409,0.90022755,0.09126835],"study_design_scores_gemma":[0.000018865998,0.0000031177965,0.00063671643,0.000002803369,0.000004837723,0.0000041949693,0.000002748725,0.04606563,0.00011786357,0.22417107,0.728864,0.000108128654],"about_ca_topic_score_codex":0.00008977083,"about_ca_topic_score_gemma":0.00063790573,"teacher_disagreement_score":0.29443657,"about_ca_system_score_codex":0.000039080773,"about_ca_system_score_gemma":0.0007822022,"threshold_uncertainty_score":0.999958},"labels":[],"label_agreement":null},{"id":"W4252228566","doi":"10.1287/inte.1110.0581","title":"Contributors","year":2011,"lang":"en","type":"article","venue":"INFORMS Journal on Applied Analytics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","score_opus":0.1919850467501503,"score_gpt":0.3883384410576747,"score_spread":0.19635339430752438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252228566","genre_codex":"other","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":[0.059007175,0.0000138176965,0.22416864,0.0005201838,0.00027861694,0.0003194165,0.000017838573,0.00016126892,0.71551305],"genre_scores_gemma":[0.99372905,0.000016958305,0.0032473786,0.0013276793,0.00012407072,0.000006059312,0.0000017340836,0.000009384722,0.0015376854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976736,0.0000111277695,0.00089601125,0.00016363064,0.001017567,0.00023807342],"domain_scores_gemma":[0.99815005,0.00027065462,0.0005023383,0.00046118678,0.00038340667,0.00023238633],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015857563,0.0001311759,0.00023164222,0.00039915694,0.00025398316,0.0002667014,0.00069805334,0.00009114058,0.0015561087],"category_scores_gemma":[0.00034926113,0.00008098644,0.00015875896,0.0007364049,0.00007032709,0.0002009624,0.00005381803,0.0003262318,0.0013236247],"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":[0.00009171303,0.00014051385,0.0031530422,8.984384e-7,0.0000463826,0.000010132737,0.0005335821,0.000885413,0.00008830355,0.81781596,0.026230132,0.15100391],"study_design_scores_gemma":[0.0006611028,0.00014832738,0.007924972,0.000008145595,0.000023932473,0.000043737942,0.00061853474,0.003383482,0.003591342,0.55497074,0.428341,0.0002846775],"about_ca_topic_score_codex":0.0000019607219,"about_ca_topic_score_gemma":9.626242e-7,"teacher_disagreement_score":0.9347219,"about_ca_system_score_codex":0.000058474237,"about_ca_system_score_gemma":0.000064387954,"threshold_uncertainty_score":0.99945396},"labels":[],"label_agreement":null},{"id":"W4252514220","doi":"10.1002/9781118445112.stat04417","title":"Discretization of Distributions","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Discretization; Simple (philosophy); Distribution (mathematics); Applied mathematics; Mathematics; Aggregate (composite); Computer science; Order (exchange); Mathematical optimization; Algorithm; Calculus (dental); Mathematical analysis; Materials science; Medicine; Nanotechnology","score_opus":0.11544672534768749,"score_gpt":0.43659832209436056,"score_spread":0.32115159674667304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252514220","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000126785235,0.00013181435,0.8415444,0.00014112613,0.00012382098,0.00038073957,0.08128498,0.00017444731,0.07620603],"genre_scores_gemma":[0.01841397,0.0012716778,0.39945132,0.00012053129,0.00037593395,0.00008793503,0.038433194,0.0004239239,0.54142153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963979,0.00016842021,0.0012125749,0.0006511863,0.0012944253,0.0002754967],"domain_scores_gemma":[0.99561816,0.0008430441,0.001350696,0.0012810945,0.0007425674,0.0001644205],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049623114,0.00033104335,0.00066619786,0.000480006,0.00009835317,0.00009256532,0.0008831887,0.00031108005,0.0057579516],"category_scores_gemma":[0.0017564859,0.00026512274,0.00008258693,0.00081420696,0.00032189323,0.000053113115,0.00015003275,0.00027363215,0.0003599742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004741757,0.00011689178,0.00019244611,0.000019953846,0.000016134152,5.6457117e-7,0.0000132492,0.000028861137,0.000024405237,0.3784379,0.5904987,0.030646147],"study_design_scores_gemma":[0.00018507741,0.00007294611,0.0005987485,0.0001493745,0.00004587985,9.554533e-7,0.000034410597,0.003885106,0.000036052632,0.1179689,0.8767326,0.00028994493],"about_ca_topic_score_codex":0.00020002402,"about_ca_topic_score_gemma":0.00052047503,"teacher_disagreement_score":0.46521547,"about_ca_system_score_codex":0.000047497706,"about_ca_system_score_gemma":0.0001754535,"threshold_uncertainty_score":0.9999801},"labels":[],"label_agreement":null},{"id":"W4252582056","doi":"10.1109/wsc.1991.185663","title":"Parallel instance discrete-event simulation using a vector uniprocessor","year":2002,"lang":"en","type":"article","venue":"1991 Winter Simulation Conference Proceedings.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Speedup; Computer science; Uniprocessor system; Block (permutation group theory); Parallel computing; Selection (genetic algorithm); Discrete event simulation; Set (abstract data type); Representation (politics); Code (set theory); Theoretical computer science; Programming language; Artificial intelligence; Simulation; Multiprocessing; Mathematics","score_opus":0.216531297379657,"score_gpt":0.4225247235806773,"score_spread":0.20599342620102026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252582056","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":[0.24538927,0.0000671428,0.7458259,0.0010974284,0.00018608062,0.00090210245,0.000027952918,0.0004101212,0.006094048],"genre_scores_gemma":[0.99035084,0.0000085172915,0.0072131804,0.00032128053,0.00020955282,0.00006314624,0.000010593396,0.00003799672,0.0017849101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958898,0.00004448071,0.0012578631,0.000965521,0.0013986024,0.0004437254],"domain_scores_gemma":[0.9961424,0.0005041978,0.00074311,0.0004620176,0.0019334736,0.00021482115],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007772142,0.00036716412,0.00043017315,0.0004124435,0.00043632035,0.0008399474,0.000837887,0.00020403662,0.002120237],"category_scores_gemma":[0.0012614533,0.000314284,0.00018987241,0.0014123953,0.00014222396,0.0016843051,0.00017049741,0.0002721005,0.00031735687],"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":[0.00007178275,0.0001840629,0.009787674,0.000024026402,0.000026893122,0.0000012277404,0.0035667547,0.9462991,0.0007679893,0.013497048,0.0009500116,0.024823433],"study_design_scores_gemma":[0.00047884704,0.00006102364,0.00350577,0.00007013394,0.000020877053,0.000002195207,0.0004622539,0.960563,0.00017207231,0.011879198,0.02240165,0.00038299107],"about_ca_topic_score_codex":0.0000152571765,"about_ca_topic_score_gemma":0.000006882548,"teacher_disagreement_score":0.74496156,"about_ca_system_score_codex":0.00015816656,"about_ca_system_score_gemma":0.00003264266,"threshold_uncertainty_score":0.9999309},"labels":[],"label_agreement":null},{"id":"W4252799247","doi":"10.1109/wsc.2009.5429711","title":"A novel message-oriented and SOA based real-time modeling and simulation framework for Peer-to-Peer systems","year":2009,"lang":"en","type":"article","venue":"Proceedings of the 2009 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Distributed computing; Scalability; Service-oriented architecture; Peer-to-peer; Web service; Operating system; World Wide Web","score_opus":0.10007988846490252,"score_gpt":0.39116415353237677,"score_spread":0.29108426506747426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252799247","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":[0.20263086,0.000010434847,0.7920261,0.003227808,0.00006615972,0.001104048,0.000051669263,0.00009472708,0.00078816037],"genre_scores_gemma":[0.96483964,0.0000014490821,0.033666372,0.00028262343,0.000082442646,0.000045318367,0.000007102707,0.000017515573,0.0010575444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971999,0.000017814755,0.0008383446,0.00059748424,0.0011011043,0.00024533205],"domain_scores_gemma":[0.9938098,0.0010482974,0.00049302564,0.0003042122,0.0042039896,0.00014063646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016058948,0.000229933,0.0003609834,0.00029476386,0.0002505054,0.0004840678,0.00045787788,0.00018460852,0.00004193315],"category_scores_gemma":[0.0036334302,0.000174845,0.000103873,0.00055555755,0.00006655586,0.00051115366,0.00009849997,0.0001437702,0.0000053235485],"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":[0.00017211084,0.000082340186,0.0009769124,0.00002424773,0.000012328854,3.2212007e-8,0.0011769806,0.9565138,0.0090585435,0.024432091,0.00049370865,0.0070569008],"study_design_scores_gemma":[0.00044970255,0.00010829926,0.0017373116,0.0001745225,0.00002950112,8.8158805e-7,0.00029395954,0.9672209,0.00080938195,0.027670564,0.0013108621,0.00019408365],"about_ca_topic_score_codex":0.000018536108,"about_ca_topic_score_gemma":9.266869e-7,"teacher_disagreement_score":0.76220876,"about_ca_system_score_codex":0.00003598699,"about_ca_system_score_gemma":0.000043006872,"threshold_uncertainty_score":0.7129972},"labels":[],"label_agreement":null},{"id":"W4253611899","doi":"10.1016/b978-008044613-4.50051-3","title":"Codis – A Framework for Continuous/Discrete Systems Co-Simulation","year":2006,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","score_opus":0.08466015203669358,"score_gpt":0.4021842776001172,"score_spread":0.31752412556342363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253611899","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009765153,0.0003701162,0.17532265,0.00008996545,0.00031547446,0.0026706138,0.0006426462,0.00023156615,0.8203472],"genre_scores_gemma":[0.022863684,0.000008102515,0.005356935,0.00022038628,0.000776927,0.0004596803,0.00019970306,0.000112696274,0.9700019],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958031,0.00005624022,0.001580254,0.0009495524,0.0012715934,0.0003392436],"domain_scores_gemma":[0.99338037,0.0029880635,0.0012118012,0.001430387,0.0008462158,0.00014318565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013619709,0.00047605048,0.0009231873,0.00037921904,0.00035882174,0.00054436835,0.00080579205,0.00077960716,0.00030688522],"category_scores_gemma":[0.00038382775,0.000399418,0.00054992037,0.00005770299,0.00017384786,0.000088106695,0.0000889006,0.00037872046,0.00044396688],"study_design_candidate":"not_applicable","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":[0.00002380905,0.000008160788,0.000020557134,0.000026058078,0.00003649192,0.0000016641865,0.00006180548,0.0017394378,0.0000054107145,0.33128026,0.009772221,0.65702415],"study_design_scores_gemma":[0.00014591559,0.000038615377,0.000014725492,0.00016102083,0.000048943348,0.0000016670572,0.00001164228,0.0055040843,0.000011857198,0.32189104,0.67185414,0.00031632758],"about_ca_topic_score_codex":0.0000022824154,"about_ca_topic_score_gemma":0.0000037663322,"teacher_disagreement_score":0.66208196,"about_ca_system_score_codex":0.000105273386,"about_ca_system_score_gemma":0.000097236545,"threshold_uncertainty_score":0.99984574},"labels":[],"label_agreement":null},{"id":"W4253640515","doi":"10.1002/0470013192.bsa057","title":"Bootstrap Inference","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Behavioral Science","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McMaster University","funders":"","keywords":"Confidence interval; Statistical inference; Inference; Estimator; Statistical hypothesis testing; Computer science; Statistics; Econometrics; Machine learning; Artificial intelligence; Mathematics","score_opus":0.12548630875582942,"score_gpt":0.4836231441082016,"score_spread":0.3581368353523722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253640515","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009486825,0.00010561331,0.04501367,0.00005476562,0.0003763208,0.0005460019,0.0010664752,0.00010733289,0.95178115],"genre_scores_gemma":[0.089147955,0.00077457534,0.22835241,0.00004597018,0.00021091175,0.000086024775,0.000036934038,0.00014620283,0.681199],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958433,0.00004247084,0.0009188334,0.000715656,0.0021285843,0.00035116007],"domain_scores_gemma":[0.99756026,0.0004362574,0.0006462111,0.00091504905,0.00029095562,0.00015127771],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013199393,0.00022245421,0.0004061834,0.0011567728,0.00007165463,0.000100630336,0.0019249619,0.00017444836,0.008572505],"category_scores_gemma":[0.00092023105,0.00019112782,0.000045752495,0.0021422827,0.0011437867,0.00017272956,0.00024334135,0.0002620959,0.000211942],"study_design_candidate":"not_applicable","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":[0.0000036317956,0.00036142836,0.023972526,0.000009562135,0.0000013488972,0.000009888923,0.00029816126,0.00007969943,0.00010514915,0.07439489,0.316878,0.5838857],"study_design_scores_gemma":[0.00017307383,0.000075229495,0.030472456,0.00008461762,0.000013870325,0.0000013053167,0.00009319585,0.00048376623,0.00008027086,0.019867424,0.94824314,0.0004116501],"about_ca_topic_score_codex":0.00076227915,"about_ca_topic_score_gemma":0.0009600936,"teacher_disagreement_score":0.6313651,"about_ca_system_score_codex":0.00008516142,"about_ca_system_score_gemma":0.00044992694,"threshold_uncertainty_score":0.99233377},"labels":[],"label_agreement":null},{"id":"W4253793191","doi":"10.1007/978-1-4939-7131-2_100635","title":"Markov Random Fields","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Markov chain; Mathematics; Statistics","score_opus":0.12211426402227762,"score_gpt":0.40125885344313006,"score_spread":0.2791445894208524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253793191","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008149371,0.000036847163,0.08601417,0.0008054716,0.00013028477,0.00025806215,0.00001670941,0.0001343835,0.9125959],"genre_scores_gemma":[0.003965248,0.00002989875,0.0036357513,0.00090618525,0.0003232258,0.000013954908,0.000011074694,0.000017881452,0.9910968],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812037,0.00001223879,0.0005608793,0.00043568845,0.00076511625,0.00010570916],"domain_scores_gemma":[0.99749136,0.0008646666,0.00021472346,0.0009767925,0.00037828885,0.00007418509],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00079299667,0.00016032673,0.0002872425,0.00019007092,0.00010103073,0.00015122084,0.0006458448,0.0003310386,0.14814405],"category_scores_gemma":[0.00020565663,0.000108861146,0.00021677061,0.000056697278,0.00009905849,0.00006117077,0.00013471063,0.00014955926,0.0080120545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009605531,0.0000029988123,0.000004111792,5.278783e-7,0.0000064372416,6.102985e-7,0.000016491535,9.2358647e-7,0.0000011141905,0.2240587,0.72557795,0.050320532],"study_design_scores_gemma":[0.0000957859,0.000011951739,0.0000054323004,0.0000048680977,0.0000049311952,0.0000010221927,0.0000032635357,0.00017375634,0.000026367255,0.42883044,0.5707574,0.000084760955],"about_ca_topic_score_codex":0.0000054490247,"about_ca_topic_score_gemma":0.000017860557,"teacher_disagreement_score":0.20477174,"about_ca_system_score_codex":0.000014485623,"about_ca_system_score_gemma":0.000035971854,"threshold_uncertainty_score":0.9927603},"labels":[],"label_agreement":null},{"id":"W4253982536","doi":"10.1007/978-3-662-53120-4_300623","title":"Simulation","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science","score_opus":0.22565677133708034,"score_gpt":0.4499272995510107,"score_spread":0.22427052821393034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253982536","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000040020695,0.000024085548,0.109316595,0.00025454874,0.00009428125,0.00031210243,0.000017234554,0.00013581377,0.8898413],"genre_scores_gemma":[0.047289006,0.000004702788,0.0012762293,0.0003721222,0.00010116162,0.000003065309,0.000020848682,0.000022451453,0.9509104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801487,0.0000075891226,0.0005381247,0.00043267471,0.00092289964,0.000083852065],"domain_scores_gemma":[0.996655,0.0016512023,0.00027368023,0.00096984324,0.0004023373,0.000047958223],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00046677853,0.00014796603,0.00023750073,0.0002408912,0.000056274766,0.00013086226,0.00044865246,0.0002501801,0.026611565],"category_scores_gemma":[0.0002248373,0.000108544475,0.00016885131,0.000058395013,0.00003079239,0.00009703514,0.00009244845,0.00013305544,0.020207979],"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":[0.0000013863965,0.000002440505,0.000014390209,6.5173833e-7,0.0000036690224,1.7892093e-7,0.000005808338,0.01180156,0.0000021311387,0.915408,0.021307234,0.05145254],"study_design_scores_gemma":[0.000027093367,0.0000072151993,0.000021649432,0.000004083112,0.00000370454,1.3493299e-7,0.0000015724257,0.02613659,0.00000571774,0.3626877,0.61101514,0.000089399866],"about_ca_topic_score_codex":0.0000019148529,"about_ca_topic_score_gemma":0.0000025003285,"teacher_disagreement_score":0.5897079,"about_ca_system_score_codex":0.000028676746,"about_ca_system_score_gemma":0.00005507061,"threshold_uncertainty_score":0.9805549},"labels":[],"label_agreement":null},{"id":"W4254143362","doi":"10.1007/978-1-4614-6170-8_110015","title":"Stochastic Actor-Based Models","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.246510527600552,"score_gpt":0.40264680053394514,"score_spread":0.15613627293339313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254143362","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000013698983,0.000010332054,0.52121043,0.00027108935,0.000037450576,0.00017578673,0.000018157883,0.0001294034,0.478146],"genre_scores_gemma":[0.15155478,0.0000012147681,0.0040806606,0.0008024821,0.000116493924,0.00002366635,0.000022914279,0.000034213568,0.8433636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975589,0.000013678838,0.0006082701,0.00055443676,0.0011269442,0.00013779022],"domain_scores_gemma":[0.99678653,0.0011793831,0.00030772356,0.0011996997,0.00040726044,0.000119371674],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006151298,0.00022635412,0.00034577487,0.0003143658,0.00010255141,0.00015801218,0.00075523416,0.00028837624,0.009020989],"category_scores_gemma":[0.00013228577,0.0001634944,0.00022736959,0.00006505633,0.00008247019,0.000062990955,0.00007972291,0.00018486544,0.0023879665],"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":[0.000002498697,0.0000038608705,2.8110355e-7,8.237238e-7,0.000003372287,1.6523175e-7,0.000004163697,0.013496168,0.0000030927931,0.9372591,0.028787045,0.02043944],"study_design_scores_gemma":[0.00005515466,0.000014166936,0.000001274021,0.000010513111,0.000007680038,3.0533607e-7,0.0000012224543,0.13675494,0.000010950965,0.57508844,0.2879123,0.00014301094],"about_ca_topic_score_codex":0.0000062239396,"about_ca_topic_score_gemma":0.000006437603,"teacher_disagreement_score":0.5171298,"about_ca_system_score_codex":0.00003526503,"about_ca_system_score_gemma":0.00008372927,"threshold_uncertainty_score":0.99838877},"labels":[],"label_agreement":null},{"id":"W4254519030","doi":"10.1007/978-1-4614-6170-8_100474","title":"Simulation Modeling","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.2860056442732782,"score_gpt":0.44649159323669646,"score_spread":0.16048594896341828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254519030","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000003871663,0.000011054986,0.5049461,0.00012722482,0.00003283024,0.00011715844,0.0000038157946,0.00011134245,0.49464658],"genre_scores_gemma":[0.25964102,0.0000038190933,0.0033272733,0.0002955357,0.00015870764,0.0000053330855,0.000014941273,0.000022752685,0.7365306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978058,0.000011470722,0.00068609405,0.0004670673,0.00093085604,0.000098727825],"domain_scores_gemma":[0.9972451,0.0010705993,0.00023184942,0.00086555904,0.00051809027,0.000068807385],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007836832,0.00016800998,0.00026100504,0.00026285934,0.00011121132,0.00015513811,0.00045191008,0.00026061726,0.0065219244],"category_scores_gemma":[0.00033753418,0.00012722096,0.0001737192,0.000053902895,0.000026238235,0.00006498049,0.00008919125,0.00014666046,0.003241568],"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":[8.4398545e-7,9.994551e-7,0.0000010621235,4.1529663e-7,0.000001991423,6.839059e-8,0.000004737171,0.40785605,7.9399376e-7,0.5474753,0.002099006,0.04255877],"study_design_scores_gemma":[0.000016143034,0.0000034937138,2.8260985e-7,0.0000037739285,0.0000031697612,8.9989264e-8,9.684344e-7,0.39996958,0.0000013037642,0.30961955,0.2903152,0.00006642923],"about_ca_topic_score_codex":0.000004305803,"about_ca_topic_score_gemma":0.0000039132897,"teacher_disagreement_score":0.50161886,"about_ca_system_score_codex":0.000026922266,"about_ca_system_score_gemma":0.00002465575,"threshold_uncertainty_score":0.9975345},"labels":[],"label_agreement":null},{"id":"W4254603053","doi":"10.1109/wsc.1989.718753","title":"Watmins Jit/Kanban Benchmark Summary and Recommendations","year":2005,"lang":"en","type":"article","venue":"1989 Winter Simulation Conference Proceedings","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":"University of Waterloo","funders":"","keywords":"Kanban; Benchmark (surveying); Computer science; Queue; Process (computing); Work (physics); Production (economics); Queueing theory; Operations research; Inventory control; Manufacturing engineering; Industrial engineering; Control (management); Production control; Work in process; Operations management; Engineering; Mechanical engineering; Artificial intelligence","score_opus":0.10603906905576382,"score_gpt":0.4041947965707841,"score_spread":0.2981557275150203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254603053","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":[0.5008098,0.00013768915,0.28931895,0.06371116,0.00040113155,0.0018867209,0.00011500914,0.0009823935,0.14263716],"genre_scores_gemma":[0.9837424,0.000024493205,0.009297156,0.000903315,0.00021948687,0.00006349966,0.000030347614,0.000018349947,0.0057009584],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99748105,0.000028091741,0.00085247983,0.0007054156,0.0006477317,0.00028520773],"domain_scores_gemma":[0.99737364,0.0006181722,0.00033000816,0.00031004174,0.0011735819,0.00019453012],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009915497,0.0002304818,0.00026980642,0.0003843986,0.00036531757,0.00076729397,0.000524434,0.00013580821,0.002570653],"category_scores_gemma":[0.00072110957,0.00019880077,0.000089228815,0.000667705,0.00012606093,0.0014326953,0.00020692304,0.00021011331,0.00024373998],"study_design_candidate":"design_other","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":[0.0000740595,0.00025624788,0.049137484,0.000016871225,0.000041421437,6.6729734e-7,0.008069433,0.0017278527,0.0018283915,0.07399061,0.1011518,0.76370513],"study_design_scores_gemma":[0.00038105663,0.000058122976,0.0099037755,0.000047470807,0.000016684806,0.000005516071,0.0009804011,0.48314312,0.00074509106,0.030002316,0.47439882,0.0003176199],"about_ca_topic_score_codex":0.00001053036,"about_ca_topic_score_gemma":0.000018876075,"teacher_disagreement_score":0.76338756,"about_ca_system_score_codex":0.00006453175,"about_ca_system_score_gemma":0.00004753961,"threshold_uncertainty_score":0.99834114},"labels":[],"label_agreement":null},{"id":"W4254874564","doi":"10.1007/978-1-84628-622-3_8","title":"Simulation with CTDS Models","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Differential equation; Applied mathematics; Mathematical optimization; Mathematics; Calculus (dental); Mathematical analysis","score_opus":0.3819301953231149,"score_gpt":0.46040802826450844,"score_spread":0.07847783294139354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254874564","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000031485006,0.000013652149,0.45862418,0.000090649184,0.000021366626,0.00021633263,0.000008600528,0.00012345193,0.5408986],"genre_scores_gemma":[0.09835786,0.000004957167,0.0118344575,0.00044638888,0.00013482734,0.00000774617,0.000022280276,0.000035785153,0.8891557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99730295,0.0000071322893,0.00061877276,0.0005319227,0.001398023,0.0001412276],"domain_scores_gemma":[0.9966928,0.0011821617,0.0003224947,0.0008907455,0.00081453874,0.00009728276],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007443426,0.00021887137,0.00027643572,0.00041911346,0.00010920479,0.00015924736,0.000450311,0.00024712173,0.0070214057],"category_scores_gemma":[0.000060382306,0.00014264822,0.00011526632,0.000107497915,0.00009815657,0.00024570237,0.0000648171,0.00018310425,0.00089810195],"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":[0.000007675867,0.000005089245,0.0000025822087,6.1470257e-7,0.000006246155,9.927089e-7,0.00003588787,0.12629962,2.873072e-7,0.81650084,0.0022508139,0.05488935],"study_design_scores_gemma":[0.000049049297,0.000022119752,0.0000022833751,0.000008500582,0.000007833963,5.1770394e-7,0.000007399724,0.1607437,0.0000059901,0.45374253,0.38527653,0.00013353869],"about_ca_topic_score_codex":0.000008955196,"about_ca_topic_score_gemma":0.000051641036,"teacher_disagreement_score":0.4467897,"about_ca_system_score_codex":0.000042819953,"about_ca_system_score_gemma":0.00005390997,"threshold_uncertainty_score":0.99987984},"labels":[],"label_agreement":null},{"id":"W4255220943","doi":"10.1109/pads.2004.1301281","title":"Performance of a mixed shared/distributed memory parallel network simulator","year":2004,"lang":"en","type":"article","venue":"","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid","keywords":"Computer science; Shared memory; Message passing; Distributed memory; Distributed shared memory; Parallel computing; Data diffusion machine; Uniform memory access; Latency (audio); Memory management; Distributed computing; Operating system; Semiconductor memory","score_opus":0.07899888085080797,"score_gpt":0.36457305901350684,"score_spread":0.28557417816269887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255220943","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":[0.82049316,0.000031847696,0.17402597,0.0005245979,0.00006751853,0.00030385118,0.000036740603,0.00014685077,0.0043694503],"genre_scores_gemma":[0.9816956,0.000005612444,0.017339403,0.0001292567,0.000054951226,0.000024748519,0.00002066662,0.000006600954,0.0007231577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831855,0.000025488755,0.0006048428,0.00027195705,0.00059262855,0.00018654575],"domain_scores_gemma":[0.998484,0.0003106502,0.0001995724,0.00060398894,0.00031914603,0.000082623126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069293915,0.00009687359,0.00020877631,0.00007163942,0.00012229016,0.00004919369,0.00050707796,0.00006937288,0.00088100764],"category_scores_gemma":[0.00021659404,0.00007085036,0.000097673066,0.0009228205,0.000064487125,0.00018863167,0.00009034997,0.00006535708,0.00020470293],"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":[0.000027504793,0.000072491515,0.010781962,0.000003172185,0.000008008314,4.4880196e-7,0.000049233124,0.9555818,0.00021173804,0.013370295,0.013537534,0.0063558277],"study_design_scores_gemma":[0.0027890732,0.00036000166,0.26792088,0.000082657854,0.00003247987,0.0000075716234,0.00036133273,0.49532068,0.014102937,0.15406594,0.06421855,0.00073788525],"about_ca_topic_score_codex":0.000023876082,"about_ca_topic_score_gemma":0.000008430327,"teacher_disagreement_score":0.4602611,"about_ca_system_score_codex":0.00002836604,"about_ca_system_score_gemma":0.00006192441,"threshold_uncertainty_score":0.9646416},"labels":[],"label_agreement":null},{"id":"W4255223167","doi":"10.1002/9781118014967.ch13","title":"Cross‐Entropy Method","year":2011,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","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":"Université de Montréal","funders":"","keywords":"Cross-entropy method; Monte Carlo method; Mathematical optimization; Adaptive sampling; Computer science; Closeness; Importance sampling; Cross entropy; Entropy (arrow of time); Divergence (linguistics); Algorithm; Sampling (signal processing); Kullback–Leibler divergence; Continuous optimization; Principle of maximum entropy; Optimization problem; Mathematics; Artificial intelligence; Statistics; Multi-swarm optimization","score_opus":0.10111821668862134,"score_gpt":0.42360778867153676,"score_spread":0.3224895719829154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255223167","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":[0.000030811232,0.00039974105,0.7992687,0.000099323624,0.00020985454,0.00079074875,0.0019922892,0.00016276003,0.19704571],"genre_scores_gemma":[0.00017404786,0.0003707613,0.6777102,0.0000690816,0.000054595526,0.000087955836,0.000049182032,0.00007412447,0.3214101],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978356,0.00021972838,0.0006775991,0.0006347171,0.0004311764,0.00020119581],"domain_scores_gemma":[0.9979409,0.00069086876,0.0003082721,0.00082324614,0.00015101607,0.00008568305],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013993224,0.0002116336,0.00041934938,0.00019340453,0.00008148927,0.00017183476,0.0004282999,0.0002747217,0.009858482],"category_scores_gemma":[0.0016925305,0.00017279023,0.000040455212,0.00032712411,0.00048253493,0.00009292216,0.00017461552,0.00021234647,0.00008931409],"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":[0.000029456152,0.00007687017,0.008306885,0.000052575542,0.000009070111,0.0000031532304,0.00024978747,0.000011582473,0.0000013422572,0.61917645,0.2631441,0.108938746],"study_design_scores_gemma":[0.00007628528,0.000028403789,0.0014232766,0.0000271629,0.000004903533,0.0000021299707,0.000017671064,0.00022067344,0.000009695725,0.5182898,0.4797766,0.00012339892],"about_ca_topic_score_codex":0.00032478425,"about_ca_topic_score_gemma":0.00077974977,"teacher_disagreement_score":0.2166325,"about_ca_system_score_codex":0.000029135406,"about_ca_system_score_gemma":0.000065727356,"threshold_uncertainty_score":0.99104667},"labels":[],"label_agreement":null},{"id":"W4255580823","doi":"10.1109/pads.1999.766166","title":"On learning algorithms and balancing loads in Time Warp","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Load balancing (electrical power); Algorithm; Workstation; Distributed computing; Parallel computing; Real-time computing","score_opus":0.049838208362885744,"score_gpt":0.37766019268734746,"score_spread":0.32782198432446175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255580823","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":[0.7725461,0.00002709185,0.078116626,0.00049069617,0.000028204911,0.0001999913,7.8942685e-7,0.00013210703,0.1484584],"genre_scores_gemma":[0.9811127,0.0000031423115,0.00557688,0.00021291037,0.0000062449767,0.0000071992927,5.1882085e-7,0.0000036230792,0.013076755],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991299,0.00006115936,0.00020123934,0.00020662358,0.00030924942,0.0000918577],"domain_scores_gemma":[0.9990554,0.0006787718,0.00003804734,0.00015209008,0.000037338545,0.00003838294],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011076164,0.000048214333,0.000084933396,0.00012773911,0.000067788096,0.000089150555,0.000106747255,0.00003453443,0.0011056616],"category_scores_gemma":[0.0007344072,0.000034997014,0.000016453456,0.0003783193,0.00001740309,0.00007057702,0.000021277041,0.00008379765,0.00036959595],"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":[0.000014744078,0.00019947207,0.18795583,0.0000023401158,0.0000059752138,0.0000071318873,0.00082711055,0.008149175,0.0036905105,0.30852035,0.01729729,0.47333008],"study_design_scores_gemma":[0.0009923786,0.00019844492,0.06811332,0.000029882052,0.0000037407526,0.000013480524,0.0006173122,0.2729632,0.014197894,0.41178465,0.23061176,0.000473927],"about_ca_topic_score_codex":0.000012730581,"about_ca_topic_score_gemma":0.0000023050543,"teacher_disagreement_score":0.47285613,"about_ca_system_score_codex":0.000012508,"about_ca_system_score_gemma":0.000009043241,"threshold_uncertainty_score":0.9998075},"labels":[],"label_agreement":null},{"id":"W4255700447","doi":"10.1145/3467001.3467002","title":"Verification column","year":2021,"lang":"en","type":"article","venue":"ACM SIGLOG News","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Column (typography); Computer science; Quarter (Canadian coin); Field (mathematics); State (computer science); Work (physics); Mathematics; Engineering; Algorithm; Telecommunications; Mechanical engineering; Art; Geography","score_opus":0.23004888814771898,"score_gpt":0.45732981026799424,"score_spread":0.22728092212027526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255700447","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":[0.5475341,0.00054960145,0.20577827,0.05322624,0.0008115682,0.00086552434,0.000061266976,0.00077522575,0.19039822],"genre_scores_gemma":[0.9708925,0.000027716826,0.015612543,0.0015070997,0.00009701326,0.00004408943,0.00002279252,0.000007433406,0.011788823],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986529,0.000076427794,0.00035203897,0.000353291,0.0004504126,0.00011496624],"domain_scores_gemma":[0.99723136,0.00074123853,0.00010857522,0.0014938313,0.00036077778,0.00006419185],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00042174952,0.00006199679,0.00011502033,0.00005820499,0.00013234142,0.00017341085,0.0006147339,0.00006256489,0.001951297],"category_scores_gemma":[0.0036319292,0.0000545184,0.000068751164,0.0008411663,0.000034817487,0.00013972912,0.00014843648,0.000065391505,0.0013931262],"study_design_candidate":"not_applicable","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":[0.000006971266,0.00012544199,0.028649697,0.000001517875,0.000008313163,0.000006496624,0.00023481641,0.0001327401,0.028409509,0.061269406,0.4215512,0.45960388],"study_design_scores_gemma":[0.0001059763,0.000010078505,0.025388272,0.0000017573899,0.0000036881463,0.0000046021123,0.0002326215,0.00046753275,0.012964989,0.14810403,0.81263226,0.00008420801],"about_ca_topic_score_codex":0.00003076531,"about_ca_topic_score_gemma":0.000047264217,"teacher_disagreement_score":0.45951968,"about_ca_system_score_codex":0.000020770358,"about_ca_system_score_gemma":0.00007046073,"threshold_uncertainty_score":0.9993844},"labels":[],"label_agreement":null},{"id":"W4255792997","doi":"10.1007/978-1-4614-6170-8_100981","title":"Markov Random Fields","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Markov chain; Statistical physics; Computer science; Mathematics; Statistics; Physics","score_opus":0.09902278851186509,"score_gpt":0.38450539553457597,"score_spread":0.2854826070227109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255792997","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000017241313,0.000026957094,0.2807647,0.000975271,0.000081610044,0.00018869163,0.0000073902315,0.00010640278,0.7178472],"genre_scores_gemma":[0.012837311,0.000027062111,0.0027191131,0.0012434875,0.00020478106,0.00001535954,0.000011535191,0.000018140585,0.9829232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812365,0.000016692678,0.0005808134,0.00041584598,0.00076098944,0.00010198458],"domain_scores_gemma":[0.9971211,0.0013527265,0.00022774357,0.0009743405,0.00024740782,0.000076699755],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009458628,0.00016249508,0.00033273533,0.00018625821,0.00008802713,0.0001410969,0.0006223461,0.00032435535,0.03546064],"category_scores_gemma":[0.00023966437,0.000110727524,0.00023754551,0.000045297555,0.000054774227,0.00003354131,0.00011013744,0.00018207272,0.0037638985],"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":[0.0000050397634,0.0000014150638,0.000004064454,5.738578e-7,0.0000039230804,3.029832e-7,0.0000043439118,0.0000056318745,7.40945e-7,0.5657088,0.30564004,0.12862508],"study_design_scores_gemma":[0.00011410898,0.000008487394,0.0000071046834,0.0000049105556,0.0000052365995,9.330423e-7,0.0000012196011,0.0004650463,0.000013897565,0.3853855,0.613901,0.00009253931],"about_ca_topic_score_codex":0.0000066109183,"about_ca_topic_score_gemma":0.000013352103,"teacher_disagreement_score":0.30826098,"about_ca_system_score_codex":0.000012326386,"about_ca_system_score_gemma":0.000025608257,"threshold_uncertainty_score":0.9970118},"labels":[],"label_agreement":null},{"id":"W4256473325","doi":"10.4018/978-1-59904-947-2.ch303","title":"The Game of Defense and Security","year":2008,"lang":"en","type":"book-chapter","venue":"Electronic Government","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Scope (computer science); Computer security; Engineering; Computer science; Engineering management; World Wide Web","score_opus":0.032803103606397856,"score_gpt":0.30806688486981504,"score_spread":0.27526378126341716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256473325","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00366225,0.008522577,0.0012305478,0.0013750903,0.000063864725,0.00077539386,0.00009822109,0.000050358907,0.9842217],"genre_scores_gemma":[0.6785834,0.005328482,0.00003363618,0.00008701467,0.000044084416,0.000018957882,0.0000018521611,0.00001646046,0.3158861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974437,0.000019950454,0.0004735397,0.00031191992,0.0015575512,0.00019333788],"domain_scores_gemma":[0.9980715,0.00071491644,0.00043350895,0.000648309,0.00008538953,0.000046408746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006594262,0.00014632836,0.0002207211,0.000020908075,0.00013875595,0.000038990718,0.00038256988,0.00011101283,0.0002097727],"category_scores_gemma":[0.00011560373,0.00009346037,0.00011681658,0.000039627826,0.0001703708,0.00002866043,0.00013427988,0.0002379329,0.000037958405],"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":[0.000017565466,0.000012485418,0.000027849896,0.0000016200365,0.000028047794,6.9828786e-7,0.000116220515,0.000004514675,0.000021732261,0.9407963,0.02541546,0.033557512],"study_design_scores_gemma":[0.00006354061,0.000054457738,0.000070782204,0.0000052774285,0.00000899952,0.00000608043,0.000012169024,0.00010804868,0.0001944384,0.2913844,0.70802057,0.000071256596],"about_ca_topic_score_codex":0.000004977836,"about_ca_topic_score_gemma":0.000032644613,"teacher_disagreement_score":0.6826051,"about_ca_system_score_codex":0.00022742187,"about_ca_system_score_gemma":0.00010096044,"threshold_uncertainty_score":0.3811203},"labels":[],"label_agreement":null},{"id":"W42840413","doi":"10.1007/978-1-4471-2783-3_3","title":"DEDS Stochastic Behaviour and Modelling","year":2013,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Domain (mathematical analysis); Context (archaeology); Random variate; Variety (cybernetics); Stochastic process; Process (computing); Random variable; Mathematics; Artificial intelligence; Geography; Statistics","score_opus":0.2317049187880206,"score_gpt":0.4974847509078379,"score_spread":0.26577983211981726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W42840413","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":[0.00005911854,0.00062153547,0.93197805,0.00051176274,0.00005930332,0.001969703,0.000108597545,0.00021106892,0.06448083],"genre_scores_gemma":[0.088647,0.0003643267,0.5659611,0.00036511885,0.0005373239,0.0014787962,0.00049298006,0.00017076744,0.34198257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961878,0.0001353776,0.001463508,0.0012056828,0.00074529933,0.0002623309],"domain_scores_gemma":[0.9925945,0.0039738724,0.0008762365,0.0011997541,0.0010717979,0.00028384934],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018890427,0.00047383405,0.0006008833,0.00068178476,0.0010377921,0.00084126956,0.00042923514,0.00047203634,0.0017279381],"category_scores_gemma":[0.0002913354,0.0004457966,0.00016625236,0.00031811316,0.00035079804,0.00046382798,0.0002408963,0.00043192072,0.0004237318],"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":[0.0000027609492,0.0000210391,0.000033521137,0.000007701577,0.000022059436,7.1159974e-8,0.00006168507,0.068061054,0.000010366231,0.63089526,0.00033263268,0.30055186],"study_design_scores_gemma":[0.000104448176,0.0000122980855,0.000074443706,0.000016284544,0.000080661106,0.000002998421,0.000033171742,0.31166077,0.000003279589,0.4539087,0.23382807,0.0002748717],"about_ca_topic_score_codex":0.000023842453,"about_ca_topic_score_gemma":0.0000046648133,"teacher_disagreement_score":0.36601695,"about_ca_system_score_codex":0.000075082266,"about_ca_system_score_gemma":0.0001001451,"threshold_uncertainty_score":0.9997994},"labels":[],"label_agreement":null},{"id":"W4286364944","doi":"","title":"Advances in Modeling and Simulation: Festschrift for Pierre L'Ecuyer","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.06143751844150614,"score_gpt":0.36564561926844114,"score_spread":0.304208100826935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286364944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041216265,0.0032056586,0.92221314,0.005889528,0.00015787606,0.0013105331,0.00013396487,0.00020325017,0.025669804],"genre_scores_gemma":[0.93229866,0.00084195996,0.06256129,0.00011062315,0.000027900718,0.00058569165,0.00024304882,0.000039641476,0.00329116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99445254,0.002164382,0.001059891,0.00117835,0.00084491854,0.00029993008],"domain_scores_gemma":[0.98862845,0.0066077295,0.000597094,0.0019863406,0.0020414945,0.00013892415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010482358,0.00029117963,0.00044978716,0.00047626428,0.00055076793,0.0005715794,0.0014009059,0.00023182803,0.00038122357],"category_scores_gemma":[0.0047106207,0.00029675526,0.00019595228,0.0007569459,0.00012656204,0.00035142753,0.001532448,0.00055648095,0.000008761978],"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":[0.000031566244,0.0003149561,0.004756438,0.00007492574,0.000013918619,0.0000012433301,0.0045125457,0.54842764,0.000070545946,0.13415523,0.00039899902,0.30724198],"study_design_scores_gemma":[0.0003364768,3.7572562e-7,0.0006306161,0.0001834694,0.000010764048,0.000001100134,0.00025189828,0.8064142,0.00022276393,0.10859869,0.08308179,0.00026788877],"about_ca_topic_score_codex":0.00020328032,"about_ca_topic_score_gemma":0.00064043683,"teacher_disagreement_score":0.8910824,"about_ca_system_score_codex":0.0000851644,"about_ca_system_score_gemma":0.0002024976,"threshold_uncertainty_score":0.99994844},"labels":[],"label_agreement":null},{"id":"W4286447260","doi":"","title":"Étude d'impact du paramétrage des temps de défilement sur la performance d'un déploiement de la méthode DDMRP","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Humanities; Philosophy","score_opus":0.0445567381246698,"score_gpt":0.3228968209312132,"score_spread":0.2783400828065434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286447260","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":[0.4858918,0.0007062204,0.48531407,0.0033713777,0.00010418013,0.00090962445,0.00015212569,0.00024885064,0.023301745],"genre_scores_gemma":[0.8103295,0.004401281,0.17323393,0.00019028145,0.000050775,0.00035844956,0.00020727595,0.0000843778,0.011144119],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.97801524,0.016248027,0.001648978,0.0015455518,0.0014811219,0.001061049],"domain_scores_gemma":[0.9774976,0.013835171,0.0012056548,0.003932174,0.002925657,0.0006037483],"candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.038235962,0.0007654356,0.00080400036,0.000416216,0.0010854097,0.0017697007,0.003565954,0.0007008296,0.0019761503],"category_scores_gemma":[0.004541898,0.0007419065,0.0006437072,0.0011243767,0.0009730825,0.00052152545,0.002027509,0.0012202061,0.00037128484],"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":[0.00008236419,0.0036985786,0.30148667,0.0003272913,0.00034772904,0.000018352579,0.022804732,0.037084047,0.0059743784,0.17648795,0.008617011,0.4430709],"study_design_scores_gemma":[0.001590563,0.0000067376295,0.38318938,0.0026722199,0.0001894657,0.00011192093,0.00042158779,0.29563564,0.0783977,0.04179787,0.19453509,0.0014518525],"about_ca_topic_score_codex":0.0030453543,"about_ca_topic_score_gemma":0.00052285055,"teacher_disagreement_score":0.44161904,"about_ca_system_score_codex":0.00097139704,"about_ca_system_score_gemma":0.0012630774,"threshold_uncertainty_score":0.9995032},"labels":[],"label_agreement":null},{"id":"W4286799190","doi":"10.11128/fbs.39","title":"Cooperative and Multirate Simulation: Analysis, Classification and New Hierarchical Approaches","year":2022,"lang":"en","type":"book","venue":"ARGESIM Vienna eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Kassel; University of Illinois at Urbana-Champaign; Vlaamse regering; Universität Stuttgart; Sveučilište u Zagrebu; Tsinghua University; Deutsches Zentrum für Luft- und Raumfahrt; Aalto-Yliopisto; University of Cambridge; Linköpings Universitet; Flanders Make; Karl-Franzens-Universität Graz; Universidade de Coimbra; McGill University","keywords":"Computer science","score_opus":0.3658047439333737,"score_gpt":0.4060809776663409,"score_spread":0.04027623373296718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286799190","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004897735,0.0017029777,0.22337146,0.0022645488,0.00019730603,0.003812267,0.0005008018,0.00054767856,0.7627052],"genre_scores_gemma":[0.35334897,0.00004343364,0.0022993493,0.00036892365,0.00017037653,0.00014295141,0.00028864012,0.00004307714,0.6432943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99627966,0.0002839248,0.00096719625,0.0012304048,0.0009909585,0.00024784118],"domain_scores_gemma":[0.9960764,0.0019114156,0.0005674907,0.0009207953,0.00022725371,0.00029664094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012865473,0.0003744316,0.0006855641,0.00078346324,0.0006373063,0.00041984319,0.0004870147,0.000283923,0.0007129377],"category_scores_gemma":[0.0002990012,0.0003188529,0.00019564392,0.0004918763,0.00032255444,0.00014434218,0.00036776206,0.00053726666,0.000031409058],"study_design_candidate":"not_applicable","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":[0.00013394862,0.00011206168,0.0020733734,0.000030576975,0.00078510906,0.000009099205,0.004476813,0.020264126,0.000103066246,0.5412147,0.024666209,0.4061309],"study_design_scores_gemma":[0.00034201387,0.00007407748,0.0035294523,0.000009194978,0.0003221991,0.0000029485636,0.0002020731,0.27937147,0.00001518487,0.08095828,0.6347261,0.00044702625],"about_ca_topic_score_codex":0.000011887113,"about_ca_topic_score_gemma":0.0000318886,"teacher_disagreement_score":0.61005986,"about_ca_system_score_codex":0.00009391617,"about_ca_system_score_gemma":0.00031997653,"threshold_uncertainty_score":0.9999263},"labels":[],"label_agreement":null},{"id":"W4286841903","doi":"10.1007/978-3-031-10193-9","title":"Advances in Modeling and Simulation","year":2022,"lang":"en","type":"book","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.14163314936752044,"score_gpt":0.4566913162338662,"score_spread":0.3150581668663458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286841903","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000092275994,0.0008611372,0.15426098,0.00012290833,0.000040425257,0.00030269337,0.000011913722,0.000071685485,0.84423596],"genre_scores_gemma":[0.12977938,0.0005096332,0.002324748,0.00021396522,0.000063419124,0.000066771114,0.00004097558,0.000020529664,0.86698055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983146,0.000033169465,0.00050712645,0.0004087906,0.0006517192,0.00008455198],"domain_scores_gemma":[0.998523,0.000888461,0.00013494014,0.00033333048,0.0000881517,0.000032127788],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007756962,0.00010446414,0.00019889831,0.0003756712,0.00009764155,0.00008170141,0.00025806183,0.000089316585,0.002689055],"category_scores_gemma":[0.00019185616,0.000087155175,0.000043130003,0.00023141541,0.000021393893,0.0002447964,0.00015288484,0.00017930797,0.000029552137],"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":[0.0000026644288,0.000005477405,0.0000519375,0.0000017703533,4.695108e-7,3.7936627e-7,0.000040543993,0.83218414,2.6813305e-7,0.033352945,0.0013599817,0.13299942],"study_design_scores_gemma":[0.00002859389,0.0000041773587,0.0000036632064,0.000002893377,8.8047653e-7,1.615204e-7,0.00002297316,0.41639242,1.5909811e-7,0.26735327,0.31614223,0.000048593647],"about_ca_topic_score_codex":0.0000060394595,"about_ca_topic_score_gemma":0.000026553818,"teacher_disagreement_score":0.41579175,"about_ca_system_score_codex":0.00007318673,"about_ca_system_score_gemma":0.000067024324,"threshold_uncertainty_score":0.99822265},"labels":[],"label_agreement":null},{"id":"W4287592446","doi":"","title":"CoSim20: An Integrated Development Environment for Accurate and Efficient Distributed Co-Simulations","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","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":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Distributed computing; Systems engineering; Engineering","score_opus":0.07733048127634522,"score_gpt":0.3400016440485855,"score_spread":0.2626711627722403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287592446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08070857,0.00012956763,0.9077537,0.007268866,0.00006646927,0.0015610359,0.0014263554,0.00028516573,0.000800242],"genre_scores_gemma":[0.8247397,0.000047678634,0.1689932,0.00013188968,0.00001996305,0.00029237915,0.004703289,0.000044505618,0.0010274198],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99376565,0.0022586659,0.0012732272,0.0014395468,0.00091063965,0.00035226764],"domain_scores_gemma":[0.99030036,0.0042637475,0.0008780229,0.002078059,0.002076789,0.00040299562],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005753854,0.00042643867,0.0005293748,0.00026482926,0.0007505228,0.0010200349,0.0015234362,0.00031469794,0.00029168435],"category_scores_gemma":[0.003414201,0.00039816412,0.00017157455,0.0005303687,0.00027727964,0.00014158904,0.001068031,0.00045977838,0.00006357817],"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":[0.00018631043,0.0038891127,0.005793421,0.00024127761,0.00037537556,0.00000575326,0.030974897,0.105343364,0.0071310634,0.18154156,0.013895143,0.6506227],"study_design_scores_gemma":[0.00071911135,0.0000015997759,0.007311243,0.00025507956,0.000051559822,0.000002386721,0.0003274572,0.5685478,0.021560885,0.012384221,0.38817802,0.00066062],"about_ca_topic_score_codex":0.000110578905,"about_ca_topic_score_gemma":0.00017201515,"teacher_disagreement_score":0.74403113,"about_ca_system_score_codex":0.00019629207,"about_ca_system_score_gemma":0.00037776583,"threshold_uncertainty_score":0.999847},"labels":[],"label_agreement":null},{"id":"W4287831525","doi":"10.1145/3543849","title":"The DEVStone Metric: Performance Analysis of DEVS Simulation Engines","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","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":"Ministerio de Ciencia e Innovación","keywords":"DEVS; Benchmark (surveying); Discrete event simulation; Metric (unit); Computer science; Formalism (music); Performance metric; Modeling and simulation; Simulation; Engineering","score_opus":0.10120503686315428,"score_gpt":0.3780876981216702,"score_spread":0.2768826612585159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287831525","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":[0.2988578,0.000047792022,0.70065695,0.00014015117,0.000073818854,0.00014194813,0.000012705011,0.00005132884,0.000017477005],"genre_scores_gemma":[0.99256116,0.000027393813,0.007170401,0.00007421655,0.000022384702,0.000040410654,0.000013654385,0.000008743461,0.00008163417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979667,0.00012964067,0.0006436739,0.00033298787,0.0007965383,0.00013047435],"domain_scores_gemma":[0.99595594,0.0027557767,0.00019792934,0.00069777324,0.00034951093,0.00004304168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152176,0.000116282186,0.0002136754,0.0008648887,0.0012598501,0.00010898329,0.00044070234,0.000039868213,0.00005123612],"category_scores_gemma":[0.00007994505,0.000089546855,0.00015390008,0.0030870242,0.00003281605,0.00019815235,0.00003411084,0.00015969672,0.0000025568345],"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":[0.000023460452,0.000030791733,0.000209177,7.90683e-7,0.00005216618,2.9724855e-8,0.00016700798,0.7392313,0.0000033866845,0.0001575069,0.0000018774188,0.2601225],"study_design_scores_gemma":[0.00015942636,0.00008174157,0.0016153482,0.0000020499865,0.00013398443,3.6348914e-7,0.00009288856,0.99418056,0.00002849006,0.0027435306,0.00086352194,0.00009810421],"about_ca_topic_score_codex":0.000024234343,"about_ca_topic_score_gemma":0.0000059589943,"teacher_disagreement_score":0.69370335,"about_ca_system_score_codex":0.0000415392,"about_ca_system_score_gemma":0.00002184922,"threshold_uncertainty_score":0.9689876},"labels":[],"label_agreement":null},{"id":"W4288268174","doi":"","title":"Creating Personalized Dynamic Models","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.05808209784679552,"score_gpt":0.3364743206087176,"score_spread":0.2783922227619221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288268174","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":[0.041350257,0.00065576826,0.77631855,0.00803573,0.00016380992,0.000847491,0.00014152985,0.00042684106,0.17206004],"genre_scores_gemma":[0.8440202,0.00023434497,0.08783937,0.00017808101,0.000019987021,0.00016340025,0.00034234897,0.000059735936,0.06714255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9894982,0.005769607,0.0012318644,0.0015041102,0.0015830112,0.0004131974],"domain_scores_gemma":[0.9814802,0.00795183,0.0011696564,0.004465513,0.00471074,0.00022207039],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01676585,0.0004267086,0.0006535591,0.0004428567,0.00053427357,0.0012711291,0.0030345623,0.0004513516,0.0008875688],"category_scores_gemma":[0.005438694,0.00040387985,0.0004934437,0.0008373841,0.00028994016,0.0003128768,0.0021580285,0.0007965904,0.00036468604],"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":[0.000039026414,0.000784383,0.0020455043,0.00011907324,0.00013010763,0.0000037576253,0.018637445,0.023173528,0.0018050238,0.7832799,0.007205773,0.16277647],"study_design_scores_gemma":[0.0003739814,2.3165974e-7,0.0010684717,0.0005715494,0.00003197761,0.000004683491,0.0003007089,0.76524246,0.001987437,0.2095717,0.02038137,0.00046543096],"about_ca_topic_score_codex":0.00062144926,"about_ca_topic_score_gemma":0.00029612522,"teacher_disagreement_score":0.80266994,"about_ca_system_score_codex":0.00020162214,"about_ca_system_score_gemma":0.0004444349,"threshold_uncertainty_score":0.99984133},"labels":[],"label_agreement":null},{"id":"W4290763243","doi":"","title":"WIP on a Coordination Language to Automate the Generation of Co-Simulations","year":2019,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Software engineering; Programming language; Systems engineering; Engineering","score_opus":0.04720171724151647,"score_gpt":0.3429403535189879,"score_spread":0.29573863627747143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290763243","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":[0.80570585,0.000033804045,0.14557193,0.018984461,0.0000720154,0.00078660034,0.00006575503,0.00014221008,0.028637365],"genre_scores_gemma":[0.9786117,0.0000042848974,0.006797883,0.0003576356,0.00001748532,0.000045004872,0.000097818665,0.000015980468,0.01405218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962872,0.0017195303,0.0005699424,0.0004389021,0.0008200261,0.00016437937],"domain_scores_gemma":[0.99270725,0.0032510464,0.0003590621,0.0017984405,0.0017819501,0.000102234124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005508965,0.00013240991,0.0001812013,0.00026847929,0.00030446454,0.0002455305,0.000883788,0.00006558754,0.00063946855],"category_scores_gemma":[0.0028398184,0.000100333375,0.00010366648,0.0010962549,0.00008141558,0.00017871475,0.00013480624,0.00012197273,0.00041291543],"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":[0.000023466277,0.00045890902,0.011267203,0.000011874302,0.00002463277,4.8645177e-7,0.012161398,0.010951735,0.12812978,0.72516155,0.013560937,0.09824802],"study_design_scores_gemma":[0.0006864914,0.0000034193547,0.051819984,0.00021163336,0.000020863994,0.0000022703373,0.0005765026,0.5374979,0.32030693,0.0113148615,0.077174954,0.00038424594],"about_ca_topic_score_codex":0.00013733597,"about_ca_topic_score_gemma":0.00019527729,"teacher_disagreement_score":0.7138467,"about_ca_system_score_codex":0.00004851471,"about_ca_system_score_gemma":0.00007713725,"threshold_uncertainty_score":0.7001732},"labels":[],"label_agreement":null},{"id":"W4292794174","doi":"10.23919/annsim55834.2022.9859369","title":"Devs Model Construction As A Reinforcement Learning Problem","year":2022,"lang":"en","type":"article","venue":"","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":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; DEVS; Rotation formalisms in three dimensions; Reinforcement learning; Reuse; Python (programming language); Reusability; Automation; Software engineering; Generalizability theory; Software; Artificial intelligence; Human–computer interaction; Distributed computing; Modeling and simulation; Programming language; Simulation; Engineering","score_opus":0.10086430685417919,"score_gpt":0.39946199432634844,"score_spread":0.29859768747216925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292794174","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":[0.021208,0.0000039754827,0.77073884,0.00097415573,0.000025602209,0.000271049,0.0000010855697,0.00019130009,0.20658597],"genre_scores_gemma":[0.9199912,0.000001437401,0.028959839,0.00037903473,0.000009234228,0.00017095123,0.0000058446235,0.000004438185,0.05047802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850446,0.00004585939,0.00034009726,0.00022261667,0.0007849391,0.00010201926],"domain_scores_gemma":[0.9993567,0.00011875744,0.00012934022,0.00023537097,0.000117707765,0.000042115884],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008376597,0.00005265751,0.000074808144,0.00013291217,0.00056674343,0.000086069755,0.00025704308,0.000016273767,0.0063080685],"category_scores_gemma":[0.00010521988,0.00004375339,0.000047652706,0.0005093282,0.000026684278,0.00012290047,0.00020335417,0.00012791324,0.00017165554],"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":[0.000003916419,0.000006971606,0.00033647497,1.9968115e-7,0.0000012786812,1.0931566e-7,0.00012064037,0.7304492,0.00018205393,0.24064569,0.0027096693,0.025543798],"study_design_scores_gemma":[0.0000862144,0.000039680464,0.000018736024,4.051979e-7,0.0000016442316,0.000007511662,0.0009541966,0.7083442,0.00041866448,0.17552264,0.1145479,0.000058191814],"about_ca_topic_score_codex":0.00003515769,"about_ca_topic_score_gemma":0.0000014404158,"teacher_disagreement_score":0.8987832,"about_ca_system_score_codex":0.00005324233,"about_ca_system_score_gemma":0.000065499196,"threshold_uncertainty_score":0.9946003},"labels":[],"label_agreement":null},{"id":"W4292829946","doi":"10.23919/annsim55834.2022.9859291","title":"Enabling Collaborative Modeling Through A Web Library of DEVS Models","year":2022,"lang":"en","type":"article","venue":"","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":"Carleton University","funders":"","keywords":"Computer science; DEVS; Domain (mathematical analysis); Process (computing); Process modeling; Software engineering; Modeling and simulation; Systems engineering; Data science; Work in process; Engineering; Simulation; Programming language","score_opus":0.20314389508545264,"score_gpt":0.40787090465653364,"score_spread":0.204727009571081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292829946","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":[0.09668675,0.00021595026,0.75678486,0.0016108328,0.000046986344,0.0003993156,0.00011279813,0.00022139082,0.14392114],"genre_scores_gemma":[0.95165586,0.000021583384,0.04494117,0.00047889736,0.000015832842,0.00009243663,0.00000771866,0.0000096485555,0.0027768763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982443,0.000092012924,0.0005201969,0.00027823134,0.0007560188,0.00010928137],"domain_scores_gemma":[0.9988035,0.00039913383,0.00015205848,0.00040734984,0.00020530056,0.00003265003],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005283679,0.00007055856,0.00016285076,0.00015235701,0.00028132228,0.00007896817,0.0005399537,0.000024541603,0.0027185245],"category_scores_gemma":[0.000079172765,0.00005669999,0.00006467553,0.0019891341,0.000027248017,0.00081876735,0.00037514154,0.00009314231,0.000012063521],"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":[0.000010901815,0.00003644253,0.000066381646,6.301474e-7,0.0000036880735,2.7495008e-7,0.0007697537,0.7271945,0.00041209304,0.2636039,0.006136913,0.0017645147],"study_design_scores_gemma":[0.000076075215,0.000017171767,8.952667e-7,0.0000010051319,0.0000016426695,4.776868e-7,0.0033130378,0.6401619,0.0013495802,0.3365462,0.018483566,0.000048502116],"about_ca_topic_score_codex":0.00002214483,"about_ca_topic_score_gemma":0.0000017405858,"teacher_disagreement_score":0.8549691,"about_ca_system_score_codex":0.000015220249,"about_ca_system_score_gemma":0.00019396609,"threshold_uncertainty_score":0.99819314},"labels":[],"label_agreement":null},{"id":"W4292830192","doi":"10.23919/annsim55834.2022.9859387","title":"Controller Area Network Discrete-Event System Specification For Independent Node Testing","year":2022,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Porting; Discrete event simulation; Embedded system; Software; Formalism (music); Real-time computing; Modeling and simulation; Simulation; Operating system","score_opus":0.19932816283229152,"score_gpt":0.3989571028666478,"score_spread":0.1996289400343563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292830192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041906955,0.00004062709,0.97337216,0.0014119559,0.00018280667,0.0012925394,0.00005279215,0.0002536981,0.019202698],"genre_scores_gemma":[0.9792217,4.869647e-7,0.01518256,0.00024543717,0.00016595512,0.00122724,0.000020467534,0.000012547034,0.0039236257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976888,0.00010239571,0.00068366353,0.00042905498,0.00088572083,0.00021038986],"domain_scores_gemma":[0.9970776,0.0017418452,0.00033703956,0.00047843327,0.00029668742,0.000068424815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025783312,0.000098882294,0.0001973807,0.000096069365,0.00078975497,0.00015871419,0.0005361824,0.00003100383,0.0006069954],"category_scores_gemma":[0.0003807877,0.000075988515,0.00011753946,0.00072802673,0.000017761948,0.00008636345,0.00017216515,0.00009750753,0.000043773474],"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":[0.00010613615,0.0001335094,0.017682675,0.0000069604253,0.000020480617,0.0000010372895,0.00015650237,0.4394663,0.000945547,0.36857966,0.12713172,0.045769513],"study_design_scores_gemma":[0.0005640773,0.00006807289,0.006341677,0.000007977697,0.000012655543,0.0000070174387,0.0016749188,0.7981494,0.00010378118,0.036066234,0.15683177,0.00017239916],"about_ca_topic_score_codex":0.000025514517,"about_ca_topic_score_gemma":0.0000051250618,"teacher_disagreement_score":0.97503096,"about_ca_system_score_codex":0.00014938727,"about_ca_system_score_gemma":0.000036396646,"threshold_uncertainty_score":0.6646174},"labels":[],"label_agreement":null},{"id":"W4293008169","doi":"10.11159/icepr22.134","title":"On The Democratization of the Fluid Flow Simulation","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Democratization; Fluid dynamics; Computer science; Flow (mathematics); Mechanics; Political science; Physics; Democracy; Law","score_opus":0.06007438097793624,"score_gpt":0.3388283712584643,"score_spread":0.27875399028052805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293008169","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":[0.8348366,0.000114713184,0.00089617464,0.14270107,0.00086524006,0.0029092405,0.000055730037,0.0009065011,0.016714722],"genre_scores_gemma":[0.9929288,0.000004406405,0.00037740354,0.00031571236,0.000013145004,0.00010632092,4.2060188e-7,0.000010594907,0.006243221],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978049,0.000029681029,0.00051551766,0.0002933176,0.0012211214,0.00013545969],"domain_scores_gemma":[0.99686384,0.0013301867,0.00079677097,0.0006948211,0.00030187026,0.00001248236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008684408,0.0001309915,0.0001817545,0.00027277338,0.00067125115,0.00008274814,0.0028296346,0.00005240466,0.000118997545],"category_scores_gemma":[0.0035081415,0.000060783907,0.00014837249,0.0028372782,0.00028536055,0.00011355765,0.0008498267,0.0003056519,0.0000045989073],"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":[0.00008349962,0.0001138863,0.006310033,0.000006444035,0.000022157483,3.8091635e-8,0.00018988401,0.10234124,0.008634522,0.6991628,0.11716005,0.06597548],"study_design_scores_gemma":[0.00019116922,0.000087508786,0.0018361676,0.00005507128,0.000016829355,6.9633603e-7,0.0011967036,0.07873192,0.2690184,0.614524,0.034219366,0.00012216385],"about_ca_topic_score_codex":0.000005284645,"about_ca_topic_score_gemma":0.000005425372,"teacher_disagreement_score":0.2603839,"about_ca_system_score_codex":0.000054437514,"about_ca_system_score_gemma":0.000038865946,"threshold_uncertainty_score":0.5258212},"labels":[],"label_agreement":null},{"id":"W4293118255","doi":"10.1007/978-3-031-01588-5_9","title":"Deep Generative Models","year":2020,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Generative grammar; Computer science; Graph; Theoretical computer science; Key (lock); Artificial intelligence; Generative model; Process (computing); Data science; Programming language","score_opus":0.20662184974014658,"score_gpt":0.3742896252103348,"score_spread":0.16766777547018824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293118255","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":[0.00002277327,0.0005552812,0.6612747,0.003695901,0.00008572343,0.0004033062,0.000027188878,0.00021592756,0.33371925],"genre_scores_gemma":[0.93929166,0.0005969138,0.0037162267,0.0020684453,0.0005524944,0.00007250356,0.000032322172,0.000111854766,0.05355757],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970149,0.00013223093,0.0008198236,0.0009613443,0.0008495649,0.00022218481],"domain_scores_gemma":[0.99632365,0.0024367427,0.0004249834,0.00043533754,0.00020673804,0.0001725387],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006732211,0.00041719532,0.0005651963,0.00035992952,0.0005333137,0.00040063474,0.00051618816,0.00031187164,0.002759636],"category_scores_gemma":[0.0017511896,0.00032225167,0.00023495281,0.00015375706,0.00017314816,0.00011259019,0.00014862408,0.0009062474,0.00088426366],"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":[0.00003172749,0.000008709254,0.0000015630619,0.0000025721022,0.000020333022,0.0000037203483,0.00025024763,0.06161277,0.00007875471,0.46161678,0.00021022733,0.4761626],"study_design_scores_gemma":[0.0000052550267,0.00007886712,0.0000011270461,0.00002935609,0.0000267952,0.00000216518,0.000053184103,0.28859976,0.0052580233,0.6468727,0.05880859,0.00026414858],"about_ca_topic_score_codex":0.000028305038,"about_ca_topic_score_gemma":0.00008054517,"teacher_disagreement_score":0.9392689,"about_ca_system_score_codex":0.000035517907,"about_ca_system_score_gemma":0.000042804953,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W4295047534","doi":"10.1109/mcse.2022.3186227","title":"Formal Modeling and Simulation for SARS-CoV-2 Containment Scenarios in Catalonia","year":2022,"lang":"en","type":"article","venue":"Computing in Science & Engineering","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":"Computer science; Containment (computer programming); Pandemic; Process (computing); Coronavirus disease 2019 (COVID-19); Formal verification; Multidisciplinary approach; Formal specification; Formal methods; Formal description; Formal language; H1n1 pandemic; Software engineering; Programming language; Infectious disease (medical