{"meta":{"query_hash":"d779732ec153","filters":{"venue":"IISE Transactions"},"cohort_total":16,"direct_labels_cover":0,"predictions_cover":16,"exported":16,"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/d779732ec153","api":"https://metacan.xera.ac/api/v1/cohort?venue=IISE+Transactions"},"results":[{"id":"W2523980967","doi":"10.1080/0740817x.2016.1237060","title":"Selling through Priceline? On the impact of name-your-own-price in competitive market","year":2016,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"Concordia University","funders":"","keywords":"Stylized fact; Cannibalization; Profit (economics); Bidding; Purchasing; Microeconomics; Channel (broadcasting); Business; Pricing strategies; Industrial organization; Economics; Commerce; Marketing; Computer science; Telecommunications","score_opus":0.03387132478874851,"score_gpt":0.26022816560705975,"score_spread":0.22635684081831123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523980967","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":[0.38312504,0.00014809148,0.105149426,0.012879482,0.00094458624,0.0016117317,0.000062309686,0.00026094905,0.49581838],"genre_scores_gemma":[0.99750835,0.000083443716,0.00008617009,0.0005094982,0.00018152996,0.000040960567,0.0000027961485,0.000021728763,0.0015655232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990095,0.000028430686,0.00027870212,0.0002171647,0.00020794074,0.00025827048],"domain_scores_gemma":[0.99931806,0.00019009475,0.0001315638,0.00027096854,0.00007888289,0.000010422066],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000327344,0.00017121466,0.000175067,0.0001838317,0.00013004409,0.000050277566,0.00022632685,0.000043284756,0.007094822],"category_scores_gemma":[0.000029898805,0.00009656637,0.00018545646,0.00045507617,0.0000757129,0.000573902,0.000012870579,0.00012611515,0.00022579085],"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":[0.004450422,0.012616085,0.06244375,0.0017775841,0.0037089945,0.00020184107,0.01051543,0.05521562,0.02224557,0.5253388,0.15239215,0.14909375],"study_design_scores_gemma":[0.010664745,0.00044513756,0.12212212,0.0029597867,0.00060726557,0.000009144237,0.011050178,0.045364413,0.0047101784,0.04005083,0.7591954,0.0028208443],"about_ca_topic_score_codex":0.0007655798,"about_ca_topic_score_gemma":0.00010975737,"teacher_disagreement_score":0.6143833,"about_ca_system_score_codex":0.000092932576,"about_ca_system_score_gemma":0.000018886798,"threshold_uncertainty_score":0.9938128},"labels":[],"label_agreement":null},{"id":"W2842663445","doi":"10.1080/24725854.2018.1490045","title":"Joint capacity, inventory, and demand allocation decisions in manufacturing systems","year":2018,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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 Waterloo","funders":"","keywords":"Joint (building); On demand; Operations research; Operations management; Computer science; Business; Economics; Engineering; Commerce; Civil engineering","score_opus":0.04672074040561096,"score_gpt":0.22897565582835477,"score_spread":0.1822549154227438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2842663445","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":[0.9310239,0.0001266692,0.04759751,0.001121706,0.0014626097,0.0006527885,0.0000032398834,0.00018222809,0.017829364],"genre_scores_gemma":[0.99842703,0.00004911222,0.00009391452,0.0004029798,0.00045119182,0.0000651942,0.0000064225374,0.000020090312,0.00048404923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989821,0.000016576,0.00029165397,0.0002748589,0.00019407744,0.000240751],"domain_scores_gemma":[0.9996105,0.00002129487,0.00007645644,0.00021207404,0.000054166485,0.00002550543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033157945,0.00014975695,0.00015573693,0.0004798701,0.00028025772,0.00023686704,0.00011158993,0.000059961836,0.00025549455],"category_scores_gemma":[0.00001695365,0.00014850222,0.000047790512,0.00022995916,0.00010069628,0.0008095993,0.000022837201,0.00011722136,0.0001942298],"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":[0.0010492551,0.007587823,0.08518553,0.0061760694,0.0019996215,0.00032254626,0.019096578,0.059372198,0.036932044,0.35770354,0.09486858,0.32970622],"study_design_scores_gemma":[0.005184227,0.00013176222,0.09766167,0.0012595609,0.0005014509,0.00003740095,0.0065083057,0.26023355,0.006326922,0.016090328,0.6039515,0.0021133006],"about_ca_topic_score_codex":0.0015031709,"about_ca_topic_score_gemma":0.0017997284,"teacher_disagreement_score":0.5090829,"about_ca_system_score_codex":0.00006438779,"about_ca_system_score_gemma":0.000008405945,"threshold_uncertainty_score":0.6055745},"labels":[],"label_agreement":null},{"id":"W2891392030","doi":"10.1080/24725854.2018.1519744","title":"Integrated