{"meta":{"query_hash":"51d560bebe17","filters":{"venue":"Statistics Optimization & Information Computing"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/51d560bebe17","api":"https://metacan.xera.ac/api/v1/cohort?venue=Statistics+Optimization+%26+Information+Computing"},"results":[{"id":"W2886710868","doi":"10.19139/soic.v6i3.573","title":"Proportional Odds under Conway-Maxwell-Poisson Cure Rate Model and Associated Likelihood Inference","year":2018,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","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":"McMaster University","funders":"","keywords":"Censoring (clinical trials); Weibull distribution; Poisson distribution; Inference; Statistics; Mathematics; Logistic regression; Odds; Estimator; Poisson regression; Applied mathematics; Econometrics; Computer science; Artificial intelligence; Medicine; Population","score_opus":0.04156561893067718,"score_gpt":0.3439772174284305,"score_spread":0.30241159849775334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886710868","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":[0.0009119548,0.0000030208619,0.9939696,0.0005511105,0.00011272095,0.0004598988,0.0013139856,0.0002738325,0.0024038593],"genre_scores_gemma":[0.58648723,0.0000117489035,0.4091304,0.0005794375,0.000047918547,0.000019879879,0.0036359355,0.000017299813,0.000070159476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796003,0.00008839141,0.0009747776,0.00022831996,0.00040865564,0.00033981507],"domain_scores_gemma":[0.99645126,0.0007750016,0.0007096241,0.00020590161,0.0016745821,0.00018366044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059321587,0.00024315112,0.00024919267,0.00014904185,0.000679296,0.00028992663,0.00014272834,0.00014236565,0.00035447284],"category_scores_gemma":[0.0026440881,0.00025516754,0.000031801334,0.00042811234,0.00025447118,0.0006660608,0.000095623654,0.00020244748,0.00006516895],"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":[0.000009541328,0.000057836918,0.000043792617,0.00004241085,0.000024748822,1.361266e-7,0.0004418733,0.22109771,0.000006598899,0.7706532,0.005228426,0.0023937551],"study_design_scores_gemma":[0.00056726416,0.000044760312,0.0008579462,0.000046658428,0.000042403703,0.0000025159245,0.00012493461,0.86721516,0.000026609505,0.13063528,0.0001864578,0.00024999824],"about_ca_topic_score_codex":0.0000068970385,"about_ca_topic_score_gemma":0.0000072817734,"teacher_disagreement_score":0.64611745,"about_ca_system_score_codex":0.0001299599,"about_ca_system_score_gemma":0.00022030568,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W3007645312","doi":"10.19139/soic-2310-5070-863","title":"Integral stochastic ordering of the multivariate normal mean-variance and the skew-normal scale-shape mixture models","year":2020,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","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":"McMaster University","funders":"","keywords":"Kurtosis; Mathematics; Skewness; Skew; Multivariate normal distribution; Univariate; Normal distribution; Stochastic ordering; Bivariate analysis; Multivariate statistics; Variance-gamma distribution; Skew normal distribution; Applied mathematics; Statistics; Computer science; Asymptotic distribution","score_opus":0.0287477710404654,"score_gpt":0.2792570264791077,"score_spread":0.25050925543864233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007645312","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":[0.000563765,0.000008279226,0.9957213,0.0014425064,0.00010838418,0.00065329485,0.0007349168,0.00009234847,0.00067520345],"genre_scores_gemma":[0.5870252,0.000003701629,0.4120831,0.000627299,0.000037996328,0.000017270771,0.0001849994,0.000012189543,0.000008260531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981198,0.00013037612,0.0009499318,0.00015978447,0.00041511795,0.0002249983],"domain_scores_gemma":[0.99724084,0.0010838482,0.00072310993,0.00022620296,0.00061727734,0.00010871722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038794102,0.00020712461,0.0002798344,0.00004565758,0.00053541164,0.00015755287,0.00029720788,0.0001042049,0.00010438783],"category_scores_gemma":[0.0020270254,0.0001458736,0.000058501522,0.00047881945,0.00030028448,0.00052785757,0.00020535394,0.0003816951,0.000008115578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031590826,0.000011162554,0.00000519736,0.00007193243,0.000015502372,3.9688356e-8,0.0029409146,0.52980983,0.0000023526943,0.46423715,0.00030745653,0.0025668538],"study_design_scores_gemma":[0.0013092126,0.000015069812,0.0001957881,0.000057618137,0.00006429314,0.0000044639823,0.00045211104,0.9752881,0.000020319132,0.022396144,0.00004083153,0.00015605983],"about_ca_topic_score_codex":0.000036625384,"about_ca_topic_score_gemma":0.0000045271236,"teacher_disagreement_score":0.5864614,"about_ca_system_score_codex":0.0000370269,"about_ca_system_score_gemma":0.00009094121,"threshold_uncertainty_score":0.59485525},"labels":[],"label_agreement":null},{"id":"W3032905675","doi":"10.19139/soic-2310-5070-506","title":"Applying