{"meta":{"query_hash":"c900aa7c89d3","filters":{"venue":"International Journal of Production Economics"},"cohort_total":209,"direct_labels_cover":0,"predictions_cover":209,"exported":209,"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/c900aa7c89d3","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Production+Economics"},"results":[{"id":"W1143538317","doi":"10.1016/j.ijpe.2015.07.034","title":"Joint optimal lot sizing and preventive maintenance policy for a production facility subject to condition monitoring","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Centres of Excellence","keywords":"Computer science; Production (economics); Preventive maintenance; Statistic; Covariate; Operations research; Sizing; Process (computing); Markov chain; Reliability engineering; Operations management; Statistics; Mathematics; Engineering; Economics","score_opus":0.025762511836245564,"score_gpt":0.2663750514590995,"score_spread":0.24061253962285395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1143538317","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":[0.91219306,0.0000742059,0.07867554,0.0031886161,0.005410443,0.0003439852,0.00002663887,0.00003522153,0.000052309086],"genre_scores_gemma":[0.98258775,0.00034614585,0.014883971,0.000021688671,0.001960559,0.000024975145,0.000010343234,0.000015096482,0.00014946664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990563,0.00002173308,0.00047712345,0.00019325114,0.00010953025,0.00014209206],"domain_scores_gemma":[0.99868834,0.000017924693,0.00019849594,0.0000982052,0.00089328317,0.00010373815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007725182,0.00011543845,0.00017308019,0.0002595936,0.00003793373,0.000066627974,0.00010662299,0.00004649128,0.0000020428106],"category_scores_gemma":[0.0012034044,0.00012176802,0.000066060675,0.00007621504,0.000045269055,0.00082471315,0.000024994417,0.00011700612,0.0000035323687],"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":[0.00025636778,0.00004121059,0.00053488294,0.000032030242,0.00011009378,7.6791986e-7,0.001534248,0.97853017,0.0045813676,0.00028937543,0.0009620037,0.01312747],"study_design_scores_gemma":[0.007345633,0.0021183838,0.019979212,0.00130299,0.0002427603,0.0024450575,0.015778897,0.11016385,0.743043,0.034088314,0.061392974,0.0020989482],"about_ca_topic_score_codex":0.000010593618,"about_ca_topic_score_gemma":0.000005106524,"teacher_disagreement_score":0.8683663,"about_ca_system_score_codex":0.0007884937,"about_ca_system_score_gemma":0.000101458376,"threshold_uncertainty_score":0.49655557},"labels":[],"label_agreement":null},{"id":"W1266638216","doi":"10.1016/j.ijpe.2015.08.018","title":"A multi-period location model with transportation economies-of-scale and perishable inventory","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"China Postdoctoral Science Foundation; Qinglan Project of Jiangsu Province of China; Ministry of Education of the People's Republic of China; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Time horizon; Economies of scale; Total cost; Operations research; Computer science; Inventory cost; Nonlinear programming; Scale (ratio); Fixed cost; Business; Supply chain; Mathematical optimization; Nonlinear system; Microeconomics; Economics; Mathematics; Marketing","score_opus":0.036887508487762344,"score_gpt":0.21108290659152446,"score_spread":0.1741953981037621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1266638216","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":[0.9335927,0.00025068864,0.06478145,0.00019197093,0.0009334148,0.000057352332,0.0000171277,0.000015252838,0.00016005253],"genre_scores_gemma":[0.98477286,0.00023930948,0.014666967,0.000010301057,0.00019978528,0.0000020595055,0.000014798349,0.000014957528,0.00007895026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994116,0.000004474874,0.00037290712,0.00008348505,0.00006781004,0.00005972179],"domain_scores_gemma":[0.99936026,0.0000033316176,0.00016857251,0.0000624348,0.0003411479,0.00006427915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014953596,0.00007956572,0.00013702529,0.00012784445,0.00001099393,0.000019701536,0.00009341421,0.000037304235,0.000005451835],"category_scores_gemma":[0.000009908745,0.00007843327,0.000028120488,0.000029717903,0.00005991416,0.000451063,0.000001924054,0.000086619526,0.0000012259411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010022691,0.000044222277,0.014392667,0.000021664839,0.00010835193,0.0000019096767,0.0013035855,0.9823861,0.0003834574,0.00029651253,0.00019036404,0.00077090436],"study_design_scores_gemma":[0.0021117746,0.00018941685,0.013955145,0.00008100185,0.000094526724,0.00017743741,0.0010936399,0.9708552,0.0073037636,0.0012006444,0.0026423028,0.00029517504],"about_ca_topic_score_codex":0.0000072349058,"about_ca_topic_score_gemma":0.0001386917,"teacher_disagreement_score":0.05118018,"about_ca_system_score_codex":0.0001292121,"about_ca_system_score_gemma":0.000092410424,"threshold_uncertainty_score":0.31984162},"labels":[],"label_agreement":null},{"id":"W1653661452","doi":"10.1016/j.ijpe.2015.09.006","title":"Is dishonesty the best policy? Supplier behaviour in a multi-tier supply chain","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Supply chain; Rework; Business; Tier 1 network; Purchasing; Product (mathematics); Component (thermodynamics); Production (economics); Tier 2 network; Industrial organization; Investment (military); Dishonesty; Imperfect; Microeconomics; Marketing; Computer science; Economics","score_opus":0.05288826903659953,"score_gpt":0.28117819118453674,"score_spread":0.2282899221479372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1653661452","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":[0.9231612,0.000075438904,0.00017830938,0.06765926,0.006717634,0.000223109,0.0000064275987,0.000012309989,0.0019662944],"genre_scores_gemma":[0.98885614,0.00007228193,0.0001838245,0.003153329,0.005787853,0.000010414527,0.000011473025,0.000020276537,0.0019044325],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887985,0.000014237659,0.0005343288,0.00018079353,0.00022744756,0.00016335376],"domain_scores_gemma":[0.99888194,0.000010327905,0.00049749424,0.00016862479,0.0004180937,0.000023526763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093119807,0.00013051002,0.00015291445,0.0005973258,0.00004566441,0.0002608463,0.0005288123,0.000040741234,0.00014716208],"category_scores_gemma":[0.00019878414,0.00010514664,0.0001030673,0.00016051512,0.00006389619,0.0013539732,0.00014958116,0.00018543258,0.00013952363],"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":[0.0004466282,0.0013407118,0.821114,0.00002955838,0.00034179035,0.00005743659,0.002099366,0.015389508,0.00009416274,0.022220127,0.1138481,0.02301862],"study_design_scores_gemma":[0.0043606944,0.00006431718,0.07911439,0.00010765276,0.00009814172,0.00019360936,0.011217207,0.009502899,0.0005981293,0.011593428,0.88258964,0.000559869],"about_ca_topic_score_codex":0.00051327725,"about_ca_topic_score_gemma":0.00025806308,"teacher_disagreement_score":0.76874155,"about_ca_system_score_codex":0.00027747167,"about_ca_system_score_gemma":0.00008770651,"threshold_uncertainty_score":0.42877555},"labels":[],"label_agreement":null},{"id":"W1965191082","doi":"10.1016/j.ijpe.2012.01.021","title":"Social issues in supply chains: Capabilities link responsibility, risk (opportunity), and performance","year":2012,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":660,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Multinational corporation; Supply chain; Business; Process management; Key (lock); Process (computing); Supply chain management; Product (mathematics); Knowledge management; Risk analysis (engineering); Computer science; Marketing; Computer security","score_opus":0.020623948048106803,"score_gpt":0.2582988599245929,"score_spread":0.2376749118764861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965191082","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":[0.97789913,0.0001658258,0.000022615433,0.018926002,0.0020405892,0.00013807065,0.0000019544857,0.000013858058,0.0007919784],"genre_scores_gemma":[0.9896787,0.00055646466,0.00018785658,0.00038821372,0.008454354,0.000005399645,0.0000060433213,0.000015086779,0.00070791424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989133,0.000034192948,0.00053548283,0.00015057217,0.00016350733,0.00020293605],"domain_scores_gemma":[0.9988279,0.000038346236,0.0005999993,0.00010443024,0.00040934037,0.00002000933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024888124,0.00011910167,0.00017940326,0.00071775855,0.00009036394,0.00016824083,0.00023490675,0.00004570086,0.00010172711],"category_scores_gemma":[0.0008051765,0.00012330258,0.000056550634,0.00009533439,0.00009252126,0.0031808622,0.00015657287,0.00021741574,0.000012536415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044721932,0.00017762765,0.91425115,0.00011268424,0.000116770025,0.0000054759425,0.0013207296,0.0012437144,0.00001713171,0.022529442,0.0023701398,0.057407897],"study_design_scores_gemma":[0.0010236392,0.000039725943,0.7677447,0.000054397267,0.000053505428,0.000048473747,0.005391904,0.0027215332,0.00016775142,0.019843595,0.20259172,0.000319047],"about_ca_topic_score_codex":0.0001907956,"about_ca_topic_score_gemma":0.00005333835,"teacher_disagreement_score":0.20022157,"about_ca_system_score_codex":0.00028781057,"about_ca_system_score_gemma":0.000049651215,"threshold_uncertainty_score":0.50281334},"labels":[],"label_agreement":null},{"id":"W1965981116","doi":"10.1016/j.ijpe.2004.01.002","title":"A mixed integer programming model for a two line CONWIP-based production and assembly system","year":2004,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Integer programming; Assembly line; Computer science; Mathematical optimization; Production (economics); Production line; Integer (computer science); Mathematics; Engineering; Programming language; Economics; Microeconomics","score_opus":0.02413473988500921,"score_gpt":0.2498046402009948,"score_spread":0.22566990031598558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965981116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27468154,0.0000926901,0.7186451,0.0014743935,0.004820985,0.00018573734,0.0000069417515,0.000077863086,0.000014732552],"genre_scores_gemma":[0.7989423,0.000034682147,0.19972268,0.000024604587,0.0011825367,0.000017597644,0.000009437171,0.000025793555,0.000040337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999136,0.0000090101485,0.00048791379,0.0001589027,0.000098806355,0.00010938894],"domain_scores_gemma":[0.9989879,0.000016272399,0.00024181207,0.000084994484,0.00060874585,0.00006028334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043614997,0.00011844234,0.00016576181,0.00024732164,0.000043391705,0.0000953558,0.00012003946,0.000047680525,0.0000010229313],"category_scores_gemma":[0.00019414822,0.00012223047,0.000075382544,0.000054152424,0.000027959468,0.00037981363,0.0000092064265,0.0001317959,0.000001959119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071497496,0.0000387387,0.000025603822,0.00003566309,0.00010677528,9.659849e-7,0.00015797585,0.9912057,0.0005165242,0.00087473437,0.000041298095,0.00692456],"study_design_scores_gemma":[0.0010044432,0.000049857023,0.000008285077,0.0001290454,0.00003209145,0.0002283914,0.00019159884,0.9814129,0.016327197,0.00026804063,0.00022370862,0.00012445464],"about_ca_topic_score_codex":0.0000020532011,"about_ca_topic_score_gemma":0.000011205456,"teacher_disagreement_score":0.52426076,"about_ca_system_score_codex":0.00038110325,"about_ca_system_score_gemma":0.00009937654,"threshold_uncertainty_score":0.4984414},"labels":[],"label_agreement":null},{"id":"W1966069485","doi":"10.1016/j.ijpe.2011.06.004","title":"Games with incomplete information: A simplified exposition with inventory management applications","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Complete information; Subgame perfect equilibrium; Mathematical economics; Computer science; Stochastic game; Nash equilibrium; Equilibrium selection; Bayesian game; Epsilon-equilibrium; Markov perfect equilibrium; Solution concept; Best response; Sequential equilibrium; Bayesian probability; Extensive-form game; Correlated equilibrium; Supply chain; Mathematical optimization; Sequential game; Game theory; Repeated game; Economics; Mathematics; Artificial intelligence","score_opus":0.02122793729881892,"score_gpt":0.1910661416484935,"score_spread":0.1698382043496746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966069485","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":[0.63104445,0.000100075544,0.14227316,0.00999756,0.0065101385,0.002407707,0.00001622932,0.00024292279,0.20740776],"genre_scores_gemma":[0.9916478,0.00006540886,0.004071982,0.0017898859,0.0020250727,0.000073201656,0.00005194109,0.000019228908,0.0002555061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990626,0.0000062150743,0.0004564424,0.00013924057,0.00021945436,0.000116072806],"domain_scores_gemma":[0.9984785,0.000003936943,0.0008005824,0.00016860057,0.00052995316,0.000018465473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745329,0.00013032104,0.00012843774,0.00059000764,0.00007632306,0.00018529368,0.00035528882,0.000023303279,0.00024483516],"category_scores_gemma":[0.000006812922,0.00010897277,0.000053499247,0.00014073685,0.000081061036,0.0034827145,0.00007521402,0.0000936893,0.00009695599],"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":[0.0040063234,0.0013004247,0.04023529,0.00047176745,0.0032868965,0.00007036755,0.001905834,0.013816936,0.000071371156,0.7493528,0.028361406,0.1571206],"study_design_scores_gemma":[0.0022700955,0.00014914517,0.01135877,0.00014421274,0.00020189438,0.00017844327,0.0033218048,0.00085963326,0.00037468562,0.012258929,0.9684488,0.0004335611],"about_ca_topic_score_codex":0.000023024553,"about_ca_topic_score_gemma":0.000017623506,"teacher_disagreement_score":0.94008744,"about_ca_system_score_codex":0.00014295004,"about_ca_system_score_gemma":0.000023689494,"threshold_uncertainty_score":0.44437802},"labels":[],"label_agreement":null},{"id":"W1966325083","doi":"10.1016/j.ijpe.2003.07.002","title":"Multi-product capacity-constrained lot sizing with economic objectives","year":2003,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sizing; Queueing theory; Computer science; Economic order quantity; Mathematical optimization; Queue; Production (economics); Product (mathematics); Holding cost; Throughput; Operations research; Microeconomics; Economics; Mathematics; Business; Computer network","score_opus":0.01585667189638931,"score_gpt":0.2215979080474896,"score_spread":0.2057412361511003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966325083","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":[0.9316317,0.0002570539,0.056588586,0.0005773411,0.009517992,0.00010997165,0.000011585919,0.00008305396,0.0012227553],"genre_scores_gemma":[0.83501345,0.00025045418,0.16376941,0.000026246535,0.0008171666,0.0000022798818,0.0000026662242,0.00002832697,0.00008999612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991877,0.000024899218,0.00042565548,0.00016177037,0.00007693542,0.00012302284],"domain_scores_gemma":[0.99932945,0.000023536746,0.00022411428,0.000115311836,0.00024220365,0.00006538036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003422892,0.00013459627,0.00017187867,0.00024490815,0.000040266405,0.00008218953,0.00017139096,0.000035845573,0.00006761879],"category_scores_gemma":[0.00012554872,0.00013248493,0.00006720716,0.000045408928,0.000060549886,0.0005369036,0.000006307902,0.00019207285,0.000020580046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026051526,0.000035938265,0.0009537979,0.000005316863,0.00028885735,0.0000030359054,0.0003221043,0.99400985,0.0008474229,0.0007101052,0.00004216196,0.0027553514],"study_design_scores_gemma":[0.010340547,0.0004960941,0.006641323,0.00037087052,0.00026617668,0.010856516,0.0060009663,0.49732873,0.4366876,0.0025322645,0.0260308,0.002448143],"about_ca_topic_score_codex":0.0000034534628,"about_ca_topic_score_gemma":0.000014067968,"teacher_disagreement_score":0.49668112,"about_ca_system_score_codex":0.00033253478,"about_ca_system_score_gemma":0.000102971484,"threshold_uncertainty_score":0.5402579},"labels":[],"label_agreement":null},{"id":"W1969922823","doi":"10.1016/j.ijpe.2008.09.017","title":"A production rate control policy for stochastic repair and remanufacturing systems","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Remanufacturing; Production (economics); Control (management); Computer science; Reliability engineering; Reduction (mathematics); Process (computing); Component (thermodynamics); Inventory control; Operations research; Mathematical optimization; Control variable; Production rate; Variable (mathematics); Operations management; Holding cost; Manufacturing engineering; Economics; Microeconomics; Engineering; Mathematics","score_opus":0.0099239138825693,"score_gpt":0.23014103826644824,"score_spread":0.22021712438387894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969922823","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":[0.8835391,0.00023382022,0.02809016,0.07414912,0.012146057,0.001295543,0.000004281784,0.000115941686,0.00042599303],"genre_scores_gemma":[0.9835404,0.000036889458,0.00030655344,0.0008066802,0.014733127,0.000012542119,0.0000048335687,0.000015932135,0.0005430074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989525,0.000011994677,0.0005204437,0.0002351215,0.000118769676,0.00016117922],"domain_scores_gemma":[0.9982705,0.000028692913,0.00078614464,0.00012644583,0.000772719,0.000015479263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011720288,0.00012890526,0.00019455721,0.00075863133,0.0000925502,0.00029837177,0.00018295797,0.00003338303,0.000004803639],"category_scores_gemma":[0.0010022569,0.00012850862,0.000096306874,0.00008108844,0.000028410537,0.0016146082,0.00003114822,0.000093855495,0.000004526037],"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":[0.0014853139,0.00022329323,0.0007767822,0.00024264058,0.00069022743,0.000015473917,0.00018367686,0.8715693,0.00084346527,0.08533164,0.011667586,0.026970595],"study_design_scores_gemma":[0.012538767,0.0005442521,0.0399605,0.0007550463,0.00090654613,0.001168247,0.0067239874,0.23590598,0.0014092998,0.21429029,0.48389587,0.0019012078],"about_ca_topic_score_codex":0.00003928095,"about_ca_topic_score_gemma":0.0000046528835,"teacher_disagreement_score":0.63566333,"about_ca_system_score_codex":0.00034865102,"about_ca_system_score_gemma":0.000052030893,"threshold_uncertainty_score":0.5240429},"labels":[],"label_agreement":null},{"id":"W1970093037","doi":"10.1016/j.ijpe.2012.04.002","title":"A game-theoretic analysis of social responsibility conduct in two-echelon supply chains","year":2012,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Corporate social responsibility; Supply chain; Profitability index; Incentive; Business; Microeconomics; Upstream (networking); Perception; Downstream (manufacturing); Industrial organization; Marketing; Supply chain management; Economics; Computer science; Public relations","score_opus":0.023114410874464513,"score_gpt":0.29665949018698645,"score_spread":0.2735450793125219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970093037","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":[0.9917381,0.00004425633,0.00032430695,0.004536622,0.0020215577,0.00014804411,0.000004835689,0.000009847134,0.0011724565],"genre_scores_gemma":[0.9967656,0.000023156243,0.00021526548,0.0002972569,0.0024534124,0.000004626369,0.000022183192,0.000014659877,0.00020382562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998493,0.000049424365,0.00083118863,0.00018028794,0.00023188465,0.00021422439],"domain_scores_gemma":[0.9980085,0.00005437447,0.001085336,0.00015811184,0.00067849987,0.000015180795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029349513,0.0001281117,0.0003444662,0.0021835817,0.00003236267,0.00008306292,0.00037534293,0.000037619335,0.0003352043],"category_scores_gemma":[0.00056608045,0.00013295525,0.0002261338,0.0006144052,0.00010004205,0.001679952,0.00013038059,0.00016768447,0.00001173324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014130446,0.0010053491,0.6403035,0.00013416087,0.0027115261,0.000016452606,0.002466569,0.048343953,0.0008620664,0.2927395,0.0010710057,0.008932859],"study_design_scores_gemma":[0.0036566402,0.00004414652,0.8804272,0.00007469552,0.0016327586,0.000036842153,0.012330576,0.019408198,0.00206535,0.034241423,0.045384534,0.0006976374],"about_ca_topic_score_codex":0.00014074115,"about_ca_topic_score_gemma":0.00011977471,"teacher_disagreement_score":0.2584981,"about_ca_system_score_codex":0.00049158704,"about_ca_system_score_gemma":0.000058223162,"threshold_uncertainty_score":0.54217577},"labels":[],"label_agreement":null},{"id":"W1972371718","doi":"10.1016/j.ijpe.2009.01.008","title":"A new memetic algorithm for optimizing the partitioning problem of tandem AGV systems","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Memetic algorithm; Computer science; Workload; Local search (optimization); Genetic algorithm; Mathematical optimization; Population; Automated guided vehicle; Algorithm; Tandem; Local optimum; Evolutionary algorithm; Mathematics; Artificial intelligence; Machine learning; Engineering","score_opus":0.012887825055669953,"score_gpt":0.2310090371000849,"score_spread":0.21812121204441495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972371718","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":[0.0024381028,0.00026175607,0.99413776,0.00064666016,0.0021533996,0.00012461498,0.000004738727,0.000020528476,0.00021243135],"genre_scores_gemma":[0.59387475,0.0006084101,0.40358648,0.00002403798,0.0017073535,0.000004485477,0.000007842116,0.00001540902,0.00017121212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934745,0.000007863951,0.00042637106,0.000068339505,0.0000743048,0.00007566922],"domain_scores_gemma":[0.999322,0.000034774777,0.0002991255,0.00006470323,0.000251246,0.000028146094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024430972,0.0000692965,0.0001221124,0.000095696596,0.000033312856,0.00004717327,0.00014882669,0.000028294493,0.000004137251],"category_scores_gemma":[0.00004535151,0.0000592991,0.00006005757,0.000029705987,0.000013091434,0.00024637106,0.000005567196,0.0000863471,5.482775e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008654968,0.000009042362,0.00000456439,0.000004878384,0.00006809699,2.6669497e-7,0.00009464446,0.9463152,0.00013929134,0.0015861833,0.0005348445,0.051234286],"study_design_scores_gemma":[0.0010670817,0.00021531267,0.00016853234,0.00017844069,0.00009061888,0.00028449524,0.0002989524,0.9269403,0.023989571,0.03149413,0.015028375,0.00024414813],"about_ca_topic_score_codex":0.0000024932842,"about_ca_topic_score_gemma":7.9670787e-7,"teacher_disagreement_score":0.5914367,"about_ca_system_score_codex":0.00011862203,"about_ca_system_score_gemma":0.00003232379,"threshold_uncertainty_score":0.2418147},"labels":[],"label_agreement":null},{"id":"W1973628529","doi":"10.1016/s0925-5273(03)00183-x","title":"The impact of outsourcing on the transaction costs and boundaries of manufacturing","year":2003,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":250,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Outsourcing; Transaction cost; Restructuring; Industrial organization; Business; Economic restructuring; Database transaction; Product (mathematics); Manufacturing sector; Knowledge process outsourcing; Gross domestic product; Economics; Marketing; Economy; Economic growth; Labour economics; Finance; Computer science","score_opus":0.012327194037428508,"score_gpt":0.22724174819794107,"score_spread":0.21491455416051256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973628529","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":[0.99111205,0.000045995712,0.001090134,0.0049481257,0.0015191643,0.00007872364,0.0000011507683,0.0000036221709,0.0012010466],"genre_scores_gemma":[0.9992161,0.00010266702,0.000033374745,0.000062979,0.00048665793,9.1347965e-7,5.901232e-7,0.000007366267,0.00008936386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935514,0.0000140597285,0.00035935442,0.000076493496,0.00012311754,0.00007182308],"domain_scores_gemma":[0.9989842,0.00007382275,0.00064971944,0.000092983886,0.00019357863,0.000005657362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096725876,0.000074459036,0.000109818575,0.0001549893,0.0001471427,0.0002223811,0.000160302,0.000017354927,0.000026648102],"category_scores_gemma":[0.00019009635,0.000044552293,0.00010378373,0.00003430043,0.000103395345,0.0003774553,0.000015630148,0.00010525643,0.0000017618707],"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":[0.0016154102,0.00043623167,0.04858451,0.00012745998,0.0027847271,0.0000060668754,0.0021576595,0.66056967,0.002575719,0.13000411,0.0064948346,0.14464359],"study_design_scores_gemma":[0.006025313,0.000670419,0.20667543,0.0009945894,0.00062299706,0.0004268246,0.02429971,0.026138132,0.18185604,0.09607657,0.45493197,0.0012820077],"about_ca_topic_score_codex":0.00010334748,"about_ca_topic_score_gemma":0.00002058352,"teacher_disagreement_score":0.63443154,"about_ca_system_score_codex":0.00009385334,"about_ca_system_score_gemma":0.000027447362,"threshold_uncertainty_score":0.21444261},"labels":[],"label_agreement":null},{"id":"W1974591486","doi":"10.1016/j.ijpe.2015.03.024","title":"Dynamic safety stock in co-production demand-driven wood remanufacturing mills: A case study","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Remanufacturing; Safety stock; Production (economics); Stock (firearms); Business; Pulp and paper industry; Environmental science; Operations management; Industrial organization; Natural resource economics; Economics; Microeconomics; Manufacturing engineering; Supply chain; Engineering; Marketing","score_opus":0.026506929809665847,"score_gpt":0.276516675656869,"score_spread":0.25000974584720315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974591486","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":[0.9871671,0.00004923449,0.0005658711,0.0052982327,0.005946279,0.0005117242,0.0000013314998,0.000029714067,0.00043050217],"genre_scores_gemma":[0.9961508,0.000043333213,0.00051667343,0.00017627214,0.0027255546,0.000011570972,0.000010048951,0.000030412235,0.0003353596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9981914,0.00004204955,0.00089116325,0.00035291372,0.00031186367,0.00021061176],"domain_scores_gemma":[0.998014,0.000020793088,0.000916701,0.00023738734,0.000782391,0.000028779225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020236277,0.00018869514,0.0002667479,0.0012274614,0.00008201113,0.00025018468,0.0003917367,0.000045887697,0.000040419378],"category_scores_gemma":[0.0005380028,0.00019779334,0.000087357,0.00019249771,0.000038793467,0.0025083832,0.00016023306,0.00026074538,0.0000350571],"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":[0.0011603016,0.0013643116,0.08357272,0.00008842121,0.00069184194,0.003152857,0.0028333785,0.877145,0.00007303821,0.00047564646,0.004869515,0.024572982],"study_design_scores_gemma":[0.029722894,0.0009223269,0.08165186,0.0007019132,0.0009827093,0.026377987,0.4067644,0.1383084,0.0014641469,0.02887326,0.28042176,0.0038083391],"about_ca_topic_score_codex":0.0003688965,"about_ca_topic_score_gemma":0.00091575086,"teacher_disagreement_score":0.7388366,"about_ca_system_score_codex":0.0012313824,"about_ca_system_score_gemma":0.00008847398,"threshold_uncertainty_score":0.80657786},"labels":[],"label_agreement":null},{"id":"W1974813886","doi":"10.1016/j.ijpe.2014.07.016","title":"The strategic peril of information sharing in a vertical-Nash supply chain: A note","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Comparative statics; Information sharing; Nash equilibrium; Microeconomics; Pareto principle; Economics; Industrial organization; Pareto optimal; Business; Computer science; Operations management; Multi-objective optimization; Marketing","score_opus":0.017567951334027165,"score_gpt":0.22323473902461047,"score_spread":0.2056667876905833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974813886","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":[0.97416747,0.00002122819,0.0005768653,0.010220912,0.0041384306,0.00011467921,6.9367576e-7,0.000008660208,0.010751081],"genre_scores_gemma":[0.997776,0.00007146607,0.000071521004,0.0004692579,0.0015273613,0.0000031423547,0.0000048944476,0.000005781109,0.000070629496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906087,0.00000809407,0.0005991135,0.00007952746,0.00015320285,0.000099214805],"domain_scores_gemma":[0.99912024,0.000022307395,0.00043640248,0.00011057963,0.0003022947,0.000008201449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010220006,0.00007186959,0.00011027619,0.0003272285,0.000044115317,0.00023658696,0.0003816007,0.000024108329,0.000050007642],"category_scores_gemma":[0.00018748504,0.00005905194,0.00006644159,0.00008432969,0.000042282838,0.0017799269,0.00008835341,0.00010708438,0.000026066475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006233541,0.00020397018,0.026236422,0.00011241732,0.00019765219,0.000002098522,0.0005371805,0.050359026,0.0004426465,0.86088765,0.004133586,0.056263987],"study_design_scores_gemma":[0.0027850796,0.000092737435,0.032892108,0.00023267149,0.00005575723,0.000042093794,0.003340882,0.21899676,0.0013175069,0.12066023,0.61919576,0.00038838614],"about_ca_topic_score_codex":0.000050100163,"about_ca_topic_score_gemma":0.00007006044,"teacher_disagreement_score":0.7402274,"about_ca_system_score_codex":0.00011186422,"about_ca_system_score_gemma":0.000023285167,"threshold_uncertainty_score":0.24080682},"labels":[],"label_agreement":null},{"id":"W1974841084","doi":"10.1016/j.ijpe.2014.07.008","title":"Determining optimal price and order size for a price setting newsvendor under cycle service level","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Newsvendor model; Order (exchange); Price setting; Economics; Service (business); Economic order quantity; Microeconomics; Econometrics; Business; Supply chain; Marketing; Finance; Economy","score_opus":0.026965988915147086,"score_gpt":0.24289378331906533,"score_spread":0.21592779440391824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974841084","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":[0.9367252,0.000021977532,0.03346096,0.022751246,0.0044147265,0.0002416537,0.0000032439066,0.000027339785,0.0023536328],"genre_scores_gemma":[0.97156537,0.000023344219,0.015247274,0.005802692,0.0068509425,0.000010401903,0.000007266606,0.000030033923,0.00046267122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990874,0.000009002242,0.00043633545,0.00019950747,0.00012045298,0.00014729094],"domain_scores_gemma":[0.9984841,0.00008652328,0.00068458985,0.0000926719,0.0006342811,0.000017884979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007858529,0.0001184848,0.00014859448,0.00020182668,0.000095925214,0.0002887736,0.00025488617,0.000032948134,0.00006822323],"category_scores_gemma":[0.00049590424,0.00012071732,0.00005846383,0.000080311096,0.00002145982,0.0014419827,0.00015264715,0.00009205239,0.000013522086],"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":[0.0015350304,0.0008604735,0.019952305,0.0009564857,0.002093163,0.000014035558,0.0018948788,0.5006127,0.005012433,0.104973644,0.028068213,0.33402663],"study_design_scores_gemma":[0.004841806,0.000105174855,0.019696869,0.00021612609,0.00018947075,0.00021218049,0.0028405876,0.295616,0.0009112956,0.023867773,0.65075487,0.0007478186],"about_ca_topic_score_codex":0.000016783253,"about_ca_topic_score_gemma":0.000018919005,"teacher_disagreement_score":0.6226867,"about_ca_system_score_codex":0.00009148893,"about_ca_system_score_gemma":0.000029953626,"threshold_uncertainty_score":0.49227095},"labels":[],"label_agreement":null},{"id":"W1975238892","doi":"10.1016/j.ijpe.2011.08.027","title":"An empirical study on coalition formation and cost/savings allocation","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Key (lock); Computer science; Identification (biology); Business model; Operations research; Business; Marketing; Engineering; Computer security","score_opus":0.07610290364498352,"score_gpt":0.29511798300599357,"score_spread":0.21901507936101006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975238892","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":[0.9921569,0.000003790123,0.0022404185,0.0022374596,0.0018875119,0.00017229031,8.373333e-7,0.000019339708,0.0012814032],"genre_scores_gemma":[0.9972037,0.000015303076,0.00022931055,0.0006457555,0.0018508447,0.000005709693,0.000023420613,0.000009653112,0.000016273838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992043,0.000012962101,0.00044941186,0.00013604618,0.00012935697,0.00006795694],"domain_scores_gemma":[0.99840385,0.0000064717174,0.00065445254,0.0000874415,0.0008379659,0.000009817433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057504134,0.00008768726,0.00009872953,0.000399688,0.00007034036,0.0001721732,0.00014813605,0.000039922663,0.00004912921],"category_scores_gemma":[0.00008220503,0.00008447292,0.000024635196,0.000100441706,0.000027271977,0.0050015147,0.000018786333,0.00010932844,0.00002099707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004808313,0.008023956,0.5532625,0.000116853225,0.0006173619,0.000033224573,0.0067620184,0.0072923936,0.008538933,0.1818471,0.008669538,0.2200278],"study_design_scores_gemma":[0.002114113,0.00040916528,0.9456121,0.0000716949,0.000093001465,0.0001667217,0.0045973775,0.006916902,0.003641082,0.020545226,0.015451004,0.0003816214],"about_ca_topic_score_codex":0.000037251077,"about_ca_topic_score_gemma":0.000022798824,"teacher_disagreement_score":0.3923496,"about_ca_system_score_codex":0.00007946148,"about_ca_system_score_gemma":0.000020596019,"threshold_uncertainty_score":0.36259773},"labels":[],"label_agreement":null},{"id":"W1978402429","doi":"10.1016/j.ijpe.2011.01.003","title":"An integrated product planning model for pricing and bundle selection using Markov decision processes and data envelope analysis","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Markov decision process; Bundle; Computer science; Time horizon; Envelope (radar); Mathematical optimization; Operations research; Product (mathematics); Markov chain; State space; Selection (genetic algorithm); Markov process; Markov model; Dynamic programming; Mathematics; Artificial intelligence; Algorithm; Machine learning","score_opus":0.10142203116188374,"score_gpt":0.3050685451783738,"score_spread":0.20364651401649003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978402429","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":[0.7944823,0.00007839101,0.20428148,0.00020773472,0.0007140884,0.00015434617,0.0000055018154,0.0000148142835,0.000061377796],"genre_scores_gemma":[0.9630639,0.00008353018,0.035454623,0.00013797716,0.00115061,0.0000028666532,0.00004793234,0.000015793938,0.00004276779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902934,0.0000072230023,0.00042498004,0.00032874226,0.00010725452,0.000102465165],"domain_scores_gemma":[0.9985741,0.00001639138,0.00057409,0.00014453681,0.00067379896,0.000017075397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009018125,0.000115161565,0.00017425473,0.0007677006,0.00011119009,0.00027764085,0.00030887136,0.000027116905,0.000021207175],"category_scores_gemma":[0.00028980023,0.00010846305,0.000029822642,0.00020252608,0.000032714113,0.0035830173,0.00012231489,0.00007778682,5.216426e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029097397,0.001025138,0.30910382,0.00044798278,0.0038451657,0.000006270704,0.002590712,0.5188294,0.0017190414,0.0030699673,0.0021473903,0.15430538],"study_design_scores_gemma":[0.0003700013,0.000028893588,0.003947056,0.000052147978,0.00036403642,0.000029281206,0.00054323924,0.9888561,0.00033114292,0.0022746993,0.0030453168,0.00015811008],"about_ca_topic_score_codex":0.000074297466,"about_ca_topic_score_gemma":0.00008889625,"teacher_disagreement_score":0.47002667,"about_ca_system_score_codex":0.00007792701,"about_ca_system_score_gemma":0.000057932375,"threshold_uncertainty_score":0.4422995},"labels":[],"label_agreement":null},{"id":"W1980755888","doi":"10.1016/j.ijpe.2014.02.005","title":"On the relationship between business environment and competitive priorities: The role of performance frontiers","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Dynamism; Frontier; Asset (computer security); Industrial organization; Competition (biology); Flexibility (engineering); Business; Quality (philosophy); Competitive advantage; Efficient frontier; Economics; Marketing; Finance; Computer science; Portfolio","score_opus":0.01044769403801092,"score_gpt":0.1883378575308916,"score_spread":0.1778901634928807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980755888","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":[0.9864023,0.00004236691,0.00052581914,0.011642874,0.0007079698,0.00011693782,0.0000018267054,0.0000032755236,0.0005566734],"genre_scores_gemma":[0.99823904,0.000061021772,0.00012014914,0.00019798311,0.0013154064,0.0000031942116,0.0000031521547,0.000008617516,0.000051424955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993214,0.000020268153,0.0003288526,0.000103367536,0.00015672905,0.000069375856],"domain_scores_gemma":[0.9989627,0.00020121639,0.00055652007,0.00012802635,0.00014562294,0.0000058956834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071153085,0.000081515434,0.00011203147,0.00010885783,0.000110524634,0.00007317027,0.00027388884,0.00002527715,0.000025252923],"category_scores_gemma":[0.0005046614,0.00005530595,0.00003634097,0.000051947107,0.00022696756,0.0006659523,0.0000851799,0.00013373811,0.000009088322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006352982,0.000034777542,0.8837231,0.000018075812,0.00005066795,1.0344896e-7,0.00010556955,0.006566848,0.000014562274,0.10396501,0.00014829461,0.005309508],"study_design_scores_gemma":[0.00018282115,0.000013398174,0.915222,0.000033669166,0.000027381582,0.0000063128628,0.0007518479,0.00040761154,0.00013936395,0.03933977,0.043807887,0.00006797671],"about_ca_topic_score_codex":0.000012472755,"about_ca_topic_score_gemma":0.0000010803153,"teacher_disagreement_score":0.06462524,"about_ca_system_score_codex":0.00012990797,"about_ca_system_score_gemma":0.000012858048,"threshold_uncertainty_score":0.22553112},"labels":[],"label_agreement":null},{"id":"W1982545669","doi":"10.1016/s0925-5273(00)00063-3","title":"Forecasting practices of Canadian firms: Survey results and comparisons","year":2001,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Product (mathematics); Variation (astronomy); Marketing; Service (business); Business; Survey data collection; Econometrics; Operations research; Computer science; Economics; Statistics; Mathematics","score_opus":0.40193023602583144,"score_gpt":0.4254351724845203,"score_spread":0.02350493645868884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982545669","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":[0.9840068,0.000045099816,0.00087095296,0.012160918,0.0009309506,0.00006752093,0.00007972816,0.00000466049,0.0018333545],"genre_scores_gemma":[0.98919165,0.0003128872,0.0098351585,0.000045186407,0.0003316636,9.917987e-7,0.000007934878,0.0000050287567,0.00026947027],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984779,0.00006862368,0.0009606464,0.0001753496,0.00022799044,0.00008949163],"domain_scores_gemma":[0.9951388,0.0005701999,0.0026220512,0.00016857406,0.0014045985,0.000095766605],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004385377,0.00006206205,0.00016338336,0.00083813095,0.00006809256,0.000130402,0.0004797342,0.00003643007,0.0000255187],"category_scores_gemma":[0.01017613,0.000053791424,0.000048286838,0.00027920172,0.000077742625,0.00052035635,0.000046489487,0.0001256618,0.00000390933],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010827297,0.00029844153,0.66453993,0.000005244847,0.0003086567,0.000021297346,0.0015963853,0.02025209,0.0004546301,0.0055931113,0.119042404,0.18680507],"study_design_scores_gemma":[0.0008218388,0.00024483577,0.27490568,0.00007195434,0.00002838671,0.0025529827,0.0012908812,0.028478464,0.002781804,0.021238597,0.6673162,0.00026835207],"about_ca_topic_score_codex":0.014365386,"about_ca_topic_score_gemma":0.04964463,"teacher_disagreement_score":0.5482738,"about_ca_system_score_codex":0.00007864546,"about_ca_system_score_gemma":0.00018775462,"threshold_uncertainty_score":0.99816155},"labels":[],"label_agreement":null},{"id":"W1983810241","doi":"10.1016/j.ijpe.2009.05.023","title":"Facilitating multimodal logistics and enabling information systems connectivity through wireless vehicular networks","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"RFID technology advancements","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Université de Sherbrooke","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Dedicated short-range communications; Computer network; UMTS frequency bands; Visibility; WiMAX; Reliability (semiconductor); Wireless; Service (business); Telecommunications; Scalability; Information and Communications Technology; Business","score_opus":0.010006489139093798,"score_gpt":0.22807121883644027,"score_spread":0.21806472969734647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983810241","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":[0.706481,0.0002560912,0.28992572,0.00024552408,0.0028945152,0.00007356284,0.0000049320656,0.00004508503,0.00007357113],"genre_scores_gemma":[0.9956088,0.0007314094,0.0032220327,0.000035915462,0.00038260937,0.0000017094038,0.0000066488383,0.0000058067494,0.0000050693466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926144,0.000013468811,0.0004653214,0.00007698499,0.00008184092,0.00010092504],"domain_scores_gemma":[0.99932986,0.000042541487,0.000268175,0.000076405246,0.0002588126,0.00002419405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027048768,0.000093231065,0.00014513748,0.0001307544,0.000039404687,0.00007002105,0.00013005928,0.00007416528,0.0000014285383],"category_scores_gemma":[0.00019711631,0.000101928985,0.00002913167,0.000039961775,0.000034414377,0.0014950546,0.000015069643,0.0002258259,0.000002201815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001859024,0.000011858417,0.00046342338,0.000007921346,0.00008109012,0.0000020494444,0.00018046635,0.96310747,0.00043761844,0.0020350425,0.000043221673,0.033611283],"study_design_scores_gemma":[0.000767974,0.00008556534,0.0015519519,0.000078719786,0.000020431606,0.00040985117,0.0007465581,0.98516023,0.0032172024,0.002594935,0.0051574125,0.00020914455],"about_ca_topic_score_codex":0.000003912557,"about_ca_topic_score_gemma":0.000001268942,"teacher_disagreement_score":0.2891278,"about_ca_system_score_codex":0.00021919694,"about_ca_system_score_gemma":0.0000129403115,"threshold_uncertainty_score":0.41565433},"labels":[],"label_agreement":null},{"id":"W1985556047","doi":"10.1016/j.ijpe.2013.01.031","title":"Joint optimal lot sizing and production control policy in an unreliable and imperfect manufacturing system","year":2013,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Sizing; Computer science; Holding cost; Mathematical optimization; Inventory control; Operations research; Safety stock; Total cost; Imperfect; Production (economics); Minification; Robustness (evolution); Control (management); Reliability engineering; Supply