design of emergency shelter and medical networks considering diurnal population shifts in urban areas","year":2018,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","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":"York University","funders":"National Natural Science Foundation of China","keywords":"Solver; Population; Benders' decomposition; Decomposition; Scale (ratio); Integer programming; Computer science; Network planning and design; Operations research; Mathematical optimization; Simulation; Geography; Engineering; Mathematics; Algorithm; Telecommunications; Medicine; Environmental health; Cartography","score_opus":0.03645776037515437,"score_gpt":0.2530371039577263,"score_spread":0.21657934358257191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891392030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30389044,0.00006626473,0.6929861,0.00073181366,0.00095341564,0.00030266534,0.0000018229862,0.00007990177,0.0009876167],"genre_scores_gemma":[0.99922276,0.00006714093,0.0002587556,0.0001552166,0.0001735105,0.000017740724,0.00001386493,0.00001023556,0.00008078573],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905014,0.000022530587,0.00040053375,0.0001835273,0.00017570036,0.00016754647],"domain_scores_gemma":[0.9996957,0.000014513177,0.000049820435,0.00012073645,0.000096018906,0.00002316723],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003432169,0.00011341233,0.00013848282,0.0002439974,0.00011774264,0.000028413799,0.000086008535,0.00006875442,0.004144849],"category_scores_gemma":[0.000048577833,0.000109657885,0.000038820224,0.0004684513,0.000057030433,0.0004735349,0.000011242197,0.00012460542,0.000030026607],"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":[0.0011252197,0.0024508839,0.4652558,0.001322095,0.000634722,0.000046923484,0.0035478112,0.22385357,0.001095431,0.027823757,0.014850971,0.2579928],"study_design_scores_gemma":[0.0006170824,0.000021712121,0.16414778,0.00012780733,0.00007421576,9.579859e-7,0.00028497368,0.8297702,0.000020079862,0.0011946416,0.0034844514,0.00025606563],"about_ca_topic_score_codex":0.0027659724,"about_ca_topic_score_gemma":0.0058250376,"teacher_disagreement_score":0.6953323,"about_ca_system_score_codex":0.000019815574,"about_ca_system_score_gemma":0.000012507408,"threshold_uncertainty_score":0.9967655},"labels":[],"label_agreement":null},{"id":"W2907244310","doi":"10.1080/24725854.2018.1552820","title":"Integrated order allocation and order routing problem for e-order fulfillment","year":2019,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":30,"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":"Shanghai Education Development Foundation; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Order (exchange); Solver; Computer science; Order fulfillment; Mathematical optimization; Routing (electronic design automation); Integer programming; Heuristic; Benchmarking; Quality (philosophy); Operations research; Supply chain; Engineering; Mathematics; Economics; Business; Marketing; Algorithm; Artificial intelligence; Computer network","score_opus":0.0124421512583515,"score_gpt":0.24792089944327028,"score_spread":0.2354787481849188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907244310","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":[0.022246705,0.00006041286,0.9745751,0.0003228685,0.00024942978,0.0007617658,0.000019512823,0.0004561112,0.0013081016],"genre_scores_gemma":[0.4975543,0.000045987093,0.5008608,0.00005455978,0.000027453689,0.00015574563,0.00003342699,0.00006763072,0.0012000585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991073,0.000036476376,0.00027333022,0.00022796083,0.00010569217,0.000249238],"domain_scores_gemma":[0.9993609,0.0001108452,0.000034002125,0.00015126949,0.00027421853,0.0000687377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024398474,0.0001719968,0.00016923925,0.00010818167,0.00012475818,0.000058481004,0.00006779598,0.00010884006,0.00029131037],"category_scores_gemma":[0.000029171473,0.00017615293,0.000036299258,0.00055873435,0.000019187359,0.00020406595,0.0000030433926,0.00016812034,0.000024707502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013522788,0.000037393922,0.00012411895,0.00011065435,0.00008197626,1.5919082e-7,0.00079279835,0.9558523,0.009760336,0.00034014203,0.00007531691,0.032811258],"study_design_scores_gemma":[0.0008009517,0.000039740644,0.00017018763,0.00005169882,0.000062105246,0.0000062688646,0.0003314491,0.9891403,0.003243238,0.000088732275,0.0057995063,0.0002658535],"about_ca_topic_score_codex":0.000027835458,"about_ca_topic_score_gemma":0.000034992845,"teacher_disagreement_score":0.47530758,"about_ca_system_score_codex":0.00007747189,"about_ca_system_score_gemma":0.000047015164,"threshold_uncertainty_score":0.7183308},"labels":[],"label_agreement":null},{"id":"W3108278835","doi":"10.1080/24725854.2020.1836434","title":"Optimal