{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"070e97a67a7b","filters":{"venue":"2007 Winter Simulation Conference"}},"results":[{"id":"W3151311358","doi":"10.1109/wsc.2007.4419831","title":"A simulation model to improve warehouse operations","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Discrete event simulation; Throughput; Warehouse; Operations research; Reliability (semiconductor); Service level; Stock (firearms); Service (business); Work (physics); Business; Simulation; Marketing; Telecommunications; Engineering","authors":[{"name":"Jean Philippe Gagliardi","is_ca":true},{"name":"Jacques Renaud","is_ca":true},{"name":"Ángel Ruiz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03384274779802509,"gpt":0.2955827240630536,"spread":0.2617399762650285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005838,0.0009459276,0.001122405,0.0008393431,0.0006777698,0.00184592,0.001741786,0.001899289,0.008320892],"category_scores_gemma":[0.003886839,0.0006860041,0.00126171,0.001221045,0.0005405369,0.001253664,0.0009762341,0.001403024,0.0008195466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742654,"about_ca_system_score_gemma":0.002259739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02539675,"about_ca_topic_score_gemma":0.01292794,"domain_scores_codex":[0.9994249,0.0002441035,0.00004042842,0.00007251434,0.0001309877,0.00008714593],"domain_scores_gemma":[0.9978772,0.001325735,0.0001748733,0.000127403,0.0003625316,0.0001321496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001825248,0.00001689647,0.0002021345,0.000009047376,0.000007518535,0.00002108625,0.000009018921,0.9965903,0.0001078405,0.002197261,0.0001675251,0.0006531342],"study_design_scores_gemma":[0.00001004768,0.000008142813,0.00003883308,0.00000241243,0.000003227499,0.000003169036,0.00000371867,0.9988539,0.00006094956,0.000613998,0.0003989991,0.000002531201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1601635,0.0006923103,0.7722945,0.001707748,0.0003595071,0.0004746178,0.003338019,0.002039657,0.05893015],"genre_scores_gemma":[0.8740841,0.0006962242,0.109068,0.0001518692,0.00006365406,0.0007021516,0.002114226,0.0001712611,0.01294874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02539675,"threshold_uncertainty_score":0.05049789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230667489","doi":"10.1109/wsc.2007.4419650","title":"Optimizing time warp simulation with reinforcement learning techniques","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Reinforcement learning; Computer science; Benchmark (surveying); Bellman equation; Dynamic programming; Function (biology); Bounded function; State (computer science); Optimal control; Artificial intelligence; Mathematical optimization; Algorithm; Mathematics","authors":[{"name":"Jun Wang","is_ca":true},{"name":"Carl Tropper","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01691587200443344,"gpt":0.2577633236223327,"spread":0.2408474516178992,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257755,0.0007571916,0.0007842148,0.0003733851,0.0003169756,0.0005829859,0.0009426424,0.0007491797,0.001739981],"category_scores_gemma":[0.004328225,0.0004121295,0.0003895936,0.0002861963,0.0009534749,0.0008381802,0.0007582512,0.001175435,0.0001854972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008742844,"about_ca_system_score_gemma":0.001159221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003986011,"about_ca_topic_score_gemma":0.002768383,"domain_scores_codex":[0.9995989,0.0001627479,0.0000212348,0.00006356963,0.0001037692,0.00004974832],"domain_scores_gemma":[0.9978387,0.001603523,0.0001866973,0.0001220585,0.0001779075,0.00007111508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000187983,0.00001310434,0.0001115484,0.000007945337,0.000005254257,0.000009857643,0.000009427477,0.9943743,0.0004157875,0.001408965,0.00003728334,0.003587642],"study_design_scores_gemma":[0.000005633325,0.000008393981,0.000008281966,9.393997e-7,0.00000122773,0.000001630384,0.000001334166,0.9990205,0.0002536377,0.0006523613,0.00004523619,8.882216e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04532871,0.0001057522,0.9518477,0.0001289125,0.00001754858,0.00007328477,0.00001405433,0.0003553265,0.002128778],"genre_scores_gemma":[0.8821888,0.0001017407,0.1161661,0.00004621573,0.0000120676,0.0002040081,0.00002700935,0.00005536232,0.001198828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003986011,"threshold_uncertainty_score":0.00792563,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3142666957","doi":"10.1109/wsc.2007.4419839","title":"Construction