Multivariate and Univariate Analysis of Variance on Socioeconomic, Health, and Security Variables in Jordan","year":2020,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","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; University of Guelph-Humber","funders":"","keywords":"Univariate; Multivariate statistics; Socioeconomic status; Multivariate analysis; Multivariate analysis of variance; Unemployment; Demography; Statistics; Geography; Descriptive statistics; Variance (accounting); Population; Mathematics; Economics; Economic growth; Sociology","score_opus":0.06453785820404344,"score_gpt":0.3825543744520991,"score_spread":0.31801651624805566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032905675","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":[0.01643541,0.000034375877,0.97857636,0.001941931,0.00017171164,0.0011639397,0.00081044884,0.000059915237,0.00080593093],"genre_scores_gemma":[0.83464664,0.0001461593,0.15956245,0.004663444,0.0000407927,0.000025227693,0.00090209575,0.000010484227,0.0000027360973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997873,0.00031954015,0.0012104651,0.00018286028,0.00014163618,0.00027247114],"domain_scores_gemma":[0.99756306,0.0009873824,0.0009566445,0.000109021414,0.00019149664,0.00019241856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075291825,0.00013609561,0.00042772933,0.00037750366,0.00067000237,0.000031503267,0.00007575152,0.00011501173,0.00008862678],"category_scores_gemma":[0.0006335511,0.00015882439,0.00002131409,0.0005469465,0.00004740311,0.00041615596,0.00010680393,0.00036194423,0.000007597261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005702573,0.00001607491,0.010502986,0.0005880209,0.000074963566,1.507199e-7,0.047578372,0.7690877,2.7656145e-7,0.17046987,0.00015709111,0.001467514],"study_design_scores_gemma":[0.00091463636,0.000065681415,0.010971551,0.00009537631,0.000046137262,9.8826284e-8,0.004121511,0.981992,2.199172e-7,0.0011532686,0.0005195104,0.00012000485],"about_ca_topic_score_codex":0.00076214946,"about_ca_topic_score_gemma":0.00008257822,"teacher_disagreement_score":0.8190139,"about_ca_system_score_codex":0.00011088069,"about_ca_system_score_gemma":0.00024428658,"threshold_uncertainty_score":0.64766705},"labels":[],"label_agreement":null},{"id":"W4408482362","doi":"10.19139/soic-2310-5070-2259","title":"Abnormal Behavior Detection in Surveillance Systems Using a Hybrid EfficientNet-Transformer Model","year":2025,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","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":"Transformer; Computer science; Engineering; Electrical engineering","score_opus":0.009189233084896655,"score_gpt":0.2591130718710099,"score_spread":0.24992383878611324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408482362","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":[0.0032268013,0.000012506064,0.99460584,0.000024738401,0.00030609677,0.0006378014,0.000059935144,0.0003137132,0.000812559],"genre_scores_gemma":[0.63780403,0.000009337044,0.36198896,0.00007021706,0.000010006606,0.000037472524,0.000057878155,0.000005161804,0.000016936496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984306,0.000050355116,0.0007960968,0.00021343713,0.00024038643,0.00026912865],"domain_scores_gemma":[0.9989075,0.00007462235,0.00030074693,0.00027904444,0.00038972916,0.000048336184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042008833,0.00016418776,0.00017677165,0.0005351033,0.00036993425,0.00039459404,0.00031648306,0.00007169244,0.0000030105487],"category_scores_gemma":[0.000044946275,0.00019061223,0.000034770557,0.0010052039,0.000032038097,0.001115103,0.0000740504,0.00017279855,0.0000058857186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032814035,0.000023225135,0.00015631101,0.000033193814,0.0000035448395,3.1247615e-7,0.00012995646,0.9601209,0.000037172318,0.022304723,0.00004226304,0.017145086],"study_design_scores_gemma":[0.00029257013,0.000016487933,0.0003388578,0.00003234467,0.0000061043665,0.0000094189345,0.000041674204,0.9983327,0.00045217844,0.00014217281,0.0001559537,0.00017957494],"about_ca_topic_score_codex":0.00009509388,"about_ca_topic_score_gemma":0.000008249163,"teacher_disagreement_score":0.6345772,"about_ca_system_score_codex":0.00022236681,"about_ca_system_score_gemma":0.00013845622,"threshold_uncertainty_score":0.77729416},"labels":[],"label_agreement":null},{"id":"W4412020141","doi":"10.19139/soic-2310-5070-2521","title":"A