structure screening for large-scale multi-state series-parallel systems based on structure ordinal optimization","year":2020,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Reliability and Maintenance 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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Ordinal optimization; Reliability (semiconductor); Computer science; Mathematical optimization; Series (stratigraphy); Complex system; Fuzzy logic; Process (computing); State (computer science); Constraint (computer-aided design); Algorithm; Ordinal data; Mathematics; Artificial intelligence; Machine learning","score_opus":0.013627730461462189,"score_gpt":0.21727158859914067,"score_spread":0.2036438581376785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108278835","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":[0.0020800948,0.00004096396,0.9943474,0.0003628918,0.0004848211,0.00079117704,0.0014061283,0.00045401225,0.000032545668],"genre_scores_gemma":[0.5792388,0.00002377929,0.41994658,0.00010717766,0.000105330604,0.00007458686,0.00031768912,0.000072932766,0.00011318819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988833,0.000030540145,0.00028901568,0.0003093936,0.00015813904,0.00032957608],"domain_scores_gemma":[0.9994155,0.00003472861,0.000046035013,0.0001915328,0.00015741127,0.00015479764],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000052435356,0.00025026617,0.0002451442,0.00007569628,0.00023866937,0.00008822667,0.00011941234,0.0001537959,0.00025491102],"category_scores_gemma":[0.000023338986,0.0002503655,0.00011691152,0.00027971942,0.000024227405,0.00035531365,0.0000024252604,0.00026897245,0.000003018372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002160494,0.000022692835,0.000010075901,0.00019074349,0.000035755787,0.0000011830103,0.0004425429,0.9979191,0.00064605556,0.000011519273,0.00023558052,0.00026872617],"study_design_scores_gemma":[0.0013094309,0.000121167504,0.00003213577,0.000044402528,0.00005572707,0.0000033913445,0.00023699776,0.99532,0.0008085224,0.0000045689394,0.0017996556,0.00026396522],"about_ca_topic_score_codex":0.0000055002233,"about_ca_topic_score_gemma":0.00003475284,"teacher_disagreement_score":0.57715863,"about_ca_system_score_codex":0.00006341553,"about_ca_system_score_gemma":0.000029694293,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W3171281294","doi":"10.1080/24725854.2021.1938299","title":"Optimal Inventory Management with Buy-One-Give-One (BOGO) Promotion","year":2021,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"Newsvendor model; Profitability index; Profit (economics); Computer science; Business; Economics; Microeconomics; Marketing; Supply chain; Finance","score_opus":0.031413781127772385,"score_gpt":0.21338145774226347,"score_spread":0.1819676766144911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171281294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21186614,0.00041501367,0.39440352,0.013430698,0.0023006503,0.0025954307,0.000024465617,0.0015902618,0.37337384],"genre_scores_gemma":[0.97797644,0.00009793623,0.003900132,0.001545122,0.00063471124,0.00030293758,0.00013868196,0.00007955541,0.0153244855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981843,0.000023078264,0.00031546294,0.0005328623,0.0005135732,0.00043069042],"domain_scores_gemma":[0.99918836,0.0000100799525,0.00011870917,0.00046282055,0.00017863543,0.00004137026],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019706256,0.00026863907,0.00023866346,0.00033715085,0.00039574513,0.00031466145,0.00022014191,0.00006998356,0.0046586557],"category_scores_gemma":[0.0000048063844,0.00028216894,0.00014651979,0.00080741954,0.00008698063,0.0011894578,0.00004353334,0.00020525581,0.0005990701],"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":[0.0021810804,0.03971503,0.014800299,0.015856642,0.011743078,0.003287462,0.0036599801,0.101764,0.012283867,0.42162043,0.06418982,0.3088983],"study_design_scores_gemma":[0.00995764,0.00028781468,0.02228866,0.0013197549,0.004018094,0.000049609207,0.00827725,0.028736394,0.0052310256,0.0050926483,0.91142446,0.003316641],"about_ca_topic_score_codex":0.00010657474,"about_ca_topic_score_gemma":0.00031424436,"teacher_disagreement_score":0.84723467,"about_ca_system_score_codex":0.00010249182,"about_ca_system_score_gemma":0.000028140104,"threshold_uncertainty_score":0.99996305},"labels":[],"label_agreement":null},{"id":"W3210794902","doi":"10.1080/24725854.2021.1983923","title":"Loading