chain; Economics; Engineering; Mathematics; Microeconomics; Business","score_opus":0.013574544422614009,"score_gpt":0.2124004088685589,"score_spread":0.19882586444594488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985556047","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":[0.98971343,0.00007499776,0.00014030274,0.006943449,0.002530721,0.00023892171,5.6288746e-7,0.00001908747,0.00033855657],"genre_scores_gemma":[0.9944712,0.00011010813,0.00023836456,0.00031687203,0.004742288,0.000009751729,0.0000027063197,0.000015506854,0.00009323625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990595,0.000014802739,0.00046185666,0.00021911197,0.00010739389,0.00013733839],"domain_scores_gemma":[0.9992509,0.000008989157,0.0004355833,0.00009177154,0.00019109005,0.000021680917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062152394,0.000118058626,0.00017548978,0.0006776542,0.000062027124,0.0004159103,0.00012586483,0.000031818046,0.000030366371],"category_scores_gemma":[0.000102641745,0.000114122966,0.000035260833,0.000050670937,0.00003802621,0.003231717,0.00006725575,0.00012082308,0.000013990539],"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":[0.0013661146,0.0010996026,0.19816706,0.0015700826,0.0013575454,0.000080156904,0.0020792738,0.40693754,0.03189133,0.06640928,0.0078124227,0.2812296],"study_design_scores_gemma":[0.0154181905,0.0006408756,0.49970958,0.001992391,0.00041086558,0.0023018243,0.027127737,0.31266928,0.03418961,0.019630177,0.08313261,0.002776864],"about_ca_topic_score_codex":0.00041713912,"about_ca_topic_score_gemma":0.00003290228,"teacher_disagreement_score":0.30154252,"about_ca_system_score_codex":0.000242679,"about_ca_system_score_gemma":0.00001971075,"threshold_uncertainty_score":0.46537992},"labels":[],"label_agreement":null},{"id":"W1985916108","doi":"10.1016/j.ijpe.2011.10.004","title":"Dynamic pricing models for ERP systems under network externality","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; HEC Montréal; Polytechnique Montréal; Université Laval","funders":"","keywords":"Enterprise resource planning; Automotive industry; Computer science; Task (project management); Network effect; Position (finance); Software; Dynamic pricing; Resource (disambiguation); Process management; Business; Industrial organization; Knowledge management; Marketing; Systems engineering","score_opus":0.05093026052285367,"score_gpt":0.22683186023318475,"score_spread":0.1759015997103311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985916108","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":[0.9360176,0.00008026609,0.044600867,0.00035839816,0.0128302565,0.00017867069,0.000004046379,0.00002101348,0.0059088813],"genre_scores_gemma":[0.99351174,0.000054561246,0.0017453566,0.0003601371,0.00405212,0.0000050893273,0.000010253183,0.000022381104,0.00023837856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989598,0.0000010752831,0.0006419797,0.00016335114,0.000075399534,0.00015843277],"domain_scores_gemma":[0.9984327,0.00001527579,0.0009829527,0.000109072775,0.0004444342,0.00001554148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061937346,0.00011376365,0.00019298297,0.00017888556,0.00005903839,0.00047187906,0.00033425924,0.00004393657,0.000025154191],"category_scores_gemma":[0.00003935175,0.00011000638,0.00013700996,0.00003970741,0.000025461695,0.006901582,0.000062511346,0.00008756522,0.000023088982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003115509,0.00010252029,0.0017084794,0.000035830224,0.00029710744,0.0000020633008,0.00005330863,0.67682487,0.00001790887,0.3133232,0.0010592756,0.006263856],"study_design_scores_gemma":[0.00078236934,0.000031636435,0.0026519056,0.00009590897,0.00006397055,0.00012405831,0.00061900925,0.2789826,0.000034899997,0.70393085,0.012378691,0.0003041065],"about_ca_topic_score_codex":0.00008306471,"about_ca_topic_score_gemma":0.00004462766,"teacher_disagreement_score":0.3978423,"about_ca_system_score_codex":0.0001786886,"about_ca_system_score_gemma":0.000034116518,"threshold_uncertainty_score":0.50034803},"labels":[],"label_agreement":null},{"id":"W1987133618","doi":"10.1016/j.ijpe.2014.12.025","title":"Supply chain coordination contracts with inventory level and retail price dependent demand","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Microeconomics; Bargaining power; Supply chain; Stock (firearms); Price elasticity of demand; Economics; Business; Industrial organization; Marketing","score_opus":0.022317411563045016,"score_gpt":0.20726562813112426,"score_spread":0.18494821656807925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987133618","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":[0.97488433,0.000075759686,0.0044545373,0.0133837275,0.0030125526,0.00017858394,0.0000016432521,0.000019840332,0.0039890204],"genre_scores_gemma":[0.9940734,0.00007686789,0.0003314971,0.0011857359,0.0033218772,0.000004431225,0.000010134477,0.000016479722,0.0009796117],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990625,0.00001721317,0.000399997,0.00018874953,0.00021164963,0.000119918936],"domain_scores_gemma":[0.998631,0.000020423562,0.0007290319,0.000100746045,0.0004968737,0.000021942991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010846218,0.00012096184,0.00015885253,0.00038073104,0.00006873254,0.00025365013,0.00022340959,0.00003540672,0.00009251034],"category_scores_gemma":[0.00020662986,0.00010907945,0.000042200256,0.000057133166,0.00005456307,0.0016860786,0.00006640598,0.00012082118,0.00001876062],"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":[0.0025463018,0.0012078857,0.3962554,0.0003568959,0.0021357096,0.00006817642,0.0009812729,0.03713589,0.0035023894,0.3146756,0.04182871,0.19930576],"study_design_scores_gemma":[0.0059305425,0.00021991362,0.09546764,0.0002636859,0.00022031412,0.00037505376,0.0011172255,0.031247495,0.0019634347,0.015334493,0.84711,0.0007502485],"about_ca_topic_score_codex":0.00003238508,"about_ca_topic_score_gemma":0.00006844769,"teacher_disagreement_score":0.8052812,"about_ca_system_score_codex":0.00013163795,"about_ca_system_score_gemma":0.00002559469,"threshold_uncertainty_score":0.44481307},"labels":[],"label_agreement":null},{"id":"W1987898607","doi":"10.1016/s0925-5273(99)00024-9","title":"Evaluating shop floor input control using rapid modeling","year":2000,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bottleneck; Computer science; Profitability index; Queueing theory; Inventory control; Throughput; Decomposition; Control (management); Interval (graph theory); Operations research; Mathematical optimization; Industrial engineering; Engineering","score_opus":0.04147492571356109,"score_gpt":0.2909242925847184,"score_spread":0.24944936687115732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987898607","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":[0.8826865,0.00024353049,0.11203076,0.0004094879,0.004279203,0.000055613553,0.0000045620145,0.000043147375,0.00024718128],"genre_scores_gemma":[0.9093982,0.0004721216,0.087352745,0.00008238101,0.0025861713,0.0000013457731,0.0000037758693,0.000028056005,0.0000751925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990431,0.00002386285,0.00056818064,0.000110904555,0.00014568471,0.00010823353],"domain_scores_gemma":[0.9993392,0.000014817944,0.00013425144,0.00008759578,0.00037002,0.000054121298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005300426,0.000101088095,0.00015171395,0.000189289,0.000043107982,0.00008141512,0.00018938807,0.00004756946,0.0004552787],"category_scores_gemma":[0.00009469623,0.00011004574,0.00008633419,0.000053397594,0.000014480653,0.0004942493,0.000006102918,0.00017313701,0.000024682311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041459054,0.000014254894,0.000030216934,0.0000023988985,0.00012919554,0.0000013594464,0.00010932307,0.9216749,0.00051468064,0.000012762825,0.000017028013,0.077452436],"study_design_scores_gemma":[0.0006499347,0.000021612315,0.000011453206,0.000028609691,0.00002578337,0.00023441727,0.00006417342,0.99735457,0.0010687564,0.00019130365,0.00024444543,0.000104972074],"about_ca_topic_score_codex":0.0000026651016,"about_ca_topic_score_gemma":5.931717e-7,"teacher_disagreement_score":0.077347465,"about_ca_system_score_codex":0.00021816109,"about_ca_system_score_gemma":0.00005963954,"threshold_uncertainty_score":0.49849826},"labels":[],"label_agreement":null},{"id":"W1988139019","doi":"10.1016/j.ijpe.2006.02.013","title":"Using the learning curve to maximize IT productivity: A decision analysis model for timing software upgrades","year":2006,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Learning curve; Productivity; Upgrade; Computer science; Software; Vendor; Software development; Business; Marketing; Economics; Operating system","score_opus":0.06354984025068575,"score_gpt":0.2824998759180996,"score_spread":0.21895003566741386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988139019","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":[0.7303786,0.000014446802,0.26594323,0.002143004,0.0012093192,0.00013527242,0.0000036305864,0.0000124931385,0.0001600039],"genre_scores_gemma":[0.97678024,0.0000086601485,0.0183227,0.0003741786,0.004046664,0.0000053490007,0.000018093326,0.000023314564,0.00042082238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988813,0.0000017566769,0.00059791445,0.00023395027,0.00012713607,0.00015798814],"domain_scores_gemma":[0.99841,0.000054405915,0.0008020165,0.0001279879,0.00059243705,0.000013162273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008092973,0.00013096111,0.0002313296,0.00061592227,0.00016654331,0.0009372345,0.0003343378,0.000035645928,0.000012726214],"category_scores_gemma":[0.00052810606,0.000108917404,0.00025753202,0.00019912265,0.000026181884,0.004097891,0.00009875198,0.00012143514,0.000009648715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016399163,0.00004882359,0.0054757013,0.000005645896,0.00021555922,5.8970727e-7,0.00004102376,0.9789424,0.000056199504,0.0028678398,0.0009770225,0.011205185],"study_design_scores_gemma":[0.0004076005,0.000014057617,0.0010761104,0.000033234206,0.00027900824,0.00003462335,0.0003718275,0.9119147,0.0001528914,0.06373868,0.021743461,0.00023382153],"about_ca_topic_score_codex":0.000058249367,"about_ca_topic_score_gemma":0.00017160573,"teacher_disagreement_score":0.24762052,"about_ca_system_score_codex":0.00018886078,"about_ca_system_score_gemma":0.00004538907,"threshold_uncertainty_score":0.90377736},"labels":[],"label_agreement":null},{"id":"W1988428279","doi":"10.1016/j.ijpe.2011.03.005","title":"Supplier selection-order allocation: A two-stage multiple criteria dynamic programming approach","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":234,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Computer science; Analytic hierarchy process; Supply chain; Selection (genetic algorithm); Operations research; Ranking (information retrieval); Mathematical optimization; Dynamic programming; Order (exchange); Supply chain management; Process (computing); Function (biology); Business; Artificial intelligence; Mathematics; Algorithm","score_opus":0.14827880180868658,"score_gpt":0.4015870338649926,"score_spread":0.25330823205630604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988428279","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":[0.7428302,0.00006794505,0.24225129,0.0014711317,0.011279149,0.00038330173,0.000023017063,0.000048466005,0.0016454658],"genre_scores_gemma":[0.80959195,0.000028020962,0.18767056,0.00012593028,0.001004393,0.00001442912,0.000008962571,0.000029383526,0.0015263809],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960958,0.000188578,0.0019454339,0.00061755383,0.0008880484,0.00026458612],"domain_scores_gemma":[0.9940334,0.00023447884,0.0017306743,0.000432508,0.003417809,0.00015114613],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038381515,0.00023467805,0.00038731392,0.0010701633,0.00015119015,0.00060456374,0.0014337657,0.00009482794,0.0014823595],"category_scores_gemma":[0.003458237,0.00020803872,0.00022900377,0.00043785933,0.00012466144,0.0019465644,0.00017469216,0.00032791914,0.00013349915],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030457776,0.0028112996,0.075524576,0.000027747219,0.0012650266,0.00006195404,0.012918044,0.06483227,0.014933201,0.00966107,0.008042651,0.80687636],"study_design_scores_gemma":[0.008238188,0.0005804558,0.052725065,0.00014624478,0.00015819023,0.006149021,0.010640307,0.4947329,0.021162571,0.037979204,0.36554313,0.0019447352],"about_ca_topic_score_codex":0.00003657327,"about_ca_topic_score_gemma":0.0000850725,"teacher_disagreement_score":0.80493164,"about_ca_system_score_codex":0.00036532857,"about_ca_system_score_gemma":0.00023955086,"threshold_uncertainty_score":0.9994304},"labels":[],"label_agreement":null},{"id":"W1991541520","doi":"10.1016/j.ijpe.2010.01.023","title":"An economic order quantity (EOQ) for items with imperfect quality and inspection errors","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":207,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Imperfect; Commit; Computer science; Economic order quantity; Quality (philosophy); Order (exchange); Process (computing); Production (economics); Reliability engineering; Operations research; Mathematical optimization; Mathematics; Economics; Microeconomics; Business; Engineering","score_opus":0.027034513488850064,"score_gpt":0.28957660402171165,"score_spread":0.2625420905328616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991541520","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":[0.98762524,0.000007953656,0.0011139471,0.0035963182,0.0070053344,0.00016750109,0.0000039320503,0.000026527367,0.0004532629],"genre_scores_gemma":[0.9924959,0.000031781066,0.001050334,0.0004177972,0.0059025995,0.000007111805,0.000015724105,0.00001734544,0.00006141732],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991994,0.000007876056,0.0004045574,0.00020750686,0.000082336934,0.00009832078],"domain_scores_gemma":[0.9988002,0.000016538972,0.0006399985,0.00012805649,0.0003969461,0.000018270466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009194977,0.00010694308,0.000148694,0.00030271665,0.000096562406,0.00029249903,0.0002052825,0.000039312017,0.00008037233],"category_scores_gemma":[0.000102543396,0.00009741825,0.0000535758,0.000039577768,0.00006756076,0.002397954,0.000031045558,0.00013576601,0.000011013533],"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":[0.0032722247,0.000981978,0.4992176,0.00021449903,0.0012332704,0.0000065642826,0.00048656,0.032020945,0.014270885,0.38880387,0.012091469,0.047400136],"study_design_scores_gemma":[0.006919695,0.0005412305,0.2685725,0.00007411107,0.00026582443,0.00030579747,0.0027102167,0.061824694,0.004639044,0.026780369,0.62608325,0.0012832476],"about_ca_topic_score_codex":0.0002267235,"about_ca_topic_score_gemma":0.0011718251,"teacher_disagreement_score":0.6139918,"about_ca_system_score_codex":0.00009161309,"about_ca_system_score_gemma":0.0000410316,"threshold_uncertainty_score":0.39726007},"labels":[],"label_agreement":null},{"id":"W1991768411","doi":"10.1016/j.ijpe.2015.01.009","title":"On inventory control of product recovery systems subject to environmental mechanisms","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Carbon footprint; Allowance (engineering); Operations research; Carbon tax; Order (exchange); Emissions trading; Dynamic pricing; Computer science; Environmental economics; Time horizon; Process (computing); Stochastic programming; Inventory theory; Optimal decision; Legislation; Inventory control; Greenhouse gas; Economics; Operations management; Mathematical optimization; Microeconomics; Engineering","score_opus":0.014113440605049179,"score_gpt":0.2035249169523572,"score_spread":0.189411476347308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991768411","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":[0.9681099,0.00010627121,0.007430649,0.005843855,0.016459836,0.0005670042,0.000008797783,0.000020512272,0.0014531818],"genre_scores_gemma":[0.99504757,0.000016747534,0.00020246714,0.0007125852,0.0034126244,0.000010073704,0.000008029611,0.00002285619,0.00056707254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986789,0.00002246733,0.00060605136,0.00021485245,0.00033926094,0.00013844219],"domain_scores_gemma":[0.9984883,0.000019474806,0.00089102035,0.00018260097,0.00038935474,0.000029242023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013612362,0.0001315912,0.00022403109,0.00075808854,0.000026554759,0.00012716453,0.00039422326,0.00002786532,0.000045921246],"category_scores_gemma":[0.00047517073,0.00013235063,0.0000958964,0.00008485978,0.000027035976,0.0010454509,0.00009078295,0.00010378138,0.000087382134],"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":[0.002657601,0.00070875883,0.005985727,0.00011107602,0.00092315685,0.000046230773,0.00024253779,0.8615965,0.0023316767,0.080564626,0.035387285,0.009444773],"study_design_scores_gemma":[0.015500619,0.0018360197,0.008300427,0.0007279132,0.00067615643,0.0004758038,0.019975998,0.030003645,0.0151451705,0.21324974,0.6917947,0.0023137913],"about_ca_topic_score_codex":0.000056596236,"about_ca_topic_score_gemma":0.0000045065935,"teacher_disagreement_score":0.8315929,"about_ca_system_score_codex":0.00063320127,"about_ca_system_score_gemma":0.00006369989,"threshold_uncertainty_score":0.53971016},"labels":[],"label_agreement":null},{"id":"W1993058208","doi":"10.1016/j.ijpe.2009.10.011","title":"Economic order quantity model for items with imperfect quality with learning in inspection","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imperfect; Economic order quantity; Quality (philosophy); Order (exchange); Computer science; Simple (philosophy); Transfer of learning; Production (economics); Economic production quantity; Work (physics); Transfer (computing); Economic model; Operations research; Mathematical economics; Economics; Econometrics; Artificial intelligence; Mathematics; Microeconomics; Business; Marketing; Engineering","score_opus":0.027049764373165773,"score_gpt":0.26907148505298295,"score_spread":0.24202172067981717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993058208","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":[0.9800218,0.000012983707,0.013024721,0.004602351,0.0010798543,0.00019257226,0.0000010545557,0.0000287104,0.0010359708],"genre_scores_gemma":[0.99636555,0.000041264942,0.0010321804,0.00044777145,0.0018517759,0.000005775225,0.0000108025215,0.00001326218,0.00023159862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914455,0.000008906254,0.00043602986,0.00019263035,0.00010024244,0.000117624244],"domain_scores_gemma":[0.9989133,0.000013220692,0.0006584158,0.000082025595,0.00032305537,0.00000997683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007572105,0.000111525376,0.00017338667,0.00042071874,0.00006326868,0.00018405043,0.00017591272,0.000028654831,0.000019317476],"category_scores_gemma":[0.000071918694,0.0000968144,0.000054470816,0.000073337884,0.000027145197,0.001837236,0.000017295497,0.0001401196,0.000008568884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010833485,0.00013961807,0.046586644,0.000018022796,0.00009864881,0.0000018295168,0.0001035808,0.9223629,0.00010951039,0.02358955,0.00073827355,0.0051680473],"study_design_scores_gemma":[0.005372013,0.00041735586,0.060855437,0.00014305429,0.000082015504,0.00007022339,0.0012081319,0.88528115,0.00043353657,0.010669693,0.03484261,0.0006247938],"about_ca_topic_score_codex":0.00010442356,"about_ca_topic_score_gemma":0.0007274514,"teacher_disagreement_score":0.03708179,"about_ca_system_score_codex":0.00032944712,"about_ca_system_score_gemma":0.00006700863,"threshold_uncertainty_score":0.39479765},"labels":[],"label_agreement":null},{"id":"W1994668406","doi":"10.1016/s0925-5273(03)00027-6","title":"A hybrid genetic algorithm for the dynamic plant layout problem","year":2003,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Simulated annealing; Computer science; Heuristics; Genetic algorithm; Mathematical optimization; Algorithm; Dynamic programming; Machine learning; Mathematics","score_opus":0.008190309288441113,"score_gpt":0.21247971112807815,"score_spread":0.20428940183963704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994668406","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":[0.008895371,0.00025027935,0.985966,0.00030972858,0.0043054004,0.00011845761,0.00003060061,0.00002064159,0.00010352268],"genre_scores_gemma":[0.66807956,0.0017045048,0.32904717,0.000047333437,0.00080832257,0.000015844447,0.000016641388,0.00003333675,0.0002473261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995097,0.000006990681,0.00027703072,0.00007313108,0.00005404032,0.000079095356],"domain_scores_gemma":[0.99957865,0.000042249038,0.00014134559,0.00007093219,0.00014440567,0.000022390112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016077807,0.000070627706,0.00007806206,0.000073995245,0.000037160702,0.00003855913,0.00014067526,0.00001782324,0.0000092656865],"category_scores_gemma":[0.000060474285,0.00005826737,0.000051614636,0.000012276911,0.000019046049,0.00013019645,0.000005449562,0.00009049295,0.0000024325673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007177962,0.00001044814,0.000005907876,0.0000034442664,0.00009455036,0.0000011089326,0.000033367567,0.957677,0.000021729064,0.0004549871,0.0003976795,0.041292585],"study_design_scores_gemma":[0.000568175,0.000052106992,0.00013303099,0.000019007575,0.000044371143,0.0009122941,0.00007431872,0.89800906,0.0076587945,0.020826606,0.07153528,0.00016692904],"about_ca_topic_score_codex":6.2376876e-7,"about_ca_topic_score_gemma":0.0000015220218,"teacher_disagreement_score":0.65918416,"about_ca_system_score_codex":0.00014331126,"about_ca_system_score_gemma":0.000025452504,"threshold_uncertainty_score":0.23760745},"labels":[],"label_agreement":null},{"id":"W1996134260","doi":"10.1016/j.ijpe.2007.02.034","title":"Mass customization: A method for market segmentation and choice menu design","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Mass customization; Flexibility (engineering); Personalization; Computer science; Market segmentation; Core (optical fiber); Service (business); Product (mathematics); Range (aeronautics); Marketing; Business; World Wide Web; Mathematics; Statistics; Telecommunications","score_opus":0.021558842530594327,"score_gpt":0.2724251757690303,"score_spread":0.250866333238436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996134260","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":[0.025958266,0.00006470343,0.9617439,0.0055515724,0.0050178072,0.00036166987,0.0000014250268,0.000024800149,0.0012758463],"genre_scores_gemma":[0.3081713,0.00034670922,0.6625052,0.0026728401,0.022973955,0.00003075432,0.000084791594,0.00008193506,0.0031325107],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990336,0.000012127296,0.0005213397,0.0001820275,0.00013463298,0.0001163223],"domain_scores_gemma":[0.9982297,0.000085111235,0.00078510144,0.000063054475,0.00082282606,0.000014221182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023707193,0.00010627558,0.00013605965,0.0004425879,0.00008482268,0.00019787811,0.00016349215,0.000044464174,0.00005970831],"category_scores_gemma":[0.00049931015,0.000108403656,0.000047596284,0.00011148519,0.000020094845,0.0018747066,0.000027262882,0.00006738553,0.0000051015168],"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":[0.005474829,0.00042136278,0.031779878,0.00024262989,0.0014350022,0.000012556726,0.00078343955,0.062228065,0.030473314,0.029968748,0.13242556,0.70475465],"study_design_scores_gemma":[0.007077826,0.000094142335,0.017599238,0.00012751849,0.00038292145,0.00026064308,0.0009902829,0.08695493,0.039150372,0.043307204,0.8030893,0.0009655815],"about_ca_topic_score_codex":0.0000051013703,"about_ca_topic_score_gemma":0.000008397158,"teacher_disagreement_score":0.70378906,"about_ca_system_score_codex":0.00013940198,"about_ca_system_score_gemma":0.000045081077,"threshold_uncertainty_score":0.44205728},"labels":[],"label_agreement":null},{"id":"W1999615132","doi":"10.1016/j.ijpe.2008.08.006","title":"Lot sizing with learning, forgetting and entropy cost","year":2008,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Forgetting; Sizing; Computer science; Entropy (arrow of time); Procurement; Mathematical optimization; Operations research; Industrial engineering; Economics; Mathematics; Engineering","score_opus":0.019680737955388862,"score_gpt":0.20477206726271863,"score_spread":0.18509132930732977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999615132","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":[0.9897299,0.00006857179,0.00093756686,0.0046357713,0.001984754,0.000093579,2.1779486e-7,0.000019252351,0.0025304041],"genre_scores_gemma":[0.9939778,0.0002499598,0.00060706155,0.0006242337,0.0038303623,0.0000022187694,0.000004128508,0.00001458761,0.00068967015],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993599,0.000005605578,0.00028213012,0.00012719526,0.00012781855,0.00009732204],"domain_scores_gemma":[0.9991185,0.000011390926,0.00052007707,0.000052477044,0.00028564045,0.000011927353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029722284,0.00008402519,0.00010870104,0.000261726,0.000110164976,0.0001269733,0.00014467006,0.000017134835,0.000072105664],"category_scores_gemma":[0.00011178952,0.0000754748,0.000038806185,0.0000488773,0.000053804855,0.0013328075,0.000060010454,0.00012677223,0.000019281568],"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":[0.0010128027,0.00039791112,0.777238,0.0001077187,0.0010673117,0.00018353066,0.0010289338,0.056211814,0.0012303486,0.05212019,0.019229626,0.090171784],"study_design_scores_gemma":[0.0014699406,0.00006303639,0.01754895,0.0000777743,0.000049151175,0.00059281645,0.0010667389,0.0065197367,0.0007167828,0.0012953549,0.97034186,0.00025788276],"about_ca_topic_score_codex":0.000019976966,"about_ca_topic_score_gemma":0.000007422347,"teacher_disagreement_score":0.9511122,"about_ca_system_score_codex":0.00007875065,"about_ca_system_score_gemma":0.00001923005,"threshold_uncertainty_score":0.30777732},"labels":[],"label_agreement":null},{"id":"W2001896690","doi":"10.1016/j.ijpe.2003.10.019","title":"A numerical comparison of three potential learning and forgetting models","year":2003,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Forgetting; Computer science; PID controller; Learning curve; Process (computing); Task (project management); Artificial intelligence; Production (economics); Range (aeronautics); Cognition; Cognitive psychology; Machine learning; Psychology; Engineering; Control engineering","score_opus":0.06215414017068619,"score_gpt":0.38915258140144016,"score_spread":0.32699844123075394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001896690","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":[0.7970899,0.00016627753,0.19672462,0.0004960417,0.0030179291,0.000030053408,4.5476196e-7,0.0000069098974,0.002467835],"genre_scores_gemma":[0.9795034,0.000011543266,0.019749714,0.00001994411,0.00046071934,7.214154e-7,9.580481e-7,0.000011048348,0.00024194711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888486,0.00027167087,0.0005358017,0.00012717982,0.00009181443,0.00008869649],"domain_scores_gemma":[0.9987031,0.00006973671,0.0008204633,0.000053583244,0.00032634346,0.000026779715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017421803,0.00007091493,0.000194524,0.0001923013,0.000052537507,0.000021592981,0.00010444124,0.00004683192,0.000077234814],"category_scores_gemma":[0.00048314984,0.000070830254,0.00006092851,0.000045406414,0.000048941576,0.00017984492,0.000012900332,0.00042890268,0.0000023359307],"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":[0.0006437338,0.00051252276,0.2467268,0.000016270556,0.001124221,0.0000099815,0.010263865,0.36745974,0.0049759075,0.1222877,0.00049158843,0.24548768],"study_design_scores_gemma":[0.013892589,0.004362863,0.22070587,0.0005818442,0.00055178563,0.0118757365,0.02898379,0.20991133,0.04946967,0.2714386,0.1857983,0.0024276108],"about_ca_topic_score_codex":0.000011397298,"about_ca_topic_score_gemma":6.636149e-7,"teacher_disagreement_score":0.24306005,"about_ca_system_score_codex":0.000050849718,"about_ca_system_score_gemma":0.0000335556,"threshold_uncertainty_score":0.28883737},"labels":[],"label_agreement":null},{"id":"W2002317935","doi":"10.1016/j.ijpe.2011.09.009","title":"Implementing market segmentation using full-refund and no-refund customer returns policies in a dual-channel supply chain structure","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Winnipeg","funders":"","keywords":"Business; Dual (grammatical number); Supply chain; Profit (economics); Industrial organization; Channel (broadcasting); Supply chain management; Market segmentation; Microeconomics; Marketing; Economics; Computer science; Telecommunications","score_opus":0.03321347828015813,"score_gpt":0.25129339262925593,"score_spread":0.2180799143490978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002317935","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":[0.9916407,0.000047358302,0.000100112295,0.0008108004,0.003628183,0.00018593301,0.000009154307,0.000012061695,0.0035657187],"genre_scores_gemma":[0.99493873,0.00009936666,0.00080074306,0.00057071913,0.0032574686,0.0000032301305,0.00001676502,0.000023649687,0.00028932866],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986922,0.000019912213,0.0006555493,0.00022290282,0.000174805,0.00023462666],"domain_scores_gemma":[0.99866104,0.000010858861,0.0008238622,0.00010197216,0.0003826255,0.000019631794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007723693,0.00016437595,0.00018771208,0.00084841566,0.00008827587,0.00021544112,0.0001588123,0.000047006284,0.000735485],"category_scores_gemma":[0.00009472512,0.00016664731,0.000066243025,0.00011897138,0.000050777617,0.001955771,0.00017777349,0.00015529564,0.000010723215],"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":[0.0075709997,0.002157598,0.6405614,0.0013773888,0.0049093207,0.00032854674,0.020398296,0.026168583,0.06848209,0.07638475,0.08534509,0.06631594],"study_design_scores_gemma":[0.015354013,0.00039684633,0.30810592,0.0009796066,0.0008213356,0.0017929596,0.040674854,0.10058848,0.011593623,0.060412813,0.45568687,0.0035926967],"about_ca_topic_score_codex":0.0002762527,"about_ca_topic_score_gemma":0.00039505493,"teacher_disagreement_score":0.37034178,"about_ca_system_score_codex":0.00022329118,"about_ca_system_score_gemma":0.000026312828,"threshold_uncertainty_score":0.8053045},"labels":[],"label_agreement":null},{"id":"W2002981126","doi":"10.1016/j.ijpe.2012.06.024","title":"The importance of quality management for the success of environmental management initiatives","year":2012,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sustainability; Business; Environmental management system; Quality management; Quality (philosophy); Quality policy; Environmental resource management; Environmental quality; Process management; Marketing; Economics; Political science; Ecology","score_opus":0.018278820261730763,"score_gpt":0.266244055184515,"score_spread":0.24796523492278422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002981126","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":[0.98979527,0.00038907575,0.0008742067,0.005191327,0.0025765197,0.0004179131,0.000010927296,0.0000035545545,0.0007412278],"genre_scores_gemma":[0.99739534,0.0007146394,0.00043265763,0.0001932178,0.0011037478,0.000018576053,0.0000053552453,0.000011015425,0.00012546848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988,0.000014272793,0.00072855165,0.000105108964,0.00022069315,0.00013141584],"domain_scores_gemma":[0.9981311,0.00010087581,0.0014467733,0.0001986699,0.0001147005,0.0000079054125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015329759,0.000096083124,0.00013917527,0.00010145102,0.00010079326,0.000046499285,0.0005205497,0.000019839115,0.000047843805],"category_scores_gemma":[0.000075771895,0.00006651897,0.00012573686,0.000054463995,0.0002146039,0.0013159295,0.00019714206,0.000064451655,0.000003041132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007495995,0.0008334627,0.750827,0.0003352857,0.0013676746,0.0000011758907,0.00026830676,0.005507836,0.00020137399,0.19839564,0.0009638413,0.040548794],"study_design_scores_gemma":[0.0005359036,0.000010375752,0.9496607,0.000022252645,0.00010580037,0.0000065054924,0.0030572875,0.00008789326,0.00075508934,0.0063169957,0.039340965,0.000100188205],"about_ca_topic_score_codex":0.000007066232,"about_ca_topic_score_gemma":0.000004772295,"teacher_disagreement_score":0.19883373,"about_ca_system_score_codex":0.00018681798,"about_ca_system_score_gemma":0.000005786598,"threshold_uncertainty_score":0.2712565},"labels":[],"label_agreement":null},{"id":"W2004467223","doi":"10.1016/j.ijpe.2009.10.033","title":"Environmentally responsible inventory models: Non-classical models for a non-classical era","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":351,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Inventory theory; Carrying cost; Operations research; Inventory management; Inventory valuation; Cycle count; Economic shortage; Computer science; Perpetual inventory; Inventory analysis; Operations management; Total cost; Economics; Production (economics); Microeconomics; Engineering; Life-cycle assessment","score_opus":0.018125969646205286,"score_gpt":0.22916725831127366,"score_spread":0.21104128866506838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004467223","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":[0.8857616,0.000021580228,0.050299536,0.044037014,0.012758735,0.0007980267,0.0000097535885,0.000042538828,0.0062711807],"genre_scores_gemma":[0.9799008,0.00004362424,0.0066642677,0.0012166676,0.009445984,0.000044819237,0.000024423689,0.000054781147,0.002604635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983146,0.000010149389,0.00073207816,0.00035743395,0.00031269062,0.00027301212],"domain_scores_gemma":[0.99842435,0.000047594873,0.0007694084,0.0002573276,0.00046046008,0.000040860396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011227127,0.00020963112,0.000263103,0.000708849,0.000117642754,0.00035558362,0.000682584,0.0001026803,0.00012658184],"category_scores_gemma":[0.00020542473,0.00021735085,0.00023498615,0.00009255162,0.00011596707,0.003665095,0.00024265177,0.0004163484,0.000045843204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029660398,0.0014558106,0.0016103396,0.00018006806,0.001018416,0.00006593164,0.00050461496,0.60255194,0.009566938,0.26324186,0.0884799,0.028358173],"study_design_scores_gemma":[0.0017169919,0.00005192927,0.00042531439,0.000033993427,0.000084121355,0.00005149452,0.0006518142,0.66087073,0.0007064972,0.17849791,0.15657958,0.00032959573],"about_ca_topic_score_codex":0.00002037837,"about_ca_topic_score_gemma":0.000049571987,"teacher_disagreement_score":0.09413916,"about_ca_system_score_codex":0.00038179004,"about_ca_system_score_gemma":0.00017392026,"threshold_uncertainty_score":0.8863311},"labels":[],"label_agreement":null},{"id":"W2006554832","doi":"10.1016/j.ijpe.2006.12.054","title":"An order quantity negotiation model for distributor-driven supply chains","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Distributor; Negotiation; Supply chain; Profit (economics); Business; Computer science; Order (exchange); Process (computing); Industrial organization; Microeconomics; Production (economics); Operations research; Economics; Marketing; Mathematics; Finance","score_opus":0.0319480246618614,"score_gpt":0.2756564525079844,"score_spread":0.24370842784612298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006554832","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":[0.6770165,0.000013046489,0.3118866,0.004288319,0.0061156885,0.00021523997,0.000012770285,0.00002756763,0.00042426714],"genre_scores_gemma":[0.9884816,0.000030465042,0.0030503569,0.0008454376,0.0071782474,0.0000039761985,0.00010055249,0.000018592655,0.00029080594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998981,0.0000044486833,0.00052389706,0.00017878716,0.00016011053,0.00015176328],"domain_scores_gemma":[0.99820924,0.00001454485,0.0006716014,0.00012635837,0.0009581359,0.000020092726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094695314,0.00010796122,0.00013340464,0.00037181377,0.000082748185,0.00021707562,0.00035142596,0.00004282906,0.00006231588],"category_scores_gemma":[0.00018164657,0.00011181789,0.00010084494,0.00008177865,0.000029235734,0.0023484088,0.000040292445,0.00008774468,0.000015443504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009790557,0.0008371646,0.054829825,0.0000704817,0.0004156783,0.0000065484983,0.00033926213,0.5920299,0.0016506795,0.30091402,0.019771146,0.028156213],"study_design_scores_gemma":[0.0013330812,0.00005536671,0.01362728,0.000027225109,0.00006900501,0.000016192098,0.00051744736,0.88070524,0.0007902534,0.008815541,0.09375554,0.00028784847],"about_ca_topic_score_codex":0.00002656526,"about_ca_topic_score_gemma":0.00017159448,"teacher_disagreement_score":0.31146505,"about_ca_system_score_codex":0.000221596,"about_ca_system_score_gemma":0.000040749284,"threshold_uncertainty_score":0.45598012},"labels":[],"label_agreement":null},{"id":"W2006927518","doi":"10.1016/j.ijpe.2014.09.023","title":"Agricultural supply chain optimization and complexity: A comparison of analytic vs simulated solutions and policies","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Supply chain; Quality (philosophy); Computer science; Supply chain optimization; Risk analysis (engineering); Food security; Agriculture; Control (management); Key (lock); Food supply; Environmental economics; Industrial organization; Business; Supply chain management; Economics; Marketing; Artificial intelligence; Computer security","score_opus":0.041173641929513054,"score_gpt":0.2588509398905629,"score_spread":0.21767729796104984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006927518","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":[0.98730445,0.0000805375,0.00012669544,0.012001434,0.00035195317,0.00007760559,0.000022115242,0.000007867505,0.000027350385],"genre_scores_gemma":[0.9986899,0.00010032989,0.00075770187,0.000040159513,0.00036950732,4.8705493e-7,0.000024801406,7.89134e-7,0.000016324608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991484,0.000067334026,0.0004559801,0.0001364905,0.000100932215,0.00009086273],"domain_scores_gemma":[0.99900657,0.000110692,0.00042898004,0.00003102582,0.00036744622,0.000055284036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000417487,0.00008119687,0.00020814488,0.000045754736,0.00007535691,0.000053853095,0.00013236307,0.0000432993,0.000033268374],"category_scores_gemma":[0.00022066658,0.00004035554,0.000051821098,0.000075574324,0.0001575123,0.00027021693,0.00004819844,0.00009109495,4.600048e-7],"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":[0.00044295678,0.0006727327,0.29773447,0.000030569194,0.0004091629,5.525055e-7,0.0018320956,0.61883515,0.039158396,0.007209206,0.00063505105,0.033039622],"study_design_scores_gemma":[0.0005799107,0.0007276172,0.8531903,0.000048362876,0.00005583716,0.00016342473,0.0016781029,0.13451076,0.0041199354,0.0031113161,0.0015898268,0.0002246411],"about_ca_topic_score_codex":0.000096507836,"about_ca_topic_score_gemma":0.00021909371,"teacher_disagreement_score":0.5554558,"about_ca_system_score_codex":0.00005404454,"about_ca_system_score_gemma":0.00000839451,"threshold_uncertainty_score":0.16456512},"labels":[],"label_agreement":null},{"id":"W2007871027","doi":"10.1016/j.ijpe.2013.12.022","title":"Optimal dynamic pricing and ordering decisions for perishable products","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea","keywords":"Profit (economics); Product (mathematics); Dynamic programming; Order (exchange); Dynamic pricing; Heuristic; Mathematical optimization; Computer science; Economics; Microeconomics; Econometrics; Mathematics","score_opus":0.019067516597837755,"score_gpt":0.23640045147057015,"score_spread":0.2173329348727324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007871027","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":[0.96553105,0.00006865296,0.018623315,0.008561606,0.0060164323,0.00019619882,0.0000011434458,0.000019638253,0.0009819627],"genre_scores_gemma":[0.9865926,0.00009630914,0.008167293,0.00050446397,0.0041449,0.0000068564445,0.000009116244,0.000018999295,0.00045948086],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999256,0.000004412041,0.00035719806,0.00017659873,0.00009739551,0.00010836764],"domain_scores_gemma":[0.9989738,0.000029983517,0.00041447955,0.00009289208,0.0004778134,0.000011041148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068464945,0.00008850719,0.00012859624,0.00032043073,0.00008842909,0.00025536492,0.00020921922,0.000021573176,0.000027208529],"category_scores_gemma":[0.0007282765,0.00008697075,0.00005131456,0.00005817402,0.000027926826,0.0012415746,0.00008868929,0.000068810914,0.000009060513],"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":[0.0011469477,0.00065660477,0.011667082,0.00038053666,0.0010686482,0.000008492489,0.00072894024,0.33679247,0.0060562664,0.10424046,0.04273367,0.4945199],"study_design_scores_gemma":[0.001011275,0.00004912121,0.0026776227,0.000086938,0.00005489588,0.00005871306,0.00043264643,0.108571425,0.0005054,0.0058974167,0.88043517,0.00021937076],"about_ca_topic_score_codex":0.000007580222,"about_ca_topic_score_gemma":0.000008407465,"teacher_disagreement_score":0.8377015,"about_ca_system_score_codex":0.00007999006,"about_ca_system_score_gemma":0.00001803651,"threshold_uncertainty_score":0.35465646},"labels":[],"label_agreement":null},{"id":"W2010376710","doi":"10.1016/j.ijpe.2013.12.016","title":"Quality control in food supply chain management: An analytical model and case study of the adulterated milk incident in China","year":2013,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":160,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Supply chain; Business; Quality (philosophy); Product (mathematics); Supply chain management; Profit (economics); Food safety; Marketing; Supply chain risk management; Industrial organization; Exploratory research; Service management; Economics; Microeconomics; Food science","score_opus":0.026994907997194915,"score_gpt":0.2623846110084509,"score_spread":0.23538970301125597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010376710","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":[0.99534136,0.000013167415,0.0000050373624,0.0041736183,0.00021445904,0.00022052237,0.000009482353,0.0000015496064,0.000020791305],"genre_scores_gemma":[0.9997414,0.00003198489,0.00003648863,0.00007088287,0.000097429285,0.000004550729,0.0000014637533,5.674134e-7,0.000015250073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990902,0.00011617876,0.00050596,0.0001243726,0.000094580144,0.000068713394],"domain_scores_gemma":[0.999527,0.000023021343,0.000260623,0.000039041344,0.000119208686,0.00003112966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005796875,0.000059197835,0.0001334178,0.000048341553,0.000027199483,0.000034127865,0.0001825281,0.000021751306,0.000019958328],"category_scores_gemma":[0.000036525078,0.000026034093,0.000033012624,0.000076874654,0.000029223165,0.00033759532,0.00004149828,0.000107737746,3.5417156e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013390019,0.005095902,0.5940798,0.00001976348,0.000465459,0.00013607164,0.006826389,0.2415484,0.008344826,0.003910944,0.000082779894,0.13815063],"study_design_scores_gemma":[0.0011187798,0.0004519484,0.9610384,0.000015822066,0.0000069010403,0.00024975336,0.0042748298,0.031044016,0.00010939581,0.001606635,0.000015642576,0.00006784534],"about_ca_topic_score_codex":0.0008293688,"about_ca_topic_score_gemma":0.008334908,"teacher_disagreement_score":0.36695862,"about_ca_system_score_codex":0.00006009951,"about_ca_system_score_gemma":0.0000072762973,"threshold_uncertainty_score":0.4651074},"labels":[],"label_agreement":null},{"id":"W2010720777","doi":"10.1016/s0925-5273(02)00322-5","title":"Lot sizing with learning and forgetting in set-ups and in product quality","year":2002,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Rework; Forgetting; Sizing; Quality (philosophy); Product (mathematics); Production (economics); Computer science; Set (abstract data type); Process (computing); Operations research; Industrial engineering; Manufacturing