{"meta":{"query_hash":"b17f17db18c3","filters":{"venue":"Proceedings of the 2004 Winter Simulation Conference, 2004."},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/b17f17db18c3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+2004+Winter+Simulation+Conference%2C+2004."},"results":[{"id":"W4231433840","doi":"10.1109/wsc.2004.1371431","title":"Optimal Lot-Sizing with Capacity-Constraints and Auto-Correlated Interarrival Times","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sizing; Computer science; Capacity planning; Mathematical optimization; Reliability engineering; Parallel computing; Mathematics; Engineering","score_opus":0.014097863031707524,"score_gpt":0.22156162122728323,"score_spread":0.20746375819557572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231433840","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":[0.9735908,0.00003437507,0.008679864,0.000794026,0.00010274659,0.00029570173,0.0000035005494,0.00016435761,0.016334664],"genre_scores_gemma":[0.9963659,8.417091e-7,0.0020706665,0.0003583903,0.00026877818,0.0000065859786,0.0000035512862,0.000029990508,0.00089531543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868494,0.00000539376,0.0004038873,0.00035686538,0.00027104915,0.00027788317],"domain_scores_gemma":[0.99868655,0.000052863958,0.000499877,0.00013598143,0.00060112285,0.000023626675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002519615,0.00026792465,0.00030240553,0.00027194456,0.00019059952,0.00027373733,0.00035696372,0.00008785875,0.00044669403],"category_scores_gemma":[0.00017604361,0.00019689728,0.00009430973,0.00044572048,0.00036700707,0.0019412512,0.00017372657,0.0002540287,0.00004212234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011367331,0.00037532204,0.071488164,0.000540842,0.0008178034,0.0000031563354,0.0037585695,0.77031624,0.0078679295,0.107213855,0.0011071601,0.035374224],"study_design_scores_gemma":[0.0014944277,0.000038300284,0.0023153864,0.0007191353,0.0003168306,0.00001183572,0.0007999413,0.9805484,0.0020921177,0.0069900528,0.0041407165,0.0005328541],"about_ca_topic_score_codex":0.00001897509,"about_ca_topic_score_gemma":0.000009251899,"teacher_disagreement_score":0.21023217,"about_ca_system_score_codex":0.000051754414,"about_ca_system_score_gemma":0.000021048976,"threshold_uncertainty_score":0.8029238},"labels":[],"label_agreement":null},{"id":"W4231888906","doi":"10.1109/wsc.2004.1371388","title":"Exploring Agent-Supported Simulation Brokering on the Semantic Web: Foundations for a Dynamic Composability Approach","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Semantic Web and Ontologies","field":"Computer Science","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":"Composability; Interoperability; Computer science; Interoperation; Rotation formalisms in three dimensions; Reuse; Software engineering; Semantic Web; Web service; Semantic interoperability; World Wide Web; Extensibility; Distributed computing; Engineering; Programming language","score_opus":0.12971149649879446,"score_gpt":0.30668096183148563,"score_spread":0.17696946533269117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231888906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48625857,0.000019053095,0.5075922,0.0025486522,0.00031964673,0.0011283694,0.0000068463783,0.00020270448,0.0019239401],"genre_scores_gemma":[0.99083036,0.0000028679137,0.008542644,0.00019096008,0.000085679494,0.00011194773,0.000004944134,0.000016980477,0.0002136006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981423,0.000026808504,0.000575245,0.0004957038,0.0004120748,0.00034789531],"domain_scores_gemma":[0.99800915,0.00050871266,0.0003910096,0.00042417413,0.00061334355,0.000053622094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056281063,0.0002549629,0.00027828992,0.0001585047,0.00037581785,0.00030364978,0.0011627405,0.00007627851,0.00001879271],"category_scores_gemma":[0.00043551432,0.00017108329,0.00020481883,0.00044592877,0.00014080571,0.0011748166,0.00021509413,0.00019296499,0.000014486821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105809784,0.0004086014,0.006166279,0.00021502127,0.00012698844,1.2274782e-7,0.0049308566,0.9234598,0.0029415812,0.04358263,0.0002944864,0.017767798],"study_design_scores_gemma":[0.0004917768,0.00006262516,0.008736694,0.00010842566,0.000031894702,0.0000015777478,0.00031067245,0.984252,0.001474372,0.0035159374,0.00081771554,0.00019635033],"about_ca_topic_score_codex":0.000008389687,"about_ca_topic_score_gemma":0.000010535668,"teacher_disagreement_score":0.5045718,"about_ca_system_score_codex":0.00014591271,"about_ca_system_score_gemma":0.00008151116,"threshold_uncertainty_score":0.6976574},"labels":[],"label_agreement":null},{"id":"W4232166325","doi":"10.1109/wsc.2004.1371538","title":"Visual