and scheduling outbound trucks at a dispatch warehouse","year":2021,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","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":"Innovation Cluster (Canada)","funders":"","keywords":"Truck; Warehouse; Scheduling (production processes); Business; Database; Computer science; Operations research; Operations management; Transport engineering; Automotive engineering; Engineering; Marketing","score_opus":0.009344913126283706,"score_gpt":0.20430636087593232,"score_spread":0.1949614477496486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210794902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0723742,0.00042322147,0.9258593,0.000064290565,0.00025212124,0.000044444292,0.000016594286,0.00034569346,0.0006201432],"genre_scores_gemma":[0.96855676,0.00046782027,0.030253926,0.00001620439,0.000031044332,0.000010918523,0.000011649684,0.0000301494,0.0006214984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995302,0.000007483584,0.0001094892,0.00014203916,0.00005874252,0.00015203687],"domain_scores_gemma":[0.9997286,0.000044719593,0.000009951639,0.00012428721,0.00002135679,0.00007109439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000021861662,0.00009941385,0.00009723052,0.0000388043,0.00018909574,0.000038221962,0.000026609661,0.000053849024,0.00010397798],"category_scores_gemma":[0.000010232521,0.000112655915,0.000032384556,0.000082852275,0.000025228097,0.00011164198,0.000003782032,0.0001270435,0.0000110464935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030983629,0.000009894869,0.000032044863,0.000038199974,0.000022411872,0.000010690994,0.0003336917,0.9946226,0.001676278,0.00005573133,0.000009489816,0.003185892],"study_design_scores_gemma":[0.0012653961,0.000030443778,0.000962369,0.00013104071,0.00022938655,0.00018993605,0.0006647891,0.8088973,0.17660697,0.0019875928,0.008121483,0.00091326854],"about_ca_topic_score_codex":0.0000066506805,"about_ca_topic_score_gemma":0.00009552732,"teacher_disagreement_score":0.8961826,"about_ca_system_score_codex":0.00006507574,"about_ca_system_score_gemma":0.000008818606,"threshold_uncertainty_score":0.4593975},"labels":[],"label_agreement":null},{"id":"W4281676701","doi":"10.1080/24725854.2022.2067915","title":"Modeling and optimization for multiple correlated responses with distribution variability","year":2022,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Optimal Experimental Design Methods","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":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Copula (linguistics); Joint probability distribution; Smoothing; Nonparametric statistics; Multivariate statistics; Parametric statistics; Multivariate normal distribution; Mathematical optimization; Computer science; Marginal distribution; Semiparametric model; Econometrics; Mathematics; Statistics; Machine learning; Random variable","score_opus":0.10504898542697239,"score_gpt":0.3866190691078836,"score_spread":0.2815700836809112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281676701","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":[0.07310829,0.000038754588,0.92539155,0.00021296222,0.00015859706,0.00052093883,0.00046516885,0.00006665422,0.000037082646],"genre_scores_gemma":[0.8072445,0.0000035901298,0.19220948,0.00002242941,0.000006080169,0.00024712677,0.000039232484,0.000010597242,0.00021697533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801034,0.0006042738,0.00036083622,0.00040780767,0.00046197447,0.0001547886],"domain_scores_gemma":[0.9975832,0.0018293986,0.00007053411,0.00026160135,0.00017646367,0.00007881239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026714273,0.00010315973,0.00015682113,0.00009677992,0.00090359576,0.00009178103,0.00014832804,0.00003846779,0.00048823445],"category_scores_gemma":[0.0007109673,0.000087769586,0.00005927557,0.00057205686,0.000068572466,0.0002973027,0.000013324733,0.00014371658,0.0000013445293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