engineering; Mathematics; Economics; Microeconomics; Engineering","score_opus":0.03417729018997549,"score_gpt":0.2483207340858618,"score_spread":0.2141434438958863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010720777","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":[0.99172646,0.00020877348,0.000031068892,0.0060946103,0.00059737754,0.00008798126,1.7068912e-7,0.000007247801,0.0012462925],"genre_scores_gemma":[0.9979299,0.00025461605,0.0002566392,0.000233388,0.0011102017,0.000002074452,0.0000013409796,0.000009692516,0.00020220567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922097,0.000014977614,0.0003963805,0.00017194667,0.00009612328,0.00009962017],"domain_scores_gemma":[0.9994189,0.000018543533,0.00040320554,0.00004431407,0.00010662204,0.00000839278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008964274,0.00008105791,0.00013248813,0.00043661273,0.000035014215,0.0001550233,0.00008796957,0.00001596204,0.000034739922],"category_scores_gemma":[0.000217796,0.00007737851,0.000017089498,0.00008570377,0.0000340102,0.0013396011,0.000062505394,0.00016517699,0.0000032226083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016720682,0.00010303356,0.9370023,0.000079317724,0.00006359931,0.000018292356,0.0006298171,0.009075133,0.00021655855,0.0029165118,0.00021183865,0.049516365],"study_design_scores_gemma":[0.007447268,0.00014111749,0.6423051,0.00084419723,0.0000701174,0.00040782057,0.01300551,0.054470368,0.00087935105,0.007814915,0.27146757,0.0011467168],"about_ca_topic_score_codex":0.00006854734,"about_ca_topic_score_gemma":0.00019366998,"teacher_disagreement_score":0.29469725,"about_ca_system_score_codex":0.00008679629,"about_ca_system_score_gemma":0.0000058230257,"threshold_uncertainty_score":0.3155404},"labels":[],"label_agreement":null},{"id":"W2011166073","doi":"10.1016/j.ijpe.2014.08.006","title":"Comparative study of 3- and 5-axis CNC centers for free-form machining of difficult-to-cut material","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Machining; Numerical control; Computer science; Position (finance); Cutter location; Mechanical engineering; Center (category theory); Machine tool; Surface (topology); Engineering drawing; Algorithm; Engineering; Mathematics; Geometry","score_opus":0.014087480161824852,"score_gpt":0.24163425093324112,"score_spread":0.22754677077141627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011166073","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":[0.9882504,0.000006659299,0.00979502,0.00011027815,0.0016238184,0.0001285528,0.000022283266,0.0000064859305,0.00005649894],"genre_scores_gemma":[0.9968418,0.000026298156,0.0027698365,0.0000057013835,0.00032778084,0.0000031897434,0.000005036958,0.000008556949,0.00001180165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939156,0.00000831695,0.00040976488,0.000075091266,0.00006527792,0.000050000817],"domain_scores_gemma":[0.9993827,0.000020172933,0.0002665769,0.00006192223,0.00024165813,0.000026997088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017912408,0.00006727853,0.0001830232,0.00014686858,0.000017224487,0.000022043547,0.00014144667,0.000018627648,0.0000081685175],"category_scores_gemma":[0.000051755946,0.00006430451,0.000026707998,0.000019480243,0.000013239202,0.0001869988,0.000023977565,0.00004246343,1.8791955e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032336195,0.000121600344,0.0013723937,0.00005769563,0.00026280133,1.1545714e-7,0.003856461,0.98704606,0.0017835993,0.00020060997,0.00022663502,0.004748692],"study_design_scores_gemma":[0.009157122,0.003065728,0.048864193,0.0003688602,0.00022299723,0.00013362372,0.0062200525,0.33774358,0.58482397,0.0030651644,0.0055755335,0.0007591894],"about_ca_topic_score_codex":0.000008147621,"about_ca_topic_score_gemma":0.00001965546,"teacher_disagreement_score":0.6493024,"about_ca_system_score_codex":0.000044145923,"about_ca_system_score_gemma":0.000007417912,"threshold_uncertainty_score":0.2622262},"labels":[],"label_agreement":null},{"id":"W2013425394","doi":"10.1016/s0925-5273(03)00084-7","title":"Countering forgetting through training and deployment","year":2003,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Forgetting; Software deployment; Flexibility (engineering); Task (project management); Computer science; Context (archaeology); Similarity (geometry); Productivity; Artificial intelligence; Cognitive psychology; Psychology; Economics; Software engineering; Management","score_opus":0.022659057606324282,"score_gpt":0.2391113325444366,"score_spread":0.2164522749381123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013425394","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":[0.87810886,0.00053326256,0.10746047,0.00070876407,0.011475962,0.000050915947,0.000002124931,0.00005353416,0.001606134],"genre_scores_gemma":[0.90108734,0.0007776331,0.09723868,0.00006821437,0.0007648894,0.0000011611457,9.651718e-7,0.00001800248,0.000043127482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949485,0.000008556491,0.00029294653,0.00006904416,0.000062888466,0.00007172133],"domain_scores_gemma":[0.9996884,0.000015192052,0.00011039764,0.000040389492,0.000115973315,0.000029633347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025523364,0.00006321901,0.00009021681,0.00007697068,0.00002635293,0.000056893354,0.00006916458,0.000023438583,0.000018052631],"category_scores_gemma":[0.000100547295,0.00006813002,0.00003026823,0.000024501605,0.00001439282,0.0003890113,0.0000061638466,0.00009284194,0.0000017821767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009188036,0.000017021493,0.00068990525,0.000008142159,0.0002046459,0.0000028855588,0.0019678683,0.96991223,0.0005880503,0.0027243323,0.00017523512,0.023700481],"study_design_scores_gemma":[0.005086479,0.00026617546,0.0012844105,0.00049767824,0.00015452655,0.009307718,0.014263395,0.52211523,0.12679558,0.01966373,0.2990263,0.001538788],"about_ca_topic_score_codex":5.417968e-7,"about_ca_topic_score_gemma":8.869558e-7,"teacher_disagreement_score":0.44779703,"about_ca_system_score_codex":0.00009548523,"about_ca_system_score_gemma":0.000021213935,"threshold_uncertainty_score":0.27782616},"labels":[],"label_agreement":null},{"id":"W2014148170","doi":"10.1016/j.ijpe.2008.07.016","title":"The production, remanufacture and waste disposal model with lost sales","year":2008,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":134,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reverse logistics; Stock (firearms); Remanufacturing; Production (economics); Lost sales; Reuse; Business; Computer science; Operations management; Operations research; Supply chain; Manufacturing engineering; Marketing; Economics; Waste management; Microeconomics; Engineering","score_opus":0.010707589492581163,"score_gpt":0.19652839705952427,"score_spread":0.1858208075669431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014148170","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":[0.95388055,0.0001086893,0.000894131,0.042111773,0.0023290014,0.0001755993,9.703659e-7,0.000015387332,0.00048392927],"genre_scores_gemma":[0.9905254,0.000516454,0.00059838063,0.00039831246,0.0051869536,0.000003919228,0.0000046650707,0.000021398171,0.002744517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990932,0.0000074499303,0.00035510046,0.00019737602,0.00020986202,0.00013703492],"domain_scores_gemma":[0.9985066,0.00002072017,0.00057715405,0.0001551246,0.0007273591,0.000013023839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046345498,0.0001254031,0.00012165807,0.00023997432,0.00024211915,0.00021963469,0.0002952252,0.000025317982,0.000009999063],"category_scores_gemma":[0.0002341428,0.00008681212,0.000045500332,0.00007794164,0.00015670368,0.0016521097,0.000098747274,0.00015152455,0.000014154814],"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":[0.0016787925,0.00024967387,0.029548168,0.00010355047,0.00091639423,0.0000944386,0.0007214631,0.83361375,0.00031943206,0.038272843,0.081363074,0.013118391],"study_design_scores_gemma":[0.0036431868,0.00018215738,0.034339584,0.00033551172,0.0004300082,0.0043598586,0.0150666395,0.081335455,0.004359935,0.06710812,0.7872567,0.0015828431],"about_ca_topic_score_codex":0.0000127893445,"about_ca_topic_score_gemma":0.000053348187,"teacher_disagreement_score":0.7522783,"about_ca_system_score_codex":0.00012912731,"about_ca_system_score_gemma":0.000063084626,"threshold_uncertainty_score":0.35400954},"labels":[],"label_agreement":null},{"id":"W2017783984","doi":"10.1016/j.ijpe.2009.06.042","title":"Optimal replenishment policies for non-instantaneous deteriorating items with stock-dependent demand","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economic shortage; Stock (firearms); Profit (economics); Economics; Operations research; Computer science; Mathematical optimization; Inventory management; Inventory control; Econometrics; Lost sales; Microeconomics; Mathematical economics; Mathematics; Operations management","score_opus":0.017098174494741904,"score_gpt":0.24093645113891898,"score_spread":0.22383827664417708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017783984","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":[0.9813099,0.000029080316,0.006216555,0.0077397,0.0028518168,0.00032868588,0.0000035366893,0.000022612707,0.0014981398],"genre_scores_gemma":[0.99060106,0.000042452124,0.0024814967,0.0013354499,0.0050930614,0.00000810377,0.000010157979,0.00001626387,0.00041198044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989322,0.0000045007096,0.0005191792,0.0001946294,0.00019248294,0.00015703714],"domain_scores_gemma":[0.99857503,0.000012810152,0.00079775153,0.000121007935,0.0004768424,0.00001652658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048112008,0.00013667397,0.00017793974,0.00032042002,0.00009813625,0.00037592195,0.0002956934,0.000028036968,0.00003756746],"category_scores_gemma":[0.00006704859,0.00012092355,0.00009025496,0.00005367614,0.000027543585,0.0011991806,0.000041260766,0.00008694351,0.00000735476],"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":[0.008859451,0.002008216,0.02187396,0.000296389,0.0024977184,0.0002774138,0.00238213,0.63175666,0.0177249,0.034981605,0.05079672,0.22654483],"study_design_scores_gemma":[0.013622543,0.002647466,0.014065179,0.00086115167,0.00068271044,0.0024597049,0.008972068,0.1082747,0.02310145,0.012409655,0.81048316,0.0024202128],"about_ca_topic_score_codex":0.000016625605,"about_ca_topic_score_gemma":0.000023214501,"teacher_disagreement_score":0.7596864,"about_ca_system_score_codex":0.00020475617,"about_ca_system_score_gemma":0.00003565383,"threshold_uncertainty_score":0.4931119},"labels":[],"label_agreement":null},{"id":"W2020676137","doi":"10.1016/j.ijpe.2013.11.013","title":"Interdisciplinary research in operations management","year":2013,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"North Atlantic oscillation; Climatology; Mediterranean climate; Mediterranean sea; Environmental science; Atlantic multidecadal oscillation; Sea surface temperature; Global warming; Climate change; Current (fluid); Oceanography; Geography; Geology","score_opus":0.03063390539071423,"score_gpt":0.3197866193060759,"score_spread":0.2891527139153616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020676137","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":[0.94120306,0.00016993166,0.016623843,0.011239617,0.0071522784,0.00033789728,0.000002986353,0.00004704463,0.023223346],"genre_scores_gemma":[0.9939841,0.00083646935,0.004331483,0.000033823293,0.00041210346,0.00001893219,0.0000058599594,0.000010881549,0.00036631612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992989,0.000019734427,0.00040152305,0.000079970734,0.00011327213,0.00008662746],"domain_scores_gemma":[0.9993832,0.000009877061,0.000039460396,0.000072856776,0.00046293277,0.000031662374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035023747,0.000055531116,0.0000737972,0.0006184188,0.000028019902,0.00010735776,0.00022467312,0.000029495755,0.00016476196],"category_scores_gemma":[0.000021174292,0.000055208526,0.000029503406,0.00011678272,0.000024626514,0.0010324096,0.000046247595,0.00019209011,0.000081152095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010645217,0.000059559734,0.00023461727,0.000009742163,0.00006449238,0.0000031404456,0.0004423152,0.95204943,0.00045160152,0.003656657,0.0059026466,0.03711515],"study_design_scores_gemma":[0.0017847231,0.00017285254,0.012559612,0.00038754457,0.000016534974,0.00045126711,0.0072961296,0.88679504,0.017648851,0.047171373,0.02518493,0.00053111085],"about_ca_topic_score_codex":0.0000039297843,"about_ca_topic_score_gemma":0.000023192164,"teacher_disagreement_score":0.06525437,"about_ca_system_score_codex":0.0003092316,"about_ca_system_score_gemma":0.00001990566,"threshold_uncertainty_score":0.22513384},"labels":[],"label_agreement":null},{"id":"W2021573996","doi":"10.1016/j.ijpe.2014.01.018","title":"Introduction: The Economics of Industrial Production","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology; Western University","funders":"","keywords":"Econometrics; Remanufacturing; Markov chain; Stock (firearms); Computer science; Statistics; Economics; Mathematics","score_opus":0.12172043258735978,"score_gpt":0.3485035676481978,"score_spread":0.22678313506083803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021573996","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":[0.8689321,0.000021629347,0.005783162,0.109845325,0.014393732,0.00018082974,0.000008237783,0.000017024693,0.00081794726],"genre_scores_gemma":[0.9790972,0.00014600027,0.0033415854,0.00009796182,0.016463824,0.0000060326192,0.0000034403454,0.0000121106605,0.0008318679],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977938,0.00011585131,0.0013744681,0.00029417497,0.00031968777,0.0001020295],"domain_scores_gemma":[0.99559504,0.00021068154,0.002112257,0.0005049451,0.0015298931,0.000047191108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050447644,0.000105938845,0.00024062992,0.00034812745,0.000099257064,0.00013937333,0.0010981872,0.00006914502,0.00013642342],"category_scores_gemma":[0.00499855,0.00007529625,0.00017545871,0.00021244054,0.00020081214,0.0006204345,0.000094674426,0.00025260195,0.00002942222],"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":[0.00038807307,0.00028360757,0.0046837665,0.0000028776465,0.00024421103,3.2838597e-7,0.0005091056,0.09504838,0.0018604486,0.11387616,0.19661075,0.5864923],"study_design_scores_gemma":[0.0003461218,0.00018754651,0.00087947305,0.000017904835,0.00003071582,0.0004908506,0.00034257182,0.002079706,0.032381725,0.14581579,0.8172811,0.00014645368],"about_ca_topic_score_codex":0.000008141348,"about_ca_topic_score_gemma":0.000012342171,"teacher_disagreement_score":0.6206704,"about_ca_system_score_codex":0.00013530374,"about_ca_system_score_gemma":0.00012776052,"threshold_uncertainty_score":0.5984092},"labels":[],"label_agreement":null},{"id":"W2023096655","doi":"10.1016/j.ijpe.2010.07.033","title":"Multi-product budget-constrained acquisition and pricing with uncertain demand and supplier quantity discounts","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Newsvendor model; Budget constraint; Computer science; Mathematical optimization; Lagrangian relaxation; Profit (economics); Product (mathematics); Constraint (computer-aided design); Nonlinear pricing; Dual (grammatical number); Operations research; Supply chain; Microeconomics; Economics; Business; Mathematics; Marketing","score_opus":0.014326253376639272,"score_gpt":0.23516662539638722,"score_spread":0.22084037201974793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023096655","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":[0.99062586,0.000040294297,0.0013649294,0.005034219,0.0024372626,0.00013927264,0.0000024350795,0.000011356989,0.00034436394],"genre_scores_gemma":[0.9940314,0.00008325015,0.0026689994,0.00043322615,0.0026146239,0.0000027746053,0.000010076424,0.000013158452,0.00014248863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999217,0.0000063364537,0.00031704496,0.00022300925,0.0001275923,0.000109062974],"domain_scores_gemma":[0.9991445,0.0000119814795,0.00043823183,0.000099737306,0.00028652552,0.000019057694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006014868,0.0001206612,0.00014265542,0.00029255517,0.00009216977,0.00031778286,0.00014354402,0.000028523447,0.00008863387],"category_scores_gemma":[0.00008417841,0.0001027517,0.000029784522,0.0000540711,0.00012708007,0.0017094467,0.00007139952,0.00016217315,0.000006288661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018294983,0.0010466415,0.7608862,0.00045330633,0.0015247995,0.000090471,0.0011412282,0.008564033,0.060405612,0.08222492,0.0058177765,0.076015554],"study_design_scores_gemma":[0.013600886,0.00028583166,0.70942813,0.0004647254,0.00065662403,0.002143214,0.005041529,0.055710144,0.011015628,0.016675835,0.18285862,0.0021188117],"about_ca_topic_score_codex":0.00006174796,"about_ca_topic_score_gemma":0.00017508699,"teacher_disagreement_score":0.17704083,"about_ca_system_score_codex":0.00004045796,"about_ca_system_score_gemma":0.000023594257,"threshold_uncertainty_score":0.41900927},"labels":[],"label_agreement":null},{"id":"W2024573273","doi":"10.1016/j.ijpe.2012.09.017","title":"RFID value in aircraft parts supply chains: A case study","year":2012,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"RFID technology advancements","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Radio-frequency identification; Supply chain; Process (computing); Computer science; Component (thermodynamics); Control (management); Identification (biology); Reliability engineering; Aircraft industry; Risk analysis (engineering); Operations research; Operations management; Business; Computer security; Engineering; Marketing; Aeronautics","score_opus":0.014680390932990098,"score_gpt":0.25623280457058767,"score_spread":0.24155241363759758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024573273","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":[0.99163496,0.00022512778,0.0006072354,0.0005257878,0.0067609497,0.00013110579,0.0000030795454,0.000034560264,0.000077168246],"genre_scores_gemma":[0.99770194,0.00017938839,0.0011598209,0.00002545283,0.0008599986,0.000009090233,0.0000011739136,0.000018069575,0.00004506021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99916446,0.0000212515,0.0004871314,0.00009109858,0.000084372485,0.00015166201],"domain_scores_gemma":[0.9995712,0.000015401265,0.00015291704,0.00012149674,0.00009325448,0.000045727986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044998326,0.000096052136,0.0001409678,0.00038461408,0.000017427954,0.000017130633,0.0001853529,0.00004386758,0.000028912953],"category_scores_gemma":[0.00007725205,0.00010670631,0.000038304646,0.00006240344,0.000022121978,0.00085215375,0.000029859299,0.00022886861,0.000016095042],"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":[0.000059529622,0.00084439904,0.4092403,0.000009769424,0.00053766486,0.00069264113,0.0027624182,0.5624135,0.00064599287,0.00097552815,0.0007239573,0.021094281],"study_design_scores_gemma":[0.024396138,0.0019594838,0.32983413,0.0005681831,0.00043121763,0.25622272,0.050715577,0.078092225,0.10448371,0.013387985,0.13596086,0.003947782],"about_ca_topic_score_codex":0.000014196471,"about_ca_topic_score_gemma":0.000045670407,"teacher_disagreement_score":0.48432127,"about_ca_system_score_codex":0.00039941812,"about_ca_system_score_gemma":0.000018352868,"threshold_uncertainty_score":0.4351357},"labels":[],"label_agreement":null},{"id":"W2024578179","doi":"10.1016/j.ijpe.2014.04.020","title":"Supplier selection of a critical component when the production process can be improved","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Original equipment manufacturer; Outsourcing; Production (economics); Business; Component (thermodynamics); Industrial organization; Process (computing); Product (mathematics); Commerce; Computer science; Marketing; Microeconomics; Economics; Mathematics","score_opus":0.018467999408031528,"score_gpt":0.24357448108162577,"score_spread":0.22510648167359423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024578179","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":[0.8896672,0.000016796317,0.0010567572,0.0969515,0.010574436,0.0002861284,0.0000025485983,0.00002580103,0.0014188433],"genre_scores_gemma":[0.9916232,0.000013963153,0.0002667733,0.0010286081,0.006790203,0.000009743183,0.000008157729,0.000015894137,0.00024341645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888176,0.000020751382,0.00056144444,0.00019017767,0.00022221773,0.00012364148],"domain_scores_gemma":[0.9981495,0.000029147748,0.00068078924,0.00012980773,0.0009976792,0.000013046403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009627797,0.000113856695,0.00016041218,0.00029496208,0.00009236097,0.00013454832,0.00035375546,0.000033744585,0.00017788284],"category_scores_gemma":[0.00067392935,0.00009171613,0.000095773816,0.000088261964,0.000110432215,0.00094816077,0.000059998634,0.00015670319,0.0000071101945],"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":[0.0038800458,0.0054479395,0.05768599,0.0017412809,0.0030027805,0.000007810871,0.0057884688,0.10093664,0.089103006,0.43450347,0.16055326,0.13734932],"study_design_scores_gemma":[0.0025162091,0.00031645622,0.014163496,0.00030726288,0.0005596905,0.00034078074,0.004656093,0.07574007,0.06311819,0.092762135,0.74453396,0.0009856549],"about_ca_topic_score_codex":0.0000624226,"about_ca_topic_score_gemma":0.00007216416,"teacher_disagreement_score":0.5839807,"about_ca_system_score_codex":0.00012722213,"about_ca_system_score_gemma":0.000037564332,"threshold_uncertainty_score":0.37400752},"labels":[],"label_agreement":null},{"id":"W2026878304","doi":"10.1016/j.ijpe.2008.10.012","title":"Supplier selection problem for a single manufacturing unit under stochastic demand","year":2008,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Selection (genetic algorithm); Mathematical optimization; Computer science; Order (exchange); Unit (ring theory); Operations research; Mathematics; Business; Artificial intelligence","score_opus":0.04053378030553872,"score_gpt":0.23205855768739347,"score_spread":0.19152477738185475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026878304","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":[0.94291365,0.000028172431,0.044571325,0.005156572,0.0049800193,0.00034278966,0.0000022983006,0.000035459892,0.0019697165],"genre_scores_gemma":[0.99189687,0.000020039924,0.0010760063,0.00060685497,0.0054608993,0.000011568237,0.000014256419,0.000021919586,0.0008915954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915034,0.0000049209607,0.00041347416,0.00016382316,0.00013454049,0.0001329187],"domain_scores_gemma":[0.9989952,0.00001760797,0.00052525336,0.00006568981,0.00038302483,0.000013225615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031706147,0.000110632915,0.00013271984,0.00040300423,0.00012190322,0.00012745845,0.00021011275,0.000034022953,0.00016537614],"category_scores_gemma":[0.000047949427,0.00011179866,0.000101049394,0.000047991267,0.000036197565,0.001294251,0.0000462239,0.00009137871,0.000032974178],"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":[0.00092802494,0.00077574776,0.0044954065,0.00012865628,0.00079853635,0.000009009536,0.00028363866,0.917897,0.0029836642,0.03018453,0.02944939,0.012066385],"study_design_scores_gemma":[0.007558751,0.00033059876,0.0156119,0.00024465326,0.00040325316,0.0016907124,0.0016640525,0.02957308,0.02871577,0.10907546,0.8037652,0.0013666066],"about_ca_topic_score_codex":0.000013603507,"about_ca_topic_score_gemma":0.000015642672,"teacher_disagreement_score":0.88832396,"about_ca_system_score_codex":0.0001804822,"about_ca_system_score_gemma":0.000030308915,"threshold_uncertainty_score":0.45590168},"labels":[],"label_agreement":null},{"id":"W2027248706","doi":"10.1016/j.ijpe.2007.07.003","title":"Economic order quantity for items with imperfect quality: Revisited","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":287,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imperfect; Economic order quantity; Economic production quantity; Order (exchange); Quality (philosophy); Computer science; Production (economics); Yield (engineering); Economics; Econometrics; Profit (economics); Process (computing); Scale (ratio); Operations research; Microeconomics; Mathematics; Supply chain; Business","score_opus":0.02979841779980899,"score_gpt":0.2882860831315828,"score_spread":0.2584876653317738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027248706","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":[0.9737719,0.00005167139,0.0115223,0.004692253,0.0065327403,0.00028053622,0.0000051927996,0.000026116471,0.0031172533],"genre_scores_gemma":[0.98657125,0.00006847775,0.0014433142,0.0012567412,0.010126783,0.0000044423055,0.000027764987,0.00002575638,0.00047548045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889445,0.000006424698,0.00063986774,0.0001916079,0.00011870013,0.00014896772],"domain_scores_gemma":[0.9982732,0.000040450628,0.00092670636,0.00013124921,0.0006127933,0.000015630192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948415,0.000118320124,0.00019395187,0.00044721866,0.000064339794,0.00022697455,0.00029182184,0.00003381033,0.00015014652],"category_scores_gemma":[0.00017646413,0.00010668057,0.00010940601,0.00007278619,0.000038627124,0.001485015,0.000045549677,0.00008994526,0.00004733036],"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":[0.006644445,0.0007735596,0.2531091,0.00039198776,0.0028102344,0.000029564544,0.00029322124,0.03412478,0.0018909853,0.5350304,0.07933821,0.08556349],"study_design_scores_gemma":[0.0022379884,0.0000937561,0.016723229,0.00007387693,0.00009527679,0.000061798746,0.0006480838,0.001987184,0.0011605944,0.0048852633,0.9716594,0.0003735061],"about_ca_topic_score_codex":0.000081264356,"about_ca_topic_score_gemma":0.00022259577,"teacher_disagreement_score":0.8923212,"about_ca_system_score_codex":0.00025147042,"about_ca_system_score_gemma":0.000043017673,"threshold_uncertainty_score":0.43503073},"labels":[],"label_agreement":null},{"id":"W2027487420","doi":"10.1016/j.ijpe.2015.04.003","title":"Manufacturers׳ channel structures when selling asymmetric competing products","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Bertrand competition; Cournot competition; Economics; Microeconomics; Bertrand paradox (economics); Competition (biology); Equity (law); Industrial organization; Supply chain; Oligopoly; Business; Marketing","score_opus":0.044861276556630865,"score_gpt":0.23436131114953965,"score_spread":0.1895000345929088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027487420","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":[0.8789204,0.0005412601,0.0041508176,0.04099788,0.05527997,0.00046494615,0.0000043303007,0.000111071095,0.01952934],"genre_scores_gemma":[0.97947633,0.00005256014,0.0018866722,0.0014454756,0.016638605,0.0000021983817,0.000018284005,0.000025643822,0.00045422098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875456,0.000013154782,0.00054456876,0.00022770322,0.00029877294,0.00016121917],"domain_scores_gemma":[0.9979309,0.000013378355,0.0008997608,0.00014321244,0.0009859897,0.000026774955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000974014,0.0001502687,0.00018864275,0.0008390673,0.00006182791,0.00034464966,0.00048760668,0.000039906226,0.000070074006],"category_scores_gemma":[0.00046492048,0.00014226473,0.000084992316,0.00014249026,0.000036764173,0.001758511,0.00012177311,0.00017970463,0.00007342152],"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":[0.0011579313,0.0007379976,0.015084161,0.00029568688,0.0019226936,0.00010638816,0.0027810514,0.502967,0.0004108852,0.08395432,0.30072626,0.08985563],"study_design_scores_gemma":[0.0016003586,0.000047233763,0.0016886708,0.00006902285,0.00009985985,0.00016894782,0.0029603129,0.008294646,0.003445954,0.072421685,0.9087394,0.0004639023],"about_ca_topic_score_codex":0.00004177258,"about_ca_topic_score_gemma":0.0000074892714,"teacher_disagreement_score":0.60801315,"about_ca_system_score_codex":0.00022581048,"about_ca_system_score_gemma":0.00005185485,"threshold_uncertainty_score":0.58013874},"labels":[],"label_agreement":null},{"id":"W2027885937","doi":"10.1016/j.ijpe.2013.04.016","title":"Pricing and quality decisions and financial incentives for sustainable product design with recycled material content under price leadership","year":2013,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Houston","keywords":"Incentive; Duopoly; Product (mathematics); Quality (philosophy); Sustainability; Business; Empirical evidence; Position (finance); Empirical research; Economics; Industrial organization; Marketing; Microeconomics; Finance","score_opus":0.09412153159985386,"score_gpt":0.2548243743667869,"score_spread":0.16070284276693303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027885937","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":[0.9385636,0.000089112174,0.046675317,0.012520575,0.0010581973,0.00089946407,0.0000010113029,0.000018934252,0.00017380569],"genre_scores_gemma":[0.9916041,0.00010543458,0.004519855,0.0007600393,0.0020893773,0.000043285676,0.000005586892,0.000020763093,0.0008515626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998896,0.000025043313,0.00045933318,0.00026143895,0.00014115116,0.00021705532],"domain_scores_gemma":[0.9978726,0.000120295306,0.00065771176,0.000099584715,0.001229285,0.000020511852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011801941,0.00013581585,0.00019777156,0.00036498674,0.00014110345,0.000626624,0.00017905461,0.000030575076,0.000032887045],"category_scores_gemma":[0.0012123914,0.0001172112,0.00003553766,0.000086857384,0.00008568586,0.00276288,0.00011283821,0.000078716665,0.0000022171437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017520461,0.0016267967,0.04494916,0.0019457251,0.0023982227,0.00007443187,0.00260014,0.032882087,0.0069944556,0.63728905,0.027935708,0.22378378],"study_design_scores_gemma":[0.016119974,0.0007110464,0.30444643,0.00073946395,0.00057617115,0.00034524896,0.11632389,0.0073821177,0.0113539295,0.33056283,0.209024,0.0024148826],"about_ca_topic_score_codex":0.00019168775,"about_ca_topic_score_gemma":0.000015550599,"teacher_disagreement_score":0.3067262,"about_ca_system_score_codex":0.0002062752,"about_ca_system_score_gemma":0.00007296275,"threshold_uncertainty_score":0.60425496},"labels":[],"label_agreement":null},{"id":"W2028604690","doi":"10.1016/j.ijpe.2009.04.019","title":"An economic production and remanufacturing model with learning effects","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Production (economics); Computer science; Investment (military); Learning effect; Capital investment; Learning curve; Operations research; Industrial organization; Business; Operations management; Microeconomics; Economics; Manufacturing engineering; Engineering","score_opus":0.0054905992755619575,"score_gpt":0.21007464400425627,"score_spread":0.20458404472869432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028604690","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":[0.9877959,0.000026369586,0.0024113576,0.007514672,0.0014738655,0.00016331399,1.6017931e-7,0.000036962887,0.0005774138],"genre_scores_gemma":[0.99366343,0.00007335958,0.0015618992,0.0003656438,0.004029014,0.0000024906426,0.0000043407686,0.000017850947,0.0002819776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916005,0.000010155537,0.00032107014,0.00025624622,0.00011655784,0.00013589395],"domain_scores_gemma":[0.9990114,0.000008980714,0.00058384077,0.000122041616,0.00025622157,0.000017500855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055320514,0.0001327281,0.00015411581,0.0004998502,0.00009576937,0.00033609977,0.00021433878,0.000029685965,0.000010650198],"category_scores_gemma":[0.000120026154,0.00012609718,0.00003750567,0.000040563442,0.000031443964,0.0034567392,0.00003542979,0.0001685023,0.000008747733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023335397,0.000062980296,0.0027665284,0.000029709396,0.00008301985,0.000010630596,0.000106339525,0.96527046,0.0003859643,0.004674275,0.00032879962,0.026047917],"study_design_scores_gemma":[0.0043249945,0.00084969454,0.052866064,0.0005332374,0.0004830507,0.0010500638,0.0044331644,0.7648793,0.018023461,0.10457037,0.046142932,0.0018437078],"about_ca_topic_score_codex":0.000016709699,"about_ca_topic_score_gemma":0.000018865747,"teacher_disagreement_score":0.20039122,"about_ca_system_score_codex":0.00026187813,"about_ca_system_score_gemma":0.000036942485,"threshold_uncertainty_score":0.51420933},"labels":[],"label_agreement":null},{"id":"W2029798215","doi":"10.1016/j.ijpe.2013.07.005","title":"Competing in a supply chain via full-refund and no-refund customer returns policies","year":2013,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stackelberg competition; Supply chain; Business; Order (exchange); Product (mathematics); Industrial organization; Game theory; Microeconomics; Nash equilibrium; Marketing; Economics; Finance","score_opus":0.01432887539029028,"score_gpt":0.22137140292413554,"score_spread":0.20704252753384525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029798215","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":[0.97827077,0.00006346962,0.00005337573,0.01147635,0.00370993,0.00017313575,0.0000011857493,0.000014375289,0.00623741],"genre_scores_gemma":[0.99287283,0.00012615371,0.00029343145,0.0014908544,0.004560116,0.00000780908,0.0000079215915,0.000017871691,0.0006230004],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989222,0.000013109665,0.00056677306,0.00018071236,0.0001497324,0.00016743319],"domain_scores_gemma":[0.9988986,0.000020836447,0.00055811624,0.000100124445,0.00040276986,0.000019533938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056117866,0.00013194999,0.00018325956,0.0006897285,0.000051532013,0.00034430163,0.00026629472,0.000038464823,0.00045457834],"category_scores_gemma":[0.00013290133,0.00012845338,0.00006388582,0.00009742832,0.000062467996,0.0019321684,0.00013606473,0.0001672223,0.00024517535],"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":[0.001295585,0.0017172471,0.57016325,0.00060990825,0.0017729813,0.00007274679,0.004158934,0.027527425,0.025417795,0.0900797,0.14083321,0.1363512],"study_design_scores_gemma":[0.0032918365,0.00009743506,0.10219812,0.0003330331,0.0000769283,0.0002948723,0.004673423,0.032633457,0.0006063555,0.015422615,0.83949906,0.0008728671],"about_ca_topic_score_codex":0.00035617917,"about_ca_topic_score_gemma":0.00014681791,"teacher_disagreement_score":0.69866586,"about_ca_system_score_codex":0.00015820771,"about_ca_system_score_gemma":0.000016529177,"threshold_uncertainty_score":0.52381766},"labels":[],"label_agreement":null},{"id":"W2031797035","doi":"10.1016/j.ijpe.2008.12.015","title":"Managing technology for highly complex critical modular systems: The case of automotive by-wire systems","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Original equipment manufacturer; Automotive industry; Modular design; Interdependence; Manufacturing engineering; Brake; Computer science; Electric vehicle; Product (mathematics); Architecture; Business; Automotive engineering; Engineering; Power (physics)","score_opus":0.02012595447330555,"score_gpt":0.2472443469717259,"score_spread":0.22711839249842036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031797035","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":[0.9733594,0.00021722057,0.0035544306,0.016180947,0.005110182,0.00024760285,0.000025321995,0.000024333027,0.0012805338],"genre_scores_gemma":[0.9974979,0.000030373105,0.0001646402,0.00026569248,0.0019332205,0.0000043575756,0.000011454284,0.000011447113,0.00008091055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901056,0.0000018996899,0.0006528234,0.00014626503,0.000059096998,0.00012936047],"domain_scores_gemma":[0.99825823,0.00003945843,0.00073916087,0.00012300332,0.000829052,0.000011116002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004629525,0.00010541595,0.00022781642,0.00031017655,0.00008393992,0.00047292758,0.00033534822,0.00005076011,0.000005627589],"category_scores_gemma":[0.00023591402,0.000086621665,0.00009612806,0.0000630412,0.0000777451,0.002116902,0.00004160768,0.00009998068,0.0000074927857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017456934,0.00020991506,0.00017778094,0.0001176639,0.00032595196,0.000054614095,0.000045946636,0.11775167,0.00043516944,0.85043484,0.013936559,0.016335303],"study_design_scores_gemma":[0.0023662255,0.00030862246,0.00033198213,0.0003948529,0.00028089518,0.008180324,0.014063581,0.43221113,0.0009552587,0.36584744,0.17430054,0.00075915863],"about_ca_topic_score_codex":0.000051426367,"about_ca_topic_score_gemma":0.0000064133487,"teacher_disagreement_score":0.4845874,"about_ca_system_score_codex":0.000120039265,"about_ca_system_score_gemma":0.000021249276,"threshold_uncertainty_score":0.45604515},"labels":[],"label_agreement":null},{"id":"W2032790871","doi":"10.1016/j.ijpe.2011.04.021","title":"Coordination in multi-echelon supply chain under supply and demand uncertainty","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Program for New Century Excellent Talents in University; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Supply chain; Business; Bargaining problem; Industrial organization; Supply and demand; Microeconomics; Supply chain management; Economics; Marketing","score_opus":0.04537268757094934,"score_gpt":0.24193558177889066,"score_spread":0.19656289420794132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032790871","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":[0.9871839,0.00010421194,0.0012869812,0.006900279,0.0033061884,0.00016978796,0.0000018459962,0.000015172643,0.001031622],"genre_scores_gemma":[0.9967436,0.00017443672,0.00072228845,0.0008026988,0.0010974506,0.000005278552,0.0000113923825,0.000014429105,0.0004284123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990702,0.000014709813,0.0004813736,0.00018908484,0.000120479584,0.00012412408],"domain_scores_gemma":[0.9991295,0.000012408152,0.00047500164,0.00008756807,0.0002804232,0.000015136824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081049546,0.00011672509,0.00015096148,0.0006349269,0.000040183888,0.000116769144,0.00022893808,0.000045019173,0.00020415502],"category_scores_gemma":[0.000107385116,0.000117093536,0.000054723474,0.00009216006,0.000052862357,0.0015196461,0.00008538433,0.00012873765,0.000020906042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012430358,0.0015957984,0.71324944,0.00015488768,0.0006863161,0.00007194854,0.002360797,0.034407564,0.001752881,0.1547964,0.014148091,0.07553283],"study_design_scores_gemma":[0.00866448,0.00014570152,0.6687229,0.00034520202,0.00015367668,0.00022080926,0.0072214934,0.076300144,0.0027207138,0.06329751,0.17114276,0.0010645873],"about_ca_topic_score_codex":0.00027898134,"about_ca_topic_score_gemma":0.00039579254,"teacher_disagreement_score":0.15699467,"about_ca_system_score_codex":0.00018263226,"about_ca_system_score_gemma":0.000023247298,"threshold_uncertainty_score":0.47749358},"labels":[],"label_agreement":null},{"id":"W2033798323","doi":"10.1016/j.ijpe.2014.11.011","title":"Integrated pricing and lot-sizing decision in a two-echelon supply chain with a finite production rate","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Supply chain; Sizing; Mathematical optimization; Production (economics); Economic order quantity; Computer science; Multiplier (economics); Product (mathematics); Holding cost; Order (exchange); Microeconomics; Operations research; Economics; Business; Mathematics; Marketing","score_opus":0.013633358817464535,"score_gpt":0.22620876452687358,"score_spread":0.21257540570940905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033798323","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":[0.98567873,0.000040411745,0.0048322976,0.005703182,0.0029677297,0.00018678057,4.9900814e-7,0.00002075539,0.0005696279],"genre_scores_gemma":[0.99460876,0.0001175635,0.0016450328,0.0005958368,0.002834683,0.0000061398414,0.000009164375,0.00002167675,0.00016111438],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884856,0.00002742771,0.0005441304,0.00027620763,0.00015888145,0.00014478106],"domain_scores_gemma":[0.99877506,0.000048449103,0.0006345167,0.00012205814,0.00040394848,0.000015992313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017121293,0.00014969328,0.00019948953,0.00089552737,0.000060238945,0.00026513237,0.00020719205,0.000027393102,0.00003362354],"category_scores_gemma":[0.00063959765,0.000129982,0.000042350497,0.00020859083,0.000046735582,0.001793507,0.00007788594,0.0001956102,0.000014053679],"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":[0.0033481207,0.0005955052,0.18610378,0.00017372845,0.00043812342,0.000045261484,0.001156001,0.3025767,0.004371301,0.023878075,0.002620468,0.47469297],"study_design_scores_gemma":[0.013674339,0.00044448202,0.12844196,0.003242992,0.00027213313,0.00060096866,0.006829525,0.3808582,0.007834128,0.047789477,0.408118,0.0018937538],"about_ca_topic_score_codex":0.00012830424,"about_ca_topic_score_gemma":0.00036131745,"teacher_disagreement_score":0.4727992,"about_ca_system_score_codex":0.00019816597,"about_ca_system_score_gemma":0.000029834066,"threshold_uncertainty_score":0.53005123},"labels":[],"label_agreement":null},{"id":"W2034318092","doi":"10.1016/j.ijpe.2009.06.038","title":"RFID benefits, costs, and possibilities: The economical analysis of RFID deployment in a cruise corporation global service supply chain","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Transport Canada","keywords":"Software deployment; Pallet; Supply chain; Cruise; Service (business); Corporation; Business; Investment (military); Scale (ratio); Computer science; Operations research; Industrial organization; Environmental economics; Operations management; Marketing; Economics; Finance; Engineering","score_opus":0.01642070712898878,"score_gpt":0.2145772216599758,"score_spread":0.19815651453098704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034318092","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":[0.9954803,0.0004192447,0.0007915575,0.002119915,0.0008657935,0.00008615436,0.00009494417,0.000010147503,0.00013194581],"genre_scores_gemma":[0.99816877,0.00091641233,0.00048387787,0.00014075892,0.00024794348,0.0000013027845,0.00002637866,0.0000059450836,0.000008624251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99902654,0.000015887166,0.00066638883,0.00011916312,0.00008416213,0.00008785285],"domain_scores_gemma":[0.9993856,0.000027064896,0.00024090518,0.00011183686,0.00019109117,0.000043491607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000299416,0.00010020102,0.00022838864,0.0002267575,0.000015516596,0.00004117874,0.00018716996,0.000047310055,0.0000216544],"category_scores_gemma":[0.000025437423,0.00008971514,0.00007879503,0.00016028828,0.00003929545,0.0002692657,0.000008457179,0.00011356075,9.744188e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001967923,0.000120991266,0.0879069,0.000011036358,0.00083835155,0.000004356526,0.00058188493,0.8782519,0.0001862766,0.020082213,0.00019516872,0.011624119],"study_design_scores_gemma":[0.0011006148,0.00014711377,0.83247596,0.00005808115,0.00038574368,0.00011876819,0.0005293063,0.15554541,0.0013971414,0.0068330043,0.0011453283,0.00026352916],"about_ca_topic_score_codex":0.00006392529,"about_ca_topic_score_gemma":0.0011199418,"teacher_disagreement_score":0.74456906,"about_ca_system_score_codex":0.00044304936,"about_ca_system_score_gemma":0.00004343209,"threshold_uncertainty_score":0.36584774},"labels":[],"label_agreement":null},{"id":"W2034550171","doi":"10.1016/j.ijpe.2010.04.041","title":"Green logistics at Eroski: A case study","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":334,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Green logistics; Business; Vehicle routing problem; Operations research; Competitive advantage; Computer science; Process management; Reverse logistics; Operations management; Environmental economics; Risk analysis (engineering); Supply chain; Marketing; Routing (electronic design