Modeling of Business Problems: Workflow and Patterns","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","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":"Schlumberger (Canada)","funders":"","keywords":"Computer science; Visualization; Workflow; Visual modeling; Business process modeling; Visual analytics; Data mining; Process modeling; Story-driven modeling; Business process; Software engineering; Programming language; Software; Unified Modeling Language; Database; Work in process; Class diagram; Engineering","score_opus":0.026196988336116073,"score_gpt":0.24068410598717163,"score_spread":0.21448711765105555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232166325","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":[0.94657487,0.00019492749,0.049494646,0.0012363972,0.00010800661,0.00024931325,0.00000350826,0.00007919261,0.0020591447],"genre_scores_gemma":[0.9987358,0.0000137793995,0.00035310732,0.00021794159,0.00043155896,0.00000966025,0.0000058489927,0.000027564394,0.00020473817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849194,0.0000023215564,0.00058747816,0.0003229737,0.0003604898,0.00023482],"domain_scores_gemma":[0.9972855,0.000016896322,0.0005326072,0.000112148155,0.002037427,0.00001543969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026110493,0.00023528354,0.00035582096,0.00032372377,0.00012716987,0.00021688554,0.00034456523,0.000099030505,0.0000805681],"category_scores_gemma":[0.00011525137,0.00017914471,0.00010340469,0.0007631464,0.00007971966,0.0014909534,0.00019550388,0.0001348608,0.000007055703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054168413,0.00014017962,0.058863454,0.0009308951,0.00006221685,6.5452504e-8,0.0002373819,0.9253056,0.00059406954,0.0008622249,0.00006680894,0.01288292],"study_design_scores_gemma":[0.0004824388,0.0000050786803,0.002669987,0.00075456325,0.00013257665,5.804653e-7,0.00014701742,0.9927851,0.00015589327,0.0023669202,0.00029225153,0.00020759633],"about_ca_topic_score_codex":0.00016171898,"about_ca_topic_score_gemma":0.000026608743,"teacher_disagreement_score":0.067479484,"about_ca_system_score_codex":0.000020003765,"about_ca_system_score_gemma":0.000029407389,"threshold_uncertainty_score":0.730531},"labels":[],"label_agreement":null},{"id":"W4232579134","doi":"10.1109/wsc.2004.1371510","title":"A Simulation-Based First-to-Default (FtD) Credit Default Swap (CDS) Pricing Approach under Jump-Diffusion","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","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 Alberta","funders":"","keywords":"Credit default swap; Credit derivative; iTraxx; Credit default swap index; Synthetic CDO; Jump; Credit risk; Credit valuation adjustment; Jump diffusion; Copula (linguistics); Interest rate swap; Swap (finance); Econometrics; Derivative (finance); Computer science; Financial economics; Business; Economics; Actuarial science; Finance; Credit reference","score_opus":0.03560623738145733,"score_gpt":0.24871111445401595,"score_spread":0.21310487707255862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232579134","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":[0.5907153,0.00028632078,0.38380286,0.0026799005,0.0006605691,0.001428524,0.00014506801,0.00018897289,0.020092476],"genre_scores_gemma":[0.992682,0.000004399031,0.0040622065,0.00023972106,0.00055959326,0.000051161867,0.000025452822,0.0000567989,0.0023187161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732393,0.000007788056,0.0012135981,0.00070851634,0.00025452033,0.0004916449],"domain_scores_gemma":[0.99768555,0.00025404498,0.00085799687,0.00036987668,0.0006635925,0.00016894162],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045864074,0.00037864983,0.0005728915,0.0005765208,0.00040899633,0.00020520056,0.00064884406,0.0002722526,0.0003259941],"category_scores_gemma":[0.0007826013,0.00036035548,0.00031109172,0.0009497685,0.00012373891,0.00060726976,0.00015435815,0.00030112674,0.00019733669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007086885,0.00021747,0.032051444,0.000057192527,0.00002966963,6.733895e-8,0.0010684376,0.9510439,0.00008870987,0.013609793,0.0008144354,0.0009479833],"study_design_scores_gemma":[0.00092524296,0.00006936874,0.053820062,0.00013690152,0.000029163726,5.2093515e-7,0.00014790632,0.91954684,0.00021323167,0.0050689788,0.019625448,0.0004163437],"about_ca_topic_score_codex":0.00018919724,"about_ca_topic_score_gemma":0.00006288637,"teacher_disagreement_score":0.40196663,"about_ca_system_score_codex":0.00032554092,"about_ca_system_score_gemma":0.00008539132,"threshold_uncertainty_score":0.99988484},"labels":[],"label_agreement":null},{"id":"W4235611500","doi":"10.1109/wsc.2004.1371482","title":"Optimization