011134242,0.000106690815,0.00013776973,0.0000016939786,0.00001085151,6.279428e-7,0.00031629115,0.9936194,0.0014083897,0.00012649462,0.000017336037,0.0031410474],"study_design_scores_gemma":[0.0006599376,0.00022358875,0.00006595668,0.0000022198667,0.000030033498,0.00001799836,0.00089263765,0.99582297,0.0008522761,0.001022587,0.00029667272,0.00011312035],"about_ca_topic_score_codex":0.000047353176,"about_ca_topic_score_gemma":0.000007817626,"teacher_disagreement_score":0.73413616,"about_ca_system_score_codex":0.000116916795,"about_ca_system_score_gemma":0.00007528652,"threshold_uncertainty_score":0.69498193},"labels":[],"label_agreement":null},{"id":"W4360844228","doi":"10.1080/24725854.2023.2193835","title":"Routing and wavelength assignment with protection: A quadratic unconstrained binary optimization approach enabled by Digital Annealer technology","year":2023,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Quadratic unconstrained binary optimization; Heuristics; Computer science; Routing and wavelength assignment; Suite; Integer programming; Mathematical optimization; Routing (electronic design automation); Set (abstract data type); Quantum computer; Algorithm; Computer network; Mathematics; Wavelength-division multiplexing; Quantum","score_opus":0.008127095850712583,"score_gpt":0.1841998493555504,"score_spread":0.1760727535048378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360844228","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":[0.019223338,0.000059556394,0.97530335,0.00037617673,0.000043671873,0.00051552575,0.000021965468,0.0035870192,0.00086937565],"genre_scores_gemma":[0.94597256,0.0000717162,0.053370263,0.0000036805993,0.0000114617405,0.0003531373,0.000024127434,0.000043146556,0.00014989996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991233,0.000007725979,0.00018685342,0.0002506314,0.00011275788,0.00031873642],"domain_scores_gemma":[0.9996832,0.0000370601,0.000024712215,0.00017450338,0.000026747955,0.000053795626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044323635,0.0001881123,0.00017247707,0.00021112939,0.00018671759,0.000054490265,0.000075255,0.0001662513,0.000013967557],"category_scores_gemma":[0.000012928199,0.0001708113,0.000023286688,0.0011326543,0.00017458483,0.0003125568,0.000007810517,0.00030418093,0.000005154906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011160505,0.000036934143,0.000015495794,0.000041932995,0.000056232206,0.000006379374,0.000066443165,0.97322035,0.00082940055,0.00012894698,0.000028519293,0.0255582],"study_design_scores_gemma":[0.00039029753,0.00012204034,0.000008908459,0.00003711676,0.000027558022,0.00004286379,0.0012921615,0.9969207,0.0006517225,0.00018311331,0.00009396476,0.00022955908],"about_ca_topic_score_codex":0.0000011983841,"about_ca_topic_score_gemma":0.0000015267663,"teacher_disagreement_score":0.9267492,"about_ca_system_score_codex":0.000085593485,"about_ca_system_score_gemma":0.000013536969,"threshold_uncertainty_score":0.6965482},"labels":[],"label_agreement":null},{"id":"W4404590781","doi":"10.1080/24725854.2024.2432410","title":"An optimization approach for biosurveillance in wastewater networks","year":2024,"lang":"en","type":"article","venue":"IISE Transactions","topic":"SARS-CoV-2 detection and testing","field":"Medicine","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":"Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Software deployment; Situation awareness; Population; Scalability; Computer science; Environmental resource management; Wireless sensor network; Risk analysis (engineering); Environmental planning; Data science; Business; Engineering; Environmental health; Environmental science; Medicine","score_opus":0.0290014750395474,"score_gpt":0.29634273289567276,"score_spread":0.26734125785612534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404590781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044904787,0.00017406822,0.95307773,0.0001386658,0.00028717244,0.00036263108,0.000007821774,0.0002955566,0.000751554],"genre_scores_gemma":[0.96237165,0.0000111185645,0.037038445,0.00015087184,0.00013384158,0.00011279426,0.000029082312,0.00002774535,0.00012442858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938625,0.000020761656,0.00016054162,0.00021638343,0.00006260812,0.00015347368],"domain_scores_gemma":[0.9997463,0.00004859577,0.000011550716,0.00012479389,0.000031899155,0.00003681354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013683696,0.00008541702,0.000114629176,0.0001642172,0.000064399464,0.000039755