automation); Economics; Engineering","score_opus":0.019253725778435794,"score_gpt":0.25017233279291246,"score_spread":0.23091860701447667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034550171","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":[0.9833223,0.000006502973,0.00040121918,0.004983472,0.0099679995,0.00021652618,0.0000014669542,0.000022804552,0.0010776689],"genre_scores_gemma":[0.98900384,0.0000064155497,0.00038647812,0.00047646073,0.008760813,0.0000051755746,0.000004019354,0.000020935064,0.0013358882],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894214,0.000008472049,0.0005229842,0.00019723354,0.00018974757,0.00013943552],"domain_scores_gemma":[0.998107,0.000023705972,0.0007466225,0.00020418953,0.0009019693,0.000016485885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008637204,0.00012404303,0.0001511808,0.00051131006,0.00010670283,0.00025723322,0.00041194604,0.00003658291,0.00031040018],"category_scores_gemma":[0.0003605945,0.00012307033,0.00008308207,0.000096596756,0.00005380373,0.0011930756,0.00029342916,0.00023540069,0.000086376655],"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":[0.0014295286,0.0048528607,0.6167919,0.000193286,0.0032822767,0.023386868,0.0026334764,0.100868456,0.0021952884,0.06406609,0.061753288,0.118546695],"study_design_scores_gemma":[0.0054716403,0.00020280674,0.018864632,0.000033333792,0.0005268358,0.019366942,0.030240377,0.012613733,0.00046974304,0.033351257,0.8777371,0.0011215749],"about_ca_topic_score_codex":0.0005983537,"about_ca_topic_score_gemma":0.0014972202,"teacher_disagreement_score":0.81598383,"about_ca_system_score_codex":0.00021451834,"about_ca_system_score_gemma":0.000035299377,"threshold_uncertainty_score":0.5018662},"labels":[],"label_agreement":null},{"id":"W2035238365","doi":"10.1016/j.ijpe.2010.07.019","title":"Comparison of two periodic review models for stochastic and price-sensitive demand environment","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; McGill University","funders":"","keywords":"Profit (economics); Computer science; Stock (firearms); Holding cost; Context (archaeology); Econometrics; Economics; Microeconomics; Operations management; Materials science","score_opus":0.033720078176641126,"score_gpt":0.28107358834499535,"score_spread":0.24735351016835422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035238365","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":[0.93132836,0.0011619019,0.05060703,0.009556695,0.005696918,0.00067467126,0.000007975395,0.000010755176,0.0009556975],"genre_scores_gemma":[0.9961783,0.00052300055,0.0010771148,0.00048107447,0.0016419954,0.000006487598,0.000008014331,0.0000097235925,0.00007427021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923193,0.000004606561,0.00046083875,0.00012481483,0.00010833873,0.000069490074],"domain_scores_gemma":[0.99889684,0.000019897061,0.0007534896,0.00007912602,0.00023917186,0.0000114505565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053725444,0.00008066003,0.00020033824,0.00016478117,0.00003777867,0.000053218286,0.00013785342,0.000018091512,0.000065283006],"category_scores_gemma":[0.00009239734,0.0000772941,0.00007152238,0.000021647851,0.000057402423,0.0007040307,0.00005845005,0.00009308136,0.0000048403544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011986013,0.001886759,0.0142883565,0.0026829564,0.0021521146,0.000008095891,0.0014646277,0.49628806,0.011969409,0.30115035,0.03566692,0.13124374],"study_design_scores_gemma":[0.006206141,0.00026357378,0.005214403,0.00162764,0.0009971167,0.00020277845,0.0015025238,0.55310374,0.004445993,0.07659876,0.34878844,0.0010489025],"about_ca_topic_score_codex":0.000005984607,"about_ca_topic_score_gemma":0.000006562036,"teacher_disagreement_score":0.31312153,"about_ca_system_score_codex":0.000038842634,"about_ca_system_score_gemma":0.000014493779,"threshold_uncertainty_score":0.3151962},"labels":[],"label_agreement":null},{"id":"W2037291198","doi":"10.1016/j.ijpe.2010.08.014","title":"A production/remanufacture model with returns’ subassemblies managed differently","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Production (economics); Product (mathematics); Process (computing); Computer science; Component (thermodynamics); Constant (computer programming); Holding cost; Unit (ring theory); Operations management; Business; Operations research; Manufacturing engineering; Economics; Microeconomics; Mathematics; Engineering","score_opus":0.01019952762892552,"score_gpt":0.20829647837852971,"score_spread":0.1980969507496042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037291198","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":[0.95894665,0.000012641017,0.0025255885,0.029107362,0.0073333443,0.0002639985,0.0000015596078,0.00005363787,0.0017552068],"genre_scores_gemma":[0.9865304,0.000038964863,0.0021092114,0.000696563,0.007873515,0.000011136697,0.000013180769,0.0000411309,0.002685874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985897,0.00000846449,0.0005238477,0.00032964352,0.00033364227,0.00021471006],"domain_scores_gemma":[0.99764276,0.000013994377,0.00088379194,0.00029748466,0.0011390902,0.00002289242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006321622,0.00021648937,0.00022919412,0.000834049,0.00011949715,0.00048696029,0.0006075827,0.00006504888,0.00012682547],"category_scores_gemma":[0.00028829576,0.00018259982,0.00010814059,0.00015456475,0.00008609176,0.0027617195,0.00013453781,0.00046120182,0.000028959927],"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":[0.003785104,0.001493373,0.05634545,0.0005304038,0.0026535608,0.00022304554,0.0011716252,0.6559851,0.010257162,0.1381992,0.086949684,0.042406254],"study_design_scores_gemma":[0.007142173,0.00025145774,0.05367199,0.00038277937,0.0010381702,0.0018262037,0.011273618,0.11448126,0.018033007,0.2343431,0.5544,0.0031561935],"about_ca_topic_score_codex":0.000021935542,"about_ca_topic_score_gemma":0.00023133271,"teacher_disagreement_score":0.5415039,"about_ca_system_score_codex":0.00015906336,"about_ca_system_score_gemma":0.00007129324,"threshold_uncertainty_score":0.74462044},"labels":[],"label_agreement":null},{"id":"W2038171328","doi":"10.1016/j.ijpe.2014.12.019","title":"CSR related management practices and firm performance: An empirical analysis of the quantity–quality trade-off on French data","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":167,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Corporate social responsibility; Profitability index; Dimension (graph theory); Business; Quality (philosophy); Industrial organization; Empirical research; Marketing; Set (abstract data type); Affect (linguistics); Microeconomics; Economics; Computer science; Statistics; Public relations; Mathematics","score_opus":0.10269758834557977,"score_gpt":0.3654734375344885,"score_spread":0.26277584918890873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038171328","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":[0.9917533,0.0000161347,0.00004420402,0.0059209852,0.0014027314,0.00008569985,0.0000036812587,0.000007799319,0.00076545984],"genre_scores_gemma":[0.9986582,0.00008648917,0.00019290374,0.00024220014,0.0007096154,6.0653355e-7,0.000021389164,0.0000069801577,0.000081659404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845093,0.00006598111,0.0008677099,0.00025623146,0.00028092187,0.00007824908],"domain_scores_gemma":[0.9953546,0.00008485581,0.003859156,0.00040147148,0.00028731982,0.000012588597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037357302,0.00008721589,0.00022182481,0.00037142372,0.00009362243,0.00015808927,0.0005385558,0.000041172054,0.000032022457],"category_scores_gemma":[0.0018545146,0.000070391325,0.000093041774,0.00031984164,0.00007562172,0.001882126,0.0002182395,0.00017992101,0.0000024379024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022393838,0.000274989,0.9029454,0.000045030025,0.0012974067,0.0000016418788,0.00016658418,0.008969603,0.00012140306,0.00344336,0.0003073521,0.08220331],"study_design_scores_gemma":[0.00023018313,0.00002169007,0.95019764,0.00002406739,0.00042856403,0.000009660225,0.00022394888,0.034909695,0.00005729667,0.0014285373,0.012382035,0.00008671171],"about_ca_topic_score_codex":0.000081145794,"about_ca_topic_score_gemma":0.0002151124,"teacher_disagreement_score":0.0821166,"about_ca_system_score_codex":0.00007784813,"about_ca_system_score_gemma":0.000040122308,"threshold_uncertainty_score":0.2870475},"labels":[],"label_agreement":null},{"id":"W2039573857","doi":"10.1016/j.ijpe.2009.04.018","title":"Production costs, scope economies, and multi-client outsourcing under quantity competition","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Outsourcing; Scope (computer science); Economies of scope; Industrial organization; Production (economics); Business; Competition (biology); Vendor; Microeconomics; Supply chain; Economics; Economies of scale; Marketing","score_opus":0.02124892892844553,"score_gpt":0.24024232485143593,"score_spread":0.21899339592299039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039573857","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":[0.942373,0.00018363248,0.010112706,0.037871134,0.008088555,0.00022688792,0.0000021283645,0.00005039335,0.0010916042],"genre_scores_gemma":[0.99196887,0.00038414495,0.001307582,0.0013310122,0.004636406,0.0000017021954,0.00001569881,0.000014401413,0.00034020617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884945,0.000014950951,0.0005681508,0.00027570146,0.00014559778,0.00014614977],"domain_scores_gemma":[0.9986809,0.000012530253,0.0007352343,0.00013903907,0.00041137435,0.000020917469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083866814,0.00015005455,0.00020553225,0.00049225596,0.00013088761,0.00039730675,0.00021615093,0.000043722743,0.00004701376],"category_scores_gemma":[0.00016213031,0.00015398342,0.00008319847,0.000077284414,0.000050661656,0.0017751706,0.00006444906,0.00017025393,0.00004295273],"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":[0.000956028,0.0016736201,0.07626249,0.00015422319,0.0008599476,0.00002880943,0.0006179924,0.5706506,0.0038702881,0.1529888,0.017518185,0.17441905],"study_design_scores_gemma":[0.008634323,0.0003787661,0.42168128,0.0011329171,0.00056809746,0.00089155737,0.007874963,0.08564328,0.004635962,0.030939775,0.43521807,0.0024010064],"about_ca_topic_score_codex":0.00007260562,"about_ca_topic_score_gemma":0.00009719609,"teacher_disagreement_score":0.4850073,"about_ca_system_score_codex":0.00031450886,"about_ca_system_score_gemma":0.000026866626,"threshold_uncertainty_score":0.6279262},"labels":[],"label_agreement":null},{"id":"W2040307910","doi":"10.1016/j.ijpe.2010.12.001","title":"Design for rebirth (DFRb) and data structure","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data structure; Product lifecycle; Representation (politics); Product (mathematics); New product development; Boundary (topology); Systems engineering; Industrial engineering; Business; Engineering; Mathematics","score_opus":0.022053595314723572,"score_gpt":0.24638521230479365,"score_spread":0.2243316169900701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040307910","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":[0.76137406,0.00009894018,0.22696872,0.0012719551,0.010024087,0.00012770723,0.000053443164,0.00002861706,0.00005250416],"genre_scores_gemma":[0.931815,0.00032268235,0.066320986,0.000023199767,0.0014394036,8.7871456e-7,0.000021332115,0.000013917131,0.000042559794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962133,0.0000030108345,0.0001974094,0.00009047052,0.00004001371,0.000047785416],"domain_scores_gemma":[0.99959445,0.000018311526,0.000110631205,0.000111044574,0.00013909895,0.000026458225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019340235,0.00005412738,0.0000690919,0.00008210021,0.000020264935,0.00006417397,0.00023851336,0.000035455396,0.00002640639],"category_scores_gemma":[0.00008272997,0.000052156094,0.000012331476,0.000010733207,0.000013773853,0.00048582314,0.000022097027,0.00011558654,4.2235988e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008208895,0.000013561842,0.0001990364,0.000029636854,0.00016006823,7.302013e-7,0.00018496069,0.9250515,0.0051929057,0.00064016227,0.0028898614,0.0655555],"study_design_scores_gemma":[0.0015318831,0.00010258308,0.0019486126,0.000040193594,0.00007254646,0.0009591205,0.00008931046,0.6510797,0.15835191,0.021278258,0.16410103,0.00044483342],"about_ca_topic_score_codex":5.6346056e-7,"about_ca_topic_score_gemma":0.0000067860874,"teacher_disagreement_score":0.27397177,"about_ca_system_score_codex":0.000019104255,"about_ca_system_score_gemma":0.00002104707,"threshold_uncertainty_score":0.21268637},"labels":[],"label_agreement":null},{"id":"W2041628555","doi":"10.1016/j.ijpe.2011.12.021","title":"Integrating noncyclical preventive maintenance scheduling and production planning for a single machine","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preventive maintenance; Time horizon; Production (economics); Sizing; Production planning; Scheduling (production processes); Computer science; Operations research; Planned maintenance; Holding cost; Corrective maintenance; Reliability engineering; Total cost; Constraint (computer-aided design); Operations management; Mathematical optimization; Engineering; Economics; Mathematics; Microeconomics","score_opus":0.02160655366941448,"score_gpt":0.23157043459629947,"score_spread":0.209963880926885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041628555","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":[0.7666981,0.00028712756,0.22532934,0.00080254517,0.005914318,0.00026429576,0.000007594856,0.000047081787,0.0006495463],"genre_scores_gemma":[0.9123082,0.00041744398,0.086383484,0.000020568305,0.00076277554,0.000010362976,0.0000057959273,0.000020538553,0.00007079033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999196,0.000014087897,0.0004621489,0.00015519463,0.000060807448,0.00011175277],"domain_scores_gemma":[0.9992247,0.00002470821,0.00025170256,0.000072597344,0.00038619913,0.000040092586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004387574,0.00010287399,0.00014782447,0.00014089853,0.000040558738,0.000038196904,0.00011957752,0.000048156064,0.000007726518],"category_scores_gemma":[0.00052786566,0.00009934663,0.00006505792,0.00004015017,0.00004704513,0.00066345284,0.000017861732,0.00015437514,8.5013534e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010694732,0.00038621618,0.0058555016,0.00016878342,0.0007396068,0.000008239165,0.0068840664,0.85536206,0.038489956,0.006039018,0.0008002663,0.08419679],"study_design_scores_gemma":[0.0034090169,0.0010612351,0.004536646,0.0016261889,0.00022814846,0.0031531788,0.0046579824,0.5801909,0.3371309,0.0500284,0.012747696,0.0012297044],"about_ca_topic_score_codex":0.0000035224134,"about_ca_topic_score_gemma":0.000006227843,"teacher_disagreement_score":0.29864094,"about_ca_system_score_codex":0.00018062626,"about_ca_system_score_gemma":0.000021057733,"threshold_uncertainty_score":0.4051238},"labels":[],"label_agreement":null},{"id":"W2042492193","doi":"10.1016/j.ijpe.2007.12.001","title":"A dynamic approach to measure machine and routing flexibilities of manufacturing systems","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick; Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Computer science; Measure (data warehouse); Routing (electronic design automation); Flexible manufacturing system; Production (economics); Industrial engineering; Machine tool; Manufacturing; Manufacturing engineering; Set (abstract data type); Reliability engineering; Engineering; Operations management; Data mining; Scheduling (production processes); Economics; Embedded system; Business","score_opus":0.01530228820845698,"score_gpt":0.21608470557003287,"score_spread":0.2007824173615759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042492193","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":[0.9827822,0.00013148761,0.011013374,0.00084308273,0.002948846,0.00014380085,0.000001384981,0.000014523491,0.0021213307],"genre_scores_gemma":[0.9967021,0.000024507794,0.0017417367,0.00008543576,0.0012282253,0.0000011254704,0.000007667696,0.000012103694,0.00019712775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99901795,0.0000051970337,0.00056360726,0.00015236654,0.0001603103,0.00010057149],"domain_scores_gemma":[0.99884045,0.000012359012,0.00062561425,0.00007597912,0.0004324049,0.000013214503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014025181,0.00009210059,0.00016072781,0.0004810165,0.00004440779,0.00011829117,0.00017997637,0.000030641175,0.000005357891],"category_scores_gemma":[0.00018267862,0.000088087756,0.00003877724,0.0000686434,0.000023538072,0.0009550563,0.000064424676,0.00008680342,0.000003589692],"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":[0.004592127,0.0012830151,0.12016671,0.0013976491,0.0025065586,0.000022867422,0.0064269775,0.3680999,0.015754227,0.117866576,0.0027670478,0.35911635],"study_design_scores_gemma":[0.013204838,0.00030267137,0.45813435,0.0024916038,0.00087460264,0.0031657924,0.036517262,0.15862128,0.12057352,0.033531822,0.16796054,0.0046217125],"about_ca_topic_score_codex":0.00003399711,"about_ca_topic_score_gemma":0.000013669905,"teacher_disagreement_score":0.35449463,"about_ca_system_score_codex":0.000120253564,"about_ca_system_score_gemma":0.00002423997,"threshold_uncertainty_score":0.35921144},"labels":[],"label_agreement":null},{"id":"W2042556403","doi":"10.1016/j.ijpe.2007.12.006","title":"Alternative secondary goals in DEA cross-efficiency evaluation","year":2008,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":285,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Natural Science Foundation of China","keywords":"Data envelopment analysis; Weighting; Ranking (information retrieval); Computer science; Extension (predicate logic); A priori and a posteriori; Efficiency; Operations research; Mathematical optimization; Rank (graph theory); Mathematics; Statistics; Artificial intelligence","score_opus":0.1249228578045432,"score_gpt":0.42402748076562774,"score_spread":0.29910462296108453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042556403","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":[0.9843031,0.00022126517,0.0042692893,0.0022086569,0.006627238,0.00012338764,0.000008318657,0.0000069258776,0.0022317816],"genre_scores_gemma":[0.99707407,0.00017879653,0.0009397554,0.00016984566,0.0010981795,0.0000033050378,0.0000037142731,0.000010776386,0.0005215604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99549735,0.0003000606,0.0019842768,0.00045998167,0.0015720087,0.00018634401],"domain_scores_gemma":[0.9936487,0.000372492,0.0018541788,0.00033366337,0.0037128513,0.0000780775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00945,0.00014655705,0.0003430778,0.0015937868,0.000119817916,0.00022772278,0.0013205337,0.000069198264,0.0006139187],"category_scores_gemma":[0.0075737345,0.00012923652,0.00023679176,0.00052309415,0.00024102937,0.0017936551,0.00009533221,0.0003313896,0.00014768941],"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":[0.00018275763,0.0003942842,0.095291585,0.0000011032666,0.000119435594,0.000046156187,0.0017290325,0.8512735,0.00070424087,0.0012167892,0.0012586063,0.04778254],"study_design_scores_gemma":[0.0054769693,0.00042684673,0.48698983,0.00011062169,0.00008995113,0.00454181,0.0013557471,0.2676708,0.02920286,0.17553721,0.027649894,0.0009474407],"about_ca_topic_score_codex":0.000039377555,"about_ca_topic_score_gemma":0.00005817562,"teacher_disagreement_score":0.58360267,"about_ca_system_score_codex":0.00070240523,"about_ca_system_score_gemma":0.0007221085,"threshold_uncertainty_score":0.90670145},"labels":[],"label_agreement":null},{"id":"W2045604025","doi":"10.1016/j.ijpe.2008.11.015","title":"A continuous model for supply planning of assembly systems with stochastic component procurement times","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada; Concordia University","funders":"","keywords":"Component (thermodynamics); Procurement; Computer science; Key (lock); Product (mathematics); Mathematical optimization; Function (biology); Set (abstract data type); Supply chain; Operations research; Business; Mathematics","score_opus":0.012359819969582544,"score_gpt":0.23256743015879494,"score_spread":0.2202076101892124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045604025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35595733,0.00012959109,0.64218396,0.00036439399,0.0010355822,0.00023602872,0.000011816011,0.000024282434,0.0000570084],"genre_scores_gemma":[0.98548883,0.000020255242,0.013919382,0.000011845844,0.00046778124,0.0000065405957,0.000013560384,0.000017503158,0.00005431427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915653,0.000006403403,0.0005180247,0.00009406411,0.00013159477,0.000093357085],"domain_scores_gemma":[0.9989028,0.00002079596,0.00041677497,0.000071699935,0.00055461697,0.000033315955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023144989,0.00010144244,0.00021779879,0.00018155547,0.000017975724,0.00003715839,0.00014544994,0.00003197523,0.0000010772122],"category_scores_gemma":[0.000042560157,0.00009626367,0.000047744077,0.000028446839,0.000010763343,0.0002974856,0.0000054649004,0.000077493234,4.795208e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015505507,0.000048534457,0.0001209258,0.000018608775,0.00014908293,6.965064e-7,0.00024342678,0.9955693,0.0021874283,0.00046338447,0.0004946412,0.00054893206],"study_design_scores_gemma":[0.00060993707,0.00016583185,0.0002679395,0.00016870166,0.00003300419,0.00012219098,0.00009531352,0.99555516,0.00261645,0.00017473268,0.00009370549,0.000097050644],"about_ca_topic_score_codex":0.0000010908695,"about_ca_topic_score_gemma":8.422165e-7,"teacher_disagreement_score":0.6295315,"about_ca_system_score_codex":0.00020705747,"about_ca_system_score_gemma":0.00006424268,"threshold_uncertainty_score":0.39255184},"labels":[],"label_agreement":null},{"id":"W2045944588","doi":"10.1016/j.ijpe.2005.03.011","title":"Designing logistics networks in divergent process industries: A methodology and its application to the lumber industry","year":2005,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Process (computing); Production (economics); Profit (economics); Context (archaeology); Operations research; Manufacturing engineering; Economics; Engineering","score_opus":0.044801855233346094,"score_gpt":0.29002618470672376,"score_spread":0.24522432947337766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045944588","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":[0.8257416,0.00015480646,0.10936,0.061317746,0.0024246247,0.00060027215,0.0000011501885,0.000018858971,0.0003809698],"genre_scores_gemma":[0.9917596,0.000059275295,0.00092897407,0.001863161,0.005195979,0.000024259829,0.000003337979,0.000012252619,0.00015317781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908966,0.000026165675,0.00044408283,0.00017865803,0.000118840384,0.00014257312],"domain_scores_gemma":[0.99883085,0.000051244082,0.00049306103,0.00008851174,0.0005213509,0.000014986466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536794,0.00009755209,0.00012980793,0.00037439578,0.00006117531,0.00013147184,0.0003430271,0.0000887156,0.00003369748],"category_scores_gemma":[0.00076880655,0.00008641798,0.000023275632,0.0002223784,0.000026575004,0.0008272633,0.00015400164,0.0003492305,0.000011658819],"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":[0.000082946,0.00004659328,0.014225648,0.000012191146,0.000060865896,0.0000034793281,0.00019808646,0.94428533,0.000022736269,0.004870046,0.0016913812,0.03450067],"study_design_scores_gemma":[0.0022424578,0.000068152505,0.033615496,0.00016948725,0.00019971316,0.00021072892,0.0154633345,0.33410776,0.0015891776,0.015806306,0.59569603,0.00083135767],"about_ca_topic_score_codex":0.000037715865,"about_ca_topic_score_gemma":0.00009278392,"teacher_disagreement_score":0.6101776,"about_ca_system_score_codex":0.0002383376,"about_ca_system_score_gemma":0.00004234676,"threshold_uncertainty_score":0.3524023},"labels":[],"label_agreement":null},{"id":"W2046441468","doi":"10.1016/j.ijpe.2011.06.015","title":"A novel differential evolution algorithm for joint replenishment problem under interdependence and its application","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Henan University of Science and Technology; National Natural Science Foundation of China","keywords":"Algorithm; Computer science; Joint (building); Evolutionary algorithm; Mathematical optimization; Differential evolution; Integer (computer science); Mathematics","score_opus":0.043153942125693824,"score_gpt":0.23011986473591983,"score_spread":0.18696592261022602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046441468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18328905,0.00007536714,0.80524236,0.0036927771,0.0059015765,0.0007300977,0.000009079831,0.000036182944,0.0010234973],"genre_scores_gemma":[0.98884326,0.00005136949,0.0074886857,0.00031109876,0.0030009875,0.000040269817,0.000014656779,0.000016713071,0.00023292721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906385,0.0000041031294,0.00047881497,0.00021850211,0.00012893273,0.000105825486],"domain_scores_gemma":[0.9986816,0.0000058470064,0.0006951383,0.00008834741,0.0005143478,0.000014686673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039724252,0.00010716943,0.00012847915,0.00030124086,0.00005960378,0.000099417106,0.00020793219,0.000034985165,0.00007030341],"category_scores_gemma":[0.00003683181,0.0001057223,0.00007979923,0.000041964373,0.000028624485,0.0012376182,0.000106629406,0.00007851077,0.000011933628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087609066,0.0019237098,0.0019788288,0.000264544,0.0013509773,0.0000039720157,0.00076832675,0.0025496355,0.025636332,0.5467429,0.0055892267,0.41231543],"study_design_scores_gemma":[0.009484863,0.000458703,0.030820277,0.00044075534,0.0006353841,0.0005201619,0.0036750564,0.5315448,0.023680668,0.2711541,0.12598255,0.0016026602],"about_ca_topic_score_codex":0.000040542545,"about_ca_topic_score_gemma":0.000016178956,"teacher_disagreement_score":0.8055542,"about_ca_system_score_codex":0.0001967346,"about_ca_system_score_gemma":0.000021248758,"threshold_uncertainty_score":0.43112302},"labels":[],"label_agreement":null},{"id":"W2047305476","doi":"10.1016/j.ijpe.2011.08.018","title":"Vendor managed inventory (VMI) with consignment considering learning and forgetting effects","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Consignment; Vendor; Supply chain; Production (economics); Vendor-managed inventory; Flexibility (engineering); Computer science; Business; Operations management; Supply chain management; Operations research; Marketing; Economics; Microeconomics; Engineering","score_opus":0.020696740959923705,"score_gpt":0.20095821000483186,"score_spread":0.18026146904490814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047305476","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":[0.9878809,0.00013032665,0.0006989842,0.0009347908,0.0029080755,0.00017320891,1.8238228e-7,0.00003064692,0.0072428915],"genre_scores_gemma":[0.9968196,0.00009165836,0.001084738,0.00043477543,0.0012718214,0.000005392151,0.0000021028682,0.000019853418,0.0002700302],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922466,0.000014262201,0.00033678525,0.0001677529,0.00013314234,0.0001234027],"domain_scores_gemma":[0.999075,0.00001956916,0.0006316234,0.00006653219,0.00018961677,0.00001767844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000508609,0.000116834526,0.00015046836,0.000344748,0.000083674924,0.00013096466,0.0001454411,0.000023128854,0.00008264053],"category_scores_gemma":[0.00014230589,0.00010919942,0.000048167294,0.000046477548,0.0000658044,0.0011003595,0.0001014797,0.0001542,0.000013769807],"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":[0.0023270086,0.00093405915,0.65934134,0.0012750775,0.0043399595,0.00078334525,0.004351752,0.013446254,0.0035940898,0.14761992,0.00775737,0.15422982],"study_design_scores_gemma":[0.01370534,0.00080819713,0.047615983,0.0018417754,0.0010220122,0.0018434832,0.013257759,0.018714866,0.027305434,0.047729734,0.8236959,0.0024595426],"about_ca_topic_score_codex":0.000019375655,"about_ca_topic_score_gemma":0.000008501391,"teacher_disagreement_score":0.81593853,"about_ca_system_score_codex":0.000092441645,"about_ca_system_score_gemma":0.00001807575,"threshold_uncertainty_score":0.4453023},"labels":[],"label_agreement":null},{"id":"W2047370787","doi":"10.1016/j.ijpe.2007.01.010","title":"Production planning with limited inventory capacity and allowed stockout","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stockout; Production (economics); Production planning; Computer science; Capacity planning; Limiting; Integrated production; Material requirements planning; Operations research; Mathematical optimization; Mathematics; Economics; Microeconomics; Engineering","score_opus":0.03323554588805524,"score_gpt":0.23244696813956903,"score_spread":0.19921142225151378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047370787","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":[0.9884128,0.000054785985,0.0009187091,0.0035339731,0.0049519483,0.0001361569,4.0361462e-7,0.000025747635,0.0019654678],"genre_scores_gemma":[0.99242544,0.000039928007,0.00059898675,0.0006565091,0.0058970987,0.0000020295445,0.000006269822,0.000017321423,0.00035641433],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990403,0.0000069061866,0.00042169623,0.00020008224,0.00019460864,0.00013642038],"domain_scores_gemma":[0.9987472,0.000010423013,0.0006589848,0.00010279253,0.00046011,0.000020479483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057728,0.000119635646,0.00013698361,0.0005681306,0.00007614686,0.00015691783,0.00018306366,0.000034485623,0.00003732507],"category_scores_gemma":[0.0001582418,0.00010944228,0.000046030375,0.00009654631,0.00007455926,0.001719557,0.000057034733,0.00015558735,0.00001037113],"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":[0.005055785,0.0012470298,0.7549335,0.00033432298,0.002543601,0.00016617909,0.002452189,0.057277255,0.007523295,0.043592483,0.04889881,0.07597555],"study_design_scores_gemma":[0.0036871126,0.00023356773,0.19334272,0.00050116144,0.00028049608,0.00076300243,0.005023411,0.004123284,0.005840956,0.007471294,0.77772313,0.0010098871],"about_ca_topic_score_codex":0.000027539301,"about_ca_topic_score_gemma":0.00004277632,"teacher_disagreement_score":0.7288243,"about_ca_system_score_codex":0.00015861675,"about_ca_system_score_gemma":0.000020043371,"threshold_uncertainty_score":0.44629264},"labels":[],"label_agreement":null},{"id":"W2049806837","doi":"10.1016/j.ijpe.2012.01.042","title":"A literature review and a case study of sustainable supply chains with a focus on metrics","year":2012,"lang":"en","type":"review","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1047,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Ontario Institute of Technology; McMaster University","funders":"U.S. Department of Energy","keywords":"Supply chain; Supply chain management; Supply chain risk management; Focus (optics); Process management; Sustainability; Business; Environmental economics; Service management; Computer science; Operations management; Management science; Marketing; Economics","score_opus":0.027935030558001894,"score_gpt":0.27699999014566157,"score_spread":0.24906495958765967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049806837","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018061594,0.99408543,0.000024219782,0.0010560392,0.00093659945,0.001775834,0.0000070621327,0.000012432283,0.0002962486],"genre_scores_gemma":[0.0077918465,0.9883541,0.00009265482,0.00020613502,0.002675967,0.00005868577,0.000017144983,0.000060283648,0.00074320345],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978948,0.00005597848,0.0011461924,0.00034569274,0.00030505087,0.00025226964],"domain_scores_gemma":[0.994895,0.00006961764,0.00299144,0.00031879082,0.0016957186,0.000029481333],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015987495,0.00037873635,0.0012186709,0.0024196114,0.00007465667,0.00032057273,0.00046253446,0.000089484456,0.00003673319],"category_scores_gemma":[0.0003401012,0.00028997057,0.00020788846,0.0007872474,0.000041991654,0.0015560002,0.00026181882,0.00044479023,0.000004883278],"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":[0.00019004452,0.002064359,0.0004043776,0.08436769,0.0041189226,0.0077859913,0.0006485252,0.0002637831,2.1982247e-8,0.01945801,0.0038076025,0.87689066],"study_design_scores_gemma":[0.0006586852,0.00019085935,0.000008278533,0.009008506,0.0033623297,0.006168477,0.0043899706,0.000009322229,1.5741979e-7,0.00023211823,0.97565114,0.00032017796],"about_ca_topic_score_codex":0.00012237031,"about_ca_topic_score_gemma":0.000036113124,"teacher_disagreement_score":0.97184354,"about_ca_system_score_codex":0.00045690508,"about_ca_system_score_gemma":0.00012728147,"threshold_uncertainty_score":0.99995524},"labels":[],"label_agreement":null},{"id":"W2050908830","doi":"10.1016/j.ijpe.2007.05.010","title":"Exploring the impact of RFID technology and the EPC network on mobile B2B eCommerce: A case study in the retail industry","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"RFID technology advancements","field":"Engineering","cited_by":255,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Procter and Gamble","keywords":"Radio-frequency identification; Supply chain; Synchronization (alternating current); Computer science; Product (mathematics); Process (computing); Process management; Business; Business process; Identification (biology); Supply chain management; Telecommunications; Marketing; Computer security; Work in process","score_opus":0.045885842997405404,"score_gpt":0.3045693172329395,"score_spread":0.2586834742355341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050908830","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":[0.9969122,0.00013988228,0.00010492488,0.0013539181,0.0011351989,0.00026211367,0.0000013444671,0.000012965384,0.00007744947],"genre_scores_gemma":[0.9992064,0.00027030997,0.00008961515,0.000023634739,0.00037075102,0.000021322156,2.3515618e-7,0.000010407031,0.000007299413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991921,0.00004101205,0.0004794447,0.000089417255,0.00007855214,0.000119464654],"domain_scores_gemma":[0.99929523,0.00014182448,0.00024755902,0.00021399147,0.000089015724,0.000012387186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016547596,0.00009292927,0.00014718417,0.0003062785,0.00005221729,0.00001943513,0.00039043056,0.00006409006,0.0000068319205],"category_scores_gemma":[0.00011656762,0.000052560586,0.000048609854,0.0002014674,0.00013550774,0.00024515355,0.00004724509,0.00080458063,9.347578e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028064474,0.00017444055,0.09450281,0.0000027626263,0.0005619873,0.00016166516,0.002300466,0.83879364,0.0000716264,0.0012569724,0.00016601763,0.06172695],"study_design_scores_gemma":[0.022826336,0.0048001115,0.58053154,0.00052596844,0.00040632777,0.091795124,0.20481262,0.024841076,0.013772495,0.044223182,0.010000135,0.0014651028],"about_ca_topic_score_codex":0.000021599377,"about_ca_topic_score_gemma":0.000072581635,"teacher_disagreement_score":0.81395257,"about_ca_system_score_codex":0.00019136001,"about_ca_system_score_gemma":0.00001677498,"threshold_uncertainty_score":0.34955475},"labels":[],"label_agreement":null},{"id":"W2052062282","doi":"10.1016/j.ijpe.2006.09.018","title":"Optimal safety stocks and preventive maintenance periods in unreliable manufacturing systems","year":2006,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Preventive maintenance; Corrective maintenance; Production (economics); Computer science; Planned maintenance; Safety stock; Context (archaeology); Operations research; Stock (firearms); Reliability engineering; Predictive maintenance; Order (exchange); Point (geometry); Work (physics); Operations management; Proactive maintenance; Risk analysis (engineering); Business; Economics; Engineering; Mathematics; Microeconomics","score_opus":0.0031789850827178786,"score_gpt":0.18253321131498043,"score_spread":0.17935422623226255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052062282","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":[0.97097516,0.00029172038,0.023271594,0.0004477074,0.004007825,0.00013755429,0.000007832264,0.000019243565,0.00084135163],"genre_scores_gemma":[0.99469966,0.0011456475,0.003161612,0.0000071679,0.0005107838,0.000004334225,0.0000054375164,0.000013982847,0.00045140059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991653,0.00001652799,0.0005115706,0.00011972054,0.00007303645,0.000113830145],"domain_scores_gemma":[0.99957234,0.000019098381,0.00017285673,0.000068811576,0.00014162398,0.00002526799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037086528,0.00009167234,0.00015398368,0.00016829142,0.000022350732,0.00006906445,0.00011525688,0.000046936842,0.0000107920105],"category_scores_gemma":[0.00004126312,0.000093547525,0.000039903123,0.000030497904,0.000034331853,0.00057314103,0.000018323472,0.00015228531,0.0000019351692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006104435,0.000022323484,0.00090255955,0.000016308617,0.000031757885,0.0000034755435,0.00008585938,0.9963078,0.00015658309,0.0006363376,0.00038211714,0.0013938594],"study_design_scores_gemma":[0.00398923,0.00021617621,0.06206432,0.00097291335,0.000057685946,0.0018962261,0.0018899037,0.8159016,0.023276174,0.005512148,0.08328139,0.0009422768],"about_ca_topic_score_codex":0.000041074825,"about_ca_topic_score_gemma":0.000024759564,"teacher_disagreement_score":0.18040621,"about_ca_system_score_codex":0.0004129009,"about_ca_system_score_gemma":0.000025134797,"threshold_uncertainty_score":0.38147575},"labels":[],"label_agreement":null},{"id":"W2055063007","doi":"10.1016/j.ijpe.2007.02.031","title":"Meta-heuristics for scheduling a flowline manufacturing cell with sequence dependent family setup times","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Manitoba","funders":"","keywords":"Job shop scheduling; Heuristics; Computer science; Mathematical optimization; Tabu search; Simulated annealing; Scheduling (production processes); Meta heuristic; Metaheuristic; Algorithm; Mathematics; Schedule","score_opus":0.03375852091847666,"score_gpt":0.24805551411129678,"score_spread":0.2142969931928201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055063007","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":[0.3612905,0.000294991,0.6344991,0.00026761214,0.0032604567,0.00010006834,0.000020835714,0.00004582972,0.0002206373],"genre_scores_gemma":[0.61884683,0.00026299877,0.37928203,0.00006055527,0.0012880818,0.0000034451705,0.000013260999,0.000032479926,0.00021028965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901605,0.000006976747,0.0005374731,0.00014040033,0.00014892383,0.00015019046],"domain_scores_gemma":[0.999127,0.00006306012,0.0002636961,0.00009787042,0.00037339234,0.00007498454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000648347,0.0001392951,0.00020749598,0.00023576604,0.00004250692,0.000076026074,0.00021657972,0.000050427436,0.000027696928],"category_scores_gemma":[0.00004644437,0.00012537006,0.00011021641,0.000035802914,0.0000225379,0.00032493737,0.000013202862,0.00017891703,0.0000050569133],"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":[0.00008608209,0.000026935852,0.000036568024,0.000014041236,0.0007494225,0.000007639755,0.00008859543,0.9952133,0.0009559221,0.00006434934,0.000052884145,0.0027042052],"study_design_scores_gemma":[0.0020637084,0.00018673377,0.00015853773,0.0000662372,0.00076808914,0.0008044207,0.0006892123,0.46382043,0.52366173,0.0011028909,0.0060995542,0.00057844067],"about_ca_topic_score_codex":0.0000017330392,"about_ca_topic_score_gemma":0.0000041950107,"teacher_disagreement_score":0.53139293,"about_ca_system_score_codex":0.00020423191,"about_ca_system_score_gemma":0.000052274918,"threshold_uncertainty_score":0.51124424},"labels":[],"label_agreement":null},{"id":"W2057624490","doi":"10.1016/s0925-5273(00)00042-6","title":"Minimizing the expected total value of shortages for a population of items subject to practical restrictions on the reorder points","year":2001,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economic shortage; Mathematical optimization; Reorder point; Heuristic; Computer science; Set (abstract data type); Population; Value (mathematics); Operations research; Simple (philosophy); Mathematics; Economic order quantity; Supply chain; Business","score_opus":0.04532531469926869,"score_gpt":0.29226665290182846,"score_spread":0.24694133820255976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057624490","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":[0.95861024,0.000010099463,0.0011553912,0.03604462,0.0027705426,0.00031764412,0.00000273303,0.000006502451,0.0010822526],"genre_scores_gemma":[0.99656534,0.000029926137,0.00049339,0.0005027221,0.0021923396,0.000013135776,0.0000069699663,0.000011031592,0.00018513715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99905336,0.000021842772,0.00053993514,0.000117606156,0.00018488597,0.000082374136],"domain_scores_gemma":[0.99848235,0.00014279115,0.0007439354,0.00013812374,0.00048458026,0.000008216498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079321576,0.00007801444,0.00012342261,0.00030911935,0.00008476831,0.000075659496,0.00020993041,0.000023679337,0.00005573363],"category_scores_gemma":[0.0010305025,0.00005416382,0.00011599368,0.00015225004,0.000029339913,0.0005463108,0.000046658028,0.000088552784,0.0000040744367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042901165,0.0015542163,0.09404087,0.00009327686,0.001644019,0.000008766946,0.0014790874,0.14136533,0.0035177288,0.6538863,0.079863355,0.018256921],"study_design_scores_gemma":[0.004353869,0.00081101176,0.486242,0.0007181606,0.0007180367,0.00035723567,0.016272413,0.041119415,0.00881395,0.052343503,0.3872619,0.0009885102],"about_ca_topic_score_codex":0.00009522253,"about_ca_topic_score_gemma":0.00002927335,"teacher_disagreement_score":0.60154283,"about_ca_system_score_codex":0.00007802312,"about_ca_system_score_gemma":0.000019025067,"threshold_uncertainty_score":0.22087364},"labels":[],"label_agreement":null},{"id":"W2058503288","doi":"10.1016/s0925-5273(00)00086-4","title":"The impact of worker differences on production system output","year":2002,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Productivity; Task (project management); Production (economics); Computer science; Production system (computer science); Operations management; Risk analysis (engineering); Business; Microeconomics; Economics","score_opus":0.021516446380096897,"score_gpt":0.23064784565550725,"score_spread":0.20913139927541036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058503288","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":[0.9856575,0.0002971625,0.00157035,0.00091697386,0.010684845,0.00006733,0.0000038800986,0.00003604028,0.0007659316],"genre_scores_gemma":[0.9962813,0.00076165755,0.0010659955,0.0000033465242,0.0015272066,0.0000018468553,9.115976e-7,0.000012501288,0.00034520525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999257,0.000020564734,0.00043628056,0.000082976396,0.00012569121,0.000077477234],"domain_scores_gemma":[0.999199,0.000034335048,0.00029160714,0.0001130914,0.00032926173,0.000032733944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676187,0.00008596063,0.00012322143,0.00014894329,0.000044611188,0.000056395635,0.00020536178,0.000033418364,0.000021957703],"category_scores_gemma":[0.00012962944,0.00005953639,0.00011341484,0.000060513452,0.00003401934,0.00020095125,0.000007578666,0.0001369777,0.000014959618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003711626,0.000037629736,0.0010742507,0.0000039809984,0.00026440452,6.5460785e-7,0.00018529267,0.9695485,0.00005912041,0.00020778857,0.0015255638,0.02705566],"study_design_scores_gemma":[0.000948486,0.00036183064,0.01945015,0.00034661323,0.000058467867,0.0007557007,0.001281255,0.9636316,0.010227589,0.000460129,0.0020911302,0.0003870479],"about_ca_topic_score_codex":0.0000026208097,"about_ca_topic_score_gemma":9.792864e-7,"teacher_disagreement_score":0.026668612,"about_ca_system_score_codex":0.0002656595,"about_ca_system_score_gemma":0.00001670976,"threshold_uncertainty_score":0.24278235},"labels":[],"label_agreement":null},{"id":"W2058642475","doi":"10.1016/j.ijpe.2004.06.001","title":"Evaluation