of Traffic Signal Light Timing Using Simulation","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Traffic control and management","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Traffic signal; Computer science; Signal timing; SIGNAL (programming language); Traffic flow (computer networking); Traffic simulation; Traffic congestion; Traffic congestion reconstruction with Kerner's three-phase theory; Real-time computing; Traffic optimization; Simulation; Floating car data; Network traffic simulation; Transport engineering; Engineering; Network traffic control; Microsimulation; Computer network","score_opus":0.020636456143068513,"score_gpt":0.23489446330297112,"score_spread":0.21425800715990262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235611500","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":[0.687975,0.00023854192,0.304495,0.00025043433,0.00034546872,0.00079906016,0.000009750604,0.0003194204,0.005567307],"genre_scores_gemma":[0.9963004,0.0000033729145,0.0033431475,0.000021097156,0.00012956199,0.0000046861805,0.000002701837,0.000026458592,0.00016855376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988569,0.0000055777405,0.0005036252,0.000171786,0.00026855207,0.00019355079],"domain_scores_gemma":[0.9992669,0.000036737405,0.00020866988,0.00009802658,0.00034969856,0.000039916547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013983353,0.00018228758,0.00023111161,0.00018401357,0.00005734248,0.000045133333,0.00022563378,0.0000847632,0.00016174313],"category_scores_gemma":[0.000026497088,0.0001576534,0.00011090055,0.00027182803,0.000034710938,0.00044386074,0.00003996123,0.00010412545,0.0000037237312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025469897,0.000037037673,0.00008763981,0.00009054692,0.000047540078,3.701877e-8,0.00057487376,0.98647857,0.002344378,0.00011251532,0.00008416335,0.010117259],"study_design_scores_gemma":[0.00057448744,0.000023903014,0.0002649103,0.00016811413,0.00007314029,4.7851483e-7,0.00007861344,0.99561787,0.002175573,0.000030137478,0.0008371755,0.00015561412],"about_ca_topic_score_codex":0.0000018159751,"about_ca_topic_score_gemma":0.0000025470342,"teacher_disagreement_score":0.3083254,"about_ca_system_score_codex":0.000093309965,"about_ca_system_score_gemma":0.000019807474,"threshold_uncertainty_score":0.6428919},"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":"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":"W4245468176","doi":"10.1109/wsc.2004.1371455","title":"Simulation Input Updating Using Bayesian Techniques","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Geotechnical Engineering and Analysis","field":"Engineering","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 Alberta","funders":"","keywords":"Computer science; Bayesian probability; Quality (philosophy); Machine learning; Term (time); Data mining; Artificial intelligence","score_opus":0.014904842650972595,"score_gpt":0.24744083312721007,"score_spread":0.2325359904762375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245468176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25635493,0.0001388734,0.73600364,0.00023320927,0.0001632069,0.000404127,0.000009898853,0.0010424118,0.005649688],"genre_scores_gemma":[0.99065703,0.0000028507534,0.008928909,0.000035204983,0.00018017428,0.0000061580668,0.0000026278042,0.00003733735,0.00014968254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987969,0.000004689649,0.00049099815,0.00020126515,0.0002581763,0.0002480142],"domain_scores_gemma":[0.99928194,0.000053071843,0.00014151387,0.00014767771,0.0003156986,0.00006011698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835555,0.00021915806,0.0002522175,0.00020803364,0.00008064246,0.00007838397,0.00030449682,0.00014487635,0.000087160406],"category_scores_gemma":[0.00013659275,0.00018752707,0.00014506279,0.00046009006,0.000044271466,0.0004209734,0.00005917516,0.0002414171,0.000007064413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034599911,0.00001420002,0.0004794258,0.000053732474,0.000030828367,4.4464404e-8,0.000123723,0.98525244,0.0065634544,0.00015782408,0.000049003014,0.0072718496],"study_design_scores_gemma":[0.0001310032,0.000012144362,0.00019198476,0.000206565,0.000048589216,8.8342256e-7,0.00003906285,0.98031247,0.016939623,0.0002972935,0.001616542,0.0002038158],"about_ca_topic_score_codex":0.000007923118,"about_ca_topic_score_gemma":0.0000013728524,"teacher_disagreement_score":0.7343021,"about_ca_system_score_codex":0.00011768451,"about_ca_system_score_gemma":0.000015346317,"threshold_uncertainty_score":0.76471317},"labels":[],"label_agreement":null},{"id":"W4248809193","doi":"10.1109/wsc.2004.1371459","title":"Decision Tree Module Within Decision