specialty)","score_opus":0.09397985124197986,"score_gpt":0.3996922630386715,"score_spread":0.3057124117966916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295047534","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":[0.5630692,0.000015954249,0.4365239,0.000045103094,0.000052738273,0.00025165,0.0000012840243,0.000028724358,0.0000114090935],"genre_scores_gemma":[0.987034,2.4298376e-7,0.01283478,0.000056967852,0.000016121265,0.000047156373,0.0000015951825,0.0000062532326,0.0000028572747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983045,0.0000145471295,0.00046009631,0.00037787558,0.0005419587,0.00030101425],"domain_scores_gemma":[0.999137,0.0004712944,0.00007266228,0.00021029264,0.00007793996,0.000030850748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040419423,0.000080353384,0.00013078138,0.000534674,0.0003439338,0.00014749491,0.0004394062,0.000017730235,0.0000017860632],"category_scores_gemma":[0.00057903456,0.00008264834,0.000024689316,0.0013211882,0.000035721703,0.00036218858,0.00036641167,0.00012501799,6.795847e-7],"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":[0.000003886036,0.000010280675,0.0035642537,0.0000011021466,2.1662363e-7,3.5418162e-7,0.0005829021,0.9842243,0.0055395295,0.002157312,0.0000021315357,0.0039137295],"study_design_scores_gemma":[0.00031782393,0.000020847594,0.0030356129,0.000009531601,5.88911e-7,0.0000019904048,0.00021099194,0.9942948,0.0008516728,0.0007589395,0.00040006396,0.00009709819],"about_ca_topic_score_codex":0.000050207145,"about_ca_topic_score_gemma":0.000014714384,"teacher_disagreement_score":0.4239648,"about_ca_system_score_codex":0.00022938818,"about_ca_system_score_gemma":0.000053800835,"threshold_uncertainty_score":0.33703014},"labels":[],"label_agreement":null},{"id":"W4297164841","doi":"","title":"Overview of available modeling and simulation protocols","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","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 Laval; EnviroSim (Canada)","funders":"","keywords":"Computer science","score_opus":0.18137617816562437,"score_gpt":0.3872102413445381,"score_spread":0.2058340631789137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297164841","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":[0.095723055,0.0012072347,0.85716563,0.0032684095,0.000058144542,0.009302605,0.000089734756,0.0002739176,0.032911282],"genre_scores_gemma":[0.9099442,0.00029916828,0.078066014,0.00007041048,0.000018441075,0.002467862,0.000098134245,0.000039721614,0.008996059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9939596,0.002587955,0.0012942445,0.0009321754,0.0009903321,0.00023568467],"domain_scores_gemma":[0.98737895,0.0032603748,0.0010588132,0.0028037254,0.00534193,0.00015619972],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0096006,0.00028133276,0.0005362174,0.00032328608,0.000262454,0.00064947404,0.0013633845,0.00031357293,0.0009252961],"category_scores_gemma":[0.0039841295,0.00025854813,0.00019487822,0.0006055111,0.00017809655,0.00028362375,0.0015205436,0.00039155208,0.00012022675],"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":[0.000037262325,0.0014241509,0.0087989755,0.0008546042,0.00013339141,0.0000012090107,0.00979133,0.17332537,0.0039931545,0.4093158,0.0077091632,0.3846156],"study_design_scores_gemma":[0.00021446482,3.3382955e-7,0.00044516078,0.00094416505,0.000015944306,8.8374776e-7,0.00004319786,0.8779063,0.004614718,0.10000472,0.015576423,0.00023364564],"about_ca_topic_score_codex":0.00078147947,"about_ca_topic_score_gemma":0.00009751152,"teacher_disagreement_score":0.81422114,"about_ca_system_score_codex":0.00005119702,"about_ca_system_score_gemma":0.00020392766,"threshold_uncertainty_score":0.999988},"labels":[],"label_agreement":null},{"id":"W4299715301","doi":"10.48550/arxiv.1208.2716","title":"Prediction and Computer Model Calibration Using Outputs From\\n Multi-fidelity Simulators","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fidelity; Computer science; Calibration; Sensitivity (control systems); Process (computing); Field (mathematics); Physical system; Simple (philosophy); Bayesian probability; Simulation; Artificial intelligence; Engineering; Programming language; Mathematics","score_opus":0.4036395460781888,"score_gpt":0.3097037159058391,"score_spread":0.09393583017234969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299715301","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":[0.46034074,0.000020308855,0.53894424,0.000014702254,0.00013334751,0.0002341053,0.00015400923,0.00011259139,0.000045946086],"genre_scores_gemma":[0.9823766,0.000022072754,0.016993003,0.00008274178,0.00015911441,0.0000010660023,0.00007793342,0.000017832668,0.00026963168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793273,0.00015784152,0.00047223349,0.0009998061,0.00023071781,0.00020665476],"domain_scores_gemma":[0.9978402,0.00030866766,0.0004256601,0.000923822,0.00030134508,0.00020029178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006055907,0.0002474518,0.00031920357,0.0002603432,0.00025222963,0.00019516295,0.0004953565,0.0004005107,0.000059350637],"category_scores_gemma":[0.000074029755,0.0002517409,0.00014732967,0.00037593677,0.000115225164,0.0005864723,0.0008756027,0.00033536306,0.000019194355],"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":[0.000012011853,0.00005796166,0.036889367,0.000004175723,0.000018219087,0.000001216458,0.00016288205,0.9547542,0.00006295202,0.0072526243,0.0001361525,0.00064825],"study_design_scores_gemma":[0.000250358,0.000005876019,0.00909762,0.000019071227,0.00006546901,3.648853e-7,0.00004044205,0.9307354,0.00007017175,0.05939715,0.00010749532,0.00021057116],"about_ca_topic_score_codex":0.0003389984,"about_ca_topic_score_gemma":0.000025159705,"teacher_disagreement_score":0.5220359,"about_ca_system_score_codex":0.00014487932,"about_ca_system_score_gemma":0.00008657764,"threshold_uncertainty_score":0.9999935},"labels":[],"label_agreement":null},{"id":"W4300028526","doi":"","title":"LOG YARD DESIGN USING DISCRETE-EVENT SIMULATION: FIRST STEP TOWARDS A FORMALIZED APPROACH","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","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 Laval","funders":"","keywords":"Yard; Discrete event simulation; Computer science; Event (particle physics); Simulation","score_opus":0.09304887812268148,"score_gpt":0.346644533473415,"score_spread":0.25359565535073353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300028526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068153203,0.0007146589,0.9509551,0.010142051,0.00036315608,0.0023862487,0.00015053616,0.00043552995,0.028037433],"genre_scores_gemma":[0.55190134,0.00020041346,0.43508488,0.00017119072,0.00008005763,0.00025610227,0.00033984563,0.00008429561,0.01188189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9799979,0.012110996,0.002538225,0.0022344391,0.0021759633,0.00094247446],"domain_scores_gemma":[0.9772485,0.008749503,0.0021813822,0.0053489264,0.0058576423,0.00061408215],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.023865264,0.00093908503,0.0012299799,0.00056502747,0.0018433197,0.001829997,0.0038576622,0.0009193817,0.0011360782],"category_scores_gemma":[0.0054850252,0.0009232028,0.0008823823,0.0017239404,0.0008016746,0.00062699633,0.0026925346,0.0010544357,0.0002513466],"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":[0.00008534496,0.0012430388,0.0013114557,0.00020654856,0.0001700449,0.000003193278,0.0067395144,0.6414756,0.000236233,0.19016373,0.0020950015,0.15627027],"study_design_scores_gemma":[0.00084672903,0.0000015749922,0.0009356772,0.00085581146,0.000131007,0.000014928215,0.00017969508,0.8316589,0.0023857644,0.017420258,0.14476307,0.00080657395],"about_ca_topic_score_codex":0.002184482,"about_ca_topic_score_gemma":0.00033485697,"teacher_disagreement_score":0.545086,"about_ca_system_score_codex":0.0005407452,"about_ca_system_score_gemma":0.0007981806,"threshold_uncertainty_score":0.999777},"labels":[],"label_agreement":null},{"id":"W4300991722","doi":"10.5957/icetech-2014-127","title":"Simulation of Managed Sea Ice Loads on a Floating Offshore Platform using GPU-Event Mechanics","year":2014,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Sea ice; Submarine pipeline; Marine engineering; Geology; Mooring; Drift ice; Work (physics); Event (particle physics); Seabed gouging by ice; Arctic ice pack; Engineering; Geotechnical engineering; Mechanical engineering; Oceanography; Physics","score_opus":0.1532089392539261,"score_gpt":0.42039923294901,"score_spread":0.2671902936950839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300991722","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":[0.15265165,0.0000024897838,0.8343144,0.00012957143,0.000048371046,0.0002660091,0.000005404985,0.00008637785,0.012495704],"genre_scores_gemma":[0.9835451,5.757627e-7,0.015737498,0.00026699153,0.000050814408,0.0000043841505,0.0000053871963,0.000011420334,0.0003777927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791306,0.00006129092,0.000663706,0.00032644454,0.0008844311,0.00015105875],"domain_scores_gemma":[0.99701285,0.0016597491,0.00034576294,0.00060062733,0.00031836168,0.00006263431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018274842,0.00011447527,0.00021421688,0.00023149174,0.00017294384,0.0000741393,0.00034750294,0.00008503523,0.00030922657],"category_scores_gemma":[0.0010767365,0.00008818916,0.000103923885,0.00067991274,0.000018622944,0.00019935862,0.00008953562,0.000087469394,0.00005549251],"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":[0.000011983776,0.000043295884,0.0003675894,0.0000037415466,0.000004767157,1.0146234e-7,0.00010164802,0.9076515,0.0010191412,0.059229527,0.00021808781,0.031348657],"study_design_scores_gemma":[0.00015068061,0.00005153099,0.00030915954,0.000016551949,0.000008183907,2.4736065e-7,0.00018601326,0.9412338,0.006744822,0.047125977,0.0040748767,0.0000981337],"about_ca_topic_score_codex":0.000035958215,"about_ca_topic_score_gemma":0.000016261349,"teacher_disagreement_score":0.83089346,"about_ca_system_score_codex":0.000043998447,"about_ca_system_score_gemma":0.000019493933,"threshold_uncertainty_score":0.35962495},"labels":[],"label_agreement":null},{"id":"W4301727694","doi":"10.48550/arxiv.1305.3299","title":"An ANOVA Test for Parameter Estimability using Data Cloning with\\n Application to Statistical Inference for Dynamic Systems","year":2013,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"","keywords":"Identifiability; Markov chain Monte Carlo; Computer science; Fisher information; Monte Carlo method; Inference; Statistical hypothesis testing; Statistical inference; Markov chain; Likelihood-ratio test; Algorithm; Test data; Mathematics; Data mining; Statistics; Machine learning; Artificial intelligence","score_opus":0.309922124541614,"score_gpt":0.3751600744505063,"score_spread":0.06523794990889231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301727694","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":[0.22014208,0.000008053038,0.76885426,0.0000615565,0.000120639306,0.0070711267,0.0035839637,0.0001351299,0.000023189607],"genre_scores_gemma":[0.7884051,0.0000072102007,0.21023977,0.000044024342,0.00005723687,0.00014990923,0.0009089538,0.000046550253,0.00014120771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.993878,0.00019835797,0.001102593,0.0038141161,0.00034619222,0.000660723],"domain_scores_gemma":[0.9806999,0.009850093,0.0010090686,0.0056235716,0.0022530262,0.00056436483],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002132826,0.0005934555,0.0008452911,0.0004351977,0.0008060949,0.0009250838,0.0034488423,0.00047445484,0.000061742605],"category_scores_gemma":[0.0028433965,0.00058963895,0.00013303524,0.0013322257,0.00043020322,0.0011436568,0.0011747548,0.00038176068,0.000058724065],"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":[0.00022705372,0.0004550912,0.013613767,0.00016395643,0.000051781335,0.000001629196,0.00008559423,0.91835874,0.0005556703,0.055666607,0.00009455135,0.010725543],"study_design_scores_gemma":[0.00053653424,0.00041593597,0.0032573582,0.00012003663,0.00025885325,0.0000027600065,0.00030919287,0.937416,0.00004052769,0.055740695,0.0012017996,0.0007002852],"about_ca_topic_score_codex":0.0012490015,"about_ca_topic_score_gemma":0.00019258448,"teacher_disagreement_score":0.56826305,"about_ca_system_score_codex":0.00050279754,"about_ca_system_score_gemma":0.0006098428,"threshold_uncertainty_score":0.9996555},"labels":[],"label_agreement":null},{"id":"W4302502596","doi":"10.1007/978-1-4471-2783-3","title":"Modelling and Simulation","year":2013,"lang":"en","type":"book","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","score_opus":0.23744376408703333,"score_gpt":0.5239613724290028,"score_spread":0.28651760834196943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302502596","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000057969744,0.00076644024,0.9189866,0.0004697744,0.00007801743,0.002530434,0.000101442725,0.00029241166,0.07671688],"genre_scores_gemma":[0.026857015,0.00045661605,0.4769784,0.0004924656,0.00090200186,0.0016662303,0.00087163673,0.00017053053,0.4916051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949438,0.00038553393,0.0018682026,0.0014946428,0.00096856075,0.00033927787],"domain_scores_gemma":[0.9862016,0.009361277,0.001178556,0.0014658838,0.0014773747,0.00031530668],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0028538285,0.00055590615,0.00074232725,0.00088200014,0.0012367853,0.001245674,0.00052249205,0.0006226,0.00091040763],"category_scores_gemma":[0.0006849758,0.0005227059,0.00019545919,0.0007727747,0.00037889532,0.00080754637,0.00029334932,0.0005078936,0.0004169026],"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":[0.0000033135689,0.000025109315,0.000024365723,0.000016435528,0.000022909056,5.9150157e-8,0.00007904056,0.60262275,0.000007083425,0.11243839,0.0012512418,0.2835093],"study_design_scores_gemma":[0.00008998538,0.0000090359235,0.000025690952,0.000012379699,0.000044152817,9.5253523e-7,0.000025123869,0.3791962,0.0000027723113,0.27352086,0.3468595,0.00021335836],"about_ca_topic_score_codex":0.000022799259,"about_ca_topic_score_gemma":0.0000030648264,"teacher_disagreement_score":0.44200823,"about_ca_system_score_codex":0.00015624058,"about_ca_system_score_gemma":0.00023105295,"threshold_uncertainty_score":0.99979115},"labels":[],"label_agreement":null},{"id":"W4302795817","doi":"","title":"Pattern-Oriented Reengineering of a Network System","year":2015,"lang":"en","type":"article","venue":"","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":"Carleton University","funders":"","keywords":"Business process reengineering; Computer science; Operations management; Engineering","score_opus":0.15937220662371301,"score_gpt":0.3936010316921398,"score_spread":0.23422882506842677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302795817","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":[0.035514247,0.000020907775,0.9414307,0.000106738844,0.00008969173,0.00010755814,0.0000023619684,0.00014139501,0.022586392],"genre_scores_gemma":[0.9906101,2.4129594e-7,0.0085109435,0.000029643623,0.00005673561,0.000010918205,0.0000010850436,0.000003603442,0.00077672553],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990059,0.000020758915,0.00033981504,0.0001245107,0.00042962344,0.00007937088],"domain_scores_gemma":[0.99905384,0.00015995163,0.00008454971,0.00035614747,0.00027767016,0.00006782991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008979171,0.000040788447,0.00010772439,0.000056272744,0.000019869465,0.000019455412,0.00020288149,0.000025876507,0.000055654167],"category_scores_gemma":[0.00014495877,0.00002858536,0.00003443594,0.0005529065,0.000011474281,0.0000582703,0.000050807157,0.000025550862,0.000066721805],"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":[0.00001825057,0.00006774764,0.116338715,0.000016249176,0.00002183458,0.000002691268,0.00051829184,0.12426748,0.00033619953,0.45937693,0.19002487,0.109010726],"study_design_scores_gemma":[0.00046882805,0.00008038732,0.012231668,0.000051381765,0.000008838216,0.000007670261,0.0018266825,0.7882463,0.0024563721,0.009078419,0.18532987,0.00021362914],"about_ca_topic_score_codex":0.00003534222,"about_ca_topic_score_gemma":0.0000029479118,"teacher_disagreement_score":0.9550958,"about_ca_system_score_codex":0.000016573309,"about_ca_system_score_gemma":0.000013972276,"threshold_uncertainty_score":0.116567716},"labels":[],"label_agreement":null},{"id":"W4306740563","doi":"10.1016/j.cor.2022.106046","title":"Optimal budget allocation policy for tabu search in stochastic simulation optimization","year":2022,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Tabu search; Mathematical optimization; Computer science; Operations research; Stochastic optimization; Mathematics","score_opus":0.24734625042891284,"score_gpt":0.5342289773031084,"score_spread":0.2868827268741955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306740563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036982924,0.00002840275,0.9545218,0.005802424,0.000102896374,0.002225518,0.000069028705,0.000080463746,0.0001865978],"genre_scores_gemma":[0.9343947,0.0000036441756,0.06240585,0.00018385294,0.00018743852,0.0014582248,0.00028741398,0.000026152491,0.0010527251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99521273,0.00084120466,0.0007835287,0.0007212615,0.0019607516,0.00048051134],"domain_scores_gemma":[0.99457234,0.0027956553,0.000054412354,0.0007645896,0.0016808843,0.00013210774],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006393454,0.00013910263,0.00021201382,0.0023439534,0.0018671233,0.00062581495,0.0010525174,0.00007044962,0.0003796099],"category_scores_gemma":[0.001805728,0.00014366045,0.00008587471,0.0049774237,0.00012705057,0.00048292003,0.00054999534,0.000433506,0.000044658624],"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":[0.00003841296,0.0001553507,0.00005123592,0.0000018842891,0.00000405659,4.1020772e-7,0.0008579844,0.9700765,0.00016102518,0.01581102,0.0013959116,0.011446206],"study_design_scores_gemma":[0.00053026224,0.00017208974,0.000376244,0.000005163818,0.0000018733335,0.0000022955603,0.0007914755,0.99235576,0.000078076104,0.001795068,0.003750712,0.00014095841],"about_ca_topic_score_codex":0.00029880996,"about_ca_topic_score_gemma":0.00005299474,"teacher_disagreement_score":0.89741176,"about_ca_system_score_codex":0.00062400225,"about_ca_system_score_gemma":0.000675512,"threshold_uncertainty_score":0.9994323},"labels":[],"label_agreement":null},{"id":"W4307327173","doi":"","title":"Proceedings of the Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Modeling and simulation; Simulation","score_opus":0.040662349392025635,"score_gpt":0.30583826644152773,"score_spread":0.2651759170495021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307327173","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":[0.70001894,0.00014878313,0.23150869,0.006590629,0.00011016488,0.0013966474,0.00008047357,0.00010932672,0.060036317],"genre_scores_gemma":[0.98700106,0.00009003918,0.008950158,0.00005844017,0.00001230474,0.0000926507,0.00002123903,0.000025395631,0.003748689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99567574,0.0013865613,0.0010867496,0.0007311398,0.0009398624,0.00017994666],"domain_scores_gemma":[0.98596114,0.004542763,0.0013678651,0.0014943094,0.006542566,0.000091327776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076657026,0.00028122112,0.00045463967,0.0002988673,0.00026888947,0.00030995483,0.0016317886,0.00027499077,0.00007183922],"category_scores_gemma":[0.0033888577,0.0001935292,0.0002351009,0.0006456494,0.0003848119,0.00020600832,0.001064386,0.00047595793,0.000007658271],"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":[0.000036547484,0.0004331247,0.002539893,0.000112097325,0.000064246626,6.155465e-8,0.02020374,0.057018813,0.016227366,0.8815257,0.00046527316,0.02137312],"study_design_scores_gemma":[0.00019249282,0.0000011244197,0.0010651128,0.0011578023,0.000039245097,8.202503e-7,0.000745628,0.7278252,0.07541318,0.19273318,0.0006078689,0.00021829583],"about_ca_topic_score_codex":0.00022467869,"about_ca_topic_score_gemma":0.000036055546,"teacher_disagreement_score":0.6887925,"about_ca_system_score_codex":0.000060961753,"about_ca_system_score_gemma":0.0001360243,"threshold_uncertainty_score":0.78918916},"labels":[],"label_agreement":null},{"id":"W4308087731","doi":"10.1109/ds-rt55542.2022.9932072","title":"Metadata Specification for DEVS simulation models","year":2022,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"Metadata; Composability; DEVS; Documentation; Computer science; Reusability; Metadata modeling; Software engineering; Discrete event simulation; Metadata repository; Database; World Wide Web; Distributed computing; Programming language; Modeling and simulation; Simulation","score_opus":0.6320070055106776,"score_gpt":0.5260361463835084,"score_spread":0.10597085912716919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308087731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027515208,0.00001691,0.98472655,0.0015751625,0.00006205688,0.0006254164,0.00009541851,0.00012339021,0.010023555],"genre_scores_gemma":[0.95347285,0.0000010388729,0.031636894,0.0003681126,0.000041518608,0.0003986007,0.0000917404,0.000008498562,0.013980744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832696,0.000058966947,0.0004416281,0.0003473984,0.000719542,0.00010549277],"domain_scores_gemma":[0.9977139,0.0011622966,0.00015785446,0.0006671863,0.00025939368,0.00003932036],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015792411,0.00006251332,0.00010398533,0.00016996954,0.00048322452,0.00017987909,0.00055767834,0.000019709534,0.0016560882],"category_scores_gemma":[0.00026606108,0.000052705716,0.000081583865,0.0006434688,0.000015142206,0.00062025216,0.0001378107,0.000051284074,0.00003500973],"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":[0.000010665871,0.00003061537,0.000036770885,2.7369492e-7,0.000002171025,2.2511363e-8,0.000046344096,0.6163903,0.000155011,0.34029764,0.013802769,0.029227406],"study_design_scores_gemma":[0.000065918204,0.0000117178915,0.00008719703,8.137851e-8,0.0000024546678,2.1223441e-7,0.00013950901,0.47773463,0.00019244579,0.251536,0.2701906,0.00003922338],"about_ca_topic_score_codex":0.000011857572,"about_ca_topic_score_gemma":0.000003541074,"teacher_disagreement_score":0.95308965,"about_ca_system_score_codex":0.000047539794,"about_ca_system_score_gemma":0.000029185148,"threshold_uncertainty_score":0.99925655},"labels":[],"label_agreement":null},{"id":"W4310081629","doi":"10.1002/spe.3168","title":"xDEVS: A toolkit for interoperable modeling and simulation of formal discrete event systems","year":2022,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":20,"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":"Computer science; DEVS; Interoperability; Executable; Rotation formalisms in three dimensions; Programming language; Python (programming language); Maintainability; Implementation; Software engineering; Discrete event simulation; Generic programming; Interfacing; Systems modeling; Distributed computing; Modeling and simulation; Operating system; Simulation","score_opus":0.09789883491073663,"score_gpt":0.4390665999825627,"score_spread":0.34116776507182606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310081629","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":[0.26860473,0.00035040974,0.7303063,0.00021057567,0.000059527836,0.00035426283,0.000021501326,0.000029865685,0.00006279414],"genre_scores_gemma":[0.9903483,0.000024573957,0.008931989,0.00012976267,0.000017700395,0.0003667918,0.0000046415007,0.0000061005885,0.00017014943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986969,0.00007218301,0.00041945875,0.00027076647,0.00041512304,0.00012552092],"domain_scores_gemma":[0.99776673,0.0014639888,0.00022562682,0.00023129446,0.0002662297,0.000046101413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011973769,0.00007084549,0.0001375071,0.00007513484,0.00047952912,0.00014161195,0.0001813006,0.000022841656,0.00003068944],"category_scores_gemma":[0.0021539466,0.000058563077,0.00003150276,0.00021860695,0.00004007297,0.0012324739,0.0002241824,0.00007254434,7.90821e-7],"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":[0.00019294946,0.000051996747,0.00078326964,0.000018551716,0.000008336437,5.017515e-7,0.014987787,0.93705136,0.00017600473,0.0037165254,0.0000947551,0.042917937],"study_design_scores_gemma":[0.00016315763,0.000112132126,0.000025774409,0.000008634359,0.000008503259,0.000010358896,0.03052713,0.9249071,0.00005777418,0.0022247822,0.04187253,0.00008211156],"about_ca_topic_score_codex":0.00009515079,"about_ca_topic_score_gemma":0.0000012370904,"teacher_disagreement_score":0.7217435,"about_ca_system_score_codex":0.000020240499,"about_ca_system_score_gemma":0.000026674657,"threshold_uncertainty_score":0.3688199},"labels":[],"label_agreement":null},{"id":"W4312921489","doi":"10.2139/ssrn.4268657","title":"Improving Patch-Based Simulation Using Generative Adversial Networks ⋆","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Generative grammar; Computer science; Artificial intelligence","score_opus":0.05971647559591678,"score_gpt":0.37528998535337865,"score_spread":0.3155735097574619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312921489","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":[0.14668612,0.0002064777,0.8523103,0.00032217338,0.00015992112,0.00017468804,0.0000048100846,0.000043487722,0.0000920396],"genre_scores_gemma":[0.9970272,0.00001016722,0.0019530354,0.00028258192,0.00032490893,0.000013852008,0.0000056075714,0.000016803593,0.00036580235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690217,0.0003199676,0.0005203193,0.00030476664,0.0009612848,0.0009915021],"domain_scores_gemma":[0.9985169,0.0004061831,0.00047858813,0.00027580303,0.00025089935,0.00007159364],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004432114,0.00012164219,0.00015834806,0.00025483535,0.0015319217,0.00016898352,0.00051601575,0.000046723246,0.00036172871],"category_scores_gemma":[0.00021048984,0.00010892695,0.00016133566,0.00083769567,0.000034042518,0.00025163908,0.00011238058,0.0012572532,0.000006587109],"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":[0.00003061194,0.000028217946,0.00093596574,1.3646843e-7,0.000009709821,7.468995e-7,0.00004267445,0.94728404,0.00023168756,0.008965634,0.0000509568,0.04241964],"study_design_scores_gemma":[0.00035481382,0.00012494919,0.00007864319,9.895139e-7,0.000013702975,0.000024390425,0.0009754949,0.90707356,0.00006272967,0.08868469,0.0024865782,0.000119486045],"about_ca_topic_score_codex":0.00008675208,"about_ca_topic_score_gemma":0.000068735106,"teacher_disagreement_score":0.85035723,"about_ca_system_score_codex":0.0012742741,"about_ca_system_score_gemma":0.001493026,"threshold_uncertainty_score":0.99976796},"labels":[],"label_agreement":null},{"id":"W4312983288","doi":"10.1130/abs/2022am-378369","title":"DIFFUSUP: A GRAPHICAL USER INTERFACE (GUI) SOFTWARE FOR DIFFUSION MODELING","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Graphical user interface; Computer science; Graphical user interface testing; User interface; Human–computer interaction; Post-WIMP; Software; Interface (matter); Diffusion; Software engineering; User interface design; Programming language; Operating system","score_opus":0.07501350537883726,"score_gpt":0.35729534874837515,"score_spread":0.2822818433695379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312983288","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":[0.49045643,0.000052230058,0.505679,0.002550087,0.000026824304,0.0009113301,0.000023705608,0.00021034709,0.00009004547],"genre_scores_gemma":[0.8232761,0.000015166293,0.17507452,0.0006658606,0.000030130945,0.0006266606,0.00004233305,0.000015848416,0.0002533903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683595,0.00008602457,0.0008112827,0.00068968587,0.0011594454,0.00041761884],"domain_scores_gemma":[0.9973689,0.00096612837,0.00050079235,0.0005238989,0.00048781149,0.00015247578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009206192,0.00021443127,0.00043760694,0.000051118648,0.00065276737,0.00008897079,0.00083414256,0.00012321844,0.00038525823],"category_scores_gemma":[0.00036224094,0.00014097901,0.00039641082,0.001158163,0.00048535172,0.00012801679,0.0004518979,0.0004103748,0.000007065966],"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":[0.0006523292,0.0047769975,0.042919878,0.000048143098,0.000169,0.0000034635334,0.0023368087,0.28403506,0.00081779336,0.0011761992,0.017277734,0.6457866],"study_design_scores_gemma":[0.0020533341,0.004907145,0.013400643,0.000041132513,0.00008666364,0.000025011144,0.009708661,0.48433673,0.0002828307,0.052456267,0.4317903,0.0009112989],"about_ca_topic_score_codex":0.00014319626,"about_ca_topic_score_gemma":0.000002260454,"teacher_disagreement_score":0.6448753,"about_ca_system_score_codex":0.000039570106,"about_ca_system_score_gemma":0.00005240781,"threshold_uncertainty_score":0.57489574},"labels":[],"label_agreement":null},{"id":"W4313007636","doi":"10.1007/978-3-031-10082-6_7","title":"Transient Solutions of Markov Chains","year":2022,"lang":"en","type":"book-chapter","venue":"CMS/CAIMS books in mathematics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia; University of Saskatchewan","funders":"","keywords":"Uniformization (probability theory); Transient (computer programming); Markov chain; Computer science; Discrete event simulation; Algorithm; Event (particle physics); Transient analysis; Queue; Applied mathematics; Mathematics; Mathematical optimization; Markov model; Balance equation; Transient response; Physics; Simulation; Engineering","score_opus":0.17659414231370377,"score_gpt":0.3761447246436679,"score_spread":0.19955058232996412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313007636","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012164313,0.00025869368,0.04251199,0.0004226318,0.000156127,0.0010078633,0.00030413727,0.000105256746,0.9551117],"genre_scores_gemma":[0.019135095,0.00017678394,0.022396887,0.00015633949,0.00008211653,0.00022181113,0.00005277373,0.000111977024,0.9576662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99569935,0.000044645956,0.0018511729,0.0005428535,0.0015789928,0.0002830161],"domain_scores_gemma":[0.99597025,0.0012597664,0.0008722261,0.0015433348,0.00026046406,0.00009398892],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002171255,0.00032464045,0.00076753006,0.0007396819,0.00019687608,0.000060175866,0.0011534082,0.00026379706,0.0063635237],"category_scores_gemma":[0.00029937256,0.00029492323,0.00039343332,0.00021921977,0.00025128553,0.000087535846,0.0003183813,0.00050489977,0.00011662195],"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":[0.0000037934515,0.00009848276,0.000004120809,0.00004015187,0.000017570921,0.000003885257,0.00096194044,0.00018802437,0.000043347976,0.9822441,0.009922975,0.0064716414],"study_design_scores_gemma":[0.000149736,0.000040525283,0.000015530422,0.00010171757,0.000031317366,0.000006773907,0.00019691118,0.0044771084,0.00003897511,0.65145653,0.3432357,0.00024916633],"about_ca_topic_score_codex":0.000008911293,"about_ca_topic_score_gemma":0.000030739913,"teacher_disagreement_score":0.33331272,"about_ca_system_score_codex":0.0001564619,"about_ca_system_score_gemma":0.00015516176,"threshold_uncertainty_score":0.9999503},"labels":[],"label_agreement":null},{"id":"W4317792673","doi":"10.1109/wsc57314.2022.10015492","title":"Defining DEVS Models Using the Cadmium Toolkit","year":2022,"lang":"en","type":"article","venue":"2022 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":"Carleton University","funders":"","keywords":"DEVS; Modular design; Computer science; Formalism (music); Discrete event simulation; Interface (matter); Distributed computing; Theoretical computer science; Programming language; Event (particle physics); Modeling and simulation; Simulation; Parallel computing","score_opus":0.27580986915717776,"score_gpt":0.4391026201023099,"score_spread":0.16329275094513213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317792673","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":[0.07965434,0.00007931138,0.90961134,0.0014229458,0.00039697604,0.00053067284,0.00008964124,0.00017270037,0.008042062],"genre_scores_gemma":[0.9940759,0.0000017967405,0.0019524756,0.001101275,0.00007547158,0.00011683212,0.000032076216,0.000022080101,0.0026220907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964191,0.00036746528,0.0008289254,0.00060637575,0.0014808797,0.0002972718],"domain_scores_gemma":[0.9964992,0.0014644162,0.0004040567,0.0010013124,0.0005405499,0.000090492904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018769448,0.00019453473,0.0002462656,0.000275784,0.0012482039,0.000482397,0.0012444098,0.000059128502,0.007153951],"category_scores_gemma":[0.00042640054,0.00015011428,0.00017124413,0.001158659,0.0000915051,0.00057948835,0.0007055388,0.00039122734,0.000085783584],"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":[0.00001877796,0.000029114888,0.0012106032,8.228761e-7,0.000008595381,0.000001160511,0.0010919374,0.92946285,0.00017075177,0.053930078,0.001445659,0.012629648],"study_design_scores_gemma":[0.00017077233,0.000031533535,0.00038174054,0.0000043682744,0.000013132449,0.0000060395546,0.0016782116,0.87829983,0.00011074039,0.07059348,0.048533574,0.00017656518],"about_ca_topic_score_codex":0.00008992569,"about_ca_topic_score_gemma":0.000024378001,"teacher_disagreement_score":0.91442156,"about_ca_system_score_codex":0.00015092014,"about_ca_system_score_gemma":0.00022119046,"threshold_uncertainty_score":0.9937537},"labels":[],"label_agreement":null},{"id":"W4317792675","doi":"10.1109/wsc57314.2022.10015513","title":"An Application of Automated Machine Learning Within a Data Farming Process","year":2022,"lang":"en","type":"article","venue":"2022 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":"Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Metamodeling; Computer science; Robustness (evolution); Machine learning; Artificial intelligence; Process (computing); Software engineering; Programming language","score_opus":0.17301767954208797,"score_gpt":0.46559972851612375,"score_spread":0.2925820489740358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317792675","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":[0.23209113,0.000026312526,0.7646869,0.00033685187,0.00012276835,0.0007791143,0.0003085161,0.0007495891,0.0008988445],"genre_scores_gemma":[0.9965836,9.54795e-7,0.0018277244,0.00012770362,0.000039326813,0.00014617975,0.0008792647,0.000024150817,0.00037109767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961354,0.00039850827,0.0010650642,0.0008661994,0.0013418526,0.00019296748],"domain_scores_gemma":[0.9961605,0.00059399323,0.0008668252,0.0015928762,0.0006899518,0.00009583608],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002446762,0.00018059577,0.00030330167,0.00039671577,0.0005183408,0.00017958682,0.0020428745,0.000060720107,0.001962474],"category_scores_gemma":[0.0006623486,0.0001719077,0.00005953347,0.0014380985,0.00007407153,0.00078394235,0.0005871147,0.00035522712,0.00003428739],"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":[0.000053633787,0.00016079545,0.01643139,0.000007580351,0.000011902244,6.383369e-7,0.0017529181,0.93377304,0.003916034,0.0028163097,0.00012432224,0.040951412],"study_design_scores_gemma":[0.00027244978,0.000111412875,0.0016371028,0.0000063683156,0.0000144363885,0.0000028144884,0.0016032107,0.9797504,0.00067708205,0.0076884865,0.008050445,0.00018579322],"about_ca_topic_score_codex":0.00009435358,"about_ca_topic_score_gemma":0.000040136612,"teacher_disagreement_score":0.76449245,"about_ca_system_score_codex":0.000056770677,"about_ca_system_score_gemma":0.00014590083,"threshold_uncertainty_score":0.9989499},"labels":[],"label_agreement":null},{"id":"W4317792921","doi":"10.1109/wsc57314.2022.10015498","title":"Sequential Nested Simulation for Estimating Expected Shortfall","year":2022,"lang":"en","type":"article","venue":"2022 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Expected shortfall; Portfolio; Measure (data warehouse); Set (abstract data type); Mathematical optimization; Econometrics; Finance; Data mining; Mathematics; Economics","score_opus":0.2556744566645283,"score_gpt":0.46428792669959656,"score_spread":0.20861347003506825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317792921","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":[0.09828007,0.000012981724,0.8976045,0.00050664943,0.00067206414,0.0014891314,0.00015447773,0.00036899463,0.00091111934],"genre_scores_gemma":[0.97830206,3.0938847e-7,0.017387679,0.00039788746,0.00027323893,0.0007225918,0.00033702914,0.000040257535,0.0025389348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955818,0.00034507908,0.0013180954,0.00091914344,0.0014634028,0.00037247114],"domain_scores_gemma":[0.9942604,0.0028821542,0.00064463436,0.000885379,0.0011890563,0.00013843122],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016390008,0.00027742042,0.00038014603,0.00051040243,0.0010368653,0.00043914258,0.0009108582,0.00010054363,0.007809144],"category_scores_gemma":[0.001649612,0.00027843396,0.00027293997,0.0012038029,0.00007124244,0.00058836903,0.00040066923,0.0002869179,0.00007134488],"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":[0.00011309888,0.00007689937,0.0012886781,0.000003629094,0.00001503395,0.0000010005027,0.0008318363,0.9604838,0.0007260869,0.0039794403,0.0010188447,0.03146164],"study_design_scores_gemma":[0.0008727694,0.0001255356,0.0012621066,0.000007741803,0.000024048657,0.0000022028983,0.00071055465,0.94563216,0.00017754658,0.023081519,0.027799452,0.00030435986],"about_ca_topic_score_codex":0.000035460802,"about_ca_topic_score_gemma":0.000017439717,"teacher_disagreement_score":0.88021684,"about_ca_system_score_codex":0.00019887032,"about_ca_system_score_gemma":0.0001647972,"threshold_uncertainty_score":0.9999668},"labels":[],"label_agreement":null},{"id":"W4318220100","doi":"10.1007/978-3-031-11085-6_11","title":"Supporting Computer Domains","year":2023,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Domain (mathematical analysis); Cloud computing; Wearable computer; State (computer science); Scale (ratio); Computational science; Simulation; Distributed computing; Human–computer interaction; Embedded system; Operating system; Algorithm; Mathematics","score_opus":0.21851055827006255,"score_gpt":0.5492044485668398,"score_spread":0.33069389029677726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318220100","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000730703,0.000087550216,0.84992677,0.00084015355,0.00016856467,0.001629006,0.00024405144,0.0006185874,0.14647803],"genre_scores_gemma":[0.0027690043,0.00018030823,0.37608922,0.0006192815,0.001272905,0.00074694765,0.0011824742,0.00019717455,0.6169427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948697,0.00019361955,0.0021068922,0.001391477,0.001063153,0.00037516747],"domain_scores_gemma":[0.988102,0.0075310487,0.0014007261,0.0016223118,0.0010833718,0.0002605523],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0044621155,0.0004933462,0.00069501624,0.0009396315,0.0012112418,0.00078516133,0.00070094486,0.000498228,0.0013800819],"category_scores_gemma":[0.00064006646,0.00046900616,0.0003309092,0.0006855657,0.00031973742,0.00035751663,0.0003801425,0.00047356225,0.0017771339],"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":[0.0000023568557,0.00001450841,0.000037435522,0.0000082810575,0.00002838159,3.2780738e-7,0.00004594612,0.0058586784,0.000012766847,0.57818156,0.0024588886,0.41335088],"study_design_scores_gemma":[0.00009902757,0.000012854109,0.00013177346,0.000014346985,0.000047516787,0.0000020340249,0.000021993528,0.06657264,0.000006092972,0.43414307,0.4986908,0.00025786876],"about_ca_topic_score_codex":0.0000069501393,"about_ca_topic_score_gemma":0.000010104751,"teacher_disagreement_score":0.4962319,"about_ca_system_score_codex":0.00010049791,"about_ca_system_score_gemma":0.00014271945,"threshold_uncertainty_score":0.9997762},"labels":[],"label_agreement":null},{"id":"W4318220102","doi":"10.1007/978-3-031-11085-6_2","title":"M&amp;S Bok Core Areas and the Big Picture","year":2023,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rotation formalisms in three dimensions; Core model; Computer science; Section (typography); Big data; Core (optical fiber); Data science; Data mining; Mathematics; Operating system","score_opus":0.34385386686550806,"score_gpt":0.5274800126973356,"score_spread":0.18362614583182751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318220102","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003100112,0.0006584,0.8622523,0.003437352,0.00018067748,0.0028621682,0.00025302998,0.00042298372,0.12990211],"genre_scores_gemma":[0.012467394,0.0014907597,0.0866542,0.0014040839,0.0013034489,0.0019168721,0.0010840715,0.00020868737,0.89347047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959891,0.00024214329,0.001451203,0.0011438694,0.0009144185,0.00025925782],"domain_scores_gemma":[0.98396397,0.012178502,0.0010011777,0.001728058,0.00092969695,0.00019856959],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00438776,0.00047626894,0.0006876096,0.00057686307,0.001625673,0.0008068475,0.00064452575,0.00047641175,0.00051574677],"category_scores_gemma":[0.0014821527,0.0003356156,0.00026075452,0.00066043163,0.0009665705,0.00019346195,0.00035920317,0.0005453618,0.00047587737],"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":[0.000012332507,0.000009259659,0.000045699508,0.000008017403,0.000035101577,8.279493e-8,0.0001161647,0.0013157775,0.000006846245,0.7185646,0.0012385854,0.2786475],"study_design_scores_gemma":[0.00026370556,0.0000055323926,0.00023601366,0.000014471521,0.00008258982,0.0000028915317,0.00004918812,0.0111834975,0.0000015863322,0.4896064,0.49835697,0.00019712596],"about_ca_topic_score_codex":0.00001705597,"about_ca_topic_score_gemma":0.00004566946,"teacher_disagreement_score":0.7755981,"about_ca_system_score_codex":0.000056477023,"about_ca_system_score_gemma":0.00013225086,"threshold_uncertainty_score":0.9999096},"labels":[],"label_agreement":null},{"id":"W4318220188","doi":"10.1007/978-3-031-11085-6_6","title":"Infrastructure","year":2023,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"High-level architecture; Section (typography); Computer science; Resource (disambiguation); Architecture; Best practice; Software engineering; Knowledge management; World Wide Web; Interoperability; Political science; Geography; Operating system; Computer network; Archaeology","score_opus":0.19883984541435068,"score_gpt":0.5286475167434296,"score_spread":0.3298076713290789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318220188","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004070443,0.00014902283,0.7185757,0.0008240108,0.00014182851,0.0013983346,0.00023078542,0.00053105503,0.2781452],"genre_scores_gemma":[0.0028728603,0.0003704653,0.16668794,0.00045289705,0.0007923672,0.0007243079,0.0008170303,0.00018039675,0.82710177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956344,0.00015623531,0.0016284584,0.0012696319,0.0010342717,0.0002770394],"domain_scores_gemma":[0.9900707,0.005859323,0.0010142168,0.001699228,0.001119254,0.00023730467],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026736008,0.0004818196,0.000630259,0.00095521106,0.0010039032,0.0006724582,0.0007205016,0.00059535,0.0021373522],"category_scores_gemma":[0.000990761,0.00044442678,0.00027831708,0.00072671566,0.00032765378,0.0003338149,0.00031630692,0.00052258273,0.0016912372],"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":[0.0000023527246,0.000007150024,0.00002625192,0.000006257443,0.00002226011,1.4559235e-7,0.00003033959,0.0065194517,0.000014564019,0.59630305,0.0027305128,0.39433765],"study_design_scores_gemma":[0.0000778717,0.000008504581,0.0002374734,0.000011183885,0.000042927986,0.000001521712,0.000023471346,0.020507257,0.0000058387172,0.4794901,0.49936414,0.00022969411],"about_ca_topic_score_codex":0.00000482167,"about_ca_topic_score_gemma":0.0000071021946,"teacher_disagreement_score":0.55188775,"about_ca_system_score_codex":0.00010208018,"about_ca_system_score_gemma":0.000162156,"threshold_uncertainty_score":0.99980074},"labels":[],"label_agreement":null},{"id":"W4318220213","doi":"10.1007/978-3-031-11085-6_3","title":"Simulation as Experimentation","year":2023,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada); University of Ottawa","funders":"","keywords":"DEVS; Computer science; Section (typography); Systems engineering; Simulation; Modeling and simulation; Engineering; Operating system","score_opus":0.30667957608416785,"score_gpt":0.5836093087806905,"score_spread":0.27692973269652266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318220213","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022575701,0.00020674903,0.79559046,0.0006281364,0.00019255093,0.0023656795,0.00014360544,0.00071734254,0.20013294],"genre_scores_gemma":[0.047609482,0.0003049226,0.1149285,0.00070997165,0.001080731,0.0017597302,0.0017835767,0.00032207204,0.831501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941557,0.0002648745,0.0021659448,0.0016064182,0.001457924,0.0003491135],"domain_scores_gemma":[0.9833821,0.011631881,0.0014280125,0.0017338373,0.001532325,0.00029185027],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003146281,0.00061728136,0.0007245156,0.0012421557,0.00130034,0.00088952226,0.0006694488,0.0006430068,0.0025141598],"category_scores_gemma":[0.0018227331,0.00061560737,0.00034233968,0.00086223456,0.00032539025,0.00065390626,0.00028341156,0.0004612912,0.0037610885],"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":[0.000009383487,0.000025632962,0.000018875367,0.000009175849,0.00003690055,3.066306e-7,0.00011709785,0.13087642,0.00006140733,0.57865095,0.00041971836,0.28977415],"study_design_scores_gemma":[0.00015162556,0.000023198707,0.00006440127,0.000017794164,0.00006171023,0.0000010303476,0.0000873599,0.14908907,0.000037616246,0.42372823,0.4264124,0.0003255667],"about_ca_topic_score_codex":0.000019260857,"about_ca_topic_score_gemma":0.000009434218,"teacher_disagreement_score":0.6806619,"about_ca_system_score_codex":0.0001837951,"about_ca_system_score_gemma":0.00020949621,"threshold_uncertainty_score":0.9999998},"labels":[],"label_agreement":null},{"id":"W4318220235","doi":"10.1007/978-3-031-11085-6","title":"Body of Knowledge for Modeling and Simulation","year":2023,"lang":"en","type":"book","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Air Force Institute of Technology; Universidade Federal Fluminense; Tsinghua University; Deutsches Zentrum für Luft- und Raumfahrt; Aarhus Universitet; Technische Universiteit Delft; University of Exeter; Old Dominion University; Aix-Marseille Université","keywords":"Key (lock); Core (optical fiber); Computer science; Management science; Systems engineering; Engineering; Computer security; Telecommunications","score_opus":0.28320444431319614,"score_gpt":0.5666114399179715,"score_spread":0.28340699560477534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318220235","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":[0.0000705666,0.0005145268,0.98152405,0.00021794674,0.00010067811,0.0030832754,0.0003705313,0.00025033194,0.013868109],"genre_scores_gemma":[0.13573073,0.00051866804,0.4372127,0.00015257411,0.0012164947,0.0038556857,0.0019149153,0.0003286061,0.41906962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99589175,0.00024056628,0.0019359391,0.0011095864,0.00056331133,0.00025887563],"domain_scores_gemma":[0.9809774,0.0147298295,0.0010610208,0.001064277,0.0019976492,0.00016982736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040765298,0.00039820324,0.00076466874,0.0010022843,0.00080123043,0.00029684536,0.00043206278,0.00047848982,0.0000775956],"category_scores_gemma":[0.0020253228,0.00038879484,0.00024469488,0.0009223949,0.0002559332,0.00035326922,0.00022463201,0.00024581235,0.000053575353],"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":[0.000017749342,0.000064051,0.000038133196,0.00011383935,0.0000574053,2.8430843e-8,0.00019909623,0.484233,0.0000914721,0.22318463,0.0009280484,0.29107255],"study_design_scores_gemma":[0.00016769407,0.000019851024,0.00004407729,0.000026100093,0.0000786107,2.3612904e-7,0.00003760119,0.4784888,0.000011208755,0.32352328,0.19742297,0.00017957149],"about_ca_topic_score_codex":0.0000058013115,"about_ca_topic_score_gemma":0.000007132596,"teacher_disagreement_score":0.54431134,"about_ca_system_score_codex":0.00010121443,"about_ca_system_score_gemma":0.0003020152,"threshold_uncertainty_score":0.9998564},"labels":[],"label_agreement":null},{"id":"W4318947472","doi":"10.2139/ssrn.4346325","title":"Simulation and Data Analysis for E-backtesting","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Econometrics; Mathematics","score_opus":0.25155119428523826,"score_gpt":0.5005408484075875,"score_spread":0.24898965412234925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318947472","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":[0.090776905,0.00013641613,0.90751076,0.0011957912,0.000025226685,0.00014458723,0.000021321814,0.00007886259,0.00011013081],"genre_scores_gemma":[0.99635744,0.00010376882,0.0020239416,0.00004125377,0.00011686341,0.0000066961093,0.000045916706,0.000007571842,0.0012965524],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818563,0.000047305602,0.0003843502,0.00032165225,0.0003919767,0.00066910515],"domain_scores_gemma":[0.99670905,0.0022928268,0.0002061385,0.0005081732,0.00023213681,0.000051656887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008077467,0.000065927925,0.00014324924,0.00045406428,0.00036982296,0.00022294925,0.0005737765,0.000037757993,0.000020915233],"category_scores_gemma":[0.0028910567,0.000051548897,0.00007215472,0.0021324554,0.000022744394,0.00030428922,0.000120930104,0.0002589648,0.00002672503],"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":[0.000023463936,0.000024842395,0.05488295,0.0000017119281,0.00030548457,4.2106043e-7,0.0001290163,0.37532732,0.00012486283,0.13932307,0.0010137488,0.4288431],"study_design_scores_gemma":[0.00009329578,0.000020182339,0.0042008343,8.3273636e-7,0.000052089326,0.0000026114794,0.00029335122,0.5573622,0.000003531326,0.4335538,0.0043742754,0.000043015683],"about_ca_topic_score_codex":0.000009536284,"about_ca_topic_score_gemma":0.00012375417,"teacher_disagreement_score":0.9055805,"about_ca_system_score_codex":0.00006934826,"about_ca_system_score_gemma":0.00025161,"threshold_uncertainty_score":0.34610736},"labels":[],"label_agreement":null},{"id":"W4322099176","doi":"10.1007/978-3-031-11085-6_17","title":"History of Simulation","year":2023,"lang":"en","type":"book-chapter","venue":"Simulation foundations, methods and applications","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Section (typography); Facet (psychology); Computer science; Event (particle physics); History; Psychology; Social psychology; Physics","score_opus":0.3367043367416601,"score_gpt":0.532316818577353,"score_spread":0.1956124818356929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322099176","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000048281586,0.0004465041,0.76680785,0.00023744928,0.00021506025,0.0014027855,0.00015475575,0.00031831473,0.23041247],"genre_scores_gemma":[0.015757747,0.00029067963,0.08927827,0.00018805613,0.00044356173,0.00047373047,0.00059354724,0.00016869661,0.8928057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995041,0.00020511447,0.0022558726,0.0011101404,0.0011486587,0.00023919645],"domain_scores_gemma":[0.984689,0.0099002,0.0018522947,0.001668645,0.0017061121,0.00018374383],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033827787,0.00044588678,0.0007812382,0.0012041482,0.0003360974,0.00014214424,0.00062480365,0.00053818594,0.0016508745],"category_scores_gemma":[0.0013528838,0.0004411351,0.00034502306,0.00053588423,0.00046146172,0.00036248178,0.0002367502,0.00037331393,0.0005660384],"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":[0.0000079635565,0.000026715803,0.000024853245,0.000021650783,0.00003714918,1.1891397e-7,0.00010309847,0.09082832,0.000056108012,0.59384227,0.0016572443,0.31339452],"study_design_scores_gemma":[0.000102038044,0.000015388167,0.000109002714,0.000019730425,0.000064468164,4.387911e-7,0.000020132758,0.13421693,0.000007967941,0.35596564,0.50926304,0.00021518308],"about_ca_topic_score_codex":0.000010544398,"about_ca_topic_score_gemma":0.000006692832,"teacher_disagreement_score":0.6775296,"about_ca_system_score_codex":0.00032689917,"about_ca_system_score_gemma":0.00034192973,"threshold_uncertainty_score":0.999804},"labels":[],"label_agreement":null},{"id":"W4324290811","doi":"10.1109/tpds.2023.3256083","title":"A Parallel Algorithm to Accelerate DEVS Simulations in Shared Memory Architectures","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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":"Computer science; Parallel computing; Benchmark (surveying); DEVS; Discrete event simulation; Shared memory; Parallel algorithm; Computation; Set (abstract data type); Event (particle physics); Algorithm; Distributed computing; Modeling and simulation","score_opus":0.09724948399096503,"score_gpt":0.37081208315633524,"score_spread":0.2735625991653702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324290811","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":[0.10363341,0.000033135173,0.89178973,0.00084625074,0.00020928147,0.0009717586,0.002019229,0.000341879,0.00015529753],"genre_scores_gemma":[0.9962352,0.000011780899,0.0017091141,0.00012354452,0.000039484803,0.00044573055,0.00014276092,0.000020718255,0.0012716514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717087,0.00018061484,0.0008738183,0.00067142403,0.00070328993,0.00039996117],"domain_scores_gemma":[0.99771106,0.0010897542,0.00013110365,0.0005965241,0.00019742399,0.00027415008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006235076,0.00025848864,0.0004085765,0.0008238032,0.0004439349,0.00038992998,0.00041056538,0.00015428622,0.00011648376],"category_scores_gemma":[0.00008185599,0.00021036883,0.00012102359,0.0028242755,0.000057544185,0.0001524444,0.000008272436,0.00023424989,0.0002679749],"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":[0.000034103912,0.000078128396,0.00022378727,0.000005288151,0.000014153447,0.000005066481,0.00043967346,0.98864496,0.00013632135,0.00011279815,0.0024577256,0.007847998],"study_design_scores_gemma":[0.0009972696,0.00009904208,0.0128186075,0.000052273877,0.000017308043,0.000009206109,0.0015259258,0.9722871,0.000138644,0.0036987131,0.007929758,0.0004261346],"about_ca_topic_score_codex":0.00034115958,"about_ca_topic_score_gemma":0.00021228864,"teacher_disagreement_score":0.8926018,"about_ca_system_score_codex":0.00006265369,"about_ca_system_score_gemma":0.000053489784,"threshold_uncertainty_score":0.8578592},"labels":[],"label_agreement":null},{"id":"W4360584738","doi":"10.2316/j.2023.206-0764","title":"A DYNAMIC SECOND-ORDER ESTIMATION STRATEGY FOR FAULTY SYSTEMS, 1-14.","year":2023,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","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":true,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Estimation; Order (exchange); Computer science; Economics; Finance","score_opus":0.08936748120290379,"score_gpt":0.4415989860009116,"score_spread":0.3522315047980078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360584738","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":[0.08478656,0.00006827331,0.91087353,0.0028165744,0.00078257965,0.00026022014,0.000057494955,0.000070681126,0.00028407542],"genre_scores_gemma":[0.97909886,0.000035292775,0.019687066,0.00004873738,0.00008463362,0.000012711358,0.000055378052,0.000008792335,0.00096850964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981756,0.00003766309,0.00079255307,0.00013697644,0.0007651301,0.000092081806],"domain_scores_gemma":[0.9967119,0.0005176917,0.0006738841,0.00011243143,0.0019310184,0.000053054464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012956265,0.00008037499,0.00015931543,0.0004773416,0.00009076726,0.00042994056,0.00031252345,0.00006291247,0.000049537262],"category_scores_gemma":[0.0007211301,0.00006370736,0.00007121929,0.0003650582,0.000025995629,0.00044218882,0.00003563435,0.00007174778,0.000023629073],"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":[0.000017854243,0.000031225616,0.00022062917,0.0000090140165,0.000040918778,0.0000024524998,0.0001238361,0.87961656,0.0003965768,0.027216736,0.006227893,0.086096294],"study_design_scores_gemma":[0.00035647032,0.000054527645,0.0065688067,0.000028844046,0.000010144777,0.000035503304,0.00017925745,0.9438601,0.000041990425,0.044095945,0.004702961,0.00006545945],"about_ca_topic_score_codex":0.0000028481477,"about_ca_topic_score_gemma":0.000003390207,"teacher_disagreement_score":0.8943123,"about_ca_system_score_codex":0.000051646268,"about_ca_system_score_gemma":0.00006256536,"threshold_uncertainty_score":0.41459268},"labels":[],"label_agreement":null},{"id":"W4362503033","doi":"10.1007/978-3-031-25326-3","title":"A Course of Stochastic Analysis","year":2023,"lang":"en","type":"book","venue":"CMS/CAIMS books in mathematics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Course (navigation); Mathematical statistics; Stochastic process; Mathematical finance; Computer science; Mathematical economics; Econometrics; Statistical physics; Mathematics; Statistics; Economics; Financial economics; Engineering; Physics","score_opus":0.1549609381091449,"score_gpt":0.43890666261972877,"score_spread":0.28394572451058386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362503033","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00065590686,0.00025534802,0.52577853,0.0001984267,0.00021447722,0.0016732063,0.0005372916,0.00038752786,0.47029924],"genre_scores_gemma":[0.01268328,0.000013054916,0.0071702767,0.000037822196,0.000070056354,0.000113722046,0.00006471288,0.00007320695,0.9797739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957673,0.00005075415,0.0019422516,0.00056112517,0.0014282078,0.00025035872],"domain_scores_gemma":[0.9925082,0.003825314,0.0012386991,0.001858893,0.00047540636,0.000093522314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002369501,0.00032013084,0.0012634505,0.0015198883,0.00006470732,0.00010191688,0.0012785739,0.0003662328,0.00045444185],"category_scores_gemma":[0.0010574796,0.00026002154,0.00056193,0.0016176208,0.00023058121,0.00006221272,0.00026141788,0.0003462199,0.0004327298],"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":[0.000017429458,0.0007429074,0.00022829742,0.0003872707,0.0013913166,0.000025630543,0.006438575,0.029603327,0.000056988734,0.6717791,0.27211794,0.017211234],"study_design_scores_gemma":[0.000121667574,0.00002266717,0.00009203256,0.00017928636,0.00040753823,0.0000013317248,0.0002989693,0.06274417,0.00002138131,0.9297388,0.006106505,0.0002656214],"about_ca_topic_score_codex":0.0000054905504,"about_ca_topic_score_gemma":0.00006504978,"teacher_disagreement_score":0.5186083,"about_ca_system_score_codex":0.000113500406,"about_ca_system_score_gemma":0.00033067673,"threshold_uncertainty_score":0.9999852},"labels":[],"label_agreement":null},{"id":"W4362576762","doi":"10.22215/etd/2023-15447","title":"A Web Based Architecture to Operationalize Geospatial Simulation Environments","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Geospatial analysis; Software engineering; Operationalization; Modular design; Systems engineering; Modeling and simulation; Simulation; Engineering; Programming language","score_opus":0.07496620548016444,"score_gpt":0.4286712328369388,"score_spread":0.35370502735677434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362576762","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":[0.19160895,0.000030670366,0.762982,0.0034097363,0.0014832354,0.0048932666,0.000560068,0.0012018229,0.033830218],"genre_scores_gemma":[0.7745745,0.0000027517217,0.00887044,0.0011817061,0.00025833675,0.00056695123,0.0028735895,0.000081878134,0.21158983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956816,0.00011616364,0.00093446247,0.0009148189,0.0021033154,0.00024965825],"domain_scores_gemma":[0.99707955,0.0013394846,0.0002812344,0.0008836262,0.00023098142,0.00018513479],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00080470904,0.0003145282,0.00035326526,0.00076722034,0.00028354596,0.00034630307,0.00075464323,0.0003354678,0.00499204],"category_scores_gemma":[0.0011981606,0.00025717152,0.00021174974,0.0011687437,0.00001775605,0.00010392024,0.000057646816,0.00023002524,0.00452221],"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":[0.000077317665,0.00007599745,0.0002074196,0.0000065787053,0.000016344708,0.0000015524721,0.00051073503,0.90228945,0.0015953945,0.0010434666,0.016678689,0.07749703],"study_design_scores_gemma":[0.00057954947,0.000096349766,0.022132177,0.000050298484,0.000036826812,2.9844165e-7,0.00048217407,0.45794192,0.0023594885,0.017643584,0.49796146,0.0007158533],"about_ca_topic_score_codex":0.00005464428,"about_ca_topic_score_gemma":0.00069428864,"teacher_disagreement_score":0.7541116,"about_ca_system_score_codex":0.00008362352,"about_ca_system_score_gemma":0.00019623133,"threshold_uncertainty_score":0.9999881},"labels":[],"label_agreement":null},{"id":"W4365397217","doi":"10.2139/ssrn.4417073","title":"Dynamic Performance Simulation and Treatment Alternatives Evaluation for Process Intensification for a Wastewater Treatment Plant in Toronto","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Process (computing); Sewage treatment; Environmental science; Wastewater; Process engineering; Computer science; Engineering; Environmental engineering","score_opus":0.16449979384069424,"score_gpt":0.4783889662844869,"score_spread":0.31388917244379266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365397217","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":[0.9314659,0.0007344613,0.062415693,0.00081510935,0.00019101727,0.0041725514,0.00012909743,0.000054007167,0.00002211995],"genre_scores_gemma":[0.99249285,0.002850965,0.0007052753,0.000009148088,0.0001181975,0.0027234517,0.0003154833,0.00003476644,0.00074985897],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970279,0.000108424734,0.00086356956,0.0006663914,0.00055783533,0.0007759072],"domain_scores_gemma":[0.9975557,0.0006865791,0.0006481417,0.00035930192,0.0006935386,0.0000567729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038181564,0.0002832924,0.00038934214,0.00030615128,0.00023861752,0.00022349595,0.0002944025,0.00016480756,0.000011499748],"category_scores_gemma":[0.0003343567,0.00020172997,0.00016062478,0.00013222038,0.000030358575,0.00029665802,0.000043667478,0.000252143,0.0000034081052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006342264,0.000288223,0.0025339522,0.00003212148,0.0002142654,2.0347287e-7,0.0035184636,0.35730988,0.00015408636,0.004292118,0.000013374909,0.6310091],"study_design_scores_gemma":[0.0011288375,0.00069422135,0.002090354,0.0000472082,0.000069856476,0.0000057642837,0.0025650626,0.7527159,0.00017961631,0.24004394,0.00030097735,0.00015825708],"about_ca_topic_score_codex":0.00026139867,"about_ca_topic_score_gemma":0.0086497525,"teacher_disagreement_score":0.63085085,"about_ca_system_score_codex":0.006947393,"about_ca_system_score_gemma":0.0012504699,"threshold_uncertainty_score":0.99686474},"labels":[],"label_agreement":null},{"id":"W4367724627","doi":"10.1007/978-3-031-31234-2","title":"Performance Evaluation Methodologies and Tools","year":2023,"lang":"en","type":"book","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ioannina; Universitat de les Illes Balears; Université de Versailles Saint-Quentin-en-Yvelines; Indian Institute of Technology Delhi; Avignon Université; University of Minnesota; Universidad de Zaragoza; Indian Institute of Technology Madras; Imperial College London; Indian Institute of Technology Roorkee; Amherst College; Indian Institute of Science; Aalto-Yliopisto; York University; Indian Institute of Technology Bombay; McMaster University","keywords":"Computer science","score_opus":0.25756394945385436,"score_gpt":0.41063946781361016,"score_spread":0.1530755183597558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367724627","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":[0.0039448766,0.00023499735,0.99039143,0.0011334403,0.00039590744,0.0010851324,0.000092868875,0.00010924127,0.0026121289],"genre_scores_gemma":[0.019236334,0.00017237283,0.979744,0.0001164616,0.00012586036,0.00011383386,0.000059755057,0.0000147622595,0.00041657826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982924,0.000042085994,0.00076225644,0.00017099774,0.00057603605,0.00015621248],"domain_scores_gemma":[0.99563193,0.0028013326,0.0005463324,0.0005725271,0.00041780825,0.000030050945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030475494,0.000180248,0.0003296548,0.00028520767,0.0009190263,0.00041291013,0.0013446353,0.00018472494,0.0000016900826],"category_scores_gemma":[0.0012070558,0.00012723956,0.000121406876,0.0005944994,0.00046597142,0.00045816778,0.0006847463,0.00025013334,0.0000013046164],"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":[9.645406e-7,0.0000035012283,0.000016081862,0.000047279405,0.0000213934,4.661945e-9,0.0007354661,0.77483386,0.000005547627,0.004591119,0.00060745317,0.21913736],"study_design_scores_gemma":[0.00011624676,0.000036768237,0.0009351474,0.00008820756,0.000045300916,0.0000025981728,0.000017513825,0.9619606,0.00006593518,0.008753931,0.027801052,0.0001766643],"about_ca_topic_score_codex":0.0000076531105,"about_ca_topic_score_gemma":0.000021284559,"teacher_disagreement_score":0.21896069,"about_ca_system_score_codex":0.000060362076,"about_ca_system_score_gemma":0.00023865714,"threshold_uncertainty_score":0.70685},"labels":[],"label_agreement":null},{"id":"W4379518200","doi":"10.21428/594757db.b75a857c","title":"Better Bridges Between Model and RealWorld","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"Institut de Valorisation des Données","keywords":"Computer science","score_opus":0.2914717786582743,"score_gpt":0.46891330991416075,"score_spread":0.17744153125588646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379518200","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":[0.87192816,0.0000040716177,0.10595334,0.011223737,0.000010967225,0.00012288326,0.000019394967,0.0010403614,0.009697093],"genre_scores_gemma":[0.98535323,0.0000041960993,0.0047167963,0.00045789484,0.000040454805,0.000013137782,0.0000026313367,0.000009070385,0.009402562],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992004,0.000014575939,0.00020942565,0.00021553991,0.00026760562,0.00009244749],"domain_scores_gemma":[0.9990402,0.00052948005,0.000033262982,0.00028367667,0.000061660634,0.000051762072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006308825,0.000044628596,0.00008348293,0.00014509904,0.000109447945,0.0001058359,0.00014344636,0.00002916208,0.0000467607],"category_scores_gemma":[0.00009263103,0.000031218246,0.000025034284,0.00052886334,0.000032917706,0.00010331623,0.000098968696,0.000037248963,0.00044020457],"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":[0.0000012790695,0.000008189,0.14382988,0.0000013916689,0.000005963672,0.000009678987,0.00021261092,0.0021392405,0.00014478828,0.049980063,0.39700875,0.40665817],"study_design_scores_gemma":[0.00008266019,0.0000075794987,0.109919325,0.0000016719557,0.000004548003,0.000008374807,0.00013207777,0.4006811,0.0005033695,0.44824287,0.040306766,0.00010964074],"about_ca_topic_score_codex":0.000026621434,"about_ca_topic_score_gemma":0.000013174357,"teacher_disagreement_score":0.40654853,"about_ca_system_score_codex":0.000003612273,"about_ca_system_score_gemma":0.000006003994,"threshold_uncertainty_score":0.5658086},"labels":[],"label_agreement":null},{"id":"W4381613794","doi":"10.11159/ffhmt23.132","title":"Multiphase Flow Modelling Using Surrogate Model","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Surrogate model; Multiphase flow; Flow (mathematics); Machine learning; Mechanics","score_opus":0.21634903096163632,"score_gpt":0.3782014723938651,"score_spread":0.16185244143222877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381613794","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":[0.7240551,0.000011608342,0.26386893,0.003421638,0.00019072785,0.00037798772,0.00013258123,0.00011746434,0.0078239115],"genre_scores_gemma":[0.98733175,0.0000874126,0.011403409,0.00016299302,0.00005051692,0.000031150917,0.0000060076004,0.000015971838,0.00091079855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978693,0.00000859743,0.00050808344,0.00042196808,0.0009966226,0.00019541336],"domain_scores_gemma":[0.99869245,0.00013316453,0.000042366784,0.0001608054,0.00088880735,0.000082377264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007681993,0.00016825265,0.0002139425,0.00027634823,0.00018159271,0.0002256179,0.00078703056,0.00008763593,0.000106696505],"category_scores_gemma":[0.00010152956,0.00011785413,0.00014239419,0.0004620959,0.00010773724,0.00033302288,0.00008650203,0.00015027085,0.000018935878],"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":[0.00012929607,0.0000647739,0.0005367319,0.000014729841,0.000032024724,3.353752e-7,0.00071093807,0.4951949,0.3340931,0.1643449,0.00075656874,0.004121689],"study_design_scores_gemma":[0.00032647996,0.000016554295,0.000021259864,0.000055302247,0.000012569404,0.0000013816557,0.00019206916,0.8997601,0.031821586,0.0673618,0.00031370926,0.00011715196],"about_ca_topic_score_codex":0.000018926528,"about_ca_topic_score_gemma":0.0000015271061,"teacher_disagreement_score":0.40456524,"about_ca_system_score_codex":0.000032369397,"about_ca_system_score_gemma":0.0000501884,"threshold_uncertainty_score":0.4805952},"labels":[],"label_agreement":null},{"id":"W4381744508","doi":"10.1109/cscwd57460.2023.10152637","title":"New