of two simple extreme transshipment strategies","year":2004,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transshipment (information security); Computer science; Operations research; Economic shortage; Stock (firearms); Stocking; Extreme point; Set (abstract data type); Service (business); Mathematical optimization; Business; Mathematics; Marketing","score_opus":0.0855679889349906,"score_gpt":0.29352288135467924,"score_spread":0.20795489241968865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058642475","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":[0.9832073,0.00007918442,0.001766212,0.0038570084,0.004963236,0.0001567449,0.0000014769495,0.000010674758,0.00595815],"genre_scores_gemma":[0.99611163,0.00004505045,0.00027836463,0.0002088522,0.0033060207,0.0000037883005,0.000009491386,0.000009696946,0.000027128843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988145,0.000012572583,0.0005248324,0.000119671255,0.0004463371,0.00008204898],"domain_scores_gemma":[0.99801123,0.000005493686,0.0006686243,0.00009597376,0.0012102124,0.000008443521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017039507,0.00008577676,0.00012469165,0.00035835625,0.000030321627,0.00012723461,0.0002561163,0.000018892399,0.00030310114],"category_scores_gemma":[0.00008933606,0.00008503474,0.000098986566,0.00007055528,0.000036426492,0.0018564158,0.000030490663,0.0000680658,0.000020072495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014405142,0.0004524478,0.0019725312,0.000040822197,0.00055688585,0.0000039307342,0.0003426098,0.79743737,0.0026750218,0.14473249,0.0016651109,0.049976718],"study_design_scores_gemma":[0.008724301,0.000102779064,0.009935893,0.00017102053,0.0006579369,0.00006232322,0.0051951623,0.010191564,0.0124822715,0.8505961,0.10138595,0.00049473],"about_ca_topic_score_codex":0.00008225187,"about_ca_topic_score_gemma":0.0000984729,"teacher_disagreement_score":0.7872458,"about_ca_system_score_codex":0.00029342787,"about_ca_system_score_gemma":0.0001288589,"threshold_uncertainty_score":0.34676164},"labels":[],"label_agreement":null},{"id":"W2058764811","doi":"10.1016/j.ijpe.2008.05.007","title":"Economic production quantity model for items with imperfect quality subject to learning effects","year":2008,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":203,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Toronto Metropolitan University","funders":"","keywords":"Imperfect; Automotive industry; Production (economics); Quality (philosophy); Computer science; Work (physics); Subject (documents); Operations research; Economics; Econometrics; Artificial intelligence; Microeconomics; Mathematics; Engineering","score_opus":0.03756225558655171,"score_gpt":0.27086258552868203,"score_spread":0.23330032994213032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058764811","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":[0.9794105,0.000019333984,0.010666773,0.003503921,0.005570109,0.00041735207,0.0000017410564,0.000035519806,0.00037474465],"genre_scores_gemma":[0.9912505,0.000067476445,0.0011757227,0.00044955953,0.0060450104,0.000026148062,0.00001334483,0.000029001012,0.00094321684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881953,0.000017878087,0.0005334318,0.00030607614,0.00015537914,0.0001677211],"domain_scores_gemma":[0.9985958,0.00003329377,0.00073861907,0.00014357419,0.00046516597,0.000023594623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010494847,0.00015628422,0.0002415383,0.0004745167,0.00016594007,0.00014230443,0.00028272026,0.000035462137,0.000021206724],"category_scores_gemma":[0.00038593455,0.00014784755,0.00013543728,0.000072405965,0.000043218224,0.0017611408,0.00006133452,0.00014103796,0.00004857867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011586382,0.00016565983,0.040736046,0.00010461857,0.0003301686,0.000004161515,0.0003017792,0.93615574,0.0012110227,0.0071272636,0.008432481,0.004272411],"study_design_scores_gemma":[0.009216465,0.0011434897,0.08011424,0.0005130605,0.00047962202,0.0007131092,0.0016835907,0.5397203,0.025645223,0.010753318,0.32728466,0.0027329277],"about_ca_topic_score_codex":0.00009706174,"about_ca_topic_score_gemma":0.00016411014,"teacher_disagreement_score":0.39643544,"about_ca_system_score_codex":0.00036577703,"about_ca_system_score_gemma":0.0000796262,"threshold_uncertainty_score":0.6029048},"labels":[],"label_agreement":null},{"id":"W2061871813","doi":"10.1016/j.ijpe.2014.12.022","title":"Distribution channel strategies in a mixed market","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Distribution (mathematics); Channel (broadcasting); Business; Econometrics; Economics; Mathematics; Computer science; Telecommunications","score_opus":0.01730061346665462,"score_gpt":0.220058273250689,"score_spread":0.20275765978403437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061871813","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":[0.89815646,0.00029712144,0.061901398,0.010290626,0.008879973,0.00008337743,0.000075774784,0.000015897023,0.020299383],"genre_scores_gemma":[0.9979319,0.00043990932,0.00025938032,0.00009625521,0.00079045614,0.0000028585291,0.000022706801,0.000007642818,0.00044888942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988248,0.00002677319,0.0008345944,0.0001736086,0.0000377461,0.000102501486],"domain_scores_gemma":[0.9989697,0.000020874508,0.0007038836,0.00011461169,0.00014735278,0.00004361779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010346251,0.000082654675,0.00024234498,0.00037167108,0.000024118277,0.00009666884,0.00024511226,0.00004242243,0.00047530248],"category_scores_gemma":[0.00020985733,0.00009755567,0.00013323058,0.00010160154,0.000030935033,0.0005795857,0.0000223682,0.00012416419,0.0000704592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024944067,0.0004396232,0.025685813,0.000017971324,0.00042913135,0.0000063889574,0.00043176574,0.039539907,0.000084978514,0.9162399,0.008785341,0.008089709],"study_design_scores_gemma":[0.0018249296,0.00014416034,0.14664418,0.000060987437,0.000019743557,0.00017729809,0.0008729028,0.030911729,0.00070676167,0.5282454,0.2899061,0.00048581013],"about_ca_topic_score_codex":0.000030931184,"about_ca_topic_score_gemma":0.00005600873,"teacher_disagreement_score":0.38799453,"about_ca_system_score_codex":0.00019894625,"about_ca_system_score_gemma":0.000029912615,"threshold_uncertainty_score":0.5204229},"labels":[],"label_agreement":null},{"id":"W2062853675","doi":"10.1016/j.ijpe.2014.08.009","title":"Optimizing mining rates under financial uncertainty in global mining complexes","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Mathematical optimization; Schedule; Process (computing); Production (economics); Dynamic programming; Tracking (education); Markov process; Mathematics; Algorithm; Economics; Statistics; Microeconomics","score_opus":0.01899746199092673,"score_gpt":0.25291981235510974,"score_spread":0.23392235036418302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062853675","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":[0.9861881,0.000057839465,0.008839779,0.00056247844,0.0033414788,0.00004014721,0.000005808769,0.000037443155,0.00092691],"genre_scores_gemma":[0.9744263,0.00016130989,0.024157852,0.00010397333,0.0011099444,0.0000021915837,0.000005124334,0.000015044029,0.000018256098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990782,0.000016855129,0.00057832926,0.00012668147,0.000056854322,0.00014307392],"domain_scores_gemma":[0.99950653,0.00003775808,0.00022333751,0.00008821752,0.00010075037,0.000043398846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000493655,0.00011451373,0.00020683912,0.00016808875,0.000025232945,0.00007179199,0.00026099742,0.000061382336,0.000027749504],"category_scores_gemma":[0.00012233351,0.00013159188,0.000070101545,0.00004899,0.000029023488,0.0003655654,0.000033662185,0.00011012429,0.0000031458628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003824767,0.000016079459,0.004430613,0.000005511334,0.000037975806,0.0000017399708,0.00025065988,0.9809169,0.00017316341,0.0023484793,0.001258518,0.010522086],"study_design_scores_gemma":[0.0023480337,0.0002542016,0.02209167,0.00040895576,0.000039852133,0.00085632154,0.0016318907,0.893265,0.007084175,0.023276404,0.04778159,0.0009619099],"about_ca_topic_score_codex":0.000010103905,"about_ca_topic_score_gemma":0.00011794533,"teacher_disagreement_score":0.08765193,"about_ca_system_score_codex":0.00048466277,"about_ca_system_score_gemma":0.000045613993,"threshold_uncertainty_score":0.53661615},"labels":[],"label_agreement":null},{"id":"W2067967009","doi":"10.1016/j.ijpe.2010.10.007","title":"Financial and operational decisions in the electricity sector: Contract portfolio optimization with the conditional value-at-risk criterion","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Electric Power System Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of New Brunswick; University of Toronto","funders":"","keywords":"CVAR; Expected shortfall; Forward contract; Stochastic programming; Procurement; Portfolio; Hedge; Value at risk; Portfolio optimization; Risk management; Volatility (finance); Electricity; Robust optimization; Microeconomics; Computer science; Economics; Business; Mathematical optimization; Actuarial science; Finance; Futures contract","score_opus":0.005308610124878929,"score_gpt":0.20585211258120406,"score_spread":0.20054350245632513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067967009","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":[0.91315377,0.00011330085,0.082229756,0.0022816723,0.0017701888,0.00021123368,0.000024893157,0.000014764337,0.00020040007],"genre_scores_gemma":[0.99581325,0.0005765842,0.002437625,0.00017972023,0.0009109206,0.000012371126,0.000033578013,0.000015119244,0.000020839974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989823,0.00007853356,0.00045293922,0.00013480904,0.0002365058,0.00011487395],"domain_scores_gemma":[0.99900264,0.00020239464,0.0002970102,0.00011494149,0.00035361387,0.000029384824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010529471,0.0001186984,0.00013066894,0.00023064432,0.00013063234,0.00013425147,0.00026027512,0.00006878597,0.00005820202],"category_scores_gemma":[0.0004096079,0.00008019998,0.00004242006,0.00014298873,0.000054861783,0.0005824397,0.000014753406,0.00042836956,0.000002134069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010007522,0.000043684107,0.004599439,0.0000014111148,0.00006353273,0.0000047209733,0.000303105,0.988299,0.0007956117,0.0025276097,0.0016454938,0.0016163304],"study_design_scores_gemma":[0.002336131,0.00024105258,0.13062714,0.00004713426,0.000100040335,0.005821147,0.0001256608,0.83973855,0.0037027155,0.0024369087,0.014371516,0.00045199503],"about_ca_topic_score_codex":0.00001393785,"about_ca_topic_score_gemma":0.0001977633,"teacher_disagreement_score":0.14856043,"about_ca_system_score_codex":0.00018913299,"about_ca_system_score_gemma":0.0001226136,"threshold_uncertainty_score":0.327046},"labels":[],"label_agreement":null},{"id":"W2069402755","doi":"10.1016/j.ijpe.2005.10.008","title":"A comprehensive mathematical model for the design of cellular manufacturing systems","year":2006,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellular manufacturing; Cell formation; Computer science; Workload; Adjacency list; Sequence (biology); Industrial engineering; Distributed computing; Manufacturing engineering; Mathematical optimization; Algorithm; Engineering","score_opus":0.029652405361553908,"score_gpt":0.2264478316174688,"score_spread":0.19679542625591487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069402755","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":[0.0155143505,0.00019178513,0.98261523,0.00011812652,0.0013543157,0.00014081223,0.000008183604,0.0000138670775,0.000043341628],"genre_scores_gemma":[0.95865136,0.0001735516,0.040449217,0.0000044822687,0.00057691475,0.0000061549536,0.0000036715892,0.000015265521,0.00011936636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940026,0.000007144957,0.00040140818,0.000057940215,0.00006937835,0.000063843254],"domain_scores_gemma":[0.9993689,0.00011206589,0.00022280548,0.00007634313,0.00020700936,0.0000128824495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015179125,0.000070017486,0.00012234226,0.000077930985,0.000024439672,0.00002652814,0.00015068006,0.000028208395,0.0000024177702],"category_scores_gemma":[0.000027631426,0.000056310342,0.00005516846,0.0000095008745,0.00002691548,0.00013529665,0.000008902855,0.00006937581,8.826522e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003017864,0.000015076529,0.0000011344043,0.00002494509,0.000077899094,3.5008398e-7,0.000042153046,0.9952059,0.0010315694,0.0028703122,0.0002952392,0.00040523408],"study_design_scores_gemma":[0.00017694014,0.000011626246,0.000008926605,0.000017041079,0.000021136775,0.00003550803,0.00004382122,0.9436866,0.042182557,0.013219513,0.0005452623,0.000051092662],"about_ca_topic_score_codex":0.0000014673113,"about_ca_topic_score_gemma":2.1715415e-7,"teacher_disagreement_score":0.94313705,"about_ca_system_score_codex":0.00008826576,"about_ca_system_score_gemma":0.000014295022,"threshold_uncertainty_score":0.22962691},"labels":[],"label_agreement":null},{"id":"W2070738469","doi":"10.1016/j.ijpe.2009.05.017","title":"The demand for training and consultancy investment in SME-specific ERP systems implementation and operation","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pratt and Whitney Canada","keywords":"Enterprise resource planning; Vendor; Extant taxon; Order (exchange); Business; Training (meteorology); Knowledge management; Investment (military); Process management; Resource (disambiguation); Computer science; Operations management; Marketing; Finance","score_opus":0.04620310382888583,"score_gpt":0.3061166917066423,"score_spread":0.2599135878777565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070738469","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":[0.98111486,0.000772219,0.0013505777,0.013339463,0.0026652177,0.0004995632,0.000005369264,0.0000075088406,0.00024521595],"genre_scores_gemma":[0.9969679,0.000669182,0.0002339993,0.0005696984,0.0015008082,0.000009545901,0.000012652744,0.0000062081504,0.000029994777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991256,0.000013896277,0.0005670877,0.00011358745,0.000085772655,0.00009403153],"domain_scores_gemma":[0.99914426,0.000041266503,0.0005185452,0.000044861194,0.00023886564,0.000012206708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000964653,0.00007619052,0.00011486361,0.00020097493,0.000115436495,0.00041477726,0.00008093578,0.00001915731,0.00000587127],"category_scores_gemma":[0.000077923636,0.00006211918,0.00002287837,0.00004176071,0.000023699711,0.0012667712,0.000011558378,0.000051766307,0.0000010878077],"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":[0.000554833,0.00012673519,0.026442094,0.00006322986,0.0002678037,0.0000042371735,0.0033931213,0.005758034,0.004128797,0.49038342,0.0134626115,0.4554151],"study_design_scores_gemma":[0.011167792,0.00034765666,0.2123445,0.0002565957,0.000091437425,0.00043614686,0.0422035,0.017840022,0.00096026337,0.0421789,0.6715262,0.00064701476],"about_ca_topic_score_codex":0.000021702563,"about_ca_topic_score_gemma":0.00008143729,"teacher_disagreement_score":0.6580636,"about_ca_system_score_codex":0.00009539395,"about_ca_system_score_gemma":0.000031107138,"threshold_uncertainty_score":0.39997068},"labels":[],"label_agreement":null},{"id":"W2077266219","doi":"10.1016/j.ijpe.2006.08.015","title":"Production rate control for stochastic remanufacturing systems","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Remanufacturing; Time horizon; Computer science; Holding cost; Control (management); Inventory control; Reliability engineering; Point (geometry); Failure rate; Production (economics); Component (thermodynamics); Economic shortage; Product (mathematics); Operations research; Function (biology); Mathematical optimization; Operations management; Manufacturing engineering; Economics; Engineering; Mathematics; Microeconomics","score_opus":0.012898778520784342,"score_gpt":0.23087860224274048,"score_spread":0.21797982372195615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077266219","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":[0.6705199,0.000107322485,0.274628,0.012440424,0.04059869,0.0010715472,0.000003233941,0.000061596686,0.00056927773],"genre_scores_gemma":[0.97937787,0.000011567438,0.0003324157,0.00036096043,0.01909842,0.0000133558815,0.000008509258,0.00002830192,0.00076861796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863416,0.000009184162,0.00072817854,0.00023567029,0.00017325548,0.00021954828],"domain_scores_gemma":[0.9972933,0.000062740044,0.0011549185,0.00014348276,0.0013293428,0.00001623058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031138153,0.00013957811,0.00020067822,0.0007683857,0.0000972459,0.00030000793,0.0003187745,0.000041151885,0.000017835648],"category_scores_gemma":[0.0009215069,0.00014086688,0.00011586363,0.00008645548,0.00003331218,0.001750457,0.0000450829,0.000121409044,0.000019945694],"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":[0.0014035224,0.00015567798,0.00094331254,0.00017919597,0.0005802642,0.000017004873,0.000088720946,0.9500744,0.0009770654,0.024285141,0.008024418,0.013271326],"study_design_scores_gemma":[0.010599861,0.00021267463,0.017309744,0.0005399701,0.000817988,0.000673308,0.011404015,0.07369092,0.0073048645,0.06089682,0.8148147,0.0017351541],"about_ca_topic_score_codex":0.000030717565,"about_ca_topic_score_gemma":0.000016515734,"teacher_disagreement_score":0.8763834,"about_ca_system_score_codex":0.00048685938,"about_ca_system_score_gemma":0.000038297552,"threshold_uncertainty_score":0.57443845},"labels":[],"label_agreement":null},{"id":"W2078678260","doi":"10.1016/j.ijpe.2013.12.007","title":"Deriving research agendas for manufacturing and logistics systems: A methodology","year":2013,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Function (biology); Production (economics); Computer science; Process management; Matrix (chemical analysis); Control (management); Production planning; Operations research; Manufacturing engineering; Management science; Operations management; Industrial engineering; Engineering management; Systems engineering; Business; Engineering; Economics; Artificial intelligence","score_opus":0.24815764681541855,"score_gpt":0.3710639982819303,"score_spread":0.12290635146651177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078678260","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":[0.88944364,0.00015637556,0.0806456,0.020429874,0.007668184,0.00050428655,0.0000030740184,0.00001881434,0.0011301462],"genre_scores_gemma":[0.9890271,0.00012636173,0.0050101974,0.0003307047,0.005020359,0.00001970551,0.000004797638,0.000012726457,0.0004480537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991087,0.00003842182,0.00043282215,0.00015022747,0.00012739653,0.00014246472],"domain_scores_gemma":[0.99864185,0.00018042981,0.00036732267,0.00008411922,0.0007138974,0.000012384639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026960964,0.00007135967,0.00014811118,0.00044897862,0.00009972785,0.0004656212,0.00024065429,0.00003655698,0.00006145456],"category_scores_gemma":[0.0007840484,0.000068092115,0.00004734828,0.000033030876,0.000067021094,0.0011480242,0.00012829207,0.00013552631,0.000029297798],"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":[0.0005611495,0.00037496735,0.006422612,0.0011342384,0.0016082376,0.000026242315,0.00092790613,0.086733595,0.002332876,0.5749371,0.077372946,0.24756812],"study_design_scores_gemma":[0.0012285396,0.00007504164,0.008904607,0.0001349688,0.00008405575,0.00019612831,0.0053097075,0.022710893,0.0018214827,0.20667236,0.7524957,0.00036654342],"about_ca_topic_score_codex":0.00018698155,"about_ca_topic_score_gemma":0.00002237455,"teacher_disagreement_score":0.67512274,"about_ca_system_score_codex":0.000091531176,"about_ca_system_score_gemma":0.000018284632,"threshold_uncertainty_score":0.4489996},"labels":[],"label_agreement":null},{"id":"W2082357232","doi":"10.1016/s0925-5273(01)00169-4","title":"The dual-phase learning–forgetting model","year":2002,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Forgetting; Task (project management); Computer science; Dual (grammatical number); Artificial intelligence; Machine learning; Cognitive psychology; Simple (philosophy); Interval (graph theory); Psychology; Mathematics; Engineering","score_opus":0.017724535416720092,"score_gpt":0.23815666758449236,"score_spread":0.22043213216777227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082357232","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":[0.81035554,0.0012275213,0.15608221,0.011062973,0.017475955,0.00010989671,0.000004640413,0.00016723572,0.0035140314],"genre_scores_gemma":[0.96766824,0.0028336162,0.02564245,0.000060575225,0.0019410534,0.000002127294,0.0000024863057,0.0000278601,0.0018215994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938726,0.000010723234,0.000360071,0.00006319934,0.0000942747,0.00008446198],"domain_scores_gemma":[0.99945265,0.000030210958,0.00017301677,0.00006537115,0.00024145914,0.00003730527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030813832,0.00006482783,0.00007214402,0.000089487745,0.000083535335,0.000100654586,0.00015467765,0.000027578122,0.000038736896],"category_scores_gemma":[0.00019413109,0.00005503092,0.00006031207,0.000036037927,0.000022312975,0.00027736783,0.000011785009,0.00020791488,0.00002112856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007559808,0.000017760298,0.000027834007,8.9829047e-7,0.00006740886,0.0000012658036,0.00017999571,0.956695,0.00009520625,0.00027581028,0.0012737002,0.04135754],"study_design_scores_gemma":[0.0003183138,0.000016354019,0.000005577374,0.0000067106002,0.000006303902,0.00014247689,0.00009664573,0.98566073,0.001302396,0.0003683988,0.012016235,0.000059842736],"about_ca_topic_score_codex":2.3597264e-7,"about_ca_topic_score_gemma":4.7281108e-7,"teacher_disagreement_score":0.1573127,"about_ca_system_score_codex":0.00010210747,"about_ca_system_score_gemma":0.000011020924,"threshold_uncertainty_score":0.22440958},"labels":[],"label_agreement":null},{"id":"W2086806925","doi":"10.1016/j.ijpe.2006.05.005","title":"An imperfect production process in a volume flexible inventory model","year":2006,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":134,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Imperfect; Economic production quantity; Mathematical optimization; Variable (mathematics); Computer science; Profit (economics); Production (economics); Function (biology); Sensitivity (control systems); Mathematics; Economics; Microeconomics","score_opus":0.017070854133083888,"score_gpt":0.2462942464226751,"score_spread":0.2292233922895912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086806925","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":[0.988298,0.000040090352,0.0004981119,0.003956438,0.004643478,0.00016969448,9.4308774e-7,0.000035201334,0.0023580242],"genre_scores_gemma":[0.99073184,0.000029786517,0.00021608928,0.0003641977,0.0076325787,0.000011158604,0.000021274804,0.000023107466,0.0009699617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987423,0.000011444224,0.0006149782,0.00026226495,0.00021184054,0.00015717036],"domain_scores_gemma":[0.99872917,0.0000024545616,0.00062374014,0.00015309203,0.000478671,0.000012864005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000789675,0.00013428538,0.00016319889,0.0008339152,0.000050705217,0.0002120295,0.00038151868,0.000043125347,0.00008862081],"category_scores_gemma":[0.00007958009,0.00014139753,0.000081782186,0.00015863618,0.000042632906,0.003813954,0.00004039988,0.0001545308,0.000041913518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002183685,0.00055311195,0.05705047,0.000048776023,0.00005241244,0.0000067971964,0.00012393086,0.91901296,0.0010140307,0.007882652,0.010722303,0.0033142008],"study_design_scores_gemma":[0.0025621962,0.00011158249,0.02539757,0.0002077124,0.000102913764,0.00014018828,0.0015604619,0.7478694,0.0054745637,0.123722844,0.0919308,0.0009197991],"about_ca_topic_score_codex":0.000108170454,"about_ca_topic_score_gemma":0.00011604955,"teacher_disagreement_score":0.17114358,"about_ca_system_score_codex":0.0002986052,"about_ca_system_score_gemma":0.000066206914,"threshold_uncertainty_score":0.5766024},"labels":[],"label_agreement":null},{"id":"W2087167202","doi":"10.1016/s0925-5273(99)00079-1","title":"Production and preventive maintenance rates control for a manufacturing system: An experimental design approach","year":2000,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Preventive maintenance; Computer science; Mathematical optimization; Production control; Formalism (music); Factorial experiment; Reliability engineering; Production (economics); Industrial engineering; Mathematics; Engineering; Machine learning","score_opus":0.07662796045032892,"score_gpt":0.37430883549881194,"score_spread":0.297680875048483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087167202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4874467,0.00015113445,0.5085739,0.0005223091,0.002773608,0.00039725754,0.000016136999,0.000015210378,0.00010372594],"genre_scores_gemma":[0.94221336,0.0000439255,0.05549312,0.000020072595,0.0015871044,0.00002804008,0.0000016124502,0.000014219173,0.0005985544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819416,0.00011681359,0.0008142483,0.0004134173,0.00031648332,0.00014487853],"domain_scores_gemma":[0.99823606,0.00022060481,0.0006592835,0.00014694195,0.00064745755,0.00008964258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019631793,0.00012796844,0.00025225602,0.00018763616,0.00012011365,0.00022525853,0.00037836464,0.000038039503,0.000027723678],"category_scores_gemma":[0.0011482621,0.00010722158,0.000066118686,0.0000434705,0.00009221176,0.0017602469,0.00001820279,0.00011847205,0.000005689969],"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":[0.006042408,0.00065216137,0.0008018241,0.00004615684,0.00040067406,0.000011551259,0.0020671124,0.6642785,0.008674577,0.004582572,0.0013807771,0.31106165],"study_design_scores_gemma":[0.0070928405,0.0019426239,0.0060960217,0.00043781372,0.00018120417,0.004960438,0.017625019,0.1698613,0.64763325,0.13037115,0.012467856,0.0013304605],"about_ca_topic_score_codex":0.0000019061171,"about_ca_topic_score_gemma":7.011556e-7,"teacher_disagreement_score":0.6389587,"about_ca_system_score_codex":0.00027596322,"about_ca_system_score_gemma":0.00005354522,"threshold_uncertainty_score":0.43723693},"labels":[],"label_agreement":null},{"id":"W2087273462","doi":"10.1016/j.ijpe.2008.09.016","title":"An integrated production planning model for molds and end items","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Amortization; Time horizon; Production (economics); Economic shortage; Computer science; Holding cost; Constant (computer programming); Operations research; Operations management; Distribution (mathematics); Production planning; Business; Economics; Microeconomics; Mathematics; Finance","score_opus":0.01658017014809162,"score_gpt":0.2480186404111502,"score_spread":0.23143847026305858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087273462","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":[0.73995644,0.00016230987,0.25630948,0.00089177693,0.0024360232,0.00010455419,0.0000069539183,0.000047462658,0.00008501029],"genre_scores_gemma":[0.9825837,0.0004050134,0.015936045,0.000036621543,0.00094253273,0.0000025802965,0.00001793784,0.000012924715,0.000062665706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994429,0.0000052778273,0.00030211094,0.000116718016,0.000059573213,0.00007345787],"domain_scores_gemma":[0.99949694,0.0000064282976,0.00014849237,0.00006129344,0.00024605313,0.000040768136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022773769,0.00008514477,0.0001026607,0.00018559114,0.000032084565,0.00007863444,0.000106418105,0.000042538573,0.000004332436],"category_scores_gemma":[0.0000516519,0.00008582541,0.000028829001,0.000024250789,0.000012190993,0.00078996096,0.0000033617603,0.00009415857,2.9058347e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059777878,0.000021960273,0.00006109719,0.0000075998855,0.00003408448,3.0951955e-7,0.00027660947,0.955702,0.0011244236,0.00027872162,0.00022657386,0.042206813],"study_design_scores_gemma":[0.00024146872,0.000075714444,0.0005030488,0.000031549112,0.000013599538,0.00010577013,0.00008857201,0.976452,0.017386442,0.0029689283,0.0020210797,0.00011182369],"about_ca_topic_score_codex":7.7245403e-7,"about_ca_topic_score_gemma":0.0000012559268,"teacher_disagreement_score":0.24262726,"about_ca_system_score_codex":0.000096678625,"about_ca_system_score_gemma":0.000023776138,"threshold_uncertainty_score":0.34998587},"labels":[],"label_agreement":null},{"id":"W2088268601","doi":"10.1016/j.ijpe.2011.07.002","title":"Introduction to special issue on “Enterprise risk management in operations”","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Process management; Risk management; Computer science; Risk analysis (engineering); Operations management; Finance; Economics","score_opus":0.014821947506392201,"score_gpt":0.22639496020149158,"score_spread":0.21157301269509937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088268601","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":[0.8758248,0.0000123373675,0.0010242817,0.01695925,0.040634304,0.00058719004,0.0000042435695,0.000031542964,0.06492204],"genre_scores_gemma":[0.70030797,0.0009225972,0.011087186,0.00351473,0.28093597,0.000041837186,0.00003273813,0.00007235538,0.0030846377],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986362,0.000014504459,0.00068960874,0.00029850815,0.00020860227,0.00015259972],"domain_scores_gemma":[0.999018,0.000005794814,0.00043673094,0.00020874893,0.00031398333,0.000016707034],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007409352,0.00014708118,0.00017209108,0.001290677,0.00006276834,0.00017918392,0.0004888515,0.000036587116,0.0011609723],"category_scores_gemma":[0.00021323888,0.00015324572,0.00008563685,0.0002368353,0.000024485003,0.001668554,0.00013310758,0.00019204537,0.0009001894],"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":[0.0023013852,0.0012590145,0.017780706,0.000031976833,0.00042352104,0.00008179733,0.0008673919,0.11038624,0.000036590834,0.123676665,0.31226596,0.43088874],"study_design_scores_gemma":[0.0006459046,0.000058067726,0.025336785,0.000038610386,0.000041892763,0.000013019134,0.00037342976,0.0004360425,0.00027228112,0.0079357205,0.96464074,0.00020753722],"about_ca_topic_score_codex":0.00010141304,"about_ca_topic_score_gemma":0.0001569334,"teacher_disagreement_score":0.65237474,"about_ca_system_score_codex":0.0002803915,"about_ca_system_score_gemma":0.000012759626,"threshold_uncertainty_score":0.99987775},"labels":[],"label_agreement":null},{"id":"W2093664936","doi":"10.1016/j.ijpe.2011.07.011","title":"Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Preventive maintenance; Reliability engineering; Production (economics); Reliability (semiconductor); Maintenance actions; Computer science; Markov decision process; Time horizon; Sensitivity (control systems); Order (exchange); Failure rate; Operations research; Planned maintenance; Markov process; Risk analysis (engineering); Mathematical optimization; Engineering; Business; Economics; Mathematics","score_opus":0.007545413346551625,"score_gpt":0.19014030657910524,"score_spread":0.18259489323255362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093664936","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":[0.96566534,0.00019515895,0.030156638,0.000082624785,0.0034907034,0.00023017074,0.0000092617765,0.00002141704,0.00014866413],"genre_scores_gemma":[0.99418527,0.00067195314,0.0047917874,0.000004201078,0.0002422341,0.0000044693325,0.0000012770993,0.000013094053,0.000085693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998863,0.000028811593,0.00079186645,0.00013376871,0.00009666307,0.00008591345],"domain_scores_gemma":[0.99857813,0.000031439893,0.0006599884,0.00011836993,0.00058201636,0.000030036796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005276909,0.00009580877,0.0002249228,0.0001371497,0.000018007922,0.000012231719,0.00011221683,0.000038859285,0.0000100063535],"category_scores_gemma":[0.0003116407,0.00009298179,0.00007136042,0.000027340913,0.000064918226,0.00039758105,0.000016430797,0.00009452634,4.983166e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035672548,0.00006967411,0.0017339631,0.00015002147,0.00038189458,0.0000023770763,0.0010823618,0.9880733,0.004157219,0.0003248319,0.000071309005,0.0035963557],"study_design_scores_gemma":[0.0032991013,0.0010858282,0.0064858883,0.0015848964,0.00028620852,0.0014708246,0.0043854676,0.4397567,0.53516877,0.0028782215,0.0028926881,0.00070543104],"about_ca_topic_score_codex":0.000013326879,"about_ca_topic_score_gemma":0.000005310708,"teacher_disagreement_score":0.5483166,"about_ca_system_score_codex":0.00014422173,"about_ca_system_score_gemma":0.000027445625,"threshold_uncertainty_score":0.37916875},"labels":[],"label_agreement":null},{"id":"W2094707136","doi":"10.1016/j.ijpe.2011.07.016","title":"Discount pricing for a family of items: The supplier's optimal decisions","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stackelberg competition; Microeconomics; Point (geometry); Economics; Product (mathematics); Revenue management; Joint venture; Finance; Commerce; Mathematics","score_opus":0.05955726316616287,"score_gpt":0.2487613158277998,"score_spread":0.18920405266163695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094707136","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":[0.96713555,0.00008774154,0.014207393,0.0039505404,0.008719973,0.00033391514,0.000007808754,0.000011150638,0.005545933],"genre_scores_gemma":[0.99373543,0.00009388254,0.0022460548,0.00062054873,0.0030627693,0.0000103847115,0.000006373887,0.000014583341,0.00020999578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990822,0.000005098274,0.0005547193,0.00012068995,0.000139542,0.00009771536],"domain_scores_gemma":[0.9985166,0.000040372986,0.00079354417,0.00013182696,0.00050925155,0.0000083824825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007433046,0.00008573845,0.00013504893,0.00028289325,0.000064734246,0.00008604685,0.00047474014,0.000021878104,0.00009114965],"category_scores_gemma":[0.00021766742,0.0000639036,0.00014357471,0.00006411761,0.00005541257,0.00097069255,0.0000924717,0.000074230506,0.000011661369],"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":[0.0031299726,0.0018026012,0.026968831,0.00016401123,0.0026423174,0.000015541062,0.0042630443,0.059980646,0.0036668738,0.5852898,0.16739298,0.1446834],"study_design_scores_gemma":[0.002686545,0.00017216193,0.026506757,0.00025963585,0.00032514965,0.00007308753,0.010701883,0.014923638,0.0036914386,0.07003935,0.8701061,0.0005142597],"about_ca_topic_score_codex":0.00004047174,"about_ca_topic_score_gemma":0.000012467042,"teacher_disagreement_score":0.70271313,"about_ca_system_score_codex":0.00007957078,"about_ca_system_score_gemma":0.000029875777,"threshold_uncertainty_score":0.26059133},"labels":[],"label_agreement":null},{"id":"W2097869143","doi":"10.1016/j.ijpe.2014.04.025","title":"When and for whom would e-waste be a treasure trove? Insights from a network equilibrium model of e-waste flows","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Dematerialization (economics); Treasure; Material flow analysis; Electronic waste; Material flow; Industrial ecology; Business; Environmental economics; Electronic equipment; Waste recycling; Legislature; Economics; Natural resource economics; Sustainability; Commerce; Waste management; Computer science; Engineering; Microeconomics","score_opus":0.022637694213105936,"score_gpt":0.23413097092417273,"score_spread":0.2114932767110668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097869143","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":[0.956826,0.000045776134,0.038482837,0.0028833016,0.0010987994,0.00013945384,0.000012663133,0.000011061216,0.0005001585],"genre_scores_gemma":[0.9675468,0.00010365843,0.030428149,0.00020099168,0.0012032761,0.0000056496892,0.0000071444697,0.000015233561,0.0004890967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904025,0.000030156776,0.0004816559,0.00020484184,0.00014429043,0.000098788725],"domain_scores_gemma":[0.99915737,0.000044931512,0.0005440061,0.00013910257,0.0000631657,0.00005142617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038852313,0.000106077605,0.00020160407,0.00007722195,0.000038003545,0.00006502212,0.00027179817,0.000071843024,0.000019216835],"category_scores_gemma":[0.00008476649,0.00009809639,0.00009460511,0.000025469008,0.00007444205,0.00047399005,0.00009934793,0.00012974387,0.0000012351904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043725662,0.000119993274,0.005130059,0.000011825622,0.00024446857,5.1056213e-7,0.0007622713,0.9213125,0.018106775,0.00091708044,0.012912958,0.040044315],"study_design_scores_gemma":[0.0011653738,0.00030347423,0.000682621,0.0000970499,0.00009116597,0.000016523663,0.00018329902,0.8309954,0.018158168,0.11688163,0.031169716,0.00025557782],"about_ca_topic_score_codex":0.000033419805,"about_ca_topic_score_gemma":0.000047014946,"teacher_disagreement_score":0.115964554,"about_ca_system_score_codex":0.00009681084,"about_ca_system_score_gemma":0.000014038922,"threshold_uncertainty_score":0.40002546},"labels":[],"label_agreement":null},{"id":"W2122519530","doi":"10.1016/j.ijpe.2006.04.015","title":"Reliability consideration in the design and analysis of cellular manufacturing systems","year":2006,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Cellular manufacturing; Reliability (semiconductor); Computer science; Process (computing); Reliability engineering; Integer programming; Routing (electronic design automation); Plan (archaeology); Mathematical optimization; Engineering; Algorithm; Embedded system; Mathematics","score_opus":0.01136817189655232,"score_gpt":0.20740732096043363,"score_spread":0.1960391490638813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122519530","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":[0.5638126,0.00009448517,0.43530318,0.000092032315,0.00058901287,0.000055048367,0.0000024621718,0.0000051636334,0.00004599904],"genre_scores_gemma":[0.99376553,0.00017392752,0.0058790827,0.0000044072635,0.00015537054,0.0000015118227,0.0000076077285,0.000004341929,0.000008197498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938744,0.000034837278,0.0004022171,0.000065249005,0.00006744107,0.000042828833],"domain_scores_gemma":[0.99955124,0.00008401152,0.00018908113,0.00006941886,0.00009820716,0.000008032146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050045684,0.000052155166,0.00012341513,0.00025809975,0.0000141728715,0.000034968347,0.00007674874,0.00002532365,0.0000023662344],"category_scores_gemma":[0.000052643503,0.00004371485,0.000033365803,0.00004498759,0.000024273797,0.00019453159,0.000005034335,0.000076372075,1.6422098e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012664945,0.000013907216,0.00039530467,0.000006565227,0.00008505394,0.0000011638293,0.00007895545,0.9979986,0.00042326582,0.00064740714,0.000032401123,0.00030470028],"study_design_scores_gemma":[0.00034909,0.00003080774,0.024979386,0.000022448896,0.00019293244,0.00005805459,0.00022705927,0.9059186,0.06048883,0.0070423177,0.0005571694,0.00013332652],"about_ca_topic_score_codex":0.000019149216,"about_ca_topic_score_gemma":0.0000073808,"teacher_disagreement_score":0.42995292,"about_ca_system_score_codex":0.000086035776,"about_ca_system_score_gemma":0.0000087510325,"threshold_uncertainty_score":0.17826398},"labels":[],"label_agreement":null},{"id":"W2123357168","doi":"10.1016/j.ijpe.2006.12.020","title":"Economic manufacture quantity (EMQ) model with lot-size dependent learning and forgetting rates","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Forgetting; Sizing; Time horizon; Production (economics); Dual (grammatical number); Computer science; Invariant (physics); Horizon; Artificial intelligence; Operations research; Econometrics; Mathematical optimization; Economics; Mathematics; Microeconomics; Cognitive psychology; Psychology","score_opus":0.011946451989094742,"score_gpt":0.24116543207959373,"score_spread":0.22921898009049899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123357168","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":[0.98796874,0.000049555485,0.005357086,0.0023334555,0.0019477624,0.000095794574,8.4472293e-7,0.000020119414,0.0022266505],"genre_scores_gemma":[0.994748,0.00010973026,0.001126698,0.00047806243,0.0027603116,0.0000011333974,0.0000044837593,0.000019659668,0.0007519346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909645,0.0000053995095,0.00043212576,0.00019370709,0.00012396276,0.00014834414],"domain_scores_gemma":[0.9989887,0.000030944237,0.000703081,0.0000685972,0.00018983126,0.000018836912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009936461,0.00012737274,0.00015169634,0.00027954683,0.00009693582,0.00027576459,0.00019352902,0.000036036625,0.00008413585],"category_scores_gemma":[0.00009745939,0.000115884184,0.000054405813,0.00002767448,0.000040397415,0.0015950204,0.00008809299,0.0001884771,0.000018021557],"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":[0.0013739609,0.0002164901,0.34387776,0.00012264274,0.0009115816,0.00005341349,0.00041626536,0.558505,0.0010650877,0.04771104,0.0034472793,0.042299476],"study_design_scores_gemma":[0.010843457,0.00037925527,0.12224717,0.000523564,0.0006275481,0.0011905394,0.013230244,0.26348615,0.024526121,0.05253313,0.5076306,0.0027822226],"about_ca_topic_score_codex":0.000048722668,"about_ca_topic_score_gemma":0.0002424883,"teacher_disagreement_score":0.50418335,"about_ca_system_score_codex":0.00018940709,"about_ca_system_score_gemma":0.000028840435,"threshold_uncertainty_score":0.472562},"labels":[],"label_agreement":null},{"id":"W2126090477","doi":"10.1016/j.ijpe.2014.09.012","title":"Economic performance and supply chains: The impact of upstream firms׳ waste output on downstream firms׳ performance in Japan","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Supply chain; Downstream (manufacturing); Procurement; Business; Upstream (networking); Industrial organization; Incentive; Greenhouse gas; Product (mathematics); Commerce; Economics; Computer science; Marketing; Microeconomics","score_opus":0.008079870992132435,"score_gpt":0.21705207216641517,"score_spread":0.20897220117428272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126090477","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":[0.9935725,0.00001946714,0.00001643985,0.0030141047,0.0013217349,0.00018547199,0.0000028847103,0.000007983194,0.0018594678],"genre_scores_gemma":[0.99674475,0.00032325258,0.00003610596,0.00016218967,0.002415862,0.000006660464,0.0000074109507,0.00001897764,0.00028479463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988238,0.000015953401,0.000622667,0.00021034668,0.00013753255,0.0001896966],"domain_scores_gemma":[0.9986387,0.00004704174,0.0008711334,0.00021555298,0.00021217954,0.00001538142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032088,0.00017468182,0.00023805803,0.00063989504,0.000066745946,0.00015403307,0.0004619926,0.000039698993,0.00005919407],"category_scores_gemma":[0.00012187787,0.00013259628,0.000110512316,0.000085576576,0.00008872633,0.001407404,0.00012339614,0.00018976856,0.000023576562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035963047,0.0001323697,0.46428534,0.000069312635,0.00018249085,0.0000013528208,0.00022583304,0.45013776,0.000019526398,0.002595529,0.0015366023,0.08045426],"study_design_scores_gemma":[0.0020939833,0.00035299754,0.8002727,0.00024320195,0.00004671438,0.00007227608,0.0017226526,0.1769984,0.00054477516,0.001495155,0.015795132,0.0003620063],"about_ca_topic_score_codex":0.00019999928,"about_ca_topic_score_gemma":0.000049092763,"teacher_disagreement_score":0.3359874,"about_ca_system_score_codex":0.00039931244,"about_ca_system_score_gemma":0.00005505217,"threshold_uncertainty_score":0.54071194},"labels":[],"label_agreement":null},{"id":"W2132916971","doi":"10.1016/j.ijpe.2007.06.005","title":"Response