338,0.000027998132,0.00007809966,0.0000373475],"category_scores_gemma":[0.000008321421,0.00007696261,0.00006495022,0.00036680928,0.0000197767,0.00012188705,6.458926e-7,0.00014816564,0.0000025860402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013896095,0.00025011995,0.0003017869,0.00017972123,0.000050523286,0.000012562061,0.00045349728,0.94314283,0.035577178,0.000034986748,0.000045347384,0.01981246],"study_design_scores_gemma":[0.00044662415,0.00008919491,0.00008356604,0.000045452667,0.00003404112,0.000058534326,0.0000818975,0.98523647,0.013329271,0.000007905991,0.0005028071,0.00008423806],"about_ca_topic_score_codex":0.000026911282,"about_ca_topic_score_gemma":0.000026933709,"teacher_disagreement_score":0.9174669,"about_ca_system_score_codex":0.000043462627,"about_ca_system_score_gemma":0.000028653936,"threshold_uncertainty_score":0.31384444},"labels":[],"label_agreement":null},{"id":"W4407764736","doi":"10.1080/24725854.2025.2470419","title":"Cooperation in assembly systems with supply risks","year":2025,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Supply Chain and Inventory Management","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":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Business; Risk analysis (engineering)","score_opus":0.02445543711581314,"score_gpt":0.24638196777318142,"score_spread":0.22192653065736828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407764736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31056488,0.00044690564,0.3544512,0.00759915,0.0032717993,0.0025716927,0.000013171487,0.00071207096,0.32036912],"genre_scores_gemma":[0.9948804,0.000016421189,0.000043622043,0.00075358065,0.00011455687,0.00016528739,0.00001980993,0.000013001079,0.0039933445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992569,0.0000120605255,0.00020268686,0.00021021011,0.0001304573,0.00018767086],"domain_scores_gemma":[0.9996832,0.000018070501,0.000041822237,0.00017933521,0.0000699574,0.0000076069778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016487356,0.0001246766,0.00013477515,0.00044453813,0.00016734959,0.00026724348,0.00011423523,0.000045014724,0.00024342892],"category_scores_gemma":[0.0000052622254,0.00011150669,0.000036039193,0.00076997624,0.000026631089,0.0007437307,0.0000063435427,0.00011795439,0.000116521944],"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":[0.00073619274,0.0024770973,0.07084546,0.0024613435,0.0006397341,0.00014749193,0.0006263536,0.46590534,0.0022611031,0.3601128,0.052124042,0.041663043],"study_design_scores_gemma":[0.0047866614,0.000056086275,0.044230938,0.0008147917,0.00044000207,0.000003839213,0.0035993634,0.26811665,0.00042038498,0.0006402436,0.6759402,0.0009507993],"about_ca_topic_score_codex":0.0024765956,"about_ca_topic_score_gemma":0.0020847095,"teacher_disagreement_score":0.6843155,"about_ca_system_score_codex":0.000061832594,"about_ca_system_score_gemma":0.000025730864,"threshold_uncertainty_score":0.45471108},"labels":[],"label_agreement":null},{"id":"W4408960811","doi":"10.1080/24725854.2025.2485177","title":"RETRACTED ARTICLE: Conic Reformulations of a Class of Discrete Stochastic Location Problems with Congestion","year":2025,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":true,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Conic section; Class (philosophy); Computer science; Mathematical optimization; Mathematics; Mathematical economics; Artificial intelligence; Geometry","score_opus":0.013130320620012115,"score_gpt":0.2281004357585518,"score_spread":0.21497011513853967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408960811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2438471,0.000047048205,0.7474773,0.002325647,0.00022583875,0.000771725,0.000012394,0.00012130978,0.005171637],"genre_scores_gemma":[0.999063,0.0000059967047,0.00015224247,0.000070274655,0.000018080049,0.00006369279,0.000038206024,0.000007786776,0.00058072415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912083,0.000009762412,0.0003909058,0.00016715901,0.00018690279,0.00012443645],"domain_scores_gemma":[0.99915886,0.000020620255,0.000111896705,0.00024523688,0.00045411105,0.000009284061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001633153,0.000103062746,0.00015117861,0.000303637,0.00011813818,0.000024114315,0.00009152186,0.00005828529,0.00017781476],"category_scores_gemma":[0.000034197757,0.00009203458,0.00004667834,0.0012418315,0.00009389839,0.00055790145,0.0000062355784,0.000112082635,0.00001818604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