Employee Training Scheduling Using the E-CARGO Model","year":2023,"lang":"en","type":"article","venue":"","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":"Nipissing University","funders":"","keywords":"Computer science; Robustness (evolution); Integer programming; Python (programming language); Scheduling (production processes); Job shop scheduling; Mathematical optimization; Operations research; Artificial intelligence; Distributed computing; Algorithm; Engineering; Programming language; Mathematics; Computer network","score_opus":0.5702328454278673,"score_gpt":0.5068331012077484,"score_spread":0.06339974422011896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381744508","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":[0.20990066,0.0000069546986,0.7811621,0.0016896948,0.00003733935,0.00011585724,0.0000016700765,0.00031441118,0.006771328],"genre_scores_gemma":[0.872259,0.000002156982,0.11910222,0.00041099708,0.00008083961,0.000007476978,0.0000010436036,0.000009504544,0.00812676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868363,0.000026030037,0.00031255579,0.00024240928,0.0005642096,0.00017113885],"domain_scores_gemma":[0.9987198,0.0005778442,0.00006454183,0.00047009415,0.0000999566,0.000067757304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012132035,0.00006734215,0.00009714637,0.0001355232,0.0003124883,0.00022440289,0.00051473477,0.000040124283,0.0003105151],"category_scores_gemma":[0.00037734568,0.000038868948,0.0000775429,0.0014106153,0.000026010026,0.00015525219,0.00011009081,0.00008042392,0.00028723813],"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":[0.0000016678853,0.000003004851,0.0011678059,3.1102715e-7,0.0000043376353,3.5588994e-7,0.0015078807,0.817525,0.0022435528,0.05323361,0.014502586,0.10980987],"study_design_scores_gemma":[0.000043782224,0.0000021875219,0.00037084316,0.0000021765015,0.0000025351949,8.4926256e-7,0.0010534397,0.81223106,0.000516645,0.18234101,0.0033837785,0.000051700525],"about_ca_topic_score_codex":0.000048953254,"about_ca_topic_score_gemma":0.000010115567,"teacher_disagreement_score":0.66235834,"about_ca_system_score_codex":0.000012182674,"about_ca_system_score_gemma":0.00010830715,"threshold_uncertainty_score":0.36919606},"labels":[],"label_agreement":null},{"id":"W4381744675","doi":"10.4050/f-0079-2023-0024","title":"An Assessment Framework for the Maturity of Simulation-Based Verification","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Systems engineering; Process (computing); Computer science; Verification and validation; Verification; Software engineering; Intelligent verification; Fidelity; Maturity (psychological); Simulation modeling; Formal verification; Functional verification; Focus (optics); Engineering; Programming language; Software","score_opus":0.22431334670733083,"score_gpt":0.5645425433147826,"score_spread":0.34022919660745177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381744675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01390019,0.0000028250302,0.98278886,0.0021644766,0.00005514491,0.00052863144,0.00002891968,0.00015437917,0.00037655054],"genre_scores_gemma":[0.9224283,9.640139e-7,0.07699487,0.00019700894,0.00003462764,0.00014398215,0.000023349488,0.000005383429,0.00017149892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881655,0.00004818091,0.00035505628,0.0002041712,0.00049351424,0.00008255419],"domain_scores_gemma":[0.9884016,0.010232846,0.00016099875,0.0007888955,0.00038591275,0.000029779594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017341712,0.000050992345,0.000087456865,0.00010265143,0.00019489745,0.0000883306,0.0004441833,0.000058068857,0.00037631846],"category_scores_gemma":[0.0010162593,0.000030308505,0.00007105758,0.00095582125,0.000042967193,0.00009524173,0.000015599357,0.00005028142,0.000033732813],"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":[0.0000085049105,0.0000480369,0.0023588103,0.0000019781512,0.0000029939195,1.1973673e-8,0.000051589548,0.6175166,0.0003736308,0.34281534,0.0016543638,0.035168167],"study_design_scores_gemma":[0.000048185848,0.000018410534,0.04558811,0.0000015653861,0.0000033083784,6.07836e-9,0.00013238122,0.7063827,0.0010743957,0.23813535,0.008585433,0.00003017314],"about_ca_topic_score_codex":0.000010127689,"about_ca_topic_score_gemma":0.0000034876493,"teacher_disagreement_score":0.90852815,"about_ca_system_score_codex":0.000012268123,"about_ca_system_score_gemma":0.000047740803,"threshold_uncertainty_score":0.41204235},"labels":[],"label_agreement":null},{"id":"W4383888939","doi":"10.1109/icse-seip58684.2023.00041","title":"Hybrid Cloudification of Legacy Software for Efficient Simulation of Gas Turbine Designs","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Siemens (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Cloud computing; Computer science; Software; Context (archaeology); Software as a service; Task (project management); Simulation software; Siemens; Systems engineering; Distributed computing; Co-simulation; Cloud testing; Software engineering; Simulation; Operating system; Software development; Engineering; Cloud computing security","score_opus":0.20742115072803813,"score_gpt":0.4364541144614061,"score_spread":0.22903296373336796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383888939","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":[0.30524123,0.0000067804253,0.6935802,0.00024749525,0.0000393626,0.0005020916,0.000037625377,0.00012387756,0.00022130461],"genre_scores_gemma":[0.9834476,0.0000023201744,0.015555728,0.00002352408,0.000025619785,0.00006124673,0.00004999825,0.000009416199,0.0008245305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982762,0.000038017042,0.0007377848,0.00026616876,0.0005625154,0.000119311415],"domain_scores_gemma":[0.9953048,0.0026966035,0.00035865518,0.00051080924,0.0010902298,0.00003887973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013594968,0.00007605036,0.00019115243,0.00030806332,0.00008107099,0.000033192384,0.00030825599,0.00003783657,0.00015094923],"category_scores_gemma":[0.0024444296,0.000059187456,0.00011021078,0.0012354222,0.000053955937,0.00010269566,0.000044992532,0.00002769946,0.00005161276],"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":[0.000032685817,0.000088660905,0.00060861243,0.00001290384,0.0000061017995,5.885475e-8,0.00013091066,0.91385734,0.008382766,0.015024538,0.005403525,0.056451887],"study_design_scores_gemma":[0.0002436658,0.00006321638,0.003550232,0.0000080182635,0.00000914543,2.1252444e-7,0.00013018041,0.8615244,0.08336157,0.046805147,0.0042287516,0.00007546515],"about_ca_topic_score_codex":0.000012888846,"about_ca_topic_score_gemma":9.379178e-7,"teacher_disagreement_score":0.6782064,"about_ca_system_score_codex":0.00001604988,"about_ca_system_score_gemma":0.000041901607,"threshold_uncertainty_score":0.29263872},"labels":[],"label_agreement":null},{"id":"W4384695574","doi":"10.22215/etd/2023-15536","title":"Efficient DEVS Simulations Design on Heterogeneous Platforms","year":2023,"lang":"en","type":"dissertation","venue":"","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":"Carleton University","funders":"Universidad Nacional de San Luis","keywords":"DEVS; Computer science; Reuse; Formalism (music); Multi-core processor; Discrete event simulation; Benchmark (surveying); Computation; Distributed computing; Parallel computing; Modeling and simulation; Computer engineering; Programming language; Simulation","score_opus":0.2189639804773111,"score_gpt":0.45478972058614914,"score_spread":0.23582574010883803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384695574","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":[0.7289264,0.00006649881,0.20681885,0.00032437703,0.0021866113,0.0043677413,0.00027532407,0.0028193062,0.054214872],"genre_scores_gemma":[0.89802265,0.0000049070572,0.0025476173,0.00018230942,0.00010171855,0.00016777842,0.0005398459,0.00007324707,0.09835992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995939,0.000046461544,0.0010529724,0.0008449577,0.0018003292,0.00031624254],"domain_scores_gemma":[0.99465907,0.0031105129,0.0004287813,0.0011143618,0.00054083025,0.0001464291],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00090098655,0.0003363613,0.00039289566,0.0008929932,0.00043622538,0.00031984752,0.00084500207,0.00038095898,0.0019104152],"category_scores_gemma":[0.0011004483,0.00024254054,0.00026397663,0.0015306333,0.000027740205,0.000041175044,0.00004451928,0.00025979086,0.005839426],"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":[0.00004829398,0.00008617,0.00001938873,0.0000037563475,0.000018966468,0.0000032644118,0.00029830984,0.95911145,0.00012009042,0.006902641,0.010780459,0.022607196],"study_design_scores_gemma":[0.00034686018,0.0001970563,0.0018248146,0.000069556176,0.000046422774,0.0000027055164,0.00086605095,0.8422538,0.0109302765,0.13058382,0.012071029,0.00080758514],"about_ca_topic_score_codex":0.000024724368,"about_ca_topic_score_gemma":0.00010909006,"teacher_disagreement_score":0.20427123,"about_ca_system_score_codex":0.00009090024,"about_ca_system_score_gemma":0.00013671319,"threshold_uncertainty_score":0.999002},"labels":[],"label_agreement":null},{"id":"W4385341905","doi":"10.5772/intechopen.1002004","title":"Immersive Innovation: Exploring Interactive Virtual Reality through Distributed Simulations","year":2023,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Virtual reality; Synchronization (alternating current); Distributed computing; Discrete event simulation; Human–computer interaction; Modeling and simulation; Architecture; Simulation; Computer network","score_opus":0.4288858941497217,"score_gpt":0.452855465230586,"score_spread":0.023969571080864283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385341905","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002301409,0.000006583222,0.21562313,0.0010513066,0.0006648355,0.0013834994,0.0022160343,0.0005253462,0.7782991],"genre_scores_gemma":[0.39543554,0.000011876327,0.00046405813,0.00040401545,0.00033163474,0.00028178983,0.00084561267,0.00011717198,0.6021083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952016,0.000069240225,0.0018757251,0.0011375868,0.0013947493,0.0003211226],"domain_scores_gemma":[0.9921878,0.0026279173,0.0012008577,0.0016145763,0.0022770974,0.00009172678],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009512372,0.000498709,0.00069076626,0.0007779899,0.0004518347,0.00043695437,0.001356755,0.00042993907,0.0014691465],"category_scores_gemma":[0.0015864127,0.0004559753,0.00029848967,0.0005681092,0.00029824083,0.0005909314,0.0008027651,0.000911779,0.0018100494],"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":[0.000048619404,0.00001666605,0.00000636511,0.0000031949419,0.00010421727,0.00001087741,0.0008024391,0.00063567405,0.00022490475,0.9364887,0.020501511,0.041156843],"study_design_scores_gemma":[0.0001711626,0.000053832293,0.000023412138,0.00012695379,0.000030429623,0.00000315769,0.000524018,0.0005193551,0.0018235449,0.5104796,0.48586997,0.00037450527],"about_ca_topic_score_codex":0.00008984339,"about_ca_topic_score_gemma":0.00006737311,"teacher_disagreement_score":0.46536848,"about_ca_system_score_codex":0.00031864943,"about_ca_system_score_gemma":0.00019601757,"threshold_uncertainty_score":0.9997892},"labels":[],"label_agreement":null},{"id":"W4385430519","doi":"10.15607/rss.2023.xix.040","title":"SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Rendering (computer graphics); Reinforcement learning; Differentiable function; Computer science; Artificial intelligence; Computer graphics (images); Mathematics; Mathematical analysis","score_opus":0.15999069265418786,"score_gpt":0.4130353987395262,"score_spread":0.25304470608533836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385430519","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":[0.054960437,0.0000023121004,0.9429484,0.00030311252,0.000022050262,0.00024648555,0.0000019639613,0.0005672482,0.00094800687],"genre_scores_gemma":[0.99117017,0.0000010334855,0.005522784,0.00021088391,0.000032580254,0.000014091228,0.000052489842,0.000019239145,0.002976706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815726,0.00005100467,0.0004348724,0.00042636562,0.00070320803,0.00022726305],"domain_scores_gemma":[0.99829596,0.0007960297,0.0001640568,0.0004177789,0.0002374937,0.00008867373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059953984,0.00014536215,0.00018387848,0.00021902515,0.0003975561,0.00022250485,0.00015153809,0.000067705536,0.00015061672],"category_scores_gemma":[0.00017057426,0.0001218048,0.00007606769,0.00088518846,0.000042500913,0.00017519848,0.00008244017,0.000114570634,0.000085662934],"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":[0.0000072827406,0.000008220021,0.0007108369,0.000004532069,0.000002717688,2.7069086e-7,0.000045914632,0.97448504,0.0011045701,0.00047558374,0.0002517165,0.022903312],"study_design_scores_gemma":[0.00028028953,0.000026028805,0.0006130818,0.000013028847,0.0000076216816,9.171459e-8,0.00006592026,0.98171633,0.0045989384,0.011467708,0.0010593063,0.00015166195],"about_ca_topic_score_codex":0.00003049572,"about_ca_topic_score_gemma":0.000005361231,"teacher_disagreement_score":0.9374256,"about_ca_system_score_codex":0.000038095284,"about_ca_system_score_gemma":0.00003923544,"threshold_uncertainty_score":0.49670556},"labels":[],"label_agreement":null},{"id":"W4385452124","doi":"10.23919/ecc57647.2023.10178314","title":"Model-Free Game-Theoretic Feedback optimization","year":2023,"lang":"en","type":"article","venue":"","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":"University of Toronto","funders":"","keywords":"Computer science; Game theory; Mathematical optimization; Mathematical economics; Mathematics","score_opus":0.15912828222317463,"score_gpt":0.41600317488656324,"score_spread":0.2568748926633886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385452124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007363622,0.0000034393906,0.9085962,0.0034169196,0.000036603997,0.00018373884,0.000009927588,0.00064438046,0.079745166],"genre_scores_gemma":[0.9127327,0.000019992509,0.053592887,0.00044817795,0.000031979725,0.00004799159,0.0000152321845,0.000013312961,0.03309773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855614,0.000031470798,0.0003449343,0.00029526112,0.0006254483,0.00014674352],"domain_scores_gemma":[0.9983637,0.00038659613,0.00007351931,0.00088922307,0.00022076287,0.00006624808],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000875333,0.000072208175,0.000101410435,0.00023486682,0.00009704165,0.00015567485,0.0006874769,0.000055323722,0.0021336013],"category_scores_gemma":[0.00077569915,0.000053113956,0.00006316482,0.0016288032,0.000057247536,0.00016797018,0.00017724263,0.000046969122,0.0017309244],"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":[0.0000017188735,0.000007490148,0.000102384794,3.631455e-7,8.514332e-7,1.5005001e-7,0.000048381626,0.75101423,0.00004006032,0.18253288,0.062043384,0.004208083],"study_design_scores_gemma":[0.00007189014,0.0000047891044,0.00015026312,9.128896e-7,0.0000013825118,2.9997216e-7,0.00005382274,0.63254327,0.00018974878,0.36402398,0.0029117619,0.000047887206],"about_ca_topic_score_codex":0.0000038460353,"about_ca_topic_score_gemma":0.0000020993805,"teacher_disagreement_score":0.9053691,"about_ca_system_score_codex":0.00001405951,"about_ca_system_score_gemma":0.000024139712,"threshold_uncertainty_score":0.9990463},"labels":[],"label_agreement":null},{"id":"W4385834155","doi":"10.23919/cisti58278.2023.10211660","title":"Functional Extension in Python for Simulating Discrete Events in Queueing Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Queueing theory; Computer science; Python (programming language); Extension (predicate logic); Discrete event simulation; Layered queueing network; Functional programming; Distributed computing; Programming language; Event (particle physics); Theoretical computer science; Simulation; Computer network","score_opus":0.19829049657124767,"score_gpt":0.4535870788721022,"score_spread":0.2552965823008545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385834155","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":[0.47361678,0.000009273753,0.5236795,0.0009878572,0.00012410595,0.00053155614,0.0000025379986,0.00017294122,0.00087548647],"genre_scores_gemma":[0.9951921,0.0000032130795,0.0021753935,0.00016040653,0.000063409585,0.00010547174,0.000022261585,0.000010779954,0.0022669365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984589,0.00004498665,0.0005456985,0.000362758,0.0003805489,0.00020709746],"domain_scores_gemma":[0.99749076,0.002030466,0.000089537585,0.0002524608,0.0001000064,0.000036789643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002113907,0.00007629248,0.00013914323,0.00038127557,0.00010066351,0.0000362065,0.00015993122,0.000069559224,0.00012755621],"category_scores_gemma":[0.00088635954,0.000060020768,0.00006400382,0.0016898676,0.0000120086515,0.000194368,0.000088372115,0.00008599419,0.000057928577],"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":[0.000023318931,0.000017817016,0.08338738,0.0000012732789,9.244431e-7,6.4397125e-7,0.000060535644,0.87233716,0.00029001487,0.005827471,0.0022793852,0.03577404],"study_design_scores_gemma":[0.00022620871,0.000008459935,0.2287605,0.00001435418,5.3473747e-7,1.8502382e-7,0.00014464559,0.71313727,0.00004599258,0.05639311,0.0012095518,0.00005917945],"about_ca_topic_score_codex":0.000065743974,"about_ca_topic_score_gemma":0.00017021933,"teacher_disagreement_score":0.52157533,"about_ca_system_score_codex":0.00003586889,"about_ca_system_score_gemma":0.000015996246,"threshold_uncertainty_score":0.24475758},"labels":[],"label_agreement":null},{"id":"W4386579208","doi":"10.1007/s11081-023-09839-3","title":"A taxonomy of constraints in black-box simulation-based optimization","year":2023,"lang":"en","type":"article","venue":"Optimization and Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Science; American Institute of Mathematics; Advanced Scientific Computing Research; U.S. Department of Energy","keywords":"Computer science; Taxonomy (biology); Mathematical optimization; Black box; Context (archaeology); Dialog box; Nonlinear programming; Theoretical computer science; Nonlinear system; Artificial intelligence; Mathematics","score_opus":0.07016011307618368,"score_gpt":0.3312541449984584,"score_spread":0.2610940319222747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386579208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010229224,0.000005348935,0.98868084,0.00014121314,0.000029582327,0.00026069343,0.000008760102,0.00012642606,0.0005179237],"genre_scores_gemma":[0.9029069,0.000010832496,0.09691451,0.000025408825,0.000010532025,0.0000362257,0.000029470055,0.000009805849,0.00005631645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989928,0.000020021442,0.00043582305,0.00020048856,0.00024050706,0.00011035149],"domain_scores_gemma":[0.998801,0.0007209044,0.00010262453,0.00018129266,0.00014716372,0.000047050708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049510255,0.00008248166,0.00014345352,0.00056522834,0.000035477533,0.000052348852,0.000106529675,0.00006172246,0.00024553857],"category_scores_gemma":[0.000695845,0.00008140955,0.00003025419,0.001541443,0.000049170274,0.00015207299,0.000024331235,0.000047655114,0.000008589885],"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":[0.0000021832807,0.000009417941,0.0022462595,0.000005233797,0.0000014685005,2.7075257e-7,0.00005151594,0.9954343,0.000045761033,0.00056687044,0.000029413812,0.0016073245],"study_design_scores_gemma":[0.00025783412,0.000007642152,0.0018535147,0.000017355635,0.0000021468252,1.2593704e-7,0.000071295945,0.9970212,0.00014458869,0.000053853622,0.00048978836,0.00008065203],"about_ca_topic_score_codex":0.0000045317493,"about_ca_topic_score_gemma":6.7834674e-7,"teacher_disagreement_score":0.89267766,"about_ca_system_score_codex":0.00001679375,"about_ca_system_score_gemma":0.000024753048,"threshold_uncertainty_score":0.3319785},"labels":[],"label_agreement":null},{"id":"W4387578677","doi":"10.1080/17477778.2023.2265872","title":"Decoupling visualisation for better DEVS-based simulation applications","year":2023,"lang":"en","type":"article","venue":"Journal of Simulation","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":"Carleton University","funders":"","keywords":"Computer science; Visualization; Reuse; Debugging; DEVS; Discrete event simulation; Software engineering; Python (programming language); Petri net; Distributed computing; Modeling and simulation; Programming language; Simulation; Data mining","score_opus":0.2887919544716872,"score_gpt":0.545384253215786,"score_spread":0.2565922987440988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387578677","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":[0.13819925,0.000015410125,0.8598764,0.0009187498,0.00014311878,0.0006665475,0.00001629094,0.00009568141,0.00006857609],"genre_scores_gemma":[0.9859871,0.000002404714,0.012734113,0.00029959108,0.0006861234,0.00007649785,0.00006199106,0.000024466473,0.00012769832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970221,0.000068347865,0.0014155919,0.00026517492,0.0010378591,0.00019093664],"domain_scores_gemma":[0.99111754,0.0051385905,0.0012013257,0.00036306557,0.0020807139,0.00009878479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032362824,0.00013525969,0.0002622486,0.00095333025,0.00031719616,0.00021442592,0.00036057693,0.00012864493,0.00009305006],"category_scores_gemma":[0.0017423083,0.00011492731,0.00025807397,0.001690185,0.000035533365,0.00061719015,0.000025186824,0.00011586116,0.00009869356],"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":[0.000029845714,0.00003391629,0.002098414,0.000004750118,0.00000796844,2.0977264e-7,0.000073418785,0.9273467,0.00095097075,0.0006078207,0.000740802,0.068105176],"study_design_scores_gemma":[0.0005613761,0.00006843098,0.0051095616,0.000012280062,0.000027215498,5.9292177e-7,0.00006506856,0.90438855,0.000915616,0.030861387,0.05787605,0.000113890565],"about_ca_topic_score_codex":0.0000011779247,"about_ca_topic_score_gemma":0.0000015952061,"teacher_disagreement_score":0.84778786,"about_ca_system_score_codex":0.000097702155,"about_ca_system_score_gemma":0.000094642724,"threshold_uncertainty_score":0.46865997},"labels":[],"label_agreement":null},{"id":"W4387667103","doi":"10.1145/3580414","title":"Artifact for the OOPSLA 2023 paper 'Simple Reference Immutability for System F-Sub'","year":2023,"lang":"en","type":"dataset","venue":"Artifact Digital Object Group","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Immutability; Artifact (error); Simple (philosophy); Computer science; Blockchain; Artificial intelligence; Computer security; Epistemology; Philosophy","score_opus":0.13380828542265144,"score_gpt":0.40297356242563204,"score_spread":0.2691652770029806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387667103","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006648851,0.00006403911,0.009922403,0.00038980172,0.00047381115,0.0038338418,0.98394245,0.00036744808,0.00034129305],"genre_scores_gemma":[0.14731258,0.000024217687,0.00011202293,0.00023613207,0.0003454385,0.0037948608,0.84720516,0.000056462446,0.0009131132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951574,0.00008812108,0.0015944242,0.0012850709,0.0011982586,0.00067669264],"domain_scores_gemma":[0.9818072,0.013950317,0.00072063657,0.0027638206,0.0005789938,0.0001790821],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002083919,0.0005090746,0.0007430829,0.00023487103,0.00073542213,0.0017753355,0.0019716315,0.00037780564,0.00013298386],"category_scores_gemma":[0.0041708145,0.00032180225,0.0007057985,0.0010211013,0.0001903184,0.0007975484,0.00040215265,0.00032781495,0.0029523317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006676189,0.00007073573,0.000030531537,0.00006061941,0.00005115097,9.065154e-7,0.000015825126,0.00004297268,0.000044447886,0.0007816998,0.9748583,0.023976054],"study_design_scores_gemma":[0.00024933505,0.00016889552,0.0009717461,0.00003585427,0.00006720796,0.0000038978683,0.00045322246,0.0010736596,0.00016763675,0.021292964,0.97509855,0.0004170179],"about_ca_topic_score_codex":0.00027322775,"about_ca_topic_score_gemma":0.00042180132,"teacher_disagreement_score":0.14664769,"about_ca_system_score_codex":0.00017138092,"about_ca_system_score_gemma":0.00015404492,"threshold_uncertainty_score":0.9999234},"labels":[],"label_agreement":null},{"id":"W4388850009","doi":"10.24908/cmj.v23i2.16963","title":"The NATO Field School and Simulation Program","year":2023,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Political science; Mathematics","score_opus":0.07341232162357315,"score_gpt":0.42015484969366707,"score_spread":0.3467425280700939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388850009","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":[0.9314927,0.0019701947,0.0024458312,0.055079922,0.0005376617,0.0008764024,0.000030302865,0.00021992026,0.007347101],"genre_scores_gemma":[0.99670106,0.0001261488,0.00047374598,0.00076180545,0.0001412326,0.000017484725,0.0000021679637,0.0000055841997,0.0017707603],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989159,0.000065093176,0.00030266267,0.00014414967,0.0003465523,0.00022561912],"domain_scores_gemma":[0.9978972,0.00109699,0.000042737454,0.0002544169,0.00021671312,0.0004919054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014873296,0.000058046808,0.00006621966,0.0002509074,0.0010615945,0.00022822745,0.00031855408,0.00005038473,0.00027591965],"category_scores_gemma":[0.0020638956,0.000037394104,0.00004878349,0.00068915874,0.000050293333,0.00016849407,0.000024865649,0.0001949762,0.00020465722],"study_design_candidate":"not_applicable","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":[0.0000058319893,0.00000411395,0.013629972,6.296084e-7,0.000007579214,0.000013347162,0.00015682678,0.0060210284,0.000009038588,0.0011595569,0.20612192,0.7728702],"study_design_scores_gemma":[0.00007970811,0.00004515339,0.057981882,0.0000048010425,0.000002786761,0.000021465308,0.00056616985,0.10651246,0.000008325461,0.06879129,0.76591754,0.000068392015],"about_ca_topic_score_codex":0.002572307,"about_ca_topic_score_gemma":0.02453676,"teacher_disagreement_score":0.77280176,"about_ca_system_score_codex":0.00005429352,"about_ca_system_score_gemma":0.00023951048,"threshold_uncertainty_score":0.9932629},"labels":[],"label_agreement":null},{"id":"W4388873992","doi":"10.1115/detc2023-117079","title":"Non-Smooth Reduced Interface Models and Their Use in Co-Simulation of Mechanical Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Interconnectivity; Interface (matter); Macro; Computer science; Consolidation (business); Stability (learning theory); Interval (graph theory); Information transfer; Simulation; Mathematics","score_opus":0.2577325550198105,"score_gpt":0.44957431606754455,"score_spread":0.19184176104773404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388873992","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":[0.6663104,0.0000061764517,0.3324885,0.00007989669,0.000025566835,0.0002784244,0.000010200104,0.000069541326,0.00073127844],"genre_scores_gemma":[0.9985859,0.0000064516594,0.00044904245,0.000016888576,0.000008216695,0.000024554525,0.0000037122147,0.00000683061,0.0008984297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987505,0.000053043554,0.0005343845,0.00026840018,0.00029177495,0.00010186797],"domain_scores_gemma":[0.99811864,0.0012161988,0.0001170722,0.00035962203,0.00014557148,0.000042895095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010780093,0.0000742906,0.00019389181,0.00028091468,0.00003541198,0.000097477714,0.00020001212,0.0000705157,0.000029386409],"category_scores_gemma":[0.00016871955,0.000050157927,0.000033549528,0.00083817716,0.00002912817,0.00030770572,0.00007864094,0.000055985878,0.00002554102],"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":[0.000020458727,0.000036241512,0.0008594947,0.0000050044705,0.0000039696492,2.298219e-7,0.00071828335,0.95530486,0.0168349,0.018851077,0.0015006922,0.005864777],"study_design_scores_gemma":[0.00013300817,0.000018745013,0.0016746406,0.000014571106,8.595375e-7,2.8782748e-7,0.00097202725,0.9657838,0.0074906107,0.023434741,0.00042061126,0.000056092304],"about_ca_topic_score_codex":0.00015575373,"about_ca_topic_score_gemma":0.000028458098,"teacher_disagreement_score":0.33227545,"about_ca_system_score_codex":0.000014467742,"about_ca_system_score_gemma":0.000014872987,"threshold_uncertainty_score":0.20453809},"labels":[],"label_agreement":null},{"id":"W4388918290","doi":"10.1016/j.ifacol.2023.10.1051","title":"An object-oriented architecture to couple simulators and their machine learning surrogates models in the context of digital shadows","year":2023,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Context (archaeology); Task (project management); Object (grammar); Artificial intelligence; Architecture; Machine learning; Product (mathematics); Engineering; Systems engineering","score_opus":0.05858651749534415,"score_gpt":0.3590507491263761,"score_spread":0.3004642316310319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388918290","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":[0.9887254,0.00005895774,0.008027757,0.0020839665,0.000020549365,0.00044303827,0.0002773013,0.00012754173,0.00023549378],"genre_scores_gemma":[0.99706054,0.000010364409,0.0023175427,0.0002451556,0.00002976384,0.000025484376,0.00010902144,0.0000152187185,0.000186904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984452,0.00009425984,0.0004393737,0.00039345416,0.00041639002,0.00021129704],"domain_scores_gemma":[0.99770766,0.0015094305,0.00011943974,0.0004273319,0.00014236155,0.00009377124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097267295,0.00015917816,0.0002644654,0.00029650732,0.00014445855,0.00013567613,0.0004651607,0.00006484534,0.000038414393],"category_scores_gemma":[0.00058960204,0.00009237506,0.000072377465,0.0015563396,0.00008648159,0.00022046347,0.000098428565,0.00019854683,0.00001724888],"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":[0.00018623246,0.00037812616,0.09989776,0.000014100323,0.00003282499,0.00000555772,0.05575053,0.5674567,0.01125997,0.0061828247,0.00004598971,0.25878936],"study_design_scores_gemma":[0.00043225542,0.00021024453,0.006969501,0.00001786487,0.000004502635,0.0000036955116,0.01805254,0.9597105,0.0007090206,0.010457821,0.0032487728,0.00018332027],"about_ca_topic_score_codex":0.00012432916,"about_ca_topic_score_gemma":0.00033462115,"teacher_disagreement_score":0.39225376,"about_ca_system_score_codex":0.00001192338,"about_ca_system_score_gemma":0.000022722714,"threshold_uncertainty_score":0.3766946},"labels":[],"label_agreement":null},{"id":"W4389192054","doi":"10.22215/etd/2023-15664","title":"Using Solace Event Broker For Modeling &amp; Simulation","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Discrete event simulation; Event (particle physics); Distributed computing; Field (mathematics); Focus (optics); Publication; Visualization; Cloud computing; Architecture; Software; Simulation software; Simulation; Operating system; Data mining","score_opus":0.5180292198775057,"score_gpt":0.581503944986869,"score_spread":0.06347472510936325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389192054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068730414,0.00003019578,0.92710304,0.000075186574,0.00046500156,0.0010659486,0.000036256104,0.00032670354,0.0021672265],"genre_scores_gemma":[0.8010021,0.000008353401,0.041781593,0.000085178595,0.00026382884,0.00022006768,0.0010967521,0.00009144112,0.15545067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970322,0.00004128779,0.0010283812,0.00067707506,0.00098596,0.00023504904],"domain_scores_gemma":[0.99642223,0.001299761,0.0004059757,0.00066659495,0.0011301928,0.00007523852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013325806,0.00022497114,0.00033135276,0.00048328962,0.0003469497,0.00028947002,0.0004463202,0.00032645525,0.000352836],"category_scores_gemma":[0.0012849038,0.00019124374,0.0003135614,0.00076703104,0.000008630943,0.00019193596,0.000036228623,0.0001373389,0.00035428183],"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":[0.000025104462,0.000017014478,0.00001738504,0.00001140744,0.000009786,4.558099e-8,0.00024046078,0.98517776,0.00034250386,0.0020022132,0.002277736,0.009878578],"study_design_scores_gemma":[0.000109388384,0.0000069190764,0.000035484958,0.000029840872,0.000027682858,1.2898622e-7,0.00055554305,0.8783674,0.00013804511,0.108194955,0.012327567,0.00020703147],"about_ca_topic_score_codex":0.00010778585,"about_ca_topic_score_gemma":0.00035666063,"teacher_disagreement_score":0.8853215,"about_ca_system_score_codex":0.000085065905,"about_ca_system_score_gemma":0.00012336925,"threshold_uncertainty_score":0.7798693},"labels":[],"label_agreement":null},{"id":"W4391301668","doi":"10.2514/6.2024-1625","title":"Recommendations on Increased Use of Modelling and Simulation for Certification / Qualification in Aerospace Industry","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Safran Electronics (Canada)","funders":"","keywords":"Aerospace; Certification; Manufacturing engineering; Aeronautics; Computer science; Engineering; Systems engineering; Aerospace engineering; Management; Economics","score_opus":0.5280238611444528,"score_gpt":0.5017787580398726,"score_spread":0.02624510310458017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391301668","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":[0.2763137,0.000013179245,0.7194654,0.0031468158,0.000033966815,0.000592933,0.00004086615,0.00007423597,0.00031890871],"genre_scores_gemma":[0.98015517,0.000012341552,0.018985955,0.00008759678,0.000019117644,0.00012995327,0.000045658737,0.0000097688835,0.0005544543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854946,0.000058577196,0.00063113624,0.0003556967,0.00032194352,0.00008320055],"domain_scores_gemma":[0.9948643,0.004312467,0.00013197339,0.00032798553,0.000323106,0.000040175597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015373861,0.000078370394,0.00011827296,0.0004331974,0.00007698112,0.00020224502,0.00010538621,0.00014414293,0.000059220903],"category_scores_gemma":[0.001016383,0.00006601683,0.000041251675,0.00080268603,0.000030417976,0.0004371758,0.000016183198,0.00011613637,0.000009055514],"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":[0.000049160204,0.00008232938,0.0025449737,0.000011198426,0.000005034299,3.095644e-8,0.0003824539,0.8228637,0.001908122,0.12009375,0.0016192794,0.05043997],"study_design_scores_gemma":[0.00014229011,0.000022666987,0.0023254373,0.00003262999,0.0000051565435,1.2087375e-7,0.00016318994,0.95514905,0.0029012456,0.02311614,0.016071558,0.000070539936],"about_ca_topic_score_codex":0.00015860974,"about_ca_topic_score_gemma":0.000026761712,"teacher_disagreement_score":0.70384145,"about_ca_system_score_codex":0.00005077104,"about_ca_system_score_gemma":0.000042803993,"threshold_uncertainty_score":0.26920882},"labels":[],"label_agreement":null},{"id":"W4391381477","doi":"10.1109/wsc60868.2023.10408161","title":"RustSim: A Process-Oriented Simulation Framework for the Rust Language","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Rust (programming language); Modular design; Process (computing); Programming language; Set (abstract data type); Discrete event simulation; Modeling language; Software engineering; Simulation; Software","score_opus":0.17296264038397224,"score_gpt":0.5318470281990291,"score_spread":0.3588843878150568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391381477","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":[0.022505337,0.000016630609,0.9707123,0.0035087604,0.00009585358,0.000777379,0.00002498215,0.00051660003,0.0018421758],"genre_scores_gemma":[0.9864124,0.000002435945,0.0069182925,0.00055521436,0.0001323133,0.00029076912,0.000016207094,0.00001149399,0.0056608682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998654,0.000022621754,0.0003245888,0.0002727991,0.000560136,0.00016582417],"domain_scores_gemma":[0.9927717,0.0062145004,0.00010950115,0.0005477793,0.00031436715,0.00004217722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010948136,0.00007711544,0.0000973855,0.00013229069,0.00034051077,0.00014374973,0.00042269696,0.000073212956,0.0006694606],"category_scores_gemma":[0.0033768893,0.000042685755,0.00008193872,0.0020515556,0.00003238786,0.00012482239,0.00005112521,0.00007746915,0.00045868682],"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":[0.0000425251,0.0000601055,0.0027581952,0.0000075960616,0.000018541274,6.712096e-7,0.0033526653,0.2886334,0.00010319085,0.49223772,0.032022484,0.18076289],"study_design_scores_gemma":[0.00010908269,0.000016030795,0.0025195696,0.0000045313705,0.0000066471257,1.8784142e-7,0.0037045935,0.6978267,0.00038243775,0.18898456,0.106365494,0.00008019473],"about_ca_topic_score_codex":0.000009009916,"about_ca_topic_score_gemma":0.0000053525146,"teacher_disagreement_score":0.96390706,"about_ca_system_score_codex":0.000011103936,"about_ca_system_score_gemma":0.000024958308,"threshold_uncertainty_score":0.73301244},"labels":[],"label_agreement":null},{"id":"W4391381527","doi":"10.1109/wsc60868.2023.10408364","title":"Efficient Input Uncertainty Quantification for Regenerative Simulation","year":2023,"lang":"en","type":"article","venue":"","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Estimator; Computer science; Queueing theory; Confidence interval; Coverage probability; Measure (data warehouse); Algorithm; Statistics; Mathematical optimization; Mathematics; Data mining","score_opus":0.2896051194840555,"score_gpt":0.4968763214465822,"score_spread":0.20727120196252674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391381527","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":[0.13601676,0.0000044314447,0.8584603,0.0021826448,0.00010945058,0.0007748935,0.00003482209,0.00041244656,0.0020042714],"genre_scores_gemma":[0.9871213,9.4036676e-7,0.004566405,0.00015341172,0.000071999115,0.00022524808,0.00007820119,0.000008944378,0.007773544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983636,0.000056956756,0.0004795098,0.00041085677,0.00053546746,0.0001535685],"domain_scores_gemma":[0.9962471,0.0023621584,0.00015436891,0.00050203135,0.00068202685,0.000052324678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017723324,0.0000830616,0.000121718855,0.00028159312,0.0002950958,0.00014077168,0.0002674523,0.00006099587,0.00016597546],"category_scores_gemma":[0.0015889308,0.000060980405,0.00009115741,0.0016149625,0.00003846583,0.000056337427,0.000041229658,0.000035739296,0.0006403405],"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":[0.0000079441215,0.000016338847,0.00009674968,7.232431e-7,0.0000018813273,3.282865e-8,0.00013467613,0.8941939,0.0013631227,0.07551285,0.009497896,0.019173872],"study_design_scores_gemma":[0.0001294937,0.00001889294,0.0015863929,0.0000016547529,0.0000027469537,7.955675e-8,0.00022378977,0.9129874,0.003206173,0.038922057,0.042842552,0.00007874603],"about_ca_topic_score_codex":0.00001146384,"about_ca_topic_score_gemma":0.000009890723,"teacher_disagreement_score":0.8538939,"about_ca_system_score_codex":0.000040326864,"about_ca_system_score_gemma":0.000033313758,"threshold_uncertainty_score":0.82304955},"labels":[],"label_agreement":null},{"id":"W4391382560","doi":"10.1109/wsc60868.2023.10407490","title":"Modeling Reactive Game Agents Using The Cell-Devs Modeling Formalism","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Formalism (music); Computer science; Cellular automaton; Automaton; Distributed computing; Modeling and simulation; Human–computer interaction; Theoretical computer science; Artificial intelligence; Simulation","score_opus":0.4622586786581562,"score_gpt":0.4908339647622898,"score_spread":0.028575286104133624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391382560","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":[0.4457997,0.0000057479583,0.5479365,0.00035713852,0.00004268699,0.0001728737,0.000003559478,0.00017373351,0.0055080336],"genre_scores_gemma":[0.993123,0.0000110093515,0.004256957,0.0003496208,0.00005960145,0.000026283338,0.0000050433932,0.000013275436,0.0021551894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981571,0.000047736692,0.00047437224,0.00031487626,0.00077349605,0.00023243706],"domain_scores_gemma":[0.99868083,0.0002932082,0.00008378826,0.0005864298,0.00029548098,0.000060242568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014143052,0.00010179173,0.00012344206,0.00018935523,0.00036998856,0.00023059773,0.00056933484,0.000061288694,0.00016053213],"category_scores_gemma":[0.00017491795,0.000060550992,0.00010453915,0.001160137,0.000021858426,0.00037174005,0.00020008525,0.00011994991,0.00029767244],"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":[0.00000229431,0.000007212197,0.000036719655,4.3586385e-7,0.0000021586222,3.5876053e-7,0.0006070857,0.9936596,0.00071816996,0.002265115,0.0006535244,0.0020472978],"study_design_scores_gemma":[0.0000736427,0.0000035504586,0.000012281986,0.000003403792,0.0000052271175,0.0000011332735,0.0024029722,0.9458084,0.0009540904,0.04953801,0.001112666,0.000084612846],"about_ca_topic_score_codex":0.00025800624,"about_ca_topic_score_gemma":0.0000071922764,"teacher_disagreement_score":0.5473233,"about_ca_system_score_codex":0.00003383484,"about_ca_system_score_gemma":0.00003616858,"threshold_uncertainty_score":0.3826076},"labels":[],"label_agreement":null},{"id":"W4391409190","doi":"10.1109/wsc60868.2023.10407941","title":"Simulating Technician Populations with Tandem Analytic and Discrete Event Models","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Technician; Computer science; Notional amount; Apprenticeship; Population; Workforce; Workforce planning; Work (physics); Industrial engineering; Simulation; Operations research; Mathematics; Engineering; Mechanical engineering","score_opus":0.24095066916942365,"score_gpt":0.4651285341943015,"score_spread":0.22417786502487785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391409190","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":[0.20360202,0.000013420325,0.77951825,0.002257842,0.000017573126,0.00043213659,0.000010574815,0.0006481994,0.013500015],"genre_scores_gemma":[0.9868856,0.000003775408,0.0093369065,0.00011382335,0.000019772864,0.00003374093,0.00001000427,0.0000117907875,0.0035846084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840975,0.000030545976,0.0004099049,0.00036612013,0.0006088552,0.00017482879],"domain_scores_gemma":[0.9988139,0.00037967332,0.00011671149,0.00045449517,0.00014665216,0.00008851519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074433396,0.00010028129,0.0001576567,0.00030930608,0.000310497,0.00016744304,0.00020986206,0.00004635168,0.000112314054],"category_scores_gemma":[0.00016716935,0.000064236,0.000045999463,0.001928532,0.000054980505,0.00028345993,0.00010450698,0.00007003947,0.000057277677],"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":[0.0000063011134,0.000023218658,0.051549993,0.0000022014626,0.0000126716595,0.0000026426108,0.0002688997,0.65345174,0.00015662468,0.25570172,0.002590096,0.036233906],"study_design_scores_gemma":[0.000086336404,0.000020246613,0.019340178,0.0000070862457,0.0000073441483,0.0000014588502,0.00031105804,0.73829734,0.000031761865,0.24086474,0.00094294245,0.0000895156],"about_ca_topic_score_codex":0.00004887526,"about_ca_topic_score_gemma":0.00010134511,"teacher_disagreement_score":0.7832836,"about_ca_system_score_codex":0.0000190617,"about_ca_system_score_gemma":0.000020266889,"threshold_uncertainty_score":0.26194683},"labels":[],"label_agreement":null},{"id":"W4391551396","doi":"10.31390/josa.4.3.03","title":"Backward Stochastic Differential Equations in a Semi-Markov Chain Model","year":2023,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Stochastic differential equation; Applied mathematics; Continuous-time Markov chain; Mathematics; Chain (unit); Balance equation; Differential equation; Statistical physics; Markov model; Mathematical analysis; Physics; Statistics","score_opus":0.09978826214638185,"score_gpt":0.4032556973569411,"score_spread":0.30346743521055924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391551396","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":[0.09045228,0.000025422074,0.9083472,0.00081850396,0.000062397725,0.00013385048,0.000028302875,0.00003362979,0.00009841363],"genre_scores_gemma":[0.99709016,0.000003860792,0.0017542279,0.000035789722,0.00012055175,0.000020046831,0.000011005201,0.000012557484,0.0009518255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99618673,0.000110444555,0.0015478423,0.0003082996,0.0015714386,0.00027524162],"domain_scores_gemma":[0.99566364,0.002220013,0.0008243302,0.00046203326,0.000649137,0.00018086587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021675953,0.00016269642,0.00064802065,0.0035346153,0.00014120966,0.00014878038,0.0006953603,0.00009621425,0.00042255482],"category_scores_gemma":[0.0027335533,0.00012523624,0.0005847693,0.007685,0.0000725429,0.00023580225,0.00011333617,0.00027746876,0.00009974759],"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":[0.00002200725,0.000049864724,0.00015767143,8.796723e-7,0.00014590433,0.000003274448,0.00029302237,0.9929308,0.0002183089,0.002308469,0.0004879385,0.0033818285],"study_design_scores_gemma":[0.00031740332,0.000032554388,0.0024850473,0.000015105485,0.00038354626,0.0000025356076,0.0004386695,0.94969404,0.000008600119,0.04649406,0.000010282473,0.000118133714],"about_ca_topic_score_codex":0.00001627449,"about_ca_topic_score_gemma":0.000037228776,"teacher_disagreement_score":0.90663785,"about_ca_system_score_codex":0.000099567376,"about_ca_system_score_gemma":0.00013856436,"threshold_uncertainty_score":0.51069856},"labels":[],"label_agreement":null},{"id":"W4391670820","doi":"10.48550/arxiv.2402.04355","title":"PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Samsung; Alliance de recherche numérique du Canada; Genentech; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Probabilistic logic; Estimation; Generative grammar; Computer science; Statistical model; Quality (philosophy); Econometrics; Statistics; Artificial intelligence; Mathematics; Engineering; Physics","score_opus":0.4992141740380304,"score_gpt":0.391946298061485,"score_spread":0.10726787597654541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391670820","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":[0.456272,0.0000110400015,0.5414208,0.0000802316,0.000092817434,0.00076824357,0.00011904562,0.000035329205,0.0012004606],"genre_scores_gemma":[0.9744962,0.000004539591,0.025139056,0.000009736524,0.000016002337,0.0000058237406,0.000008554382,0.000010758275,0.00030934083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969738,0.0006014998,0.00092844723,0.0008771578,0.00048136295,0.000137699],"domain_scores_gemma":[0.99538463,0.00071670784,0.0011412053,0.0016595382,0.001042466,0.000055467815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024942544,0.00020803922,0.00047806636,0.00019595984,0.00012225106,0.000069801834,0.0010922157,0.00021591788,0.000051429455],"category_scores_gemma":[0.00051931676,0.00015660965,0.00037230644,0.0011713795,0.0003560302,0.00015185398,0.0012116532,0.0003910379,0.0000023884322],"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":[0.000005470301,0.000056514364,0.0015609389,0.00008174953,0.000020243133,2.4493337e-7,0.000080818274,0.6678677,0.00037148132,0.32979208,0.000017135828,0.00014560524],"study_design_scores_gemma":[0.000048199665,0.0000071512036,0.0012683203,0.000045215595,0.000044465396,8.9568644e-8,0.000052742147,0.5050043,0.0003817732,0.49306944,0.0000028435854,0.00007547181],"about_ca_topic_score_codex":0.00024734114,"about_ca_topic_score_gemma":0.00003824521,"teacher_disagreement_score":0.5182242,"about_ca_system_score_codex":0.00036779966,"about_ca_system_score_gemma":0.00063791545,"threshold_uncertainty_score":0.6386356},"labels":[],"label_agreement":null},{"id":"W4392124553","doi":"10.1109/mpe.2023.3343679","title":"Techniques and Methods for Validation of Inverter-Based Resource Unit and Plant Simulation Models Across Multiple Simulation Domains: An Engineering Judgment-Based Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electrovaya (Canada)","funders":"","keywords":"Resource (disambiguation); Computer science; Unit (ring theory); Model validation; Reliability engineering; Engineering; Data science; Mathematics","score_opus":0.10057275246539488,"score_gpt":0.4152420718945012,"score_spread":0.3146693194291063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392124553","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":[0.110190526,0.00017908005,0.88896626,0.000043999535,0.000030185083,0.00023279808,0.00009291145,0.000167768,0.00009649784],"genre_scores_gemma":[0.895441,0.0000084192325,0.10418559,0.00006008173,0.000032256565,0.0000871634,0.00012035459,0.000022952825,0.000042186904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985451,0.000099263634,0.00047537137,0.00046893643,0.0002526238,0.00015867989],"domain_scores_gemma":[0.99745303,0.0018950292,0.00011122448,0.00028982552,0.00015926325,0.00009159422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013327005,0.0001716093,0.00023579478,0.00029260808,0.0001261966,0.00021822508,0.00011154496,0.00012777421,0.000004202372],"category_scores_gemma":[0.00012420042,0.00014485243,0.000048894268,0.00037645534,0.000069989284,0.00040000427,0.000030719137,0.000063868814,1.713306e-7],"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":[0.000065343556,0.000043189182,0.00011312459,0.000041007665,0.000009024718,2.6897874e-7,0.00027016396,0.929684,0.0103062,0.0016869972,0.000032923104,0.05774778],"study_design_scores_gemma":[0.00042226812,0.00011533012,0.00011307504,0.00003484673,0.000017695482,0.0000013324858,0.00005113259,0.9482297,0.029023835,0.0039810636,0.017852556,0.00015720134],"about_ca_topic_score_codex":0.000022241738,"about_ca_topic_score_gemma":0.000003446282,"teacher_disagreement_score":0.7852505,"about_ca_system_score_codex":0.000016787113,"about_ca_system_score_gemma":0.00001874522,"threshold_uncertainty_score":0.59069103},"labels":[],"label_agreement":null},{"id":"W4392206114","doi":"10.2139/ssrn.4740508","title":"Multi-Valued Verification of Commitment Systems with Uncertainty and Inconsistency in Multi-Source Data Settings","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Concordia University","funders":"","keywords":"Computer science; Data source; Data mining; Econometrics; Mathematics","score_opus":0.12791730272352578,"score_gpt":0.4056817874243067,"score_spread":0.27776448470078097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392206114","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":[0.40186536,0.01671084,0.57548124,0.002343356,0.00035891178,0.0025709374,0.00032499776,0.00015182573,0.00019254214],"genre_scores_gemma":[0.98942,0.0013240845,0.008448847,0.00002636501,0.000053899123,0.000058404396,0.00007415746,0.000029072755,0.00056518655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597174,0.00033437007,0.0012716713,0.0008318687,0.0008630134,0.000727348],"domain_scores_gemma":[0.9967695,0.00029089468,0.0010040947,0.0014434136,0.00040656526,0.000085528096],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009044187,0.00026000864,0.0005167585,0.0004929677,0.00013717654,0.00033807333,0.0014430827,0.00020873384,0.000006402128],"category_scores_gemma":[0.0004457523,0.00018658851,0.00007600214,0.0005381837,0.00013690908,0.00012956488,0.0010400665,0.0024804855,0.000008948534],"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":[0.0008002169,0.0030474393,0.07343061,0.0010899912,0.0021597336,0.000032275315,0.011135841,0.2617877,0.0025159828,0.3525122,0.0035070854,0.28798088],"study_design_scores_gemma":[0.0011546842,0.00015896875,0.002906339,0.0006252372,0.00013210018,0.00016761884,0.008451383,0.8772715,0.00003809038,0.10580552,0.002882546,0.00040603156],"about_ca_topic_score_codex":0.0010755265,"about_ca_topic_score_gemma":0.0016345871,"teacher_disagreement_score":0.61548376,"about_ca_system_score_codex":0.00066059636,"about_ca_system_score_gemma":0.0020217125,"threshold_uncertainty_score":0.9998208},"labels":[],"label_agreement":null},{"id":"W4392305382","doi":"10.5220/0012424700003639","title":"Finite Interval Processes: Simulating Military Operations","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Interval (graph theory); Computer science; Mathematics; Combinatorics","score_opus":0.1387513953530913,"score_gpt":0.45391336633848406,"score_spread":0.3151619709853928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392305382","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":[0.033220086,0.0006568659,0.9336239,0.0042410535,0.0001753232,0.0003401482,0.000028730092,0.0008019711,0.026911892],"genre_scores_gemma":[0.97440886,0.000010353259,0.013084344,0.0004738859,0.000098063,0.000050853672,0.000010325065,0.000009811461,0.011853518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985348,0.000034084445,0.00049327535,0.00037270214,0.0004470091,0.00011811199],"domain_scores_gemma":[0.99763364,0.0016205544,0.000010833213,0.00036246754,0.00031399625,0.000058501842],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00073816604,0.000084560044,0.0001035504,0.00019744295,0.00017349178,0.00035573408,0.00035074438,0.000043360815,0.0024214748],"category_scores_gemma":[0.0018824079,0.00005755731,0.00007362704,0.0013260384,0.000038747534,0.0004790333,0.00009133774,0.00009534275,0.001092417],"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":[0.0000064281908,0.00011028773,0.0011466162,0.000053666718,0.000028695273,0.000008416144,0.00296622,0.56272984,0.0006639958,0.09343141,0.05051522,0.2883392],"study_design_scores_gemma":[0.000029714058,0.000017316153,0.0001083955,0.000023670098,0.0000037591842,0.0000016272096,0.00039289935,0.8712909,0.00045378573,0.026584094,0.101010606,0.00008322677],"about_ca_topic_score_codex":0.00006767238,"about_ca_topic_score_gemma":0.00014605244,"teacher_disagreement_score":0.94118875,"about_ca_system_score_codex":0.000018132558,"about_ca_system_score_gemma":0.00009906352,"threshold_uncertainty_score":0.99968535},"labels":[],"label_agreement":null},{"id":"W4392503511","doi":"","title":"From MT homogeneous systems to heterogeneous CAT systems","year":2009,"lang":"fr","type":"preprint","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Homogeneous; Computer science; Physics; Statistical physics","score_opus":0.05533452370087005,"score_gpt":0.3454448796105173,"score_spread":0.29011035590964723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392503511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012511923,0.00062092347,0.91277486,0.0039983992,0.0056359586,0.03186279,0.0032128347,0.001424878,0.027957423],"genre_scores_gemma":[0.74729836,0.0008832164,0.19067402,0.0050155134,0.0013809933,0.024863588,0.0035446417,0.000203896,0.026135787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9859172,0.0014105195,0.0049826126,0.0023099617,0.003837401,0.0015422803],"domain_scores_gemma":[0.9865337,0.0009036852,0.0024909521,0.005007903,0.0036403718,0.0014233725],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.013063979,0.0014156958,0.001773418,0.0022091283,0.0014580303,0.011529801,0.0057811798,0.0018400415,0.00058934494],"category_scores_gemma":[0.0019266806,0.001405365,0.0007360322,0.0032232492,0.00046474556,0.0038226892,0.0021023923,0.0013047884,0.0055121956],"study_design_candidate":"not_applicable","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":[0.000100027675,0.00034611012,0.00010941312,0.00041089518,0.00012122834,0.00007781813,0.0048122397,0.6443574,0.006941308,0.078187086,0.09984527,0.16469121],"study_design_scores_gemma":[0.0003739263,0.00010703793,0.00012467412,0.0021758287,0.00009457633,0.0002210156,0.00050070323,0.1272739,0.015237516,0.009526621,0.84280103,0.001563156],"about_ca_topic_score_codex":0.009161085,"about_ca_topic_score_gemma":0.0003206548,"teacher_disagreement_score":0.7429558,"about_ca_system_score_codex":0.00231635,"about_ca_system_score_gemma":0.0024538727,"threshold_uncertainty_score":0.99985933},"labels":[],"label_agreement":null},{"id":"W4392779373","doi":"10.3389/978-2-8325-4606-2","title":"Mathematical modeling and optimization for real life phenomena","year":2024,"lang":"en","type":"book","venue":"Frontiers research topics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fogarty International Center; National Research, Development and Innovation Office; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; China Scholarship Council; Electronics and Telecommunications Research Institute; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; National Institutes of Health; Consejo Nacional de Ciencia y Tecnología; National Natural Science Foundation of China; National Research Foundation","keywords":"Computer science","score_opus":0.32244638072736026,"score_gpt":0.49428740008506866,"score_spread":0.1718410193577084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392779373","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000037932514,0.0007306474,0.76993334,0.004432359,0.00010886533,0.00092736905,0.000075080614,0.000077268356,0.22371128],"genre_scores_gemma":[0.00002603959,0.00034243998,0.09981689,0.000035585694,0.0007708052,0.0002070689,0.00007006009,0.00004006274,0.89869106],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99703604,0.00008044836,0.00059907936,0.00062658434,0.0013548967,0.0003029298],"domain_scores_gemma":[0.9980752,0.00025870328,0.000078998884,0.0005973707,0.00078289624,0.00020686816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029484024,0.00015744491,0.00035294206,0.00057882455,0.00027437165,0.0006060657,0.0005393276,0.0003117025,0.00036136046],"category_scores_gemma":[0.0015369358,0.00012748915,0.00011410679,0.00028499778,0.00015813699,0.00011892922,0.0002693264,0.000451972,0.00011461925],"study_design_candidate":"not_applicable","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":[0.00001358248,0.000011662367,8.789017e-7,0.000068775415,0.000021456863,6.22503e-7,0.00014757717,0.011224751,2.3531659e-7,0.12595642,0.83571845,0.026835583],"study_design_scores_gemma":[0.000034677574,0.000021267437,9.1376606e-8,0.000019170866,0.000006363796,1.4281125e-7,0.000054637516,0.39915287,3.385073e-7,0.295333,0.30532378,0.00005363141],"about_ca_topic_score_codex":0.0000029402063,"about_ca_topic_score_gemma":8.178116e-7,"teacher_disagreement_score":0.67497975,"about_ca_system_score_codex":0.00018111689,"about_ca_system_score_gemma":0.00045366606,"threshold_uncertainty_score":0.5844305},"labels":[],"label_agreement":null},{"id":"W4393064076","doi":"10.48550/arxiv.2403.13049","title":"Higher Operations in Perturbation Theory","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Colleges and Universities; Innovation, Science and Economic Development Canada; Institut Périmètre de physique théorique; Krembil Foundation; Government of Canada; UK Research and Innovation","keywords":"Computer science; Mathematics; Mathematical economics","score_opus":0.23440722794289418,"score_gpt":0.3032046258468767,"score_spread":0.06879739790398251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393064076","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":[0.61678636,0.0003003912,0.2474166,0.0023334776,0.0011922673,0.0012513899,0.00014627825,0.0006428792,0.12993035],"genre_scores_gemma":[0.90350115,0.000037181682,0.0002960742,0.00014152877,0.00007918891,0.00000617308,0.00002683438,0.000015342002,0.09589651],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813306,0.00021822387,0.00037319638,0.0009361522,0.00017977222,0.00015960349],"domain_scores_gemma":[0.9981132,0.000507342,0.000093803836,0.00097575906,0.0002345619,0.00007532745],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010519761,0.00018282444,0.00022692997,0.00063484954,0.00011177142,0.0002671651,0.00084776536,0.00027214282,0.001261013],"category_scores_gemma":[0.00020448645,0.00016944724,0.00017175103,0.0012960588,0.000087113534,0.000155371,0.0008869904,0.0005262174,0.0008984972],"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":[0.000007634819,0.000032478038,0.00043283758,0.0000045135894,0.000008377984,0.000012715295,0.000121576406,0.2206714,0.000013446452,0.7764795,0.0012428253,0.0009726946],"study_design_scores_gemma":[0.00008734104,0.0000068546783,0.0014601743,0.000027530832,0.00002035062,3.5299e-7,0.00012215503,0.2154385,0.000031796513,0.7775315,0.005118588,0.00015487564],"about_ca_topic_score_codex":0.000066778965,"about_ca_topic_score_gemma":0.000078016725,"teacher_disagreement_score":0.2867148,"about_ca_system_score_codex":0.00018398381,"about_ca_system_score_gemma":0.00014256929,"threshold_uncertainty_score":0.9998794},"labels":[],"label_agreement":null},{"id":"W4393216209","doi":"10.2139/ssrn.4775444","title":"Multimodel Implementation of the Raven Hbv-Ec Model for Streamflow Simulation and Uncertainty Quantification","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Ouranos; Université Laval","funders":"","keywords":"Streamflow; Environmental science; Hydrology (agriculture); Geography; Engineering; Cartography; Geotechnical engineering","score_opus":0.12360754359808686,"score_gpt":0.46976901750666583,"score_spread":0.346161473908579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393216209","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":[0.1864514,0.0004697419,0.809887,0.0016865912,0.00014977677,0.0011025999,0.00018634916,0.000032764314,0.00003379902],"genre_scores_gemma":[0.99595404,0.0002868786,0.0026645202,0.000031883403,0.00011561797,0.000104632134,0.000044829296,0.000026746668,0.00077082985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99692196,0.00012468122,0.0010685077,0.00051259826,0.00076225,0.0006100344],"domain_scores_gemma":[0.99711245,0.0005180941,0.0009510555,0.0006055612,0.00076333334,0.00004947539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00452723,0.0002088438,0.00028671694,0.00025811172,0.00029515277,0.0002626532,0.0006671801,0.00019364008,0.000013244864],"category_scores_gemma":[0.0002866165,0.00014115048,0.0003025709,0.00030119886,0.00006991497,0.0001136048,0.00032387127,0.0011519217,0.0000030469835],"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":[0.00001959893,0.000018686753,0.0001905133,0.000012863941,0.000049106868,1.1545737e-8,0.00037608334,0.82978827,0.00017731133,0.089108974,0.00009953366,0.08015905],"study_design_scores_gemma":[0.00014812862,0.00001878186,0.00016640854,0.000015559222,0.00005363089,0.0000017635926,0.0006179678,0.5130326,0.000107986954,0.48567137,0.00009288064,0.00007291576],"about_ca_topic_score_codex":0.0001548297,"about_ca_topic_score_gemma":0.0009278478,"teacher_disagreement_score":0.80950266,"about_ca_system_score_codex":0.0004933222,"about_ca_system_score_gemma":0.0021993292,"threshold_uncertainty_score":0.57559496},"labels":[],"label_agreement":null},{"id":"W4393372247","doi":"10.1109/access.2024.3383436","title":"Traffic Divergence Theory: An Analysis Formalism for Dynamic Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Simulation Techniques and Applications","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":"University of Alberta","funders":"","keywords":"Formalism (music); Computer science; Divergence (linguistics); Statistical physics; Physics","score_opus":0.11649607181949313,"score_gpt":0.4901569308726593,"score_spread":0.3736608590531662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393372247","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":[0.21327478,0.00013590444,0.78536755,0.0002022496,0.0002887282,0.00025738776,0.000047582533,0.00022043285,0.00020536665],"genre_scores_gemma":[0.997736,0.000024117046,0.000841051,0.00018060349,0.00010412901,0.00015003161,0.000033509197,0.0000115340235,0.0009190668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985194,0.00006267588,0.00038045205,0.000466045,0.0003797679,0.00019166544],"domain_scores_gemma":[0.9981071,0.00096718065,0.00008110853,0.00058473233,0.00017654039,0.00008337771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015320082,0.0001035488,0.00018062297,0.00038957593,0.00021702274,0.0010081973,0.0011982634,0.00007484813,0.00045676745],"category_scores_gemma":[0.00008231901,0.00007536352,0.00023132852,0.0024638555,0.000048297825,0.00095796166,0.000059987506,0.00007698864,0.000031882548],"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":[0.000019160843,0.00004058345,0.001187126,0.0000044605813,0.000100203164,0.0000015172658,0.0002579642,0.6403895,0.000032121065,0.03568678,0.0042806524,0.31799993],"study_design_scores_gemma":[0.00003898984,0.000016907883,0.0029522418,0.0000033992137,0.0001128955,5.2460905e-7,0.000056747896,0.9155942,0.00007721695,0.073066145,0.007975339,0.00010534748],"about_ca_topic_score_codex":0.000013344384,"about_ca_topic_score_gemma":0.00009016672,"teacher_disagreement_score":0.7845265,"about_ca_system_score_codex":0.000026166761,"about_ca_system_score_gemma":0.000024235174,"threshold_uncertainty_score":0.972207},"labels":[],"label_agreement":null},{"id":"W4393455508","doi":"10.5281/zenodo.3949422","title":"AirSim building99 competition dataset","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Competition (biology); Computer science; Biology; Ecology","score_opus":0.1532475182339678,"score_gpt":0.3777083513654459,"score_spread":0.2244608331314781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393455508","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009494373,0.000022447373,0.0074285185,0.0018176868,0.0001174026,0.00059491844,0.9836727,0.00061375875,0.0057230904],"genre_scores_gemma":[0.0008245971,0.00010633994,0.00035575486,0.0008024959,0.00033849842,1.4235214e-7,0.9967495,0.0006152758,0.00020736973],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99579436,0.0005501589,0.00076333276,0.0010283446,0.0015109325,0.00035290464],"domain_scores_gemma":[0.99632126,0.00020018556,0.0004667045,0.0017426757,0.00095179665,0.000317386],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016892472,0.00027020116,0.00035574066,0.0005412894,0.0025566947,0.0025548644,0.004190617,0.00020404368,0.05344943],"category_scores_gemma":[0.0033464816,0.00026132687,0.000117825926,0.0015158522,0.00022633374,0.00033303787,0.0028341983,0.0006132476,0.09989398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019136434,0.00008336163,1.0156249e-7,0.000020564408,0.000016869157,0.000007537294,0.0000348855,0.000035758716,0.00006584754,0.0017776183,0.9822972,0.015641164],"study_design_scores_gemma":[0.00021830165,0.00012534863,0.000021354868,0.000024858975,0.000024835756,0.000039293518,0.000080158105,0.00022260356,0.0000434849,0.0017513683,0.9971748,0.00027361684],"about_ca_topic_score_codex":0.000029968782,"about_ca_topic_score_gemma":7.315231e-7,"teacher_disagreement_score":0.046444546,"about_ca_system_score_codex":0.00013712878,"about_ca_system_score_gemma":0.000008842657,"threshold_uncertainty_score":0.9999839},"labels":[],"label_agreement":null},{"id":"W4393526677","doi":"10.5281/zenodo.7960892","title":"Artifacts for the paper \"Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search\"","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Metaheuristic; Computer science; Artificial