to a factual comment on the erratum to “Incorporating transportation cost in the lot size and pricing decisions with downward sloping demand” by Prof. S.K. Goyal","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Operations research; Economics; Computer science; Mathematics","score_opus":0.024420100885157364,"score_gpt":0.29823571118338194,"score_spread":0.27381561029822454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132916971","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":[0.8439176,0.0000069836383,0.02289348,0.13221733,0.0004614291,0.0003658041,0.0000106147745,0.000006701512,0.00012003289],"genre_scores_gemma":[0.9940065,0.00002296253,0.002342216,0.0033333672,0.00018495948,0.000009290274,0.000006709376,0.0000067435053,0.00008722001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998892,0.00013170704,0.0004324927,0.0001383645,0.00028673722,0.00011869325],"domain_scores_gemma":[0.9986659,0.000645603,0.00030328124,0.000062551524,0.00025402626,0.00006862876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037060268,0.00007812549,0.000093061826,0.00015892065,0.0002337419,0.00012489838,0.00020332665,0.000033016753,0.000007606516],"category_scores_gemma":[0.00075706205,0.000053141903,0.00002426655,0.00017083618,0.00004691846,0.00025471955,0.0000032949176,0.00016842851,0.0000017504584],"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":[0.010470136,0.00040524433,0.060140792,0.000006197782,0.00014783241,0.000033911976,0.21777958,0.65214336,0.0016683082,0.021381393,0.01868679,0.017136432],"study_design_scores_gemma":[0.0027418872,0.0015568399,0.6558696,0.0008326843,0.00007231252,0.00008073488,0.11668705,0.0005765248,0.0032423306,0.002181592,0.21549267,0.00066578505],"about_ca_topic_score_codex":0.00009423063,"about_ca_topic_score_gemma":0.0015943041,"teacher_disagreement_score":0.65156686,"about_ca_system_score_codex":0.00019729105,"about_ca_system_score_gemma":0.00012122791,"threshold_uncertainty_score":0.2167064},"labels":[],"label_agreement":null},{"id":"W215018224","doi":"10.1016/j.ijpe.2015.04.013","title":"A note on budget allocation for market research and advertising","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Production (economics); Investment (military); Product (mathematics); Economics; Microeconomics; Business; Industrial organization; Marketing","score_opus":0.08079434548676546,"score_gpt":0.3245897898762956,"score_spread":0.24379544438953016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W215018224","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":[0.8919819,0.00011316737,0.0038499334,0.06540144,0.014591991,0.0005427172,0.0000036679667,0.000028724602,0.023486447],"genre_scores_gemma":[0.9897445,0.0000649788,0.00087646896,0.00096415996,0.00682965,0.000008489997,0.000007407414,0.000014984913,0.0014893758],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928004,0.000009869766,0.00028199912,0.00013845207,0.00019177931,0.0000978777],"domain_scores_gemma":[0.998561,0.00003525672,0.00026278928,0.000078385165,0.0010458927,0.000016652295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017863088,0.000062595915,0.000084978295,0.0004848399,0.000056324767,0.00021635892,0.00018243953,0.000024631103,0.000028874963],"category_scores_gemma":[0.0005548038,0.00006156817,0.00003440883,0.00006096354,0.00004044887,0.0010257487,0.000061440944,0.00009248985,0.000018206356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040878626,0.00062197493,0.008328738,0.0001362762,0.00041444277,0.000012408962,0.0006026579,0.013210587,0.0006371576,0.18290474,0.6124534,0.17658976],"study_design_scores_gemma":[0.0012563689,0.00011378873,0.0018971809,0.00006887696,0.00001696216,0.000023597227,0.00056176435,0.012115863,0.0005193707,0.054271594,0.9290293,0.00012536868],"about_ca_topic_score_codex":0.000017849125,"about_ca_topic_score_gemma":0.000013999474,"teacher_disagreement_score":0.31657586,"about_ca_system_score_codex":0.00020233018,"about_ca_system_score_gemma":0.000036230093,"threshold_uncertainty_score":0.25106773},"labels":[],"label_agreement":null},{"id":"W2152658951","doi":"10.1016/s0925-5273(99)00112-7","title":"Continuous review inventory models where random lead time depends on lot size and reserved capacity","year":2000,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lead time; Lead (geology); Computer science; Operations management; Economics","score_opus":0.028716948768559274,"score_gpt":0.2218271059377822,"score_spread":0.19311015716922295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152658951","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":[0.94945544,0.0019286274,0.000045143148,0.021449719,0.0025382554,0.00034238267,0.0000044674184,0.000036068937,0.02419991],"genre_scores_gemma":[0.952866,0.017974537,0.0002634825,0.00960018,0.006957776,0.000014701334,0.000017228162,0.000050398812,0.012255692],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988203,0.000029922227,0.0005858349,0.00021870635,0.00021547498,0.000129733],"domain_scores_gemma":[0.9989577,0.00002961938,0.00051897904,0.00015487842,0.00031760093,0.000021199632],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010586322,0.00014659236,0.0002829809,0.000182749,0.00006324595,0.00017444155,0.00031775841,0.00003830597,0.0017299561],"category_scores_gemma":[0.00018138578,0.00013893328,0.00012626694,0.000062364015,0.000056037527,0.0016818414,0.00005243273,0.00016887771,0.00018827456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057896865,0.0016453519,0.00651611,0.0017588722,0.0023841518,0.00011192559,0.00047940447,0.045781497,0.0010433769,0.025088627,0.62866086,0.28074017],"study_design_scores_gemma":[0.004727366,0.00009932955,0.0012877414,0.0016807948,0.00019732435,0.0001337137,0.00013377999,0.013871797,0.00019839687,0.017391229,0.9597533,0.0005252593],"about_ca_topic_score_codex":0.00005056221,"about_ca_topic_score_gemma":0.000025625626,"teacher_disagreement_score":0.33109245,"about_ca_system_score_codex":0.00012513662,"about_ca_system_score_gemma":0.000019515657,"threshold_uncertainty_score":0.9991826},"labels":[],"label_agreement":null},{"id":"W2158599670","doi":"10.1016/j.ijpe.2011.10.028","title":"Modeling approaches for the design of resilient supply networks under disruptions","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":153,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Resilience (materials science); Computer science; Point (geometry); Stochastic programming; Network planning and design; Risk analysis (engineering); Operations research; Mathematical optimization; Engineering; Business; Mathematics","score_opus":0.11221376108133241,"score_gpt":0.2542863019901434,"score_spread":0.142072540908811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158599670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10391124,0.0001880935,0.88842785,0.0033862805,0.0034729668,0.0003342977,0.0000015704942,0.0000088295665,0.00026886084],"genre_scores_gemma":[0.99403983,0.00038709657,0.0029511014,0.00020142835,0.0022904803,0.000015298714,0.000003953572,0.000012180349,0.00009860081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919003,0.000008139344,0.0004569704,0.0001265928,0.00011308847,0.000105147716],"domain_scores_gemma":[0.9989997,0.0000429399,0.00045832814,0.00012874148,0.00036271152,0.0000075556113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078633206,0.000083965235,0.00011469674,0.00021465035,0.00008764974,0.00007396437,0.00042074622,0.000028181192,0.00004457499],"category_scores_gemma":[0.000077674245,0.000059971262,0.00011617387,0.00006799372,0.000056280172,0.00075265387,0.00006422641,0.00008196686,0.000003679333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018398845,0.00008727875,0.00081133406,0.000007306837,0.00015443232,3.5288002e-7,0.000104000945,0.96291316,0.000009778025,0.02808584,0.00070123276,0.006941295],"study_design_scores_gemma":[0.00032751964,0.000021574819,0.0014540321,0.000025371179,0.00009252303,0.000011375392,0.0020253332,0.9765532,0.00009947381,0.017166415,0.0021312442,0.00009194027],"about_ca_topic_score_codex":0.00005601699,"about_ca_topic_score_gemma":0.00002024306,"teacher_disagreement_score":0.8901286,"about_ca_system_score_codex":0.000051572875,"about_ca_system_score_gemma":0.000025675105,"threshold_uncertainty_score":0.2445557},"labels":[],"label_agreement":null},{"id":"W2159350178","doi":"10.1016/s0925-5273(99)00082-1","title":"An optimal policy for a single-vendor single-buyer integrated production–inventory system with capacity constraint of the transport equipment","year":2000,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Vendor; Production (economics); Constraint (computer-aided design); Computer science; Transfer (computing); Operations research; Operations management; Business; Microeconomics; Economics; Mathematics; Marketing","score_opus":0.02997532664061866,"score_gpt":0.22103954329959666,"score_spread":0.191064216658978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159350178","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":[0.987394,0.000016190097,0.0014585401,0.0046683457,0.003422523,0.0005211076,0.000016823264,0.000030906038,0.0024715664],"genre_scores_gemma":[0.9941663,0.000008588315,0.0008675588,0.00027530413,0.0041818838,0.000018410328,0.000019627381,0.000026414787,0.00043591807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998542,0.000021826476,0.0007395279,0.0002607093,0.0002614457,0.00017448781],"domain_scores_gemma":[0.9980601,0.0000084121775,0.0008929981,0.00022772366,0.0007861868,0.000024543097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006423641,0.00017816636,0.00024120323,0.00036417294,0.00009654351,0.00010827912,0.00047468877,0.000043400756,0.0001672125],"category_scores_gemma":[0.00006099054,0.00013432691,0.00017744301,0.0001623409,0.00018829406,0.0012564338,0.00002016495,0.00013068668,0.000005371197],"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":[0.009170313,0.0066792783,0.016495518,0.0012407838,0.003838608,0.000030536077,0.0028398484,0.7035447,0.04149658,0.09155682,0.007084746,0.11602228],"study_design_scores_gemma":[0.011896663,0.0017915968,0.008059797,0.0027525062,0.001269955,0.0020808685,0.018027293,0.031293746,0.13513036,0.003452881,0.7820101,0.002234255],"about_ca_topic_score_codex":0.00010443682,"about_ca_topic_score_gemma":0.000060638817,"teacher_disagreement_score":0.77492535,"about_ca_system_score_codex":0.0005728455,"about_ca_system_score_gemma":0.00012618395,"threshold_uncertainty_score":0.54776925},"labels":[],"label_agreement":null},{"id":"W2163692899","doi":"10.1016/j.ijpe.2010.10.025","title":"Design of sustainable supply chains under the emission trading scheme","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":795,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Supply chain; Sustainability; Environmental economics; Supply chain risk management; Order (exchange); Production (economics); Forcing (mathematics); Emissions trading; Business; Computer science; Legislation; Supply chain management; Scheme (mathematics); Risk analysis (engineering); Greenhouse gas; Service management; Economics; Microeconomics","score_opus":0.015579796997823551,"score_gpt":0.22884894531098945,"score_spread":0.2132691483131659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163692899","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":[0.9519353,0.00004057064,0.014759511,0.026573937,0.0049751424,0.0003496486,6.248146e-7,0.000020396777,0.0013448972],"genre_scores_gemma":[0.9923178,0.000035177774,0.001432903,0.00049318094,0.0038757934,0.0000059207973,0.0000035506441,0.000021815427,0.0018138788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988768,0.000014799403,0.000535741,0.00015857654,0.00022557519,0.000188481],"domain_scores_gemma":[0.99778944,0.000053775064,0.00090814603,0.00019362985,0.001041108,0.000013914423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699622,0.00012122952,0.00015596542,0.00051373296,0.00011652772,0.0002277206,0.0006366931,0.000047408106,0.00024853818],"category_scores_gemma":[0.00037288707,0.00009709476,0.00009622129,0.00016441623,0.000083566614,0.0016105192,0.00014252585,0.00027515556,0.000007214633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008789555,0.00062768126,0.01639729,0.00021810435,0.00095598574,0.00007472796,0.00082931377,0.12230074,0.038381208,0.76317495,0.04439552,0.01176551],"study_design_scores_gemma":[0.0039743637,0.00012837283,0.012758143,0.00017039159,0.00029515693,0.00039906462,0.05084521,0.14541483,0.027089735,0.20630077,0.55159795,0.00102604],"about_ca_topic_score_codex":0.00005620326,"about_ca_topic_score_gemma":0.000005771975,"teacher_disagreement_score":0.5568742,"about_ca_system_score_codex":0.00015878872,"about_ca_system_score_gemma":0.000103443606,"threshold_uncertainty_score":0.39594093},"labels":[],"label_agreement":null},{"id":"W2196226356","doi":"10.1016/j.ijpe.2015.09.021","title":"Environmental operations management and its links with proactivity and performance: A study of the UK food industry","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Proactivity; Context (archaeology); Sample (material); Business; Multilevel model; Resource (disambiguation); Exploratory factor analysis; Marketing; Environmental scanning; Process management; Environmental resource management; Computer science; Environmental management system; Economics; Ecology","score_opus":0.01878446364814065,"score_gpt":0.2043077412627932,"score_spread":0.18552327761465254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2196226356","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":[0.9971027,0.000032468528,0.000023045042,0.001570948,0.0005656458,0.0003897374,0.0000011530959,0.000003622799,0.00031068904],"genre_scores_gemma":[0.99895275,0.000032184824,0.00009014696,0.00011649333,0.00053212896,0.000010432685,0.000001029016,0.000008554766,0.00025630143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993445,0.000011094555,0.0002530077,0.00013393308,0.00018719214,0.00007022367],"domain_scores_gemma":[0.9994368,0.000004353046,0.00029863557,0.00009513361,0.00015229014,0.000012793816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040743215,0.0000850012,0.00009935648,0.0001983277,0.00006801192,0.00011194826,0.00017823763,0.00003712674,0.000012460736],"category_scores_gemma":[0.000026411783,0.000063481784,0.000015886098,0.00006475307,0.000039720282,0.0009975753,0.00022903543,0.00021575972,9.5230814e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050099444,0.0009481757,0.89636326,0.00009323877,0.0009984241,0.000008597777,0.0012852271,0.08460161,0.00003256614,0.0028308628,0.00046201574,0.01187506],"study_design_scores_gemma":[0.0058062924,0.0007447441,0.921077,0.00010805563,0.00038119673,0.00019495594,0.049592353,0.012613288,0.00068295,0.0008288826,0.0075858072,0.00038443762],"about_ca_topic_score_codex":0.00001288156,"about_ca_topic_score_gemma":0.000031374864,"teacher_disagreement_score":0.07198832,"about_ca_system_score_codex":0.00011819214,"about_ca_system_score_gemma":0.000022045608,"threshold_uncertainty_score":0.2588712},"labels":[],"label_agreement":null},{"id":"W2216940447","doi":"10.1016/j.ijpe.2015.12.016","title":"Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system","year":2016,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Computer science; Preventive maintenance; Reliability engineering; Reliability (semiconductor); Sampling (signal processing); Quality (philosophy); Production (economics); Continuous production; Mathematical optimization; Constraint (computer-aided design); Acceptance sampling; Operations research; Mathematics; Engineering","score_opus":0.014502361342691917,"score_gpt":0.20875412701312665,"score_spread":0.19425176567043473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216940447","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":[0.81621313,0.000106155254,0.17624491,0.00063526863,0.0063851643,0.0003196101,0.00000983647,0.000045177305,0.0000407374],"genre_scores_gemma":[0.98477554,0.0011287351,0.013189872,0.000002275001,0.00080175226,0.000010297703,0.0000015291819,0.00002373807,0.00006623471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99838495,0.000056852798,0.0010962314,0.00023695729,0.00010413562,0.00012084211],"domain_scores_gemma":[0.99791616,0.00003537937,0.0010594878,0.00015849163,0.00079283206,0.000037631555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010208992,0.00014093553,0.00034238605,0.00028888872,0.000038523296,0.000024679935,0.00012728045,0.000062876796,0.0000054731804],"category_scores_gemma":[0.00051818724,0.000120854726,0.00008360036,0.00005940666,0.00012424168,0.0009472043,0.000024738096,0.00009920928,0.000001788781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030118908,0.000058769565,0.0013711522,0.00017970652,0.00030483393,7.359133e-7,0.0006243094,0.8292704,0.14468244,0.0009892576,0.00027346585,0.021943737],"study_design_scores_gemma":[0.0019429111,0.0006219777,0.0074024866,0.0033473223,0.00017518584,0.0018360295,0.002841403,0.04458358,0.93141276,0.0043847314,0.00080911483,0.00064249214],"about_ca_topic_score_codex":0.000008839344,"about_ca_topic_score_gemma":0.000007927762,"teacher_disagreement_score":0.78673035,"about_ca_system_score_codex":0.00065757724,"about_ca_system_score_gemma":0.000088753186,"threshold_uncertainty_score":0.49283126},"labels":[],"label_agreement":null},{"id":"W2253916853","doi":"10.1016/j.ijpe.2016.01.004","title":"Optimization of closed-loop supply chain of multi-items with returned subassemblies","year":2016,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spare part; Remanufacturing; Reuse; Reverse logistics; Product (mathematics); Production (economics); Supply chain; Computer science; Closed loop; Business; Manufacturing engineering; Operations management; Unit (ring theory); Service (business); Marketing; Engineering; Economics; Mathematics; Microeconomics","score_opus":0.013747789205326558,"score_gpt":0.21728936305086433,"score_spread":0.20354157384553778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253916853","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":[0.9606754,0.000058208043,0.027151965,0.009385265,0.0020416493,0.00024667685,0.000006099407,0.000017093756,0.00041764116],"genre_scores_gemma":[0.9936379,0.00016894203,0.0039878944,0.00010821101,0.0013222198,0.0000042260835,0.000008359412,0.000024146286,0.00073805987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873126,0.00001471088,0.00071830687,0.0001730812,0.00023827056,0.00012436422],"domain_scores_gemma":[0.9963875,0.00003915177,0.00174582,0.0001647157,0.0016513149,0.0000115305065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072334,0.00012651378,0.00023624983,0.000782906,0.00002743047,0.00006344881,0.00037211052,0.00003964449,0.00014036977],"category_scores_gemma":[0.00034092978,0.00009409455,0.00008829851,0.00016319675,0.00009173319,0.001756641,0.00008319731,0.000064288106,0.0000046984205],"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":[0.0027426514,0.0009814553,0.190788,0.0004061511,0.0015284804,0.000031687225,0.00041014238,0.7047956,0.010765105,0.028185224,0.0044474476,0.054918062],"study_design_scores_gemma":[0.05259127,0.0017074251,0.20414564,0.0048853937,0.0017286647,0.0006457114,0.02696924,0.23685256,0.25350377,0.027989822,0.18449017,0.004490356],"about_ca_topic_score_codex":0.00005611277,"about_ca_topic_score_gemma":0.000029503066,"teacher_disagreement_score":0.46794304,"about_ca_system_score_codex":0.0001650291,"about_ca_system_score_gemma":0.000064254884,"threshold_uncertainty_score":0.38370642},"labels":[],"label_agreement":null},{"id":"W2288707782","doi":"10.1016/j.ijpe.2016.01.011","title":"Families of supply chain coordinating contracts in the presence of retailer effort","year":2016,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Revenue sharing; Business; Supply chain; Profit (economics); Order (exchange); Microeconomics; Revenue; Flexibility (engineering); Function (biology); Profit sharing; Industrial organization; Marketing; Economics; Finance","score_opus":0.01798561191234515,"score_gpt":0.22641439505381694,"score_spread":0.20842878314147179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288707782","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":[0.98671687,0.000040972223,0.0001776693,0.008453655,0.0018888256,0.00012464673,0.0000024152757,0.000002505021,0.0025924204],"genre_scores_gemma":[0.9982714,0.00014009286,0.000094439274,0.00020874939,0.0010949166,0.0000032071252,0.0000016340572,0.000006318695,0.00017925452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990038,0.000014214895,0.0006107719,0.00009908938,0.0001875134,0.00008455562],"domain_scores_gemma":[0.99845266,0.000070553826,0.00096058415,0.000113661576,0.00039813347,0.0000043997134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012572608,0.000071724426,0.00015271068,0.0003565059,0.000017436205,0.00003656745,0.00042884506,0.000022094864,0.00009596704],"category_scores_gemma":[0.00045188164,0.000046517445,0.0000762922,0.000083384635,0.00007851176,0.0010747486,0.00006011284,0.00006602562,0.000006112752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067512156,0.0007746629,0.68537253,0.0001974455,0.00054135645,0.000022196757,0.0015331173,0.0074979216,0.01483288,0.14592604,0.012921787,0.12970495],"study_design_scores_gemma":[0.006991797,0.00020404093,0.55804276,0.0015877497,0.00016198875,0.000120483055,0.0107936915,0.005042006,0.0385786,0.03579486,0.34198818,0.00069386646],"about_ca_topic_score_codex":0.00006030347,"about_ca_topic_score_gemma":0.000030217649,"teacher_disagreement_score":0.3290664,"about_ca_system_score_codex":0.000054692013,"about_ca_system_score_gemma":0.00002191312,"threshold_uncertainty_score":0.18969263},"labels":[],"label_agreement":null},{"id":"W2412110906","doi":"10.1016/j.ijpe.2016.05.015","title":"Optimizing transshipment workloads in less-than-truckload cross-docks","year":2016,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transshipment (information security); Computer science; Workload; Truck; Scheduling (production processes); Operations research; Mathematical optimization; Job shop scheduling; Schedule; Mathematics; Engineering; Operating system","score_opus":0.022759307941540602,"score_gpt":0.2812607907588968,"score_spread":0.2585014828173562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412110906","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":[0.89346474,0.00016173023,0.09853025,0.0017652127,0.0055225766,0.00006587477,0.0000050072754,0.000042032607,0.00044258864],"genre_scores_gemma":[0.96075845,0.0009005227,0.037162058,0.000028308119,0.0009088123,0.00000338231,0.0000010712428,0.00003058274,0.00020678736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987286,0.000042978474,0.0007678571,0.0001551378,0.0001416206,0.00016383527],"domain_scores_gemma":[0.9992744,0.00006670758,0.00023623656,0.00012321706,0.00023702392,0.000062457635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008434599,0.00012783754,0.00018913999,0.00037360724,0.000022704366,0.00008178875,0.0003213297,0.00007180474,0.00007901274],"category_scores_gemma":[0.00015978752,0.00011419378,0.00009603211,0.00008484066,0.000045310127,0.0007627655,0.000020635922,0.00017722178,0.000011704353],"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":[0.00006741565,0.000030568015,0.013122022,0.000005788117,0.000094175804,0.000006602763,0.00035551708,0.9225982,0.00392743,0.00019985062,0.00006844648,0.059523992],"study_design_scores_gemma":[0.018668458,0.0004155425,0.13935104,0.0028136922,0.00014194149,0.0031066753,0.0015554684,0.166991,0.6063235,0.013233338,0.044228274,0.0031711035],"about_ca_topic_score_codex":0.0000026887133,"about_ca_topic_score_gemma":0.000010963998,"teacher_disagreement_score":0.7556072,"about_ca_system_score_codex":0.00069970003,"about_ca_system_score_gemma":0.000060761908,"threshold_uncertainty_score":0.46566874},"labels":[],"label_agreement":null},{"id":"W2493894125","doi":"10.1016/j.ijpe.2016.07.009","title":"Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms","year":2016,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":221,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Greenhouse gas; Supply chain; Closed loop; Production (economics); Environmental economics; Business; Computer science; Carbon tax; Operations management; Operations research; Microeconomics; Manufacturing engineering; Economics; Marketing; Mathematics; Engineering","score_opus":0.010544558297733719,"score_gpt":0.20753541438575449,"score_spread":0.19699085608802078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493894125","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":[0.9473276,0.000011121214,0.025366567,0.025016448,0.0015588354,0.0002288868,0.0000040675645,0.000032160715,0.00045431202],"genre_scores_gemma":[0.99357176,0.00003187403,0.00095033925,0.0011220995,0.0016802171,0.000025726118,0.0000070705246,0.00004270497,0.0025682347],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99862,0.000021805648,0.00042496223,0.0003762072,0.0003204504,0.00023658072],"domain_scores_gemma":[0.99874115,0.000068758796,0.000550735,0.00019832097,0.00039299295,0.000048047597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041992083,0.00025660187,0.00025691645,0.0009079256,0.00009038823,0.00020324478,0.00031096573,0.00005146382,0.000030452567],"category_scores_gemma":[0.00015553497,0.00017721212,0.0000724774,0.0000777385,0.000026745796,0.000796333,0.00015586264,0.00012252982,0.0000049857185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055338503,0.0008644408,0.0087851565,0.00041910404,0.0020044097,0.00022137775,0.0005898742,0.283097,0.04612974,0.16833606,0.0065928428,0.47742614],"study_design_scores_gemma":[0.01798992,0.0010941523,0.04629338,0.0025166192,0.00073185697,0.000384333,0.0016597509,0.10332365,0.5799598,0.20563944,0.03720772,0.0031993564],"about_ca_topic_score_codex":0.00007133376,"about_ca_topic_score_gemma":0.000088940025,"teacher_disagreement_score":0.5338301,"about_ca_system_score_codex":0.00049107533,"about_ca_system_score_gemma":0.000038059334,"threshold_uncertainty_score":0.72265005},"labels":[],"label_agreement":null},{"id":"W2517349365","doi":"10.1016/j.ijpe.2016.08.031","title":"Integration of logistics outsourcing decisions in a green supply chain design: A stochastic multi-objective multi-period multi-product programming model","year":2016,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Outsourcing; Supply chain; Insourcing; Stochastic programming; Greenhouse gas; Context (archaeology); Business; Computer science; Investment (military); Operations research; Product (mathematics); Environmental economics; Industrial organization; Economics; Mathematical optimization; Marketing; Mathematics","score_opus":0.057263847362862726,"score_gpt":0.2800763038802588,"score_spread":0.22281245651739606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517349365","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":[0.09440156,0.000055757544,0.90003335,0.0033040966,0.0015149382,0.00064421457,0.000007793587,0.000026776748,0.000011520345],"genre_scores_gemma":[0.8987813,0.000045419332,0.099575445,0.000083930274,0.0010156988,0.000034943918,0.000007863126,0.0000419783,0.00041344325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773914,0.000046556434,0.001188219,0.0004318679,0.00029483877,0.0002993881],"domain_scores_gemma":[0.9966195,0.000108315944,0.0014418421,0.00025842563,0.0015434162,0.00002849363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017831842,0.00026260206,0.00038036486,0.001563781,0.00007946661,0.00015867001,0.00058873906,0.000072092895,0.000021977037],"category_scores_gemma":[0.003526173,0.00021956653,0.00015601906,0.0002828058,0.00012770745,0.0018422097,0.00022035686,0.00022787931,0.0000129678965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006272989,0.0007092358,0.0029448015,0.00003361227,0.00020663717,0.000024833378,0.0011626953,0.8647324,0.0042883307,0.0012841715,0.00008220628,0.12390379],"study_design_scores_gemma":[0.0053232918,0.000057437934,0.0042636036,0.0004959267,0.00009700084,0.00005399569,0.004693536,0.98001164,0.00113907,0.0029992498,0.000445154,0.00042006932],"about_ca_topic_score_codex":0.0002479882,"about_ca_topic_score_gemma":0.00041219775,"teacher_disagreement_score":0.8043797,"about_ca_system_score_codex":0.0007965348,"about_ca_system_score_gemma":0.00015349845,"threshold_uncertainty_score":0.8953664},"labels":[],"label_agreement":null},{"id":"W2589808788","doi":"10.1016/j.ijpe.2017.02.008","title":"Assessing the profitability of cooperative advertising programs in competing channels","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis; University of Ontario Institute of Technology","funders":"Ministério da Educação","keywords":"Profitability index; Channel (broadcasting); Channel coordination; Industrial organization; Externality; Competition (biology); Business; Vertical integration; Microeconomics; Computer science; Economics; Marketing; Telecommunications; Supply chain; Supply chain management","score_opus":0.06366216355578297,"score_gpt":0.31664240629556556,"score_spread":0.2529802427397826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589808788","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":[0.99121726,0.000028897917,0.00012638098,0.0040913303,0.0031476412,0.00013479401,3.2744612e-7,0.0000046781915,0.0012487194],"genre_scores_gemma":[0.99836147,0.000015382182,0.00019909133,0.00004995208,0.001335665,0.0000025501759,0.0000017076428,0.0000076016795,0.000026586698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911344,0.00002026784,0.0005335873,0.00012084756,0.000119936674,0.00009193037],"domain_scores_gemma":[0.99784946,0.000037161906,0.0012942246,0.00016226676,0.0006512091,0.0000056880986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015792346,0.00007804793,0.0001597622,0.00015667011,0.00016993892,0.00073685974,0.00046155506,0.00002391351,0.000021788373],"category_scores_gemma":[0.0006670009,0.00006196884,0.00006955256,0.000045682562,0.00011045094,0.0030318894,0.0001319517,0.00017205729,0.0000020244447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007139528,0.00011737154,0.85260946,0.000026182337,0.000054156088,0.0000042333727,0.00032870626,0.0017240884,0.0009406333,0.0008921621,0.000021704253,0.14320992],"study_design_scores_gemma":[0.00093462557,0.00001713886,0.9807067,0.00045564267,0.000059557617,0.000068157744,0.0029534784,0.006475408,0.0021296705,0.0023079934,0.003679307,0.00021230406],"about_ca_topic_score_codex":0.00018545476,"about_ca_topic_score_gemma":0.00009651657,"teacher_disagreement_score":0.14299762,"about_ca_system_score_codex":0.00007042067,"about_ca_system_score_gemma":0.000051637697,"threshold_uncertainty_score":0.71055555},"labels":[],"label_agreement":null},{"id":"W2592277141","doi":"10.1016/j.ijpe.2017.02.015","title":"Lower bounding inventory allocations for risk pooling in two-echelon supply chains","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Supply chain; Bounding overwatch; Pooling; Computer science; Supply chain risk management; Newsvendor model; Operations management; Operations research; Mathematical optimization; Business; Supply chain management; Mathematics; Economics; Service management; Artificial intelligence; Marketing","score_opus":0.03378105271026865,"score_gpt":0.2923113532972724,"score_spread":0.25853030058700377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592277141","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":[0.9684616,0.000050710758,0.0019472777,0.010918814,0.015719626,0.00026341827,0.000005250209,0.000015672675,0.0026176367],"genre_scores_gemma":[0.990295,0.0001673025,0.0005914257,0.0004807498,0.007814059,0.000015094394,0.0000132878795,0.00002118278,0.0006018975],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998951,0.000008952777,0.00054671004,0.00019821152,0.00013652406,0.00015856423],"domain_scores_gemma":[0.9979862,0.000019988292,0.0013450446,0.00022826587,0.00040512462,0.000015379132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013042735,0.000116148396,0.00016140599,0.0005822157,0.00025561,0.00059789565,0.0006325381,0.000029820543,0.00007218311],"category_scores_gemma":[0.0007551597,0.00012594604,0.00013658889,0.000038404203,0.000057831716,0.0024914623,0.00011942069,0.00015747217,0.00002536558],"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":[0.0009753947,0.0009794722,0.6126457,0.00014060446,0.0008984984,0.000031130305,0.00076403766,0.08566554,0.00084771414,0.2140952,0.020308563,0.062648185],"study_design_scores_gemma":[0.0068593947,0.000076085285,0.097887896,0.00044817306,0.00021756116,0.000050691036,0.0019518574,0.10970838,0.0010410578,0.07285001,0.7080557,0.00085318804],"about_ca_topic_score_codex":0.00024369617,"about_ca_topic_score_gemma":0.00057955564,"teacher_disagreement_score":0.6877471,"about_ca_system_score_codex":0.0003144292,"about_ca_system_score_gemma":0.000049171293,"threshold_uncertainty_score":0.57655215},"labels":[],"label_agreement":null},{"id":"W2595056127","doi":"10.1016/j.ijpe.2017.08.001","title":"Modeling reward expiry for loyalty programs in a competitive market","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Profitability index; Loyalty; Loyalty program; Valuation (finance); Business; Microeconomics; Value (mathematics); Nash equilibrium; Set (abstract data type); Marketing; Industrial organization; Economics; Loyalty business model; Computer science; Finance","score_opus":0.0677991241825159,"score_gpt":0.2859991278480743,"score_spread":0.21820000366555842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595056127","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":[0.98586094,0.000027908163,0.0010298789,0.0046371473,0.004935759,0.00018552244,0.000002139663,0.0000096461135,0.0033110296],"genre_scores_gemma":[0.99585205,0.000058249243,0.0008769176,0.00011808443,0.002868995,0.000009592559,0.0000057533443,0.000013289014,0.0001970928],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921393,0.0000056890444,0.00042702167,0.00015013182,0.00009073586,0.00011248935],"domain_scores_gemma":[0.99869704,0.0000161018,0.0006021658,0.00014073077,0.0005345855,0.000009383071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085768284,0.00008698924,0.00015457871,0.00026485082,0.00010732353,0.0004592022,0.00041727774,0.000032387466,0.000045451914],"category_scores_gemma":[0.0003394875,0.00009012608,0.00010202027,0.000021497666,0.000033281645,0.0017076397,0.000089923255,0.00012048979,0.0000048205047],"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":[0.0020677974,0.0005185618,0.5470944,0.00011100758,0.00028331814,0.000031241336,0.00032622094,0.008552047,0.00028346502,0.01125735,0.0015890003,0.42788556],"study_design_scores_gemma":[0.009947915,0.00012398123,0.31250677,0.0013746575,0.00034675494,0.00032911543,0.003575954,0.30441436,0.00035904412,0.049446836,0.31608996,0.0014846419],"about_ca_topic_score_codex":0.00013438359,"about_ca_topic_score_gemma":0.000361561,"teacher_disagreement_score":0.42640093,"about_ca_system_score_codex":0.00008933439,"about_ca_system_score_gemma":0.000039988143,"threshold_uncertainty_score":0.44280973},"labels":[],"label_agreement":null},{"id":"W2738692001","doi":"10.1016/j.ijpe.2017.07.018","title":"A constrained cluster-based approach for tracking the S&P 500 index","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmark (surveying); Portfolio; Computer science; Tracking (education); Index (typography); Portfolio optimization; Mathematical optimization; Cluster analysis; Linear programming; Project portfolio management; Finance; Mathematics; Artificial intelligence; Algorithm; Economics","score_opus":0.15579693434693032,"score_gpt":0.4015623934948394,"score_spread":0.2457654591479091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738692001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23841362,0.000034054643,0.73134327,0.021431718,0.00676892,0.00027729638,0.000024387704,0.00000769196,0.001699044],"genre_scores_gemma":[0.9805437,0.00008567549,0.016371455,0.00026351208,0.002006448,0.0000065888908,0.000007629463,0.000010105386,0.00070491404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984007,0.00005943763,0.00083945505,0.00021676371,0.00037679417,0.0001068779],"domain_scores_gemma":[0.9955164,0.00026160086,0.002198195,0.00042758565,0.0015451704,0.000051011833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036130573,0.00009435142,0.00018404434,0.00025473387,0.00034011263,0.0009826004,0.0013756242,0.00005545478,0.000038890666],"category_scores_gemma":[0.0040677222,0.00006349173,0.0002036606,0.00004160339,0.00017500292,0.0009981601,0.00004493289,0.00014152826,0.000007355768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056173996,0.00012788431,0.017682247,0.0000017146685,0.00013983143,8.999373e-7,0.0003823663,0.8030452,0.00009475308,0.0023820577,0.0073282397,0.16825305],"study_design_scores_gemma":[0.0048232423,0.00020064412,0.030301211,0.00004249053,0.00008973257,0.00075522816,0.0012328175,0.46198505,0.0028073955,0.05722748,0.44005188,0.00048281436],"about_ca_topic_score_codex":0.00000729399,"about_ca_topic_score_gemma":0.000018320108,"teacher_disagreement_score":0.74213004,"about_ca_system_score_codex":0.00008086932,"about_ca_system_score_gemma":0.0002198065,"threshold_uncertainty_score":0.9475238},"labels":[],"label_agreement":null},{"id":"W2748780411","doi":"10.1016/j.ijpe.2017.02.014","title":"Corrigendum to “Integration of logistics outsourcing decisions in a green supply chain design: A stochastic multi-objective multi-period multi-product programming model” [Int. J. Prod. Econ. 182c (2016) 165–184]","year":2017,"lang":"en","type":"erratum","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Outsourcing; Supply chain; Product (mathematics); Computer science; Operations research; Stochastic programming; Period (music); Business; Operations management; Mathematical optimization; Mathematics; Economics; Marketing","score_opus":0.07333024173092564,"score_gpt":0.29488391130739944,"score_spread":0.2215536695764738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748780411","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":[0.0019193323,0.0005051735,0.9362603,0.0043445765,0.053233493,0.0034083235,0.00007845565,0.00007160089,0.00017876874],"genre_scores_gemma":[0.57600164,0.0011850721,0.25735945,0.00079454645,0.03008441,0.0007271506,0.0008729573,0.00072728685,0.1322475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949861,0.000083137085,0.0023867427,0.0011661812,0.000688009,0.0006898058],"domain_scores_gemma":[0.9902387,0.00006442215,0.00490648,0.00087473175,0.0038272175,0.00008842828],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030751189,0.0007910468,0.001187957,0.0037446215,0.00029554308,0.0008545533,0.0020040097,0.00035040858,0.000044413588],"category_scores_gemma":[0.006959514,0.0008182624,0.00041165727,0.00035857354,0.00021489187,0.002228664,0.00072112586,0.0013443634,0.000054543783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012694097,0.001434115,0.0005831602,0.0002726798,0.000862642,0.00013286117,0.0025196606,0.84836566,0.00017151759,0.00035849446,0.066704676,0.07732513],"study_design_scores_gemma":[0.004533728,0.0001299252,0.0013693338,0.0021188555,0.00041137656,0.000112911504,0.0050767083,0.9458006,0.00015204666,0.0011776633,0.037830666,0.0012862094],"about_ca_topic_score_codex":0.0013774612,"about_ca_topic_score_gemma":0.0025750133,"teacher_disagreement_score":0.67890084,"about_ca_system_score_codex":0.002080269,"about_ca_system_score_gemma":0.0009712336,"threshold_uncertainty_score":0.99942684},"labels":[],"label_agreement":null},{"id":"W2766331864","doi":"10.1016/j.ijpe.2017.10.024","title":"Coping with risk management and fill rate in the loss-averse newsvendor model","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Science Foundation of Shandong Province; Hong Kong Polytechnic University; China Postdoctoral Science Foundation; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Newsvendor model; CVAR; Loss aversion; Economics; Expected shortfall; Economic shortage; Risk aversion (psychology); Economic order quantity; Microeconomics; Econometrics; Risk management; Actuarial science; Expected utility hypothesis; Supply chain; Business; Mathematical economics","score_opus":0.023157417275069238,"score_gpt":0.23256391344886881,"score_spread":0.20940649617379958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766331864","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":[0.96795315,0.00003660145,0.0013773311,0.018086018,0.0020191625,0.00022769156,0.000002375069,0.000007848455,0.010289851],"genre_scores_gemma":[0.9954459,0.00057695556,0.0005603664,0.0014996554,0.0014029058,0.000005680005,0.0000026583455,0.000010126588,0.0004957646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936277,0.000010170537,0.00027087497,0.00014331174,0.00011992908,0.0000929572],"domain_scores_gemma":[0.99890727,0.000009952461,0.00075721485,0.00019484496,0.00012351834,0.0000072060534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081908115,0.00008900286,0.00010157189,0.00022911691,0.00015384554,0.00052559684,0.00048194997,0.000015411924,0.000026509695],"category_scores_gemma":[0.000062505125,0.00006548245,0.000038903585,0.00002522507,0.00007022224,0.0016477661,0.000119619486,0.00011727936,0.000012265928],"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":[0.0014163024,0.0005435787,0.28379038,0.00019814858,0.001202819,0.00030845072,0.0012481293,0.38044578,0.000025074196,0.21864957,0.050395794,0.061775975],"study_design_scores_gemma":[0.006696164,0.00007511079,0.16138293,0.00028649365,0.0002974827,0.00015462357,0.0032960146,0.11677865,0.00010656805,0.07091737,0.6393601,0.0006485356],"about_ca_topic_score_codex":0.000055676235,"about_ca_topic_score_gemma":0.000096882526,"teacher_disagreement_score":0.5889643,"about_ca_system_score_codex":0.0000644918,"about_ca_system_score_gemma":0.000010027993,"threshold_uncertainty_score":0.5068342},"labels":[],"label_agreement":null},{"id":"W2767566475","doi":"10.1016/j.ijpe.2017.11.005","title":"Reprint of “The impact of development cost on product line design and its environmental performance”","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Laurentian University","funders":"","keywords":"Profit (economics); Market segmentation; New product development; Product proliferation; Industrial organization; Business; Quality (philosophy); Environmental economics; Willingness to pay; Marketing; Environmental pollution; Product (mathematics); Green marketing; Microeconomics; Economics; Product management; Mathematics; Environmental