noise prediction and barrier optimization using special purpose simulation","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"BIM and Construction Integration","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Noise barrier; Noise (video); Noise control; Plan (archaeology); Computer science; Simulation software; Software; Point (geometry); Noise pollution; Control (management); Simulation modeling; Roadway noise; Systems engineering; Simulation; Industrial engineering; Construction engineering; Transport engineering; Engineering; Noise reduction; Artificial intelligence","authors":[{"name":"Anupama Gannoruwa","is_ca":true},{"name":"Janaka Y. Ruwanpura","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01777994714528297,"gpt":0.2453138755798394,"spread":0.2275339284345565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004541401,0.0007110782,0.0007439258,0.0006103619,0.0004114487,0.0007961857,0.0008565533,0.001030202,0.002293919],"category_scores_gemma":[0.001148902,0.0005305469,0.001018511,0.0006158518,0.0005188113,0.0004475718,0.0006837333,0.0004315607,0.0002758947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006515054,"about_ca_system_score_gemma":0.0009645467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786071,"about_ca_topic_score_gemma":0.01086448,"domain_scores_codex":[0.9996884,0.0001379275,0.00001373461,0.00003257705,0.00008003105,0.00004739721],"domain_scores_gemma":[0.9994451,0.0002904646,0.0000563137,0.0000500013,0.0001178592,0.00004024175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001388344,0.000007391069,0.0003268009,0.000005789147,0.000004480781,0.00001248299,0.00000754405,0.998042,0.0003295299,0.000332003,0.00003462818,0.0008834115],"study_design_scores_gemma":[0.000002762048,0.000006218344,0.00006814262,9.715696e-7,0.000001897458,0.000002699283,0.000003285671,0.999464,0.0002248223,0.0001356702,0.00008814006,0.000001433201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3592922,0.0001248213,0.6209579,0.000134103,0.00005005931,0.00007258914,0.0002601628,0.001377922,0.01773018],"genre_scores_gemma":[0.9655896,0.0001002833,0.03146353,0.00001490266,0.000006469083,0.0000905193,0.0002064685,0.0001056638,0.002422509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01786071,"threshold_uncertainty_score":0.03551352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3149333196","doi":"10.1109/wsc.2007.4419842","title":"Simulation tool for manpower forecast loading and resource leveling","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Scope (computer science); Schedule; Resource (disambiguation); Computer science; Task (project management); Resource allocation; Frame (networking); Operations research; Scale (ratio); Systems engineering; Engineering management; Industrial engineering; Engineering","authors":[{"name":"Mikhail Hanna","is_ca":true},{"name":"Janaka Y. Ruwanpura","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04851112659251253,"gpt":0.3168608447357745,"spread":0.268349718143262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007717888,0.0007574856,0.0008007106,0.000848284,0.0005200843,0.0006964663,0.001415389,0.0008353609,0.008330991],"category_scores_gemma":[0.00276404,0.0006493757,0.0009128685,0.0007811263,0.0004127458,0.0007551137,0.0007069353,0.0008913361,0.001360648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981817,"about_ca_system_score_gemma":0.001192537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004338906,"about_ca_topic_score_gemma":0.00384596,"domain_scores_codex":[0.9995591,0.0001801866,0.00003718871,0.00004398313,0.0001277968,0.00005165357],"domain_scores_gemma":[0.9987137,0.0007805822,0.00007952801,0.0001369761,0.0002158824,0.00007339905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001737437,0.00007599404,0.00197305,0.00009855239,0.00004785079,0.0001027412,0.0001026425,0.9437944,0.004366416,0.01034733,0.005446161,0.03347099],"study_design_scores_gemma":[0.00001704533,0.00001283295,0.00009627733,0.000006918831,0.000007040398,0.00001726189,0.000005393481,0.9931421,0.001337007,0.001190669,0.004161546,0.000005961954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01470715,0.00006290078,0.9685348,0.00008935519,0.00004763779,0.00009549157,0.0004869195,0.009773713,0.006202042],"genre_scores_gemma":[0.4598978,0.0003674595,0.5284209,0.00009853725,0.00004645719,0.0007562164,0.002150371,0.001667813,0.006594403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008330991,"threshold_uncertainty_score":0.02787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3149105485","doi":"10.1109/wsc.2007.4419847","title":"Qualitative