019766214,0.0004680503,0.0011767058,0.001205364,0.00020382392,2.4062118e-7,0.00022416169,0.92702764,0.003878118,0.058566913,0.00010647401,0.006944851],"study_design_scores_gemma":[0.002887327,0.0001010559,0.13328703,0.0009844989,0.0012142508,0.0000010835741,0.001837765,0.84911096,0.0016635596,0.004334247,0.0040556076,0.00052263687],"about_ca_topic_score_codex":0.00092699623,"about_ca_topic_score_gemma":0.0020000304,"teacher_disagreement_score":0.7552159,"about_ca_system_score_codex":0.000037764028,"about_ca_system_score_gemma":0.00005037217,"threshold_uncertainty_score":0.37530613},"labels":[],"label_agreement":null},{"id":"W4410153122","doi":"10.1080/24725854.2025.2501036","title":"Deploying pickers and robots in cobot-based collaborative order picking systems","year":2025,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Advanced Manufacturing and Logistics Optimization","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":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Robot; Order (exchange); Computer science; Human–computer interaction; Artificial intelligence; Business","score_opus":0.004475955720399108,"score_gpt":0.21278597263830556,"score_spread":0.20831001691790646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410153122","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":[0.004913832,0.00040211278,0.9930581,0.00006203671,0.00032199963,0.00018374999,0.000008555708,0.00023850206,0.0008110999],"genre_scores_gemma":[0.9884511,0.00009815997,0.0112435585,0.000018873692,0.000007190053,0.00005365009,0.000005048402,0.000015664975,0.00010671082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995396,0.000016741988,0.00014248925,0.00012083967,0.00004717853,0.00013316303],"domain_scores_gemma":[0.9997517,0.000083567385,0.000012945555,0.00008516169,0.000037844282,0.000028819231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004045828,0.000099835175,0.00011829284,0.00016935775,0.00009358277,0.00003691333,0.000032598626,0.00005781299,0.0000052091423],"category_scores_gemma":[0.000012055969,0.000111770714,0.000011961758,0.00038090014,0.000027407295,0.00009251054,0.0000011849464,0.00013234866,0.0000011422354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005527414,0.000010970363,0.00015369379,0.00007625957,0.000016063555,0.0000022476127,0.00015601808,0.998301,0.00013281315,0.00019896451,0.000016316208,0.00093007885],"study_design_scores_gemma":[0.0007180909,0.000012133385,0.0010482374,0.0001809765,0.00003931201,0.0000011661663,0.0005903235,0.99405533,0.0024452223,0.00010762247,0.00060109305,0.00020046817],"about_ca_topic_score_codex":0.000050116712,"about_ca_topic_score_gemma":0.00017737754,"teacher_disagreement_score":0.9835373,"about_ca_system_score_codex":0.00008413818,"about_ca_system_score_gemma":0.000033304033,"threshold_uncertainty_score":0.45578775},"labels":[],"label_agreement":null},{"id":"W4412393675","doi":"10.1080/24725854.2025.2531041","title":"System-wide incentives to trace food processing: A cooperative-game analysis","year":2025,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","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":"Incentive; TRACE (psycholinguistics); Computer science; Microeconomics; Economics","score_opus":0.015229851840710643,"score_gpt":0.2515374352446341,"score_spread":0.2363075834039235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412393675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31968734,0.000374043,0.6516065,0.002633596,0.00039797285,0.0006367139,0.00001883987,0.0004995597,0.024145415],"genre_scores_gemma":[0.99698746,0.000003578567,0.00014816428,0.00041868762,0.000043403226,0.00011554326,0.000008085044,0.000014259998,0.0022608314],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99895614,0.000019993999,0.00028207662,0.00033717096,0.00015969292,0.00024490492],"domain_scores_gemma":[0.9994346,0.00005187979,0.00006492947,0.00021431892,0.00021201027,0.00002227347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018054759,0.00018151624,0.000284749,0.0009034377,0.000410711,0.0003992541,0.00018313488,0.00005375333,0.0002800641],"category_scores_gemma":[0.000024428418,0.00017757001,0.00018235075,0.003635103,0.000035112087,0.00067985174,0.000015027112,0.00014537675,0.00006135764],"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":[0.0012490564,0.0028497106,0.24434078,0.0052844654,0.0073094033,0.000084407744,0.006207291,0.03559059,0.011005467,0.016338136,0.004573165,0.6651675],"study_design_scores_gemma":[0.003519472,0.00008239426,0.4986351,0.0014442941,0.026245223,0.0000056304048,0.013845059,0.067453384,0.0026832053,0.00023814374,0.38325915,0.0025889252],"about_ca_topic_score_codex":0.0003309935,"about_ca_topic_score_gemma":0.0016941746,"teacher_disagreement_score":0.6773001,"about_ca_system_score_codex":0.000053512947,"about_ca_system_score_gemma":0.00005350084,"threshold_uncertainty_score":0.7241095},"labels":[],"label_agreement":null},{"id":"W4414408996","doi":"10.1080/24725854.2025.2561562","title":"An