science","score_opus":0.029040565062859888,"score_gpt":0.2503173902497438,"score_spread":0.2212768251868839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767566475","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":[0.9966155,0.000021406891,0.00014390143,0.001571509,0.0011442306,0.00028122804,0.0000011202769,0.0000023803802,0.00021872231],"genre_scores_gemma":[0.99843967,0.00010228096,0.00035602148,0.00003378154,0.0008178212,0.000003821611,0.0000016331222,0.00000987853,0.00023507733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999136,0.0000088488405,0.00046379954,0.0001436997,0.00016221724,0.00008546958],"domain_scores_gemma":[0.99797755,0.000011491123,0.0015609835,0.0002223369,0.00021894912,0.000008670133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086476444,0.00009578196,0.00014199264,0.00020663752,0.000106522566,0.000083261184,0.0004616092,0.000017293265,0.000048253092],"category_scores_gemma":[0.000276355,0.00007301404,0.000071087205,0.000022333192,0.00006537977,0.0008484199,0.00024566194,0.00009208723,0.000005889292],"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":[0.0014714245,0.00077777595,0.24857701,0.00018919366,0.0010983057,0.000007330371,0.00041247995,0.590615,0.0060485345,0.0018080781,0.0012891073,0.14770578],"study_design_scores_gemma":[0.0014520976,0.00010875059,0.87312126,0.00019838827,0.00005827556,0.000052953616,0.00029437023,0.015530343,0.09810457,0.0009576066,0.009876989,0.0002443925],"about_ca_topic_score_codex":0.000014782207,"about_ca_topic_score_gemma":0.0000011998812,"teacher_disagreement_score":0.62454426,"about_ca_system_score_codex":0.00029034514,"about_ca_system_score_gemma":0.00007303473,"threshold_uncertainty_score":0.2977426},"labels":[],"label_agreement":null},{"id":"W2769811843","doi":"10.1016/j.ijpe.2017.10.026","title":"Coordinating the discount policies for retailer, wholesaler, and less-than-truckload carrier under price-sensitive demand: A tri-level optimization approach","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Memorial University of Newfoundland","funders":"","keywords":"Order (exchange); Supply chain; Heuristic; Service (business); Microeconomics; Service provider; Key (lock); Service level; Business; On demand; Economics; Computer science; Marketing; Finance; Commerce","score_opus":0.05870909198650869,"score_gpt":0.2673732164908437,"score_spread":0.20866412450433502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769811843","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":[0.8062799,0.00016349799,0.14996023,0.031572852,0.006796227,0.00073364464,0.000032367316,0.000024829938,0.0044364687],"genre_scores_gemma":[0.9914028,0.0001623615,0.0024918208,0.00069726416,0.004518987,0.000015859076,0.00001746491,0.000022200304,0.00067126006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990655,0.000013116827,0.00041903503,0.00020483314,0.00015890758,0.00013856532],"domain_scores_gemma":[0.99790907,0.000035895504,0.0012470162,0.00019283465,0.00060054415,0.000014618889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009235909,0.00013616522,0.00017650357,0.00021863825,0.0004501754,0.0009596238,0.00041132083,0.00004100699,0.000011298324],"category_scores_gemma":[0.0003554782,0.000107737134,0.00009924792,0.000034103723,0.00014699872,0.0019755932,0.00016586781,0.000114066694,0.0000013581875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010648228,0.00040905512,0.021580761,0.0002690724,0.001853846,0.000006374991,0.0017774446,0.7682428,0.0003446829,0.15538992,0.012512723,0.03654855],"study_design_scores_gemma":[0.007276129,0.0001248626,0.0933401,0.0004529014,0.0006392727,0.00028038782,0.02544659,0.77898484,0.0011422759,0.025090614,0.06594483,0.0012771811],"about_ca_topic_score_codex":0.0000804069,"about_ca_topic_score_gemma":0.0000285841,"teacher_disagreement_score":0.18512289,"about_ca_system_score_codex":0.00012835347,"about_ca_system_score_gemma":0.000033573673,"threshold_uncertainty_score":0.9253674},"labels":[],"label_agreement":null},{"id":"W2771407864","doi":"10.1016/j.ijpe.2017.12.001","title":"A qualitative study of the internalization of ISO 9000 standards: The linkages among firms' motivations, internalization processes, and performance","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Internalization; Audit; Documentation; Business; Qualitative comparative analysis; Accounting; Linkage (software); Quality management; Quality audit; Process management; Quality (philosophy); Process (computing); Operations management; Marketing; Computer science; Economics; Medicine","score_opus":0.028246284788851023,"score_gpt":0.3049797917939133,"score_spread":0.2767335070050623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771407864","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":[0.991419,0.000041356125,0.0038033545,0.0027470978,0.0013993501,0.00027493693,0.000007689456,0.0000043853674,0.0003027871],"genre_scores_gemma":[0.99888206,0.00017727276,0.000030291369,0.00009379715,0.00065438,0.000005711569,0.0000034213795,0.000009555437,0.00014352113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867374,0.00004945318,0.0007262,0.00013539319,0.00034890068,0.00006632325],"domain_scores_gemma":[0.99536747,0.000045158406,0.0026513126,0.0002433813,0.0016862014,0.000006489669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016371297,0.000100203004,0.0001755521,0.00019071516,0.00022071312,0.00028195363,0.000730739,0.00002637795,0.000028001281],"category_scores_gemma":[0.00114896,0.00006753717,0.000054871467,0.0000843631,0.00019912637,0.0021211447,0.00024484837,0.00012308446,7.077408e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041171568,0.00082360464,0.9169525,0.00055325613,0.0010196376,0.0000013514878,0.036210388,0.0154501805,0.00007948396,0.017111748,0.0013962635,0.009989881],"study_design_scores_gemma":[0.003352537,0.0003116688,0.8853116,0.0013008295,0.00037345354,0.000024944678,0.060977846,0.010730509,0.0025894577,0.019183544,0.015431315,0.00041228902],"about_ca_topic_score_codex":0.00026534847,"about_ca_topic_score_gemma":0.00028870243,"teacher_disagreement_score":0.031640887,"about_ca_system_score_codex":0.00007190114,"about_ca_system_score_gemma":0.000060617076,"threshold_uncertainty_score":0.2754086},"labels":[],"label_agreement":null},{"id":"W2787015425","doi":"10.1016/j.ijpe.2018.01.035","title":"The Capacitated Supplier Selection problem with Total Quantity Discount policy and Activation Costs under uncertainty","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Purchasing; Procurement; Stochastic programming; Computer science; Set (abstract data type); Mathematical optimization; Operations research; Selection (genetic algorithm); Total cost; Economics; Microeconomics; Operations management; Mathematics","score_opus":0.014241915579227347,"score_gpt":0.23775411514795947,"score_spread":0.2235121995687321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787015425","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":[0.977661,0.0000073746232,0.0013261578,0.017415294,0.0014590956,0.00016789658,0.0000014677843,0.000014905732,0.0019467982],"genre_scores_gemma":[0.9929245,0.0000449148,0.00014762662,0.0005961514,0.00580465,0.000005108787,0.000009673924,0.000012477602,0.00045488004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992527,0.000011351101,0.00029621116,0.00015056813,0.0001681762,0.00012101539],"domain_scores_gemma":[0.9986669,0.000021082495,0.0005053592,0.00007455395,0.0007197287,0.000012387044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004854768,0.00010046515,0.000089321686,0.00025826515,0.00022016077,0.00042621884,0.00015085035,0.000026046133,0.00005315794],"category_scores_gemma":[0.00009139104,0.000070833856,0.000032185922,0.0001367021,0.00015136164,0.0015621022,0.000048487986,0.000106238505,0.000016647551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030104332,0.00043243964,0.030884704,0.000060011964,0.0014710464,0.000003006026,0.00061656255,0.055698346,0.0039646327,0.8253958,0.022947552,0.05551545],"study_design_scores_gemma":[0.0047986396,0.00056420756,0.08548709,0.00029443976,0.00021762935,0.00045996756,0.0068630506,0.042349134,0.005667363,0.062688924,0.78955954,0.0010500137],"about_ca_topic_score_codex":0.00042188412,"about_ca_topic_score_gemma":0.00059694046,"teacher_disagreement_score":0.766612,"about_ca_system_score_codex":0.00041912074,"about_ca_system_score_gemma":0.0000661826,"threshold_uncertainty_score":0.41100383},"labels":[],"label_agreement":null},{"id":"W2804354316","doi":"10.1016/j.ijpe.2018.05.011","title":"Optimal ( z , Z )-type contracts for vendor-managed inventory","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Vendor-managed inventory; Vendor; Business; Operations management; Type (biology); Computer science; Supply chain; Economics; Supply chain management; Marketing","score_opus":0.0320830719899371,"score_gpt":0.25689235511320696,"score_spread":0.22480928312326987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804354316","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":[0.95084864,0.000074315765,0.0017336814,0.008978331,0.031603493,0.00029218744,0.0000025709317,0.000034983965,0.0064318073],"genre_scores_gemma":[0.9718627,0.000053621137,0.0010594369,0.0020971585,0.02384212,0.000005432055,0.000015518335,0.000022997932,0.0010410332],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909097,0.0000065237614,0.00045508725,0.00016748285,0.00013887175,0.00014104604],"domain_scores_gemma":[0.9981173,0.000015724036,0.0006711633,0.00011814879,0.0010619062,0.000015751923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068851636,0.00010648668,0.00014798819,0.0003967404,0.000082683226,0.00020284356,0.0003873818,0.000033963704,0.00024370811],"category_scores_gemma":[0.00036044436,0.000108669556,0.000115495415,0.00007405097,0.00007591414,0.0014474654,0.00007214732,0.00008701839,0.00012044271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051644756,0.0011598049,0.0138967745,0.00018042697,0.0026317374,0.000042996697,0.00065303856,0.024104279,0.0039825453,0.20035213,0.6689963,0.078835525],"study_design_scores_gemma":[0.000990168,0.0000727692,0.00094170525,0.000029309902,0.000051469306,0.000021666749,0.00023098386,0.004792769,0.0010818646,0.0046816017,0.98696035,0.00014536934],"about_ca_topic_score_codex":0.000011718577,"about_ca_topic_score_gemma":0.000015102512,"teacher_disagreement_score":0.31796405,"about_ca_system_score_codex":0.00014204513,"about_ca_system_score_gemma":0.000037707796,"threshold_uncertainty_score":0.44314158},"labels":[],"label_agreement":null},{"id":"W2807963703","doi":"10.1016/j.ijpe.2018.05.016","title":"The impact of abusing return policies: A newsvendor model with opportunistic consumers","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Newsvendor model; Business; Economics; Microeconomics; Marketing; Supply chain","score_opus":0.03595982702112527,"score_gpt":0.2770464197198531,"score_spread":0.24108659269872784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807963703","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":[0.9862452,0.000025386873,0.0015136916,0.004709407,0.0021113195,0.00011552699,0.0000039146266,0.000010079946,0.005265478],"genre_scores_gemma":[0.99650127,0.00008989791,0.00026914186,0.0002679948,0.0024264285,0.0000013764562,0.0000037816392,0.000013893964,0.00042620383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991918,0.00000631257,0.00042936657,0.00010448586,0.00014978278,0.00011823201],"domain_scores_gemma":[0.99803215,0.000018675839,0.0009609126,0.00013576404,0.0008384762,0.000014047013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000477453,0.000096949654,0.00013018522,0.00025539624,0.00010138562,0.00017905392,0.00033834085,0.000018841123,0.000072763294],"category_scores_gemma":[0.0001330515,0.00006428719,0.000106288,0.000082414284,0.0002017609,0.00083718,0.000057709276,0.00008086378,0.000009959262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008379803,0.0012527923,0.13237625,0.00017921929,0.008395061,0.000050963437,0.0028975368,0.3482278,0.0077214693,0.1873953,0.18981834,0.11330545],"study_design_scores_gemma":[0.0050865,0.00062942586,0.01665101,0.0005109895,0.00049321546,0.00051696145,0.0055382983,0.67367464,0.002185452,0.039566223,0.25411665,0.0010306261],"about_ca_topic_score_codex":0.00016659309,"about_ca_topic_score_gemma":0.00005422812,"teacher_disagreement_score":0.3254468,"about_ca_system_score_codex":0.00016838418,"about_ca_system_score_gemma":0.000116333336,"threshold_uncertainty_score":0.26215553},"labels":[],"label_agreement":null},{"id":"W2869532756","doi":"10.1016/j.ijpe.2018.07.010","title":"ASACT - Data preparation for forecasting: A method to substitute transaction data for unavailable product consumption data","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Polytechnique Montréal","funders":"Air Liquide","keywords":"Computer science; Transaction data; Consumption (sociology); Aggregate (composite); Vendor; Supply chain; Product (mathematics); Bullwhip effect; Smoothing; Database transaction; Operations research; Data mining; Supply chain management; Database; Business; Marketing","score_opus":0.6072450353166755,"score_gpt":0.5304593492959611,"score_spread":0.07678568602071445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2869532756","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":[0.021451153,0.00004016663,0.96112835,0.009556084,0.0038376774,0.0010984433,0.002779525,0.0000354848,0.00007311636],"genre_scores_gemma":[0.14254357,0.00007119412,0.84803814,0.00019222795,0.0060068252,0.000050485352,0.002073009,0.000033263776,0.0009912974],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99678797,0.000076385855,0.0013824755,0.0011427192,0.0004155879,0.00019486964],"domain_scores_gemma":[0.9924678,0.0005636256,0.0014423882,0.002873352,0.0025482897,0.00010452088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011489264,0.0001586889,0.00029065393,0.0004227751,0.00023378368,0.00046029137,0.005177688,0.000063986416,0.00006550096],"category_scores_gemma":[0.007202152,0.00014409338,0.00006751839,0.0002118992,0.000088247856,0.0038562873,0.00051066984,0.000121139616,0.000034851262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022175633,0.00030124458,0.00031227482,0.000022668228,0.00033019582,5.674223e-7,0.0002598578,0.0070593134,0.004537813,0.002182589,0.5295895,0.45318645],"study_design_scores_gemma":[0.00040310618,0.00022007135,0.00009633193,0.000033235603,0.00007562283,0.00021732113,0.000044715543,0.30446723,0.010708997,0.010592821,0.67298603,0.00015451541],"about_ca_topic_score_codex":0.000023830451,"about_ca_topic_score_gemma":0.00018751796,"teacher_disagreement_score":0.45303193,"about_ca_system_score_codex":0.00015191511,"about_ca_system_score_gemma":0.00037309242,"threshold_uncertainty_score":0.9621518},"labels":[],"label_agreement":null},{"id":"W2883116624","doi":"10.1016/j.ijpe.2018.07.015","title":"Optimal production and pricing strategies for a remanufacturing firm","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Remanufacturing; Cannibalization; Monopolistic competition; Production (economics); Business; Product (mathematics); Industrial organization; Dynamic pricing; Sustainability; Pricing strategies; Quality (philosophy); Computer science; Microeconomics; Environmental economics; Economics; Marketing; Manufacturing engineering; Monopoly","score_opus":0.01567378092076476,"score_gpt":0.24189265249409178,"score_spread":0.226218871573327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883116624","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":[0.97625226,0.000039008377,0.007485176,0.009162697,0.006140287,0.00025625867,6.646159e-7,0.00002462378,0.0006390261],"genre_scores_gemma":[0.9803031,0.000038062608,0.003977566,0.00027896737,0.015019364,0.000007865906,0.0000033413182,0.000018359062,0.0003533498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914753,0.000004571881,0.00038449388,0.00021129487,0.000115521645,0.00013656805],"domain_scores_gemma":[0.99837196,0.000015332647,0.00058857916,0.000097104,0.00091743376,0.000009605289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000710023,0.00010625086,0.00012692004,0.0004572116,0.00011876427,0.0004245617,0.0002011402,0.000028217763,0.000031293686],"category_scores_gemma":[0.00037952227,0.00010638763,0.000054832464,0.000063403095,0.00007092323,0.002760309,0.00009116534,0.0000787504,0.000007378157],"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":[0.005261446,0.00087813585,0.022268467,0.0014718864,0.0030040136,0.00005510733,0.0051485323,0.4493006,0.0076689604,0.18427055,0.0934668,0.22720551],"study_design_scores_gemma":[0.0026442688,0.00031851968,0.014460333,0.00039113933,0.0003208287,0.0005000769,0.025216186,0.029339971,0.015351918,0.101923026,0.8084966,0.0010371427],"about_ca_topic_score_codex":0.00002444397,"about_ca_topic_score_gemma":0.000029632578,"teacher_disagreement_score":0.7150298,"about_ca_system_score_codex":0.00015705092,"about_ca_system_score_gemma":0.00004555582,"threshold_uncertainty_score":0.43383616},"labels":[],"label_agreement":null},{"id":"W2884929083","doi":"10.1016/j.ijpe.2018.07.016","title":"Electric vehicle routing problem with recharging stations for minimizing energy consumption","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":269,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; McMaster University","funders":"","keywords":"Energy consumption; Computer science; Heuristics; Vehicle routing problem; Greenhouse gas; Electric vehicle; Routing (electronic design automation); Mathematical optimization; Automotive engineering; Engineering; Computer network; Electrical engineering; Mathematics; Power (physics)","score_opus":0.021965773158420066,"score_gpt":0.26770347160931873,"score_spread":0.24573769845089866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884929083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33007592,0.00005318186,0.6668308,0.0006532966,0.0018599433,0.000104706254,0.000005746265,0.000071556846,0.00034485591],"genre_scores_gemma":[0.80142105,0.00017866935,0.19669154,0.000051556042,0.0015276589,0.000009379679,0.0000075535754,0.000036900008,0.00007569872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906486,0.00003239587,0.00050756667,0.00013963676,0.00010397143,0.00015157936],"domain_scores_gemma":[0.9986015,0.00008728175,0.00037118263,0.000084978485,0.00080825423,0.000046795223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061248225,0.00010553442,0.000139644,0.00031514483,0.00009022273,0.000088188506,0.00016731741,0.000044864235,0.00002325493],"category_scores_gemma":[0.00010919845,0.00011044244,0.000051300496,0.00010864527,0.000030646304,0.00054561277,0.000011324747,0.000108479726,0.000003407634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002326361,0.000051734,0.00225053,0.000025573194,0.00043966548,0.0000015250715,0.0008071134,0.8722615,0.02727402,0.005869238,0.0007332739,0.09005314],"study_design_scores_gemma":[0.0014621282,0.00026575668,0.00079842884,0.00014673149,0.00007291567,0.0003891559,0.0002129124,0.8023887,0.1839803,0.0016125547,0.008321089,0.00034931314],"about_ca_topic_score_codex":0.0000024785454,"about_ca_topic_score_gemma":0.000007940756,"teacher_disagreement_score":0.47134513,"about_ca_system_score_codex":0.00031423144,"about_ca_system_score_gemma":0.00007094244,"threshold_uncertainty_score":0.4503712},"labels":[],"label_agreement":null},{"id":"W2887134090","doi":"10.1016/j.ijpe.2018.07.026","title":"Competitive uncapacitated lot-sizing game","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"European Regional Development Fund; Université Catholique de Louvain; Fundació Catalana de Trasplantament; Fédération Wallonie-Bruxelles","keywords":"Sizing; Computer science; Operations research; Microeconomics; Mathematical optimization; Operations management; Mathematical economics; Economics; Mathematics","score_opus":0.034099389541825814,"score_gpt":0.23631771620727995,"score_spread":0.20221832666545414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887134090","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":[0.93578464,0.00037817244,0.0057799043,0.0052477196,0.016289145,0.00010290408,0.00008829871,0.000023172202,0.036306027],"genre_scores_gemma":[0.992482,0.0004825748,0.001817843,0.00034451857,0.0037500092,0.0000018773977,0.0000067846327,0.00002364014,0.0010907268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848217,0.000013201616,0.001042818,0.00026081453,0.000030262787,0.00017072375],"domain_scores_gemma":[0.9980208,0.00003089223,0.0012553922,0.00017508677,0.00044040644,0.00007741252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007954537,0.00012790233,0.00031584513,0.0003581294,0.000055097524,0.00010991724,0.00041367896,0.000062753985,0.0005816626],"category_scores_gemma":[0.00021976621,0.00015159162,0.000154072,0.000060551876,0.00017937778,0.00080424565,0.000055116074,0.00016300919,0.0004657344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001489372,0.00007702599,0.0023513373,0.0000029452058,0.00035049918,0.000003350355,0.0011490813,0.0011310751,0.00017314764,0.9915262,0.00094730314,0.002139093],"study_design_scores_gemma":[0.0013769177,0.00038026724,0.0027924962,0.00004967791,0.000015710102,0.00042476988,0.0009997126,0.0012857809,0.0055473186,0.3917446,0.5949558,0.0004269196],"about_ca_topic_score_codex":0.000026867248,"about_ca_topic_score_gemma":0.000023006181,"teacher_disagreement_score":0.5997816,"about_ca_system_score_codex":0.00034567728,"about_ca_system_score_gemma":0.000051203842,"threshold_uncertainty_score":0.63687974},"labels":[],"label_agreement":null},{"id":"W2888546274","doi":"10.1016/j.ijpe.2018.08.020","title":"Trade-offs between environmental and economic performance in production and inventory-routing problems","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Production (economics); Sustainability; Environmental economics; Time horizon; Routing (electronic design automation); Computer science; Business; Operations research; Economics; Microeconomics; Marketing; Engineering","score_opus":0.01708886336193741,"score_gpt":0.23533347463246637,"score_spread":0.21824461127052897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888546274","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":[0.9965706,0.00007308049,0.00049751904,0.00065138005,0.0020147655,0.00008688285,0.0000031267032,0.000017557646,0.000085129024],"genre_scores_gemma":[0.9930039,0.0008612601,0.00428039,0.000010918227,0.00179464,0.0000018528787,0.0000025816653,0.00001939984,0.000025036543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916977,0.000028845801,0.0004821895,0.00015697155,0.00005948704,0.00010271263],"domain_scores_gemma":[0.9996448,0.000014737104,0.0002086628,0.000066745706,0.000020230156,0.00004482124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068836904,0.00009777247,0.00014171,0.00022651447,0.000041358686,0.00004638172,0.00009851759,0.000047494887,0.000013781513],"category_scores_gemma":[0.00004663753,0.00011268319,0.00002052851,0.00002401563,0.00008813712,0.0006717659,0.000027901606,0.00015825251,0.000004245629],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003716455,0.000028030085,0.6881686,0.000030047479,0.0001484503,8.9855155e-7,0.0021366535,0.2447993,0.0035113215,0.000087883775,0.00007832356,0.060973328],"study_design_scores_gemma":[0.0013818655,0.00026927772,0.6325253,0.00025877764,0.00005389979,0.0010520376,0.0005774013,0.321158,0.035980757,0.00070846925,0.005438929,0.00059526105],"about_ca_topic_score_codex":0.0000023572438,"about_ca_topic_score_gemma":0.000008514349,"teacher_disagreement_score":0.076358706,"about_ca_system_score_codex":0.00033262212,"about_ca_system_score_gemma":0.000019527313,"threshold_uncertainty_score":0.45950872},"labels":[],"label_agreement":null},{"id":"W2890346581","doi":"10.1016/j.ijpe.2018.09.015","title":"Three strategies for engaging a buyer in supplier development efforts","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology; Dalhousie University; Carleton University; Laurentian University","funders":"","keywords":"Profit (economics); Business; Profit margin; Industrial organization; Supply chain; Investment (military); Supplier relationship management; Margin (machine learning); Microeconomics; Supply and demand; Marketing; Supply chain management; Economics; Computer science","score_opus":0.0322086038286863,"score_gpt":0.2513257177044813,"score_spread":0.21911711387579502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890346581","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":[0.9733533,0.000022471759,0.011207374,0.0038611088,0.0077750464,0.00021782586,7.77288e-7,0.000014475065,0.003547598],"genre_scores_gemma":[0.9895625,0.000008754479,0.002616294,0.0006977014,0.0069523836,0.000012697078,0.000007817908,0.000014053548,0.00012779559],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991584,0.0000024569833,0.00045875102,0.00014571691,0.00010961899,0.00012509598],"domain_scores_gemma":[0.99913925,0.000011337016,0.00037703733,0.00007365845,0.0003908338,0.00000789495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071516214,0.000090486894,0.00011538344,0.00046953335,0.00006177798,0.00023584197,0.0002525775,0.000024293193,0.00017133821],"category_scores_gemma":[0.000060341918,0.00008927785,0.00005494778,0.00005920636,0.00003652412,0.0014813436,0.00006415862,0.00007558283,0.00003618327],"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":[0.001858356,0.0010055181,0.09853501,0.000277513,0.0012254298,0.000033006057,0.0030098662,0.019337408,0.0015443765,0.46827942,0.08771322,0.31718087],"study_design_scores_gemma":[0.0011134549,0.000025640891,0.0098385345,0.000068436944,0.000018401006,0.000017335788,0.0011828891,0.003936245,0.0011597715,0.043878384,0.93855345,0.00020746954],"about_ca_topic_score_codex":0.000021396996,"about_ca_topic_score_gemma":0.0003600356,"teacher_disagreement_score":0.8508402,"about_ca_system_score_codex":0.00016874987,"about_ca_system_score_gemma":0.0000700023,"threshold_uncertainty_score":0.36406448},"labels":[],"label_agreement":null},{"id":"W2890849782","doi":"10.1016/j.ijpe.2018.09.014","title":"Managing emissions allowances of electricity producers to maximize CO2 abatement: DEA models for analyzing emissions and allocating emissions allowances","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Inefficiency; Electricity; Data envelopment analysis; Environmental economics; Ecological efficiency; Electricity generation; Natural resource economics; Economics; Environmental science; Business; Microeconomics; Ecology; Power (physics); Engineering; Mathematics","score_opus":0.0782257000300771,"score_gpt":0.37442259608599776,"score_spread":0.29619689605592064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890849782","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":[0.8253958,0.00034854148,0.15095945,0.020178443,0.00221154,0.0003078173,0.000023682152,0.00001861056,0.00055608863],"genre_scores_gemma":[0.9634122,0.00036875944,0.03447025,0.00018981159,0.00094424095,0.0000084664325,0.0000036847257,0.000019400755,0.00058314524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962148,0.00012795927,0.0019385681,0.0006686032,0.0007520239,0.00029803556],"domain_scores_gemma":[0.9937115,0.0005721628,0.0020219123,0.00039121028,0.0030585378,0.0002447154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048203524,0.00021573946,0.000523144,0.0011985333,0.0004106628,0.00027322126,0.0011547102,0.00006997935,0.000062980835],"category_scores_gemma":[0.0065672137,0.00017883076,0.0002553542,0.0006661139,0.00020480996,0.0011351104,0.0001875366,0.00020158046,0.0000050917456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087032985,0.00051833986,0.010837605,0.00003482896,0.0011272078,0.0000049965233,0.005738666,0.7420258,0.06988157,0.0043733367,0.010143186,0.15444414],"study_design_scores_gemma":[0.00229104,0.0010363276,0.0033313138,0.0010833611,0.0005501675,0.00033369943,0.0069637597,0.53919303,0.20371224,0.19959037,0.04064906,0.0012656228],"about_ca_topic_score_codex":0.000032096475,"about_ca_topic_score_gemma":0.000046765672,"teacher_disagreement_score":0.20283274,"about_ca_system_score_codex":0.00023182074,"about_ca_system_score_gemma":0.00036731333,"threshold_uncertainty_score":0.7862042},"labels":[],"label_agreement":null},{"id":"W2892459692","doi":"10.1016/j.ijpe.2018.09.033","title":"Strategic decentralization under sequential channel structure and quality choices","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Decentralization; Robustness (evolution); Supply chain; Quality (philosophy); Microeconomics; Industrial organization; Channel (broadcasting); Business; Economics; Marketing; Computer science; Market economy","score_opus":0.06323633268481658,"score_gpt":0.284726273325772,"score_spread":0.2214899406409554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892459692","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":[0.9863223,0.0000415845,0.0006432988,0.0028212052,0.008593643,0.00007308778,0.0000029343416,0.000013851448,0.0014881371],"genre_scores_gemma":[0.9884609,0.000104357816,0.00009883353,0.0009651773,0.010145,6.333672e-7,0.000016576487,0.000009871133,0.00019863932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922997,0.000010741954,0.00037940635,0.0001493456,0.00013636383,0.000094179915],"domain_scores_gemma":[0.9988361,0.0000063359694,0.0005829122,0.00007368852,0.00048811582,0.000012850236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031730227,0.000090299014,0.00010577345,0.00023921089,0.00006986639,0.00030035505,0.00018703628,0.000034856046,0.00032095172],"category_scores_gemma":[0.00005617535,0.0000861285,0.000042221258,0.000060955557,0.00007728339,0.0014449046,0.00006049648,0.000070276146,0.00001368477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009755466,0.00048561758,0.044252485,0.00023282229,0.0014572884,0.00000905002,0.0006130074,0.016596386,0.009380898,0.90106666,0.010146284,0.014783943],"study_design_scores_gemma":[0.005764892,0.00027666942,0.08458502,0.0002488827,0.00034317593,0.0002263668,0.0050889207,0.020426715,0.013130361,0.4942452,0.37425047,0.001413334],"about_ca_topic_score_codex":0.000057581256,"about_ca_topic_score_gemma":0.00013089071,"teacher_disagreement_score":0.4068215,"about_ca_system_score_codex":0.000084362626,"about_ca_system_score_gemma":0.000022357603,"threshold_uncertainty_score":0.35141963},"labels":[],"label_agreement":null},{"id":"W2909407385","doi":"10.1016/j.ijpe.2019.01.011","title":"Cooperative game approaches to coordinating a three-echelon closed-loop supply chain with fairness concerns","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":245,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Shapley value; Cooperative game theory; Supply chain; Profit (economics); Microeconomics; Game theory; Computer science; Business; Economics; Marketing","score_opus":0.060051478854082435,"score_gpt":0.22951834208185407,"score_spread":0.16946686322777163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909407385","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":[0.973399,0.000026993117,0.0030562195,0.014102822,0.00376597,0.00046044067,0.000003933725,0.000028617398,0.0051560276],"genre_scores_gemma":[0.9928059,0.000011169439,0.000509249,0.0012245234,0.0038469117,0.000015636644,0.000017653705,0.000031015257,0.0015379515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875206,0.0000134294905,0.0004951612,0.0003017697,0.0002537475,0.00018382684],"domain_scores_gemma":[0.99858207,0.000022549053,0.0006584254,0.00016630253,0.0005449905,0.000025694822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000657136,0.00018472986,0.00025697387,0.0004615949,0.000054812892,0.00035814728,0.00046805918,0.000041140105,0.00038003974],"category_scores_gemma":[0.000095396346,0.00016234035,0.000084390274,0.00017335321,0.000046514226,0.0017307025,0.00014027402,0.00018216598,0.00018854211],"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":[0.002656509,0.00089329603,0.2309634,0.00025561368,0.0020158016,0.00005755789,0.0019202424,0.39130124,0.0015160852,0.26719388,0.015797935,0.08542841],"study_design_scores_gemma":[0.013878657,0.0011770244,0.06705174,0.001397899,0.000427996,0.00042077195,0.020695375,0.13719186,0.011077389,0.015091713,0.7284695,0.0031200768],"about_ca_topic_score_codex":0.00006623602,"about_ca_topic_score_gemma":0.00012060444,"teacher_disagreement_score":0.7126716,"about_ca_system_score_codex":0.00025395435,"about_ca_system_score_gemma":0.000059629365,"threshold_uncertainty_score":0.66200477},"labels":[],"label_agreement":null},{"id":"W2947607726","doi":"10.1016/j.ijpe.2019.05.010","title":"Emerging economy sourcing: Implications of supplier social practices for firm performance","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Purchasing; Emerging markets; Supply chain; Sustainability; Supplier relationship management; Stakeholder; Industrial organization; Enforcement; Strategic sourcing; Procurement; Scrutiny; Marketing; Supply chain management; Economics; Finance; Strategic planning","score_opus":0.019705481090431853,"score_gpt":0.26640560257133195,"score_spread":0.2467001214809001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947607726","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":[0.96428376,0.000021066493,0.0010434437,0.02554662,0.0025231862,0.00033959612,0.0000032205762,0.000011950318,0.006227151],"genre_scores_gemma":[0.99390024,0.000026371426,0.000686976,0.00042950892,0.0040544784,0.000014973373,0.000015349166,0.000019123312,0.00085295795],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905455,0.0000045289657,0.0005530147,0.00016809214,0.000088093744,0.00013171665],"domain_scores_gemma":[0.99640626,0.00003999326,0.002441067,0.00011769434,0.0009875586,0.0000074038594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069426565,0.00009623626,0.00017176766,0.00045318133,0.000078694364,0.00014231862,0.00039154466,0.000032340016,0.00018320649],"category_scores_gemma":[0.00017037311,0.00010397478,0.00011934988,0.000084999236,0.000028127404,0.0023538554,0.00009108497,0.00009116969,0.000026417407],"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":[0.0016121578,0.00091229,0.3770612,0.0015153562,0.002213455,0.000002861655,0.0013438066,0.15970442,0.0025316924,0.2602892,0.055590965,0.1372226],"study_design_scores_gemma":[0.0011822183,0.00003563193,0.019094815,0.00003104423,0.00009816815,0.000023880692,0.00260932,0.0073523996,0.00082730124,0.012805075,0.95571464,0.00022551916],"about_ca_topic_score_codex":0.000018375922,"about_ca_topic_score_gemma":0.0000046336622,"teacher_disagreement_score":0.90012366,"about_ca_system_score_codex":0.00017857863,"about_ca_system_score_gemma":0.00006284121,"threshold_uncertainty_score":0.42399687},"labels":[],"label_agreement":null},{"id":"W2953157784","doi":"10.1016/j.ijpe.2019.06.014","title":"Financing decisions in a supply chain with a capital-constrained manufacturer as new entrant","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Interest rate; Business; Competition (biology); Supply chain; Capital (architecture); Finance; Industrial organization; Microeconomics; Economics; Marketing","score_opus":0.01016029557598602,"score_gpt":0.20685535421519896,"score_spread":0.19669505863921294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953157784","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":[0.9803265,0.000037594058,0.00037335267,0.012646546,0.0034106167,0.00021139352,0.0000011727425,0.000011211571,0.002981653],"genre_scores_gemma":[0.99439853,0.00009165278,0.00051325426,0.001610544,0.0019476498,0.0000026903335,0.000008958642,0.000016989494,0.0014097382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989591,0.000006418514,0.00047515146,0.00020641925,0.0001970311,0.00015584473],"domain_scores_gemma":[0.99917656,0.000022420296,0.00046950253,0.00013135465,0.00017502347,0.000025113515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003977248,0.00013154304,0.00018642818,0.0006282781,0.00002551726,0.0001834247,0.00031270928,0.00003484791,0.00077274657],"category_scores_gemma":[0.00014697366,0.0001141973,0.000084763175,0.00009946973,0.000024985067,0.0013524693,0.000057074107,0.00016044705,0.00020335363],"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":[0.004237394,0.0013410961,0.24172325,0.000115264986,0.0014386962,0.00047031528,0.003443897,0.2840668,0.0032423898,0.20122218,0.046816155,0.21188255],"study_design_scores_gemma":[0.011300657,0.0002883289,0.07585749,0.00097346475,0.00013057377,0.0008520221,0.006069038,0.0067025083,0.0037073249,0.05829175,0.8346905,0.0011363564],"about_ca_topic_score_codex":0.00019447322,"about_ca_topic_score_gemma":0.00018922634,"teacher_disagreement_score":0.78787434,"about_ca_system_score_codex":0.00018569584,"about_ca_system_score_gemma":0.00013464747,"threshold_uncertainty_score":0.8461033},"labels":[],"label_agreement":null},{"id":"W2962217431","doi":"10.1016/j.ijpe.2019.07.006","title":"Branch-and-check methods for multi-level operating room planning and scheduling","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Computer science; Integer programming; Mathematical optimization; Scheduling (production processes); Discretization; Benchmark (surveying); Constraint programming; Job shop scheduling; Algorithm; Schedule; Mathematics; Stochastic programming","score_opus":0.2199644761789627,"score_gpt":0.5176285095362245,"score_spread":0.2976640333572618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962217431","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6430737,0.00031747136,0.3476994,0.0046135215,0.0038763667,0.00033354288,0.000008044845,0.000009079178,0.00006887246],"genre_scores_gemma":[0.42435437,0.00022707587,0.57360625,0.0003705002,0.0009257914,0.000011867163,0.000009432014,0.000016345954,0.00047836872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986957,0.00015571227,0.0007547647,0.00019261401,0.000058998132,0.00014224094],"domain_scores_gemma":[0.9982523,0.00023503248,0.00051725,0.00008054486,0.00083828025,0.00007664001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002155168,0.000093667215,0.00021238186,0.00017662242,0.00027149188,0.000056608904,0.00010094631,0.000101883554,0.000031196858],"category_scores_gemma":[0.0009755896,0.00008934561,0.000040308918,0.000034905217,0.00001676761,0.0005333001,0.0000434619,0.000327777,0.000004874754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047994053,0.00015711396,0.21227133,0.00037465314,0.0005654699,0.0000015768629,0.016131815,0.4148885,0.015235751,0.014301912,0.0002469004,0.32534504],"study_design_scores_gemma":[0.0052165003,0.00029967245,0.03419096,0.0009361884,0.00006277849,0.00022350902,0.008514871,0.92782223,0.0023756127,0.0018194983,0.018045634,0.0004925349],"about_ca_topic_score_codex":0.000013898699,"about_ca_topic_score_gemma":0.000007900261,"teacher_disagreement_score":0.51293373,"about_ca_system_score_codex":0.0001457311,"about_ca_system_score_gemma":0.00026561352,"threshold_uncertainty_score":0.3643408},"labels":[],"label_agreement":null},{"id":"W2966188844","doi":"10.1016/j.ijpe.2019.07.028","title":"Exploring service positioning in platform-based markets","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ministère de l’Éducation, Gouvernement de l’Ontario; Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Movie theater; Empirical research; Context (archaeology); Service (business); Order (exchange); Revenue; Computer science; Robustness (evolution); Duopoly; Business; Marketing; Economics; Microeconomics","score_opus":0.05354343955961438,"score_gpt":0.20993164217521829,"score_spread":0.1563882026156039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966188844","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":[0.9855949,0.000006983121,0.0000416988,0.0018090561,0.0050873007,0.00007185397,0.0000010048834,0.000010992957,0.0073761735],"genre_scores_gemma":[0.99676484,0.000020040748,0.00026895947,0.0011425287,0.0017204945,0.0000024523379,0.000013573687,0.0000147945675,0.000052346615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991824,6.870373e-7,0.00048187035,0.00013349402,0.00008510932,0.00011645274],"domain_scores_gemma":[0.99912167,0.000017161681,0.00050369,0.00008606714,0.00026129145,0.000010103819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040671026,0.0000910252,0.0001430234,0.0005032076,0.000022003605,0.00043269896,0.00025433223,0.000025953417,0.00014172673],"category_scores_gemma":[0.000049564438,0.000096167474,0.00006904828,0.000094556846,0.000008193187,0.012585531,0.000049731443,0.00012269468,0.00024494986],"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":[0.0020284976,0.0005178082,0.14972474,0.0001954895,0.00033576973,0.000037523783,0.00023407879,0.69708955,0.0011273026,0.07474869,0.00090993,0.073050626],"study_design_scores_gemma":[0.014436255,0.00017574296,0.35475653,0.0017319025,0.00011916967,0.00059946446,0.007546411,0.25102448,0.0071182013,0.12860373,0.23126018,0.0026279304],"about_ca_topic_score_codex":0.000043485397,"about_ca_topic_score_gemma":0.000060942937,"teacher_disagreement_score":0.44606507,"about_ca_system_score_codex":0.00018477647,"about_ca_system_score_gemma":0.0000397704,"threshold_uncertainty_score":0.91242063},"labels":[],"label_agreement":null},{"id":"W2970460007","doi":"10.1016/j.ijpe.2019.08.007","title":"The multi-plant perishable food production routing with packaging consideration","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","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":"Computer science; Food spoilage; Production (economics); Supply chain; Routing (electronic design automation); Mathematical optimization; Integer (computer science); Vehicle routing problem; Operations research; Process (computing); Integer programming; Selection (genetic algorithm); Algorithm; Mathematics; Business; Economics; Artificial intelligence","score_opus":0.01566775008233696,"score_gpt":0.2307604342598984,"score_spread":0.21509268417756144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970460007","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":[0.94682586,0.000119180004,0.038062163,0.0026242514,0.0117507875,0.0002190993,0.000004853332,0.00007353998,0.0003202418],"genre_scores_gemma":[0.96698326,0.00022702786,0.031436116,0.000027899534,0.0009723664,0.0000036297456,0.0000058278756,0.000031446092,0.00031240276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990069,0.00005050011,0.0004991409,0.00015221952,0.00015321509,0.00013798666],"domain_scores_gemma":[0.9988954,0.00006338695,0.00037091385,0.00015497212,0.00047891698,0.000036424157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093219447,0.00011578693,0.00013832991,0.00012887118,0.000110237685,0.0002045521,0.00018588151,0.000038521368,0.000016843096],"category_scores_gemma":[0.00025686208,0.00009242901,0.000048923204,0.00007226817,0.000032334006,0.00071145495,0.000018203515,0.00023103046,0.000012470499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050113158,0.000018268622,0.008073366,0.000007721739,0.00020987268,0.0000011285848,0.0003672371,0.9834401,0.002161441,0.0005595406,0.00028637514,0.0048248633],"study_design_scores_gemma":[0.0024015312,0.0003560279,0.0066297567,0.00031801226,0.0000900082,0.004525973,0.0033693472,0.83193916,0.1262888,0.00072850066,0.022605192,0.0007476755],"about_ca_topic_score_codex":0.0000015959441,"about_ca_topic_score_gemma":0.0000171094,"teacher_disagreement_score":0.1515009,"about_ca_system_score_codex":0.0002659916,"about_ca_system_score_gemma":0.0000751707,"threshold_uncertainty_score":0.37691453},"labels":[],"label_agreement":null},{"id":"W2977441098","doi":"10.1016/j.ijpe.2019.09.031","title":"Retail store churn and performance – The moderating role of sales amplitude and unpredictability","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Quarter (Canadian coin); Sample (material); Closing (real estate); Marketing; Retail industry; Retail sales; Population; Industrial