simulation of construction performance using fuzzy cognitive maps","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy cognitive map; Computer science; Process (computing); Fuzzy logic; Artificial intelligence; Fuzzy set; Industrial engineering; Machine learning; Engineering; Fuzzy number","authors":[{"name":"Manjula Dissanayake","is_ca":true},{"name":"Simaan AbouRizk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1055461053541458,"gpt":0.3900350706930644,"spread":0.2844889653389186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007296159,0.0005790413,0.0003853035,0.0007386717,0.0005404954,0.001221931,0.0008265509,0.0008829559,0.002127838],"category_scores_gemma":[0.002808692,0.0002303213,0.0006947,0.0005826675,0.001093968,0.0009386613,0.000998244,0.0004900224,0.0001060468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466975,"about_ca_system_score_gemma":0.001127215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138982,"about_ca_topic_score_gemma":0.005707144,"domain_scores_codex":[0.9996837,0.0001356684,0.00001364899,0.0000353268,0.00007973266,0.00005184984],"domain_scores_gemma":[0.9990032,0.0006790937,0.00008767608,0.00005877133,0.000116522,0.00005480447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002711684,0.00001309314,0.0003388163,0.00001228009,0.000008082111,0.00002794341,0.0001324261,0.9873279,0.0004947705,0.01005054,0.00005636509,0.001510718],"study_design_scores_gemma":[0.000006707262,0.00001052456,0.0001234842,0.00000244005,0.000002094014,0.000003233118,0.00002554249,0.9955919,0.0002063158,0.003912821,0.0001094714,0.000005383268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4293864,0.0001159953,0.5513335,0.0003946392,0.00003962813,0.0001190925,0.0002250409,0.0004032967,0.01798231],"genre_scores_gemma":[0.9839519,0.00005333819,0.01522585,0.000009782297,0.000004037057,0.00007374196,0.00003954836,0.000009327027,0.0006325987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02138982,"threshold_uncertainty_score":0.0425306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4235897658","doi":"10.1109/wsc.2007.4419629","title":"Estimating the probability of a rare event over a finite time horizon","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Estimator; Rare events; Mathematics; Event (particle physics); Markov chain; Measure (data warehouse); Bounded function; Zero (linguistics); Applied mathematics; Series (stratigraphy); Variance (accounting); Limit (mathematics); Statistical physics; Statistics; Computer science; Mathematical analysis; Physics","authors":[{"name":"Pieter-Tjerk de Boer","is_ca":false},{"name":"Pierre L’Ecuyer","is_ca":true},{"name":"Gerardo Rubino","is_ca":false},{"name":"Bruno Tuffin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1155164977158002,"gpt":0.3896001398018467,"spread":0.2740836420860464,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007907146,0.0008430082,0.001295417,0.001754001,0.0005385382,0.001174156,0.002661737,0.001711256,0.001168592],"category_scores_gemma":[0.04691495,0.0006174678,0.0007849752,0.000995643,0.002285767,0.00332506,0.001537791,0.00198274,0.0001778664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146484,"about_ca_system_score_gemma":0.0008943872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020422,"about_ca_topic_score_gemma":0.001923523,"domain_scores_codex":[0.9982347,0.0007005546,0.00006999919,0.0003230842,0.0004856644,0.0001859531],"domain_scores_gemma":[0.9637734,0.02938365,0.003418061,0.001899058,0.0009886964,0.000537032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008501601,0.00003586885,0.004338017,0.00006564116,0.00006383298,0.0001806993,0.0001061399,0.9219676,0.001373968,0.06114112,0.0002644817,0.01037764],"study_design_scores_gemma":[0.000006905245,0.00002841857,0.0005005367,0.00001308812,0.000008164769,0.00004641955,0.0000119694,0.9845313,0.0006958084,0.01400429,0.0001361991,0.00001694866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0864163,0.0002830961,0.9117681,0.0002729247,0.00003408913,0.00003572104,0.00004033409,0.0001977061,0.000951793],"genre_scores_gemma":[0.9127206,0.0003116872,0.08561245,0.00009359792,0.00005787932,0.00008375641,0.0001087039,0.00006523902,0.0009460978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007907146,"threshold_uncertainty_score":0.04181755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3147970983","doi":"10.1109/wsc.2007.4419891","title":"A