Hybrid Approach of Long Short Term Memory and Transformer Models for Speech Emotion Recognition","year":2025,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Speech Recognition and Synthesis","field":"Computer Science","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":"Speech recognition; Term (time); Transformer; Long short term memory; Computer science; Short-term memory; Cognitive psychology; Natural language processing; Psychology; Artificial intelligence; Cognition; Engineering; Artificial neural network; Working memory; Electrical engineering; Recurrent neural network; Neuroscience","score_opus":0.02329019575944726,"score_gpt":0.2514189199685227,"score_spread":0.22812872420907546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412020141","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":[0.0014811441,0.00001114817,0.9912814,0.000060245115,0.00019965303,0.00065794325,0.0001521647,0.000112971116,0.00604333],"genre_scores_gemma":[0.1304319,0.00003801594,0.86863244,0.00016707237,0.000016802429,0.000019196721,0.00066723785,0.0000063761254,0.000020943336],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986487,0.000046695695,0.0007009956,0.00019410801,0.00022539515,0.0001840738],"domain_scores_gemma":[0.99864185,0.00023671378,0.00022186081,0.00016590848,0.0006818539,0.000051808194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004961538,0.00015019455,0.00022137657,0.00041013613,0.00021634808,0.00021361571,0.0001849029,0.00006535298,0.00000922121],"category_scores_gemma":[0.00013838036,0.00016423065,0.000049397942,0.00029623904,0.000044621418,0.0016529309,0.000040487637,0.000080538965,0.0000018699108],"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":[0.000014346483,0.000034947338,0.00001752419,0.00029087806,0.000026991072,2.854822e-7,0.00061116274,0.16053699,0.000008512582,0.008529663,0.00021877771,0.82970995],"study_design_scores_gemma":[0.0004971173,0.000031986627,0.00011266107,0.00008859535,0.000030240513,0.000016738373,0.00014264569,0.9919602,0.0022339346,0.004710632,0.000014352238,0.00016088226],"about_ca_topic_score_codex":0.000005455964,"about_ca_topic_score_gemma":6.192671e-7,"teacher_disagreement_score":0.8314232,"about_ca_system_score_codex":0.000045203542,"about_ca_system_score_gemma":0.000082757964,"threshold_uncertainty_score":0.66971314},"labels":[],"label_agreement":null},{"id":"W4413001899","doi":"10.19139/soic-2310-5070-2367","title":"Optimizing cell load regulation capability in dynamic cell manufacturing systems","year":2025,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","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":"Laurentian University","funders":"","keywords":"Cellular manufacturing; Computer science; Engineering; Manufacturing engineering","score_opus":0.003772466434183708,"score_gpt":0.2071512032245166,"score_spread":0.2033787367903329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413001899","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":[0.0018259354,0.00010305591,0.9844452,0.000012921139,0.00095484994,0.0005286576,0.00007212994,0.0005006467,0.01155661],"genre_scores_gemma":[0.620044,0.00006996111,0.37925622,0.000026884001,0.000016194848,0.000012589605,0.00048010013,0.00001986091,0.00007419458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797463,0.0000577672,0.0010526889,0.00022636919,0.00029867733,0.00038983885],"domain_scores_gemma":[0.99885976,0.00023403055,0.00026245535,0.00030542922,0.00027193554,0.0000663795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004006015,0.000300194,0.000292182,0.00047421435,0.00022373756,0.00026787297,0.0001831456,0.00016645694,0.000023101162],"category_scores_gemma":[0.000113720926,0.0003661397,0.00003587667,0.0003937862,0.000040566752,0.0008798222,0.0000671665,0.00030853,0.000018171064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009674433,0.000018133134,0.000038319984,0.00062637456,0.00000731114,5.652227e-7,0.0006501555,0.9943515,0.00001334376,0.0006746207,0.0001868045,0.0034232026],"study_design_scores_gemma":[0.0007270908,0.000011658196,0.00036791636,0.00010534344,0.000017424542,8.916899e-7,0.00034285092,0.9964218,0.0010537574,0.00032733224,0.00030554534,0.00031834622],"about_ca_topic_score_codex":0.00004999044,"about_ca_topic_score_gemma":0.000009965567,"teacher_disagreement_score":0.61821806,"about_ca_system_score_codex":0.00086914806,"about_ca_system_score_gemma":0.00009156165,"threshold_uncertainty_score":0.99987906},"labels":[],"label_agreement":null},{"id":"W4413001992","doi":"10.19139/soic-2310-5070-2319","title":"Improving