intelligence","score_opus":0.314199480194272,"score_gpt":0.38844533255934854,"score_spread":0.07424585236507653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393526677","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003949997,0.0001956595,0.026000362,0.0012184129,0.00017423666,0.002302175,0.9680074,0.00027358168,0.0014332053],"genre_scores_gemma":[0.028164051,0.00030264142,0.0007724474,0.00015759833,0.00023861554,0.000001699238,0.969174,0.00074250606,0.00044642814],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959806,0.00047493775,0.0010063574,0.0007146614,0.0014815868,0.00034181372],"domain_scores_gemma":[0.9945748,0.0011136248,0.00067921344,0.0017232202,0.0017663254,0.00014281781],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003783989,0.00022789589,0.00034070446,0.0005674615,0.0038258894,0.0010490085,0.003084675,0.00012711273,0.18390352],"category_scores_gemma":[0.004305814,0.0001869194,0.00020609058,0.0016393113,0.00034613768,0.00025838683,0.0009994082,0.0004616631,0.0011419838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042747066,0.0001026867,1.2005852e-7,0.000031522795,0.00004298044,7.1709434e-7,0.00010540771,0.008537057,0.0005058722,0.0007101871,0.9533754,0.036545295],"study_design_scores_gemma":[0.00020835285,0.00008676433,0.00012641303,0.000014635246,0.000080632446,0.000016192515,0.00031439294,0.0064318106,0.00011007304,0.00044936736,0.99197483,0.00018651156],"about_ca_topic_score_codex":0.000057461184,"about_ca_topic_score_gemma":0.0000017174158,"teacher_disagreement_score":0.18276154,"about_ca_system_score_codex":0.00018824123,"about_ca_system_score_gemma":0.00003664424,"threshold_uncertainty_score":0.999988},"labels":[],"label_agreement":null},{"id":"W4393566226","doi":"10.5281/zenodo.6954160","title":"Database of Accreting Binary Simulations","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Database; Binary number; Computer science; Mathematics; Arithmetic","score_opus":0.15429936666014238,"score_gpt":0.38854306658193916,"score_spread":0.23424369992179678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393566226","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027331643,0.000057371657,0.0018932418,0.00032755613,0.00009793288,0.0006149632,0.9912925,0.00032731472,0.0051158112],"genre_scores_gemma":[0.0063978657,0.000078311044,0.0003079777,0.000105499406,0.00009877546,1.5908289e-7,0.99199194,0.0005481024,0.0004713704],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99569356,0.0007475714,0.0009079788,0.00074808474,0.0016124361,0.00029036507],"domain_scores_gemma":[0.99547005,0.0005068112,0.00068966625,0.0019808875,0.0011965061,0.00015608822],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002579496,0.0002043358,0.00032091475,0.0009492112,0.0030776223,0.00072474964,0.003675987,0.00011851038,0.450274],"category_scores_gemma":[0.0054015154,0.00020582425,0.0001308285,0.00215922,0.00020336293,0.00029835964,0.0044564125,0.00055143895,0.0027387855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018713656,0.00013559045,5.8641365e-7,0.00002724445,0.000016835365,0.0000036075708,0.00006895505,0.0010534744,0.00038005778,0.00058006484,0.9874092,0.010305671],"study_design_scores_gemma":[0.00017971017,0.00011371043,0.00003231744,0.000021593169,0.000025048666,0.000016605332,0.00019488977,0.0010610099,0.0000606318,0.0006526808,0.997446,0.00019581855],"about_ca_topic_score_codex":0.00005122703,"about_ca_topic_score_gemma":6.049709e-7,"teacher_disagreement_score":0.44753522,"about_ca_system_score_codex":0.00012677723,"about_ca_system_score_gemma":0.000013460829,"threshold_uncertainty_score":0.99822026},"labels":[],"label_agreement":null},{"id":"W4393571043","doi":"10.5281/zenodo.7242864","title":"BLASTNet Simulation Dataset","year":2024,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","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":"Polytechnique Montréal","funders":"","keywords":"Computer science","score_opus":0.050427292789065506,"score_gpt":0.3678626369724298,"score_spread":0.31743534418336433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393571043","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000049159626,0.0006276627,0.12177909,0.0022655323,0.00035587163,0.0012891784,0.8726652,0.0008168029,0.00015145463],"genre_scores_gemma":[0.0025895636,0.00025571763,0.008041862,0.0031909486,0.0006568263,0.0009259854,0.98251647,0.00010972473,0.0017129021],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925831,0.0003491153,0.0019973856,0.0017807209,0.0023955598,0.000894101],"domain_scores_gemma":[0.99131787,0.0019009791,0.0008809854,0.0049318383,0.0004483378,0.00052001997],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0033079106,0.0008363645,0.0009486977,0.0020575058,0.00042618677,0.0018214927,0.0032498275,0.0011797098,0.001965941],"category_scores_gemma":[0.002190163,0.0007261472,0.00046989453,0.0025842853,0.00020130449,0.0005694494,0.0011985042,0.0014224208,0.009884555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026493972,0.00013827176,0.000068570684,0.000032010088,0.00004169058,0.00004287654,0.000014960206,0.022350205,0.000029766032,0.0008678606,0.9686915,0.007695792],"study_design_scores_gemma":[0.00014048582,0.00007291443,0.00021099372,0.00006642331,0.0001079993,0.00003208416,0.000025929863,0.14828125,0.000092021735,0.017258286,0.83309317,0.0006184362],"about_ca_topic_score_codex":0.003919905,"about_ca_topic_score_gemma":0.002824409,"teacher_disagreement_score":0.13559833,"about_ca_system_score_codex":0.00053080026,"about_ca_system_score_gemma":0.00048191723,"threshold_uncertainty_score":0.99951893},"labels":[],"label_agreement":null},{"id":"W4393689076","doi":"10.5281/zenodo.6993691","title":"Artifacts for the paper \"Concretization of Abstract Traffic Scene Specifications Using Multi-objective Optimization\"","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.2655625076595865,"score_gpt":0.38233986971531425,"score_spread":0.11677736205572775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393689076","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009330343,0.00012035473,0.19282782,0.0007041819,0.00017688215,0.0024192058,0.8025931,0.0002732419,0.0007918774],"genre_scores_gemma":[0.008669285,0.00027759516,0.004858815,0.00017128872,0.00020270153,0.000002905613,0.9846943,0.0007625417,0.00036057198],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964096,0.00039046947,0.0010088352,0.00075340644,0.0011314522,0.00030623545],"domain_scores_gemma":[0.9943531,0.00081089337,0.00096236554,0.0014924287,0.002259364,0.000121841396],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002469356,0.00024574785,0.00032714463,0.0005705956,0.0041013225,0.0009540434,0.0025666016,0.00015590328,0.1438775],"category_scores_gemma":[0.00432673,0.0002086117,0.00019251094,0.001728534,0.00031124701,0.0003444398,0.0008401437,0.00040108582,0.0005024085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004286694,0.00014627504,2.0301688e-7,0.000019202915,0.00004028737,3.9612678e-7,0.00016237303,0.15256327,0.000189018,0.00023598288,0.8308205,0.015779637],"study_design_scores_gemma":[0.00032873193,0.000075936514,0.00011447694,0.000015515283,0.000062843304,0.000012058813,0.00048730065,0.04997034,0.00007232684,0.00012519938,0.94853026,0.0002050173],"about_ca_topic_score_codex":0.000051901363,"about_ca_topic_score_gemma":0.0000024221931,"teacher_disagreement_score":0.187969,"about_ca_system_score_codex":0.00024342984,"about_ca_system_score_gemma":0.000038034206,"threshold_uncertainty_score":0.9971952},"labels":[],"label_agreement":null},{"id":"W4393709790","doi":"10.5281/zenodo.7709676","title":"BLASTNet Simulation Dataset","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","score_opus":0.2083259230298976,"score_gpt":0.4170791792551411,"score_spread":0.2087532562252435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393709790","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018505478,0.000015840349,0.005716169,0.0005067694,0.0001752034,0.0006848993,0.98907346,0.0009959077,0.0028132799],"genre_scores_gemma":[0.0006634551,0.00006534689,0.00011561714,0.0002372305,0.00031671335,1.7879596e-7,0.9965457,0.0009381609,0.0011175984],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953675,0.00056767865,0.0008615243,0.0010464871,0.0017325694,0.00042421254],"domain_scores_gemma":[0.9952548,0.0005339107,0.0004896729,0.0022850377,0.0011917459,0.00024479197],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029180534,0.00027898312,0.00033809157,0.0009452766,0.0026517913,0.0026529897,0.003939296,0.0002584098,0.024733199],"category_scores_gemma":[0.0058587063,0.0002661712,0.000115479146,0.0021678773,0.00019798722,0.00035406777,0.0028252515,0.000526907,0.23451942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000160357,0.00006832909,1.04756424e-7,0.000015223169,0.000018330213,0.00000587116,0.000028193612,0.0022533226,0.00001516307,0.00019466523,0.9720573,0.025327483],"study_design_scores_gemma":[0.00019972476,0.00008905029,0.00005825527,0.000021349348,0.00002318531,0.000014271544,0.00006440694,0.0034862908,0.000008773972,0.0015871064,0.9941722,0.00027537456],"about_ca_topic_score_codex":0.00006834337,"about_ca_topic_score_gemma":0.000002187227,"teacher_disagreement_score":0.20978622,"about_ca_system_score_codex":0.00014197567,"about_ca_system_score_gemma":0.000008280958,"threshold_uncertainty_score":0.9999791},"labels":[],"label_agreement":null},{"id":"W4393713768","doi":"10.5281/zenodo.6345283","title":"Artifacts for the paper \"Concretization of Abstract Traffic Scene Specifications Using Multi-objective Optimization\"","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer graphics (images)","score_opus":0.2655625076595865,"score_gpt":0.38233986971531425,"score_spread":0.11677736205572775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393713768","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009330343,0.00012035473,0.19282782,0.0007041819,0.00017688215,0.0024192058,0.8025931,0.0002732419,0.0007918774],"genre_scores_gemma":[0.008669285,0.00027759516,0.004858815,0.00017128872,0.00020270153,0.000002905613,0.9846943,0.0007625417,0.00036057198],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964096,0.00039046947,0.0010088352,0.00075340644,0.0011314522,0.00030623545],"domain_scores_gemma":[0.9943531,0.00081089337,0.00096236554,0.0014924287,0.002259364,0.000121841396],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002469356,0.00024574785,0.00032714463,0.0005705956,0.0041013225,0.0009540434,0.0025666016,0.00015590328,0.1438775],"category_scores_gemma":[0.00432673,0.0002086117,0.00019251094,0.001728534,0.00031124701,0.0003444398,0.0008401437,0.00040108582,0.0005024085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004286694,0.00014627504,2.0301688e-7,0.000019202915,0.00004028737,3.9612678e-7,0.00016237303,0.15256327,0.000189018,0.00023598288,0.8308205,0.015779637],"study_design_scores_gemma":[0.00032873193,0.000075936514,0.00011447694,0.000015515283,0.000062843304,0.000012058813,0.00048730065,0.04997034,0.00007232684,0.00012519938,0.94853026,0.0002050173],"about_ca_topic_score_codex":0.000051901363,"about_ca_topic_score_gemma":0.0000024221931,"teacher_disagreement_score":0.187969,"about_ca_system_score_codex":0.00024342984,"about_ca_system_score_gemma":0.000038034206,"threshold_uncertainty_score":0.9971952},"labels":[],"label_agreement":null},{"id":"W4393760429","doi":"10.5281/zenodo.1233642","title":"Ruthwell Cross - 3D Model Ambient (15M)","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science","score_opus":0.15439482081042025,"score_gpt":0.39643338388257054,"score_spread":0.2420385630721503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393760429","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021192053,0.000027054652,0.016285814,0.00030597506,0.00016847493,0.0007121092,0.9627692,0.000720558,0.018798886],"genre_scores_gemma":[0.001987811,0.000091218724,0.0009345006,0.00039741377,0.0003823769,2.412935e-7,0.99069744,0.0009900655,0.0045189084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99518424,0.0003924402,0.0009033418,0.0011742478,0.0018362913,0.00050943356],"domain_scores_gemma":[0.99420047,0.00013073163,0.0005137827,0.0024300185,0.002412648,0.00031235287],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027970362,0.000313878,0.0003546387,0.00065122393,0.0034751554,0.0038473208,0.004782898,0.00029555315,0.049962893],"category_scores_gemma":[0.00264517,0.0002886983,0.00016046333,0.0013353649,0.0004925898,0.00035203164,0.0032136315,0.0005272695,0.058249336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002424053,0.00012479478,2.8285476e-7,0.000014264257,0.000014799558,0.0000029365326,0.00007737187,0.00058811886,0.00006056162,0.00046875383,0.98917395,0.009449917],"study_design_scores_gemma":[0.0002347684,0.00012148851,0.000024238096,0.000021578962,0.000017696522,0.00002510497,0.000028198081,0.008040184,0.00009033576,0.003015038,0.98806965,0.00031170924],"about_ca_topic_score_codex":0.000036229947,"about_ca_topic_score_gemma":9.977284e-7,"teacher_disagreement_score":0.027928257,"about_ca_system_score_codex":0.00019441769,"about_ca_system_score_gemma":0.000014546002,"threshold_uncertainty_score":0.9999565},"labels":[],"label_agreement":null},{"id":"W4393771248","doi":"10.5281/zenodo.6345282","title":"Artifacts for the paper \"Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search\"","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Metaheuristic; Computer science; Computer graphics (images); Artificial intelligence","score_opus":0.29982544885751655,"score_gpt":0.3953874313205718,"score_spread":0.09556198246305525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393771248","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030284867,0.00035052368,0.02675586,0.0016133715,0.00022111672,0.0020752607,0.96649325,0.00036729465,0.0018205013],"genre_scores_gemma":[0.049638547,0.00043846385,0.0011574605,0.00014949059,0.00049498427,0.0000012863569,0.94646686,0.001022708,0.00063022284],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963915,0.0002899115,0.001004529,0.0007498595,0.0012294956,0.00033471535],"domain_scores_gemma":[0.9948822,0.0009404049,0.00046142304,0.0015806027,0.0019875958,0.0001477558],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032178161,0.0002420661,0.00033611988,0.0006086148,0.0020669794,0.0016798713,0.0025322633,0.00017399975,0.019486075],"category_scores_gemma":[0.0037167633,0.00018457253,0.00021793327,0.001645436,0.00037877608,0.0002557453,0.0007358003,0.0004425181,0.010105579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028196542,0.000066548215,6.467414e-8,0.00006542011,0.000052678868,9.400982e-7,0.0000998621,0.003267364,0.00061770127,0.00087843026,0.956339,0.038583767],"study_design_scores_gemma":[0.00014215386,0.00006388677,0.00007084857,0.00005184131,0.00011927476,0.000017030474,0.00020499727,0.0119374115,0.00018398403,0.0010114416,0.98601365,0.00018345461],"about_ca_topic_score_codex":0.000034595698,"about_ca_topic_score_gemma":0.0000020489367,"teacher_disagreement_score":0.0493357,"about_ca_system_score_codex":0.00014282088,"about_ca_system_score_gemma":0.00003530621,"threshold_uncertainty_score":0.9993565},"labels":[],"label_agreement":null},{"id":"W4393859933","doi":"10.25071/d4bd5440","title":"Dynamic deployment models for high-performance Emergency Medical Services","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Management","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Computer science; Emergency medical services; Medical emergency; Medicine; Software engineering","score_opus":0.08513115869252177,"score_gpt":0.3840992298495647,"score_spread":0.29896807115704294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393859933","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":[0.7778754,0.000812658,0.18866897,0.013955569,0.0069180555,0.001522257,0.00011541883,0.00013969456,0.009991959],"genre_scores_gemma":[0.98967737,0.0015058451,0.0017280976,0.00014853074,0.0001152209,0.00007807886,0.000014948296,0.00002396468,0.006707925],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99669814,0.000040871808,0.0013497354,0.00029327927,0.0011960684,0.00042187452],"domain_scores_gemma":[0.99792045,0.00005893145,0.00041407687,0.00046541402,0.00052981003,0.00061130704],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002278229,0.00015433716,0.00024117185,0.0009404337,0.00032850643,0.00004859682,0.001380457,0.0000745991,0.0040124236],"category_scores_gemma":[0.0000866716,0.00012776956,0.00017238327,0.0014436246,0.00002398062,0.00037011312,0.00007135415,0.000114335504,0.0001687555],"study_design_candidate":"not_applicable","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":[0.000038330923,0.000100575955,0.011194933,0.000215773,0.00032519287,0.00008157974,0.0009509789,0.11956672,0.000033606768,0.101440035,0.5066602,0.25939202],"study_design_scores_gemma":[0.00057675235,0.00018248321,0.03054167,0.0000905177,0.00008462244,0.0000061891515,0.0010564178,0.43562934,0.00004817477,0.28085145,0.25054234,0.0003900485],"about_ca_topic_score_codex":0.0005152523,"about_ca_topic_score_gemma":0.0067249453,"teacher_disagreement_score":0.3160626,"about_ca_system_score_codex":0.000107938446,"about_ca_system_score_gemma":0.00018114017,"threshold_uncertainty_score":0.99689806},"labels":[],"label_agreement":null},{"id":"W4393881149","doi":"10.5281/zenodo.6954159","title":"Database of Accreting Binary Simulations","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Binary number; Database; Computer science; Mathematics; Arithmetic","score_opus":0.15429936666014238,"score_gpt":0.38854306658193916,"score_spread":0.23424369992179678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393881149","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027331643,0.000057371657,0.0018932418,0.00032755613,0.00009793288,0.0006149632,0.9912925,0.00032731472,0.0051158112],"genre_scores_gemma":[0.0063978657,0.000078311044,0.0003079777,0.000105499406,0.00009877546,1.5908289e-7,0.99199194,0.0005481024,0.0004713704],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99569356,0.0007475714,0.0009079788,0.00074808474,0.0016124361,0.00029036507],"domain_scores_gemma":[0.99547005,0.0005068112,0.00068966625,0.0019808875,0.0011965061,0.00015608822],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002579496,0.0002043358,0.00032091475,0.0009492112,0.0030776223,0.00072474964,0.003675987,0.00011851038,0.450274],"category_scores_gemma":[0.0054015154,0.00020582425,0.0001308285,0.00215922,0.00020336293,0.00029835964,0.0044564125,0.00055143895,0.0027387855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018713656,0.00013559045,5.8641365e-7,0.00002724445,0.000016835365,0.0000036075708,0.00006895505,0.0010534744,0.00038005778,0.00058006484,0.9874092,0.010305671],"study_design_scores_gemma":[0.00017971017,0.00011371043,0.00003231744,0.000021593169,0.000025048666,0.000016605332,0.00019488977,0.0010610099,0.0000606318,0.0006526808,0.997446,0.00019581855],"about_ca_topic_score_codex":0.00005122703,"about_ca_topic_score_gemma":6.049709e-7,"teacher_disagreement_score":0.44753522,"about_ca_system_score_codex":0.00012677723,"about_ca_system_score_gemma":0.000013460829,"threshold_uncertainty_score":0.99822026},"labels":[],"label_agreement":null},{"id":"W4394020089","doi":"10.5281/zenodo.3949423","title":"AirSim building99 competition dataset","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Competition (biology); Computer science; Business; Biology; Ecology","score_opus":0.1532475182339678,"score_gpt":0.3777083513654459,"score_spread":0.2244608331314781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394020089","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009494373,0.000022447373,0.0074285185,0.0018176868,0.0001174026,0.00059491844,0.9836727,0.00061375875,0.0057230904],"genre_scores_gemma":[0.0008245971,0.00010633994,0.00035575486,0.0008024959,0.00033849842,1.4235214e-7,0.9967495,0.0006152758,0.00020736973],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99579436,0.0005501589,0.00076333276,0.0010283446,0.0015109325,0.00035290464],"domain_scores_gemma":[0.99632126,0.00020018556,0.0004667045,0.0017426757,0.00095179665,0.000317386],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016892472,0.00027020116,0.00035574066,0.0005412894,0.0025566947,0.0025548644,0.004190617,0.00020404368,0.05344943],"category_scores_gemma":[0.0033464816,0.00026132687,0.000117825926,0.0015158522,0.00022633374,0.00033303787,0.0028341983,0.0006132476,0.09989398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019136434,0.00008336163,1.0156249e-7,0.000020564408,0.000016869157,0.000007537294,0.0000348855,0.000035758716,0.00006584754,0.0017776183,0.9822972,0.015641164],"study_design_scores_gemma":[0.00021830165,0.00012534863,0.000021354868,0.000024858975,0.000024835756,0.000039293518,0.000080158105,0.00022260356,0.0000434849,0.0017513683,0.9971748,0.00027361684],"about_ca_topic_score_codex":0.000029968782,"about_ca_topic_score_gemma":7.315231e-7,"teacher_disagreement_score":0.046444546,"about_ca_system_score_codex":0.00013712878,"about_ca_system_score_gemma":0.000008842657,"threshold_uncertainty_score":0.9999839},"labels":[],"label_agreement":null},{"id":"W4394028538","doi":"10.5281/zenodo.1490879","title":"Ruthwell Cross - 3D Model Ambient (15M)","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science","score_opus":0.15439482081042025,"score_gpt":0.39643338388257054,"score_spread":0.2420385630721503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394028538","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021192053,0.000027054652,0.016285814,0.00030597506,0.00016847493,0.0007121092,0.9627692,0.000720558,0.018798886],"genre_scores_gemma":[0.001987811,0.000091218724,0.0009345006,0.00039741377,0.0003823769,2.412935e-7,0.99069744,0.0009900655,0.0045189084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99518424,0.0003924402,0.0009033418,0.0011742478,0.0018362913,0.00050943356],"domain_scores_gemma":[0.99420047,0.00013073163,0.0005137827,0.0024300185,0.002412648,0.00031235287],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027970362,0.000313878,0.0003546387,0.00065122393,0.0034751554,0.0038473208,0.004782898,0.00029555315,0.049962893],"category_scores_gemma":[0.00264517,0.0002886983,0.00016046333,0.0013353649,0.0004925898,0.00035203164,0.0032136315,0.0005272695,0.058249336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002424053,0.00012479478,2.8285476e-7,0.000014264257,0.000014799558,0.0000029365326,0.00007737187,0.00058811886,0.00006056162,0.00046875383,0.98917395,0.009449917],"study_design_scores_gemma":[0.0002347684,0.00012148851,0.000024238096,0.000021578962,0.000017696522,0.00002510497,0.000028198081,0.008040184,0.00009033576,0.003015038,0.98806965,0.00031170924],"about_ca_topic_score_codex":0.000036229947,"about_ca_topic_score_gemma":9.977284e-7,"teacher_disagreement_score":0.027928257,"about_ca_system_score_codex":0.00019441769,"about_ca_system_score_gemma":0.000014546002,"threshold_uncertainty_score":0.9999565},"labels":[],"label_agreement":null},{"id":"W4394052273","doi":"10.5281/zenodo.3478487","title":"AutoMate Dataset - Simulator 1","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"L'Alliance Boviteq","funders":"European Commission","keywords":"Computer science; Simulation; Computer graphics (images)","score_opus":0.17349154239846304,"score_gpt":0.40208146013980056,"score_spread":0.22858991774133752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394052273","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004102802,0.00003388928,0.0018566196,0.00045519,0.00018713594,0.0008180521,0.99097174,0.0006301482,0.005006215],"genre_scores_gemma":[0.0009572606,0.00005985774,0.0001396889,0.00044625174,0.0002090661,1.0743887e-7,0.9960097,0.00081945676,0.001358574],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99542594,0.0005342079,0.00083387847,0.0010971894,0.0016597395,0.00044906285],"domain_scores_gemma":[0.9947856,0.0002902958,0.00051896897,0.0030908037,0.0010538695,0.0002604565],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024822461,0.0003025977,0.00040809365,0.00071568333,0.0021105541,0.0029121456,0.0051100818,0.0002649053,0.09244389],"category_scores_gemma":[0.00308759,0.00027559034,0.000129841,0.0013116241,0.00018999861,0.00038408051,0.0033297834,0.0005379542,0.17244929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015307674,0.00008886525,2.0234916e-7,0.000023054712,0.000020876812,0.000004675641,0.000023394125,0.000310634,0.000031834657,0.00031288055,0.9862403,0.012927949],"study_design_scores_gemma":[0.0002532655,0.000099167,0.000039036226,0.000022403494,0.000024513707,0.000031893054,0.00003800475,0.001632682,0.000023021294,0.0006923763,0.9968355,0.0003081812],"about_ca_topic_score_codex":0.000028108545,"about_ca_topic_score_gemma":3.8414333e-7,"teacher_disagreement_score":0.08000541,"about_ca_system_score_codex":0.00014703898,"about_ca_system_score_gemma":0.000011304135,"threshold_uncertainty_score":0.9999696},"labels":[],"label_agreement":null},{"id":"W4394063493","doi":"10.1101/2024.04.05.24305356","title":"A Fast Nonparametric Sampling (NPS) Method for Time-to-Event in Individual-Level Simulation Models","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Simulation Techniques and Applications","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":"University of Ottawa","funders":"","keywords":"Nonparametric statistics; Covariate; Parametric statistics; Statistics; Sampling (signal processing); Event (particle physics); Univariate; Computer science; Parametric model; Categorical variable; Econometrics; Mathematics; Multivariate statistics","score_opus":0.3808553076615856,"score_gpt":0.5077762673250098,"score_spread":0.1269209596634242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394063493","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04356092,0.00011960182,0.95083565,0.0010235297,0.00022872452,0.0025029043,0.00062820734,0.00021307936,0.0008873988],"genre_scores_gemma":[0.64833564,0.0000037058082,0.3477638,0.00024547608,0.00014258357,0.0010305434,0.000081762075,0.000055693614,0.0023407924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949755,0.00021854314,0.0015298718,0.0014764701,0.0014160858,0.00038352134],"domain_scores_gemma":[0.99205995,0.0055618575,0.000420694,0.0012460725,0.0005331688,0.00017824693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0074861473,0.00036654546,0.00067623454,0.0024918958,0.00011625865,0.0006150881,0.0013692222,0.00042154064,0.00025170908],"category_scores_gemma":[0.0028039871,0.00031976425,0.00037511974,0.0029682145,0.000025950441,0.00011719181,0.0015261498,0.000601445,0.0007048818],"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":[0.000012824402,0.00005327903,0.0001878176,0.000024587403,0.00001778079,5.724053e-7,0.00041056017,0.87785393,0.000105087835,0.0016056523,0.000672377,0.119055524],"study_design_scores_gemma":[0.00010707881,0.000018621995,0.0014783121,0.00007776546,0.000028248744,4.3541752e-7,0.000026801254,0.634936,0.0002050797,0.35847735,0.004418512,0.0002258024],"about_ca_topic_score_codex":0.0000460636,"about_ca_topic_score_gemma":0.0000138187215,"teacher_disagreement_score":0.6047747,"about_ca_system_score_codex":0.00017176171,"about_ca_system_score_gemma":0.00020077561,"threshold_uncertainty_score":0.99992543},"labels":[],"label_agreement":null},{"id":"W4394581413","doi":"10.1002/adts.202300839","title":"Building Models in Pairs for Cross‐Verification Using SDL and DEVS","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Programming language; Modeling and simulation; Simulation","score_opus":0.12977305090774985,"score_gpt":0.4811462852412659,"score_spread":0.3513732343335161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394581413","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":[0.4146597,0.00034634687,0.5843964,0.0000781762,0.0000333528,0.00026914556,0.00003179702,0.000056436835,0.0001286085],"genre_scores_gemma":[0.9611417,0.000017848706,0.038468327,0.00005594342,0.000025074756,0.000044975117,0.000007500026,0.000011759304,0.00022684998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99889886,0.00007164424,0.00037497957,0.0003807244,0.00014621064,0.00012756012],"domain_scores_gemma":[0.9961756,0.0033810798,0.00005746849,0.00022573337,0.000112787035,0.000047367674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001234132,0.00009168146,0.00012159641,0.00024342013,0.00029088827,0.0002573207,0.000100438985,0.000060258768,0.000020693315],"category_scores_gemma":[0.0005413607,0.00007992663,0.00003720657,0.0004994964,0.00009017487,0.00080913765,0.000034673638,0.00006883326,0.0000012194439],"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":[0.000016181364,0.0000064465107,0.00029366103,0.00000451122,0.0000020464781,1.3463915e-7,0.00019837228,0.35472196,0.0015422264,0.60405767,0.000002416052,0.039154362],"study_design_scores_gemma":[0.00009948154,0.0000058807805,0.00039806464,0.0000140655675,0.0000038972144,8.8607044e-7,0.00007294915,0.4904873,0.0002676198,0.5067929,0.001802833,0.000054090997],"about_ca_topic_score_codex":0.0000032133753,"about_ca_topic_score_gemma":0.0000053459034,"teacher_disagreement_score":0.546482,"about_ca_system_score_codex":0.000025294174,"about_ca_system_score_gemma":0.00002474844,"threshold_uncertainty_score":0.3259313},"labels":[],"label_agreement":null},{"id":"W4394688444","doi":"10.21203/rs.3.rs-4167249/v1","title":"Compilation and Application of Real Global Input-Output Tables","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Computer science; Arithmetic; Mathematics","score_opus":0.21680810451364965,"score_gpt":0.5441270844176938,"score_spread":0.3273189799040441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394688444","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":[0.59923494,0.0048840996,0.24552596,0.01036887,0.00046200422,0.009110535,0.015118554,0.00089763856,0.11439738],"genre_scores_gemma":[0.99600625,0.00026818604,0.002289364,0.000010197237,0.00014115592,0.00029286894,0.0003424789,0.000015546982,0.00063394866],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954418,0.0003213582,0.0007599229,0.0008551892,0.002363389,0.00025834338],"domain_scores_gemma":[0.99578243,0.0010860102,0.00023120831,0.0011452808,0.0016210352,0.00013404065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043821353,0.00016212006,0.00033783505,0.00050997833,0.00018195999,0.00042200953,0.0007287796,0.00031415626,0.000074389674],"category_scores_gemma":[0.00070882775,0.00013358697,0.000112339425,0.0015961754,0.00030585073,0.00007711059,0.002193848,0.0006063372,0.00014240408],"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":[0.00005862664,0.00017525638,0.07563909,0.00067188736,0.00004251948,0.000002601713,0.00060462183,0.003473244,0.00062301266,0.4092198,0.026017893,0.48347145],"study_design_scores_gemma":[0.00009134298,0.000050585375,0.08357977,0.00017061069,0.000010719846,0.0000016222253,0.0003248024,0.07043827,0.00033464914,0.82231724,0.022535667,0.00014472472],"about_ca_topic_score_codex":0.000699872,"about_ca_topic_score_gemma":0.000108253196,"teacher_disagreement_score":0.4833267,"about_ca_system_score_codex":0.0001735469,"about_ca_system_score_gemma":0.00028201603,"threshold_uncertainty_score":0.5447518},"labels":[],"label_agreement":null},{"id":"W4395065141","doi":"10.48550/arxiv.2404.13522","title":"Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs","keywords":"Perspective (graphical); Shapley value; Value (mathematics); Mathematical economics; Econometrics; Mathematics; Computer science; Statistics; Artificial intelligence; Game theory","score_opus":0.3499383984447398,"score_gpt":0.3574870323385866,"score_spread":0.007548633893846801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395065141","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":[0.27604306,0.000030250982,0.70877564,0.0002182305,0.000054080534,0.00048749184,0.0010573021,0.00022252733,0.013111444],"genre_scores_gemma":[0.99637073,0.000012814083,0.0021224273,0.000100653044,0.000015263431,0.0000066350135,0.00017218947,0.000013879446,0.0011853819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977416,0.00015543003,0.0005863518,0.0009400995,0.00040129313,0.00017523147],"domain_scores_gemma":[0.9958642,0.0007228899,0.0005891955,0.0013836459,0.0012987782,0.00014124892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009237002,0.00025101868,0.00053683383,0.002626163,0.00014687785,0.00015019742,0.0012878256,0.00028010985,0.00029731856],"category_scores_gemma":[0.00035298162,0.00024069868,0.0005369743,0.004407981,0.00018191307,0.00034037756,0.0006322527,0.0004556952,0.00007065867],"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":[0.000015481417,0.000054792807,0.00030866291,0.000005226547,0.00020073655,0.0000020068317,0.00085838005,0.6491415,0.000004690268,0.34919474,0.00014744748,0.0000663387],"study_design_scores_gemma":[0.00008586466,0.000018485023,0.00042488388,0.000013933619,0.0005956103,5.129233e-8,0.0025556546,0.6488571,0.0000537832,0.34718308,0.000052471893,0.00015909802],"about_ca_topic_score_codex":0.00042383416,"about_ca_topic_score_gemma":0.00028717428,"teacher_disagreement_score":0.72032773,"about_ca_system_score_codex":0.0003194062,"about_ca_system_score_gemma":0.0004232577,"threshold_uncertainty_score":0.98154074},"labels":[],"label_agreement":null},{"id":"W4396686516","doi":"10.1145/3629527.3651433","title":"AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Artificial intelligence; Control (management)","score_opus":0.19087304712777603,"score_gpt":0.4330420432223309,"score_spread":0.2421689960945549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396686516","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":[0.04232271,0.000055340777,0.9496601,0.004288061,0.00048618033,0.00034279714,0.000048347778,0.00018396297,0.0026124965],"genre_scores_gemma":[0.9936522,0.000045855086,0.0031498307,0.00034383827,0.0002689416,0.00013351985,0.000008437737,0.000008423175,0.0023889057],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860525,0.000013009379,0.000457397,0.00039040876,0.00042369065,0.000110271605],"domain_scores_gemma":[0.9986976,0.0007476655,0.00003597248,0.00021531312,0.00025017984,0.000053314812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082323863,0.00008668087,0.00009593157,0.00020741561,0.00014765949,0.00042686294,0.00025885072,0.00006061397,0.00046132374],"category_scores_gemma":[0.0003560288,0.00006244549,0.00005615429,0.00027358963,0.000043018204,0.00025680612,0.000031043695,0.00009425166,0.00008601806],"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":[0.0000785073,0.000049589733,0.00037484372,0.00000509035,0.000018839939,2.678531e-7,0.0002875914,0.0766914,0.0002456993,0.22103073,0.008929022,0.6922884],"study_design_scores_gemma":[0.00003626374,0.000035405985,0.00005695917,0.000018480123,0.000004931422,0.0000015305684,0.00018353401,0.8798326,0.0006956422,0.092562325,0.026512127,0.000060149203],"about_ca_topic_score_codex":0.0000044008893,"about_ca_topic_score_gemma":0.000004452363,"teacher_disagreement_score":0.9513295,"about_ca_system_score_codex":0.000023628474,"about_ca_system_score_gemma":0.000025706675,"threshold_uncertainty_score":0.5051171},"labels":[],"label_agreement":null},{"id":"W4396721376","doi":"10.60087/jaigs.v1i1.103","title":"Actual Method of determining Time Traveling in Past and Simulation","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science","score_opus":0.17518974072746013,"score_gpt":0.49612964042975,"score_spread":0.32093989970228987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396721376","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":[0.59976447,0.00013166123,0.39903763,0.00044212936,0.0002645448,0.00014293392,0.00000703075,0.000019815141,0.00018980731],"genre_scores_gemma":[0.9405053,0.000021291202,0.058959845,0.00005833808,0.00031073787,0.000003063153,6.6264215e-7,0.000011316958,0.00012939234],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955157,0.00015064683,0.0019212058,0.00050064514,0.0015625576,0.0003492441],"domain_scores_gemma":[0.99635726,0.0018009534,0.0005865665,0.00029137358,0.0007666957,0.00019714303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008868284,0.00017673493,0.00041115208,0.001113152,0.00022328325,0.000598345,0.0008534914,0.000102695,0.00027507375],"category_scores_gemma":[0.0018716838,0.00013392938,0.00015734028,0.003263925,0.00041300376,0.0012325651,0.0001384745,0.00029684533,0.000048107537],"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":[0.00002289246,0.000035986268,0.0003931436,0.000004149191,0.0000042047936,0.0000089535715,0.0015365687,0.20603399,0.09211185,0.0026661244,0.000032812317,0.69714934],"study_design_scores_gemma":[0.000024883208,0.00015370791,0.0016329524,0.00009136031,0.000012164189,0.000033294094,0.00063629734,0.8521911,0.06992363,0.07454262,0.00061010313,0.00014790976],"about_ca_topic_score_codex":0.000028503433,"about_ca_topic_score_gemma":0.000021550946,"teacher_disagreement_score":0.6970014,"about_ca_system_score_codex":0.00009766809,"about_ca_system_score_gemma":0.0003049464,"threshold_uncertainty_score":0.5769855},"labels":[],"label_agreement":null},{"id":"W4398463255","doi":"10.7910/dvn/hbikkv/xow480","title":"RunB.coldat","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.11261675023398643,"score_gpt":0.3865479372720848,"score_spread":0.2739311870380984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398463255","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000016442206,4.2945035e-7,0.0015292157,0.00008858161,0.0003039352,0.00041183483,0.9968252,0.00013423499,0.00070489716],"genre_scores_gemma":[0.000021274907,0.00006756761,0.0012305902,0.0020390511,0.00036395882,0.00006434287,0.9950682,0.000016819607,0.0011281901],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964246,0.00011901853,0.00080305495,0.00093273004,0.0014646448,0.00025595658],"domain_scores_gemma":[0.9953965,0.0006148614,0.00044788685,0.0030423317,0.00022662073,0.0002718057],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00079775386,0.0002854474,0.0004533255,0.00028124082,0.000193762,0.00050623494,0.002756517,0.00028496934,0.088388436],"category_scores_gemma":[0.002269482,0.00023606699,0.00020241502,0.000852999,0.000105179344,0.00033653426,0.0009767724,0.00040668235,0.7159057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011442186,0.000032654214,0.0000041306794,0.0000059132108,0.0000114972945,0.000016034423,0.0000051004286,0.00000741805,0.000006821572,0.00025104423,0.99809325,0.0015547196],"study_design_scores_gemma":[0.00014489365,0.000025152938,0.00003926624,0.000011824512,0.000038605976,0.0000042948145,0.000029992236,0.00015736467,0.000026659061,0.0015616212,0.9976956,0.0002646808],"about_ca_topic_score_codex":0.00012574636,"about_ca_topic_score_gemma":0.00004815823,"teacher_disagreement_score":0.6275173,"about_ca_system_score_codex":0.00004690777,"about_ca_system_score_gemma":0.00014718849,"threshold_uncertainty_score":0.9626533},"labels":[],"label_agreement":null},{"id":"W4398648985","doi":"10.7910/dvn/dynawt/xwdx0q","title":"L4.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","score_opus":0.11857557478154548,"score_gpt":0.3901541759722164,"score_spread":0.2715786011906709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398648985","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000013228342,2.722936e-7,0.0019155078,0.00006781493,0.0002779329,0.00033037513,0.9962547,0.0001249143,0.0010271856],"genre_scores_gemma":[0.000021763895,0.00007560506,0.001196096,0.0018468368,0.00033896358,0.000050407987,0.99529994,0.000015091828,0.0011552846],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967078,0.00011259102,0.0007467917,0.0008518165,0.0013523881,0.00022860558],"domain_scores_gemma":[0.99583405,0.00059684215,0.00041537307,0.002702303,0.0002161282,0.00023532749],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007529424,0.0002583101,0.0004137549,0.00025861687,0.00017285263,0.000434997,0.0024327997,0.00026109358,0.13751398],"category_scores_gemma":[0.0021384726,0.00021263385,0.00019128861,0.000777435,0.00009937153,0.0002834962,0.00082821265,0.00038314064,0.8155219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009324474,0.00002849474,0.0000027679102,0.0000050768654,0.000010442257,0.000014080443,0.0000070194556,0.0000072541284,0.0000046703794,0.00028226819,0.9977558,0.0018727712],"study_design_scores_gemma":[0.00012569228,0.000022002958,0.000029662002,0.000010682519,0.000034207605,0.0000041595836,0.000037323694,0.00015361307,0.000022539292,0.0022033155,0.99711716,0.00023962233],"about_ca_topic_score_codex":0.0000977347,"about_ca_topic_score_gemma":0.000028265085,"teacher_disagreement_score":0.67800796,"about_ca_system_score_codex":0.000040245402,"about_ca_system_score_gemma":0.00013220115,"threshold_uncertainty_score":0.86709565},"labels":[],"label_agreement":null},{"id":"W4399031035","doi":"10.1007/s40996-024-01477-8","title":"The Taylor Diagram with Distance: A New Way to Compare the Performance of Models","year":2024,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Diagram; Computer science; Statistical physics; Mathematics; Statistics; Physics","score_opus":0.025450875399675055,"score_gpt":0.2929853120254027,"score_spread":0.2675344366257276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399031035","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":[0.2314682,0.00061543094,0.76404244,0.0035894085,0.00007356657,0.00010346316,0.0000034898906,0.000027975826,0.00007603445],"genre_scores_gemma":[0.99689233,0.00010134408,0.00293219,0.0000072662574,0.00001133331,0.0000059501203,1.8405691e-8,0.0000046540054,0.000044925342],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869347,0.000005347549,0.00041931248,0.00013045278,0.00061444135,0.00013698674],"domain_scores_gemma":[0.99878985,0.00026163022,0.00010887208,0.00027479336,0.00049990346,0.00006494591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011966752,0.00007265577,0.00015330814,0.0005570903,0.00025347702,0.000093284434,0.0007939921,0.000024502322,0.0000079348065],"category_scores_gemma":[0.00008950099,0.000035387216,0.00004037446,0.0033418066,0.0006808506,0.00041477673,0.000013592143,0.00020882075,6.3995583e-7],"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":[0.000038817117,0.00003905439,0.00057665556,0.00003063567,0.000045470042,0.0000029598034,0.0018824687,0.44096467,0.014535911,0.0413437,0.0002159021,0.5003238],"study_design_scores_gemma":[0.0003134161,0.00062883226,0.0018579492,0.00041248454,0.00006101985,0.000300973,0.0026386932,0.9248542,0.03922716,0.013718736,0.015785554,0.00020094129],"about_ca_topic_score_codex":0.0000032845805,"about_ca_topic_score_gemma":0.000041715455,"teacher_disagreement_score":0.76542413,"about_ca_system_score_codex":0.000020080332,"about_ca_system_score_gemma":0.00011644016,"threshold_uncertainty_score":0.25086224},"labels":[],"label_agreement":null},{"id":"W4399320957","doi":"10.1145/3670401","title":"ENHANCE: Multilevel Heterogeneous Performance-Aware Re-Partitioning Algorithm For Microscopic Vehicle Traffic Simulation","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Traffic simulation; Parallel computing; Distributed computing; Microsimulation; Engineering","score_opus":0.1039789151833709,"score_gpt":0.40096509404697434,"score_spread":0.29698617886360346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399320957","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":[0.23778172,0.00007241475,0.7609146,0.00015041252,0.0002695792,0.00044297325,0.000041671858,0.00032183732,0.000004747281],"genre_scores_gemma":[0.9339255,0.000023968942,0.06542194,0.00012825211,0.00017965036,0.00011415601,0.000037393795,0.000031217955,0.00013790226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790573,0.000056008776,0.0006552617,0.0007133418,0.00043226196,0.00023739706],"domain_scores_gemma":[0.99766266,0.0013300395,0.00008067451,0.00050750934,0.00033091413,0.00008818091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048492406,0.00021429292,0.00021721325,0.0003545781,0.00068655174,0.00052970427,0.0002510525,0.00014863742,0.00004587153],"category_scores_gemma":[0.000027400532,0.00019910817,0.00015080177,0.0004024402,0.000033768134,0.0005041542,0.000013082514,0.00018273738,0.00003501468],"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":[0.000008909032,0.00002451255,0.0000024226,0.000008800865,0.000008335662,1.6347155e-7,0.00020242528,0.5390576,0.000020882968,0.000006855871,0.000005370828,0.4606537],"study_design_scores_gemma":[0.0002980974,0.00015328864,0.000027421222,0.00009751274,0.000030393801,0.0000017580865,0.00003156947,0.9946566,0.00065899774,0.003155773,0.00067214057,0.00021642118],"about_ca_topic_score_codex":0.0000064668325,"about_ca_topic_score_gemma":0.0000033621889,"teacher_disagreement_score":0.6961438,"about_ca_system_score_codex":0.00006461209,"about_ca_system_score_gemma":0.000037757844,"threshold_uncertainty_score":0.81193954},"labels":[],"label_agreement":null},{"id":"W4399522539","doi":"10.32614/cran.package.tools4uplift","title":"tools4uplift: Tools for Uplift Modeling","year":2019,"lang":"en","type":"dataset","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Geology; Computer science","score_opus":0.5041527782014337,"score_gpt":0.5172241598726531,"score_spread":0.013071381671219462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399522539","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006041304,0.00002420893,0.29686952,0.0003623612,0.00021278806,0.001026695,0.70060134,0.000062383864,0.0008346393],"genre_scores_gemma":[0.00020427645,0.000037760507,0.006714484,0.0010403235,0.00025720053,0.00037722313,0.98517305,0.00001923386,0.006176468],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99691147,0.000028008506,0.0009848854,0.00083537755,0.0009648723,0.00027541196],"domain_scores_gemma":[0.9941795,0.0027636169,0.00030717254,0.002104327,0.00055134983,0.00009404162],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014911151,0.0002560614,0.00048942113,0.00030729978,0.00016754789,0.001006707,0.0016973703,0.00038220774,0.0026059262],"category_scores_gemma":[0.0021170545,0.00018667,0.00032471822,0.00041627113,0.00002388104,0.00037967283,0.00023799871,0.00020360615,0.0031731145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065067634,0.000021754111,6.1759937e-7,0.000007172302,0.0000066035755,9.435078e-8,0.0000021403582,0.004850291,0.000002150244,0.0016235963,0.9850444,0.00843464],"study_design_scores_gemma":[0.00012484625,0.000026028767,8.86013e-7,0.0000101726455,0.000017743652,7.1246916e-7,0.000029868901,0.11255529,0.000011860227,0.022556331,0.8644347,0.00023156258],"about_ca_topic_score_codex":0.00004485078,"about_ca_topic_score_gemma":0.000019928104,"teacher_disagreement_score":0.29015505,"about_ca_system_score_codex":0.00003611842,"about_ca_system_score_gemma":0.00012903627,"threshold_uncertainty_score":0.9983058},"labels":[],"label_agreement":null},{"id":"W4399581830","doi":"10.32614/cran.package.stochlab","title":"stochLAB: Stochastic Collision Risk Model","year":2022,"lang":"en","type":"dataset","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Collision; Computer science; Computer security","score_opus":0.13409125053474485,"score_gpt":0.4418629757645447,"score_spread":0.30777172522979984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399581830","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018077608,0.000018786817,0.22165963,0.00019709069,0.000110807814,0.0005562617,0.7768446,0.0001058573,0.0004888701],"genre_scores_gemma":[0.00023586044,0.00006327694,0.0020816068,0.0004133214,0.00006402138,0.000391177,0.98860776,0.000019195857,0.008123767],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99547666,0.00016379567,0.00087248354,0.00086953415,0.0023885581,0.00022898962],"domain_scores_gemma":[0.9950623,0.00161701,0.00064181053,0.0023220282,0.00021763901,0.00013919148],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019797715,0.00025988792,0.00040623613,0.0005419418,0.0005952893,0.00027195175,0.001977488,0.00021949274,0.09142019],"category_scores_gemma":[0.0014343325,0.00019731505,0.00016842842,0.001093604,0.000063205625,0.00012311921,0.00078215566,0.00059312483,0.00092018617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006952166,0.00005063927,3.112715e-7,7.4419916e-7,0.000004187531,4.244296e-7,0.0000049915184,0.2217272,4.0159782e-7,0.00050264416,0.7763888,0.0013126889],"study_design_scores_gemma":[0.00010995651,0.000042146716,0.000002851115,0.0000022866673,0.000027116123,0.0000012048831,0.000026557975,0.18205437,0.0000014360568,0.040754776,0.77678466,0.00019260478],"about_ca_topic_score_codex":0.0004003554,"about_ca_topic_score_gemma":0.00008758745,"teacher_disagreement_score":0.21957801,"about_ca_system_score_codex":0.000104986524,"about_ca_system_score_gemma":0.00019211914,"threshold_uncertainty_score":0.9998577},"labels":[],"label_agreement":null},{"id":"W4399693468","doi":"10.1007/978-3-031-55964-8_3","title":"Markov Chain Monte Carlo","year":2024,"lang":"en","type":"book-chapter","venue":"Undergraduate texts in mathematics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Markov chain Monte Carlo; Monte Carlo method; Statistical physics; Markov chain; Computer science; Mathematics; Statistics; Physics; Machine learning","score_opus":0.08308538155294448,"score_gpt":0.36819515037880035,"score_spread":0.28510976882585587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399693468","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005047332,0.000637474,0.0065198243,0.0033647905,0.00026373428,0.0008619973,0.000099533354,0.00033526937,0.9878669],"genre_scores_gemma":[0.018194605,0.00025744672,0.011044781,0.00013701181,0.00013093257,0.00005712574,0.000011153523,0.00012421998,0.9700427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995707,0.00002553062,0.0016068708,0.0008084518,0.0015412084,0.00031093505],"domain_scores_gemma":[0.9961529,0.0014185983,0.00052208523,0.0015657754,0.00022140583,0.000119228745],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016383345,0.00047832358,0.0007449875,0.000922714,0.00009496844,0.00037986643,0.0010687027,0.00042530883,0.00075772335],"category_scores_gemma":[0.0003415622,0.00038017216,0.00033660448,0.00033083197,0.00015833076,0.00010384772,0.00035073183,0.0006362602,0.002963585],"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":[0.0000017493203,0.000034467084,0.0000042536417,0.000058540103,0.000023676486,0.000023805547,0.00024340086,0.00017172251,0.000003078959,0.9527392,0.03545049,0.011245661],"study_design_scores_gemma":[0.00007592843,0.000014881862,0.0000022775246,0.00027875594,0.000028513079,0.000013173532,0.000048933503,0.017801287,0.0000070824535,0.7302658,0.25117373,0.00028966457],"about_ca_topic_score_codex":0.00000986486,"about_ca_topic_score_gemma":0.00009659659,"teacher_disagreement_score":0.22247338,"about_ca_system_score_codex":0.00018209832,"about_ca_system_score_gemma":0.000087447115,"threshold_uncertainty_score":0.999865},"labels":[],"label_agreement":null},{"id":"W4399693855","doi":"10.1007/978-3-031-55964-8_1","title":"Introduction to Monte Carlo Methods","year":2024,"lang":"en","type":"book-chapter","venue":"Undergraduate texts in mathematics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Monte Carlo method; Statistical physics; Computer science; Mathematics; Physics; Statistics","score_opus":0.10983379030935264,"score_gpt":0.4417815854363883,"score_spread":0.33194779512703565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399693855","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025034378,0.00036327168,0.20897451,0.023348477,0.00076708524,0.0013087301,0.000052280404,0.0004172375,0.7647434],"genre_scores_gemma":[0.00083348097,0.000070461014,0.19557308,0.00013858362,0.00050403114,0.00006244237,0.00000640888,0.0000874244,0.80272406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961592,0.00004919612,0.0014858887,0.0009323457,0.0011143507,0.0002590367],"domain_scores_gemma":[0.9963428,0.0012244253,0.00038184406,0.0016126845,0.00030315501,0.00013509447],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028570439,0.00040296523,0.0006879896,0.0011601707,0.00008595048,0.0003552672,0.00082129677,0.00032187867,0.0007359872],"category_scores_gemma":[0.0008629658,0.00032573164,0.0002482031,0.0005061735,0.00008480454,0.000107825865,0.00033004227,0.0005271326,0.003701828],"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":[0.000001996385,0.000024822393,6.22465e-7,0.000033803568,0.00001928503,0.0000040819828,0.00032009752,0.00094117015,0.000026383255,0.86105096,0.10337786,0.034198925],"study_design_scores_gemma":[0.000029875988,0.00001664755,8.0312003e-7,0.00008134631,0.000023736056,0.000008470376,0.00003749172,0.0058084927,0.000047612346,0.55444443,0.4393131,0.00018798986],"about_ca_topic_score_codex":0.000007565542,"about_ca_topic_score_gemma":0.000046036814,"teacher_disagreement_score":0.33593526,"about_ca_system_score_codex":0.00022405092,"about_ca_system_score_gemma":0.000061464365,"threshold_uncertainty_score":0.9999195},"labels":[],"label_agreement":null},{"id":"W4399806578","doi":"10.1002/adts.202400144","title":"A Web‐Based Architecture to Operationalize Geospatial Simulation Environments","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","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":"Carleton University","funders":"","keywords":"Geospatial analysis; Operationalization; Architecture; Computer science; World Wide Web; Geography; Remote sensing; Physics; Archaeology","score_opus":0.034107859863116985,"score_gpt":0.3982999362278562,"score_spread":0.3641920763647392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399806578","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":[0.15097208,0.00012760816,0.84601176,0.0011064021,0.00010610754,0.0005504005,0.00015516755,0.00017525262,0.00079522486],"genre_scores_gemma":[0.9870515,0.0000029870198,0.009525119,0.0008717297,0.00008931499,0.00008088983,0.00006429711,0.000021271815,0.0022929034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980515,0.00021538646,0.0004609352,0.000565797,0.00052832376,0.00017805562],"domain_scores_gemma":[0.9944999,0.004774826,0.000053927208,0.000448171,0.00007894192,0.00014423695],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008581509,0.00016773284,0.00016230949,0.00034554352,0.00039661667,0.00029185717,0.00021439,0.00007739975,0.0009672248],"category_scores_gemma":[0.0009798952,0.00013642061,0.000079348196,0.000742088,0.0000723205,0.00035318936,0.00006612564,0.00013258662,0.00019052395],"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":[0.000036653924,0.000021855512,0.00012129146,0.0000018731528,0.000006284336,7.9632133e-7,0.00025976653,0.82100856,0.0021229975,0.103079125,0.00003685363,0.07330392],"study_design_scores_gemma":[0.00020873042,0.0000351926,0.00086976064,0.000016152315,0.00001122853,7.7975704e-7,0.000043295902,0.57059216,0.0004409347,0.26135445,0.16628568,0.0001416466],"about_ca_topic_score_codex":0.0000011648539,"about_ca_topic_score_gemma":0.000009730359,"teacher_disagreement_score":0.83648664,"about_ca_system_score_codex":0.00003656965,"about_ca_system_score_gemma":0.000053167194,"threshold_uncertainty_score":0.999946},"labels":[],"label_agreement":null},{"id":"W4399886290","doi":"10.1145/3625223.3649278","title":"ReDaML: A Modeling Language for DO-178C High-Level Requirements in Airspace Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Mitacs","keywords":"Computer science; Aeronautics; Systems engineering; Software engineering; Engineering","score_opus":0.45351422230673816,"score_gpt":0.5138809966180931,"score_spread":0.0603667743113549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399886290","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":[0.2719914,0.00004789641,0.72023696,0.0018288654,0.00017744536,0.0010178975,0.000066322085,0.00043357737,0.0041996506],"genre_scores_gemma":[0.97793084,0.000005599844,0.0069451374,0.00008198447,0.000050946448,0.00029419494,0.000016825357,0.000012560104,0.0146619165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983613,0.00003730535,0.00047354517,0.00036501433,0.00055496104,0.00020788112],"domain_scores_gemma":[0.998724,0.00048117797,0.00008491975,0.00049752527,0.00016064849,0.00005175383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001824815,0.00008259843,0.00016451586,0.0003439289,0.00009359862,0.00017396918,0.00038494702,0.00006621303,0.000080382524],"category_scores_gemma":[0.00051908905,0.00006334048,0.000055543467,0.0010689973,0.000012055248,0.0001695116,0.000089015244,0.00004996099,0.00024759694],"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":[0.00005620186,0.00014070736,0.002917821,0.000036834263,0.000021985185,0.0000077119,0.0034226016,0.35226312,0.007420047,0.43900314,0.15452258,0.04018724],"study_design_scores_gemma":[0.00033604147,0.000017536438,0.000340225,0.000022051945,0.0000023101945,4.557933e-7,0.0042343335,0.9580595,0.00036161856,0.031698078,0.004815179,0.00011265103],"about_ca_topic_score_codex":0.00043281727,"about_ca_topic_score_gemma":0.00006892101,"teacher_disagreement_score":0.7132918,"about_ca_system_score_codex":0.000041277766,"about_ca_system_score_gemma":0.000026152216,"threshold_uncertainty_score":0.31824404},"labels":[],"label_agreement":null},{"id":"W4399993752","doi":"10.1109/tac.2024.3419002","title":"Robust Mean-Field Games With Partial Observations: A Complementary Strategy","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Field (mathematics); Mathematics; Control theory (sociology); Artificial intelligence; Control (management); Pure mathematics","score_opus":0.1315577272298853,"score_gpt":0.3641901911069247,"score_spread":0.2326324638770394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399993752","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":[0.018513713,0.000050342518,0.97390175,0.0048573036,0.00021119202,0.0008034573,0.00011734716,0.00074637803,0.0007985154],"genre_scores_gemma":[0.9917715,0.000006441484,0.0057008485,0.0009975159,0.00005610123,0.00048593254,0.000005105663,0.000022885857,0.0009536749],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975146,0.00011750223,0.00074176135,0.00049242383,0.0008832934,0.00025040758],"domain_scores_gemma":[0.996586,0.0023999081,0.000104034094,0.000628565,0.00016784541,0.00011364581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006801569,0.00020598313,0.0002903978,0.00033049946,0.00030142523,0.00052492524,0.00037746248,0.000073723124,0.0034862538],"category_scores_gemma":[0.000028062024,0.00014611246,0.00016895184,0.0009857333,0.000067028195,0.00041464582,0.0000013971744,0.00018984906,0.00032509412],"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":[0.00009781513,0.0004245936,0.00013990546,0.000034767356,0.000281922,0.000020097425,0.00076112774,0.20927264,0.0009385634,0.0114886705,0.010213437,0.7663265],"study_design_scores_gemma":[0.00077722897,0.00032795843,0.00046810153,0.000083012026,0.000114887305,0.000014421431,0.00048024696,0.9789732,0.002050969,0.005694923,0.0107886605,0.00022639411],"about_ca_topic_score_codex":0.00009977197,"about_ca_topic_score_gemma":0.00024002795,"teacher_disagreement_score":0.9732578,"about_ca_system_score_codex":0.000059604594,"about_ca_system_score_gemma":0.00012949723,"threshold_uncertainty_score":0.9974247},"labels":[],"label_agreement":null},{"id":"W4400376384","doi":"10.48550/arxiv.2407.02961","title":"Towards a Scalable Reference-Free Evaluation of Generative Models","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese University of Hong Kong","keywords":"Generative grammar; Computer science; Scalability; Generative model; Artificial intelligence; Database","score_opus":0.546135853014692,"score_gpt":0.35527626885119307,"score_spread":0.19085958416349896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400376384","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":[0.50756496,0.00026143418,0.3392386,0.00043972235,0.00028282002,0.0010992951,0.00039746563,0.00021630243,0.1504994],"genre_scores_gemma":[0.99307835,0.00007030443,0.0020617626,0.00003027574,0.00005040106,0.000009988751,0.000036081157,0.000015787828,0.004647055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971664,0.00031124943,0.00050674484,0.001078475,0.0007636353,0.00017348914],"domain_scores_gemma":[0.99520683,0.00022774863,0.00040941237,0.0019071589,0.0021491575,0.00009968581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026481273,0.00022286375,0.000379146,0.0005357224,0.000103546605,0.0001391903,0.0016103153,0.00031901442,0.00068652915],"category_scores_gemma":[0.000432493,0.00020440329,0.00023200556,0.001271376,0.00014201539,0.00019786393,0.002099491,0.00042077628,0.00014952834],"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":[0.000011369191,0.000038211943,0.0000505247,0.000010789325,0.00003260969,0.0000019633724,0.0001485182,0.6073421,0.00004633363,0.38442853,0.0037777463,0.0041112793],"study_design_scores_gemma":[0.00012353326,0.000011795206,0.00007761874,0.000027348711,0.00009525387,2.2685857e-7,0.00011148596,0.4878606,0.0004433197,0.51085687,0.00028749986,0.000104500046],"about_ca_topic_score_codex":0.00029142573,"about_ca_topic_score_gemma":0.00007866544,"teacher_disagreement_score":0.48551342,"about_ca_system_score_codex":0.00024953377,"about_ca_system_score_gemma":0.0006946185,"threshold_uncertainty_score":0.83353245},"labels":[],"label_agreement":null},{"id":"W4400487993","doi":"10.1109/msmc.2024.3377181","title":"E-CARGO/RBC Research Guide: A Road Map for Researchers","year":2024,"lang":"en","type":"article","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Road map; Aeronautics; Transport engineering; Computer science; Marine engineering; Engineering; Geography; Cartography","score_opus":0.35365065671639745,"score_gpt":0.5200839369976824,"score_spread":0.16643328028128496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400487993","genre_codex":"other","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":[0.14437944,0.035231125,0.21096656,0.03183031,0.00581231,0.014339968,0.00094221474,0.002108401,0.55438966],"genre_scores_gemma":[0.74382937,0.00014785095,0.0010492185,0.000047815367,0.0004536621,0.00025872313,0.000012036983,0.000038669765,0.25416264],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963787,0.00026071086,0.0007189419,0.00072079356,0.0014653234,0.00045549273],"domain_scores_gemma":[0.9964479,0.001647411,0.00006937123,0.0007636361,0.0008402527,0.00023138532],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0072477753,0.00015498533,0.0002609912,0.000550582,0.00030199607,0.0013897505,0.00060820783,0.00014517091,0.0001235102],"category_scores_gemma":[0.0005282286,0.000119084754,0.000102739374,0.0009902841,0.0002387808,0.00013829667,0.000104117484,0.00028329663,0.001243869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017949404,0.000033997505,0.000099241326,0.00011974405,0.000023020551,0.000009560696,0.00037478263,0.00014891326,0.0021535815,0.07582277,0.8621097,0.059086736],"study_design_scores_gemma":[0.0001724545,0.00011167484,0.00041886675,0.00008920253,0.0000072997477,0.000011522024,0.00026890892,0.06174237,0.00023835235,0.025606956,0.91119707,0.00013530064],"about_ca_topic_score_codex":0.00017250299,"about_ca_topic_score_gemma":0.000050839935,"teacher_disagreement_score":0.59944993,"about_ca_system_score_codex":0.000076222306,"about_ca_system_score_gemma":0.00011519101,"threshold_uncertainty_score":0.9996469},"labels":[],"label_agreement":null},{"id":"W4400615885","doi":"10.5220/0012812900003758","title":"Enhancing Continuous Optimization with a Hybrid History-Driven Firefly and Simulated Annealing Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Firefly protocol; Simulated annealing; Computer science; Firefly algorithm; Annealing (glass); Mathematical optimization; Materials science; Algorithm; Mathematics; Biology","score_opus":0.06036423270826779,"score_gpt":0.33698881779622203,"score_spread":0.27662458508795423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400615885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041911967,0.00044939423,0.9466489,0.00027316328,0.00004644916,0.0003006623,0.00000469638,0.00046131533,0.009903454],"genre_scores_gemma":[0.9198508,0.000010125947,0.07698309,0.0001239653,0.000045216668,0.00001685768,0.000014144996,0.00001574228,0.002940042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986127,0.000038329028,0.0003518402,0.00046641188,0.00039791246,0.00013281817],"domain_scores_gemma":[0.9989813,0.000401869,0.00007140667,0.00027819988,0.00019381155,0.00007339182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051690894,0.00011033145,0.00016538038,0.00019669751,0.000103081395,0.0002730743,0.00016100681,0.0000422589,0.00034208642],"category_scores_gemma":[0.00011557835,0.00007432274,0.000034935623,0.00040823885,0.00006179366,0.00028614202,0.000044656175,0.00008859878,0.000022264252],"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":[0.000021118793,0.000037929465,0.0010270585,0.000024681493,0.000030146197,0.00001133837,0.0011438917,0.9513146,0.0013265405,0.008904859,0.006757691,0.0294001],"study_design_scores_gemma":[0.000112837806,0.000031478634,0.0000877072,0.00002232187,0.000010858763,0.000012313109,0.00016787574,0.97293746,0.00070701493,0.00075332395,0.025036141,0.00012066476],"about_ca_topic_score_codex":0.00005146909,"about_ca_topic_score_gemma":0.0000047261433,"teacher_disagreement_score":0.87793887,"about_ca_system_score_codex":0.00006999802,"about_ca_system_score_gemma":0.00005667668,"threshold_uncertainty_score":0.37456065},"labels":[],"label_agreement":null},{"id":"W4401338478","doi":"10.2118/217760-pa","title":"Quantifying the Effects of Interwell Communication Using Dynamic Fluid-in-Place Calculations","year":2024,"lang":"en","type":"article","venue":"SPE Journal","topic":"Simulation Techniques and Applications","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":"University of Calgary","funders":"","keywords":"Geology; Petroleum engineering; Petrology; Mechanics; Physics","score_opus":0.12667028721490128,"score_gpt":0.47760939508185085,"score_spread":0.3509391078669496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401338478","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":[0.7535817,0.0022146457,0.2405372,0.0023472635,0.00030540588,0.00023443144,0.0000029445619,0.00003401945,0.00074237445],"genre_scores_gemma":[0.9945866,0.00016295149,0.004937344,0.000037406975,0.00002857312,0.0000033699469,9.587743e-7,0.000007630029,0.00023516754],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986311,0.00020204658,0.0005412857,0.000121103585,0.00040430264,0.00010013391],"domain_scores_gemma":[0.9973035,0.0019575325,0.00015842791,0.00040675214,0.00014164826,0.000032136653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018533797,0.00006364987,0.00011606595,0.00028861678,0.0002064383,0.00027954378,0.0004901536,0.00003956288,0.00009749525],"category_scores_gemma":[0.00056813454,0.000039163522,0.00010346678,0.00083161495,0.00006450659,0.00023520812,0.00007752508,0.0002695434,0.000030934967],"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":[0.000062349514,0.00038022618,0.023579657,0.00017321334,0.0001564794,0.000045672292,0.012654991,0.14655495,0.26187342,0.17833813,0.013659464,0.36252144],"study_design_scores_gemma":[0.00012002327,0.000020149737,0.0076849754,0.00029853464,0.000020007647,0.000071342874,0.00050466164,0.94216293,0.0018542545,0.039308082,0.0078791855,0.00007585184],"about_ca_topic_score_codex":0.000037539092,"about_ca_topic_score_gemma":0.00007010537,"teacher_disagreement_score":0.795608,"about_ca_system_score_codex":0.00008316982,"about_ca_system_score_gemma":0.000068160756,"threshold_uncertainty_score":0.26956472},"labels":[],"label_agreement":null},{"id":"W4401786701","doi":"10.2172/2431152","title":"DECOVALEX-2023: Task F Specification (Revision 10)","year":2023,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Canadian Nuclear Safety Commission","funders":"","keywords":"Task (project management); Computer science; Environmental science; Engineering; Systems engineering","score_opus":0.5601234120549604,"score_gpt":0.5507735863478135,"score_spread":0.00934982570714693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401786701","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026710462,0.00046440592,0.0689012,0.0019625102,0.001378806,0.0012543636,0.0002598655,0.001238831,0.9242729],"genre_scores_gemma":[0.012487545,0.0027955575,0.0045243017,0.00012434027,0.0010949998,0.0001442331,0.0006301271,0.000091756745,0.97810715],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9918767,0.000118133365,0.0018577893,0.0012806532,0.0045587514,0.0003079764],"domain_scores_gemma":[0.9917959,0.0018975928,0.0009917377,0.0024250243,0.0027191467,0.00017059731],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0059962026,0.00033428555,0.000616918,0.0009292992,0.00025572136,0.00045223828,0.0014325045,0.00051479874,0.024011355],"category_scores_gemma":[0.0054396433,0.00024875137,0.00043537823,0.0025569794,0.00007617069,0.00019677846,0.00033229863,0.00032186313,0.040962726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022637685,0.000021328367,0.00009932383,0.0000063421785,0.000007865507,0.0000016215126,0.000008418971,0.000028799923,0.000029291488,0.0014278801,0.8123593,0.1860076],"study_design_scores_gemma":[0.00006195586,0.00002076782,0.0036745789,0.00004194401,0.000020966765,0.0000070025126,0.000058410606,0.00080080883,0.000112334514,0.018996045,0.9759143,0.00029090806],"about_ca_topic_score_codex":0.00015519782,"about_ca_topic_score_gemma":0.000053122243,"teacher_disagreement_score":0.1857167,"about_ca_system_score_codex":0.00026928564,"about_ca_system_score_gemma":0.0006180528,"threshold_uncertainty_score":0.9999965},"labels":[],"label_agreement":null},{"id":"W4402087794","doi":"10.2139/ssrn.4942702","title":"Hybrid