comparison between system dynamics and agent based modeling and opportunities for cross-fertilization","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Point (geometry); Work (physics); Statement (logic); Dynamics (music); Simple (philosophy); System dynamics; Management science; Data science; Artificial intelligence; Epistemology; Engineering; Mathematics; Sociology","authors":[{"name":"Luminita Stemate","is_ca":true},{"name":"Codrin Pasca","is_ca":true},{"name":"Ivan W. Taylor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1783994900962986,"gpt":0.3166754743650869,"spread":0.1382759842687883,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00936361,0.001013108,0.00123914,0.001686226,0.000897577,0.004954785,0.002048949,0.002601748,0.01745386],"category_scores_gemma":[0.01860011,0.0006669661,0.001339823,0.002254949,0.001542274,0.009159162,0.005322199,0.002841141,0.001242797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615365,"about_ca_system_score_gemma":0.001378534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009045675,"about_ca_topic_score_gemma":0.001086814,"domain_scores_codex":[0.9933709,0.004444696,0.000237251,0.0003078078,0.001409113,0.0002303365],"domain_scores_gemma":[0.9831017,0.0139234,0.0006006717,0.001157149,0.0008930824,0.0003241252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000852372,0.00005407136,0.001886517,0.0005646253,0.000090849,0.0002074072,0.0006596153,0.06195712,0.0003196225,0.8412785,0.003112663,0.08978379],"study_design_scores_gemma":[0.00003705348,0.0002447501,0.001503553,0.0009849528,0.0001175327,0.000375292,0.001565779,0.2927435,0.001130645,0.6215324,0.0796911,0.0000735209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03630582,0.02120983,0.7876463,0.02317871,0.0009835333,0.0001177915,0.0001014292,0.0004582744,0.1299983],"genre_scores_gemma":[0.7783983,0.02872537,0.1687905,0.001342356,0.0006114715,0.0007034055,0.0001906755,0.0003178432,0.02092009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01745386,"threshold_uncertainty_score":0.05838895,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4248596645","doi":"10.1109/wsc.2007.4419836","title":"Agent-based simulation for collaborative cranes","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Multi-agent system; Human–computer interaction; Artificial intelligence","authors":[{"name":"Cheng Zhang","is_ca":true},{"name":"Amin Hammad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06817092962262722,"gpt":0.3370553703083626,"spread":0.2688844406857354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008676821,0.0008992806,0.001173553,0.0005807506,0.001295917,0.001801402,0.001882288,0.002093925,0.007092952],"category_scores_gemma":[0.002445155,0.0007098893,0.0009667138,0.0005198251,0.001291614,0.001399218,0.001891705,0.00159231,0.0006646496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564147,"about_ca_system_score_gemma":0.001938649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821687,"about_ca_topic_score_gemma":0.01140971,"domain_scores_codex":[0.9993448,0.0003395751,0.00003634924,0.00007011487,0.0001602529,0.0000489147],"domain_scores_gemma":[0.9987839,0.0007712966,0.00007505411,0.0001097215,0.000147268,0.000112853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003002537,0.00002159747,0.0001803443,0.0000256878,0.00001905703,0.00006257516,0.00006145456,0.9753231,0.0003141333,0.02115584,0.0002920785,0.002514055],"study_design_scores_gemma":[0.00002415246,0.000007921887,0.00002348761,0.000005822229,0.000003541813,0.000007643395,0.00001169026,0.9926695,0.0001215875,0.005276307,0.001843863,0.000004641669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03726967,0.0005086554,0.9318392,0.0006177177,0.0001651468,0.0003252999,0.0002406849,0.001294907,0.02773877],"genre_scores_gemma":[0.7112478,0.0008413832,0.2744588,0.0001142549,0.00005646525,0.001094634,0.000361041,0.0002083716,0.01161721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01821687,"threshold_uncertainty_score":0.03622168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3142739951","doi":"10.1109/wsc.2007.4419782","title":"“Pull” replenishment