Support Simulation System","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","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":"Ain Shams University; University of Alberta; University of Calgary; Natural Sciences and Engineering Research Council of Canada; Arizona State University","keywords":"Decision tree; Computer science; Decision support system; Incremental decision tree; Probabilistic logic; Shortest path problem; Tree (set theory); Decision analysis; Influence diagram; Data mining; Decision tree learning; Machine learning; Artificial intelligence; Theoretical computer science; Mathematics; Statistics; Graph","score_opus":0.05081044682774416,"score_gpt":0.2905316637580207,"score_spread":0.23972121693027654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248809193","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":[0.7944403,0.000079601115,0.17144549,0.000585542,0.0019351371,0.0010810222,0.000021753764,0.00037184617,0.030039264],"genre_scores_gemma":[0.99591255,0.0000015791649,0.001968919,0.00030812202,0.0008927838,0.000012055515,0.00001977024,0.00003847399,0.00084571826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740916,0.000004027195,0.0009350594,0.00051487866,0.0008044282,0.00033245893],"domain_scores_gemma":[0.9970428,0.00011917347,0.00083972124,0.00032993167,0.0016389173,0.000029484174],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057437917,0.00033611865,0.00036297445,0.00040274725,0.00025009105,0.00048938487,0.0009059739,0.000188205,0.0005432565],"category_scores_gemma":[0.0004537574,0.00024732554,0.00016958582,0.0008359397,0.0001041761,0.0032300246,0.00034609443,0.00020991502,0.0004063103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005358318,0.00020745437,0.02313656,0.00035912739,0.000043663607,6.781049e-7,0.00023865081,0.8467498,0.00077347533,0.013488592,0.006204152,0.10826205],"study_design_scores_gemma":[0.00067260483,0.000018692275,0.008307993,0.00073305715,0.000078853904,0.0000028341028,0.00016471186,0.96892214,0.0011853825,0.0033529322,0.016235556,0.00032527326],"about_ca_topic_score_codex":0.0000420759,"about_ca_topic_score_gemma":0.00004848004,"teacher_disagreement_score":0.20147224,"about_ca_system_score_codex":0.00012294335,"about_ca_system_score_gemma":0.000046437854,"threshold_uncertainty_score":0.9999979},"labels":[],"label_agreement":null},{"id":"W4252762891","doi":"10.1109/wsc.2004.1371523","title":"Two-Step 3-Dimensional Sketching Tool for New Product Development","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Augmented Reality Applications","field":"Computer Science","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":"Concordia University","funders":"","keywords":"Sketch; Computer science; Point (geometry); Engineering drawing; Parametric design; CAD; Product design; Parametric statistics; Virtual reality; Conceptual design; Product (mathematics); Tracing; Solid modeling; Computer graphics (images); Human–computer interaction; Engineering; Artificial intelligence; Algorithm; Mathematics","score_opus":0.029448697118302298,"score_gpt":0.2833277852414789,"score_spread":0.2538790881231766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252762891","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":[0.043282326,0.00008116758,0.9452309,0.0072801444,0.00024487407,0.0013851459,0.0000064422893,0.00018643809,0.002302568],"genre_scores_gemma":[0.84195113,5.066065e-7,0.15474209,0.0003526684,0.00021217256,0.000056471195,0.0000045137617,0.000014202922,0.0026662396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981424,0.000008264698,0.00058256125,0.00050534226,0.0004499641,0.00031145263],"domain_scores_gemma":[0.99839,0.0000872415,0.00039635357,0.00030578696,0.0007307218,0.00008989917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040445323,0.0002162976,0.0002137929,0.00012994005,0.00024874802,0.00017223913,0.0011342125,0.00005761104,0.00003642069],"category_scores_gemma":[0.00013473805,0.00017261032,0.00011272088,0.00036424244,0.000055898916,0.00082130556,0.00031537024,0.0001538167,0.000032996926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013413343,0.0006435515,0.0032284495,0.00020905986,0.0002721042,1.5453054e-7,0.006317888,0.4077729,0.015427482,0.19657886,0.0349508,0.33446464],"study_design_scores_gemma":[0.0015295985,0.0000455139,0.0025149449,0.00022878608,0.000034686003,0.000007706835,0.000043623317,0.87664866,0.04574689,0.007969218,0.06477172,0.00045865317],"about_ca_topic_score_codex":0.000011560909,"about_ca_topic_score_gemma":0.000010482348,"teacher_disagreement_score":0.7986688,"about_ca_system_score_codex":0.00015869804,"about_ca_system_score_gemma":0.00037057413,"threshold_uncertainty_score":0.7038845},"labels":[],"label_agreement":null}]}