Plant Models Call for a Different Plant Modelling Paradigm and a New Generation of Software","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Paradigm shift; Software; Programming language","score_opus":0.18161796821246592,"score_gpt":0.36261905055321175,"score_spread":0.18100108234074583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402087794","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":[0.1129188,0.0049074427,0.88021034,0.00077769463,0.00016896184,0.00055486534,0.00039415408,0.000049122,0.000018637653],"genre_scores_gemma":[0.98660403,0.00417063,0.007559703,0.00004058094,0.00052012835,0.000075208416,0.00013886346,0.000036517693,0.00085433514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99684525,0.000061657745,0.000994401,0.0005787301,0.00070624996,0.00081374095],"domain_scores_gemma":[0.9983827,0.0003564151,0.0005429159,0.00040508326,0.00017034997,0.00014252838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018619937,0.00026687063,0.00048638025,0.00034882413,0.00016724654,0.00034042378,0.00052042404,0.00016542393,0.000007703005],"category_scores_gemma":[0.00008297892,0.00019425913,0.00027559008,0.00009741151,0.000031984313,0.000095234405,0.00026916398,0.0015121957,0.0000022926988],"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":[0.00007904986,0.000056952835,0.000031275707,0.000037895625,0.00016667327,0.0000014430963,0.0003439549,0.4887099,0.00011267195,0.46887177,0.0036720617,0.03791637],"study_design_scores_gemma":[0.00012609125,0.00005583761,0.0000015092572,0.000047175385,0.000044998986,0.000066966204,0.000024104862,0.4707396,0.00019931975,0.52818143,0.00040695455,0.000106020234],"about_ca_topic_score_codex":0.00011103048,"about_ca_topic_score_gemma":0.00019455193,"teacher_disagreement_score":0.87368524,"about_ca_system_score_codex":0.0003480902,"about_ca_system_score_gemma":0.001999947,"threshold_uncertainty_score":0.79216576},"labels":[],"label_agreement":null},{"id":"W4402267642","doi":"10.32920/26883646","title":"Dynamic Performance Simulation and Treatment Alternatives Evaluation for Process Intensification for a Wastewater Treatment Plant in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Sewage treatment; Environmental science; Process engineering; Computer science; Engineering; Environmental engineering","score_opus":0.22300458290753425,"score_gpt":0.5121593782032584,"score_spread":0.2891547952957242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402267642","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":[0.9690526,0.00041406954,0.019925358,0.00082238426,0.00020821621,0.008650929,0.00042207824,0.00010740143,0.00039697133],"genre_scores_gemma":[0.98329103,0.0001624862,0.0042684977,0.00001869955,0.000057827132,0.01035336,0.0006795602,0.00002610851,0.0011424039],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751675,0.00005624868,0.00080417795,0.0009683101,0.0004685325,0.00018600245],"domain_scores_gemma":[0.99775726,0.0007941782,0.00029032494,0.0004942518,0.0006116526,0.000052319658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010885601,0.00029780346,0.00038130605,0.00025923166,0.00010444234,0.00028759474,0.00019998806,0.00017268377,0.00006705724],"category_scores_gemma":[0.00018669499,0.00019465525,0.00013174844,0.00011794921,0.000032934327,0.00019338418,0.00008605286,0.000054835156,0.000006540996],"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":[0.00036151678,0.00032714935,0.00074416195,0.00013719074,0.00009387288,1.8352638e-7,0.006208081,0.2951638,0.00026511672,0.0020319957,0.00006762039,0.6945993],"study_design_scores_gemma":[0.00075132085,0.000374831,0.0015605671,0.0000824082,0.00008597351,6.6210185e-7,0.0010999342,0.93727916,0.0016241514,0.055672556,0.001270476,0.00019795753],"about_ca_topic_score_codex":0.00033024137,"about_ca_topic_score_gemma":0.0019987698,"teacher_disagreement_score":0.6944013,"about_ca_system_score_codex":0.0016927114,"about_ca_system_score_gemma":0.00016912092,"threshold_uncertainty_score":0.7937811},"labels":[],"label_agreement":null},{"id":"W4402267729","doi":"10.32920/26883646.v1","title":"Dynamic Performance Simulation and Treatment Alternatives Evaluation for Process Intensification for a Wastewater Treatment Plant in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sewage treatment; Process (computing); Environmental science; Computer science; Engineering; Environmental engineering","score_opus":0.22300458290753425,"score_gpt":0.5121593782032584,"score_spread":0.2891547952957242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402267729","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":[0.9690526,0.00041406954,0.019925358,0.00082238426,0.00020821621,0.008650929,0.00042207824,0.00010740143,0.00039697133],"genre_scores_gemma":[0.98329103,0.0001624862,0.0042684977,0.00001869955,0.000057827132,0.01035336,0.0006795602,0.00002610851,0.0011424039],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751675,0.00005624868,0.00080417795,0.0009683101,0.0004685325,0.00018600245],"domain_scores_gemma":[0.99775726,0.0007941782,0.00029032494,0.0004942518,0.0006116526,0.000052319658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010885601,0.00029780346,0.00038130605,0.00025923166,0.00010444234,0.00028759474,0.00019998806,0.00017268377,0.00006705724],"category_scores_gemma":[0.00018669499,0.00019465525,0.00013174844,0.00011794921,0.000032934327,0.00019338418,0.00008605286,0.000054835156,0.000006540996],"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":[0.00036151678,0.00032714935,0.00074416195,0.00013719074,0.00009387288,1.8352638e-7,0.006208081,0.2951638,0.00026511672,0.0020319957,0.00006762039,0.6945993],"study_design_scores_gemma":[0.00075132085,0.000374831,0.0015605671,0.0000824082,0.00008597351,6.6210185e-7,0.0010999342,0.93727916,0.0016241514,0.055672556,0.001270476,0.00019795753],"about_ca_topic_score_codex":0.00033024137,"about_ca_topic_score_gemma":0.0019987698,"teacher_disagreement_score":0.6944013,"about_ca_system_score_codex":0.0016927114,"about_ca_system_score_gemma":0.00016912092,"threshold_uncertainty_score":0.7937811},"labels":[],"label_agreement":null},{"id":"W4402293228","doi":"10.1002/9781119912965.ch4","title":"Resource Management on Systems Subjected to Uncertainties Associated with Workload and System Parameters","year":2024,"lang":"en","type":"other","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Workload; Computer science; Resource (disambiguation); Operations management; Operations research; Reliability engineering; Engineering; Operating system; Computer network","score_opus":0.06404942755351549,"score_gpt":0.3430243734301865,"score_spread":0.278974945876671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402293228","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000386485,0.0003189842,0.00677422,0.00029878173,0.00013533821,0.0015568493,0.00005989394,0.0013069364,0.9891625],"genre_scores_gemma":[0.078127794,0.000008917643,0.0008280975,0.00014736458,0.000035368757,0.00027344795,0.000010513373,0.00016913455,0.92039937],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975644,0.000111524525,0.0003993526,0.0007399413,0.0009900742,0.0001947558],"domain_scores_gemma":[0.9984933,0.00038221036,0.00021172035,0.0007264626,0.000076481185,0.00010982071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069675996,0.00025043834,0.00038844833,0.00082216994,0.00005916243,0.0006067851,0.0003801196,0.00017478246,0.0001352495],"category_scores_gemma":[0.00007276759,0.00015319759,0.000051024574,0.0012253093,0.000048693135,0.000017645245,0.0001077681,0.0001207687,0.00072466733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015069509,0.000013702993,0.00004725245,0.00004880135,0.0001183263,0.000008750162,0.000056090073,0.0003523358,4.15278e-7,0.027813409,0.9689323,0.002593582],"study_design_scores_gemma":[0.00016775854,0.000105852276,0.0001268719,0.0030840745,0.00007242838,0.0000023080681,0.003569036,0.00094619574,0.000006055103,0.00036376165,0.99121696,0.00033868838],"about_ca_topic_score_codex":0.00023456903,"about_ca_topic_score_gemma":0.00015072091,"teacher_disagreement_score":0.07774131,"about_ca_system_score_codex":0.00011698048,"about_ca_system_score_gemma":0.000010628353,"threshold_uncertainty_score":0.93143743},"labels":[],"label_agreement":null},{"id":"W4402570961","doi":"10.1109/icstw60967.2024.00055","title":"Timed Model-Based Mutation Operators for Simulink Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mutation; Genetics; Biology","score_opus":0.20809713048661788,"score_gpt":0.4720691608922595,"score_spread":0.2639720304056416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402570961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046002036,0.000038957383,0.9848132,0.0022392229,0.00006175355,0.0005412694,0.000036986377,0.00040571665,0.0072626686],"genre_scores_gemma":[0.9084227,8.504165e-7,0.0844249,0.0006560717,0.000038887345,0.00020342611,0.00002255558,0.000013672875,0.0062169507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987077,0.000018549787,0.00037193028,0.00037218007,0.00041067993,0.000118923046],"domain_scores_gemma":[0.9982561,0.0010110431,0.00003132591,0.00032928164,0.00030885206,0.00006342431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078092783,0.0000844204,0.00010637212,0.00020487659,0.000116263865,0.00037020314,0.0002633512,0.000065301,0.000284375],"category_scores_gemma":[0.0001870469,0.000059283466,0.000111621455,0.00056667766,0.000025815723,0.00033158943,0.000019520385,0.000047388658,0.00017727529],"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":[0.0000038827848,0.0000117128575,0.0000023244206,0.0000023400687,0.0000021929645,2.0285876e-7,0.000053525397,0.8241754,0.00016778774,0.1270978,0.01132461,0.037158195],"study_design_scores_gemma":[0.00007366041,0.0000126799305,0.000001167572,0.0000032646558,0.000004119835,1.5557131e-7,0.000022930022,0.6710336,0.0026211387,0.31743252,0.008735989,0.000058747777],"about_ca_topic_score_codex":0.0000046355362,"about_ca_topic_score_gemma":0.000002658689,"teacher_disagreement_score":0.9038225,"about_ca_system_score_codex":0.000027426948,"about_ca_system_score_gemma":0.00011891971,"threshold_uncertainty_score":0.35698774},"labels":[],"label_agreement":null},{"id":"W4402916235","doi":"10.1109/cvprw63382.2024.00450","title":"Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Adaptation (eye); Test (biology); Real-time computing; Distributed computing","score_opus":0.06892993110861499,"score_gpt":0.3543937217967804,"score_spread":0.2854637906881654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402916235","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":[0.32048678,0.00012189301,0.66992694,0.0003047812,0.000032507367,0.0005858288,0.00006681259,0.00022463857,0.00824982],"genre_scores_gemma":[0.9343219,0.00003056463,0.043964937,0.000013527037,0.0000061161186,0.000028969549,0.000019672529,0.000013676964,0.02160066],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820703,0.000048684928,0.00062753755,0.0004067732,0.0005742446,0.0001357365],"domain_scores_gemma":[0.99841714,0.0009658555,0.000098015735,0.00042718128,0.000044440763,0.0000473925],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007876217,0.00010669472,0.00017464816,0.00033174074,0.000040354746,0.00008577546,0.00029825506,0.00007703433,0.0012521482],"category_scores_gemma":[0.00017992438,0.000086704415,0.000076090306,0.0005378765,0.00004513411,0.0004187939,0.000072591414,0.00007040341,0.00076125446],"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":[0.0000067226024,0.00031345972,0.00075891125,0.000010232328,0.000008506187,0.00000528596,0.0010403986,0.13488169,0.8030515,0.0021724186,0.00095968746,0.05679122],"study_design_scores_gemma":[0.00010390813,0.000021863929,0.0017592508,0.00002161508,0.000005250283,4.7192853e-7,0.00012949306,0.9783245,0.0069170794,0.012291733,0.00033519082,0.00008967358],"about_ca_topic_score_codex":0.00017683492,"about_ca_topic_score_gemma":0.000012353298,"teacher_disagreement_score":0.8434428,"about_ca_system_score_codex":0.0000738105,"about_ca_system_score_gemma":0.000032351076,"threshold_uncertainty_score":0.99966085},"labels":[],"label_agreement":null},{"id":"W4402955291","doi":"10.48550/arxiv.2409.01855","title":"Graph-based Modeling and Simulation of Emergency Services Communication Systems","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Security Agency","keywords":"Computer science; Graph; Theoretical computer science","score_opus":0.25638742649625323,"score_gpt":0.32032417139891517,"score_spread":0.06393674490266193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402955291","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":[0.6260336,0.00054301776,0.3718227,0.00005990314,0.00014617626,0.0003735615,0.000056587556,0.00012352953,0.0008408879],"genre_scores_gemma":[0.9989927,0.00021735158,0.0003668419,0.000009424107,0.000021162601,0.0000031575366,0.000042369888,0.00001499483,0.00033203443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982897,0.00016651642,0.0005669224,0.0006488661,0.00021683291,0.00011113227],"domain_scores_gemma":[0.9972663,0.00034391024,0.00044638148,0.0012424384,0.0006308986,0.00007008275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008193565,0.00017561908,0.00028716438,0.00054604217,0.00013976253,0.00011030481,0.00081295765,0.00022724635,0.0000462045],"category_scores_gemma":[0.000049255414,0.00017403605,0.00015918828,0.0009613332,0.000054365446,0.00013801231,0.0007496826,0.00026946046,0.000021986447],"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":[0.000009965167,0.000022689048,0.0014988665,0.00009773388,0.000017298604,6.902866e-7,0.00010591361,0.9615654,0.000015556318,0.03643482,0.000027875558,0.00020321358],"study_design_scores_gemma":[0.00006693262,0.0000075953067,0.00010685503,0.0001052694,0.000052285483,7.775144e-8,0.00026728242,0.72796565,0.000011188181,0.27118182,0.00012000019,0.00011500769],"about_ca_topic_score_codex":0.00044122647,"about_ca_topic_score_gemma":0.000045370216,"teacher_disagreement_score":0.37295905,"about_ca_system_score_codex":0.000041811574,"about_ca_system_score_gemma":0.0000543685,"threshold_uncertainty_score":0.7096984},"labels":[],"label_agreement":null},{"id":"W4403050034","doi":"","title":"Evaluating the Hybrid Modelling Competition: A Step Towards Developing Good Modelling Practice","year":2024,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Competition (biology); Computer science; Good practice; Biochemical engineering; Engineering; Ecology; Biology; Engineering ethics","score_opus":0.12131374778803468,"score_gpt":0.3844085623189867,"score_spread":0.263094814530952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403050034","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020190056,0.00039439523,0.94794875,0.0018046622,0.00021460373,0.00029284062,0.00007984738,0.00012843609,0.02894641],"genre_scores_gemma":[0.88249654,0.000071260445,0.11675962,0.000154927,0.000028291317,0.000058725796,0.00024461444,0.000007130836,0.00017887975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964192,0.00009333914,0.0013019498,0.00035633423,0.0016220224,0.00020716766],"domain_scores_gemma":[0.99613965,0.0016479095,0.0004890032,0.00053150736,0.001113738,0.000078212324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044226833,0.00016294605,0.00024988814,0.00034880455,0.0004952951,0.0006960011,0.0005341383,0.0000724657,0.00006875558],"category_scores_gemma":[0.00050851767,0.000111873705,0.00012506217,0.0012687808,0.00037625057,0.0017491903,0.00023419099,0.00015386175,0.00002808331],"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":[0.000029242967,0.000047503243,0.000009001883,0.000030141056,0.000021534777,4.8961437e-7,0.00001798643,0.16112682,0.00008109989,0.8144981,0.0009745824,0.023163492],"study_design_scores_gemma":[0.00020049333,0.00013785114,0.00014859295,0.00018599277,0.00006973251,0.000044033295,0.00008527669,0.6855183,0.0023526966,0.026707144,0.2843193,0.00023057056],"about_ca_topic_score_codex":0.000032242,"about_ca_topic_score_gemma":0.0000025013874,"teacher_disagreement_score":0.8623065,"about_ca_system_score_codex":0.00005417417,"about_ca_system_score_gemma":0.00027565833,"threshold_uncertainty_score":0.67115545},"labels":[],"label_agreement":null},{"id":"W4403388697","doi":"10.1137/1.9781611978162","title":"Data-Driven Methods for Dynamic Systems","year":2024,"lang":"en","type":"book","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","score_opus":0.36870957484711,"score_gpt":0.48067202998550224,"score_spread":0.11196245513839226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403388697","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000848387,0.00035658653,0.8524135,0.0001993852,0.00066077797,0.007466443,0.00664244,0.00030934316,0.13194309],"genre_scores_gemma":[0.000045599612,0.000016155573,0.39879668,0.000071982366,0.0008910897,0.0016695622,0.0008316046,0.000115338175,0.597562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967286,0.000016897657,0.0013376889,0.0010475502,0.0005511685,0.000318096],"domain_scores_gemma":[0.9925492,0.004972514,0.0007250865,0.0013928158,0.00022832546,0.00013210317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043098354,0.0004224631,0.00097170466,0.00010908062,0.00037117628,0.0007593859,0.0012643624,0.0010434237,0.000013802048],"category_scores_gemma":[0.00028602825,0.0003202827,0.0006178596,0.00009892347,0.00020969709,0.000046303405,0.00058405637,0.000474378,0.000022901804],"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":[0.000008637107,0.000016114129,1.10475336e-8,0.00030091818,0.00019465976,4.2601737e-8,0.00033032292,0.000022694354,0.00008958697,0.50027907,0.411738,0.08701997],"study_design_scores_gemma":[0.00028300978,0.000021776077,4.1713024e-9,0.00008308594,0.00024879846,0.0000014007071,0.0003203699,0.070759445,0.000021610565,0.42654052,0.5015179,0.00020207657],"about_ca_topic_score_codex":0.0000010126125,"about_ca_topic_score_gemma":0.0000011297615,"teacher_disagreement_score":0.4656189,"about_ca_system_score_codex":0.00011517262,"about_ca_system_score_gemma":0.0004192537,"threshold_uncertainty_score":0.9999249},"labels":[],"label_agreement":null},{"id":"W4403529163","doi":"10.1007/978-3-031-75201-8_13","title":"A Case Study on AI to Automate Simulation Modelling","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Durham College; Ontario Tech University; Trent University","funders":"","keywords":"Computer science; Thesaurus; Information retrieval; Artificial intelligence","score_opus":0.27644236293651736,"score_gpt":0.4781235972173194,"score_spread":0.20168123428080204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403529163","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":[0.0041836007,0.00005858972,0.8005058,0.0018832869,0.0002847701,0.0022049726,0.000056492638,0.000329759,0.19049273],"genre_scores_gemma":[0.98046577,0.00004138548,0.014393952,0.0012262539,0.000038236532,0.00008871266,0.000013484246,0.000014730495,0.003717494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968239,0.000038413502,0.0013112002,0.00049697096,0.0011392969,0.00019018377],"domain_scores_gemma":[0.99499434,0.0009910414,0.00028299552,0.0027271006,0.00085381325,0.00015071758],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0030335253,0.00024192924,0.00029048277,0.0027411692,0.0006512678,0.0016016116,0.0018538266,0.00011312073,0.000026674392],"category_scores_gemma":[0.000117456,0.0002096586,0.000062667634,0.0012774499,0.00028998568,0.002719614,0.001487184,0.00045208467,0.00066507055],"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":[0.0000038671633,0.000042551204,0.00002731651,0.0000051687916,0.0000046693817,0.000008182165,0.0048421575,0.53541034,3.457072e-7,0.3273917,0.00035523993,0.1319084],"study_design_scores_gemma":[0.000098273435,0.000091207614,0.00004644567,0.00007074224,0.0000070576943,0.00005295721,0.000256983,0.86311877,0.000001067287,0.03340138,0.10265545,0.00019967546],"about_ca_topic_score_codex":0.00002757049,"about_ca_topic_score_gemma":0.0000122387055,"teacher_disagreement_score":0.9762822,"about_ca_system_score_codex":0.00016426726,"about_ca_system_score_gemma":0.00014175523,"threshold_uncertainty_score":0.9994348},"labels":[],"label_agreement":null},{"id":"W4403600537","doi":"10.1109/taes.2024.3475991","title":"Task Scheduling in Cognitive Multifunction Radar Using Model-Based DRL","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","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":"Defence Research and Development Canada; University of Toronto","funders":"Defence Research and Development Canada","keywords":"Computer science; Radar; Scheduling (production processes); Radar systems; Task (project management); Radar tracker; Processor scheduling; Engineering; Systems engineering; Telecommunications; Computer network","score_opus":0.08376724659772532,"score_gpt":0.3826835461094865,"score_spread":0.2989162995117612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403600537","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":[0.25548327,0.00066470425,0.7428031,0.00019520867,0.00021309132,0.00041275608,0.000019969724,0.00012300829,0.0000848809],"genre_scores_gemma":[0.99825174,0.000063573476,0.000663454,0.0000631561,0.00004196762,0.00012554489,0.0000023794455,0.000024530511,0.0007636663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805343,0.000100624246,0.0004476106,0.00057938177,0.00047783152,0.00034109395],"domain_scores_gemma":[0.9988776,0.000593514,0.00007415595,0.00025259418,0.00012378844,0.000078388446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094476365,0.00018073713,0.0002379152,0.00049170566,0.00025494542,0.00035717318,0.00012189538,0.00013929847,0.000026155385],"category_scores_gemma":[0.000021912163,0.00015626074,0.00010207062,0.0011114324,0.00005787141,0.0002309308,0.0000011997126,0.00037745788,0.0000390369],"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":[0.000052511994,0.00007672318,0.00004373729,0.00001906018,0.000021729846,0.0000017629735,0.0002826344,0.9713839,0.01111603,0.00092623755,0.000043975724,0.016031662],"study_design_scores_gemma":[0.0003741558,0.00007606353,0.000012384989,0.0001863978,0.000030352672,0.000009108294,0.0005693201,0.99225026,0.0050132074,0.0007563462,0.00055229437,0.00017012452],"about_ca_topic_score_codex":0.00023055375,"about_ca_topic_score_gemma":0.00015525657,"teacher_disagreement_score":0.74276847,"about_ca_system_score_codex":0.00025067222,"about_ca_system_score_gemma":0.00024818414,"threshold_uncertainty_score":0.6372128},"labels":[],"label_agreement":null},{"id":"W4403630287","doi":"10.1139/cjfr-2024-0070","title":"Small area estimators in a simulation test","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"HORIZON EUROPE Climate, Energy and Mobility; HORIZON EUROPE Framework Programme; Academy of Finland; European Commission","keywords":"Estimator; Statistics; Environmental science; Mathematics; Forestry; Geography","score_opus":0.4016587765808298,"score_gpt":0.5097578954854528,"score_spread":0.10809911890462298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403630287","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":[0.97831815,0.0005768306,0.011966603,0.003306753,0.0001418174,0.00023834482,0.000018523953,0.000013657554,0.005419331],"genre_scores_gemma":[0.99819374,0.0000044946837,0.0007802912,0.000026942413,0.000094096635,0.00000644459,0.0000012601168,0.000010098309,0.0008826579],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798596,0.00010847581,0.000590228,0.00018253158,0.00081141706,0.00032140117],"domain_scores_gemma":[0.99370825,0.0045253173,0.0000664421,0.0002713385,0.0009331175,0.0004955575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055298465,0.000065229,0.00013818615,0.0026157615,0.00014696845,0.0006377436,0.0006145219,0.00007441305,0.0004493388],"category_scores_gemma":[0.007687207,0.00004942862,0.000078188226,0.002618885,0.00014044867,0.00025080648,0.000021498081,0.00049558934,0.00013931228],"study_design_candidate":"observational","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":[0.000007717022,0.000025467507,0.76387626,0.000009335386,0.000006344604,0.00040845136,0.00067418313,0.13691825,0.00004120236,0.014278041,0.014274865,0.06947989],"study_design_scores_gemma":[0.0001676577,0.00015947418,0.30259007,0.00020686479,0.000003190329,0.000044531538,0.00031712212,0.33281168,0.0000754076,0.19135848,0.17214939,0.0001161406],"about_ca_topic_score_codex":0.0027533772,"about_ca_topic_score_gemma":0.08614193,"teacher_disagreement_score":0.4612862,"about_ca_system_score_codex":0.0002707436,"about_ca_system_score_gemma":0.001995748,"threshold_uncertainty_score":0.9305336},"labels":[],"label_agreement":null},{"id":"W4403864210","doi":"10.23919/annsim61499.2024.10732112","title":"Brooks-Iyengar Algorithm in pub/sub Architecture Using the DEVS Formalism","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Formalism (music); Architecture; Computer science; Algorithm; Theoretical computer science; Parallel computing; Modeling and simulation; History; Simulation; Art; Archaeology","score_opus":0.1306307388001709,"score_gpt":0.43940424434741915,"score_spread":0.30877350554724825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403864210","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":[0.048082218,0.0002455404,0.9334719,0.0033355486,0.00015397037,0.00034790701,0.000012576648,0.00021588184,0.014134418],"genre_scores_gemma":[0.9557756,0.000008664828,0.0409074,0.0007944409,0.00013685533,0.000035964335,0.0000028316183,0.000012756527,0.0023254748],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986317,0.000060066963,0.00036545785,0.0002730582,0.0004996696,0.00017000215],"domain_scores_gemma":[0.99871355,0.0007214206,0.000035585228,0.00041837353,0.000069287475,0.00004175454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012227336,0.00008775009,0.00010018643,0.00023571063,0.00014079752,0.00043294622,0.00046018098,0.000059961312,0.00034303393],"category_scores_gemma":[0.0001280133,0.000045654386,0.00008017819,0.001121154,0.00005533717,0.00018146393,0.00010926425,0.00020677426,0.00015419319],"study_design_candidate":"design_other","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":[0.0000016086491,0.000014496009,0.00016294816,0.0000022553866,0.000004873452,0.0000046962714,0.0008076933,0.0028901407,0.00086996594,0.046861734,0.00683752,0.9415421],"study_design_scores_gemma":[0.00006224747,0.000008856919,0.0006500303,0.000015184867,0.000004354018,0.00002323674,0.0003764715,0.50499475,0.0037993793,0.20622605,0.28372496,0.00011451298],"about_ca_topic_score_codex":0.00009278422,"about_ca_topic_score_gemma":0.00006857704,"teacher_disagreement_score":0.9414275,"about_ca_system_score_codex":0.00003214353,"about_ca_system_score_gemma":0.00005360851,"threshold_uncertainty_score":0.41749105},"labels":[],"label_agreement":null},{"id":"W4403920036","doi":"10.1109/sm63044.2024.10733377","title":"Learning Assisted Simulation-Optimization Framework for Resilient Freight Transport Corridors","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Transport engineering; Engineering","score_opus":0.11129482466324875,"score_gpt":0.4360190566700408,"score_spread":0.32472423200679207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403920036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036772771,0.00007345345,0.9887108,0.0010014442,0.00023370268,0.00053995295,0.00001780433,0.0006278948,0.0051176734],"genre_scores_gemma":[0.8217461,0.000007573988,0.16936828,0.00014692034,0.000104614526,0.000096766846,0.000054362208,0.000020373858,0.008455021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802375,0.000047635105,0.0006230217,0.00050953036,0.0006276182,0.00016846161],"domain_scores_gemma":[0.99532866,0.0037798085,0.00009724497,0.00035640394,0.00035686378,0.00008099715],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00096368603,0.00012240438,0.00016377169,0.00028032702,0.00028115188,0.00027580396,0.00026703317,0.00014222722,0.0023327693],"category_scores_gemma":[0.0011219402,0.00009257652,0.00017120934,0.0012060958,0.00003689241,0.00025554013,0.000017269476,0.00015955103,0.00012165323],"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":[0.000010024909,0.000018223878,0.0008508766,0.0000043227265,0.0000070787737,4.8239707e-7,0.00014470628,0.9187701,0.000017643932,0.051257513,0.001478317,0.027440727],"study_design_scores_gemma":[0.00006449195,0.00003787125,0.0011003545,0.000027772685,0.00001533795,6.1861095e-7,0.00012331952,0.8363713,0.0001494128,0.066494346,0.0955039,0.00011127126],"about_ca_topic_score_codex":0.000006911387,"about_ca_topic_score_gemma":0.0000035885937,"teacher_disagreement_score":0.8193425,"about_ca_system_score_codex":0.000041582403,"about_ca_system_score_gemma":0.000055569988,"threshold_uncertainty_score":0.9985792},"labels":[],"label_agreement":null},{"id":"W4403935757","doi":"10.1145/3652620.3688340","title":"Towards Rapid Design of Compartmental Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"York University; McGill University; Université de Montréal","funders":"Wellcome Trust","keywords":"Computer science","score_opus":0.4073043838961123,"score_gpt":0.4747554552943753,"score_spread":0.06745107139826301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403935757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016843318,0.00015656425,0.9371506,0.00056620286,0.000045168377,0.00016391028,0.000009985626,0.00012809632,0.060095143],"genre_scores_gemma":[0.9573495,0.000010706252,0.04007965,0.00009551254,0.0000146137145,0.000017341164,0.0000017486306,0.0000036357294,0.0024272986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902385,0.000032464515,0.0002917635,0.000171639,0.00041938238,0.000060883383],"domain_scores_gemma":[0.99925965,0.00036707404,0.000027016787,0.00023669365,0.0000779226,0.000031657775],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006869506,0.00004459138,0.00009388298,0.000113122216,0.000028624125,0.00008411855,0.00023087469,0.000022425254,0.002155409],"category_scores_gemma":[0.000027790065,0.000028668368,0.000058215683,0.0004388775,0.000036942587,0.00016554969,0.00004017134,0.000028412198,0.0001811713],"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":[0.0000058945766,0.000048631373,0.000023015065,0.000002710353,0.000009917855,7.2382846e-7,0.00017982,0.020527262,0.0018113826,0.59393317,0.17355847,0.209899],"study_design_scores_gemma":[0.000027329235,0.000019567571,0.00004422555,0.0000031842235,0.0000022465422,9.545597e-7,0.000060880102,0.6004971,0.01061051,0.37175405,0.016947962,0.00003198378],"about_ca_topic_score_codex":0.000007214379,"about_ca_topic_score_gemma":2.3213062e-7,"teacher_disagreement_score":0.9556652,"about_ca_system_score_codex":0.000010555581,"about_ca_system_score_gemma":0.000035446283,"threshold_uncertainty_score":0.99875677},"labels":[],"label_agreement":null},{"id":"W4404527384","doi":"10.1145/3687946","title":"Trading Spaces: Adaptive Subspace Time Integration for Contacting Elastodynamics","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Canada Research Chairs","keywords":"Subspace topology; Computer science; Algorithm; Artificial intelligence","score_opus":0.11127334329563668,"score_gpt":0.39384024087495745,"score_spread":0.28256689757932074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404527384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010070351,0.000057422596,0.984034,0.0035117646,0.00027609736,0.00060015445,0.00015219738,0.00043865992,0.00085933786],"genre_scores_gemma":[0.9716195,0.000029776014,0.02623486,0.00019318356,0.000057141362,0.0002007796,0.00001786423,0.00003298128,0.0016139202],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981766,0.00006556534,0.00046393453,0.000540844,0.00053177384,0.00022129223],"domain_scores_gemma":[0.99467814,0.004204055,0.00010405211,0.0006341175,0.00028829568,0.00009131252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010867679,0.00018527686,0.00020745718,0.0006852286,0.00047679126,0.00048046955,0.00047415603,0.00015585528,0.00017517601],"category_scores_gemma":[0.00035701555,0.0001550174,0.00031007416,0.001714184,0.00007852069,0.00047439022,0.0000049433943,0.00033878398,0.00009241238],"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":[0.00018998035,0.00026288413,0.000044247485,0.000023095163,0.00017172527,0.0000034815014,0.002766639,0.00706866,0.0070773177,0.37789905,0.005317719,0.59917516],"study_design_scores_gemma":[0.00017285925,0.00019314484,0.000053248004,0.00007246759,0.00005716831,0.00000673291,0.0009605983,0.73099285,0.0025613995,0.24583265,0.018878585,0.0002183175],"about_ca_topic_score_codex":0.000018858922,"about_ca_topic_score_gemma":0.00008866791,"teacher_disagreement_score":0.96154916,"about_ca_system_score_codex":0.0000851197,"about_ca_system_score_gemma":0.00006873741,"threshold_uncertainty_score":0.6321426},"labels":[],"label_agreement":null},{"id":"W4404569055","doi":"10.48550/arxiv.2411.09731","title":"To bootstrap or to rollout? An optimal and adaptive interpolation","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Interpolation (computer graphics); Computer science; Econometrics; Mathematics; Artificial intelligence","score_opus":0.35962396222213017,"score_gpt":0.34679663202463196,"score_spread":0.01282733019749821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404569055","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":[0.6172373,0.00001157615,0.37840733,0.00040500663,0.00014475359,0.0006530944,0.00009248196,0.00019343555,0.0028549666],"genre_scores_gemma":[0.9870245,0.0000076977485,0.0062727276,0.000236242,0.000078125144,0.0000063300836,0.000009587886,0.000019462548,0.0063453345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979395,0.000090240435,0.00031824977,0.0012623157,0.00019644358,0.00019323832],"domain_scores_gemma":[0.99811566,0.00025841524,0.00012399448,0.00085930753,0.00029182824,0.00035078905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055127544,0.00022672709,0.00027767324,0.0006834605,0.00012704224,0.0003470505,0.0008016048,0.00020160982,0.00037110044],"category_scores_gemma":[0.00015800627,0.00020041873,0.00010761664,0.0011329633,0.000056283083,0.0001894599,0.0015770316,0.0003232299,0.00042192804],"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":[0.0013078006,0.00019931576,0.0024601358,0.000027321217,0.00011361302,0.0001363338,0.0042226715,0.73199147,0.0004164313,0.20974284,0.010844835,0.038537204],"study_design_scores_gemma":[0.00020561188,0.00041218524,0.0035144323,0.00010555082,0.000083436746,0.0000038164303,0.0020820175,0.7971059,0.00022945914,0.1856728,0.010017062,0.000567704],"about_ca_topic_score_codex":0.00010419513,"about_ca_topic_score_gemma":0.00014208173,"teacher_disagreement_score":0.3721346,"about_ca_system_score_codex":0.000101043704,"about_ca_system_score_gemma":0.000117636984,"threshold_uncertainty_score":0.8172838},"labels":[],"label_agreement":null},{"id":"W4404571120","doi":"10.48550/arxiv.2411.11614","title":"On the physics of nested Markov models: a generalized probabilistic theory perspective","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Colleges and Universities; Institut Périmètre de physique théorique; National Natural Science Foundation of China; Government of Canada","keywords":"Perspective (graphical); Probabilistic logic; Statistical physics; Markov chain; Mathematics; Computer science; Econometrics; Mathematical economics; Physics; Statistics; Artificial intelligence","score_opus":0.25987123421445607,"score_gpt":0.29957238067317193,"score_spread":0.039701146458715864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404571120","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":[0.50516915,0.000107422624,0.43615738,0.00094995974,0.00023295917,0.0016487364,0.00021484676,0.00028833764,0.055231217],"genre_scores_gemma":[0.99419117,0.000027788328,0.00030087592,0.000106488216,0.000051058618,0.000009793272,0.0000065557806,0.000020771755,0.0052854707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978664,0.00042268628,0.00033268708,0.0009333821,0.00028638446,0.00015848856],"domain_scores_gemma":[0.99513245,0.0021779581,0.0003454807,0.0015448277,0.00073706766,0.00006222063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011759102,0.00023496803,0.00033591865,0.00020729897,0.00013557528,0.00010988721,0.0012995875,0.00017701615,0.00022663176],"category_scores_gemma":[0.0005343177,0.0001629397,0.0003680057,0.0011965699,0.00029765224,0.00007204828,0.0009865025,0.00049877254,0.00009573586],"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":[0.000043157943,0.000052541876,0.000008811155,0.000007715838,0.00003437465,0.0000035253986,0.00030208495,0.31628656,0.000009139421,0.682263,0.00072123046,0.00026783688],"study_design_scores_gemma":[0.00006993219,0.000015393744,0.00002142841,0.00003449285,0.000056491128,2.4381552e-7,0.0005250478,0.40392733,0.000047117603,0.5951495,0.000050347375,0.00010262335],"about_ca_topic_score_codex":0.00009903631,"about_ca_topic_score_gemma":0.000010321516,"teacher_disagreement_score":0.48902208,"about_ca_system_score_codex":0.00018985607,"about_ca_system_score_gemma":0.00019777195,"threshold_uncertainty_score":0.6644488},"labels":[],"label_agreement":null},{"id":"W4404926300","doi":"10.1177/00375497241291871","title":"100 volumes of SIMULATION—20 years of DEVS research","year":2024,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Modeling and simulation; Simulation","score_opus":0.37502012036075866,"score_gpt":0.578750852890615,"score_spread":0.20373073252985635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404926300","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":[0.7157316,0.00036426404,0.27601877,0.00034501724,0.00018957094,0.00065072643,0.00006346706,0.00017761263,0.0064589484],"genre_scores_gemma":[0.996322,0.00000485539,0.0016495003,0.0000112399375,0.0000816678,0.000011573151,0.000015725916,0.000014796142,0.0018886804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970362,0.00016668401,0.0008078598,0.00034241285,0.0014906971,0.0001561498],"domain_scores_gemma":[0.9920732,0.0060798377,0.0001450379,0.0005651719,0.0010862566,0.00005049956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027611337,0.000077625904,0.00019348673,0.00078239973,0.00008069891,0.0001015422,0.00035706974,0.000106342064,0.00060156826],"category_scores_gemma":[0.0019189212,0.000071187664,0.00011836455,0.0024447297,0.00014842865,0.00033366636,0.00008869676,0.0001369409,0.00019096259],"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":[0.000013142879,0.000030757965,0.001572208,0.0000117707705,0.000008870393,4.446527e-7,0.00045666582,0.8264442,0.0012624785,0.012151808,0.00071133877,0.15733631],"study_design_scores_gemma":[0.00008659225,0.000042629927,0.010122796,0.00002881376,0.000006561473,1.5562033e-7,0.000108075066,0.85163224,0.0017088177,0.07589609,0.06030355,0.00006367346],"about_ca_topic_score_codex":0.00004032965,"about_ca_topic_score_gemma":0.000007798205,"teacher_disagreement_score":0.28059033,"about_ca_system_score_codex":0.000040984734,"about_ca_system_score_gemma":0.00010567579,"threshold_uncertainty_score":0.6586751},"labels":[],"label_agreement":null},{"id":"W4405131433","doi":"10.1007/978-3-031-71400-9_2","title":"Modelling Homogeneous and Heterogeneous Systems","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Homogeneous; Computer science; Statistical physics; Physics","score_opus":0.16224603224805922,"score_gpt":0.36460433876820325,"score_spread":0.20235830652014403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405131433","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000053449206,0.0055718073,0.15367037,0.00013097555,0.0002193964,0.0004135688,0.000078105986,0.00030253018,0.8395598],"genre_scores_gemma":[0.08030507,0.000339792,0.0009495736,0.000060252005,0.00016441876,0.00002403036,0.00000922562,0.000048420028,0.9180992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977712,0.000007485569,0.00065715564,0.000704028,0.0007268134,0.00013333111],"domain_scores_gemma":[0.9984704,0.00035668068,0.00014870586,0.00070643314,0.00020625882,0.000111473404],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003962135,0.00023807018,0.00034576742,0.00030840057,0.00010676684,0.0006082191,0.0003451238,0.0002767837,0.0006507427],"category_scores_gemma":[0.000012594679,0.00017279094,0.00014585587,0.00006168226,0.00006667614,0.000044428136,0.00017476673,0.00017763964,0.0014210823],"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":[0.0000015969243,0.0000027191054,6.3008247e-7,0.000011323915,0.00002390709,0.00001887124,0.00002558154,0.11622348,0.0000033729816,0.87094283,0.004664476,0.008081199],"study_design_scores_gemma":[0.000011825407,0.000009504502,1.261271e-8,0.000022922613,0.000014875573,0.00005002182,0.000005156511,0.2871092,0.0000083758,0.2912304,0.42142355,0.0001141266],"about_ca_topic_score_codex":0.000030628795,"about_ca_topic_score_gemma":0.0000038130422,"teacher_disagreement_score":0.57971245,"about_ca_system_score_codex":0.000030107742,"about_ca_system_score_gemma":0.000026037278,"threshold_uncertainty_score":0.99935645},"labels":[],"label_agreement":null},{"id":"W4405179640","doi":"10.1109/tie.2024.3503633","title":"Cloud-Based Self-Triggered Cooperative Path Following of Underactuated USVs With Multimodel Extended State Observers","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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 Victoria","funders":"Dalian Science and Technology Innovation Fund; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Underactuation; Cloud computing; Control theory (sociology); Computer science; Path (computing); State (computer science); Artificial intelligence; Control (management); Algorithm; Computer network","score_opus":0.09729008999083182,"score_gpt":0.36014985717248216,"score_spread":0.26285976718165033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405179640","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":[0.22189264,0.000078958255,0.77589685,0.00035565867,0.00035222928,0.0007924491,0.00014326468,0.00038469458,0.00010324406],"genre_scores_gemma":[0.9972693,0.00003844437,0.001965627,0.00007902857,0.000041857482,0.00012065705,0.000014951401,0.00004302736,0.00042711876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968648,0.00022189271,0.00081299123,0.00064602366,0.0010522774,0.00040200923],"domain_scores_gemma":[0.9972317,0.0015131051,0.00019069188,0.0005698768,0.00036195302,0.00013262284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009390991,0.00028526213,0.00042673468,0.00043692326,0.0003102172,0.0002474807,0.00040244256,0.00023341062,0.00019648588],"category_scores_gemma":[0.00005939037,0.00021769557,0.00029687354,0.0024621387,0.00007204097,0.0003424171,0.000001962858,0.0007704899,0.000051846913],"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":[0.0010338135,0.000784672,0.000019836056,0.000012035308,0.00046020135,0.00001959209,0.0005515286,0.9064508,0.003989551,0.002126538,0.0009903089,0.083561115],"study_design_scores_gemma":[0.0032511568,0.0016901908,0.000008822248,0.00015510355,0.00023336527,0.0000053671015,0.00021195339,0.78704536,0.19419536,0.0032062216,0.009489612,0.00050745363],"about_ca_topic_score_codex":0.00007118739,"about_ca_topic_score_gemma":0.00009785346,"teacher_disagreement_score":0.7753767,"about_ca_system_score_codex":0.00035856944,"about_ca_system_score_gemma":0.0015223986,"threshold_uncertainty_score":0.8877368},"labels":[],"label_agreement":null},{"id":"W4405440513","doi":"10.1109/pst62714.2024.10788056","title":"DevilDiffusion: Embedding Hidden Noise Backdoors into Diffusion Models","year":2024,"lang":"en","type":"article","venue":"","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":"University of Ottawa","funders":"","keywords":"Computer science; Noise (video); Embedding; Diffusion; Computer security; Artificial intelligence; Physics","score_opus":0.10310664797928573,"score_gpt":0.43010047089133874,"score_spread":0.32699382291205303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405440513","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":[0.19139598,0.00035325353,0.7204548,0.0038436607,0.00029519002,0.00035834886,0.0000056503022,0.0008690452,0.082424045],"genre_scores_gemma":[0.9593065,0.000054149867,0.026435668,0.0003941431,0.00013242554,0.000046380697,0.0000063577413,0.000019683195,0.0136046875],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760103,0.000052777457,0.00058158376,0.0006133079,0.00095596095,0.00019533448],"domain_scores_gemma":[0.9981862,0.0007674868,0.000057809386,0.0006654193,0.00017826431,0.00014486651],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009251555,0.00014979613,0.00018345937,0.00035280382,0.00025918506,0.0006181368,0.0006001248,0.00010385681,0.003740559],"category_scores_gemma":[0.00017910259,0.00009931855,0.00015578642,0.0012482484,0.000052914213,0.0007231674,0.00030017548,0.000138369,0.0015989428],"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":[0.0000064760943,0.00005769811,0.0002761041,0.0000089034575,0.000007594184,0.0000067400647,0.0009818663,0.0018307746,0.0056953914,0.35510784,0.03572743,0.60029316],"study_design_scores_gemma":[0.00005146429,0.000010878036,0.00013684703,0.000019177394,0.0000048896554,0.0000035919663,0.0002517371,0.57362235,0.00075769424,0.32923862,0.095786326,0.000116456904],"about_ca_topic_score_codex":0.0000697262,"about_ca_topic_score_gemma":0.00001573269,"teacher_disagreement_score":0.76791054,"about_ca_system_score_codex":0.000054987053,"about_ca_system_score_gemma":0.00004414171,"threshold_uncertainty_score":0.9991784},"labels":[],"label_agreement":null},{"id":"W4405601759","doi":"10.1109/rws62797.2024.10799344","title":"Data-Driven Approximation of Formal Implicit Interaction Analysis for Cyber-Physical System Designs","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Cégep de l'Outaouais; Carleton University","funders":"U.S. Department of Homeland Security","keywords":"Cyber-physical system; Computer science; Theoretical computer science; Human–computer interaction; Operating system","score_opus":0.2659671819679146,"score_gpt":0.47986752375779745,"score_spread":0.21390034178988288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405601759","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":[0.037665583,0.00000610703,0.9583689,0.00020624211,0.00005437014,0.00041713865,0.0002496499,0.00017798637,0.0028540068],"genre_scores_gemma":[0.9782855,5.9443425e-7,0.020969534,0.000015644167,0.00007627623,0.00009633758,0.00021017162,0.000006667542,0.00033931027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985138,0.000037130456,0.0005370655,0.00038439324,0.00041714185,0.000110478264],"domain_scores_gemma":[0.9976753,0.0011403753,0.00014707108,0.00073738955,0.0002511821,0.000048702863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009604354,0.00007763831,0.00023048761,0.00043114685,0.00008179342,0.00020209387,0.0004926319,0.000041582716,0.00006812417],"category_scores_gemma":[0.00018954289,0.000053706466,0.00019388786,0.0015292424,0.000020894915,0.0008746076,0.00011500741,0.000047341367,0.00004852004],"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":[0.000038693997,0.00013192857,0.00069161586,0.000084740816,0.0004072279,3.350883e-7,0.0005208243,0.02694616,0.008161492,0.82497686,0.014049793,0.12399031],"study_design_scores_gemma":[0.000048614264,0.000029209503,0.0004385159,0.000009431473,0.00017145881,0.0000011431192,0.0005513213,0.9831398,0.0030364557,0.0060155257,0.006497123,0.00006139848],"about_ca_topic_score_codex":0.000032775737,"about_ca_topic_score_gemma":0.000016430835,"teacher_disagreement_score":0.9561936,"about_ca_system_score_codex":0.00004245903,"about_ca_system_score_gemma":0.00003448825,"threshold_uncertainty_score":0.21900861},"labels":[],"label_agreement":null},{"id":"W4405975327","doi":"10.1109/sec62691.2024.00026","title":"Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge","year":2024,"lang":"en","type":"article","venue":"","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":"McGill University; University of Toronto","funders":"","keywords":"Stateful firewall; Control reconfiguration; Computer science; Enhanced Data Rates for GSM Evolution; Stream processing; Computer network; Operating system; Embedded system; Artificial intelligence","score_opus":0.2311812133212135,"score_gpt":0.4619838669333694,"score_spread":0.2308026536121559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405975327","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":[0.049804147,0.00017543325,0.76834035,0.037717015,0.00028111652,0.0018218418,0.000074374926,0.0006831504,0.1411026],"genre_scores_gemma":[0.9830909,0.000004939124,0.0015311255,0.000595718,0.000105666935,0.00020890177,0.00000824817,0.000007760238,0.014446782],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904233,0.00002666277,0.0002754436,0.0002743125,0.00028792216,0.00009330549],"domain_scores_gemma":[0.9977627,0.0016942297,0.000051893123,0.00025513084,0.00020896079,0.000027104843],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00086397084,0.00006602139,0.000067839464,0.000082482846,0.00020576565,0.0006631954,0.00022871722,0.000035496658,0.0011775135],"category_scores_gemma":[0.00033141032,0.000033011762,0.00006152871,0.00036548267,0.000029891262,0.0001912522,0.000014062097,0.00005859424,0.00048655903],"study_design_candidate":"design_other","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":[0.000005732208,0.00001566929,0.000018431268,0.000003731631,0.0000032403213,1.6508103e-7,0.0004151648,0.00008373142,0.0002855255,0.2119292,0.09088387,0.6963555],"study_design_scores_gemma":[0.00005390152,0.00008005583,0.00018255271,0.000028919289,0.0000059956433,0.0000011355144,0.0014175453,0.16317222,0.011111565,0.30400977,0.5198376,0.00009876971],"about_ca_topic_score_codex":0.000006801592,"about_ca_topic_score_gemma":0.000011180674,"teacher_disagreement_score":0.9332867,"about_ca_system_score_codex":0.000019769042,"about_ca_system_score_gemma":0.000056601246,"threshold_uncertainty_score":0.99973553},"labels":[],"label_agreement":null},{"id":"W4406398694","doi":"10.3390/jrfm18010034","title":"Historical Simulation Systematically Underestimates the Expected Shortfall","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad de Zaragoza","keywords":"Econometrics; Computer science; Expected shortfall; Economics; Risk management; Finance","score_opus":0.04593571651934442,"score_gpt":0.3627086330855366,"score_spread":0.31677291656619216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406398694","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":[0.03283211,0.0005308831,0.96365005,0.0010666441,0.00020045559,0.0002252043,9.510326e-7,0.000013957101,0.0014797688],"genre_scores_gemma":[0.9949002,0.00010007765,0.0042404453,0.000105300045,0.00005641639,0.0000071068994,1.1215528e-7,0.0000023826144,0.0005879411],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850345,0.00008795961,0.00075266184,0.000116611955,0.00046102607,0.00007826606],"domain_scores_gemma":[0.998045,0.0010642644,0.0003666108,0.00021783373,0.00027305284,0.00003322809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001482471,0.000067429806,0.00020108491,0.00023747493,0.00021050319,0.00012952516,0.00029630313,0.000037535643,0.000013866078],"category_scores_gemma":[0.0011075324,0.000037317135,0.00008721749,0.00052109384,0.000030436018,0.00009077242,0.00008035395,0.00010789384,0.00000371488],"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":[0.00010151262,0.00016643743,0.026110396,0.000046733723,0.000034176242,0.000011422514,0.00051304896,0.026066396,0.000008942569,0.3499016,0.025780447,0.5712589],"study_design_scores_gemma":[0.000430273,0.000073173294,0.23409061,0.000117351374,0.00013884706,0.0000047924286,0.0005207158,0.02480936,0.000011150635,0.42657584,0.3131208,0.00010709662],"about_ca_topic_score_codex":0.00001009264,"about_ca_topic_score_gemma":0.0000056479334,"teacher_disagreement_score":0.9620681,"about_ca_system_score_codex":0.000084523606,"about_ca_system_score_gemma":0.000020647536,"threshold_uncertainty_score":0.16190417},"labels":[],"label_agreement":null},{"id":"W4406498075","doi":"10.1016/0967-0653(96)86072-8","title":"10.1016/0967-0653(96)86072-8","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science; Business","score_opus":0.03918879088994683,"score_gpt":0.29691003537923116,"score_spread":0.25772124448928435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406498075","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038915433,0.000015152851,0.000119190816,0.0011100258,0.0000010030647,0.00024111319,0.000021041633,0.00022332232,0.99788],"genre_scores_gemma":[0.0013762498,1.1365474e-7,0.0008175495,0.00012975952,0.00008946402,0.00004580288,0.000008514433,0.000012633108,0.9975199],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984359,0.000048604696,0.00037655336,0.0003571002,0.0005891352,0.00019271945],"domain_scores_gemma":[0.9986074,0.00032640126,0.000056464945,0.0007056903,0.00014898158,0.00015507503],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000609509,0.00010536856,0.00015680607,0.00013612198,0.00014795968,0.00016524953,0.0006309445,0.000061892046,0.9990911],"category_scores_gemma":[0.00021385228,0.000085292064,0.00008254061,0.0008035991,0.000037976402,0.00014758804,0.00005895272,0.000075602555,0.9987962],"study_design_candidate":"not_applicable","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":[0.000007157524,0.000018171473,2.5056931e-7,1.4530107e-7,0.0000013044129,2.9796544e-7,0.000007923034,0.00014336566,0.000012795523,0.000020365762,0.3897141,0.61007416],"study_design_scores_gemma":[0.000080620746,0.0000415871,0.00006805135,0.000003034388,0.000003647569,0.0000022513836,0.0000019276931,0.0014643251,0.00026118456,0.0014605845,0.996494,0.00011881934],"about_ca_topic_score_codex":0.000014105747,"about_ca_topic_score_gemma":1.5174668e-7,"teacher_disagreement_score":0.6099553,"about_ca_system_score_codex":0.000022131298,"about_ca_system_score_gemma":0.00002289363,"threshold_uncertainty_score":0.34781095},"labels":[],"label_agreement":null},{"id":"W4406669844","doi":"10.1016/b978-0-08-092870-8.50023-9","title":"10.1016/b978-0-08-092870-8.50023-9","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.05305243377125354,"score_gpt":0.29532685778602935,"score_spread":0.2422744240147758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406669844","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.6130575e-7,0.000058629597,0.00008241148,0.00057368545,0.000002898601,0.00061242556,0.00020380237,0.00034438082,0.9981214],"genre_scores_gemma":[0.0000067557335,6.1791445e-7,0.0006456851,0.00015378346,0.0002849919,0.000056257217,0.00008622352,0.000074685166,0.998691],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966419,0.000029238088,0.00088993146,0.000858499,0.001290905,0.0002895737],"domain_scores_gemma":[0.9969883,0.0005308149,0.00029851633,0.0015593034,0.0003534752,0.00026959906],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00067124655,0.00038195457,0.0005366426,0.0005392545,0.00019217344,0.00027029664,0.0012876543,0.00038746992,0.9993149],"category_scores_gemma":[0.00016149202,0.0003324472,0.00030659343,0.00024133881,0.00009944939,0.000121403515,0.0002127147,0.00029504055,0.9989221],"study_design_candidate":"not_applicable","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":[0.000011413867,0.000008628275,6.5389747e-9,6.283249e-7,0.000007561243,0.0000015466536,0.000003701001,0.00003279037,0.0000028958416,0.0006565521,0.46604583,0.53322846],"study_design_scores_gemma":[0.00009253253,0.000067549125,0.000002908133,0.000027419603,0.000024379548,0.0000056014464,4.0779557e-7,0.00019728203,0.000015611788,0.023409802,0.9757674,0.00038910215],"about_ca_topic_score_codex":0.0000072867033,"about_ca_topic_score_gemma":2.7121413e-7,"teacher_disagreement_score":0.53283936,"about_ca_system_score_codex":0.00006849519,"about_ca_system_score_gemma":0.00007968111,"threshold_uncertainty_score":0.99991274},"labels":[],"label_agreement":null},{"id":"W4407384743","doi":"10.48550/arxiv.2502.05349","title":"Contextual Scenario Generation for Two-Stage Stochastic Programming","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Korea Advanced Institute of Science and Technology; University of Toronto","keywords":"Stochastic programming; Computer science; Stage (stratigraphy); Mathematical optimization; Mathematics; Biology","score_opus":0.33916698648504096,"score_gpt":0.34140400967921736,"score_spread":0.002237023194176402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407384743","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":[0.059983812,0.00002363519,0.93644196,0.00014276394,0.0002905405,0.0015251717,0.00020455841,0.0002013548,0.0011862123],"genre_scores_gemma":[0.96786755,0.000003973751,0.003991806,0.000110616806,0.0001537605,0.000027625403,0.00012273318,0.000011932672,0.02771002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785244,0.00009991869,0.00044594717,0.001151679,0.00019587505,0.00025411407],"domain_scores_gemma":[0.9969324,0.00072830904,0.00041007582,0.0010545985,0.00076342234,0.000111208006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009077874,0.00023913528,0.00034237665,0.0004181692,0.00035807557,0.00029331882,0.0010071517,0.00023990539,0.00011446975],"category_scores_gemma":[0.0005474118,0.00024586837,0.00029167323,0.0006959281,0.00011013098,0.00016797977,0.0005767829,0.00028755312,0.000043614556],"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":[0.000037038906,0.00007361585,0.00026794217,0.0000146986895,0.000032548603,0.0000030940607,0.000118874275,0.70243114,0.00007784105,0.28303155,0.0019062589,0.012005404],"study_design_scores_gemma":[0.00054459134,0.00003447214,0.000044918623,0.000033014454,0.00006712823,3.1396124e-7,0.00023585813,0.9352481,0.00015820206,0.046063416,0.017292067,0.0002779412],"about_ca_topic_score_codex":0.00013289116,"about_ca_topic_score_gemma":0.00021398722,"teacher_disagreement_score":0.9324502,"about_ca_system_score_codex":0.00017534298,"about_ca_system_score_gemma":0.00028868194,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W4407413773","doi":"10.2514/6.2025-1786","title":"A Systems Engineering Approach to Data Exchange Enabling Timely and Accurate Fleet Analytics and Lifecycle Management","year":2025,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Analytics; Application lifecycle management; System lifecycle; Data science; Fleet management; Systems engineering; Engineering; Software","score_opus":0.2039499575227634,"score_gpt":0.4134678626700003,"score_spread":0.2095179051472369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407413773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006750858,0.0003577875,0.9599265,0.0005184141,0.000045172932,0.0006007157,0.000024845842,0.00012222795,0.031653512],"genre_scores_gemma":[0.9554154,0.00008380985,0.0351867,0.0002549476,0.000029908255,0.000061281506,0.000013452021,0.0000067539627,0.008947697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889195,0.000017266904,0.0002859903,0.00043887476,0.00024623587,0.00011968811],"domain_scores_gemma":[0.9988493,0.00023093336,0.00004057342,0.00074200745,0.00006114774,0.00007607862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010256086,0.00008240257,0.00014125342,0.0003154196,0.000088382505,0.00045312592,0.00043760767,0.00003169722,0.000013137848],"category_scores_gemma":[0.00013866115,0.000063988264,0.0000107359465,0.0008164041,0.000011931394,0.00018438746,0.00073663663,0.00004013511,0.000010780428],"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":[0.000030156483,0.00023050634,0.004207665,0.0004751697,0.00024294243,0.0000048582206,0.0007769246,0.064742304,0.00051991106,0.461292,0.21049292,0.25698465],"study_design_scores_gemma":[0.00009649044,0.0000049557234,0.0016554062,0.000018383183,0.000015193829,9.619278e-7,0.0004197154,0.866682,0.000030186075,0.00059318164,0.13040257,0.00008099082],"about_ca_topic_score_codex":0.000027736467,"about_ca_topic_score_gemma":0.0000018921094,"teacher_disagreement_score":0.9486646,"about_ca_system_score_codex":0.000011296787,"about_ca_system_score_gemma":0.00000619779,"threshold_uncertainty_score":0.4369504},"labels":[],"label_agreement":null},{"id":"W4407572054","doi":"10.52041/iase2023.401","title":"Flexible deadlines and statistical communication","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Distributed computing","score_opus":0.18735998600678636,"score_gpt":0.5185185645618514,"score_spread":0.33115857855506503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407572054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008354047,0.00051415537,0.9424358,0.0050843633,0.000028805598,0.00010769902,0.000014399905,0.00033581787,0.04312493],"genre_scores_gemma":[0.9488137,0.00004361621,0.043141406,0.00017864861,0.000016879325,0.000015396568,0.0000066512343,0.0000036541196,0.0077800923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933296,0.000031440064,0.00019997513,0.00016281189,0.00022032573,0.000052466745],"domain_scores_gemma":[0.9981954,0.0013834531,0.000013380955,0.0002964325,0.00007310778,0.000038210615],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060947693,0.00003659128,0.000055223445,0.00008315106,0.00008007605,0.00034053763,0.00015797197,0.000024178531,0.0011051233],"category_scores_gemma":[0.00023108795,0.000024123694,0.00001366521,0.00030605445,0.000060969745,0.00013068797,0.000066208326,0.000046092224,0.00032978825],"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":[6.575466e-7,0.0000046743007,0.0003976102,0.0000010432951,0.0000010981075,1.849135e-7,0.000037849728,0.0000073611827,0.00006678411,0.79814863,0.03538308,0.165951],"study_design_scores_gemma":[0.000022010887,0.0000074012614,0.0039033426,0.0000043869372,0.000002504539,0.0000031879458,0.0000843883,0.04669586,0.00048846833,0.5793959,0.3693511,0.00004149518],"about_ca_topic_score_codex":0.000025194691,"about_ca_topic_score_gemma":0.000007737961,"teacher_disagreement_score":0.9404596,"about_ca_system_score_codex":0.000005434264,"about_ca_system_score_gemma":0.000014497979,"threshold_uncertainty_score":0.999808},"labels":[],"label_agreement":null},{"id":"W4407950923","doi":"10.1109/cdc56724.2024.10886695","title":"Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"CODE","keywords":"Computer science; Task (project management); Multi-agent system; Distributed computing; Real-time computing; Artificial intelligence; Engineering","score_opus":0.23527942548094513,"score_gpt":0.43261273492648994,"score_spread":0.1973333094455448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407950923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023607917,0.00012452318,0.9917852,0.0013794006,0.00029481712,0.0015130765,0.00027969247,0.0006566616,0.0016057867],"genre_scores_gemma":[0.9532568,0.00003547923,0.010762582,0.00004738477,0.00017992777,0.00074510416,0.000111747366,0.000030282901,0.034830723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99767584,0.00008837531,0.0007466858,0.00066128455,0.0006181609,0.00020966365],"domain_scores_gemma":[0.9962667,0.002050947,0.00017891248,0.00083150726,0.00054986164,0.00012203278],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013878429,0.00015668133,0.00019821561,0.0003151994,0.00032863618,0.0006567358,0.00046486105,0.00010200219,0.0004443393],"category_scores_gemma":[0.00036426444,0.00011759471,0.00014893049,0.00087819394,0.00005549105,0.00024279224,0.000051796804,0.00009455399,0.0022260796],"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":[0.000019902232,0.00034538796,0.0001371178,0.000037805912,0.00010624086,7.898898e-7,0.0007449064,0.14653446,0.008690557,0.56941444,0.23536728,0.03860111],"study_design_scores_gemma":[0.00015560108,0.000030053954,0.002014384,0.000022627864,0.000038427446,0.0000024208782,0.00076847896,0.9326694,0.000121244106,0.016984014,0.047004696,0.00018863815],"about_ca_topic_score_codex":0.00015887881,"about_ca_topic_score_gemma":0.000023754537,"teacher_disagreement_score":0.98102266,"about_ca_system_score_codex":0.00012691121,"about_ca_system_score_gemma":0.00010176074,"threshold_uncertainty_score":0.99855083},"labels":[],"label_agreement":null},{"id":"W4408304445","doi":"10.1109/iecon55916.2024.10905357","title":"ORFLEX: Open Platform for Rapid Testing and Deploying Local Flexibility Markets","year":2024,"lang":"en","type":"article","venue":"","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":"Hydro-Québec","funders":"Science and Engineering Research Council","keywords":"Flexibility (engineering); Computer science; Open source; Operating system; Software; Economics","score_opus":0.3909127123305504,"score_gpt":0.49343391291330396,"score_spread":0.10252120058275355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408304445","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":[0.06768547,0.00015349631,0.8802869,0.0012579076,0.000087892346,0.0012367754,0.000023712882,0.0004374797,0.0488304],"genre_scores_gemma":[0.91229916,0.0000026363687,0.0848183,0.0002492152,0.0000372658,0.00012341021,0.0000019828237,0.000010324986,0.0024577002],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986747,0.000019196224,0.0004004988,0.000490055,0.00026906328,0.00014651573],"domain_scores_gemma":[0.99433374,0.0050169327,0.000043510485,0.00035609232,0.0001704134,0.00007929658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029381118,0.000084149964,0.0001381839,0.00009496241,0.00023066964,0.0010188408,0.00045260353,0.000051027022,0.0005126698],"category_scores_gemma":[0.0016914563,0.000057083373,0.000043556163,0.00056266447,0.00006779963,0.0004966198,0.00031267814,0.00006516139,0.000041730527],"study_design_candidate":"design_other","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":[0.000013451331,0.000011271357,0.0007864545,0.000008227188,0.0000037296486,5.570235e-7,0.000042705473,0.000030492854,0.00013588178,0.020176005,0.008699461,0.97009176],"study_design_scores_gemma":[0.0001522554,0.00004332761,0.004166183,0.00002399808,0.000006755606,0.000009512017,0.00029258133,0.44598952,0.0016792191,0.4327606,0.11474733,0.0001287103],"about_ca_topic_score_codex":0.000052434407,"about_ca_topic_score_gemma":0.000017476012,"teacher_disagreement_score":0.9699631,"about_ca_system_score_codex":0.000026692216,"about_ca_system_score_gemma":0.00006134981,"threshold_uncertainty_score":0.9824706},"labels":[],"label_agreement":null},{"id":"W4408508783","doi":"10.1162/evco_a_00371","title":"MO-SMAC: Multiobjective Sequential Model-Based Algorithm Configuration","year":2025,"lang":"en","type":"article","venue":"Evolutionary Computation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"University of British Columbia","funders":"","keywords":"Algorithm; Computer science; Mathematical optimization; Mathematics","score_opus":0.0628140366402647,"score_gpt":0.40987960846386656,"score_spread":0.34706557182360187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408508783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031297382,0.00007400347,0.9876664,0.0011957961,0.00024467986,0.000573134,0.000053669693,0.0002771785,0.006785352],"genre_scores_gemma":[0.8457808,0.0000018451478,0.15174842,0.00043341029,0.00006549676,0.000102950384,0.00017886715,0.00000811278,0.0016801244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774283,0.00017586241,0.0006444312,0.000526072,0.00074058,0.00017019383],"domain_scores_gemma":[0.9977376,0.00062095094,0.00022910137,0.00026339464,0.0010912883,0.000057706737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006279818,0.00015120521,0.00018055494,0.00052647264,0.00045734496,0.00016308835,0.00028147537,0.000118459306,0.000093503404],"category_scores_gemma":[0.00025286054,0.0001463192,0.00012601758,0.0012184386,0.000104907886,0.00043233877,0.000051134462,0.0001314535,0.00016509375],"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":[0.00002084287,0.00009808924,0.00020286925,0.0000022306444,0.000010119625,3.7741881e-7,0.00006769386,0.71932846,0.00051665405,0.030258741,0.012698117,0.23679583],"study_design_scores_gemma":[0.00038009815,0.000019731466,0.005813973,0.00000902413,0.000010461906,8.020578e-7,0.00005222462,0.7818143,0.00084585184,0.20832902,0.0026162784,0.0001082625],"about_ca_topic_score_codex":0.000046702156,"about_ca_topic_score_gemma":0.0000041989692,"teacher_disagreement_score":0.84265107,"about_ca_system_score_codex":0.0002487176,"about_ca_system_score_gemma":0.00032067052,"threshold_uncertainty_score":0.5966724},"labels":[],"label_agreement":null},{"id":"W4408565479","doi":"10.1109/mra.2025.3527291","title":"Advancing