performance as a function of demand rates and setup times under optimal settings","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Reorder point; Computer science; Kanban; Point (geometry); Nonlinear system; Reduction (mathematics); Mathematical optimization; Real-time computing; Simulation; Control theory (sociology); Mathematics; Control (management); Economic order quantity; Supply chain","authors":[{"name":"S. T. Enns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02119642170688617,"gpt":0.272760010674087,"spread":0.2515635889672008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893343,0.0005583314,0.0007639432,0.000638056,0.0002389464,0.0009422433,0.0005282009,0.0007654378,0.002873316],"category_scores_gemma":[0.00699336,0.0003476433,0.0003883494,0.00069419,0.0006536887,0.0008104063,0.0004346856,0.0004839074,0.0003986012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009557984,"about_ca_system_score_gemma":0.0006404708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005755115,"about_ca_topic_score_gemma":0.003424645,"domain_scores_codex":[0.9991329,0.0003454374,0.00003339546,0.00008739409,0.0002149237,0.0001860801],"domain_scores_gemma":[0.9961887,0.002835944,0.0004236453,0.000190192,0.0002891013,0.00007256187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004420953,0.0000932095,0.0007618236,0.000060628,0.00001104958,0.00005936684,0.00002958512,0.9869582,0.00353599,0.0009337538,0.000378146,0.006736171],"study_design_scores_gemma":[0.00004069586,0.0002476023,0.00118822,0.00001108388,0.000008268125,0.00002145178,0.00004941092,0.9897545,0.00771848,0.0008061174,0.0001312021,0.00002291368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348841,0.0002382424,0.05504037,0.0002831091,0.00001945002,0.00005377626,0.0003582597,0.0004289341,0.008693747],"genre_scores_gemma":[0.9914995,0.00007918283,0.00751968,0.00001519744,0.000002305025,0.0000333241,0.00007802424,0.0000265817,0.0007461474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005755115,"threshold_uncertainty_score":0.01144326,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3144893049","doi":"10.1109/wsc.2007.4419841","title":"Special purpose simulation template for workflow analysis in construction","year":2007,"lang":"en","type":"article","venue":"2007 Winter Simulation Conference","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Alberta","keywords":"Workflow; Computer science; Software engineering; Crew; Process (computing); Software; Workflow technology; Component (thermodynamics); Systems engineering; Database; Programming language; Engineering","authors":[{"name":"Sivakumar Palaniappan","is_ca":false},{"name":"Kenneth Walsh","is_ca":false},{"name":"Anil Sawhney","is_ca":false},{"name":"Howard H. Bashford","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02209389405095129,"gpt":0.2739410176458618,"spread":0.2518471235949105,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574703,0.0007909167,0.0006255595,0.0007013936,0.0004813344,0.00108873,0.001755712,0.001070346,0.01089122],"category_scores_gemma":[0.004762384,0.0006257712,0.001393148,0.0006073965,0.0005858339,0.0009111259,0.001019498,0.001142459,0.003083115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008817469,"about_ca_system_score_gemma":0.001916232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692971,"about_ca_topic_score_gemma":0.001597712,"domain_scores_codex":[0.9988875,0.0003292063,0.0001556003,0.0001166059,0.0004396794,0.00007146232],"domain_scores_gemma":[0.9973229,0.0009702379,0.0001479045,0.0009367742,0.0005408443,0.00008146387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006338494,0.0004750892,0.005342196,0.0007816355,0.0001445313,0.00146711,0.001377621,0.5288319,0.06062248,0.2046079,0.03342026,0.1622954],"study_design_scores_gemma":[0.0000616023,0.00008380398,0.0004776765,0.00007694907,0.00003168603,0.0003938029,0.00005242229,0.8481337,0.03615486,0.01461868,0.09986982,0.00004502822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005559839,0.0000220507,0.9788268,0.00008157884,0.00007415296,0.0004396773,0.0005836213,0.007639339,0.006772895],"genre_scores_gemma":[0.1197603,0.0001634507,0.8627949,0.0001508969,0.00003366055,0.002207135,0.003734076,0.002544257,0.008611314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089122,"threshold_uncertainty_score":0.03643477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}