Heart Disease Prediction Accuracy through Machine Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","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":"Machine learning; Computer science; Artificial intelligence; Algorithm","score_opus":0.04746319776124497,"score_gpt":0.4133984807299549,"score_spread":0.3659352829687099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413001992","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":[0.0005010981,0.000062230436,0.99237454,0.0011097098,0.001900152,0.0010962577,0.00040119753,0.00049087236,0.0020639296],"genre_scores_gemma":[0.29397708,0.00013146484,0.6930562,0.0067596943,0.0004978273,0.000120274795,0.004843036,0.000047050202,0.0005673496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969664,0.00041066823,0.001537909,0.00022994768,0.00035849138,0.00049653905],"domain_scores_gemma":[0.9960985,0.0015365352,0.0007501401,0.0002565061,0.0012212148,0.00013710633],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007925451,0.000208841,0.00023630705,0.00024397137,0.0026342408,0.00010459824,0.00017047484,0.00015598517,0.00026713326],"category_scores_gemma":[0.005460855,0.00022692453,0.000039913564,0.0006124977,0.00005887488,0.001426915,0.00019825202,0.0008261508,0.0001809742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048157497,0.000016673945,0.021334184,0.00056943734,0.000011862001,4.8005217e-7,0.0038755112,0.9233823,0.0000019817894,0.015891178,0.0032265964,0.03164168],"study_design_scores_gemma":[0.00025851253,0.000030244611,0.0012092364,0.00027897552,0.000025254487,3.7528005e-7,0.0023670485,0.98412764,0.00001096703,0.001310231,0.010222542,0.00015896748],"about_ca_topic_score_codex":0.0009354718,"about_ca_topic_score_gemma":0.000028566468,"teacher_disagreement_score":0.29931834,"about_ca_system_score_codex":0.00036266912,"about_ca_system_score_gemma":0.0006601325,"threshold_uncertainty_score":0.9986642},"labels":[],"label_agreement":null},{"id":"W4415702155","doi":"10.19139/soic-2310-5070-2916","title":"Vehicle Routing Problem with Synchronization and Scheduling Constraints of support vehicles","year":2025,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Vehicle Routing Optimization Methods","field":"Engineering","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":"Group for Research in Decision Analysis","funders":"","keywords":"Scheduling (production processes); Vehicle routing problem; Robustness (evolution); Synchronization (alternating current); Flow network; Job shop scheduling; Computation; Linear programming","score_opus":0.005838467422967215,"score_gpt":0.23433599663862803,"score_spread":0.22849752921566083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415702155","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":[0.0039840974,0.000019680398,0.9910806,0.000034847377,0.000116929616,0.0003308722,0.000053756485,0.0003232591,0.0040559815],"genre_scores_gemma":[0.4630386,0.000018259958,0.53672063,0.00004410934,0.000009580361,0.0000030475337,0.00014535242,0.000013449353,0.0000069992157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849766,0.000060226943,0.00082827127,0.00014089825,0.00022769399,0.00024523566],"domain_scores_gemma":[0.99866676,0.0002576769,0.00030168542,0.00014926137,0.00056549616,0.000059136128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005336359,0.00019620369,0.0002508691,0.00031213893,0.00021435508,0.00015771485,0.000107000364,0.00009672704,0.000031417894],"category_scores_gemma":[0.00023372527,0.0002147691,0.00001737623,0.0006795154,0.00013805332,0.0006883657,0.000058567402,0.00016450722,0.0000026605203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007536713,0.000007420001,0.0023218535,0.0003410544,0.00004135264,2.749719e-7,0.0007761109,0.9313717,0.000028109711,0.011138177,0.00005696865,0.053909454],"study_design_scores_gemma":[0.0007263146,0.000033440545,0.00054189016,0.00022931858,0.000037445454,0.0000048323423,0.00043666747,0.9971906,0.00044454326,0.00011907018,0.00003972145,0.00019613202],"about_ca_topic_score_codex":0.0000052884884,"about_ca_topic_score_gemma":9.657424e-7,"teacher_disagreement_score":0.45905447,"about_ca_system_score_codex":0.000083157836,"about_ca_system_score_gemma":0.00012352808,"threshold_uncertainty_score":0.87580293},"labels":[],"label_agreement":null}]}