Reproducibility, Benchmarks, and Education With Remote Sim2real: Remote Simulation to Real Robot Hardware","year":2025,"lang":"en","type":"article","venue":"IEEE Robotics & Automation Magazine","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reproducibility; Computer science; Robot; Embedded system; Computer hardware; Simulation; Artificial intelligence","score_opus":0.03653637704208325,"score_gpt":0.3984336097792792,"score_spread":0.361897232737196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408565479","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050826475,0.000047313068,0.9252538,0.011445213,0.0003625227,0.0013967428,0.000012697123,0.00043965405,0.010215569],"genre_scores_gemma":[0.7062496,0.000031931602,0.28579593,0.00069272576,0.00014322373,0.000016506228,0.00008413729,0.000027311879,0.0069586253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960305,0.00018528556,0.0011091656,0.0014821,0.0008803617,0.00031258387],"domain_scores_gemma":[0.9948384,0.000913978,0.00042596293,0.0021925992,0.0014312629,0.00019780388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002731129,0.000277911,0.00039605336,0.000706936,0.00036459253,0.00037645694,0.00041657206,0.00014530249,0.00007983114],"category_scores_gemma":[0.0026439659,0.00024172317,0.000069618254,0.002308285,0.00007898243,0.0005566725,0.0001330508,0.0001834536,0.000093592644],"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":[0.0000366417,0.000059147445,0.001670503,0.00002397348,0.000010069857,5.6939797e-7,0.00014947224,0.7114307,0.001818227,0.001744995,0.008450591,0.27460507],"study_design_scores_gemma":[0.0003310492,0.00010899324,0.08849757,0.0001795683,0.00005115186,0.0000056195627,0.00009745464,0.84812987,0.00079818576,0.045888126,0.015593671,0.00031876194],"about_ca_topic_score_codex":0.00014691005,"about_ca_topic_score_gemma":0.00024215691,"teacher_disagreement_score":0.6554231,"about_ca_system_score_codex":0.00021723847,"about_ca_system_score_gemma":0.00033661118,"threshold_uncertainty_score":0.9857185},"labels":[],"label_agreement":null},{"id":"W4409124103","doi":"10.22541/au.174371573.35145749/v1","title":"Clustering analysis of very large measurement and model datasets on high performance computing platforms","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":"Environment and Climate Change Canada","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Data science; Artificial intelligence","score_opus":0.188099513850231,"score_gpt":0.41650486930007496,"score_spread":0.22840535544984397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409124103","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":[0.3119139,0.000019011242,0.6850888,0.00006638321,0.00004373966,0.00024613322,0.0008508914,0.000052079402,0.0017190409],"genre_scores_gemma":[0.9856476,0.000032432967,0.01370276,0.00016509941,0.0000107891055,0.000013321263,0.0002444579,0.00000398522,0.00017951742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972939,0.000017653576,0.0007914714,0.00058212876,0.0011677169,0.00014714658],"domain_scores_gemma":[0.997936,0.00027227637,0.00037604113,0.0010584345,0.00030885753,0.000048398797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024609335,0.00016617982,0.0004901033,0.0008019643,0.00014276654,0.000112169335,0.00059933274,0.00012665876,0.00005859646],"category_scores_gemma":[0.00015258737,0.00012201738,0.00011969713,0.00077411503,0.000028454559,0.00008882843,0.0014191236,0.00020175711,0.000003312335],"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":[0.000012154443,0.000045936238,0.0023511157,0.00002756767,0.00014173181,7.2809726e-8,0.00008049628,0.9770972,0.000016181839,0.0030605916,0.0008609186,0.016306028],"study_design_scores_gemma":[0.00010636051,0.000010562655,0.010778294,0.00007124102,0.0001471964,5.4436804e-8,0.000037733047,0.98448473,0.00047507856,0.0035761038,0.00019333625,0.00011932625],"about_ca_topic_score_codex":0.000061074854,"about_ca_topic_score_gemma":0.00005563307,"teacher_disagreement_score":0.6737338,"about_ca_system_score_codex":0.00006171148,"about_ca_system_score_gemma":0.00006955562,"threshold_uncertainty_score":0.49757245},"labels":[],"label_agreement":null},{"id":"W4409348534","doi":"10.1609/aaai.v39i27.35100","title":"Representation-driven Option Discovery in Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reinforcement learning; Representation (politics); Computer science; Artificial intelligence; Machine learning; Data science; Political science","score_opus":0.19708603073946998,"score_gpt":0.4407234229514519,"score_spread":0.2436373922119819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409348534","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":[0.68810004,0.000013256222,0.20811743,0.010261954,0.0003029999,0.0011814281,0.0000029736775,0.00009266721,0.09192727],"genre_scores_gemma":[0.9950293,0.000024228622,0.0004674771,0.0001200175,0.000018100192,0.00005923293,8.550162e-7,0.00000401587,0.004276818],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99802965,0.00002489352,0.0008152422,0.00037193327,0.0006061343,0.00015217291],"domain_scores_gemma":[0.9983995,0.0003482211,0.000378966,0.00024119743,0.0006065955,0.000025536561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008654973,0.00010654328,0.00019523954,0.00031157566,0.00016244226,0.00029869244,0.000883747,0.00006092309,0.00011342985],"category_scores_gemma":[0.0021539133,0.00007591095,0.000081295904,0.0017086834,0.00014658931,0.00040767973,0.00020747237,0.0002160527,0.000051417344],"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":[0.00004160375,0.000045424666,0.0051727877,0.000004314661,0.0000032259734,4.0557275e-8,0.00033215835,0.023752546,0.0145996595,0.92425805,0.00016549499,0.031624664],"study_design_scores_gemma":[0.000024242427,0.000046909878,0.0028313757,0.00012743966,0.0000050605213,1.8745891e-7,0.001821718,0.20158309,0.18917485,0.60391885,0.00037902556,0.0000872649],"about_ca_topic_score_codex":0.00006973345,"about_ca_topic_score_gemma":0.000016621214,"teacher_disagreement_score":0.32033923,"about_ca_system_score_codex":0.000055401717,"about_ca_system_score_gemma":0.00006171956,"threshold_uncertainty_score":0.3095559},"labels":[],"label_agreement":null},{"id":"W4409359517","doi":"10.1139/cjfas-2024-0218","title":"Webpage views as a proxy for angler pressure and effort: insights from Bayesian networks","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria; University of Alberta; Brock University","funders":"","keywords":"Proxy (statistics); Fishery; Bayesian probability; Environmental science; Ecology; Computer science; Biology; Artificial intelligence; Machine learning","score_opus":0.05172990446499007,"score_gpt":0.3362933999026359,"score_spread":0.2845634954376458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409359517","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":[0.7646669,0.021301214,0.1653255,0.028708356,0.0010034662,0.001468351,0.000043734588,0.000024641515,0.01745783],"genre_scores_gemma":[0.9926789,0.00005239859,0.005005865,0.0009039395,0.00007337765,0.000013569955,8.796245e-7,0.0000031954762,0.0012678889],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882776,0.000041181014,0.0004887121,0.00022895832,0.00024526584,0.00016813684],"domain_scores_gemma":[0.99851954,0.0006961684,0.00024877788,0.00014890218,0.00011953981,0.00026705678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081883336,0.00009363463,0.00023968986,0.00025504574,0.0005836191,0.00070173433,0.0003970215,0.0000634076,0.000101644284],"category_scores_gemma":[0.0006778891,0.00006164687,0.000054811404,0.00057567755,0.00049107167,0.00037124928,0.000021135254,0.0000791325,7.166134e-7],"study_design_candidate":"not_applicable","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":[0.0000585586,0.000042541757,0.30288678,0.000029276314,0.00013710013,0.00001801966,0.00608146,0.00054628757,0.00011457356,0.08386526,0.11409779,0.49212235],"study_design_scores_gemma":[0.00028871666,0.00019988255,0.025791107,0.00009829424,0.000052828032,0.000009787216,0.001764726,0.0740049,0.000069405454,0.3200871,0.57749534,0.0001379306],"about_ca_topic_score_codex":0.0014396234,"about_ca_topic_score_gemma":0.0068774377,"teacher_disagreement_score":0.4919844,"about_ca_system_score_codex":0.000009760252,"about_ca_system_score_gemma":0.0005141159,"threshold_uncertainty_score":0.6766841},"labels":[],"label_agreement":null},{"id":"W4409503373","doi":"10.5006/mpwt19-14353","title":"Validating ILI Run with and without Data Loss","year":2019,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data loss; Operating system","score_opus":0.21570093902615892,"score_gpt":0.4605065357863145,"score_spread":0.2448055967601556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409503373","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":[0.887046,0.000011024348,0.06840863,0.0008467865,0.000017561784,0.0002645051,0.000015478015,0.000101377416,0.04328866],"genre_scores_gemma":[0.95854783,0.0000019790964,0.03383615,0.00021810252,0.000015695538,0.000004138189,0.000009881748,0.0000049450628,0.0073612984],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989451,0.00001998174,0.00018964038,0.00036995826,0.0003931384,0.00008215129],"domain_scores_gemma":[0.99838865,0.0002711894,0.000074081254,0.0011261466,0.00009575363,0.00004418573],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077524834,0.000054734966,0.00009807859,0.000048061796,0.00006844967,0.00018252661,0.00051108614,0.000023000912,0.00096506206],"category_scores_gemma":[0.00012399316,0.000031525673,0.000007746383,0.00026296702,0.000041614672,0.0003308707,0.000250721,0.000042709322,0.00027234375],"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":[0.00000904185,0.000019718984,0.9197624,0.0000019649676,0.000005430815,2.3336773e-7,0.000091944385,0.00006941915,0.0004681997,0.027440919,0.0044223354,0.047708403],"study_design_scores_gemma":[0.0014751939,0.00020034584,0.15622167,0.000043842072,0.00002678154,0.000050092884,0.0022606722,0.21700077,0.0061011584,0.06816499,0.54776967,0.00068484293],"about_ca_topic_score_codex":0.00003416105,"about_ca_topic_score_gemma":0.0000151975,"teacher_disagreement_score":0.76354074,"about_ca_system_score_codex":0.0000035738035,"about_ca_system_score_gemma":0.000017540395,"threshold_uncertainty_score":0.9999482},"labels":[],"label_agreement":null},{"id":"W4409787811","doi":"10.61091/jcmcc127a-482","title":"Simulation Optimisation of Laboratory Resources in Universities with Intelligent Scheduling Strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Computer science; Engineering management; Operations research; Management science; Industrial engineering; Engineering; Operations management","score_opus":0.03508494241924227,"score_gpt":0.3500912196780528,"score_spread":0.31500627725881053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787811","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":[0.89446133,0.00010927218,0.10370159,0.000087083994,0.0007737962,0.00016244402,0.0000013880089,0.000013313649,0.0006897972],"genre_scores_gemma":[0.9899215,0.0000068630407,0.009948987,0.00000781635,0.00009920673,6.922393e-7,4.121464e-7,0.000006880676,0.000007651193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977335,0.00011941907,0.0011788926,0.00015259915,0.00069588114,0.00011976166],"domain_scores_gemma":[0.99458486,0.0027268121,0.001123052,0.00019982085,0.0013179121,0.00004752029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002384012,0.00013087055,0.00046457117,0.00058630155,0.00012669827,0.00022220165,0.00034413772,0.00009607854,0.00000579684],"category_scores_gemma":[0.0006037213,0.000103614744,0.00006699503,0.0010056788,0.000102132195,0.00033532342,0.00010054518,0.0002174254,3.1564988e-7],"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":[0.00011046098,0.00020570228,0.00084003597,0.000051213443,0.000029437373,0.000002161908,0.0024097315,0.16166882,0.0003057867,0.832357,0.000009440538,0.002010204],"study_design_scores_gemma":[0.0018452407,0.00034195263,0.0005393377,0.00052603,0.000042573458,0.0000022872562,0.019177029,0.16742183,0.0016883514,0.8077782,0.0004866811,0.00015051961],"about_ca_topic_score_codex":0.000011171056,"about_ca_topic_score_gemma":9.256405e-7,"teacher_disagreement_score":0.09546018,"about_ca_system_score_codex":0.00008745379,"about_ca_system_score_gemma":0.00026470903,"threshold_uncertainty_score":0.42252865},"labels":[],"label_agreement":null},{"id":"W4409970758","doi":"10.1007/978-3-031-90897-2_2","title":"A Behavioural Pseudometric for Continuous-Time Markov Processes","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"McGill University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; UK Research and Innovation","keywords":"Computer science; Markov chain; Markov process; Algorithm; Mathematics; Machine learning; Statistics","score_opus":0.05761260893515404,"score_gpt":0.3583308095965839,"score_spread":0.3007182006614299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409970758","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":[0.00014923258,0.0002570482,0.99033195,0.00093275646,0.00035035785,0.0011192036,0.00007684306,0.00013479826,0.0066478346],"genre_scores_gemma":[0.2877781,0.000043785174,0.6548699,0.0025477293,0.0005824923,0.00026655733,0.000048537113,0.00006493251,0.05379797],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99603987,0.00001971312,0.0008431993,0.0013438573,0.0013498008,0.00040356012],"domain_scores_gemma":[0.9920599,0.004927446,0.00042897646,0.0010369335,0.001439807,0.00010692576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018939628,0.00034406444,0.0005872202,0.0022293022,0.0003160739,0.00070453994,0.0024938537,0.00028813098,0.00020259868],"category_scores_gemma":[0.0028344367,0.00027284442,0.00017707636,0.0026085402,0.00048387636,0.0002616714,0.00049713824,0.0003209914,0.000057614077],"study_design_candidate":"design_other","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":[0.000012766629,0.000034781053,0.000562318,0.00002470038,0.0000050354906,0.0000029699304,0.00008420709,0.0012014759,0.000037967868,0.003429324,0.0016367668,0.99296767],"study_design_scores_gemma":[0.00056577823,0.00028643743,0.00064182316,0.00039724988,0.000041534644,0.000021525364,7.396227e-7,0.16828784,0.0021848131,0.77936065,0.047239147,0.00097244716],"about_ca_topic_score_codex":0.000011933551,"about_ca_topic_score_gemma":0.000020239513,"teacher_disagreement_score":0.9919952,"about_ca_system_score_codex":0.00014716652,"about_ca_system_score_gemma":0.0007197683,"threshold_uncertainty_score":0.9999724},"labels":[],"label_agreement":null},{"id":"W4410471507","doi":"10.31234/osf.io/rq6yb_v1","title":"Tutorial: How to Generate Missing Data For Simulation Studies","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Missing data; Computer science; Data science; Machine learning","score_opus":0.6986255797806713,"score_gpt":0.5893709231828437,"score_spread":0.10925465659782763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410471507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006162125,0.0003503632,0.9775397,0.012420159,0.0014786085,0.0012607062,0.00028483904,0.00019769445,0.00030579377],"genre_scores_gemma":[0.5832957,0.00004072299,0.4026515,0.0009109434,0.0017433112,0.00027791248,0.00074855,0.00003432801,0.010297024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968451,0.000107463384,0.00068134675,0.0013608424,0.0008160078,0.00018923175],"domain_scores_gemma":[0.99125296,0.002884193,0.00034651812,0.003325434,0.002078784,0.000112115675],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0025902858,0.00021781608,0.00048591898,0.0002133528,0.00026591035,0.0016760225,0.0015904637,0.00018850465,0.00010737344],"category_scores_gemma":[0.010051796,0.00016964097,0.00012923765,0.0004698339,0.000030772804,0.0002878075,0.003036478,0.00013768401,0.000017441618],"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":[0.000021629941,0.000063362044,0.00009844571,0.000043924512,0.00011617607,0.0000011239329,0.0006693468,0.4679818,0.0010972255,0.0047012265,0.30289796,0.22230779],"study_design_scores_gemma":[0.000106051615,0.000012610026,0.00007175315,0.000039933562,0.00003454286,2.1503433e-7,0.00067159097,0.6262133,0.0014723709,0.03308474,0.33803394,0.0002589255],"about_ca_topic_score_codex":0.000018570236,"about_ca_topic_score_gemma":0.000033102988,"teacher_disagreement_score":0.5771336,"about_ca_system_score_codex":0.00006908741,"about_ca_system_score_gemma":0.000183953,"threshold_uncertainty_score":0.9993603},"labels":[],"label_agreement":null},{"id":"W4410582784","doi":"10.23919/date64628.2025.10992999","title":"Multi-Partner Project: Advancing the EDA Tools Landscape for the European RISC-V Ecosystem in TRISTAN","year":2025,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Ecosystem; Computer science; Environmental resource management; Environmental science; Ecology; Biology","score_opus":0.15464749397698982,"score_gpt":0.45817261818087957,"score_spread":0.3035251242038898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410582784","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":[0.011897061,0.00019694601,0.7937324,0.008439297,0.00020643407,0.0036929527,0.00005312412,0.00019358726,0.18158817],"genre_scores_gemma":[0.97188103,0.000010085586,0.0051203417,0.00047243715,0.00005755091,0.0003411541,0.0000032482646,0.0000086352065,0.022105502],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984965,0.00022906689,0.0005481938,0.00029293168,0.0002603743,0.00017298324],"domain_scores_gemma":[0.9951375,0.0038713177,0.000118917524,0.00068751903,0.00016652136,0.000018202558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004850288,0.00008899061,0.00013678707,0.00013308282,0.00032300057,0.00035377714,0.00080055854,0.000027685559,0.00008848086],"category_scores_gemma":[0.0012231547,0.00003800666,0.00009356886,0.0009538606,0.00002324316,0.00012847004,0.0001147652,0.000095241805,0.00006219092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059893602,0.00018043477,0.013119899,0.000016794727,0.00003040116,0.0000013616833,0.0012084316,0.0045233634,0.0007117259,0.06822553,0.46716556,0.4447566],"study_design_scores_gemma":[0.00047437637,0.000011650892,0.00977344,0.000015619324,0.000007709087,6.2558536e-7,0.0032359927,0.12371073,0.0004167824,0.0028535961,0.859418,0.0000814956],"about_ca_topic_score_codex":0.000036452853,"about_ca_topic_score_gemma":0.00094655063,"teacher_disagreement_score":0.959984,"about_ca_system_score_codex":0.000023271281,"about_ca_system_score_gemma":0.00005843656,"threshold_uncertainty_score":0.3411481},"labels":[],"label_agreement":null},{"id":"W4410632628","doi":"10.22215/etd/2025-16418","title":"Simulation of Dynamic Systems In Moving Environments with Application to Transportation","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Systems engineering; Engineering","score_opus":0.026180398967128583,"score_gpt":0.3787102346168089,"score_spread":0.3525298356496803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410632628","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":[0.26213026,0.0000637469,0.73108023,0.000055961606,0.00008954191,0.0023905567,0.00007708804,0.00005780673,0.0040548206],"genre_scores_gemma":[0.9844739,0.0000075957755,0.0017888829,0.000023346116,0.000008517796,0.00048332565,0.0009700259,0.000019285955,0.01222512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969137,0.000055926223,0.0012266493,0.00063883344,0.0010207711,0.0001441637],"domain_scores_gemma":[0.99782336,0.00064948626,0.00059771293,0.000650173,0.00022495736,0.000054287306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005874914,0.0002108109,0.0004157597,0.00095764035,0.000057726073,0.000061387094,0.00042247216,0.00023006549,0.000048336606],"category_scores_gemma":[0.00013913267,0.00017556657,0.00006864535,0.0014921157,0.00001216364,0.00016957984,0.0000072579714,0.00012948124,0.000030168672],"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":[0.00008249771,0.00007225655,0.0012532432,0.000045284673,0.00000906942,2.3764521e-7,0.0004778846,0.94398326,0.0018481459,0.00234774,0.000027701744,0.049852658],"study_design_scores_gemma":[0.0004128189,0.00008374963,0.14700727,0.00031555642,0.00004919275,8.992787e-8,0.0025756746,0.8385604,0.0013553404,0.0034710555,0.005778155,0.000390673],"about_ca_topic_score_codex":0.00041944126,"about_ca_topic_score_gemma":0.0024397827,"teacher_disagreement_score":0.7292913,"about_ca_system_score_codex":0.00014900068,"about_ca_system_score_gemma":0.000082232495,"threshold_uncertainty_score":0.7159397},"labels":[],"label_agreement":null},{"id":"W4410763606","doi":"10.1139/cjfas-2024-0191","title":"Using history matching to speed up management strategy evaluation grid searches","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grid; Matching (statistics); Computer science; Operations research; Geography; Statistics; Engineering; Mathematics; Geodesy","score_opus":0.3298449643158547,"score_gpt":0.43003430296299183,"score_spread":0.10018933864713714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410763606","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":[0.94361985,0.000789817,0.024894243,0.0057022446,0.00088165747,0.00033902304,0.000003120867,0.000006813693,0.023763247],"genre_scores_gemma":[0.98933196,0.000010889008,0.0085861245,0.0005368867,0.000047924088,0.0000022893907,2.8293076e-7,0.0000025254678,0.0014811377],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99834883,0.00009881927,0.0004669844,0.00019131596,0.0007123846,0.00018166],"domain_scores_gemma":[0.9989717,0.00024770325,0.00018434778,0.00014542376,0.00020429093,0.0002465458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004295645,0.00007401361,0.00015177585,0.000713431,0.00039991585,0.0004516817,0.00046997739,0.000026176409,0.00035274285],"category_scores_gemma":[0.0004853318,0.0000565505,0.000043039126,0.0008202366,0.00027468475,0.0003771764,0.000027634664,0.00006940529,0.0000039589127],"study_design_candidate":"design_other","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":[0.000019575567,0.000022039594,0.032483622,0.000022008788,0.000052850544,0.000016955051,0.0056156763,0.013630838,0.0005724843,0.05144196,0.09023191,0.8058901],"study_design_scores_gemma":[0.00062486186,0.00030024006,0.07628609,0.00034298934,0.000116659656,0.000044574623,0.03865719,0.1395746,0.00033305897,0.49677384,0.24650483,0.0004410504],"about_ca_topic_score_codex":0.002692515,"about_ca_topic_score_gemma":0.003035396,"teacher_disagreement_score":0.805449,"about_ca_system_score_codex":0.00024487276,"about_ca_system_score_gemma":0.0013342556,"threshold_uncertainty_score":0.4355577},"labels":[],"label_agreement":null},{"id":"W4411359001","doi":"10.1109/tfr.2025.3580397","title":"DRIVE Through the Unpredictability: From a Protocol Investigating Slip to a Metric Estimating Command Uncertainty","year":2025,"lang":"en","type":"article","venue":"IEEE transactions on field robotics.","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":"SNC-Lavalin (Canada); Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Metric (unit); Protocol (science); Computer science; Slip (aerodynamics); Engineering; Aerospace engineering; Operations management; Medicine","score_opus":0.09265760901618103,"score_gpt":0.42245383479192733,"score_spread":0.3297962257757463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411359001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013074415,0.0000022962938,0.96403015,0.016614817,0.00028827117,0.01496677,0.000028145289,0.00016500909,0.002597082],"genre_scores_gemma":[0.83266467,4.4815755e-7,0.14030053,0.0055014454,0.0000672548,0.020753738,0.0000017586826,0.000011755198,0.00069839176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776095,0.0001865239,0.00072806224,0.0005048502,0.0006042906,0.00021534304],"domain_scores_gemma":[0.99210405,0.006381439,0.00015041599,0.0010085836,0.00026836112,0.000087163855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006869115,0.00017597959,0.0002569732,0.00022913606,0.00077111943,0.00026743175,0.000741412,0.00012835539,0.00025737003],"category_scores_gemma":[0.0008523524,0.00011827098,0.0001501689,0.002304864,0.000100892314,0.0001549068,0.000013728141,0.0004376368,0.000055576766],"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":[0.000020799109,0.00009976224,0.000221583,0.0000060445745,0.00002621619,3.1915988e-7,0.00093907065,0.9311872,0.00008919252,0.0023277379,0.0050243936,0.06005768],"study_design_scores_gemma":[0.0007366695,0.00020344419,0.0005990655,0.00016869056,0.000080639475,0.0000010904079,0.0013618071,0.76555324,0.013220351,0.20505957,0.012702168,0.00031328376],"about_ca_topic_score_codex":0.0009061925,"about_ca_topic_score_gemma":0.00026933764,"teacher_disagreement_score":0.83135724,"about_ca_system_score_codex":0.00007196554,"about_ca_system_score_gemma":0.00010346271,"threshold_uncertainty_score":0.59309053},"labels":[],"label_agreement":null},{"id":"W4411404651","doi":"10.1017/9781009403092.010","title":"Exploratory Modelling","year":2025,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.1445879083337415,"score_gpt":0.3065365652009239,"score_spread":0.16194865686718243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411404651","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011588548,0.00006847234,0.16767459,0.000030696967,0.00010113731,0.00030603068,0.00019154661,0.00019383432,0.8314221],"genre_scores_gemma":[0.0010082667,0.00006088076,0.001008381,0.0001093746,0.0000695019,0.0000016513577,0.000022137967,0.000019613539,0.9977002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981144,0.00003846231,0.00036045304,0.00067142164,0.0006449398,0.00017033494],"domain_scores_gemma":[0.9975345,0.00038938536,0.00029067945,0.0011264702,0.0005346274,0.00012431669],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003364694,0.00025287468,0.00035745086,0.0004388556,0.00027295164,0.0001170417,0.0010960151,0.00033026628,0.000022892968],"category_scores_gemma":[0.00003010781,0.00026834165,0.00026466325,0.000030002348,0.00014970134,0.00012150695,0.0004752637,0.00034075018,0.000071514885],"study_design_candidate":"not_applicable","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":[0.000011052858,0.0000033354788,4.5680255e-7,0.000004351984,0.000020761907,0.000011699127,0.000015391457,0.00030899333,0.0000034248483,0.8358627,0.15971078,0.004047071],"study_design_scores_gemma":[0.00013249995,0.000008827448,5.434476e-7,0.000056030498,0.000063536565,7.965315e-7,0.000037914833,0.007895829,0.00014129856,0.0014971392,0.98991764,0.00024796126],"about_ca_topic_score_codex":0.000025284762,"about_ca_topic_score_gemma":5.9041e-7,"teacher_disagreement_score":0.83436555,"about_ca_system_score_codex":0.00012108078,"about_ca_system_score_gemma":0.000156893,"threshold_uncertainty_score":0.9999769},"labels":[],"label_agreement":null},{"id":"W4411501004","doi":"10.1007/s10270-025-01301-5","title":"On theory and management of dependencies between models","year":2025,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"RWTH Aachen University","keywords":"Computer science; Epistemology; Management science; Engineering; Philosophy","score_opus":0.13170574058871604,"score_gpt":0.4028358472776832,"score_spread":0.27113010668896714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411501004","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":[0.12610206,0.00044981294,0.8700796,0.00003736873,0.00005698321,0.00033984572,0.00001539968,0.000100874575,0.0028181048],"genre_scores_gemma":[0.99351126,0.00003234443,0.0050889095,0.0000340613,0.000013250625,0.00005516958,0.0000023291084,0.0000069018856,0.0012557639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983355,0.00010774963,0.00058467477,0.0003284812,0.0005267816,0.00011686105],"domain_scores_gemma":[0.9980363,0.0011007499,0.00012393545,0.0005087811,0.00019446979,0.00003575696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002202606,0.000097624215,0.00023582828,0.00023460145,0.00013781256,0.000091191345,0.00033515602,0.00006377371,0.0000055469372],"category_scores_gemma":[0.00014950101,0.00007535631,0.000056035486,0.00036667055,0.00003102999,0.00012758982,0.00013496725,0.000064294974,0.000006360944],"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":[0.000008440561,0.000009399934,0.0010446439,0.000045545632,0.000022715627,2.8356848e-7,0.0001057185,0.3537369,0.0000049025084,0.62579083,0.00014370042,0.019086944],"study_design_scores_gemma":[0.00010209738,0.000009629085,0.00011379403,0.00020984685,0.00001930875,2.54134e-7,0.00080829026,0.32605702,0.00003343264,0.67241406,0.00016416653,0.000068074034],"about_ca_topic_score_codex":0.00003966439,"about_ca_topic_score_gemma":8.592116e-7,"teacher_disagreement_score":0.8674092,"about_ca_system_score_codex":0.000024201294,"about_ca_system_score_gemma":0.000019178742,"threshold_uncertainty_score":0.3072941},"labels":[],"label_agreement":null},{"id":"W4411968205","doi":"10.1007/978-3-031-76738-8_6","title":"Optimizing Knot Probabilities for a Lattice Polygon Model using Simultaneous Perturbation Stochastic Approximation","year":2025,"lang":"en","type":"book-chapter","venue":"MATRIX book series","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Knot (papermaking); Polygon (computer graphics); Lattice (music); Mathematics; Perturbation (astronomy); Combinatorics; Statistical physics; Applied mathematics; Computer science; Physics; Materials science; Quantum mechanics; Composite material; Acoustics","score_opus":0.09086331643202987,"score_gpt":0.36962459085767085,"score_spread":0.27876127442564097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411968205","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006768056,0.0008956901,0.9186473,0.0005894958,0.0001276496,0.00260931,0.00035837747,0.00033916926,0.07636534],"genre_scores_gemma":[0.0037683893,0.000036167687,0.19061382,0.00017676978,0.00014405337,0.00023615285,0.000115346855,0.00006412583,0.80484515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970418,0.00002987116,0.0010975471,0.0007762417,0.00078094157,0.00027359131],"domain_scores_gemma":[0.9953002,0.0021427933,0.00066489977,0.0007931482,0.0010255255,0.000073434814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000645343,0.0004216874,0.00057955936,0.00049350515,0.0005236461,0.00045688573,0.00048908405,0.00040548178,0.00016210657],"category_scores_gemma":[0.0012550631,0.00038612008,0.00028784174,0.00013113281,0.0001679402,0.0007737401,0.0001593447,0.00021531145,0.00002551715],"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":[0.00008520685,0.000012793016,1.2072125e-7,0.00008866011,0.0000202442,3.3767287e-7,0.00051025895,0.3929458,0.00007304067,0.6021588,0.00063512207,0.0034696376],"study_design_scores_gemma":[0.000105526466,0.00003688663,4.6967394e-8,0.0001050988,0.00007178762,0.0000033394558,0.00008956628,0.5506179,0.00006828147,0.41893983,0.029725088,0.00023669505],"about_ca_topic_score_codex":0.0000081497,"about_ca_topic_score_gemma":0.000007066729,"teacher_disagreement_score":0.72847986,"about_ca_system_score_codex":0.00025719733,"about_ca_system_score_gemma":0.00032305118,"threshold_uncertainty_score":0.9998591},"labels":[],"label_agreement":null},{"id":"W4412232212","doi":"","title":"Local Behavior and Graphical Models for Stochastic Processes","year":2023,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Graphical model; Computer science; Statistical physics; Artificial intelligence; Physics","score_opus":0.20425144907105885,"score_gpt":0.4540629158875119,"score_spread":0.24981146681645305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412232212","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":[0.042503335,0.000011120316,0.95570815,0.00077123806,0.000014382616,0.00039670678,0.000017305934,0.0002179184,0.00035982262],"genre_scores_gemma":[0.99521536,0.0000027726785,0.0028658696,0.00009772931,0.000013111931,0.00044920653,0.000005390236,0.0000055957685,0.0013449595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991381,0.000006996987,0.00020613693,0.00024512736,0.00029598447,0.00010762378],"domain_scores_gemma":[0.99855995,0.0009317035,0.000031802363,0.00017174336,0.00024348166,0.00006130463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039708053,0.000051523606,0.00008635884,0.00015024637,0.00012166664,0.00008626305,0.00016143694,0.00004232868,0.00004959613],"category_scores_gemma":[0.0003073129,0.000035459594,0.000029254888,0.0008790686,0.00007801095,0.00012961164,0.000048985752,0.00002834146,0.00003254026],"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":[0.00003468079,0.00016128823,0.0011016518,0.000021167321,0.000007712535,0.0000012740087,0.00036478235,0.028475016,0.0002598816,0.6633984,0.039874345,0.26629984],"study_design_scores_gemma":[0.00011592721,0.000030336247,0.0010922428,0.0000021259887,0.000006337102,0.0000014980716,0.00023420725,0.41646054,0.00017054385,0.58042896,0.0013902144,0.000067066416],"about_ca_topic_score_codex":0.0000054767593,"about_ca_topic_score_gemma":0.000011496006,"teacher_disagreement_score":0.9528423,"about_ca_system_score_codex":0.0000031641443,"about_ca_system_score_gemma":0.000025858311,"threshold_uncertainty_score":0.14460003},"labels":[],"label_agreement":null},{"id":"W4412318324","doi":"","title":"Flix:A Meta Programming Language for Datalog","year":2022,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Datalog; Programming language; Computer science","score_opus":0.35666118959348175,"score_gpt":0.5099991924918751,"score_spread":0.15333800289839333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412318324","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012579917,0.0002281442,0.9614478,0.005054802,0.00013327479,0.0017467024,0.0003872135,0.0005315316,0.017890656],"genre_scores_gemma":[0.8920023,3.9478763e-7,0.07927735,0.0007782361,0.00003674537,0.0014763362,0.000096370255,0.000008474323,0.026323806],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989536,0.000034217974,0.00022915952,0.00024316473,0.00043546603,0.0001043947],"domain_scores_gemma":[0.99880296,0.0005645264,0.00006895663,0.00046893343,0.00006228729,0.000032314114],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013528389,0.00004720173,0.00010989971,0.00008492858,0.00031405166,0.000099460325,0.0005164604,0.000010801338,0.004530019],"category_scores_gemma":[0.00026357156,0.000032666663,0.00011604729,0.0004480718,0.000015424182,0.0000923434,0.00021360176,0.00004471382,0.000040064813],"study_design_candidate":"not_applicable","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":[0.000013991083,0.00015129537,0.0003562472,0.0000021281032,0.000081654114,0.0000013199078,0.0006268201,0.0006187643,0.0012969538,0.24379694,0.2099592,0.5430947],"study_design_scores_gemma":[0.000077967554,0.000028737815,0.00005295715,7.464502e-8,0.000026500935,0.0000017728792,0.0011537023,0.004173725,0.00083816866,0.018960902,0.97463006,0.00005545745],"about_ca_topic_score_codex":0.000033233962,"about_ca_topic_score_gemma":0.000011392684,"teacher_disagreement_score":0.8821704,"about_ca_system_score_codex":0.000011819133,"about_ca_system_score_gemma":0.000015464295,"threshold_uncertainty_score":0.99638},"labels":[],"label_agreement":null},{"id":"W4412318936","doi":"","title":"Introducerende statistik og dataanalyse med MATLAB - webbog","year":2021,"lang":"da","type":"book","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"MATLAB; Computer science; Programming language","score_opus":0.193792587738341,"score_gpt":0.45790226012227364,"score_spread":0.2641096723839327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412318936","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009492311,0.0010148116,0.38021183,0.006816354,0.00097621256,0.0013470852,0.0057136184,0.00046365915,0.6033615],"genre_scores_gemma":[0.0034423003,0.0006282742,0.04789599,0.0013195511,0.00090898026,0.00013419086,0.0057119275,0.00008843657,0.93987036],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99050707,0.0004094352,0.0026688217,0.0026056583,0.0031290948,0.0006799203],"domain_scores_gemma":[0.98865145,0.003193487,0.0011669971,0.0048050834,0.0016712279,0.00051174156],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024184696,0.000802418,0.0014536212,0.00083824206,0.00059728464,0.0015629217,0.0028152636,0.0006720868,0.14512667],"category_scores_gemma":[0.0019162417,0.0006638308,0.0005187126,0.0018529695,0.0004143195,0.0004940814,0.0012369605,0.0008855397,0.008979129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011796812,0.00011107489,0.000065324566,0.000020569625,0.00015244169,0.00002345344,0.000068800786,0.000065331864,0.00010261545,0.13777584,0.8022838,0.05931895],"study_design_scores_gemma":[0.00032256433,0.000045519115,0.00022004142,0.00007397377,0.00026358766,0.000016567952,0.00033304584,0.0049114693,0.0006041044,0.062582895,0.9298869,0.00073936733],"about_ca_topic_score_codex":0.00051660853,"about_ca_topic_score_gemma":0.0004932927,"teacher_disagreement_score":0.33650884,"about_ca_system_score_codex":0.0003491539,"about_ca_system_score_gemma":0.0017279997,"threshold_uncertainty_score":0.9995813},"labels":[],"label_agreement":null},{"id":"W4412323302","doi":"","title":"US/CAN’76:Kataloget til udstillingen, der aldrig blev lavet","year":2016,"lang":"da","type":"book","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Art; Philosophy","score_opus":0.1057832726161765,"score_gpt":0.3853672638983034,"score_spread":0.2795839912821269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412323302","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044400126,0.0010239658,0.16236177,0.005505496,0.001074732,0.0021760133,0.0027145033,0.00083435775,0.8238652],"genre_scores_gemma":[0.021885388,0.0010601663,0.009192984,0.0038604802,0.0012204037,0.00022296741,0.00048060392,0.00014206434,0.9619349],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99181587,0.00019759081,0.0022948214,0.0021936076,0.0025509514,0.00094716373],"domain_scores_gemma":[0.99090195,0.0027529695,0.0011372692,0.0032079718,0.0013844479,0.0006154234],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019528284,0.0009633719,0.0011853221,0.0007570106,0.00071011,0.0007404541,0.0028992805,0.0012474242,0.033240966],"category_scores_gemma":[0.00065794855,0.00065074605,0.0007196438,0.0008123024,0.00068664,0.0003940117,0.0007012227,0.0006229763,0.022331245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028274577,0.0001395529,0.00089072314,0.000020291904,0.000108115746,0.000015416152,0.00011792069,0.0000551877,0.00019412689,0.108477786,0.77772164,0.11223094],"study_design_scores_gemma":[0.00042389598,0.00008693083,0.00028552368,0.00016310024,0.000099915356,0.000015596532,0.00003713282,0.0009674527,0.0010840216,0.11488149,0.88107795,0.0008769912],"about_ca_topic_score_codex":0.00012534953,"about_ca_topic_score_gemma":0.00013252386,"teacher_disagreement_score":0.15316878,"about_ca_system_score_codex":0.00029959416,"about_ca_system_score_gemma":0.0011916425,"threshold_uncertainty_score":0.9995944},"labels":[],"label_agreement":null},{"id":"W4412332396","doi":"","title":"Taming HCN - A Method Development","year":2016,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"Computer science","score_opus":0.26313692249726356,"score_gpt":0.5236164320497497,"score_spread":0.26047950955248617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412332396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069337795,0.0000032531125,0.9434336,0.0018435316,0.00002112072,0.000074583746,6.9067386e-7,0.000104319435,0.04758515],"genre_scores_gemma":[0.52939576,6.570216e-7,0.43443295,0.00028989368,0.00001584043,0.00002469459,1.6586003e-7,0.0000028807124,0.035837162],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989765,0.00003324813,0.0002829696,0.0002074734,0.00040980644,0.000089994035],"domain_scores_gemma":[0.99851364,0.00096861256,0.000056955603,0.00029291213,0.00012037844,0.00004751279],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013227145,0.000043325945,0.00006904507,0.00008947043,0.000087723594,0.000049516206,0.00027153784,0.000024476618,0.002934502],"category_scores_gemma":[0.00035907474,0.000020024121,0.000028508704,0.00027867858,0.000013766842,0.000106240346,0.00006896282,0.00001471484,0.001267057],"study_design_candidate":"design_other","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":[6.6404886e-7,0.0000065335084,0.0006496117,7.9503565e-8,0.0000010913617,7.163411e-8,0.00007546904,0.0000013700042,0.0022403258,0.03424919,0.0061307875,0.95664483],"study_design_scores_gemma":[0.000084921834,0.000004003341,0.0045977877,0.000003233824,6.549003e-7,8.292635e-7,0.0000790262,0.0003162923,0.053012814,0.06235424,0.8794807,0.00006546231],"about_ca_topic_score_codex":0.0000036684291,"about_ca_topic_score_gemma":0.000002507517,"teacher_disagreement_score":0.9565793,"about_ca_system_score_codex":0.00002031301,"about_ca_system_score_gemma":0.00003072446,"threshold_uncertainty_score":0.9995106},"labels":[],"label_agreement":null},{"id":"W4412444215","doi":"10.1016/j.jval.2025.04.1266","title":"MSR114 Exploring the Impact of Data Availability on Time-Course Model-Based Network Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"Value in Health","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Course (navigation); Computer science; Data science; Engineering","score_opus":0.6871830130721395,"score_gpt":0.5494683091067032,"score_spread":0.13771470396543628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412444215","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":[0.32982892,0.001774238,0.6364606,0.02494455,0.00011041704,0.0027553604,0.00084351137,0.00019119607,0.003091247],"genre_scores_gemma":[0.99299866,0.000013076519,0.0061938395,0.0004338792,0.000016215838,0.00007011185,0.00002186659,0.0000048631455,0.00024750488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969253,0.00070073473,0.0010296094,0.0005305226,0.000593975,0.00021986396],"domain_scores_gemma":[0.9922219,0.00406374,0.00035086117,0.0031325703,0.00016677892,0.00006417437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011695505,0.00011390785,0.000662069,0.00027459313,0.00016248367,0.000055884364,0.0012937335,0.000035655125,0.0002920495],"category_scores_gemma":[0.00075083826,0.00006248055,0.0004880005,0.0038204796,0.00006761035,0.00016217688,0.00015368508,0.00015675137,0.00002538217],"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":[0.000011848019,0.000087293345,0.0039706132,0.0000026872574,0.0006472541,3.731562e-8,0.000040499486,0.98565745,9.867638e-7,0.001693218,0.0050004306,0.002887664],"study_design_scores_gemma":[0.00006039136,0.000027618542,0.0104771685,0.0000044545354,0.000962119,1.8278264e-8,0.000014209463,0.95967734,0.00001297857,0.02837585,0.0003432074,0.00004463464],"about_ca_topic_score_codex":0.0027487022,"about_ca_topic_score_gemma":0.00005698097,"teacher_disagreement_score":0.66316974,"about_ca_system_score_codex":0.00009712522,"about_ca_system_score_gemma":0.0005352055,"threshold_uncertainty_score":0.41552338},"labels":[],"label_agreement":null},{"id":"W4412526315","doi":"10.3390/risks13070140","title":"Enhanced Calibration of Spread Option Simulation Pricing","year":2025,"lang":"en","type":"article","venue":"Risks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Systems, Applications & Products in Data Processing (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Econometrics; Valuation of options; Computer science; Business; Economics; Mathematics; Statistics","score_opus":0.16386589131565232,"score_gpt":0.49043051958547745,"score_spread":0.32656462826982513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412526315","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":[0.19819023,0.000018317496,0.7960654,0.00018822147,0.000054937656,0.00020175737,0.0000034721525,0.000055457796,0.0052221986],"genre_scores_gemma":[0.99580747,0.000005358046,0.0031032232,0.00006988503,0.00002231702,0.000017008522,0.000006940265,0.000003195373,0.0009646128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988633,0.00005611797,0.00047040478,0.00020354659,0.0003363114,0.00007034945],"domain_scores_gemma":[0.9984745,0.0006895363,0.00020910644,0.0003471613,0.00026061523,0.000019129851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005658663,0.000056126883,0.000121055804,0.00022162008,0.0000849388,0.000050729002,0.00018120957,0.00006497748,0.00009680537],"category_scores_gemma":[0.00063142186,0.00004695687,0.00005360309,0.0008354423,0.000026983893,0.00020575502,0.000037192905,0.00004888574,0.000016108002],"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":[0.000028567634,0.0000726182,0.0051898514,0.0000065938607,0.000008734036,7.116928e-8,0.00030190818,0.46170068,0.04194016,0.07970519,0.00070420303,0.4103414],"study_design_scores_gemma":[0.00014582882,0.00001633315,0.021756165,0.000020147689,0.000008160101,4.6931593e-8,0.00008561305,0.7304273,0.16479242,0.08066075,0.0020293342,0.000057853762],"about_ca_topic_score_codex":0.000047694957,"about_ca_topic_score_gemma":0.0000061200303,"teacher_disagreement_score":0.79761726,"about_ca_system_score_codex":0.000024095914,"about_ca_system_score_gemma":0.00003144451,"threshold_uncertainty_score":0.19148456},"labels":[],"label_agreement":null},{"id":"W4412900350","doi":"10.1145/3721251.3736272","title":"MeshTorrent: A Community-Driven P2P System for AI-Generated 3D Model Creation and Distribution","year":2025,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Distribution (mathematics); Mathematics","score_opus":0.11442874592094354,"score_gpt":0.4396595020003415,"score_spread":0.32523075607939794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412900350","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":[0.039853018,0.000019543459,0.9538518,0.0009974387,0.000039494655,0.0005122087,0.00015926301,0.00017412328,0.0043930784],"genre_scores_gemma":[0.98901063,0.000003614087,0.0063661225,0.00018149847,0.000012115898,0.00017265309,0.00023947975,0.0000037164139,0.0040101474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990304,0.00011013476,0.00037007304,0.00018879476,0.00020601337,0.000094596435],"domain_scores_gemma":[0.99841547,0.0005510389,0.000087558634,0.00039822876,0.0005077808,0.000039934344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008767083,0.000078126235,0.00014172963,0.00010555785,0.000568508,0.00020573977,0.0002315775,0.00007273949,0.000014274827],"category_scores_gemma":[0.0002813565,0.000060239374,0.000043697848,0.00048215932,0.000040804563,0.00014575974,0.00008184026,0.000080962796,0.000006916167],"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":[0.000042435975,0.00011569038,0.002003457,0.000033855456,0.000019685773,5.11982e-8,0.00025642914,0.025522882,0.002366013,0.8709443,0.052608114,0.046087082],"study_design_scores_gemma":[0.0002449155,0.00001567156,0.00062599056,0.000017265065,0.000014776622,3.6234735e-7,0.00031784963,0.9616717,0.0026401507,0.02205405,0.0123344725,0.0000627644],"about_ca_topic_score_codex":0.00008438684,"about_ca_topic_score_gemma":0.000047414316,"teacher_disagreement_score":0.94915766,"about_ca_system_score_codex":0.0000708183,"about_ca_system_score_gemma":0.000047614274,"threshold_uncertainty_score":0.43725613},"labels":[],"label_agreement":null},{"id":"W4413032058","doi":"10.20944/preprints202508.0126.v1","title":"Simulation of Generalized Tempered Stable (GTS) Random Variates via Series Representations: A Case Study of Bitcoin and Ethereum","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"York University","funders":"","keywords":"Series (stratigraphy); Random variate; Mathematics; Computer science; Statistics; Random variable; Geology","score_opus":0.29707481252693524,"score_gpt":0.4930027967807957,"score_spread":0.1959279842538605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413032058","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":[0.96856487,0.00010095466,0.027318625,0.0001423056,0.00012611643,0.002723867,0.00012105105,0.00011040898,0.00079179695],"genre_scores_gemma":[0.995209,0.00004906302,0.00236938,0.000018709336,0.000030232115,0.00046328775,0.000023438228,0.000018304005,0.0018185836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949283,0.0008277813,0.0020564005,0.0011498966,0.00085554726,0.00018210155],"domain_scores_gemma":[0.9920215,0.0028766845,0.0013907622,0.002318353,0.001308837,0.00008383963],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031563346,0.0003061329,0.0009406685,0.0005833589,0.00020296892,0.00007103108,0.00068107276,0.00027493635,0.0006412094],"category_scores_gemma":[0.0030188812,0.0002713883,0.00019207482,0.0008512204,0.00015569506,0.0002511794,0.0016934196,0.0003162753,0.0000144905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038832243,0.00082578836,0.47024316,0.00012441007,0.00025580302,0.000017245686,0.009379387,0.5111095,0.0054277508,0.00066969736,0.000036016212,0.001522949],"study_design_scores_gemma":[0.0107054915,0.00027247972,0.17289405,0.00041034937,0.0008255404,0.00007441119,0.026676863,0.46559837,0.07521822,0.24440637,0.0015372746,0.0013805855],"about_ca_topic_score_codex":0.0067700953,"about_ca_topic_score_gemma":0.00034244574,"teacher_disagreement_score":0.29734913,"about_ca_system_score_codex":0.00004100726,"about_ca_system_score_gemma":0.00017032541,"threshold_uncertainty_score":0.99997383},"labels":[],"label_agreement":null},{"id":"W4413192612","doi":"10.22541/au.175500364.46958404/v1","title":"Assessment of survivability and importance analysis for networks managing intricate traffic flows","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Survivability; Computer science; Computer network","score_opus":0.107731660328107,"score_gpt":0.45874715107591957,"score_spread":0.3510154907478126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413192612","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":[0.07688395,0.00012602213,0.9182028,0.00061296544,0.00006760237,0.0009234509,0.000106073225,0.00007567864,0.0030014638],"genre_scores_gemma":[0.93569595,0.000077250195,0.06318563,0.00005893305,0.000022669186,0.00023599355,0.00006328886,0.000004295902,0.00065597275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99727774,0.000103073966,0.0011683585,0.0008524707,0.00045154052,0.00014682996],"domain_scores_gemma":[0.9953077,0.0022020396,0.00058195734,0.0012946441,0.0005547135,0.00005898972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036475696,0.00016801861,0.00069294043,0.0005623506,0.00009429455,0.00014929005,0.00066102896,0.00017170959,0.00015278903],"category_scores_gemma":[0.00028813173,0.00013169879,0.00037504084,0.0016918282,0.000060052993,0.000048958227,0.00055336824,0.00018826054,2.195035e-7],"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":[0.000004931574,0.000053957945,0.12904938,0.00003207684,0.00019195072,6.572547e-8,0.000026553593,0.80430275,0.0000015762433,0.011092743,0.00044520193,0.054798797],"study_design_scores_gemma":[0.00006524674,0.000006969227,0.109696016,0.000008078777,0.00019136092,3.1545323e-8,0.000053478307,0.84753424,0.0000060065113,0.041771896,0.0005623223,0.00010434417],"about_ca_topic_score_codex":0.00006320843,"about_ca_topic_score_gemma":0.00023439845,"teacher_disagreement_score":0.85881203,"about_ca_system_score_codex":0.0000494027,"about_ca_system_score_gemma":0.00009312852,"threshold_uncertainty_score":0.53705204},"labels":[],"label_agreement":null},{"id":"W4414121061","doi":"10.1016/j.ejor.2025.08.029","title":"Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods","year":2025,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Ivey Foundation; Simon Fraser University; Huawei Technologies (Canada)","funders":"","keywords":"Applications of artificial intelligence; Optimization problem; Optimization algorithm; Multitude; Engineering optimization; Mathematical model","score_opus":0.4907273405827899,"score_gpt":0.5660354031579511,"score_spread":0.0753080625751612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414121061","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006880991,0.00011577143,0.9846114,0.0073947855,0.000083630315,0.00032602993,0.000007898667,0.0000043187592,0.00057518977],"genre_scores_gemma":[0.6383294,0.000025177527,0.36103395,0.00009658436,0.00014224583,0.0000076087463,0.0000049164464,0.000005458857,0.0003547101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963783,0.0011714111,0.001195337,0.00019382764,0.0009317855,0.00012934061],"domain_scores_gemma":[0.99244577,0.0023099622,0.0002822299,0.00023892736,0.0046728,0.000050333827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020952217,0.00007082272,0.00014402732,0.00041819157,0.0006632343,0.0004160974,0.0004934716,0.00002920474,0.000057607103],"category_scores_gemma":[0.0071780677,0.00004616463,0.00008952765,0.0007051623,0.0001606554,0.0004120175,0.00011518031,0.000200642,0.000002052663],"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":[0.000044275137,0.000027869046,0.000025180567,0.0000021466362,0.000011715621,1.9746562e-7,0.0001454933,0.77272695,0.0052823927,0.13965017,0.0020233563,0.080060236],"study_design_scores_gemma":[0.00007028537,0.00006761566,0.0002449438,0.000011645896,0.000008968502,0.000004453808,0.00013290638,0.9044626,0.004905863,0.08888069,0.0011720364,0.00003804016],"about_ca_topic_score_codex":0.000001383592,"about_ca_topic_score_gemma":0.0000011205734,"teacher_disagreement_score":0.6314484,"about_ca_system_score_codex":0.000033868124,"about_ca_system_score_gemma":0.00026523715,"threshold_uncertainty_score":0.8593336},"labels":[],"label_agreement":null},{"id":"W4414196974","doi":"10.1109/lcn65610.2025.11146057","title":"SIMCODE: A Benchmark for Natural Language to ns-3 Network Simulation Code Generation","year":2025,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Queen's University","funders":"","keywords":"Scripting language; Benchmark (surveying); Code (set theory); Focus (optics); Natural language; Natural language generation; Automation; Code generation","score_opus":0.10257913547371757,"score_gpt":0.4863095816006462,"score_spread":0.38373044612692864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414196974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0255278,0.000104777835,0.96364415,0.003642104,0.00037424063,0.0010139245,0.000021689473,0.00015324775,0.0055180453],"genre_scores_gemma":[0.93513113,9.793175e-7,0.0383264,0.0033182346,0.000365909,0.00017065389,0.00006194592,0.0000064704423,0.02261825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985919,0.000042067542,0.000445071,0.00039203456,0.00035217407,0.0001767518],"domain_scores_gemma":[0.9978189,0.0011776842,0.000079586585,0.00047457253,0.00038211286,0.00006714304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009213267,0.00009770941,0.00013909428,0.00017285164,0.00026222132,0.00021834482,0.00031199877,0.00005570821,0.0002459158],"category_scores_gemma":[0.0011216233,0.00007654005,0.00008746204,0.0010401212,0.00001444235,0.00015069559,0.00006825822,0.00005352678,0.000055619515],"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":[0.000035044217,0.00002033421,0.00069142896,0.0000018980941,0.000006061441,8.9440505e-8,0.000120668774,0.6154654,0.0010587058,0.064660065,0.21360254,0.10433773],"study_design_scores_gemma":[0.000119050776,0.00001187744,0.0022661602,0.000004824949,0.0000057953407,4.645851e-8,0.000051563355,0.7604941,0.00063550845,0.01950325,0.21682648,0.000081348924],"about_ca_topic_score_codex":0.000011699642,"about_ca_topic_score_gemma":0.00012879292,"teacher_disagreement_score":0.92531776,"about_ca_system_score_codex":0.000040611172,"about_ca_system_score_gemma":0.000044741853,"threshold_uncertainty_score":0.31212127},"labels":[],"label_agreement":null},{"id":"W4414231624","doi":"10.1109/gem66882.2025.11155564","title":"Procedural Generation of Guard Paths in Stealth Games Using Level Geometry","year":2025,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Visibility; Guard (computer science); Traverse; Task (project management); Section (typography); Path (computing)","score_opus":0.37811785130413633,"score_gpt":0.4941623971937929,"score_spread":0.11604454588965657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414231624","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":[0.776366,0.00003156849,0.21944138,0.00060164667,0.000040559262,0.00020940855,0.000008235108,0.000024139246,0.0032770578],"genre_scores_gemma":[0.9790055,0.000004195938,0.018233519,0.00036008446,0.000017406159,0.000011908905,0.0000027648516,0.0000024435324,0.0023621612],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987905,0.00003879508,0.000541947,0.00021031579,0.000327628,0.000090810456],"domain_scores_gemma":[0.9991675,0.00019073334,0.00012467422,0.00026879908,0.0002286389,0.000019625526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008203709,0.000054282074,0.00013818481,0.00046429067,0.00005032973,0.00004659135,0.00020434274,0.000048205668,0.00014795308],"category_scores_gemma":[0.00044883543,0.000041133182,0.00003754844,0.0014913186,0.00002735892,0.00014029308,0.000051692525,0.000047533285,0.000006575783],"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":[0.000023917837,0.00033880232,0.27921498,0.00003718732,0.000013777894,7.0239946e-7,0.0006656736,0.013387993,0.079542845,0.24409506,0.031044615,0.35163444],"study_design_scores_gemma":[0.00067461334,0.000051964184,0.2556831,0.00006142833,0.000010250953,0.0000018650856,0.0015443705,0.53050715,0.10990686,0.09207077,0.009226121,0.0002615142],"about_ca_topic_score_codex":0.0001849959,"about_ca_topic_score_gemma":0.00012069298,"teacher_disagreement_score":0.51711917,"about_ca_system_score_codex":0.00003843684,"about_ca_system_score_gemma":0.00012963713,"threshold_uncertainty_score":0.16773625},"labels":[],"label_agreement":null},{"id":"W4414565355","doi":"","title":"Incorporating Human-In-The-Loop interactivity through the integration of discrete event simulation and virtual reality","year":2025,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"York University","funders":"Agence Nationale de la Recherche","keywords":"Interactivity; Virtual reality; Event (particle physics); Virtual world; Visualization; Augmented reality","score_opus":0.07112976636541903,"score_gpt":0.3905391848479662,"score_spread":0.31940941848254717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414565355","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":[0.004044376,0.00015531605,0.6969441,0.006539232,0.000058935435,0.00084782665,0.00008258379,0.000091335045,0.29123628],"genre_scores_gemma":[0.9050295,0.000042480104,0.0033059553,0.000107374726,0.000019934323,0.000066257446,0.00012332344,0.000036313926,0.09126888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9922281,0.005438915,0.00087840157,0.00056072476,0.0007468967,0.00014699363],"domain_scores_gemma":[0.988144,0.0077139437,0.0012416891,0.0018960555,0.0009696634,0.00003466315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009415291,0.0002217429,0.00033893072,0.00024666253,0.00032681372,0.00030661904,0.0011711967,0.0001862511,0.00020251828],"category_scores_gemma":[0.00426558,0.00014517382,0.00013154103,0.0009821003,0.0003469892,0.00020500105,0.00036078994,0.0003809517,0.000007885202],"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":[0.000015903228,0.00039904466,0.0011770509,0.0000341974,0.00003603939,7.039225e-7,0.008743279,0.0012903232,0.001043837,0.84481245,0.019635174,0.12281198],"study_design_scores_gemma":[0.0015795265,0.000007315338,0.02059739,0.004774166,0.00016450218,0.000006623153,0.005846571,0.29041082,0.013386063,0.35816008,0.30387154,0.0011953969],"about_ca_topic_score_codex":0.0038183064,"about_ca_topic_score_gemma":0.0071992804,"teacher_disagreement_score":0.9009851,"about_ca_system_score_codex":0.000049294347,"about_ca_system_score_gemma":0.00009831732,"threshold_uncertainty_score":0.5920016},"labels":[],"label_agreement":null},{"id":"W4414683944","doi":"10.21535/ezdthf63","title":"Development and Application of A Reconfigurable Engineering Flight Simulator at Ryerson University","year":2015,"lang":"en","type":"article","venue":"The Journal of Instrumentation Automation and Systems","topic":"Simulation Techniques and Applications","field":"Decision 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":"Toronto Metropolitan University","funders":"","keywords":"Flight simulator; Flight management system; Fly-by-wire; Overhead (engineering); Software; Flight training; Cockpit; Work flow","score_opus":0.07081150276393418,"score_gpt":0.3201235905078121,"score_spread":0.24931208774387792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414683944","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":[0.93547547,0.000070931164,0.06366736,0.00021156753,0.00006943235,0.00019459632,0.000002236768,0.00001525991,0.00029314897],"genre_scores_gemma":[0.99780595,0.000013325627,0.0019318062,0.000012833616,0.000014906413,0.0000012534372,0.0000017940315,0.0000031058648,0.00021503006],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878895,0.00009277087,0.0005614119,0.00007125404,0.0004355957,0.000050005994],"domain_scores_gemma":[0.9985073,0.00022146074,0.0007303059,0.00010895067,0.00035863632,0.00007335352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019396301,0.000056832305,0.00014103105,0.00017905282,0.00010205064,0.000044826542,0.00012264783,0.00003354551,0.0000068912086],"category_scores_gemma":[0.00010987264,0.00003877749,0.000018413468,0.0002513721,0.000027293654,0.00027059726,0.000019583791,0.000040093466,0.0000052421096],"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":[0.0007309792,0.00025661432,0.05438834,0.00024091128,0.00030791666,0.0000032067758,0.08054401,0.23043494,0.107569925,0.07860873,0.0064639146,0.44045052],"study_design_scores_gemma":[0.0015439293,0.00010475914,0.025363393,0.00007434801,0.00003991273,0.000112410475,0.018401457,0.85911506,0.017741533,0.0004892197,0.07685331,0.00016064676],"about_ca_topic_score_codex":0.00001997124,"about_ca_topic_score_gemma":0.0000043199743,"teacher_disagreement_score":0.6286801,"about_ca_system_score_codex":0.000094825824,"about_ca_system_score_gemma":0.000045705983,"threshold_uncertainty_score":0.15813002},"labels":[],"label_agreement":null},{"id":"W4414693498","doi":"10.1109/lcsys.2025.3616827","title":"Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","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":"Université de Montréal; Université du Québec; University of Ottawa","funders":"Science and Engineering Research Board; Indian Institute of Technology Madras","keywords":"Function (biology); Convergence (economics); Controller (irrigation); Set (abstract data type); Bellman equation; Grid; Realization (probability); Value (mathematics); Resource (disambiguation)","score_opus":0.03933704527654486,"score_gpt":0.36357429509630396,"score_spread":0.3242372498197591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414693498","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":[0.059675846,0.0001898034,0.9258674,0.007852889,0.0018806364,0.003829676,0.00022095678,0.0002529007,0.0002299012],"genre_scores_gemma":[0.9937484,7.7554404e-7,0.00009114985,0.0025546697,0.0005673037,0.0021790017,0.000007591136,0.000025530444,0.0008255567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99602425,0.00048028553,0.0012086986,0.00076777796,0.0009522502,0.0005667154],"domain_scores_gemma":[0.9918217,0.0062115937,0.00038979878,0.000922752,0.00045719967,0.00019696968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017625736,0.00029951739,0.000941784,0.00036663376,0.00033876143,0.000656931,0.00089082384,0.00014567267,0.000007759813],"category_scores_gemma":[0.00092813704,0.00023150447,0.0004050267,0.0006190714,0.00015425365,0.00017021755,0.000022578624,0.00020908032,0.00009643289],"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":[0.0007228202,0.00028905546,0.0011295344,0.00008560894,0.00043501257,0.0000075929283,0.00022061466,0.5435704,0.08472529,0.18871759,0.17601302,0.0040834886],"study_design_scores_gemma":[0.006097562,0.000058818692,0.0004963271,0.00009644231,0.00013268413,0.0000064174005,0.00007859358,0.9437306,0.000077471705,0.0034250035,0.045476355,0.00032373532],"about_ca_topic_score_codex":0.0001124444,"about_ca_topic_score_gemma":0.0000028527256,"teacher_disagreement_score":0.93407255,"about_ca_system_score_codex":0.00014818556,"about_ca_system_score_gemma":0.00009400862,"threshold_uncertainty_score":0.9440478},"labels":[],"label_agreement":null},{"id":"W4415102159","doi":"10.48550/arxiv.2506.22621","title":"Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design","year":2025,"lang":"en","type":"preprint","venue":"elib (German Aerospace Center)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Toolbox; Feature (linguistics); Graph; Hierarchical database model; Representation (politics); Variable (mathematics); Hierarchical control system; Architecture","score_opus":0.13931839499315263,"score_gpt":0.43754290553001346,"score_spread":0.29822451053686083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415102159","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":[0.0017071916,0.0046452526,0.9676428,0.021086955,0.00027968554,0.003632985,0.00045554573,0.0003277302,0.00022185738],"genre_scores_gemma":[0.1934443,0.0046123113,0.78306526,0.011842672,0.0003523036,0.0022188968,0.00047878406,0.00013214198,0.0038533374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99571353,0.00044572336,0.0010530908,0.0014513495,0.00084243243,0.00049386604],"domain_scores_gemma":[0.99449676,0.002437912,0.00045226884,0.0018075107,0.0005301143,0.0002754224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022769049,0.00054212316,0.0010345506,0.00035923073,0.00032177268,0.00057913206,0.0013204335,0.00055806496,0.0000945023],"category_scores_gemma":[0.0018314893,0.00044825842,0.00043091903,0.0006400746,0.00015313081,0.00007630002,0.0007623445,0.0011412078,0.00001753129],"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":[0.001079224,0.0014331429,0.0017810436,0.010635438,0.00052295544,0.000020836582,0.0042721,0.5439627,0.00019967415,0.1790247,0.15523638,0.10183183],"study_design_scores_gemma":[0.00093366747,0.000095991854,0.00007114501,0.006675858,0.00025394734,0.000004324799,0.000053872584,0.44885495,0.00025443418,0.48047107,0.06137439,0.00095631374],"about_ca_topic_score_codex":0.00001691905,"about_ca_topic_score_gemma":0.00001340769,"teacher_disagreement_score":0.3014464,"about_ca_system_score_codex":0.00007873853,"about_ca_system_score_gemma":0.0003244008,"threshold_uncertainty_score":0.9997969},"labels":[],"label_agreement":null},{"id":"W4415116397","doi":"10.3390/futuretransp5040141","title":"Parallel Multi-Level Simulation for Large-Scale Detailed Intelligent Transportation System Modeling","year":2025,"lang":"en","type":"article","venue":"Future Transportation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Alpha Technologies (Canada)","funders":"Russian Science Foundation","keywords":"Intelligent transportation system; Traffic simulation; Task (project management); Modeling and simulation; Architecture; Simulation modeling; Scale (ratio); Complex system","score_opus":0.11550672417556127,"score_gpt":0.40132180633518455,"score_spread":0.28581508215962326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415116397","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049801305,0.00010535691,0.94644094,0.0004830231,0.00043944636,0.0017924065,0.0005240462,0.00031290713,0.00010058321],"genre_scores_gemma":[0.8970418,0.00001263453,0.10042676,0.00014218737,0.0001472001,0.0005206687,0.0011052708,0.0000225654,0.00058089994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970224,0.000057518922,0.0013640334,0.000662814,0.0006161436,0.00027709024],"domain_scores_gemma":[0.99782175,0.00037973156,0.00030937258,0.000469655,0.000934745,0.00008473443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010321983,0.00023945232,0.00034635566,0.00037081615,0.0003905644,0.00011271183,0.00035607984,0.00024785567,0.00005495982],"category_scores_gemma":[0.00006082917,0.00020994582,0.0003047906,0.0009263535,0.00001688136,0.0003803988,0.0000022944203,0.00013707775,0.000022882987],"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":[0.0001928359,0.00010980062,0.003309011,0.00006466639,0.000023472252,4.4877885e-7,0.001659482,0.94562745,0.0001372812,0.037867088,0.00025046465,0.010757977],"study_design_scores_gemma":[0.0015343594,0.00002380017,0.030392677,0.000052386775,0.00009114014,9.137041e-8,0.0037989109,0.95061654,0.00034441473,0.004698176,0.008236197,0.00021133898],"about_ca_topic_score_codex":0.000020910295,"about_ca_topic_score_gemma":0.0014095695,"teacher_disagreement_score":0.8472405,"about_ca_system_score_codex":0.000090500005,"about_ca_system_score_gemma":0.000078237164,"threshold_uncertainty_score":0.8561342},"labels":[],"label_agreement":null},{"id":"W4415328723","doi":"10.1088/1475-7516/2025/11/040","title":"A