approximate periodic review stochastic inventory control system with both fixed cost and random yield","year":2025,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"Yield (engineering); Control system; Control (management); Fixed point; Optimal control; Stochastic process; Inventory control","score_opus":0.014115636647874146,"score_gpt":0.22140764933918822,"score_spread":0.20729201269131406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414408996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003113248,0.0050259326,0.9699537,0.0027314292,0.0006942947,0.0034796204,0.000019256813,0.00057317124,0.014409328],"genre_scores_gemma":[0.9944608,0.0002074466,0.000049177794,0.0038333056,0.00012206079,0.0005691683,0.000018634451,0.00002511268,0.0007142592],"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888486,0.000028932536,0.0002938914,0.0003370918,0.00018887813,0.00026635913],"domain_scores_gemma":[0.99940854,0.00005032776,0.00010577993,0.0003284822,0.00007248633,0.000034401273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034988212,0.00022529553,0.00036375973,0.0002497169,0.00039967505,0.00023030204,0.00016666904,0.00004744432,0.00031228227],"category_scores_gemma":[0.000017109642,0.00018921778,0.00008259401,0.00037639678,0.00010033172,0.0006461502,0.000008416349,0.00014211792,0.000030205674],"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":[0.012314067,0.007296018,0.012403773,0.2825007,0.008342431,0.00051244715,0.0028953496,0.08676381,0.0032505195,0.26226014,0.15060455,0.1708562],"study_design_scores_gemma":[0.034565154,0.00026995537,0.0028256478,0.0332634,0.008671873,0.000044114062,0.007925542,0.6769665,0.0000500822,0.00039749965,0.23217236,0.0028478927],"about_ca_topic_score_codex":0.0002415799,"about_ca_topic_score_gemma":0.000275434,"teacher_disagreement_score":0.9913476,"about_ca_system_score_codex":0.000057301273,"about_ca_system_score_gemma":0.00003959734,"threshold_uncertainty_score":0.77160776},"labels":[],"label_agreement":null},{"id":"W4414939270","doi":"10.1080/24725854.2025.2569666","title":"Audit and compliance in supply chains with damage cost sharing under supplier’s responsibility standards","year":2025,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Audit; Supply chain; Compliance (psychology); Financial Audit; Cost sharing; Order (exchange)","score_opus":0.018565698229120218,"score_gpt":0.27208096787614916,"score_spread":0.2535152696470289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414939270","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":[0.54086995,0.00021626732,0.38624877,0.022672545,0.00050587644,0.0035902942,0.00013890296,0.00057522365,0.045182176],"genre_scores_gemma":[0.9939205,0.000022083124,0.0003223248,0.001193103,0.00005375137,0.00018957072,0.000021822063,0.000028378074,0.004248448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983466,0.00002013693,0.00029301274,0.0005801925,0.00030657844,0.00045347263],"domain_scores_gemma":[0.99913645,0.0000881397,0.00006875396,0.0004890853,0.00019447613,0.000023070797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160647,0.0002423706,0.00026435306,0.00066611514,0.00037629536,0.00033656455,0.00025332716,0.000066936336,0.0005097811],"category_scores_gemma":[0.000036526468,0.00024082055,0.000046434096,0.0012459086,0.00017064525,0.00085217005,0.00006468853,0.00028551265,0.000012338641],"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":[0.006596138,0.002626867,0.3281521,0.009306917,0.0009356296,0.0007305974,0.0020389627,0.13198356,0.0010037274,0.42974877,0.013211499,0.07366522],"study_design_scores_gemma":[0.009607923,0.00007083717,0.6245137,0.0013700312,0.000515087,0.0000068279824,0.017922912,0.10344558,0.00024531526,0.031407464,0.20921628,0.0016780611],"about_ca_topic_score_codex":0.0012414308,"about_ca_topic_score_gemma":0.008892064,"teacher_disagreement_score":0.45305058,"about_ca_system_score_codex":0.00040174922,"about_ca_system_score_gemma":0.00012485248,"threshold_uncertainty_score":0.98203766},"labels":[],"label_agreement":null}]}