simulation framework for the <i>LiteBIRD</i> instruments","year":2025,"lang":"en","type":"preprint","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Nuclear Physics; Centre National de la Recherche Scientifique; Japan Aerospace Exploration Agency; Centre National d’Etudes Spatiales; Japan Society for the Promotion of Science; Norges Forskningsråd; Ministry of Education, Culture, Sports, Science and Technology; Istituto Nazionale di Astrofisica; Canadian Space Agency; Deutsche Forschungsgemeinschaft","keywords":"Cosmic microwave background; Pipeline (software); Pipeline transport; Cosmic background radiation; Python (programming language); Sky; Satellite; Cosmic ray; Kinematics; Cosmology","score_opus":0.13544249379255188,"score_gpt":0.4604250043018349,"score_spread":0.32498251050928306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415328723","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":[0.23094279,0.00010627745,0.7661326,0.002297516,0.00025261057,0.00021988529,0.000024023599,0.0000073373135,0.000016986927],"genre_scores_gemma":[0.9713904,0.000016246111,0.027828768,0.00042113478,0.0002587247,0.000020863941,0.000001103135,0.000004140694,0.000058615922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99870354,0.00007401244,0.00064160064,0.00016475948,0.00029858635,0.00011748698],"domain_scores_gemma":[0.99369085,0.004566853,0.0007785403,0.0003247484,0.0005935282,0.000045509452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009811838,0.000101300226,0.0002707206,0.000052976815,0.0001767232,0.00011374344,0.00042208785,0.00011605955,0.000008237594],"category_scores_gemma":[0.0010725671,0.00006320326,0.00016329603,0.00018605751,0.00011243223,0.00008711923,0.00022015956,0.00038387632,0.0000018671466],"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":[0.00018399567,0.00013578884,0.012545812,0.00001229052,0.000108506945,5.124607e-7,0.000291103,0.47758183,0.000077054276,0.18059246,0.0009378619,0.3275328],"study_design_scores_gemma":[0.00019383962,0.000065620756,0.0026424355,0.000031320124,0.00006314062,0.0000012557824,0.000054745287,0.14823407,0.0006336686,0.8451496,0.0028830925,0.000047249378],"about_ca_topic_score_codex":0.0000019077224,"about_ca_topic_score_gemma":2.4006872e-7,"teacher_disagreement_score":0.74044764,"about_ca_system_score_codex":0.00001654682,"about_ca_system_score_gemma":0.000100754005,"threshold_uncertainty_score":0.2577354},"labels":[],"label_agreement":null},{"id":"W4415353261","doi":"10.1109/lra.2025.3623436","title":"Breaking the Static Assumption: A Dynamic-Aware LIO Framework via Spatio-Temporal Normal Analysis","year":2025,"lang":"","type":"article","venue":"IEEE Robotics and Automation Letters","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":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Consistency (knowledge bases); Point cloud; Point (geometry); Face (sociological concept); Perspective (graphical); Identification (biology); Dynamic data; Dependency (UML)","score_opus":0.024011100046561006,"score_gpt":0.3512024607141185,"score_spread":0.3271913606675575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415353261","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":[0.056333806,0.00011677518,0.8844308,0.057555165,0.0005827721,0.0006820288,0.000050238144,0.00016897665,0.00007938699],"genre_scores_gemma":[0.9673268,0.00007158297,0.025899515,0.006022806,0.000102601116,0.000069315385,0.00008088347,0.000020679478,0.00040581464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99568367,0.0003686797,0.0015761899,0.0008236579,0.0011024546,0.00044532717],"domain_scores_gemma":[0.9954795,0.0019556158,0.0008957451,0.0011222169,0.0004111618,0.00013573277],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001578332,0.00040338622,0.00059194595,0.0010804045,0.0014981295,0.0016064944,0.000747819,0.00026613212,0.0003471631],"category_scores_gemma":[0.00019248825,0.00032123236,0.000380447,0.00508586,0.00034615688,0.000570591,0.00015675179,0.00048019862,0.00006828379],"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":[0.000020857053,0.000116775955,0.01520546,0.00006004304,0.0006039009,0.000004375185,0.001110895,0.9113417,0.00016431088,0.008599715,0.0039859256,0.058786],"study_design_scores_gemma":[0.00022724127,0.000023780438,0.040451355,0.0001266535,0.0008050788,0.0000032008845,0.00024336443,0.945468,0.00006134438,0.009892152,0.0023708828,0.0003269541],"about_ca_topic_score_codex":0.00012758018,"about_ca_topic_score_gemma":0.00011919241,"teacher_disagreement_score":0.910993,"about_ca_system_score_codex":0.00016410598,"about_ca_system_score_gemma":0.000118116346,"threshold_uncertainty_score":0.999924},"labels":[],"label_agreement":null},{"id":"W4415518431","doi":"10.1007/978-3-032-00877-0_5","title":"BCEAweb: A User-Friendly Web App to Use BCEA","year":2025,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Web application; Interface (matter); Probabilistic logic; The Internet; Web service; User interface","score_opus":0.12237715041671955,"score_gpt":0.3917415333936228,"score_spread":0.26936438297690324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415518431","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007460974,0.00008598258,0.06818294,0.0026437277,0.0005995972,0.0021991504,0.0013030308,0.0009392754,0.9233002],"genre_scores_gemma":[0.0044280207,0.000058228783,0.015347955,0.0017717954,0.00012631588,0.000078696336,0.00004993439,0.00004810625,0.97809094],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99650615,0.000033791624,0.00094869226,0.0010102309,0.0012240453,0.00027708904],"domain_scores_gemma":[0.99462026,0.0019790856,0.00032339033,0.0021720412,0.0006600422,0.00024519747],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000583659,0.00037172425,0.0005343114,0.00083626306,0.00020058994,0.00083836284,0.0011369066,0.00040791556,0.0034626038],"category_scores_gemma":[0.0012821828,0.00031379604,0.0003194277,0.0003882932,0.00007094413,0.00035044528,0.00048057307,0.0003322494,0.0037229469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000103127295,0.000013542102,0.00012901601,0.0000031602574,0.000016139846,0.000004542736,0.00002739533,0.000026370897,0.000023111592,0.4154685,0.5692927,0.014985189],"study_design_scores_gemma":[0.00010450776,0.00003188019,0.00019538564,0.00008170012,0.00002898186,0.0000020117473,0.000007918128,0.00034543235,0.00004942953,0.030682309,0.9681492,0.00032127995],"about_ca_topic_score_codex":0.000064096566,"about_ca_topic_score_gemma":0.00010153495,"teacher_disagreement_score":0.39885646,"about_ca_system_score_codex":0.000087544715,"about_ca_system_score_gemma":0.00021958046,"threshold_uncertainty_score":0.9999314},"labels":[],"label_agreement":null},{"id":"W4416716344","doi":"10.1080/03155986.2025.2592355","title":"Simulation-based generation of heuristics for decision-making in stochastic environments","year":2025,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Technische Universität Wien Bibliothek; Technische Universität Wien","keywords":"Heuristics; Work (physics); Feature (linguistics); Matching (statistics)","score_opus":0.20253878579839332,"score_gpt":0.5018637328938842,"score_spread":0.29932494709549085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416716344","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":[0.02212869,0.00004872306,0.9751954,0.00018449617,0.000107786516,0.0013760214,0.00010902399,0.000009598297,0.00084025005],"genre_scores_gemma":[0.99476767,0.0000026304988,0.00441056,0.0001336971,0.000036695314,0.000360889,0.00007139488,0.0000036599686,0.00021283666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99692893,0.000089344976,0.0013495986,0.00017565391,0.0012896709,0.00016680888],"domain_scores_gemma":[0.98654777,0.011649915,0.0002034997,0.00029144995,0.0012645455,0.000042806845],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004397921,0.00009135684,0.00019455627,0.0012231976,0.00033043916,0.00044703035,0.00025144249,0.000107462154,0.000030952408],"category_scores_gemma":[0.012039051,0.00007705971,0.000042004336,0.0009166615,0.000089863584,0.0008489788,0.00006584723,0.000110896784,0.00001913077],"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":[0.000040548886,0.000018221812,0.0009798103,0.000014328562,0.0000032540136,2.5067669e-8,0.00014264177,0.9040734,0.000040918163,0.07629473,0.00065111433,0.017741011],"study_design_scores_gemma":[0.0003994868,0.000035353336,0.002925056,0.00009460211,0.0000018384849,1.3420336e-7,0.00029851389,0.96741736,0.00005846531,0.004363252,0.024340456,0.00006546667],"about_ca_topic_score_codex":0.00003270933,"about_ca_topic_score_gemma":0.000012130568,"teacher_disagreement_score":0.97263896,"about_ca_system_score_codex":0.00010881855,"about_ca_system_score_gemma":0.000280082,"threshold_uncertainty_score":0.99628294},"labels":[],"label_agreement":null},{"id":"W560843404","doi":"","title":"Summer Computer Simulation Conference and Work in Progress (SCSC 2013 and WIP 2013) : 2013 Summer Simulation Multiconference : Toronto, Ontario, Canada 7-10 July 2013","year":2013,"lang":"en","type":"book","venue":"Medical Entomology and Zoology","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Operations research; Engineering","score_opus":0.068362920221162,"score_gpt":0.35871012717473233,"score_spread":0.2903472069535703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W560843404","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":[0.7000529,0.047355335,0.11984026,0.07067315,0.007690862,0.017254539,0.000459588,0.0008280269,0.035845317],"genre_scores_gemma":[0.841027,0.0012278601,0.0014604789,0.0014248061,0.0002447947,0.00021722236,0.00026655852,0.000042933032,0.15408833],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99527395,0.00045896208,0.0013628751,0.0013125872,0.0009643998,0.00062719965],"domain_scores_gemma":[0.9936517,0.003982875,0.0005899621,0.000614114,0.00061414734,0.00054721534],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011730662,0.00054915063,0.0010896333,0.0002577755,0.00022073128,0.00015382636,0.0005796547,0.0015442607,0.012293865],"category_scores_gemma":[0.00030920136,0.00044895735,0.00006312487,0.0001520076,0.0013154543,0.00034504794,0.00048704038,0.00089382037,0.00010837572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043244415,0.00035079016,0.12869664,0.000107714564,0.00019844061,0.00012730357,0.0025256178,0.0060262205,0.0000019412355,0.010371659,0.53626806,0.31489316],"study_design_scores_gemma":[0.0019610864,0.00032970624,0.1247534,0.00023128021,0.00009517756,0.000048036647,0.000062318264,0.3427007,0.0000015664704,0.028978007,0.4998476,0.0009911419],"about_ca_topic_score_codex":0.67226523,"about_ca_topic_score_gemma":0.93904954,"teacher_disagreement_score":0.33667448,"about_ca_system_score_codex":0.0002735755,"about_ca_system_score_gemma":0.0011417633,"threshold_uncertainty_score":0.9997962},"labels":[],"label_agreement":null},{"id":"W573165308","doi":"","title":"SIGMETRICS 2005 : International Conference on Measurement and Modeling of Computer Systems : June 6-10, 2003 : Banff, Alberta, Canada : proceedings","year":2005,"lang":"en","type":"book","venue":"Association for Computing Machinery eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Library science; Regional science; Computer science","score_opus":0.09705070338188386,"score_gpt":0.32507710513009985,"score_spread":0.22802640174821598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W573165308","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005272793,0.00016510737,0.12643328,0.001860681,0.0033512274,0.0028447318,0.00049642223,0.00017023805,0.864151],"genre_scores_gemma":[0.21575673,0.00001046098,0.0031095035,0.00028911774,0.0012059534,0.000050432714,0.00013893124,0.00005953161,0.7793793],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947569,0.000054192376,0.0014808835,0.00069683086,0.0026915867,0.0003196451],"domain_scores_gemma":[0.99134094,0.0011465367,0.002057652,0.000274635,0.005054566,0.0001256786],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033310978,0.00034959786,0.0006593893,0.0005000507,0.0002586624,0.0003520564,0.0006551445,0.00030020837,0.000037260874],"category_scores_gemma":[0.0013975903,0.00032743486,0.00013391278,0.00018347472,0.000025487723,0.000075909826,0.00017091911,0.00032370177,0.0000059284916],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039780272,0.0000636203,0.0004233833,0.00007352548,0.00027248007,3.2724967e-7,0.00027270516,0.05983829,0.000013550061,0.09077426,0.81920534,0.029022718],"study_design_scores_gemma":[0.00029792733,0.000029727837,0.000031238636,0.0001435555,0.000037139238,8.9667765e-7,0.000021018683,0.692978,0.0000069110215,0.0019536398,0.30427068,0.0002292685],"about_ca_topic_score_codex":0.010266915,"about_ca_topic_score_gemma":0.018675841,"teacher_disagreement_score":0.6331397,"about_ca_system_score_codex":0.0017284671,"about_ca_system_score_gemma":0.001169384,"threshold_uncertainty_score":0.99991775},"labels":[],"label_agreement":null},{"id":"W57780628","doi":"10.1007/978-1-84628-622-3_3","title":"DEDS Stochastic Behaviour and Data Modelling","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Econometrics; Computer science; Economics","score_opus":0.5527742683493647,"score_gpt":0.4908749317560465,"score_spread":0.0618993365933182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W57780628","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017118535,0.00012052823,0.66167235,0.000085182626,0.000028615106,0.00017935618,0.000091206115,0.00007215367,0.33773348],"genre_scores_gemma":[0.046250865,0.000048711263,0.039955966,0.00023375038,0.00013978584,0.0000051629827,0.00015004912,0.000038277714,0.91317743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977899,0.0000052313458,0.0005667518,0.00072576886,0.00078560895,0.00012671306],"domain_scores_gemma":[0.9971445,0.00061055284,0.00020085227,0.0017184528,0.00021641182,0.00010923549],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012128884,0.00017409012,0.00024157154,0.00028565474,0.000121256955,0.00017958264,0.00097588194,0.00023515473,0.0017315281],"category_scores_gemma":[0.0000671815,0.00013494756,0.000045011326,0.000060260347,0.00008475358,0.00014695797,0.0005314937,0.00020253645,0.00025589633],"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":[0.0000049810747,0.000011921202,0.00003719184,0.0000016531125,0.000010196229,0.0000026100897,0.000029353994,0.0031916583,0.0000010366279,0.8867591,0.015048221,0.09490208],"study_design_scores_gemma":[0.00007492414,0.000014569019,0.000018692148,0.000021522832,0.000040273946,0.000008573098,0.000019959225,0.28489202,0.0000032138591,0.5096445,0.20498785,0.000273856],"about_ca_topic_score_codex":0.000029913012,"about_ca_topic_score_gemma":0.00002680479,"teacher_disagreement_score":0.6217164,"about_ca_system_score_codex":0.000014336471,"about_ca_system_score_gemma":0.00003578344,"threshold_uncertainty_score":0.99918103},"labels":[],"label_agreement":null},{"id":"W585425204","doi":"","title":"Proceedings of the IASTED International Conferences on : Computers and Advanced Technology in Education : Modelling, Simulation, and Identification : Environmental Management and Engineering : July 16-17, 2014, Banff, Canada","year":2014,"lang":"en","type":"book","venue":"ACTA Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Engineering; Engineering management; Engineering ethics; Ecology; Biology","score_opus":0.02530748905864971,"score_gpt":0.27775638710427936,"score_spread":0.25244889804562964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W585425204","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":[0.5935717,0.0014717564,0.04668681,0.0033061,0.0019187224,0.011738646,0.0005048642,0.00034427625,0.34045708],"genre_scores_gemma":[0.9522652,0.000056451652,0.0005133529,0.000045612505,0.000019656642,0.00007337331,0.000016841983,0.000011384017,0.04699813],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985726,0.0000101291125,0.00048079592,0.00041937007,0.00042709775,0.00009004842],"domain_scores_gemma":[0.9990134,0.00021748777,0.0004237678,0.0002161535,0.000093529394,0.000035648452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022193456,0.00015891824,0.00018851606,0.00026938348,0.000067305,0.00009458538,0.00036026785,0.000115345254,0.0000041355147],"category_scores_gemma":[0.000028020928,0.00013187015,0.000017589764,0.000032604014,0.00010623321,0.000084973806,0.00019332668,0.00015109596,1.9180382e-7],"study_design_candidate":"not_applicable","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":[0.00012458363,0.0001865944,0.004620906,0.00030971062,0.00022402004,8.0014587e-7,0.001968774,0.12221278,0.0012088611,0.2454729,0.053720333,0.56994975],"study_design_scores_gemma":[0.0004863533,0.000038934137,0.0063384366,0.0004186033,0.000044543376,0.0000036443232,0.00023960027,0.38581637,0.0007436548,0.026963761,0.57853526,0.0003708695],"about_ca_topic_score_codex":0.00052791124,"about_ca_topic_score_gemma":0.0004174036,"teacher_disagreement_score":0.5695789,"about_ca_system_score_codex":0.00011171905,"about_ca_system_score_gemma":0.0000724481,"threshold_uncertainty_score":0.5377509},"labels":[],"label_agreement":null},{"id":"W5874211","doi":"","title":"Experiences in modeling and simulation of computer architectures in DEVS","year":2001,"lang":"en","type":"article","venue":"Transactions of The Society for Computer Simulation International","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Process (computing); Reduction (mathematics); Architecture; Software engineering; Computer architecture; Modeling and simulation; Simulation; Programming language","score_opus":0.0792182876468102,"score_gpt":0.38940568749645715,"score_spread":0.31018739984964694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W5874211","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":[0.43616855,0.000010452535,0.5631977,0.00023440253,0.00012307528,0.00022983072,0.000008966517,0.000010074526,0.000016939],"genre_scores_gemma":[0.9604813,0.000004553239,0.039302994,0.000070702,0.00005605822,0.000039643877,0.0000039703036,0.0000065423824,0.000034228575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983393,0.000044192322,0.0007808626,0.00025900948,0.00047329246,0.0001033573],"domain_scores_gemma":[0.99810183,0.0011053531,0.00022632125,0.00022771004,0.00031649653,0.00002229429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055356626,0.000099220335,0.00018369932,0.00022364168,0.00008888334,0.000041394178,0.00041695085,0.000074410156,0.000046096782],"category_scores_gemma":[0.000044803553,0.00007843025,0.000328675,0.00055089773,0.00009293512,0.00019067449,0.00003278592,0.000097980854,3.5619007e-7],"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":[0.000028466293,0.00006472751,0.004008674,0.0000039837514,0.000014816325,2.2474875e-8,0.0040976,0.9694755,0.000021023918,0.00022966086,0.000007159245,0.022048356],"study_design_scores_gemma":[0.0005394255,0.000026547898,0.006375239,0.00002845549,0.000005579457,8.551915e-7,0.00041873916,0.98418474,0.00007153709,0.008032471,0.00024369826,0.00007272297],"about_ca_topic_score_codex":0.000053146425,"about_ca_topic_score_gemma":0.000039445462,"teacher_disagreement_score":0.52431273,"about_ca_system_score_codex":0.00004069046,"about_ca_system_score_gemma":0.000025605019,"threshold_uncertainty_score":0.31982926},"labels":[],"label_agreement":null},{"id":"W596932912","doi":"","title":"The proceedings of the 2003 Summer Computer Simulation Conference : SCSC 2003, July 20-24, 2003, Montreal, Quebec, Canada","year":2003,"lang":"en","type":"book","venue":"Society for Computer Simulation International eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meteorology; Environmental science; Library science; Geography; Computer science","score_opus":0.060973860882148165,"score_gpt":0.3312507904996999,"score_spread":0.27027692961755173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W596932912","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044669883,0.0002851656,0.85131925,0.002490965,0.009310142,0.008221049,0.0017509735,0.00025903378,0.12591673],"genre_scores_gemma":[0.02151934,0.000022180011,0.013702244,0.0025710044,0.0015540555,0.00026555662,0.0004066611,0.00011729678,0.95984167],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99358755,0.00007452993,0.002047971,0.0010477036,0.002766458,0.00047579038],"domain_scores_gemma":[0.977538,0.0017736533,0.0022114024,0.0008205805,0.017500697,0.00015568099],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012178364,0.00061686814,0.00064661016,0.00014364826,0.0009826665,0.00084401056,0.0023224629,0.000497647,0.00012690481],"category_scores_gemma":[0.0005172977,0.00043105963,0.00068551674,0.00071536814,0.00039614257,0.0003033418,0.0003917218,0.00058497157,0.00001888675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026839072,0.000029099772,0.00007847991,0.000016900683,0.00019679725,1.3923751e-7,0.00025814027,0.21423161,0.0000026900407,0.018362476,0.7512159,0.015580973],"study_design_scores_gemma":[0.00038535194,0.00001960792,0.0001908583,0.00007460725,0.000042378455,7.550806e-7,0.00002502795,0.48497483,0.00002179079,0.00940851,0.5046058,0.00025044306],"about_ca_topic_score_codex":0.005394325,"about_ca_topic_score_gemma":0.029432151,"teacher_disagreement_score":0.837617,"about_ca_system_score_codex":0.0008611481,"about_ca_system_score_gemma":0.0034087761,"threshold_uncertainty_score":0.9998141},"labels":[],"label_agreement":null},{"id":"W596945942","doi":"","title":"Proceedings of the 22nd IASTED International Conference on Modelling and Simulation, July 4-6, 2011, Calgary, AB, Canada","year":2011,"lang":"en","type":"book","venue":"ACTA Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Regional science; Political science; Operations research; Geography; Library science; Computer science; Engineering","score_opus":0.2003485452400532,"score_gpt":0.34639395240666876,"score_spread":0.14604540716661557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W596945942","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012159138,0.000022046213,0.0016901824,0.00011968864,0.00019191261,0.00070649764,0.0001464887,0.000038111993,0.99586916],"genre_scores_gemma":[0.45252678,0.000014368094,0.0003284188,0.00012842241,0.00006874615,0.00003500532,0.000009390414,0.000022325059,0.54686654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997532,0.000018123841,0.00068432343,0.0004894821,0.0011314395,0.00014464688],"domain_scores_gemma":[0.99713737,0.00042101153,0.0007665158,0.00044096552,0.0011534544,0.000080682665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033038555,0.00022719921,0.00029251532,0.00011225884,0.00013915141,0.00013506047,0.0011386545,0.00019984886,0.0001406669],"category_scores_gemma":[0.0000963737,0.00015747172,0.00007490507,0.000023879304,0.00015006977,0.000094188246,0.0002756143,0.00029447736,0.000003470974],"study_design_candidate":"not_applicable","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":[0.0001562302,0.000076490025,0.00012672224,0.00007078566,0.00019137033,0.0000016595516,0.001932018,0.010472907,0.00030948597,0.5571027,0.40947324,0.020086385],"study_design_scores_gemma":[0.00021056936,0.000025120044,0.000129514,0.000148036,0.00003856855,0.0000020566208,0.000024001996,0.1838385,0.0013137853,0.06808941,0.74589914,0.0002812756],"about_ca_topic_score_codex":0.016524926,"about_ca_topic_score_gemma":0.0028546883,"teacher_disagreement_score":0.48901328,"about_ca_system_score_codex":0.0000763883,"about_ca_system_score_gemma":0.00046722335,"threshold_uncertainty_score":0.99002415},"labels":[],"label_agreement":null},{"id":"W605437018","doi":"","title":"Proceedings of the 20th IASTED International Conference on Modelling and Simulation, July 6-8, 2009, Banff, Alberta, Canada","year":2009,"lang":"en","type":"book","venue":"ACTA Press eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Regional science; Operations research; Political science; Engineering","score_opus":0.12041930197989092,"score_gpt":0.34266828566279217,"score_spread":0.22224898368290125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W605437018","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012169497,0.000018020113,0.0007368013,0.00039437588,0.000106430976,0.0006869432,0.000121776975,0.000028267697,0.99669045],"genre_scores_gemma":[0.451519,0.000009146846,0.00017554514,0.00026092306,0.00007437575,0.000018746796,0.000010759999,0.000015574988,0.5479159],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973246,0.000018811517,0.0007131928,0.000502756,0.0012856354,0.00015500457],"domain_scores_gemma":[0.99694365,0.0007259562,0.0007593496,0.00042563173,0.0010657038,0.00007970415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028996202,0.00024082132,0.00031247648,0.00011710365,0.00014617616,0.00019754744,0.0010729954,0.00019635723,0.000055584635],"category_scores_gemma":[0.00019312077,0.0001695283,0.00008035125,0.000043825617,0.000104220584,0.0001012669,0.00016131449,0.0003029763,0.0000019766674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011725744,0.00006988253,0.00007107696,0.000039209423,0.00012847643,0.0000010256408,0.0013334819,0.08175773,0.00014976515,0.30472246,0.58885056,0.022759033],"study_design_scores_gemma":[0.00018175249,0.000023893204,0.000105060695,0.00015426002,0.000028412042,0.0000015534289,0.000019725985,0.21850337,0.0005173055,0.041454308,0.73878574,0.0002246375],"about_ca_topic_score_codex":0.02217324,"about_ca_topic_score_gemma":0.009418187,"teacher_disagreement_score":0.45030206,"about_ca_system_score_codex":0.00008973287,"about_ca_system_score_gemma":0.00047523546,"threshold_uncertainty_score":0.98433816},"labels":[],"label_agreement":null},{"id":"W618060615","doi":"","title":"A collection of technical papers : AIAA Modeling and Simulation Technologies Conference, Montreal, Canada, 6-9 August 2001","year":2001,"lang":"en","type":"book","venue":"American Institute of Aeronautics and Astronautics eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Environmental science; Engineering; Operations research; Library science; Aerospace engineering; Computer science","score_opus":0.05114764918734997,"score_gpt":0.3171825348031316,"score_spread":0.2660348856157816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W618060615","genre_codex":"other","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":[0.0723931,0.00051431,0.1050446,0.000986575,0.00033049902,0.00249635,0.00096865115,0.00043779606,0.81682813],"genre_scores_gemma":[0.94887537,0.00025967558,0.006744619,0.000035572102,0.000028216933,0.000025214378,0.000049989856,0.000030044966,0.043951284],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683803,0.000033188866,0.0012183221,0.00060850993,0.0009901744,0.0003117712],"domain_scores_gemma":[0.9971995,0.0003754973,0.0010834582,0.00062691316,0.00058738585,0.00012729061],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004229093,0.0003721866,0.0008965294,0.00042013824,0.0002138929,0.00006739281,0.00047657153,0.00026987956,0.000019864141],"category_scores_gemma":[0.00023694392,0.0003384947,0.00009642071,0.00028422577,0.0016698593,0.00007640709,0.0003176707,0.00038357644,4.0193402e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017837728,0.00015793896,0.0009876683,0.00010554783,0.00024564815,0.00001131507,0.00021977919,0.10580992,0.00064212567,0.06070522,0.012186451,0.81875],"study_design_scores_gemma":[0.0012159694,0.0010898908,0.002468129,0.00051234255,0.00049912435,0.00003709549,0.0015761862,0.5139816,0.0003269093,0.07109329,0.40586272,0.0013367725],"about_ca_topic_score_codex":0.027002469,"about_ca_topic_score_gemma":0.115645155,"teacher_disagreement_score":0.8764823,"about_ca_system_score_codex":0.0002036067,"about_ca_system_score_gemma":0.0015774796,"threshold_uncertainty_score":0.9999067},"labels":[],"label_agreement":null},{"id":"W626047189","doi":"10.1007/978-1-4612-1318-5","title":"Advances in Stochastic Simulation Methods","year":2000,"lang":"en","type":"book","venue":"Birkhäuser Boston eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"St petersburg; Volume (thermodynamics); Computer science; Operations research; Engineering; Geography; Regional science; Physics; Russian federation","score_opus":0.13466137246341384,"score_gpt":0.5019475432722519,"score_spread":0.3672861708088381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W626047189","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000042178403,0.0007122807,0.24628986,0.00005599469,0.00019146698,0.0010004062,0.000045376903,0.0002541552,0.7514083],"genre_scores_gemma":[0.019312587,0.000057970457,0.013031386,0.00038516574,0.00028999112,0.00021595323,0.000055261204,0.00011258663,0.9665391],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99537545,0.00030698776,0.0015384272,0.0011038544,0.0012843119,0.00039094288],"domain_scores_gemma":[0.9940655,0.0034315293,0.00063531974,0.0014217047,0.00029174055,0.00015419592],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020973724,0.00046769736,0.0007651985,0.0011507213,0.00017020322,0.00021378814,0.0010785827,0.00057481654,0.0014870367],"category_scores_gemma":[0.00051830267,0.0004079812,0.00028391514,0.00031536203,0.00018071388,0.00026824625,0.00014553292,0.0005493468,0.00080105],"study_design_candidate":"design_other","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":[0.00004795857,0.000030560157,0.000012204088,0.000007917023,0.0000066344523,0.000004839947,0.00028159222,0.057073403,0.000014249518,0.017492171,0.0046766056,0.92035186],"study_design_scores_gemma":[0.0001912243,0.000030098337,0.000050732087,0.0000699158,0.000014963564,0.0000019498166,0.000014437486,0.015196534,0.000032052194,0.3462121,0.6378644,0.00032159302],"about_ca_topic_score_codex":0.00001077369,"about_ca_topic_score_gemma":0.00003747279,"teacher_disagreement_score":0.9200303,"about_ca_system_score_codex":0.00023827248,"about_ca_system_score_gemma":0.00036917467,"threshold_uncertainty_score":0.99997693},"labels":[],"label_agreement":null},{"id":"W631329932","doi":"","title":"Proceedings DASIA 2000 : DAta Systems in Aerospace, 22-26 May 2000, Montreal, Canada","year":2000,"lang":"en","type":"book","venue":"ESA Publications Division eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aerospace; Aeronautics; Regional science; Geography; Aerospace engineering; Engineering","score_opus":0.09093096029378694,"score_gpt":0.351718852400908,"score_spread":0.26078789210712106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W631329932","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000318224,0.00082392484,0.0007565555,0.0035959126,0.0003255191,0.0030291446,0.0024969883,0.0006632922,0.98799044],"genre_scores_gemma":[0.043459557,0.0000671617,0.0005357063,0.0003810257,0.000294129,0.0007269332,0.0015410617,0.00015173302,0.9528427],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9907879,0.00012882437,0.0025604686,0.0024524804,0.0032966433,0.00077364326],"domain_scores_gemma":[0.9905473,0.001097268,0.0013391494,0.0051107854,0.0013714466,0.00053406414],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002713661,0.0007325047,0.0010419923,0.0016158083,0.00061846286,0.0019446363,0.006286343,0.00068981963,0.0020515614],"category_scores_gemma":[0.0008655765,0.000653954,0.00016507796,0.0012994104,0.00022880881,0.00082220096,0.0009770086,0.0009364523,0.00066838955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067561696,0.0000680596,0.00047859165,0.000013172673,0.00002032492,0.0000021341114,0.00011952704,0.000113222224,0.000003213546,0.016591832,0.9493649,0.033218276],"study_design_scores_gemma":[0.00034029543,0.000021482781,0.004256238,0.000152935,0.00003121895,0.000010705947,0.00011552939,0.0058276453,0.000005241088,0.0075316657,0.981065,0.0006420933],"about_ca_topic_score_codex":0.13535745,"about_ca_topic_score_gemma":0.12926212,"teacher_disagreement_score":0.043141335,"about_ca_system_score_codex":0.0014815824,"about_ca_system_score_gemma":0.009077837,"threshold_uncertainty_score":0.9995912},"labels":[],"label_agreement":null},{"id":"W634682063","doi":"10.11575/prism/30400","title":"Evaluation of Complex Surveillance Systems for Emergent Vulnerability","year":2010,"lang":"en","type":"article","venue":"Open MIND","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cover (algebra); Metric (unit); Vulnerability (computing); Tracking system; Real-time computing; Computer security; Artificial intelligence; Engineering; Kalman filter","score_opus":0.5328366772085972,"score_gpt":0.5607199195319053,"score_spread":0.027883242323308077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W634682063","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":[0.9614451,0.000016988597,0.020710504,0.000375485,0.00025697844,0.0022109332,0.00015881723,0.000002279304,0.014822921],"genre_scores_gemma":[0.99065864,5.8160595e-7,0.008598795,0.000005260296,0.000036618738,0.00017644801,0.00001966818,0.0000032909543,0.0005006789],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806446,0.00017511833,0.00051692623,0.0002796982,0.00088703574,0.00007679226],"domain_scores_gemma":[0.996583,0.0006107192,0.000259855,0.00063587364,0.0018709382,0.00003963029],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015861662,0.000051565195,0.00016082365,0.000044130367,0.0000983039,0.00013277822,0.0006368369,0.00004232433,0.0048513263],"category_scores_gemma":[0.0022739593,0.0000393057,0.000047492318,0.00024829205,0.000044658802,0.00011266245,0.00008185006,0.000043057775,0.00007121622],"study_design_candidate":"design_other","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":[0.000023559798,0.00017964939,0.0139885945,0.000003208929,0.000013801557,1.9516367e-8,0.0002146436,0.0042590364,0.029567821,0.0028697373,0.011666071,0.93721384],"study_design_scores_gemma":[0.0005507226,0.000043538876,0.06262142,0.000003290932,0.000018176941,7.2015064e-7,0.00022046863,0.44990703,0.0069112643,0.018587496,0.4610117,0.00012415809],"about_ca_topic_score_codex":0.00007974321,"about_ca_topic_score_gemma":0.00022378522,"teacher_disagreement_score":0.9370897,"about_ca_system_score_codex":0.000014847456,"about_ca_system_score_gemma":0.000091626054,"threshold_uncertainty_score":0.99605834},"labels":[],"label_agreement":null},{"id":"W645248096","doi":"10.1007/978-3-662-04943-3_6","title":"Machine Models and Function Algebras","year":2002,"lang":"en","type":"book-chapter","venue":"Texts in theoretical computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Function (biology); Computer science; Biology","score_opus":0.06804399895383646,"score_gpt":0.33925546194736167,"score_spread":0.2712114629935252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W645248096","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":[0.000112710826,0.00018769791,0.57208365,0.0004166365,0.00014562141,0.0002639628,0.000009413289,0.000087899076,0.4266924],"genre_scores_gemma":[0.95679194,0.00008267192,0.016998736,0.0007751745,0.00014429352,0.000012392427,0.000003108616,0.000025527333,0.025166176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964685,0.0000377339,0.0006540495,0.0010729445,0.0014816227,0.00028514068],"domain_scores_gemma":[0.9976798,0.00076915225,0.00017390097,0.0009290795,0.0002569868,0.00019107475],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002381042,0.00024956526,0.00034332243,0.0006418134,0.00025702934,0.00042586715,0.001214927,0.00018731912,0.0017715198],"category_scores_gemma":[0.00012172127,0.00018771751,0.000075297496,0.00042193307,0.0028592614,0.00036108715,0.00069451495,0.0003722381,0.00024127492],"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":[0.0000037182033,0.000010829902,0.000007769045,0.0000011001991,9.932104e-7,0.0000018100989,0.0000392514,0.00029215997,0.0000015182264,0.80893105,0.00022346154,0.19048631],"study_design_scores_gemma":[0.00006531703,0.000047264195,0.00007534753,0.000021378379,0.000003608033,0.000007036634,5.930583e-7,0.36801735,0.0000074037757,0.6240133,0.007602209,0.00013916918],"about_ca_topic_score_codex":0.0000019773363,"about_ca_topic_score_gemma":0.0000011935432,"teacher_disagreement_score":0.9566792,"about_ca_system_score_codex":0.000057653557,"about_ca_system_score_gemma":0.000040603943,"threshold_uncertainty_score":0.9998544},"labels":[],"label_agreement":null},{"id":"W6907643535","doi":"10.25316/ir-10543","title":"Nanaimo Free Press [Tuesday, July 28, 1896]","year":2019,"lang":"en","type":"other","venue":"VIURRSpace (Vancouver Island University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.034093263452919055,"score_gpt":0.2853240981176449,"score_spread":0.25123083466472584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907643535","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.0256896e-7,0.0001753824,0.016442183,0.00031169306,0.0009903313,0.0006952993,0.0006035312,0.00044736508,0.9803333],"genre_scores_gemma":[0.00050038507,0.00022933396,0.0012131161,0.000111821646,0.0002598303,0.000003040691,0.0000015612758,0.00018109781,0.9974998],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970905,0.00013814583,0.00028801284,0.0009838935,0.0011214839,0.00037792782],"domain_scores_gemma":[0.9963058,0.00037821668,0.0005727589,0.0023293595,0.00023970657,0.0001741596],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028719704,0.00040236727,0.0005813569,0.001106433,0.00016962818,0.00016298742,0.002269882,0.00053199445,0.0018947866],"category_scores_gemma":[0.00017661593,0.0003571482,0.00028298027,0.0011699996,0.00014384044,0.0002337239,0.00058952946,0.00035400302,0.0015982589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016636393,0.00004676128,0.0000046532896,0.000011698649,0.000040953684,0.000016694952,0.000067006054,0.000072330615,0.000004530177,0.0048152427,0.99347717,0.0014263481],"study_design_scores_gemma":[0.00074700965,0.0000429261,0.00000572641,0.000068052475,0.000058705347,0.0000010371378,0.00022292386,0.00020310607,0.000035345773,0.0014395785,0.9967241,0.0004514432],"about_ca_topic_score_codex":0.0007450236,"about_ca_topic_score_gemma":0.0015906977,"teacher_disagreement_score":0.0171665,"about_ca_system_score_codex":0.00011577308,"about_ca_system_score_gemma":0.00015171066,"threshold_uncertainty_score":0.99988806},"labels":[],"label_agreement":null},{"id":"W6920761590","doi":"10.6084/m9.figshare.19759791","title":"Additional file 2 of A practical guide for translating in-person simulation curriculum to telesimulation","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Usability; Curriculum; Window (computing); File format","score_opus":0.23114152329092724,"score_gpt":0.4655830763699534,"score_spread":0.23444155307902614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920761590","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006268228,0.0000024828767,0.0018768805,0.00031178244,0.00000936059,0.00073931366,0.99500203,0.00003958755,0.001955908],"genre_scores_gemma":[0.1864982,1.1805001e-8,0.02822909,0.00021148125,0.000067102104,0.0059984885,0.77831537,0.000014324579,0.0006659501],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983054,0.000073794195,0.0004876524,0.00030500043,0.0006939471,0.00013421473],"domain_scores_gemma":[0.9882127,0.010850186,0.00026132193,0.00022595288,0.00039715454,0.000052665564],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023912551,0.00007783156,0.0001406661,0.0002551552,0.00018410366,0.000039393628,0.00021775415,0.000038492555,0.9808],"category_scores_gemma":[0.02351716,0.00007779279,0.000098538985,0.0009898909,0.0000034956727,0.000192284,0.00005645983,0.00009641329,0.00025111696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072753046,0.000043603577,0.000009632362,0.000003796105,0.0000010712923,2.8750807e-7,0.00008619982,0.13438687,0.000007956883,0.0000506748,0.8552581,0.010144556],"study_design_scores_gemma":[0.00008676313,0.000042203545,0.0009954476,0.000059980543,9.5298554e-7,7.4513815e-7,0.00025536816,0.3427792,0.0000129985265,0.00072384067,0.65497917,0.00006331887],"about_ca_topic_score_codex":0.000004564609,"about_ca_topic_score_gemma":0.0000106181105,"teacher_disagreement_score":0.98054886,"about_ca_system_score_codex":0.000068516165,"about_ca_system_score_gemma":0.00011138239,"threshold_uncertainty_score":0.9847082},"labels":[],"label_agreement":null},{"id":"W6921024670","doi":"10.6084/m9.figshare.14167837.v1","title":"Additional file 1 of Translational simulation: from description to action","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Key (lock); Encoding (memory); File system; Class (philosophy)","score_opus":0.37658664919583806,"score_gpt":0.43568408259443,"score_spread":0.059097433398591914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921024670","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006461989,0.0000064633523,0.002129063,0.00021404226,0.000018158522,0.00011666334,0.9932401,0.000049684837,0.004161183],"genre_scores_gemma":[0.0471068,6.9956975e-8,0.010422728,0.00023287379,0.00015283994,0.0004249083,0.9392882,0.000006923738,0.0023646676],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853575,0.00004637302,0.00036707427,0.00028815994,0.00068461313,0.0000780259],"domain_scores_gemma":[0.99263775,0.005903908,0.00014883831,0.00029707138,0.00094270834,0.000069715934],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000041186257,0.00007023898,0.00011167918,0.00010071904,0.00009222587,0.00008332508,0.00017463298,0.00007047099,0.9991547],"category_scores_gemma":[0.008014796,0.00006908137,0.00009781988,0.000734932,0.0000046546193,0.00027197547,0.00003910267,0.000058662423,0.0071345833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037248851,0.000021585249,0.000004318764,0.0000012189622,0.0000029769603,4.054447e-7,0.000026446933,0.0072400006,0.0000987305,0.000029917916,0.973331,0.019239726],"study_design_scores_gemma":[0.000049733037,0.000007303997,0.018503377,0.00014119236,0.0000016245541,6.8751825e-7,0.000042816835,0.01846058,0.0007341246,0.0065839323,0.95540154,0.00007308768],"about_ca_topic_score_codex":0.0000021926799,"about_ca_topic_score_gemma":0.000016388156,"teacher_disagreement_score":0.9920201,"about_ca_system_score_codex":0.000019151494,"about_ca_system_score_gemma":0.00011935443,"threshold_uncertainty_score":0.99363846},"labels":[],"label_agreement":null},{"id":"W6922720566","doi":"10.13140/rg.2.2.33392.16649","title":"MODELING AND VALIDATING OF A TIME ANALYSIS SYSTEM FOR INTEGRATION INTO THE VIRTUAL 3D SOFTWARE PRODUCT","year":2025,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software; Product (mathematics); Software system; Visualization; Key (lock)","score_opus":0.02763477453824387,"score_gpt":0.32118386933293014,"score_spread":0.29354909479468627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922720566","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13614325,0.0002600928,0.8607119,0.0014705696,0.000025442749,0.0009975488,0.000033760294,0.00026832052,0.000089161214],"genre_scores_gemma":[0.8605687,0.000011515991,0.13784054,0.0001879259,0.000028859024,0.00065631745,0.000022879924,0.00001332721,0.0006699418],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770874,0.0001646765,0.00091816107,0.0005177184,0.0004656125,0.00022511635],"domain_scores_gemma":[0.99680203,0.0010874659,0.0003302325,0.0010111175,0.0007038688,0.00006530164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031990865,0.00018257403,0.00041937485,0.0008539148,0.00044411086,0.0002851658,0.00062475656,0.00011905494,0.000009162934],"category_scores_gemma":[0.0024370095,0.00012710881,0.00021864653,0.0024786224,0.00008340496,0.0002430937,0.0001982216,0.00014946997,0.0000022406637],"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":[0.00010980639,0.00011584586,0.010422903,0.000051154533,0.00029058254,5.229432e-7,0.0017480707,0.36602348,0.017796444,0.098492354,0.0008332433,0.5041156],"study_design_scores_gemma":[0.00012730456,0.00003516945,0.0005475124,0.000042866264,0.0001768305,0.0000016015847,0.0007091304,0.97271675,0.013819479,0.011526964,0.0001798536,0.00011653371],"about_ca_topic_score_codex":0.0030972494,"about_ca_topic_score_gemma":0.00056656083,"teacher_disagreement_score":0.72442544,"about_ca_system_score_codex":0.00015037235,"about_ca_system_score_gemma":0.00013024837,"threshold_uncertainty_score":0.5183347},"labels":[],"label_agreement":null},{"id":"W6929847109","doi":"10.5281/zenodo.10833109","title":"Antibody Characterization Report for SHIP1 (INPP5D)","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Western blot; Phosphatidylinositol; Cell culture; Dot blot; General partnership","score_opus":0.13574140558981282,"score_gpt":0.40682339993560673,"score_spread":0.27108199434579394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929847109","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":[0.008030766,0.000040089446,0.9452186,0.0028040723,0.00021690824,0.00082317117,0.00042530906,0.0016644924,0.040776566],"genre_scores_gemma":[0.94361633,0.000050615792,0.0020049105,0.00027528268,0.000544571,6.996276e-7,0.039958663,0.0012439148,0.012304982],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976752,0.0001543543,0.00056366477,0.00065929303,0.0006894784,0.00025804254],"domain_scores_gemma":[0.9977562,0.0001689565,0.00014507138,0.0007101542,0.0010899245,0.00012972494],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002505798,0.0001237495,0.00015125894,0.0004271067,0.0015747568,0.0026815392,0.0010143609,0.00007678724,0.00810867],"category_scores_gemma":[0.002229721,0.000111609574,0.00010588776,0.0013158811,0.0000945655,0.00050814723,0.0004494806,0.0001488426,0.005730644],"study_design_candidate":"not_applicable","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":[0.00004626674,0.00013706552,0.00002228632,0.000058851154,0.00003960586,0.000030816074,0.0010453899,0.00006389179,0.30148268,0.0899927,0.094240025,0.51284045],"study_design_scores_gemma":[0.000110434725,0.00007242149,0.0009821152,0.000020994145,0.000009242726,0.00011982417,0.000089739115,0.008304499,0.00086744904,0.0068358574,0.9824554,0.00013205453],"about_ca_topic_score_codex":0.0000030458984,"about_ca_topic_score_gemma":6.7390914e-8,"teacher_disagreement_score":0.9432137,"about_ca_system_score_codex":0.00007993092,"about_ca_system_score_gemma":0.000007795814,"threshold_uncertainty_score":0.99972504},"labels":[],"label_agreement":null},{"id":"W6930183410","doi":"10.5281/zenodo.11775374","title":"el cerebro obeso pdf descargar gratis","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Filter (signal processing); Limiting; Head (geology)","score_opus":0.09895876514619134,"score_gpt":0.36257038714254336,"score_spread":0.263611621996352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930183410","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016866748,0.00035222404,0.018999659,0.0007988749,0.00020345022,0.0006642798,0.0006538911,0.0025232174,0.9757875],"genre_scores_gemma":[0.008442753,0.0001640264,0.0012075343,0.00020720775,0.0005291395,2.4577295e-7,0.0011845723,0.008040182,0.9802243],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966245,0.00032178513,0.00054324133,0.0009580204,0.0011975326,0.00035486236],"domain_scores_gemma":[0.99752676,0.00007361793,0.000270834,0.0013368323,0.0005700029,0.0002219673],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012482082,0.00026790568,0.0003073047,0.00095142185,0.000890581,0.0023351314,0.0023466165,0.00024196024,0.32257897],"category_scores_gemma":[0.0011202522,0.00023835064,0.00015473542,0.0015977534,0.00020660607,0.00013466367,0.0014340908,0.00042271146,0.35740846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003853419,0.000040721716,9.417056e-7,0.000021326154,0.000026478276,0.000004927684,0.00014705742,0.0000047626363,0.00008088135,0.012818802,0.9259075,0.06094278],"study_design_scores_gemma":[0.00012961558,0.000061021172,0.00003312102,0.00007019604,0.00002161706,0.000033010874,0.00012998976,0.00025089784,0.000057746845,0.012259816,0.9867004,0.00025256013],"about_ca_topic_score_codex":0.000044581717,"about_ca_topic_score_gemma":0.0000020506986,"teacher_disagreement_score":0.06079294,"about_ca_system_score_codex":0.000117448275,"about_ca_system_score_gemma":0.0000072302155,"threshold_uncertainty_score":0.99870056},"labels":[],"label_agreement":null},{"id":"W6931223571","doi":"10.5281/zenodo.3793048","title":"Oxytelus sculptus Gravenhorst 1806","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":"Canadian Forest Service; Natural Resources Canada; Nova Scotia Hospital","funders":"","keywords":"Nova scotia; Fauna; Latrine; Moorland; Zoogeography; Temperate climate","score_opus":0.19035501026655038,"score_gpt":0.3555962911085536,"score_spread":0.16524128084200324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931223571","genre_codex":"other","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":[0.12533572,0.00013088997,0.1424692,0.0036333224,0.00020918733,0.0012100834,0.00032479558,0.00321366,0.72347313],"genre_scores_gemma":[0.9924908,0.000049486298,0.0010911375,0.00022961848,0.00013412662,8.2155424e-8,0.0002951671,0.00053188927,0.005177678],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741817,0.0002787114,0.00045772395,0.0005317908,0.0010068706,0.00030676532],"domain_scores_gemma":[0.997551,0.0001040696,0.00015636085,0.0008946597,0.0010834931,0.00021038795],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013271272,0.0001264332,0.00016625863,0.0003619823,0.0037698015,0.0006927724,0.0017062947,0.00006857299,0.021704534],"category_scores_gemma":[0.0018645632,0.00011444499,0.00009499829,0.001424641,0.0002609847,0.0002807433,0.00086345733,0.0002034678,0.027298639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029544912,0.00017217275,0.000048092876,0.000004857919,0.000016305006,0.000015818974,0.0010903691,0.00022719828,0.0020674334,0.035089318,0.76152706,0.19971186],"study_design_scores_gemma":[0.00022484174,0.00007840889,0.0037156749,0.000004626415,0.0000036803717,0.00013761956,0.00016297918,0.0009695388,0.00063815725,0.00496021,0.98896354,0.00014074084],"about_ca_topic_score_codex":0.000015254541,"about_ca_topic_score_gemma":2.0940827e-7,"teacher_disagreement_score":0.8671551,"about_ca_system_score_codex":0.00008225396,"about_ca_system_score_gemma":0.0000051861152,"threshold_uncertainty_score":0.9975272},"labels":[],"label_agreement":null},{"id":"W6931372305","doi":"10.5281/zenodo.7924110","title":"Code in support of \"Towards spatio-temporal comparison of simulated and reconstructed sea surface temperatures for the last deglaciation\"","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Code (set theory); Surface (topology); Sea surface temperature; Data file","score_opus":0.10147861323216845,"score_gpt":0.3783001588218781,"score_spread":0.27682154558970967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931372305","genre_codex":"other","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":[0.075513266,0.0038960483,0.05645336,0.008086198,0.0011368737,0.016164325,0.03559051,0.0040163375,0.7991431],"genre_scores_gemma":[0.9624132,0.000091314905,0.0015054651,0.00004665736,0.000069280184,2.3620623e-7,0.0019290827,0.0017689159,0.032175843],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99786043,0.00022229058,0.00073005725,0.00043635536,0.0005838897,0.00016699657],"domain_scores_gemma":[0.99788684,0.00025053933,0.0004985235,0.0005376172,0.0007645955,0.000061902494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013838756,0.00015657379,0.00036106107,0.0004672805,0.0002763206,0.0003546081,0.0008495692,0.00014859375,0.006963447],"category_scores_gemma":[0.0012286733,0.00012105493,0.0000722249,0.0011107646,0.0002566499,0.00007524317,0.00042139186,0.00022572104,0.0002774237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004768915,0.00007048888,0.00042680113,0.00009302255,0.000048232025,5.54186e-7,0.00064407004,0.00060346024,0.00023916613,0.0024073955,0.9777396,0.017679565],"study_design_scores_gemma":[0.00031450484,0.00010291677,0.00057014864,0.00005785915,0.000022383945,0.000004705807,0.00030758034,0.007844834,0.00058027124,0.0010048231,0.9890681,0.000121866724],"about_ca_topic_score_codex":0.00009818366,"about_ca_topic_score_gemma":0.000032277352,"teacher_disagreement_score":0.88689995,"about_ca_system_score_codex":0.000045888573,"about_ca_system_score_gemma":0.000017454833,"threshold_uncertainty_score":0.99394435},"labels":[],"label_agreement":null},{"id":"W6931866868","doi":"10.5683/sp3/i6vh9x","title":"Labour Force Survey, December 1988 [Canada] [Rebased]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Simulation Techniques and Applications","field":"Decision 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":"Statistics Canada","funders":"","keywords":"Unemployment; Current Population Survey; Government (linguistics); Wage; Population; Descriptive statistics; Discouraged worker; Minimum wage","score_opus":0.10987974334130009,"score_gpt":0.4024373302037663,"score_spread":0.29255758686246625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931866868","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031652864,0.000026628395,0.00038416433,0.0006457069,0.00021615688,0.00035261657,0.9974231,0.0001282338,0.0007917536],"genre_scores_gemma":[0.00008621855,0.0000654018,0.000094643816,0.0011910163,0.00019501231,0.00010980056,0.98957217,0.000033355533,0.00865239],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99570173,0.00026190828,0.00088853965,0.0007635672,0.0020202748,0.00036395466],"domain_scores_gemma":[0.9931715,0.0031900303,0.00046634907,0.0022865827,0.0006671733,0.000218325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002402008,0.00029757296,0.00047581186,0.0002951168,0.00023434246,0.00030272332,0.0018278181,0.00029596928,0.0005346814],"category_scores_gemma":[0.003752238,0.00024128139,0.00013979449,0.0014204718,0.000065570195,0.00009173753,0.0003064907,0.0002899941,0.0007147928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052681144,0.000015346368,0.0001793568,0.0000046690548,0.000012692922,0.00000918273,0.0000019183367,0.000047085778,3.2157217e-7,0.00027746093,0.99858534,0.00086134113],"study_design_scores_gemma":[0.00009094233,0.000010992339,0.027650064,0.000011994189,0.000014328928,0.0000018888057,0.000015252724,0.00008560505,0.000010440672,0.0035291759,0.96830493,0.0002743807],"about_ca_topic_score_codex":0.982703,"about_ca_topic_score_gemma":0.9966699,"teacher_disagreement_score":0.030280422,"about_ca_system_score_codex":0.00012738645,"about_ca_system_score_gemma":0.0008763929,"threshold_uncertainty_score":0.98391694},"labels":[],"label_agreement":null},{"id":"W6939540548","doi":"10.6084/m9.figshare.14167837","title":"Additional file 1 of Translational simulation: from description to action","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Key (lock); Encoding (memory); File system; Class (philosophy)","score_opus":0.37658664919583806,"score_gpt":0.43568408259443,"score_spread":0.059097433398591914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939540548","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006461989,0.0000064633523,0.002129063,0.00021404226,0.000018158522,0.00011666334,0.9932401,0.000049684837,0.004161183],"genre_scores_gemma":[0.0471068,6.9956975e-8,0.010422728,0.00023287379,0.00015283994,0.0004249083,0.9392882,0.000006923738,0.0023646676],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853575,0.00004637302,0.00036707427,0.00028815994,0.00068461313,0.0000780259],"domain_scores_gemma":[0.99263775,0.005903908,0.00014883831,0.00029707138,0.00094270834,0.000069715934],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000041186257,0.00007023898,0.00011167918,0.00010071904,0.00009222587,0.00008332508,0.00017463298,0.00007047099,0.9991547],"category_scores_gemma":[0.008014796,0.00006908137,0.00009781988,0.000734932,0.0000046546193,0.00027197547,0.00003910267,0.000058662423,0.0071345833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037248851,0.000021585249,0.000004318764,0.0000012189622,0.0000029769603,4.054447e-7,0.000026446933,0.0072400006,0.0000987305,0.000029917916,0.973331,0.019239726],"study_design_scores_gemma":[0.000049733037,0.000007303997,0.018503377,0.00014119236,0.0000016245541,6.8751825e-7,0.000042816835,0.01846058,0.0007341246,0.0065839323,0.95540154,0.00007308768],"about_ca_topic_score_codex":0.0000021926799,"about_ca_topic_score_gemma":0.000016388156,"teacher_disagreement_score":0.9920201,"about_ca_system_score_codex":0.000019151494,"about_ca_system_score_gemma":0.00011935443,"threshold_uncertainty_score":0.99363846},"labels":[],"label_agreement":null},{"id":"W6958000201","doi":"10.60692/a5ps4-eyd76","title":"Gemini Near Infrared Spectrograph–Distant Quasar Survey: Augmented Spectroscopic Catalog and a Prescription for Correcting UV-based Quasar Redshifts","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Western University","funders":"","keywords":"Redshift; Quasar; Spectrograph; Luminosity; Emission spectrum; Ultraviolet; Wavelength; Spectral line","score_opus":0.11798357306463846,"score_gpt":0.3327066652219009,"score_spread":0.21472309215726243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958000201","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":[0.76904917,0.000004409547,0.22681154,0.00010916388,0.00040172564,0.0016188301,0.0006386494,0.0008016145,0.00056492444],"genre_scores_gemma":[0.9968529,2.655998e-7,0.0018924077,0.00009822639,0.000050511648,0.00025997637,0.00047141567,0.000018009025,0.00035628583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99692774,0.00017995422,0.0013225321,0.00041694348,0.0007695914,0.00038321703],"domain_scores_gemma":[0.9975551,0.00030197972,0.00072765193,0.0007385103,0.0005366055,0.00014016952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032913433,0.00023776111,0.00037102337,0.0007126787,0.00056313176,0.0010252309,0.00036437556,0.00014460659,0.000027782577],"category_scores_gemma":[0.00061712565,0.00019816525,0.00012965013,0.0017697149,0.00007863702,0.00074258633,0.00008183364,0.0001114712,0.00037036804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042974038,0.000018226136,0.94154245,0.00033611417,0.00007249342,0.0000018827108,0.038494214,0.0014610346,0.00005326214,0.0015930044,0.012269713,0.0037278768],"study_design_scores_gemma":[0.0026985889,0.00029206823,0.6243859,0.00019621738,0.00004504558,0.000011138563,0.01652975,0.34602192,0.0033330375,0.00048594794,0.0053866548,0.00061377906],"about_ca_topic_score_codex":0.000063510975,"about_ca_topic_score_gemma":0.000005411165,"teacher_disagreement_score":0.34456086,"about_ca_system_score_codex":0.00012272211,"about_ca_system_score_gemma":0.00008549375,"threshold_uncertainty_score":0.98863244},"labels":[],"label_agreement":null},{"id":"W6958209557","doi":"10.6084/m9.figshare.19759791.v1","title":"Additional file 2 of A practical guide for translating in-person simulation curriculum to telesimulation","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Usability; Curriculum; Window (computing); File format","score_opus":0.23114152329092724,"score_gpt":0.4655830763699534,"score_spread":0.23444155307902614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958209557","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006268228,0.0000024828767,0.0018768805,0.00031178244,0.00000936059,0.00073931366,0.99500203,0.00003958755,0.001955908],"genre_scores_gemma":[0.1864982,1.1805001e-8,0.02822909,0.00021148125,0.000067102104,0.0059984885,0.77831537,0.000014324579,0.0006659501],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983054,0.000073794195,0.0004876524,0.00030500043,0.0006939471,0.00013421473],"domain_scores_gemma":[0.9882127,0.010850186,0.00026132193,0.00022595288,0.00039715454,0.000052665564],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023912551,0.00007783156,0.0001406661,0.0002551552,0.00018410366,0.000039393628,0.00021775415,0.000038492555,0.9808],"category_scores_gemma":[0.02351716,0.00007779279,0.000098538985,0.0009898909,0.0000034956727,0.000192284,0.00005645983,0.00009641329,0.00025111696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072753046,0.000043603577,0.000009632362,0.000003796105,0.0000010712923,2.8750807e-7,0.00008619982,0.13438687,0.000007956883,0.0000506748,0.8552581,0.010144556],"study_design_scores_gemma":[0.00008676313,0.000042203545,0.0009954476,0.000059980543,9.5298554e-7,7.4513815e-7,0.00025536816,0.3427792,0.0000129985265,0.00072384067,0.65497917,0.00006331887],"about_ca_topic_score_codex":0.000004564609,"about_ca_topic_score_gemma":0.0000106181105,"teacher_disagreement_score":0.98054886,"about_ca_system_score_codex":0.000068516165,"about_ca_system_score_gemma":0.00011138239,"threshold_uncertainty_score":0.9847082},"labels":[],"label_agreement":null},{"id":"W6967306904","doi":"10.48550/arxiv.quant-ph/0101133","title":"Time and Space Bounds for Reversible Simulation","year":2001,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"","keywords":"Upper and lower bounds; Quadratic equation; Space (punctuation); Space time; Boundary (topology); Exponential function; Spacetime; Time space","score_opus":0.23315288209710408,"score_gpt":0.310807487941017,"score_spread":0.0776546058439129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6967306904","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":[0.347069,0.000037671172,0.64384896,0.00034646006,0.00010667772,0.0008555837,0.00010679545,0.00019431056,0.0074345395],"genre_scores_gemma":[0.9599586,0.000051934043,0.0017076437,0.00007136473,0.000076058845,0.0000024639635,0.000042632186,0.000015600752,0.038073696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983987,0.0000680074,0.00027298208,0.0009098908,0.00015647945,0.00019389918],"domain_scores_gemma":[0.9971619,0.0010968294,0.0003233626,0.0008489733,0.00044614344,0.00012278843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072120863,0.00018992025,0.00028502996,0.00033516783,0.0002704481,0.00018936832,0.00058184157,0.0002774424,0.00030795255],"category_scores_gemma":[0.00034526622,0.0001994474,0.00017038897,0.0006517759,0.00013722853,0.0002309636,0.0004915703,0.00018369031,0.00013907094],"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":[0.000040002662,0.000040925344,0.0020322793,0.000010469301,0.000021740148,0.000003660166,0.0000932698,0.9668531,0.000035840094,0.024254244,0.004869424,0.0017450337],"study_design_scores_gemma":[0.00023636522,0.000023395858,0.000534515,0.000015045222,0.000039117727,5.5540136e-7,0.00006934519,0.7206414,0.000030779014,0.24086614,0.037356142,0.00018722833],"about_ca_topic_score_codex":0.000042395448,"about_ca_topic_score_gemma":0.000012642018,"teacher_disagreement_score":0.64214134,"about_ca_system_score_codex":0.00009961182,"about_ca_system_score_gemma":0.00007777478,"threshold_uncertainty_score":0.8133229},"labels":[],"label_agreement":null},{"id":"W6967712276","doi":"10.5281/zenodo.1196286","title":"The Ultimate Share-Everything Pdes System","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Exploit; Commit; Process (computing); Event (particle physics); Concurrency; Power (physics); Expressive power; Component (thermodynamics)","score_opus":0.1287627681161041,"score_gpt":0.36424892142390947,"score_spread":0.23548615330780537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6967712276","genre_codex":"other","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":[0.027875168,0.00013726756,0.13488124,0.004945595,0.0003911802,0.0012948341,0.0003078768,0.004055128,0.8261117],"genre_scores_gemma":[0.9960314,0.000014003646,0.0005791169,0.000121060315,0.00022632108,9.942423e-8,0.00009138822,0.00038907965,0.0025475451],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777657,0.00032704338,0.00041182394,0.0004048607,0.0007944992,0.00028522313],"domain_scores_gemma":[0.9970667,0.00023035711,0.0001822152,0.00087158236,0.0015289591,0.00012018451],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0028962668,0.00009942285,0.00010867332,0.0001571919,0.0070360326,0.0028587389,0.0020528592,0.000047303252,0.0044158935],"category_scores_gemma":[0.002103562,0.00006961658,0.00005809148,0.000964254,0.00028347864,0.0002962214,0.0010010996,0.00014535165,0.02481925],"study_design_candidate":"not_applicable","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":[0.000030527284,0.000039162576,0.000011619318,0.000009606624,0.000017977749,0.0000021818255,0.0011838281,0.000051852978,0.0016012583,0.11635114,0.4143073,0.46639356],"study_design_scores_gemma":[0.00011417742,0.000055177417,0.0005628326,0.000014905036,0.0000036740537,0.000034514178,0.0009305158,0.0074548763,0.00070483657,0.0023965125,0.9876373,0.000090712296],"about_ca_topic_score_codex":0.0000100012385,"about_ca_topic_score_gemma":3.6406166e-7,"teacher_disagreement_score":0.9681562,"about_ca_system_score_codex":0.00010178311,"about_ca_system_score_gemma":0.0000032942196,"threshold_uncertainty_score":0.9981764},"labels":[],"label_agreement":null},{"id":"W6968848823","doi":"10.5281/zenodo.7707847","title":"Simulation model canada goose_share data and code","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Source code; Data modeling; Matching (statistics)","score_opus":0.3006973343025892,"score_gpt":0.4026117089883652,"score_spread":0.10191437468577597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968848823","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":[0.15608023,0.00016013304,0.6016285,0.018781863,0.0002880147,0.0029644622,0.029921047,0.007204326,0.18297145],"genre_scores_gemma":[0.9936496,0.000018380899,0.00047626608,0.00019035133,0.000047380407,4.4978563e-8,0.0033278,0.0003235962,0.0019665658],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998036,0.0001343775,0.00031629432,0.00053378096,0.0007666939,0.0002128204],"domain_scores_gemma":[0.9978273,0.00024303634,0.00010612055,0.001059678,0.0006215532,0.00014232245],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013909157,0.00008746835,0.00010742372,0.0002068086,0.0018640466,0.00080373784,0.0016499667,0.000040027688,0.0030227357],"category_scores_gemma":[0.0032936991,0.000082738356,0.000015780799,0.001168205,0.000066537505,0.00035428398,0.0021232031,0.000118062264,0.001873073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010816915,0.000018712168,0.000015610865,0.0000070129477,0.000007913199,0.0000028100933,0.0002816941,0.106771454,0.00029188333,0.0040625185,0.7113695,0.17716005],"study_design_scores_gemma":[0.00006879871,0.000007631418,0.00034365704,0.0000028026022,0.0000020150478,0.0000020956547,0.00012815327,0.4899758,0.000017478706,0.0018839962,0.5075137,0.000053832315],"about_ca_topic_score_codex":0.000805769,"about_ca_topic_score_gemma":0.00034402622,"teacher_disagreement_score":0.83756936,"about_ca_system_score_codex":0.000067634595,"about_ca_system_score_gemma":0.000015050556,"threshold_uncertainty_score":0.99943537},"labels":[],"label_agreement":null},{"id":"W6969170248","doi":"10.5281/zenodo.5924304","title":"Ammothea spinosa","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shetland; Cruise; Nova scotia; West coast; Indian ocean","score_opus":0.1110119787295755,"score_gpt":0.3560032642739103,"score_spread":0.24499128554433483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969170248","genre_codex":"other","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":[0.15064488,0.00003670419,0.043633208,0.0036640782,0.00016582299,0.0010225652,0.00015471548,0.0017158891,0.7989621],"genre_scores_gemma":[0.9926125,0.000009979525,0.0006945672,0.00027878565,0.000075230826,3.3227447e-8,0.00019089125,0.0004484612,0.005689583],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979961,0.00020588613,0.0003464804,0.00046066905,0.0007546109,0.00023624882],"domain_scores_gemma":[0.9980414,0.00009466113,0.00012844383,0.000889075,0.0007161476,0.00013025978],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014556207,0.00009422367,0.0001320736,0.00027471074,0.0010971628,0.001059009,0.0015272913,0.00005407931,0.06156454],"category_scores_gemma":[0.0009290158,0.00008348967,0.00006770587,0.0009796794,0.00008347869,0.00027565405,0.00075068616,0.0001539505,0.088194765],"study_design_candidate":"not_applicable","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":[0.000028374785,0.00011710034,0.00009515711,0.000008235812,0.000012801156,0.0000018097061,0.000492966,0.00021938587,0.0071127885,0.10786114,0.41389015,0.4701601],"study_design_scores_gemma":[0.00019272965,0.00007803582,0.0024934309,0.000005663897,0.0000022662912,0.000018254681,0.0001924509,0.001351711,0.00073657185,0.0055507966,0.9892731,0.00010499574],"about_ca_topic_score_codex":0.000006785848,"about_ca_topic_score_gemma":7.460136e-8,"teacher_disagreement_score":0.8419676,"about_ca_system_score_codex":0.00005799791,"about_ca_system_score_gemma":0.000002586285,"threshold_uncertainty_score":0.999978},"labels":[],"label_agreement":null},{"id":"W6969466178","doi":"10.5281/zenodo.882972","title":"On The Use Of Serious Game Engineering For 5G System Performance Evaluation","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visualization; Cohesion (chemistry); Serious game; Representation (politics); Game Developer; Data visualization","score_opus":0.2857619624103596,"score_gpt":0.36859444247577916,"score_spread":0.08283248006541954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969466178","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":[0.86935914,0.000019614845,0.09166511,0.002303229,0.00021803602,0.0033818202,0.00029307822,0.0007426543,0.03201734],"genre_scores_gemma":[0.99887437,0.0000053571353,0.0003862247,0.00003537175,0.000047489175,5.928371e-7,0.00006248759,0.00021554461,0.0003725795],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984064,0.00013042425,0.00031724057,0.00026503945,0.00073005963,0.00015082763],"domain_scores_gemma":[0.9968976,0.0002941242,0.0002957967,0.0010916584,0.0013676266,0.000053234024],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025933427,0.00007963358,0.0001105682,0.00014339518,0.002083658,0.0012569958,0.0013662927,0.00003840474,0.0010522357],"category_scores_gemma":[0.005993428,0.00005866507,0.000054656444,0.00022670678,0.00008379753,0.0003446452,0.0002446846,0.0000916887,0.0007377042],"study_design_candidate":"not_applicable","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":[0.00012869963,0.00011231734,0.00004065385,0.000070797585,0.00003967409,5.585565e-7,0.0008097803,0.047967624,0.0055252346,0.14316694,0.12783386,0.6743038],"study_design_scores_gemma":[0.00024534808,0.00012322671,0.004025703,0.000041470263,0.00000898534,0.0000060215752,0.000071223054,0.35049796,0.0023174712,0.00042501985,0.64215326,0.00008430284],"about_ca_topic_score_codex":0.0000061871056,"about_ca_topic_score_gemma":8.520978e-8,"teacher_disagreement_score":0.67421955,"about_ca_system_score_codex":0.00008097244,"about_ca_system_score_gemma":0.000003996592,"threshold_uncertainty_score":0.99986094},"labels":[],"label_agreement":null},{"id":"W6980506475","doi":"","title":"Certificate of Service","year":2014,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Certificate; Service (business); Root certificate; Public key certificate; Postal service","score_opus":0.06169671932812061,"score_gpt":0.2693833671766825,"score_spread":0.2076866478485619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980506475","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000984175,0.000028309258,0.015733544,0.000016149519,0.0001823138,0.00036277744,0.00025847417,0.00051988394,0.9819144],"genre_scores_gemma":[0.011628942,0.000016127611,0.00028107173,0.000040303552,0.0000863437,1.3426256e-7,0.0000397261,0.00010188742,0.9878055],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975017,0.00011943238,0.000398859,0.00083589426,0.00087267987,0.00027146703],"domain_scores_gemma":[0.996691,0.0003320335,0.0009240477,0.0012353915,0.0005652121,0.00025232745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000066873677,0.00033916286,0.00054776826,0.001415525,0.00020817762,0.00014676363,0.0020758302,0.00045479974,0.00016238936],"category_scores_gemma":[0.000093446615,0.0003755186,0.00034706318,0.0018141002,0.0001665733,0.00048296357,0.00062576705,0.00022058497,0.0005229315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056754918,0.00010758841,0.0030343998,0.000033297598,0.00006893235,0.000013706032,0.000007072439,0.00009287275,0.001767954,0.0006940216,0.99275243,0.0013709504],"study_design_scores_gemma":[0.00032972035,0.000045448614,0.00061362487,0.000079392965,0.00007160174,0.0000088640245,0.001472739,0.000016691847,0.0002594813,0.0002873315,0.99644446,0.00037063047],"about_ca_topic_score_codex":0.00024670878,"about_ca_topic_score_gemma":0.00037923228,"teacher_disagreement_score":0.015452472,"about_ca_system_score_codex":0.00015559344,"about_ca_system_score_gemma":0.00014383117,"threshold_uncertainty_score":0.9998697},"labels":[],"label_agreement":null},{"id":"W6984855286","doi":"","title":"Ut Pictura Poesis","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Comics; Diagrammatic reasoning; Context (archaeology); Narrative; Interpretation (philosophy); Action (physics)","score_opus":0.5271756995813066,"score_gpt":0.6874867202905439,"score_spread":0.1603110207092373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6984855286","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":[0.7327058,0.009684755,0.062348947,0.004766285,0.0011760454,0.0015598414,0.00011385755,0.00024620333,0.18739831],"genre_scores_gemma":[0.98881644,0.001226535,0.0011777931,0.0012395685,0.00008873942,0.0000669692,0.0000045549327,0.00001852738,0.0073608435],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.996224,0.0002399956,0.0014025267,0.0005736637,0.0012796959,0.00028013779],"domain_scores_gemma":[0.99523,0.0017568403,0.0008477565,0.0011073211,0.00087805244,0.00018002419],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002972387,0.00022731876,0.0006345177,0.0014853325,0.0004265635,0.0029105418,0.0057127103,0.000119973694,0.022593236],"category_scores_gemma":[0.0018440501,0.00017484871,0.00026506337,0.0036912155,0.00013946963,0.0018294798,0.0012918169,0.00028042766,0.0001109583],"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":[0.000056449022,0.00016953029,0.3160205,0.000011275356,0.00007418291,0.000004822439,0.00007982602,0.0003430767,0.01959385,0.00740267,0.48762342,0.16862041],"study_design_scores_gemma":[0.00020774665,0.0000029546793,0.5153536,0.00009114943,0.000030176858,0.0000020891919,0.00008539826,0.00040520256,0.022321967,0.24189909,0.21939187,0.00020873717],"about_ca_topic_score_codex":0.00028149312,"about_ca_topic_score_gemma":0.000018484789,"teacher_disagreement_score":0.26823154,"about_ca_system_score_codex":0.00007133257,"about_ca_system_score_gemma":0.00016916309,"threshold_uncertainty_score":0.99966687},"labels":[],"label_agreement":null},{"id":"W6992939666","doi":"","title":"Monte Carlo Algorithms for Expected Utility Estimation in Dynamic Purchasing","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Bundle; Purchasing; Expected utility hypothesis; Probabilistic logic; Monte Carlo method; Tree (set theory); Decision tree; Decision theory; Maximization","score_opus":0.10801894295767628,"score_gpt":0.4298059979719631,"score_spread":0.32178705501428684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992939666","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":[0.31872505,0.000013889782,0.67850405,0.0011557599,0.00004591461,0.0004546626,0.000018537721,0.00008921202,0.0009928973],"genre_scores_gemma":[0.8332277,0.0000012190218,0.16647296,0.00004441008,0.000008774028,0.000121246914,0.0000049569994,0.0000058873916,0.00011284415],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987539,0.000028678804,0.00040331495,0.00030528972,0.00036019122,0.00014863512],"domain_scores_gemma":[0.9990011,0.00032243688,0.0001003693,0.00035825584,0.00017369178,0.000044155917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072920654,0.00007453325,0.0001326993,0.0001703524,0.0001084531,0.000083408,0.00024299306,0.000059408067,0.000080184225],"category_scores_gemma":[0.0007647004,0.000064945736,0.000059678037,0.0005718731,0.000040601764,0.00018681327,0.000031758223,0.0000647687,0.000019637624],"study_design_candidate":"design_other","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":[0.000027855236,0.00017371899,0.0013785621,0.000004847581,0.0000045062784,0.0000014814456,0.0012927637,0.040603366,0.003986402,0.009592997,0.00036555907,0.94256794],"study_design_scores_gemma":[0.00033177075,0.000016529397,0.010017171,0.000007387547,0.0000017102727,8.588507e-7,0.00014602872,0.62907773,0.0008554579,0.35873294,0.0007484486,0.00006396373],"about_ca_topic_score_codex":0.000048163965,"about_ca_topic_score_gemma":0.00006185395,"teacher_disagreement_score":0.942504,"about_ca_system_score_codex":0.000102817045,"about_ca_system_score_gemma":0.000047220263,"threshold_uncertainty_score":0.26484102},"labels":[],"label_agreement":null},{"id":"W6996610653","doi":"","title":"Simulation modeling as a decision analysis support tool : a case study at the PH&amp;N telephone contact centre","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Dysgeusia; Triacetin; Liquation; Hyporeflexia; Proteogenomics","score_opus":0.04812532736482971,"score_gpt":0.3170062717371771,"score_spread":0.2688809443723474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996610653","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":[0.9037932,0.000017683924,0.094946906,0.00013514476,0.000022461409,0.0006092812,0.00007052723,0.00007059388,0.00033420007],"genre_scores_gemma":[0.99771655,0.000006714506,0.00065857964,0.00007632554,0.000015385243,7.2782615e-7,0.000020234716,0.000006085403,0.0014993898],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976844,0.000131723,0.00042677732,0.00059781084,0.00096075615,0.00019852785],"domain_scores_gemma":[0.9972974,0.0007602604,0.00028559918,0.0008551564,0.0006946196,0.00010694217],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011602511,0.000061569626,0.00035658575,0.00017387568,0.00081578246,0.00032100733,0.0005313253,0.000086486485,0.001622884],"category_scores_gemma":[0.00038052123,0.00012980493,0.0003164358,0.0019743657,0.000058778387,0.00039501593,0.00016899474,0.000108968554,0.00011060278],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003441496,0.0004058285,0.025157548,0.0000010667943,0.00008904641,0.00038283566,0.0013927341,0.15340585,0.00006334535,0.000002058387,0.0011625517,0.81790274],"study_design_scores_gemma":[0.0008826634,0.00012461738,0.58912957,0.000011581073,0.00029467614,0.00011513435,0.010474666,0.39600268,5.4772687e-7,0.0022712178,0.0004914196,0.0002012355],"about_ca_topic_score_codex":0.052827895,"about_ca_topic_score_gemma":0.29119313,"teacher_disagreement_score":0.81770146,"about_ca_system_score_codex":0.00010773837,"about_ca_system_score_gemma":0.000058026846,"threshold_uncertainty_score":0.99928975},"labels":[],"label_agreement":null},{"id":"W6997174747","doi":"","title":"Uso de plataforma de serious-game engineering para la simulación de sistemas celulares 5G en entornos reales","year":2016,"lang":"es","type":"dissertation","venue":"RiuNet (Politechnical University of Valencia)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Control system; Context (archaeology); Automation; Process control","score_opus":0.026661188292010987,"score_gpt":0.3312828079632099,"score_spread":0.30462161967119894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997174747","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":[0.88068074,0.0003146844,0.11245606,0.00041715504,0.00007948197,0.0009385783,0.00083563244,0.00053160806,0.0037460316],"genre_scores_gemma":[0.9853489,0.0011755588,0.009005252,0.000045558587,0.00012226914,0.000008132701,0.00016890724,0.00005386683,0.004071579],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9958685,0.00041667756,0.0009238769,0.0008500454,0.0010835885,0.0008573363],"domain_scores_gemma":[0.99357754,0.0034659156,0.00084253465,0.00110704,0.00048552864,0.00052146823],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0021313343,0.00052531617,0.0008846069,0.00070171733,0.0003249922,0.00012541031,0.0020146053,0.0013626829,0.00029335977],"category_scores_gemma":[0.0012524471,0.0005474531,0.00066406344,0.00073132943,0.00032767575,0.00041456305,0.00025302538,0.0006691908,0.00008012761],"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":[0.0031823297,0.0038081512,0.17458166,0.0058339396,0.0017563031,0.001002616,0.027431706,0.055486195,0.2999587,0.2856625,0.011317584,0.12997831],"study_design_scores_gemma":[0.0034991575,0.00082330115,0.517946,0.0047084107,0.0013373083,0.00016139362,0.006862728,0.066590235,0.050046194,0.023697332,0.3207454,0.0035825477],"about_ca_topic_score_codex":0.0009749149,"about_ca_topic_score_gemma":0.00010709332,"teacher_disagreement_score":0.34336433,"about_ca_system_score_codex":0.000738028,"about_ca_system_score_gemma":0.0007514903,"threshold_uncertainty_score":0.9999338},"labels":[],"label_agreement":null},{"id":"W7018035427","doi":"","title":"Component Based Simulation Of ATM Switch Fabrics","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Institut national de la recherche scientifique; McGill University","keywords":"Component (thermodynamics); Reuse; Process (computing); Simulation modeling; Work (physics); Design cycle","score_opus":0.12885712795391935,"score_gpt":0.43146277817186457,"score_spread":0.3026056502179452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018035427","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":[0.22526139,0.0000038033302,0.7543465,0.00034264056,0.000036187088,0.00015030666,0.000005800871,0.00004913073,0.01980428],"genre_scores_gemma":[0.97952574,4.1273316e-7,0.019986417,0.00017304979,0.00002998905,0.0000036459026,0.0000053798576,0.0000053416097,0.00027003142],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984026,0.000028541735,0.00051221275,0.00018894981,0.00075253344,0.00011519597],"domain_scores_gemma":[0.9974092,0.0015525798,0.0001987116,0.00042260916,0.000357998,0.000058867336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016331854,0.000060707574,0.00012602634,0.00016525894,0.00006884981,0.000027297894,0.00026714985,0.0000522138,0.00080482475],"category_scores_gemma":[0.00039676044,0.000049034265,0.00007030839,0.00065434864,0.00004206743,0.00006932301,0.000032352997,0.00005221735,0.00007359096],"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":[0.00010624343,0.00045582443,0.045606755,0.000009515526,0.00001095222,0.0000024985895,0.00034497044,0.2579007,0.15229307,0.060332056,0.008161652,0.47477573],"study_design_scores_gemma":[0.00029462276,0.000039964707,0.05003671,0.0000069154303,0.000005797464,3.49099e-7,0.00007418497,0.7548696,0.042584907,0.09506892,0.056906797,0.000111269066],"about_ca_topic_score_codex":0.0000067197143,"about_ca_topic_score_gemma":0.0000034269465,"teacher_disagreement_score":0.75426435,"about_ca_system_score_codex":0.000022930382,"about_ca_system_score_gemma":0.00002304766,"threshold_uncertainty_score":0.8812267},"labels":[],"label_agreement":null},{"id":"W70209624","doi":"10.1007/978-1-4614-1406-3_14","title":"Postsimulation Processing: Debugging, Tracing, and Result Compilation","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Debugging; Tracing; Computer science; Programming language","score_opus":0.2179699333797433,"score_gpt":0.40135442433219426,"score_spread":0.18338449095245096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70209624","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000087189794,0.0002527598,0.10091164,0.00035388191,0.00004571702,0.00047821965,0.000035138473,0.0003291213,0.89750636],"genre_scores_gemma":[0.36050567,0.00003537504,0.0036747726,0.00023419272,0.00010157336,0.000011879369,0.00008197621,0.000039188282,0.63531536],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973924,0.000021310545,0.00092030084,0.0006959472,0.00082124025,0.00014878606],"domain_scores_gemma":[0.9976315,0.00033985756,0.00066662644,0.00058690144,0.0006605619,0.0001145572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008288209,0.0002698342,0.00033990454,0.00043453448,0.00026497914,0.00028963978,0.00032341335,0.00035806836,0.0021763733],"category_scores_gemma":[0.00016939032,0.00021335423,0.00009826287,0.0001095262,0.00012264792,0.00032757327,0.000096601965,0.00022165249,0.00029135344],"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":[0.000026723888,0.00002119774,0.00042769982,0.000011515319,0.000012643538,0.0000012327063,0.00040706331,0.00011303815,0.000029016055,0.48437908,0.012869914,0.5017009],"study_design_scores_gemma":[0.00015308219,0.000038070077,0.0021453765,0.000056357032,0.000030968684,0.000006082205,0.000011814645,0.014979462,0.00006718389,0.59991145,0.38230518,0.0002949546],"about_ca_topic_score_codex":0.000014493679,"about_ca_topic_score_gemma":0.000022069902,"teacher_disagreement_score":0.50140595,"about_ca_system_score_codex":0.000036383903,"about_ca_system_score_gemma":0.00006583244,"threshold_uncertainty_score":0.9987358},"labels":[],"label_agreement":null},{"id":"W7035621432","doi":"","title":"Adjustment to Life in Custody Among Canadian Serious and Violent Young Offenders: Physical Aggression, Perceived Level of Support From Correctional Staff, and Feelings of Personal Safety","year":2009,"lang":"en","type":"dissertation","venue":"Utrecht University Repository (Utrecht University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feeling; Relative deprivation; Personal income; Injury prevention; Suicide prevention; Human factors and ergonomics","score_opus":0.04198516983218494,"score_gpt":0.28473219937646355,"score_spread":0.2427470295442786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7035621432","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":[0.9861868,0.000052962292,0.00031311865,0.00009992164,0.00030693613,0.0005652653,0.0005692844,0.000036602505,0.011869106],"genre_scores_gemma":[0.97901636,0.0001910076,0.00047212036,0.0000190888,0.000051509054,5.751454e-7,0.00024936977,0.000014968316,0.01998498],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973445,0.00020961651,0.0005082105,0.0008633842,0.0007967325,0.00027756277],"domain_scores_gemma":[0.9975632,0.00034012314,0.00061621756,0.00037572507,0.00057185616,0.00053288374],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026313955,0.00032681721,0.0006953126,0.0016354464,0.00035799824,0.000035197336,0.0005367351,0.00040564992,0.00010706451],"category_scores_gemma":[0.000106118656,0.00036856995,0.00018195932,0.0010430742,0.00019503871,0.00030865252,0.00011997144,0.00037576523,0.000003023371],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009597524,0.0046818396,0.2676582,0.00037653925,0.0015419916,0.001438453,0.15258172,0.003013753,0.017370297,0.006038367,0.023722004,0.5119793],"study_design_scores_gemma":[0.0017334507,0.00051361596,0.863655,0.0009231165,0.00038665812,0.000015417558,0.118087836,0.002420201,0.0014902198,0.00042074258,0.009504976,0.0008487828],"about_ca_topic_score_codex":0.09133022,"about_ca_topic_score_gemma":0.090054184,"teacher_disagreement_score":0.5959968,"about_ca_system_score_codex":0.0007095405,"about_ca_system_score_gemma":0.0009853407,"threshold_uncertainty_score":0.9998766},"labels":[],"label_agreement":null},{"id":"W7037815957","doi":"","title":"Évaluation des outils d'aide à la décision accessibles aux municipalités en matière de gestion des risques","year":2015,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work safety; Public information","score_opus":0.12605895678071033,"score_gpt":0.34026650994352914,"score_spread":0.2142075531628188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037815957","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08711565,0.008214968,0.106707804,0.00031056808,0.00025555489,0.00078240794,0.0000988668,0.00010684633,0.79640734],"genre_scores_gemma":[0.42998603,0.0020904655,0.06980394,0.000013786346,0.0001452015,0.000004016187,0.00003857323,0.00004753044,0.49787048],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99615306,0.0011366347,0.0007560298,0.0005495342,0.0010814599,0.00032326518],"domain_scores_gemma":[0.9964822,0.0010148976,0.00029165563,0.0008178175,0.0011991162,0.00019429826],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002415558,0.00039517693,0.0006008382,0.00052879954,0.0009844924,0.00010132077,0.0020370658,0.0007041914,0.0015597084],"category_scores_gemma":[0.0013331473,0.00034325925,0.0004248648,0.001051929,0.0028098063,0.00057267887,0.0007498476,0.00038099912,0.00020614357],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018462905,0.00086678396,0.008068584,0.0019139795,0.00024691797,0.0000066312177,0.02492703,0.07245446,0.009056858,0.039714623,0.020834386,0.82172513],"study_design_scores_gemma":[0.0009137729,0.00012447755,0.08577074,0.01036751,0.0005241347,0.00003635419,0.0016233042,0.09753051,0.010482339,0.056557905,0.7355509,0.00051809096],"about_ca_topic_score_codex":0.009114591,"about_ca_topic_score_gemma":0.026802406,"teacher_disagreement_score":0.82120705,"about_ca_system_score_codex":0.0025057464,"about_ca_system_score_gemma":0.0010238447,"threshold_uncertainty_score":0.999904},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"},{"id":"W7038967121","doi":"","title":"La bienveillance : revue systématique des écrits scientifiques pour l'accompagnement professionnel d'organismes partenaires dédiés à l'attraction, l'inclusion et la rétention des nouveaux arrivants en région éloignée","year":2022,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Research methodology; Identity (music); Domain (mathematical analysis)","score_opus":0.0324177012595224,"score_gpt":0.29738332688515734,"score_spread":0.26496562562563497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038967121","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":[0.4593874,0.0063466085,0.3827118,0.001848626,0.0011479378,0.0023309013,0.00016154296,0.00026447096,0.14580072],"genre_scores_gemma":[0.90636665,0.0021514655,0.020765712,0.0000290524,0.0000878622,0.000013327116,0.000045668494,0.000054135704,0.07048611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9950402,0.0018411487,0.0008568817,0.00082623307,0.0010979875,0.00033757673],"domain_scores_gemma":[0.9965452,0.00088985485,0.00077360636,0.0008048755,0.0008203268,0.00016612724],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023388925,0.0004489233,0.0006401449,0.00057503965,0.0033525543,0.00010399192,0.0019105573,0.00045338966,0.002378666],"category_scores_gemma":[0.00056172797,0.00039252438,0.0005053743,0.001131036,0.0021796622,0.000555389,0.0024205623,0.00056025013,0.000076217744],"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":[0.00050998194,0.0069528106,0.10938453,0.020404788,0.00072492077,0.00006792437,0.097803846,0.048339464,0.19623592,0.31728378,0.024868913,0.1774231],"study_design_scores_gemma":[0.0017484173,0.00022128783,0.43227327,0.031528953,0.00048255475,0.00022555873,0.00798733,0.022362255,0.032853752,0.05864479,0.41053137,0.0011404458],"about_ca_topic_score_codex":0.0007741567,"about_ca_topic_score_gemma":0.007812022,"teacher_disagreement_score":0.44697928,"about_ca_system_score_codex":0.0018533373,"about_ca_system_score_gemma":0.0007012675,"threshold_uncertainty_score":0.99985266},"labels":[],"label_agreement":null},{"id":"W7096154543","doi":"","title":"By","year":2015,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exploit; Dissemination; Workflow; Concurrent engineering; Task (project management)","score_opus":0.47318934219346,"score_gpt":0.5337291066668696,"score_spread":0.060539764473409585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096154543","genre_codex":"other","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":[0.019060874,0.000022977634,0.3814382,0.00403636,0.000036817975,0.00006840665,0.0000032612893,0.00014131534,0.5951918],"genre_scores_gemma":[0.942805,2.9359e-7,0.004589927,0.000580929,0.000012835349,0.0000055139813,0.0000011281184,0.0000013246317,0.052003033],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941885,0.000010849982,0.00011338939,0.00008937727,0.00032985164,0.000037694557],"domain_scores_gemma":[0.9994781,0.0001037944,0.000020261747,0.00020840387,0.00012599785,0.0000634384],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005191802,0.00001825043,0.00003162656,0.000024656249,0.000018711205,0.000053897293,0.00018102184,0.00001334518,0.0007772212],"category_scores_gemma":[0.0003026314,0.0000114116765,0.000013068404,0.00022451325,0.000011764212,0.00006544805,0.000023344433,0.000013359941,0.0015667913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.078575e-7,0.000005441733,0.0010027548,7.459684e-9,1.4521822e-7,1.932822e-8,0.000014065871,0.0000066454327,0.00008226815,0.024420187,0.9541115,0.020356618],"study_design_scores_gemma":[0.000035302743,0.0000051376705,0.00015394033,6.239766e-8,1.7641631e-7,2.4646363e-7,0.0000843792,0.0014044681,0.0016673141,0.15049128,0.8461391,0.000018593744],"about_ca_topic_score_codex":0.000012880213,"about_ca_topic_score_gemma":0.0000010271806,"teacher_disagreement_score":0.92374414,"about_ca_system_score_codex":0.000005094165,"about_ca_system_score_gemma":0.00001031475,"threshold_uncertainty_score":0.9992106},"labels":[],"label_agreement":null},{"id":"W7096747409","doi":"","title":"CORBA Based HLA/RTI Design Approach","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Common Object Request Broker Architecture; Modularity (biology); Architecture; Software; Control (management); Systems design; Modular design; Systems architecture; Software architecture","score_opus":0.4075571219953565,"score_gpt":0.48145912846612854,"score_spread":0.07390200647077205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096747409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018781574,0.00000694597,0.8709983,0.00032139727,0.000024184139,0.00023926469,0.000001169448,0.00017222452,0.12635832],"genre_scores_gemma":[0.7124945,2.6655425e-7,0.28142774,0.0008572132,0.000028954933,0.000014036046,0.0000021815672,0.000005021229,0.0051700836],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984487,0.000046286375,0.00039640808,0.0002926296,0.0006498569,0.00016606702],"domain_scores_gemma":[0.9975996,0.0014788148,0.00008946137,0.0005368818,0.00020096381,0.00009427602],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036044235,0.0000720304,0.00010375393,0.00017078618,0.000118697564,0.00010771815,0.0004279386,0.00006014232,0.0012695808],"category_scores_gemma":[0.00042536217,0.000049250608,0.00006199111,0.0008309383,0.00004580574,0.00010017438,0.00003073209,0.00006053453,0.00044344255],"study_design_candidate":"not_applicable","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":[0.00008800469,0.000594178,0.014333295,0.000002683422,0.000009604418,0.0000037820132,0.0001879301,0.013219456,0.0055249026,0.2418755,0.31783065,0.40633002],"study_design_scores_gemma":[0.00056432356,0.0000878481,0.03141372,0.000003077769,0.000008800293,0.000004738412,0.00051114167,0.48170847,0.0571775,0.10875609,0.31938037,0.0003839447],"about_ca_topic_score_codex":0.000013388069,"about_ca_topic_score_gemma":0.000002547532,"teacher_disagreement_score":0.71061635,"about_ca_system_score_codex":0.000017716764,"about_ca_system_score_gemma":0.000033378314,"threshold_uncertainty_score":0.9996434},"labels":[],"label_agreement":null},{"id":"W7098002703","doi":"","title":"Département d’Informatique et de Recherche Opérationnelle","year":2007,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Process (computing); Point (geometry); Implementation; Simple (philosophy); Stochastic process","score_opus":0.6210074774217414,"score_gpt":0.618588849868096,"score_spread":0.002418627553645414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098002703","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":[0.012441074,0.0000026836785,0.65267396,0.0018690968,0.000016118001,0.00012512435,9.195167e-7,0.00008804114,0.332783],"genre_scores_gemma":[0.81289536,0.000007626992,0.16839024,0.0038994008,0.000031852804,0.000021317706,0.0000036869728,0.0000040929954,0.014746449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986976,0.00013339102,0.00047836953,0.00013424274,0.0004130802,0.00014336029],"domain_scores_gemma":[0.9974662,0.001825688,0.00009464044,0.00034981887,0.00018290624,0.0000807455],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015954899,0.000055051936,0.00007081665,0.000110731264,0.00009293072,0.00012306726,0.0002897507,0.000096027776,0.0017408727],"category_scores_gemma":[0.00113645,0.000039665534,0.00004366892,0.00049695536,0.000017736105,0.00025649814,0.000046522015,0.00012682112,0.00047709106],"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":[0.000007040557,0.000055390836,0.002534526,8.942922e-7,0.000003514706,4.4182593e-7,0.0017238788,0.0005394686,0.0015728213,0.81906873,0.08540926,0.08908403],"study_design_scores_gemma":[0.00015969989,0.000028434693,0.0102780815,0.0000027228602,0.0000019203662,0.000003909241,0.0018621037,0.014040353,0.03185245,0.37986565,0.5617833,0.00012138551],"about_ca_topic_score_codex":0.000028086724,"about_ca_topic_score_gemma":0.00005855712,"teacher_disagreement_score":0.80045426,"about_ca_system_score_codex":0.000086319116,"about_ca_system_score_gemma":0.000091221285,"threshold_uncertainty_score":0.9991717},"labels":[],"label_agreement":null},{"id":"W7098022213","doi":"","title":"Département d’I.R.O., Université de Montréal","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Relation (database); Homogeneous; Limiting","score_opus":0.13526508154136774,"score_gpt":0.3655398804374083,"score_spread":0.23027479889604058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098022213","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":[0.64615625,0.000052203726,0.120809875,0.0041908626,0.000022976043,0.00014116932,0.0000037647142,0.00017930641,0.2284436],"genre_scores_gemma":[0.92745364,0.000024339472,0.0045328415,0.00034391863,0.000013198339,0.000004348647,8.2191593e-7,0.000001994547,0.06762488],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929535,0.000018025012,0.00014227087,0.0001321503,0.00032891796,0.00008327334],"domain_scores_gemma":[0.99943805,0.00013080506,0.00003580939,0.00026707642,0.000068189074,0.00006010057],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023810666,0.00003437712,0.000051566625,0.000053325617,0.00023978579,0.000011540088,0.00020684222,0.000020947427,0.0023803522],"category_scores_gemma":[0.00004524808,0.00002528791,0.000038728136,0.0002227145,0.000027880167,0.000055232376,0.00007302098,0.000020819252,0.0007277231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009222976,0.000053501146,0.058546536,1.452486e-7,0.0000042067622,0.000010099281,0.00057222485,0.00063242717,0.0012370218,0.048871964,0.8675742,0.022488432],"study_design_scores_gemma":[0.00014669387,0.000016274329,0.060888942,4.5647303e-7,0.0000016136629,0.000019780282,0.00019991658,0.005882888,0.005687112,0.0096923085,0.91739833,0.00006568055],"about_ca_topic_score_codex":0.00013598685,"about_ca_topic_score_gemma":0.000051049334,"teacher_disagreement_score":0.28129742,"about_ca_system_score_codex":0.0000700042,"about_ca_system_score_gemma":0.000016891589,"threshold_uncertainty_score":0.9985316},"labels":[],"label_agreement":null},{"id":"W7100349654","doi":"","title":"A DISCRETE EVENT SIMULATION ENVIRONMENT TAILORED TO THE NEEDS OF MILITARY HUMAN RESOURCES MANAGEMENT","year":2014,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Discrete event simulation; Process (computing); Human resources; Military personnel; Outcome (game theory); Software","score_opus":0.050072358487442195,"score_gpt":0.37137916897610945,"score_spread":0.32130681048866727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100349654","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":[0.29714343,0.000024430889,0.68526214,0.003977038,0.000022828965,0.0007440247,0.000005049213,0.00005118777,0.012769842],"genre_scores_gemma":[0.99134964,0.0000037671261,0.0029537275,0.0003843641,0.000036268455,0.00006626922,0.000004147236,0.000006153513,0.0051956694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998313,0.00010614276,0.0005198735,0.00020473513,0.0007426704,0.00011355754],"domain_scores_gemma":[0.99856716,0.00036588067,0.00010161307,0.0008618627,0.000043798904,0.00005970894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013841083,0.00008496641,0.00012345322,0.00018821414,0.00018666024,0.00002180457,0.0005525178,0.0000265036,0.0006361598],"category_scores_gemma":[0.00006986242,0.00004844433,0.00008644274,0.00041522286,0.00005185875,0.0000614256,0.00021513487,0.000036353096,0.00017179838],"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":[0.0000241599,0.00009362605,0.0025395458,0.000004678158,0.000021170405,9.506305e-8,0.0024035983,0.827754,0.0007203843,0.06480687,0.012587552,0.08904429],"study_design_scores_gemma":[0.00022660119,0.00015000976,0.05787337,0.000010532924,0.000020449079,1.4662375e-7,0.0027641181,0.16764349,0.0009347769,0.062726155,0.7074911,0.00015924497],"about_ca_topic_score_codex":0.000049287377,"about_ca_topic_score_gemma":0.000011733978,"teacher_disagreement_score":0.69490355,"about_ca_system_score_codex":0.000020393909,"about_ca_system_score_gemma":0.0000015701258,"threshold_uncertainty_score":0.69655037},"labels":[],"label_agreement":null},{"id":"W7100397561","doi":"","title":"2005. Review and update of findings from economics of simulation study groups. Paper presented at","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Treaty; North Atlantic Treaty; Cost–benefit analysis; Economic model","score_opus":0.0814203799026462,"score_gpt":0.4068896015131942,"score_spread":0.32546922161054803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100397561","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":[0.99225605,0.0007697863,0.0038129552,0.0014332971,0.000009427997,0.00065346976,0.000042620497,0.000023158162,0.0009992337],"genre_scores_gemma":[0.99602056,0.0007035719,0.0019214033,0.00038761977,0.000012760936,0.000011981332,0.000010188746,0.000004801997,0.0009271009],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871117,0.000044938053,0.00072443136,0.00024483018,0.00020467782,0.000069966554],"domain_scores_gemma":[0.9985704,0.000574319,0.00024984442,0.0004261288,0.00013807103,0.000041232248],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006775658,0.00007032428,0.00026483386,0.00007343249,0.000042248066,0.000018003095,0.00020720925,0.000032806423,0.0028844303],"category_scores_gemma":[0.00016910383,0.000052390293,0.000046807854,0.00016954455,0.000039280298,0.00025262972,0.00012718333,0.00002882735,0.000043657383],"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":[0.00019689255,0.0021739982,0.54502434,0.0001280239,0.00028199065,4.7520686e-7,0.0020472377,0.118950434,0.004356509,0.022851672,0.108731315,0.1952571],"study_design_scores_gemma":[0.0016555862,0.00015605193,0.32236376,0.000091239264,0.00022909544,8.0430533e-7,0.0004724004,0.2022814,0.006917071,0.023754263,0.44164824,0.00043007877],"about_ca_topic_score_codex":0.00005647181,"about_ca_topic_score_gemma":0.00013741179,"teacher_disagreement_score":0.33291692,"about_ca_system_score_codex":0.00002194884,"about_ca_system_score_gemma":0.000010110039,"threshold_uncertainty_score":0.9980271},"labels":[],"label_agreement":null},{"id":"W7106505476","doi":"10.3390/computers14120514","title":"DEVS Closure Under Coupling, Universality, and Uniqueness: Enabling Simulation and Software Interoperability from a System-Theoretic Foundation","year":2025,"lang":"en","type":"article","venue":"Computers","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"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; Interoperability; Modular design; Scalability; Composability; Closure (psychology); Discrete event simulation; Loose coupling","score_opus":0.06378165791996038,"score_gpt":0.38143352462078806,"score_spread":0.3176518667008277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106505476","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":[0.44029334,0.00006461946,0.5589495,0.0002602255,0.00008493764,0.0001782553,0.0000048385336,0.00011403623,0.00005024857],"genre_scores_gemma":[0.9934911,0.0000076276897,0.006187418,0.00019208032,0.000023826813,0.000007377037,0.000019413284,0.0000062572954,0.00006485655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986941,0.00010975151,0.0003927768,0.00046455735,0.00023859442,0.00010021841],"domain_scores_gemma":[0.9971938,0.0019159005,0.00012964894,0.00040345368,0.00030185786,0.00005535122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007766412,0.000115128256,0.00019207492,0.00018383689,0.0002454905,0.00036706062,0.0002305646,0.00008573934,0.000017368922],"category_scores_gemma":[0.00024829776,0.00009984697,0.000036881465,0.00042455687,0.00015832024,0.0002399673,0.0002060128,0.00008656288,0.0000052474834],"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":[0.000100061014,0.00008495122,0.18355349,0.00012928713,0.000082730105,0.0000022022737,0.001587418,0.41087246,0.00028267986,0.24873185,0.00042912998,0.15414374],"study_design_scores_gemma":[0.00034304042,0.000018733885,0.02969775,0.00012535545,0.000024340094,6.563297e-7,0.0008692732,0.8734757,0.00011742625,0.0929506,0.002249722,0.0001274111],"about_ca_topic_score_codex":0.00013378802,"about_ca_topic_score_gemma":0.000021802616,"teacher_disagreement_score":0.5531978,"about_ca_system_score_codex":0.00010718533,"about_ca_system_score_gemma":0.00004852008,"threshold_uncertainty_score":0.40716413},"labels":[],"label_agreement":null},{"id":"W7116116849","doi":"10.11159/jffhmt.2025.047","title":"Optimization of Additive Manufacturing Processes for Vehicle License Plates via Discrete Event Simulation and Cost Analysis","year":2025,"lang":"","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Cost analysis; Minification; Discrete event simulation; Process (computing)","score_opus":0.025997900222718893,"score_gpt":0.3469107184505911,"score_spread":0.3209128182278722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116116849","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":[0.13078839,0.001313951,0.8660697,0.0008234402,0.00007104892,0.0006855363,0.00020496953,0.000008064938,0.000034933946],"genre_scores_gemma":[0.9895654,0.0020793406,0.008077108,0.00007251998,0.00005781853,0.000023268414,0.000019526995,0.000011280806,0.00009377154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754626,0.00008548466,0.0014221114,0.00032953275,0.00042306265,0.00019353218],"domain_scores_gemma":[0.99641216,0.0018842393,0.00018048965,0.00018055577,0.0012059594,0.00013661246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009050731,0.00022032205,0.0006646647,0.00076846156,0.00029137186,0.0001821306,0.00017549508,0.00016476664,0.00010972172],"category_scores_gemma":[0.00021769168,0.00017517072,0.00028613603,0.0009958148,0.00013050102,0.00061893184,0.000021243051,0.00014003078,2.0614173e-7],"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":[0.0006116429,0.000088801644,0.0011625214,0.00013202979,0.00043180323,6.28661e-7,0.0005680421,0.9556176,0.0024763802,0.00008520672,0.000048645732,0.038776707],"study_design_scores_gemma":[0.0013000162,0.0002686178,0.0033226872,0.00019662375,0.0013743341,0.0000020330704,0.00026866994,0.9317544,0.058124065,0.0020321505,0.0011944618,0.00016195976],"about_ca_topic_score_codex":0.000008928081,"about_ca_topic_score_gemma":0.000011205237,"teacher_disagreement_score":0.858777,"about_ca_system_score_codex":0.00004111431,"about_ca_system_score_gemma":0.00012623804,"threshold_uncertainty_score":0.7143254},"labels":[],"label_agreement":null},{"id":"W7117299222","doi":"10.1016/j.procs.2025.12.108","title":"Designing a Reusable Pipeline Architecture for Cross-Domain Simulations","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"York University","funders":"Ministero dell'Istruzione e del Merito","keywords":"Workflow; Software deployment; Pipeline (software); Modular design; Reuse; Abstraction; Architecture; Cloud computing","score_opus":0.06846767344640158,"score_gpt":0.43314787407638433,"score_spread":0.36468020062998274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117299222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016678017,0.000025541149,0.9789308,0.0020351768,0.00023923996,0.00070203416,0.000015406999,0.0001696873,0.0012041022],"genre_scores_gemma":[0.5373382,3.8933928e-7,0.46095267,0.00070520234,0.000094579416,0.00006821922,0.0000023409025,0.0000043427635,0.0008340725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976115,0.000025641168,0.00053263095,0.00077151234,0.000716552,0.0003421619],"domain_scores_gemma":[0.99631375,0.001578564,0.00015091833,0.000683634,0.0011684487,0.00010466232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367748,0.00012761455,0.00017640152,0.00056182843,0.00093712757,0.0009107647,0.0015689777,0.000052697436,0.00002674455],"category_scores_gemma":[0.0016627823,0.000101300684,0.00007826199,0.0035413604,0.00038480462,0.00044031432,0.000327203,0.00010474082,0.00002118942],"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":[0.000055078784,0.00021813679,0.021313628,0.000039275084,0.000009825626,9.24913e-7,0.0015432563,0.3946657,0.022408307,0.14161368,0.032241903,0.3858903],"study_design_scores_gemma":[0.00023070336,0.000025780324,0.0017092926,0.000017344995,0.0000028748138,0.0000016980083,0.000013826581,0.55866516,0.008456769,0.39146775,0.039291304,0.00011753648],"about_ca_topic_score_codex":0.0000032080009,"about_ca_topic_score_gemma":0.000004758345,"teacher_disagreement_score":0.52066016,"about_ca_system_score_codex":0.0000520389,"about_ca_system_score_gemma":0.00038267762,"threshold_uncertainty_score":0.8782525},"labels":[],"label_agreement":null},{"id":"W7117753345","doi":"10.1016/j.array.2025.100661","title":"Multi-rate real-time simulation: Techniques, models, frameworks, and challenges","year":2025,"lang":"en","type":"article","venue":"Array","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"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 du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Canada Foundation for Innovation; CMC Microsystems","keywords":"Key (lock); Work (physics)","score_opus":0.1470139707843413,"score_gpt":0.4147768251278123,"score_spread":0.26776285434347097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117753345","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005222639,0.0011925413,0.92376214,0.011587486,0.000076600074,0.00064618664,0.000014790727,0.0007346034,0.056763034],"genre_scores_gemma":[0.90217245,0.0015086471,0.09008968,0.000569247,0.000049993057,0.000082935614,0.000005089441,0.000013041838,0.0055089425],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998529,0.00010521114,0.00042936672,0.00048985943,0.00028657747,0.00015994476],"domain_scores_gemma":[0.99756515,0.0012589317,0.00011897767,0.0007140998,0.0002750646,0.00006777153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151502,0.00013290416,0.00021071843,0.00022466126,0.00020513372,0.00014636674,0.0003595795,0.00025000784,0.00012991407],"category_scores_gemma":[0.00040892774,0.00010858481,0.00005559438,0.0005253508,0.0000834094,0.0002790324,0.00008979644,0.00018252255,0.00007722747],"study_design_candidate":"design_other","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":[0.000041955875,0.0002563764,0.0008997035,0.000025122752,0.0000429707,0.0000024293306,0.0010836371,0.027807068,0.011981777,0.23424089,0.0103288805,0.7132892],"study_design_scores_gemma":[0.00020319877,0.000025394838,0.004691547,0.000049562364,0.00001247944,7.3265227e-7,0.00015923362,0.36284998,0.0029159884,0.4598371,0.16902944,0.00022532],"about_ca_topic_score_codex":0.000019582845,"about_ca_topic_score_gemma":0.000007405294,"teacher_disagreement_score":0.89694977,"about_ca_system_score_codex":0.00002271307,"about_ca_system_score_gemma":0.0000342038,"threshold_uncertainty_score":0.44279602},"labels":[],"label_agreement":null},{"id":"W7125592111","doi":"10.1109/mecatronics-rem67547.2025.11349408","title":"From Data to Bottlenecks: Enhancing Workshop Performance Via Discrete-Event Simulation and Operator Modelling","year":2025,"lang":"","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Operator (biology); Sizing; Task (project management); Resource (disambiguation); Identification (biology); Plan (archaeology); Dual (grammatical number); Process (computing); Focus (optics)","score_opus":0.15890432851424968,"score_gpt":0.4522157119246171,"score_spread":0.29331138341036744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125592111","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":[0.23548484,0.00039913293,0.76010424,0.0021372808,0.00023569023,0.00080832315,0.000102700855,0.00009067988,0.0006371174],"genre_scores_gemma":[0.93841344,0.00017868234,0.056125738,0.0009539781,0.00017885743,0.000047516853,0.000082675775,0.000019986577,0.003999152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955627,0.00011021645,0.0014661019,0.001664158,0.0007989837,0.00039784962],"domain_scores_gemma":[0.99435896,0.0021762731,0.0002106512,0.0026032063,0.00038762714,0.00026328297],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017275921,0.0003442728,0.0004602249,0.00037273348,0.00076524535,0.0010006512,0.0015709714,0.00021596088,0.00086760195],"category_scores_gemma":[0.0004764604,0.0002966108,0.00006722075,0.0016876749,0.00008363278,0.0013919915,0.00174889,0.0002522437,0.00016726182],"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":[0.000038531452,0.000046268193,0.0005966904,0.000008410063,0.00002080084,2.1769048e-7,0.00049591094,0.85990006,0.00059948175,0.00049146684,0.0008076181,0.13699451],"study_design_scores_gemma":[0.00023872251,0.00002930292,0.00049388054,0.0002583421,0.00004986887,1.7314945e-7,0.000839037,0.96837336,0.003092811,0.0038696404,0.022420269,0.0003345968],"about_ca_topic_score_codex":0.00026491057,"about_ca_topic_score_gemma":0.00008888783,"teacher_disagreement_score":0.7039785,"about_ca_system_score_codex":0.000089689944,"about_ca_system_score_gemma":0.0001669951,"threshold_uncertainty_score":0.9999486},"labels":[],"label_agreement":null},{"id":"W7151816807","doi":"10.70675/49b8dee8z1e9cz4ba6z969bz371f1125517a","title":"Partitionnement de maillages pour l'équilibrage de charge de simulations multi-physiques","year":2023,"lang":"","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Charge (physics); Context (archaeology); Agrégation; Lagrangian","score_opus":0.13348917644210348,"score_gpt":0.4586990618199946,"score_spread":0.3252098853778911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151816807","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":[0.5066919,0.00019903936,0.47514445,0.0041187583,0.0004429803,0.0028485095,0.00068742305,0.0018896812,0.007977289],"genre_scores_gemma":[0.84735584,0.00048760953,0.035924684,0.0008434662,0.00036034905,0.00077249546,0.0011642303,0.00015397779,0.11293737],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99310124,0.00055506313,0.002115921,0.0015014524,0.0013519881,0.0013743174],"domain_scores_gemma":[0.99323386,0.0026648538,0.0009899371,0.0014385852,0.0009965191,0.0006762572],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025000735,0.00078472093,0.0007880314,0.0009869293,0.0013359097,0.0010780348,0.0014472142,0.00082709757,0.013945683],"category_scores_gemma":[0.0018069262,0.00077074993,0.00067220663,0.0021540665,0.0001545692,0.000616375,0.00020564217,0.0005806869,0.0028709758],"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":[0.00036902103,0.0064629894,0.07457707,0.00069896696,0.0009245803,0.000082012986,0.041701872,0.14187445,0.23493813,0.192013,0.20826843,0.09808949],"study_design_scores_gemma":[0.00097132905,0.000112438545,0.06643723,0.00029668876,0.00020549046,0.0000061657197,0.008883409,0.7489948,0.06534681,0.094850644,0.012608613,0.001286328],"about_ca_topic_score_codex":0.0006782323,"about_ca_topic_score_gemma":0.0009271193,"teacher_disagreement_score":0.6071204,"about_ca_system_score_codex":0.000642698,"about_ca_system_score_gemma":0.0014409955,"threshold_uncertainty_score":0.99996424},"labels":[],"label_agreement":null},{"id":"W7154457779","doi":"10.1109/icat2i69744.2025.11472716","title":"Modeling and Simulation of Transportation Systems: From Theory to Practice","year":2025,"lang":"","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Modeling and simulation; Simulation modeling; Mathematical model; Field (mathematics); System dynamics","score_opus":0.06576778186955351,"score_gpt":0.432855935995599,"score_spread":0.3670881541260455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7154457779","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":[0.06066148,0.0007251808,0.9332633,0.0010047468,0.00019770418,0.0008960237,0.000113066424,0.000051878837,0.003086596],"genre_scores_gemma":[0.9719431,0.000069763424,0.026004422,0.0004313762,0.000026251195,0.000036013138,0.00001615045,0.000007784764,0.0014651705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971894,0.000249348,0.0013048128,0.00054752745,0.0005799675,0.00012895686],"domain_scores_gemma":[0.99237806,0.005590551,0.00025642838,0.00054062397,0.0011471037,0.000087247674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020764067,0.00015105528,0.0003153342,0.00036539434,0.00017430213,0.00020827532,0.00026548628,0.00015124796,0.00017867099],"category_scores_gemma":[0.0014453969,0.00013393178,0.000066137014,0.0011502941,0.00004738583,0.00058560935,0.000031535674,0.00009426895,0.000019135587],"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":[0.0001133213,0.000054242508,0.00013197916,0.00001215846,0.00002420155,1.2377724e-7,0.0009579307,0.84577173,0.00024213009,0.10346079,0.00008833168,0.04914308],"study_design_scores_gemma":[0.00021112419,0.000032610464,0.00033171073,0.00012071929,0.00011077136,6.329449e-8,0.0062802387,0.92539895,0.00031869445,0.05275924,0.014321893,0.00011401143],"about_ca_topic_score_codex":0.0008248364,"about_ca_topic_score_gemma":0.000031488158,"teacher_disagreement_score":0.9112816,"about_ca_system_score_codex":0.000031777006,"about_ca_system_score_gemma":0.00010166204,"threshold_uncertainty_score":0.54615796},"labels":[],"label_agreement":null},{"id":"W7163692829","doi":"10.13182/t130-42008","title":"Verification of Depletion Capability of Monte Carlo iMC Code","year":2023,"lang":"","type":"article","venue":"Transactions of the American Nuclear Society","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Monte Carlo method; Code (set theory); Source code; Mockup","score_opus":0.05572378840971179,"score_gpt":0.35356313335030093,"score_spread":0.29783934494058917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7163692829","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":[0.96866554,0.00003774751,0.02728175,0.0022788194,0.00014445219,0.000662459,0.00065180345,0.00010563625,0.00017181707],"genre_scores_gemma":[0.99483633,0.000595648,0.0041358094,0.00006351238,0.000016085141,0.000021671729,0.0000023577038,0.000031709023,0.00029684955],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9965915,0.00028568332,0.0013693114,0.0004788334,0.0010340591,0.00024059245],"domain_scores_gemma":[0.9949405,0.00070075237,0.0017276747,0.0017807236,0.00077096745,0.00007934658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014712629,0.0001953562,0.00061522244,0.00012829808,0.00038285038,0.000023969,0.001130444,0.000116177645,0.00030739547],"category_scores_gemma":[0.0001695225,0.00016346008,0.0012129513,0.004618665,0.0024217393,0.0001923038,0.000055086926,0.00026901928,0.000026407575],"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":[0.00065596675,0.0029253752,0.021229107,0.00059032044,0.0010144011,1.9327146e-7,0.04831778,0.22896802,0.34834135,0.0036574749,0.021048268,0.32325172],"study_design_scores_gemma":[0.0009535623,0.00070105534,0.4517228,0.00017509292,0.000619812,0.0000034126222,0.048077747,0.43182766,0.045276757,0.0033859517,0.0166391,0.0006170386],"about_ca_topic_score_codex":0.0020257807,"about_ca_topic_score_gemma":0.00004492591,"teacher_disagreement_score":0.43049368,"about_ca_system_score_codex":0.00009855427,"about_ca_system_score_gemma":0.00015030697,"threshold_uncertainty_score":0.89229995},"labels":[],"label_agreement":null},{"id":"W76307491","doi":"","title":"Freight Train Optimization and Simulation","year":2013,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; Freight trains; Rail freight transport; Schedule; Scheduling (production processes); Track (disk drive); Transport engineering; Engineering; Operations research; Passenger train; Computer science; Real-time computing; Automotive engineering; Operations management","score_opus":0.08410688593957494,"score_gpt":0.38129785377652253,"score_spread":0.2971909678369476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W76307491","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":[0.71614736,0.00019084566,0.01630153,0.00058325985,0.0005334429,0.0019350899,0.00003092585,0.00030178775,0.26397574],"genre_scores_gemma":[0.83076304,0.000086054526,0.0003836239,0.00000882913,0.00020798603,0.000012342613,0.00014007492,0.00003629974,0.16836175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99539375,0.00069703016,0.00057806564,0.001062919,0.0017947163,0.00047350337],"domain_scores_gemma":[0.99547195,0.001707071,0.00039495336,0.0009154807,0.0011882405,0.00032231674],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001370673,0.00028044276,0.00040844546,0.002172655,0.0011006612,0.0007590988,0.00096912,0.0005000485,0.000690618],"category_scores_gemma":[0.00056881626,0.00027721556,0.00016776397,0.0023359263,0.00023025736,0.0007306594,0.00014716851,0.0007539892,0.00012552897],"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":[0.0019584838,0.0013158574,0.066136986,0.00047267837,0.0008113019,0.00066275836,0.008592153,0.50482506,0.021823836,0.18672958,0.06698891,0.1396824],"study_design_scores_gemma":[0.0014799692,0.00055628247,0.099964194,0.00018633332,0.00013400856,0.000017124998,0.009401853,0.5733993,0.014341899,0.039839186,0.259118,0.0015618382],"about_ca_topic_score_codex":0.0023753375,"about_ca_topic_score_gemma":0.0011223819,"teacher_disagreement_score":0.19212908,"about_ca_system_score_codex":0.00032141694,"about_ca_system_score_gemma":0.00041928812,"threshold_uncertainty_score":0.999968},"labels":[],"label_agreement":null},{"id":"W79798936","doi":"10.5555/2557696.2557726","title":"Mobile simulation with applications for serious gaming","year":2013,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","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":"Carleton University","funders":"","keywords":"Computer science; DEVS; Formalism (music); Cloud computing; Middleware (distributed applications); Server; Mobile computing; Android (operating system); Distributed computing; Mobile device; Human–computer interaction; Modeling and simulation; Simulation; Operating system","score_opus":0.07317687060165615,"score_gpt":0.4242092232542901,"score_spread":0.351032352652634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W79798936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015008608,0.000011631767,0.9724881,0.00021553149,0.0000089316845,0.0030853539,0.000007007056,0.00019326419,0.008981542],"genre_scores_gemma":[0.9053687,9.653461e-7,0.08088781,0.00023383656,0.000045406887,0.005993354,0.000010808366,0.000010718166,0.00744844],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988987,0.000013236854,0.00032187047,0.00030368473,0.0003297335,0.00013281699],"domain_scores_gemma":[0.99788165,0.0008180759,0.000117459946,0.00049811957,0.0006179932,0.000066673354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002813809,0.00007940013,0.000109106564,0.00010784118,0.00021035297,0.00021525694,0.0002723445,0.000043022672,0.000858388],"category_scores_gemma":[0.00007312379,0.00005196781,0.000047351685,0.0005162672,0.000036230496,0.00030109327,0.000027328244,0.000033363824,0.00046793174],"study_design_candidate":"design_other","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":[0.000009981441,0.00010759163,0.0024292541,0.0000046626333,0.00000962953,4.3344425e-8,0.00019636728,0.12621287,0.0014259916,0.048409596,0.008964165,0.8122299],"study_design_scores_gemma":[0.00023894865,0.00010882362,0.0020180638,0.0000020965629,0.0000062614777,9.939737e-7,0.00037133263,0.38821164,0.0012668642,0.093159504,0.51446384,0.00015165046],"about_ca_topic_score_codex":0.00002206166,"about_ca_topic_score_gemma":0.000006295343,"teacher_disagreement_score":0.8916003,"about_ca_system_score_codex":0.00001733054,"about_ca_system_score_gemma":0.000020586345,"threshold_uncertainty_score":0.9398747},"labels":[],"label_agreement":null},{"id":"W799228609","doi":"10.2139/ssrn.2556527","title":"A General Importance Sampling Algorithm for Estimating Portfolio Loss Probabilities in Linear Factor Models","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Portfolio; Factor (programming language); Sampling (signal processing); Econometrics; Computer science; Algorithm; Statistics; Mathematics; Economics; Financial economics","score_opus":0.15931523086512248,"score_gpt":0.41947354460892994,"score_spread":0.2601583137438075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W799228609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18930742,0.00028584976,0.80953145,0.00025379297,0.000104940336,0.0003280552,0.000015235762,0.000041880183,0.0001313814],"genre_scores_gemma":[0.5516241,0.00005192808,0.44649765,0.000074960015,0.000452753,0.00007962413,0.0000065809772,0.000022849015,0.0011895275],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996915,0.000055242435,0.00086968776,0.0003325777,0.0006527569,0.001174778],"domain_scores_gemma":[0.9983883,0.0002891679,0.00037407046,0.0002842232,0.0005348849,0.00012938838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004774471,0.0001454956,0.00025766686,0.00022489682,0.00016743928,0.00015672253,0.00048704853,0.000081022714,0.000018888946],"category_scores_gemma":[0.0005717838,0.000115316514,0.00012699603,0.00044402946,0.000044719374,0.0005195313,0.00004747296,0.00062665244,0.000006113236],"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":[0.000048798713,0.00015678609,0.008157304,0.0000043972236,0.000038686492,0.000002567836,0.0012014146,0.18024431,0.00006136628,0.2738034,0.0004571889,0.53582376],"study_design_scores_gemma":[0.00026079296,0.000059578397,0.000041100753,0.000004932691,0.0000023249925,0.000043635577,0.00069684355,0.45187792,0.000021063925,0.54645824,0.00045224812,0.000081330676],"about_ca_topic_score_codex":0.00004245492,"about_ca_topic_score_gemma":0.00013018,"teacher_disagreement_score":0.53574246,"about_ca_system_score_codex":0.0006622142,"about_ca_system_score_gemma":0.0017834124,"threshold_uncertainty_score":0.4702471},"labels":[],"label_agreement":null},{"id":"W811515989","doi":"10.1016/b978-0-12-800887-4.00017-1","title":"Simulation methods, techniques and tools of computer systems and networks","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","score_opus":0.17736756642609489,"score_gpt":0.43506789681243485,"score_spread":0.25770033038634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W811515989","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000023304887,0.003581244,0.18163748,0.000031956955,0.00018484653,0.0013342393,0.000038597656,0.00014623438,0.8130221],"genre_scores_gemma":[0.016363602,0.00018616482,0.106406555,0.00010301375,0.0009144922,0.000091122274,0.000029274988,0.000084693005,0.87582105],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976505,0.00012582258,0.0009880965,0.0005315239,0.0005713623,0.0001326882],"domain_scores_gemma":[0.9957455,0.0020497902,0.0007135226,0.00068180746,0.0006838212,0.00012557807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026401216,0.00026794957,0.00068184576,0.00027284466,0.00008590895,0.00028455793,0.00029179608,0.0003959649,0.000028451404],"category_scores_gemma":[0.0001236191,0.00021165668,0.00009270163,0.000041634863,0.00021198156,0.00013511935,0.00026463912,0.00022603267,0.0000050141075],"study_design_candidate":"design_other","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":[0.000005359395,0.0000023297455,0.0000076143388,0.000013320821,0.0000147327255,8.404887e-7,0.00004571812,0.0011416376,0.0000031849274,0.024501482,0.00028588326,0.9739779],"study_design_scores_gemma":[0.00008918514,0.000059551374,0.000012222602,0.00014869601,0.000036588808,0.000007996831,0.000008549629,0.064156175,0.000015423566,0.054651894,0.88060856,0.00020517968],"about_ca_topic_score_codex":0.0000010736024,"about_ca_topic_score_gemma":9.4586954e-7,"teacher_disagreement_score":0.9737727,"about_ca_system_score_codex":0.000027861282,"about_ca_system_score_gemma":0.000038571736,"threshold_uncertainty_score":0.8631109},"labels":[],"label_agreement":null},{"id":"W83257241","doi":"10.5555/2557696.2557712","title":"Cellular simulation of asymmetric energy requirements in wireless sensor networks","year":2013,"lang":"en","type":"article","venue":"","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":"Carleton University; University of Ottawa","funders":"","keywords":"Wireless sensor network; Computer science; Range (aeronautics); Energy (signal processing); Wireless; Key distribution in wireless sensor networks; Computer network; Event (particle physics); Energy management; Distributed computing; Wireless network; Discrete event simulation; Real-time computing; Simulation; Engineering; Telecommunications","score_opus":0.093420483478467,"score_gpt":0.3785052773869522,"score_spread":0.28508479390848523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W83257241","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":[0.22517046,0.00001950076,0.76314837,0.00012689219,0.000040165858,0.00021423542,9.804502e-7,0.00004078278,0.0112386225],"genre_scores_gemma":[0.995752,0.0000066888424,0.002077327,0.00013494503,0.000027764052,0.000031401276,0.000005306251,0.0000071140266,0.0019574526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982079,0.00008040157,0.0007199644,0.00026465047,0.00057874154,0.00014832045],"domain_scores_gemma":[0.998086,0.0008469066,0.00021966791,0.00044259668,0.00035169983,0.000053155847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006158701,0.000081605256,0.00017842778,0.00046635515,0.000039508544,0.00006163651,0.00029954728,0.000083309096,0.0008894688],"category_scores_gemma":[0.00019821835,0.00006270154,0.00005794479,0.0020511851,0.000032106567,0.00025254115,0.00006496002,0.00004742162,0.00006965861],"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":[0.000007191266,0.00017288042,0.039294463,0.0000019396502,0.000006409959,5.5050975e-7,0.000043499927,0.60612404,0.00406445,0.029414704,0.0025371169,0.31833276],"study_design_scores_gemma":[0.00015477638,0.000017075608,0.011901194,0.0000040924638,0.0000016096286,8.059431e-8,0.000060335944,0.96750057,0.0060689286,0.012376772,0.0018372436,0.00007733507],"about_ca_topic_score_codex":0.00047116473,"about_ca_topic_score_gemma":0.000016494962,"teacher_disagreement_score":0.77058154,"about_ca_system_score_codex":0.00002551744,"about_ca_system_score_gemma":0.000011674792,"threshold_uncertainty_score":0.973906},"labels":[],"label_agreement":null},{"id":"W88488725","doi":"10.1007/11428848_50","title":"A Model of Virus Spreading Using Cell-DEVS","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"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; Population; Modeling and simulation; Distributed computing; Theoretical computer science; Simulation; Medicine","score_opus":0.14781605596822492,"score_gpt":0.3821332924414061,"score_spread":0.23431723647318117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W88488725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018544688,0.00010927521,0.98922706,0.00010455107,0.00014177432,0.00027349248,0.000020414052,0.000048626214,0.008220323],"genre_scores_gemma":[0.5769007,0.000011541135,0.4218661,0.00029602088,0.00014595094,0.0000026206556,0.0000011878931,0.000017153767,0.00075871235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996461,0.000016255473,0.00083296123,0.0009128623,0.0014908686,0.00028609807],"domain_scores_gemma":[0.9970533,0.0008048928,0.0005300961,0.0010747904,0.00044076372,0.000096130025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013476454,0.00026336277,0.00043442694,0.000939196,0.00017467194,0.00021458039,0.0018278317,0.00023216434,0.000108101485],"category_scores_gemma":[0.00016864443,0.00021759332,0.00014307217,0.0006701351,0.0004960458,0.00028747984,0.00038447874,0.00034116808,0.000027884375],"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":[0.0000023414345,0.000014114127,0.000042532007,0.000003663813,0.0000011570016,8.92554e-7,0.00022284173,0.78169084,0.006579267,0.004080953,0.00001756219,0.20734385],"study_design_scores_gemma":[0.000056720113,0.000015479158,0.0000065747054,0.00005809035,0.000004473016,0.0000041250823,1.8459659e-7,0.77011704,0.01501378,0.21397616,0.00056605716,0.00018132407],"about_ca_topic_score_codex":0.000027745291,"about_ca_topic_score_gemma":0.00003316488,"teacher_disagreement_score":0.57504624,"about_ca_system_score_codex":0.00015517986,"about_ca_system_score_gemma":0.0003425873,"threshold_uncertainty_score":0.8873198},"labels":[],"label_agreement":null},{"id":"W96008780","doi":"","title":"Flow Control in Optimistic Simulation","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Rollback; Flow control (data); Control (management); Distributed computing; Stability (learning theory); Control flow; Flow (mathematics); Granularity; Latency (audio); Parallel computing; Real-time computing; Database transaction; Artificial intelligence; Machine learning","score_opus":0.13374582771152246,"score_gpt":0.4503044750310333,"score_spread":0.3165586473195109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W96008780","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":[0.007965331,0.000009028615,0.9296963,0.00026381528,0.00002992175,0.00020250615,0.000002343723,0.00005517471,0.061775584],"genre_scores_gemma":[0.98056966,5.5967183e-7,0.016785648,0.00041796226,0.000009133019,0.000020289597,9.078439e-7,0.0000035447201,0.002192314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989404,0.00007768905,0.00034968246,0.00020127291,0.00033210672,0.00009885613],"domain_scores_gemma":[0.9982104,0.0012712068,0.000052525666,0.0002999767,0.00012535193,0.000040559928],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009942623,0.000051892395,0.00010018103,0.00013735777,0.00004675267,0.00007023285,0.0001460752,0.0000397346,0.0023844347],"category_scores_gemma":[0.0015895114,0.00003872039,0.000034988498,0.00054127973,0.000017654416,0.000106290994,0.0000066746456,0.0000438225,0.00031496337],"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":[0.0000028997686,0.000027903316,0.005254417,1.8129022e-7,6.7231787e-7,3.7065087e-7,0.000023624012,0.93465567,0.000058727343,0.04723788,0.00081308157,0.011924552],"study_design_scores_gemma":[0.00027497203,0.000006935211,0.0032661012,8.9954045e-7,0.0000010188575,3.389029e-7,0.000032728607,0.8857938,0.0001019049,0.077321365,0.033149227,0.00005071824],"about_ca_topic_score_codex":0.0000067136693,"about_ca_topic_score_gemma":0.000008987548,"teacher_disagreement_score":0.97260433,"about_ca_system_score_codex":0.000019587345,"about_ca_system_score_gemma":0.00001967292,"threshold_uncertainty_score":0.9985275},"labels":[],"label_agreement":null},{"id":"W987322622","doi":"","title":"Multi-criteria Decision Aiding in Project Planning Using Decision Trees and Simulation","year":2011,"lang":"en","type":"article","venue":"Silesian Digital Library (Silesian Library)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Decision tree; Computer science; Decision support system; Decision analysis; Operations research; Management science; Artificial intelligence; Engineering; Mathematics; Statistics","score_opus":0.17460306037950046,"score_gpt":0.3933303616726281,"score_spread":0.21872730129312762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W987322622","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":[0.8614526,0.000299892,0.1237959,0.000097146105,0.00014333647,0.0010914836,0.00027519776,0.00068060926,0.012163853],"genre_scores_gemma":[0.8518782,0.000010844759,0.14712879,0.00016028689,0.00010817023,0.00002774118,0.00011042935,0.00009879224,0.0004767009],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957764,0.0001501695,0.0015272192,0.0012127587,0.0007783524,0.00055508845],"domain_scores_gemma":[0.99683475,0.0015068513,0.00041885365,0.0008953034,0.000041973617,0.0003022472],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00035804292,0.0004774549,0.000577734,0.001668074,0.0003232514,0.0021391527,0.0010232308,0.000285245,0.00069885666],"category_scores_gemma":[0.00041324843,0.00041115057,0.0001908876,0.0024299622,0.00019162409,0.016178792,0.0006605876,0.00027581115,0.00007747266],"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":[0.0006231458,0.0004696842,0.7240528,0.000021794292,0.000019855805,0.00014448723,0.0019282658,0.0041739037,0.000282914,0.003478858,0.005271401,0.25953293],"study_design_scores_gemma":[0.001732913,0.00021779955,0.40860724,0.000683812,0.000017117249,0.00003597362,0.0014838184,0.46297422,0.0020010697,0.10640766,0.014673128,0.0011652411],"about_ca_topic_score_codex":0.000010206903,"about_ca_topic_score_gemma":0.0000014227276,"teacher_disagreement_score":0.45880032,"about_ca_system_score_codex":0.000026824802,"about_ca_system_score_gemma":0.00015130972,"threshold_uncertainty_score":0.99983406},"labels":[],"label_agreement":null}]}