organization; Finance","score_opus":0.015851676783037196,"score_gpt":0.21505041807948813,"score_spread":0.19919874129645093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977441098","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":[0.99665153,0.000378663,0.000009390037,0.0018507118,0.00076142646,0.00008310401,0.0000016194207,0.0000049139826,0.00025863564],"genre_scores_gemma":[0.9992398,0.00022887113,0.00009952635,0.000029398216,0.00034905656,0.0000013164828,0.0000013240611,0.0000059440404,0.000044751832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994102,0.0000061142305,0.0003186114,0.00011075432,0.000097241595,0.00005706526],"domain_scores_gemma":[0.9990724,0.000024861021,0.00047220045,0.00008540407,0.0003398196,0.000005312974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004760605,0.00006785397,0.00012974963,0.00009057857,0.000056811736,0.000094928575,0.00013349696,0.000017678718,0.000022115319],"category_scores_gemma":[0.00008898945,0.000052438812,0.00003252141,0.00002757252,0.000085204105,0.00087942084,0.00011135873,0.000101798316,0.000003390666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058926726,0.000017571354,0.9416772,0.000024422374,0.000067314926,1.3093474e-7,0.00014930633,0.00022782166,0.00067024166,0.00084716117,0.000009822668,0.056250077],"study_design_scores_gemma":[0.00033661613,0.000018648014,0.9869627,0.000047714668,0.00005253192,0.000048892623,0.00096272334,0.005579941,0.0002582487,0.0007307603,0.004914913,0.00008633976],"about_ca_topic_score_codex":0.000026359301,"about_ca_topic_score_gemma":0.00003990407,"teacher_disagreement_score":0.05616374,"about_ca_system_score_codex":0.00003342355,"about_ca_system_score_gemma":0.000017047709,"threshold_uncertainty_score":0.21383926},"labels":[],"label_agreement":null},{"id":"W2977472915","doi":"10.1016/j.ijpe.2019.09.026","title":"Market dominance or product cost advantage: Retail power impacts on assortment decisions","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market power; Profitability index; Dominance (genetics); Product (mathematics); Popularity; Business; Competition (biology); Industrial organization; Economics; Microeconomics; Market share; Phenomenon; Marketing; Monopoly","score_opus":0.025624144759891842,"score_gpt":0.2603149175765164,"score_spread":0.2346907728166246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977472915","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":[0.92938334,0.00007123944,0.000105206585,0.015223116,0.02109834,0.0006161294,0.00000766117,0.000028210208,0.03346674],"genre_scores_gemma":[0.9817176,0.0003950522,0.00030623234,0.0023919845,0.0037119382,0.0000093778945,0.00001245367,0.000030399504,0.011424988],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985166,0.000014466615,0.00064298173,0.0003057021,0.00032893138,0.00019132807],"domain_scores_gemma":[0.99815786,0.000049650374,0.0009634392,0.00029094328,0.00051294087,0.00002517105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000973577,0.00017631201,0.00023096842,0.00051030144,0.0000577834,0.0002713268,0.0004947119,0.00003402986,0.0035402172],"category_scores_gemma":[0.0006466942,0.00014292309,0.00014028954,0.00012299824,0.000030903655,0.0018715237,0.00012445479,0.00018755267,0.0005721773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010921578,0.0022676399,0.07187819,0.000119655364,0.0018957139,0.00018507877,0.0002886195,0.021556072,0.0014852142,0.03801161,0.6997805,0.15161014],"study_design_scores_gemma":[0.0013410999,0.000094457966,0.014329264,0.00016126956,0.000039488452,0.00007064399,0.00034520365,0.0005889018,0.0006817957,0.0010494733,0.981066,0.00023240311],"about_ca_topic_score_codex":0.000007085682,"about_ca_topic_score_gemma":0.000014326743,"teacher_disagreement_score":0.2812855,"about_ca_system_score_codex":0.0003800606,"about_ca_system_score_gemma":0.000067678644,"threshold_uncertainty_score":0.99737066},"labels":[],"label_agreement":null},{"id":"W2982845268","doi":"10.1016/j.ijpe.2019.107548","title":"Bullwhip effect in the oil and gas supply chain: A multiple-case study","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Bullwhip effect; Supply chain; Context (archaeology); Business; Supply chain management; Fossil fuel; Industrial organization; Marketing","score_opus":0.016258848190440826,"score_gpt":0.2298439066133031,"score_spread":0.21358505842286227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982845268","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":[0.98665416,0.000039247316,0.0000042298793,0.008565914,0.0032411157,0.00016825798,5.3461395e-7,0.000006669975,0.001319869],"genre_scores_gemma":[0.9964903,0.00005982752,0.000019060439,0.0009079769,0.0022069882,0.000009329494,0.0000022895872,0.000010393611,0.00029385625],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917716,0.000033341836,0.00037275473,0.00016547754,0.00015160738,0.00009966778],"domain_scores_gemma":[0.99931484,0.00006480876,0.00035217998,0.00013161631,0.00012897252,0.0000075674707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015088237,0.000104369035,0.00014544131,0.00037998924,0.000040305258,0.00025333127,0.00027818567,0.000020414549,0.000095249605],"category_scores_gemma":[0.0001460851,0.00007875274,0.000057318266,0.00008023382,0.000023223865,0.00090316485,0.00008471067,0.00014857503,0.000048495214],"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":[0.00043602622,0.00062421727,0.90309983,0.0000804316,0.00026986466,0.00055311265,0.001549746,0.0038351715,0.00008447579,0.0022738178,0.0030520535,0.08414127],"study_design_scores_gemma":[0.029314576,0.0014150734,0.21516764,0.0004959786,0.00047263337,0.01005602,0.09925673,0.04777964,0.00032116257,0.008958315,0.58503294,0.0017293008],"about_ca_topic_score_codex":0.00018544565,"about_ca_topic_score_gemma":0.00018159286,"teacher_disagreement_score":0.6879322,"about_ca_system_score_codex":0.00007146356,"about_ca_system_score_gemma":0.000010508878,"threshold_uncertainty_score":0.32114434},"labels":[],"label_agreement":null},{"id":"W2984910633","doi":"10.1016/j.ijpe.2019.107532","title":"A cost model for the economic evaluation of in-situ monitoring tools in metal additive manufacturing","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Politecnico di Milano; European Institute of Innovation and Technology; European Commission","keywords":"Scrap; Aerospace; Benchmark (surveying); Manufacturing engineering; Computer science; Process (computing); Process engineering; Reliability engineering; Industrial engineering; Engineering; Mechanical engineering","score_opus":0.06393787087838147,"score_gpt":0.2990567671867904,"score_spread":0.23511889630840893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984910633","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":[0.9940558,0.000089744826,0.0016171299,0.00012720685,0.0036204332,0.00028667354,0.000044754288,0.0000044427243,0.00015383182],"genre_scores_gemma":[0.9987144,0.0003416155,0.00038021524,0.0000039150177,0.0004945038,0.000026667938,0.0000067413775,0.000013404863,0.000018545981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993018,0.000015681724,0.00041183445,0.000095205156,0.000092461865,0.000083022685],"domain_scores_gemma":[0.9994188,0.000110247485,0.00024383138,0.0000686603,0.0001456745,0.000012778748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008195588,0.0000823007,0.00016298475,0.00018361192,0.000009914136,0.000038170194,0.00018050149,0.00003120773,0.000037280235],"category_scores_gemma":[0.00006885826,0.00007354464,0.000057607893,0.000012470826,0.000013728136,0.00059239037,0.000017658647,0.00009390395,0.0000040182226],"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":[0.000058714188,0.000008592425,0.00025278222,0.000013787882,0.00008444262,1.5679005e-7,0.00026199015,0.9669906,0.002202674,0.00007126718,0.000018071749,0.030036915],"study_design_scores_gemma":[0.00094152906,0.000022616847,0.013230527,0.00008710106,0.000030450012,0.000015415138,0.00032630452,0.24489053,0.7372475,0.0024036656,0.00068803225,0.000116282594],"about_ca_topic_score_codex":0.000005131892,"about_ca_topic_score_gemma":0.000040111583,"teacher_disagreement_score":0.7350449,"about_ca_system_score_codex":0.00057826005,"about_ca_system_score_gemma":0.000082979124,"threshold_uncertainty_score":0.2999063},"labels":[],"label_agreement":null},{"id":"W3004504977","doi":"10.1016/j.ijpe.2020.107672","title":"Reactive and proactive pathways to sustainable apparel supply chains: Manufacturer's perspective on stakeholder salience and organizational learning toward responsible management","year":2020,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Business; Salience (neuroscience); Supply chain; Perspective (graphical); Knowledge management; Stakeholder; Clothing; Supply chain management; Process management; Industrial organization; Marketing; Computer science; Management; Economics","score_opus":0.023740752958400654,"score_gpt":0.22206546398634103,"score_spread":0.19832471102794036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004504977","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":[0.90527064,0.00006850522,0.0026546002,0.08452599,0.000785498,0.0009444086,0.0000057340094,0.000059992388,0.0056846426],"genre_scores_gemma":[0.9935997,0.00009443742,0.001004926,0.003014077,0.0015682838,0.000018019795,0.000009886455,0.00003515503,0.0006554767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9985797,0.000028447013,0.0003740568,0.00047108778,0.00030989447,0.00023681331],"domain_scores_gemma":[0.9981534,0.00004210439,0.0004760037,0.000096393065,0.0011767647,0.000055342018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005688997,0.00020695166,0.00021400226,0.00068508944,0.00016331923,0.0004465588,0.00028269622,0.000041999243,0.000056823068],"category_scores_gemma":[0.00073885656,0.00021180412,0.000041619453,0.00026728807,0.00006247731,0.0015415673,0.00035587765,0.00026249007,0.00001733351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029010745,0.0002631708,0.0065986444,0.0002149637,0.0009983806,0.00026850667,0.009765456,0.059695147,0.00042762104,0.90896875,0.0038170428,0.0060812524],"study_design_scores_gemma":[0.0052892463,0.00089811307,0.06511569,0.00025873756,0.00037741553,0.00021459209,0.5990474,0.006866383,0.006264981,0.13726316,0.17673746,0.0016668022],"about_ca_topic_score_codex":0.000045223933,"about_ca_topic_score_gemma":0.0000035774492,"teacher_disagreement_score":0.77170557,"about_ca_system_score_codex":0.00066376186,"about_ca_system_score_gemma":0.00008178436,"threshold_uncertainty_score":0.86371213},"labels":[],"label_agreement":null},{"id":"W3005935421","doi":"10.1016/j.ijpe.2020.107674","title":"Take-back regulation: Remanufacturing or Eco-design?","year":2020,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Product (mathematics); Business; Regulator; Production (economics); Maximization; Industrial organization; Product design; Computer science; Risk analysis (engineering); Environmental economics; Microeconomics; Economics; Manufacturing engineering; Engineering; Mathematics","score_opus":0.04334120474478518,"score_gpt":0.23060014431345296,"score_spread":0.1872589395686678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005935421","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":[0.5074181,0.00014220663,0.08633656,0.36960098,0.021363527,0.0012439352,0.0000044914127,0.0002012009,0.013688999],"genre_scores_gemma":[0.97056794,0.00006961778,0.0045852577,0.0047827833,0.018154759,0.000003803482,0.000010373934,0.000038482005,0.0017869695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987941,0.000013147177,0.00060748187,0.0002273521,0.00021336613,0.00014456567],"domain_scores_gemma":[0.99836785,0.0000281575,0.0008815305,0.00012585615,0.000573488,0.000023136765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005253219,0.00013790245,0.00018264986,0.00032636645,0.00006229537,0.0003601534,0.00047574195,0.000037378693,0.0014688462],"category_scores_gemma":[0.0004151624,0.00012765973,0.00009848999,0.0001354559,0.000030530347,0.002334276,0.00013403995,0.0001424899,0.00030643624],"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":[0.0024877272,0.00019262603,0.0025681057,0.0002205523,0.00079330587,0.00013482876,0.00051620125,0.7687196,0.0005802031,0.011557924,0.16624491,0.045983985],"study_design_scores_gemma":[0.0014492001,0.000063200714,0.0029039776,0.000058574256,0.00007810896,0.00009957065,0.0013496432,0.018689044,0.0034542296,0.011451644,0.96003586,0.00036693193],"about_ca_topic_score_codex":0.000010767192,"about_ca_topic_score_gemma":0.0000050569165,"teacher_disagreement_score":0.79379094,"about_ca_system_score_codex":0.00022443957,"about_ca_system_score_gemma":0.00006210016,"threshold_uncertainty_score":0.99944395},"labels":[],"label_agreement":null},{"id":"W3040107723","doi":"10.1016/j.ijpe.2020.107858","title":"A probability approach to multiple criteria ABC analysis with misclassification tolerance","year":2020,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Data mining; Sample (material); Set (abstract data type); Odds; Grid; Artificial intelligence; Machine learning; Mathematics; Logistic regression","score_opus":0.23302039953650644,"score_gpt":0.3678072965562064,"score_spread":0.13478689701969998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040107723","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":[0.6241185,0.0000076254487,0.34856135,0.02587481,0.0002938599,0.0002144613,0.000022374412,0.000024112922,0.0008829102],"genre_scores_gemma":[0.8753638,0.0000064667897,0.12362764,0.00036195584,0.0005345022,0.00001563567,0.000006199519,0.0000066769207,0.00007711922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825084,0.000052373238,0.00082562934,0.00039005937,0.000392423,0.00008869419],"domain_scores_gemma":[0.9972688,0.00008844827,0.0007679865,0.00028692032,0.0014543227,0.00013349886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011500804,0.0000945693,0.00024389755,0.0003041606,0.000060769446,0.00023349508,0.0008231261,0.000032448344,0.000050865987],"category_scores_gemma":[0.0015556893,0.00007258157,0.00014195105,0.0006750512,0.000058969286,0.0004411502,0.000055537945,0.000121785444,0.000018843073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015875584,0.0010192915,0.08606874,0.00001452907,0.0011682515,0.0000030297592,0.0045087854,0.78293633,0.008090302,0.013743195,0.027913062,0.07294691],"study_design_scores_gemma":[0.0014818322,0.0007207772,0.13581073,0.00004465422,0.00037806956,0.00030773002,0.001530335,0.5390117,0.020644391,0.03784023,0.26144418,0.0007853538],"about_ca_topic_score_codex":0.000007928225,"about_ca_topic_score_gemma":0.00001263868,"teacher_disagreement_score":0.2512453,"about_ca_system_score_codex":0.00011408718,"about_ca_system_score_gemma":0.00007836685,"threshold_uncertainty_score":0.29597905},"labels":[],"label_agreement":null},{"id":"W3088014247","doi":"10.1016/j.ijpe.2020.107929","title":"The impact of online reviews in the presence of customer returns","year":2020,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Dilemma; Duopoly; Competition (biology); Quality (philosophy); Value (mathematics); Product (mathematics); Business; Microeconomics; Two-sided market; Marketing; Economics; Industrial organization; Network effect; Computer science","score_opus":0.051477938974333295,"score_gpt":0.3640021795385113,"score_spread":0.312524240564178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088014247","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":[0.9668488,0.00035866417,0.0000050678464,0.027759328,0.0012038057,0.000108740656,0.000008871732,0.000001562033,0.0037051719],"genre_scores_gemma":[0.9937686,0.0047343676,0.00006028286,0.00006679127,0.0012821202,7.8899996e-7,7.6846163e-7,0.0000024829833,0.00008383021],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989957,0.00021699491,0.0004946112,0.000055663437,0.00017107194,0.000065955806],"domain_scores_gemma":[0.9986291,0.00026742407,0.0007113921,0.000058074176,0.00030272204,0.000031297695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002161112,0.00003979396,0.00013100661,0.000038808943,0.000038621485,0.000034679262,0.00051024015,0.000022275817,0.000014466687],"category_scores_gemma":[0.005868014,0.00002345852,0.00013424279,0.00010588714,0.00017644565,0.00024967748,0.000018862933,0.00013444854,0.0000017977898],"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":[0.0018082892,0.0011733887,0.11849803,0.00006450059,0.00076297356,0.000011378114,0.25910425,0.010203997,0.0014048677,0.03648861,0.070120014,0.5003597],"study_design_scores_gemma":[0.0014287204,0.0007547131,0.14152993,0.0005969569,0.00007427201,0.00005629951,0.075851716,0.00059845677,0.00092240877,0.0224898,0.7552789,0.0004178296],"about_ca_topic_score_codex":0.0001522082,"about_ca_topic_score_gemma":0.00021599619,"teacher_disagreement_score":0.6851589,"about_ca_system_score_codex":0.000080538164,"about_ca_system_score_gemma":0.00021450772,"threshold_uncertainty_score":0.70249844},"labels":[],"label_agreement":null},{"id":"W3106795364","doi":"10.1016/j.ijpe.2020.107992","title":"Industry 4.0 and the human factor – A systems framework and analysis methodology for successful development","year":2020,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":551,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"H2020 Marie Skłodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; European Commission","keywords":"Witness; Conceptual framework; Computer science; Implementation; Context (archaeology); Industry 4.0; Automation; Knowledge management; Critical success factor; Process management; Risk analysis (engineering); Management science; Business; Engineering; Sociology","score_opus":0.07530676292774971,"score_gpt":0.297797438733539,"score_spread":0.22249067580578927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106795364","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":[0.9044915,0.00016083202,0.08982043,0.0038795322,0.0013347693,0.00012331396,0.000020027968,0.000016791942,0.00015279462],"genre_scores_gemma":[0.9940767,0.00007820312,0.005117989,0.000095128846,0.00059147883,0.000008316627,0.0000043100804,0.000008914688,0.000018942981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930984,0.000024496527,0.00045879633,0.000081383405,0.000064065505,0.00006141406],"domain_scores_gemma":[0.99943805,0.00014266316,0.00017936838,0.000042352774,0.00014347048,0.000054107997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034406103,0.00007413158,0.00019249163,0.0001304093,0.000037853824,0.00013228577,0.00014279998,0.00013384207,0.000011324089],"category_scores_gemma":[0.00016270501,0.00006050429,0.000049912294,0.000063625346,0.000055681245,0.0003541439,0.000015760395,0.00034931998,5.999127e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005079896,0.00005485614,0.047390245,0.00029126165,0.015203393,0.000004111204,0.016055513,0.7794909,0.0005246487,0.08335152,0.0013892667,0.05573629],"study_design_scores_gemma":[0.020233642,0.00060843356,0.10998303,0.0006993414,0.003416623,0.002212372,0.031438302,0.23500109,0.054681998,0.04904628,0.4892717,0.0034072006],"about_ca_topic_score_codex":0.0000012638434,"about_ca_topic_score_gemma":0.0000011872356,"teacher_disagreement_score":0.5444898,"about_ca_system_score_codex":0.0000587084,"about_ca_system_score_gemma":0.000023057744,"threshold_uncertainty_score":0.24672934},"labels":[],"label_agreement":null},{"id":"W3124366479","doi":"10.1016/j.ijpe.2012.05.011","title":"Dynamic price quotation in a responsive supply chain for one-of-a-kind production","year":2012,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Production (economics); Supply chain; Computer science; Constant (computer programming); Econometrics; Microeconomics; Dynamic pricing; Distribution (mathematics); Operations research; Mathematical optimization; Industrial organization; Economics; Business; Mathematics; Marketing","score_opus":0.02583757232687256,"score_gpt":0.2589505255428295,"score_spread":0.23311295321595693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124366479","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":[0.9802177,0.00008011462,0.001141433,0.009060396,0.008574392,0.00040005965,0.0000033453566,0.000009772013,0.0005128189],"genre_scores_gemma":[0.9939986,0.00009815876,0.00155102,0.00028796057,0.0036179442,0.000019487718,0.000023235216,0.000018050941,0.0003855622],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885136,0.000016986758,0.00065015774,0.00015561141,0.000167902,0.00015796217],"domain_scores_gemma":[0.99817944,0.000032169,0.0010325727,0.0001077279,0.0006353193,0.000012752179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014739378,0.00010322221,0.00017431064,0.0008936107,0.00003543668,0.000060055187,0.00021863019,0.00003997626,0.00006971038],"category_scores_gemma":[0.00067413907,0.00011248866,0.00009192012,0.00015268006,0.000034355704,0.002337325,0.000046021152,0.00009971315,0.000013990819],"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":[0.012832099,0.0069468534,0.3625526,0.0013791365,0.0024169635,0.000011898173,0.008065276,0.12527138,0.042457387,0.23954102,0.041555565,0.15696979],"study_design_scores_gemma":[0.0069368468,0.00029229952,0.4179998,0.00084536953,0.000346505,0.00016539596,0.00871472,0.023983357,0.02030844,0.047314,0.47179464,0.0012986318],"about_ca_topic_score_codex":0.00002291583,"about_ca_topic_score_gemma":0.000060984377,"teacher_disagreement_score":0.43023905,"about_ca_system_score_codex":0.00031319546,"about_ca_system_score_gemma":0.00004145909,"threshold_uncertainty_score":0.45871547},"labels":[],"label_agreement":null},{"id":"W3130546063","doi":"10.1016/j.ijpe.2021.108058","title":"Integrated production planning and warehouse storage assignment problem: An IoT assisted case","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Heuristic; Operations research; Production (economics); Warehouse; Integer programming; Visibility; Mathematical optimization; Linear programming; Algorithm; Mathematics; Economics; Business","score_opus":0.025429623137078857,"score_gpt":0.25042715736677984,"score_spread":0.22499753422970098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130546063","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":[0.81381506,0.00029426414,0.180055,0.0006719971,0.0048610116,0.00008959278,0.000011161166,0.00008786696,0.00011405459],"genre_scores_gemma":[0.96022946,0.00027997786,0.03850451,0.000018330757,0.0007718357,0.000003092594,0.000026191246,0.000025464788,0.00014114846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921846,0.000031279993,0.0003936073,0.00017523354,0.00008824946,0.00009318862],"domain_scores_gemma":[0.9992225,0.000015486872,0.00020280272,0.0001083952,0.0003845929,0.00006621063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022908047,0.00011407422,0.00013686405,0.00016058951,0.000055929893,0.000091867594,0.00007447969,0.000050161372,0.000015276457],"category_scores_gemma":[0.00014350207,0.000119759534,0.000030268968,0.00004941413,0.000028223067,0.00045643034,0.000018601091,0.00020950162,0.0000011146459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032768756,0.00005532034,0.00011838668,0.000013230714,0.00011204414,0.00022681784,0.00030165925,0.97782296,0.0017615256,0.00007982228,0.00028107304,0.019194402],"study_design_scores_gemma":[0.0037624028,0.0006409298,0.0051569687,0.00067211094,0.00036988754,0.14776249,0.0073761023,0.41501385,0.35033098,0.008702196,0.058254182,0.0019578927],"about_ca_topic_score_codex":0.000003903333,"about_ca_topic_score_gemma":0.0000137231345,"teacher_disagreement_score":0.5628091,"about_ca_system_score_codex":0.0003100339,"about_ca_system_score_gemma":0.000051119892,"threshold_uncertainty_score":0.4883652},"labels":[],"label_agreement":null},{"id":"W3139322558","doi":"10.1016/j.ijpe.2021.108102","title":"Manufacturer's encroachment strategy with substitutable green products","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Supply chain; Industrial organization; Profit (economics); Upstream (networking); Product (mathematics); Downstream (manufacturing); Decentralised system; Microeconomics; Marketing; Economics; Computer science; Control (management)","score_opus":0.013465893324549012,"score_gpt":0.2079205726508409,"score_spread":0.1944546793262919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139322558","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":[0.95263684,0.00019894603,0.0010019926,0.0336773,0.0052903662,0.0002486786,0.0000026801883,0.000038304835,0.006904902],"genre_scores_gemma":[0.9875699,0.000079076,0.001106946,0.00093596143,0.00657877,0.000006020479,0.000024504065,0.000024928057,0.0036738869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998811,0.00001042596,0.00044046328,0.0002803143,0.0002718845,0.00018588146],"domain_scores_gemma":[0.9975249,0.000009735675,0.0006300296,0.0002066709,0.0016127744,0.000015880645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045491708,0.00015125106,0.00018351208,0.00035380857,0.000070240516,0.00041132123,0.00035589386,0.000032414468,0.00028175677],"category_scores_gemma":[0.00011613459,0.00013687716,0.00006401746,0.00017963577,0.000045711622,0.0021435786,0.000118879354,0.00016133957,0.000047568825],"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":[0.0016093585,0.0016772437,0.038920563,0.0006580441,0.0037450253,0.0020361796,0.000547387,0.65398127,0.00244911,0.14509103,0.047355592,0.1019292],"study_design_scores_gemma":[0.0018436689,0.00005903649,0.008901946,0.000092838905,0.00018904076,0.00078970124,0.0032100114,0.0009069702,0.018331515,0.01708333,0.94806194,0.00052997324],"about_ca_topic_score_codex":0.000115616465,"about_ca_topic_score_gemma":0.00007988575,"teacher_disagreement_score":0.90070635,"about_ca_system_score_codex":0.00029343634,"about_ca_system_score_gemma":0.00019503162,"threshold_uncertainty_score":0.5581689},"labels":[],"label_agreement":null},{"id":"W3171881927","doi":"10.1016/j.ijpe.2021.108193","title":"Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":250,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Supply chain; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Sustainable development; Process management; Virology; Medicine; Marketing; Political science; Infectious disease (medical specialty)","score_opus":0.03883257832722901,"score_gpt":0.29598542557898694,"score_spread":0.2571528472517579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171881927","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35525852,0.00094456365,0.02027308,0.61476356,0.0045333654,0.00087457144,0.000006776361,0.000056496992,0.0032890835],"genre_scores_gemma":[0.97052383,0.0015406259,0.005437822,0.010436532,0.0073554087,0.00011526892,0.00006338195,0.000035579033,0.004491518],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888146,0.0000069403154,0.000524164,0.00027126644,0.00011805155,0.00019812571],"domain_scores_gemma":[0.99782133,0.00004291668,0.00043273924,0.00017016438,0.001488269,0.000044558776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075478107,0.00011492165,0.00017104801,0.00049710146,0.00015851829,0.0002462074,0.00039889856,0.000032747692,0.000104273684],"category_scores_gemma":[0.0008920919,0.00011404405,0.00009196747,0.0001439858,0.000011706421,0.0009875312,0.00016995538,0.0000648517,0.00003309301],"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":[0.0006067503,0.0008350092,0.025501035,0.0004817597,0.00093275175,0.00007767915,0.0013258089,0.080591865,0.00072420534,0.5192424,0.17312182,0.19655891],"study_design_scores_gemma":[0.0005740369,0.000014385013,0.016599795,0.000019402514,0.000024793115,0.000055254393,0.0033128965,0.00007946523,0.0007617561,0.014748469,0.96366006,0.00014971227],"about_ca_topic_score_codex":0.000018147903,"about_ca_topic_score_gemma":0.00013603119,"teacher_disagreement_score":0.7905382,"about_ca_system_score_codex":0.0004010314,"about_ca_system_score_gemma":0.0002807487,"threshold_uncertainty_score":0.46505815},"labels":[],"label_agreement":null},{"id":"W3194833555","doi":"10.1016/j.ijpe.2021.108256","title":"Mobile procurement platforms: Bridging the online and offline worlds in China's restaurant industry","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"HEC Montréal; Higher Education Commission, Pakistan","keywords":"Procurement; Business; Supply chain; E-procurement; Marketing; Process management; Knowledge management; Computer science","score_opus":0.06721579100854352,"score_gpt":0.3670982366110034,"score_spread":0.29988244560245986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194833555","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":[0.9760998,0.00025643245,0.00026673527,0.02130798,0.0019359529,0.000075819815,0.000009848512,0.0000073614506,0.000040050407],"genre_scores_gemma":[0.996855,0.00044441255,0.0009325429,0.0002478226,0.000548691,0.0000030893657,0.0000034594075,0.0000059213494,0.00095906574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984825,0.00003596435,0.0008444748,0.00021668032,0.0003217573,0.0000985942],"domain_scores_gemma":[0.9985921,0.000051063922,0.0005790702,0.00020111435,0.0005357021,0.000040959876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016595472,0.000082211336,0.00016450559,0.00037233834,0.00005366975,0.00013604882,0.00045244663,0.00009368076,0.000100108584],"category_scores_gemma":[0.0009268578,0.000057140365,0.000059337137,0.0002053348,0.00008526327,0.0005071101,0.00012572348,0.00062455767,0.000004607437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031511585,0.0008745848,0.6001519,0.0000042841566,0.00016622964,0.00015338353,0.00231864,0.029446319,0.0019409206,0.0042964136,0.0056484686,0.35468373],"study_design_scores_gemma":[0.0016456972,0.00014151391,0.88459224,0.000108801905,0.000024036755,0.0033702254,0.0074785626,0.0027041137,0.008500485,0.027848478,0.06334914,0.00023670854],"about_ca_topic_score_codex":0.0000058741834,"about_ca_topic_score_gemma":0.00015505141,"teacher_disagreement_score":0.354447,"about_ca_system_score_codex":0.00014026389,"about_ca_system_score_gemma":0.00016933364,"threshold_uncertainty_score":0.2713427},"labels":[],"label_agreement":null},{"id":"W3211022785","doi":"10.1016/j.ijpe.2021.108341","title":"Supplier selection with information disclosure in the presence of uninformed consumers","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Business; Preference; Quality (philosophy); Dual (grammatical number); Selection (genetic algorithm); Marketing; Microeconomics; Supply chain; Industrial organization; Economics; Computer science","score_opus":0.010770460371627105,"score_gpt":0.20709111252339138,"score_spread":0.19632065215176428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211022785","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":[0.98190135,0.000018740868,0.0006652342,0.010022053,0.0017619159,0.00013318,0.0000019503962,0.0000052873793,0.0054902616],"genre_scores_gemma":[0.9984941,0.00005818309,0.00020475216,0.00058238395,0.00053653657,0.000003389029,0.00001931868,0.000003594203,0.00009775264],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929816,0.000009907339,0.00038878107,0.000059560534,0.00017860637,0.000064985405],"domain_scores_gemma":[0.9988078,0.000018240806,0.0005471646,0.000071680755,0.0005508337,0.0000042854604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004596565,0.000058976275,0.000087202505,0.00026420024,0.00002621563,0.00012787795,0.0002041814,0.000018758854,0.000101084406],"category_scores_gemma":[0.00013895934,0.000043650245,0.000038924056,0.00016810288,0.000039798582,0.0026063474,0.000030804305,0.000097837765,0.000008268446],"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":[0.0017207625,0.0008192834,0.50731826,0.00035534988,0.0010278182,0.000033406253,0.00411706,0.16768272,0.0008527623,0.2058637,0.039762974,0.070445895],"study_design_scores_gemma":[0.0032695343,0.00008923388,0.110807225,0.00022280084,0.00012511882,0.00036277773,0.017573351,0.008399275,0.005865537,0.006390334,0.84652394,0.00037085073],"about_ca_topic_score_codex":0.000037426194,"about_ca_topic_score_gemma":0.00013301594,"teacher_disagreement_score":0.80676097,"about_ca_system_score_codex":0.00006679432,"about_ca_system_score_gemma":0.00006292016,"threshold_uncertainty_score":0.18895389},"labels":[],"label_agreement":null},{"id":"W3212859073","doi":"10.1016/j.ijpe.2021.108349","title":"Supply network design for mass personalization in Industry 4.0 era","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Mass customization; Profitability index; Supply chain; Modular design; Computer science; Production (economics); Realization (probability); Function (biology); Personalization; Modular programming; Product (mathematics); Supply chain network; Manufacturing engineering; Industrial engineering; Business; Supply chain management; Marketing; Economics; Microeconomics; Mathematics; Engineering","score_opus":0.024601690134961773,"score_gpt":0.23015933170422656,"score_spread":0.2055576415692648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212859073","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":[0.72266716,0.0004641347,0.20026344,0.04833992,0.026199084,0.00060224097,0.000005640622,0.00004997092,0.0014083843],"genre_scores_gemma":[0.9516937,0.0002137373,0.028381875,0.0016479394,0.016864663,0.00001626819,0.00010854977,0.00003424515,0.0010390163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990943,0.000013408332,0.00047482277,0.00017382369,0.000119047785,0.00012456729],"domain_scores_gemma":[0.99844164,0.0000234246,0.00051265047,0.000067809706,0.000945667,0.000008840131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000766202,0.00009085434,0.00013881575,0.00025296514,0.00005027748,0.0001981346,0.00017787241,0.00008405436,0.00013503936],"category_scores_gemma":[0.0004162176,0.00010073079,0.000060595627,0.00019291071,0.000014703749,0.0015513606,0.000028685658,0.0001711709,0.000011286364],"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":[0.0008343684,0.0002541813,0.12026348,0.00007418703,0.0003272697,0.000029546674,0.00025073203,0.76541424,0.0024737695,0.038172517,0.050620977,0.021284757],"study_design_scores_gemma":[0.009106103,0.00007355382,0.09177101,0.00071592786,0.00025262468,0.0004771603,0.002021224,0.09039955,0.021561591,0.25385243,0.52819645,0.001572366],"about_ca_topic_score_codex":0.0000033498545,"about_ca_topic_score_gemma":0.000013451021,"teacher_disagreement_score":0.6750147,"about_ca_system_score_codex":0.00017360403,"about_ca_system_score_gemma":0.00018500072,"threshold_uncertainty_score":0.41076824},"labels":[],"label_agreement":null},{"id":"W4200237159","doi":"10.1016/j.ijpe.2021.108383","title":"Integrated production-delivery control policy for an unreliable manufacturing system and multiple retailers","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Robustness (evolution); Computer science; Control (management); Impulse control; Operations research; Optimal control; Business; Industrial organization; Risk analysis (engineering); Economics; Mathematical optimization; Operations management; Microeconomics; Engineering; Mathematics","score_opus":0.02223765221023746,"score_gpt":0.2237241461188777,"score_spread":0.20148649390864024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200237159","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":[0.9784274,0.0000910994,0.0013239048,0.0090670455,0.009940027,0.00028245695,0.0000100726475,0.00004210126,0.00081589416],"genre_scores_gemma":[0.98978156,0.000091249065,0.0006678427,0.0006461977,0.008135559,0.000007941106,0.00003517448,0.00002177042,0.0006127055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899745,0.000014469411,0.00047472995,0.0002573651,0.00012092561,0.00013508505],"domain_scores_gemma":[0.99843717,0.00002396129,0.0005208302,0.00013797263,0.00085815106,0.000021947902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005464183,0.00012484464,0.00018746182,0.00041853182,0.00010593328,0.00031923046,0.00019084383,0.000038714654,0.000027195747],"category_scores_gemma":[0.00039447378,0.00012515318,0.000088384084,0.00007123255,0.00003594924,0.001938085,0.00004983467,0.000102069665,0.00000892243],"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":[0.0057780202,0.0019237221,0.05638197,0.0019755787,0.005727898,0.00012255798,0.0010532845,0.4616871,0.02876807,0.14217968,0.09340153,0.2010006],"study_design_scores_gemma":[0.0048218314,0.00009940289,0.0040554465,0.00036596027,0.0002600232,0.0004290361,0.00853933,0.067774884,0.022886964,0.005059176,0.8850712,0.000636729],"about_ca_topic_score_codex":0.000114666625,"about_ca_topic_score_gemma":0.00007066634,"teacher_disagreement_score":0.79166967,"about_ca_system_score_codex":0.0002905733,"about_ca_system_score_gemma":0.00008423551,"threshold_uncertainty_score":0.5103599},"labels":[],"label_agreement":null},{"id":"W4200441926","doi":"10.1016/j.ijpe.2021.108384","title":"Selecting online distribution modes for differentiated products in a platform supply chain","year":2021,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Computer science; Mode (computer interface); Product (mathematics); Supply chain; Matching (statistics); Distribution (mathematics); Selection (genetic algorithm); Commission; Substitution (logic); E-commerce; Business; Operations research; Industrial organization; Marketing; Mathematics; Statistics","score_opus":0.03646681822192229,"score_gpt":0.24530232704468802,"score_spread":0.20883550882276572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200441926","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":[0.9838598,0.000059768714,0.0017280341,0.010170914,0.0038044723,0.00018626593,0.000020288358,0.00001702962,0.0001534495],"genre_scores_gemma":[0.9932543,0.000093107235,0.0007689696,0.00037583627,0.004672403,0.0000087953795,0.000474638,0.000016471931,0.00033549007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989299,0.0000073225815,0.00056299195,0.00021607697,0.00013081974,0.00015284431],"domain_scores_gemma":[0.9984201,0.000019377672,0.0005316646,0.00009527178,0.0009236535,0.0000099409635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004715749,0.00011263562,0.00017412801,0.0002915628,0.000052178315,0.00019217828,0.00020358375,0.00003657115,0.00005221591],"category_scores_gemma":[0.0006050967,0.000117433185,0.000087844506,0.00017814545,0.000018269664,0.0012875873,0.00007350985,0.00012734153,0.0000051422503],"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":[0.0041118343,0.008048739,0.19128041,0.0012926027,0.002755844,0.00017151237,0.0011287602,0.17983216,0.040813327,0.26421145,0.067554206,0.23879915],"study_design_scores_gemma":[0.011344136,0.00016607389,0.084542945,0.0008286285,0.0003110681,0.0003789924,0.0065236273,0.2693251,0.05905067,0.06172818,0.50428945,0.0015111497],"about_ca_topic_score_codex":0.000025251116,"about_ca_topic_score_gemma":0.00015195251,"teacher_disagreement_score":0.4367352,"about_ca_system_score_codex":0.0002853808,"about_ca_system_score_gemma":0.000067505316,"threshold_uncertainty_score":0.47887862},"labels":[],"label_agreement":null},{"id":"W4206045369","doi":"10.1016/j.ijpe.2022.108417","title":"Dynamic optimal control and simulation for unreliable manufacturing systems under perishable product and shelf life variability","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic programming; Dynamic programming; Computer science; Control (management); Mathematical optimization; Product (mathematics); Optimal control; Operations research; Sensitivity (control systems); Stochastic control; Stochastic modelling; Inventory control; Control variable; Economics; Mathematics; Engineering","score_opus":0.013867172118477475,"score_gpt":0.22766654957074037,"score_spread":0.2137993774522629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206045369","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":[0.9763871,0.00018505557,0.010161004,0.005893346,0.00658121,0.000561455,0.000011854614,0.000019391797,0.00019960004],"genre_scores_gemma":[0.99734265,0.00003194351,0.00032872264,0.00046524138,0.0014912522,0.000031111915,0.000014280559,0.000015507947,0.00027926598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990755,0.000019351879,0.0004275536,0.0002306931,0.00013698397,0.00010996036],"domain_scores_gemma":[0.99909574,0.000054459786,0.00051675906,0.00009255508,0.00022409206,0.000016406411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013060962,0.00010009655,0.00016164698,0.00024142384,0.00018907357,0.00029267688,0.00015142882,0.00001674668,0.00007029458],"category_scores_gemma":[0.000193036,0.00010567317,0.00004924386,0.00003242639,0.00003103486,0.0011389515,0.000111783076,0.00010746501,0.000001402545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003450345,0.00006363782,0.0016220588,0.000065420565,0.00015806642,6.677019e-7,0.000037274596,0.99261856,0.000062744766,0.0028385264,0.0008751453,0.0013128733],"study_design_scores_gemma":[0.0021269505,0.000047622536,0.0042318087,0.000016954225,0.00008694587,0.000035926314,0.0010816605,0.8622623,0.000028816447,0.0033675907,0.12652634,0.00018706113],"about_ca_topic_score_codex":0.00003166239,"about_ca_topic_score_gemma":0.000002222399,"teacher_disagreement_score":0.13035622,"about_ca_system_score_codex":0.00021473624,"about_ca_system_score_gemma":0.00003073578,"threshold_uncertainty_score":0.4309227},"labels":[],"label_agreement":null},{"id":"W4207030359","doi":"10.1016/j.ijpe.2022.108429","title":"An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":199,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Blockchain; Traceability; Supply chain; Computer science; Transparency (behavior); Enabling; Supply chain management; Process management; Business; Marketing","score_opus":0.02289260499464067,"score_gpt":0.3164032334847813,"score_spread":0.2935106284901406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207030359","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":[0.9411659,0.000035409037,0.05165511,0.006518752,0.00027650758,0.00026109166,0.000007792964,0.00002111927,0.00005829932],"genre_scores_gemma":[0.98755425,0.000014088946,0.012065106,0.00004824625,0.00016596516,0.000066434804,0.0000036661902,0.000006866293,0.00007535369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894845,0.000058420977,0.0004455947,0.00022388791,0.00016628845,0.00015733289],"domain_scores_gemma":[0.9983287,0.00005488699,0.0005903724,0.00039515502,0.0006033761,0.000027496375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002090376,0.00008745675,0.00015763481,0.00052430324,0.0002408733,0.00003652404,0.0015992625,0.000047286507,0.000010053879],"category_scores_gemma":[0.00015015314,0.00006976183,0.00011845201,0.00028855272,0.000100039564,0.0001692638,0.00018313069,0.00032921834,3.1311168e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016744899,0.00046663525,0.0017697249,0.0000048106294,0.00015054847,8.0678655e-7,0.00031936404,0.69430774,0.00044891366,0.27241132,0.00024601826,0.029706687],"study_design_scores_gemma":[0.00039377648,0.0017720851,0.0008198733,0.0000026903544,0.000009598911,0.00031904771,0.000715193,0.9696163,0.0022923176,0.023580452,0.00039627278,0.00008242409],"about_ca_topic_score_codex":0.000008422884,"about_ca_topic_score_gemma":3.1382731e-7,"teacher_disagreement_score":0.27530855,"about_ca_system_score_codex":0.0003705021,"about_ca_system_score_gemma":0.00024598077,"threshold_uncertainty_score":0.29718542},"labels":[],"label_agreement":null},{"id":"W4211196923","doi":"10.1016/j.ijpe.2022.108440","title":"Integrated production-transshipment control policy for a two-location unreliable manufacturing system","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transshipment (information security); Computer science; Robustness (evolution); Economic shortage; Production (economics); Operations research; Mathematical optimization; Operations management; Reliability engineering; Economics; Microeconomics; Engineering; Mathematics","score_opus":0.016076866829348103,"score_gpt":0.228739274220833,"score_spread":0.2126624073914849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211196923","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":[0.870091,0.00013975664,0.018956704,0.05550799,0.050678693,0.0016868322,0.000028716944,0.00015281838,0.002757479],"genre_scores_gemma":[0.9886611,0.000011172734,0.00032651506,0.0009210565,0.009026802,0.00010290056,0.00004522415,0.000026967798,0.0008782624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986628,0.000021505806,0.0006485544,0.00024799444,0.00025140852,0.00016770116],"domain_scores_gemma":[0.9983378,0.000019223746,0.0008471636,0.000147114,0.0006327363,0.000015943771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175609,0.00014058541,0.0001892394,0.00082194415,0.00024512562,0.0002045946,0.00041827702,0.000018979314,0.00011274674],"category_scores_gemma":[0.00016699094,0.00014676724,0.00013164183,0.00015520061,0.000025507323,0.0011221551,0.000068162335,0.00015914759,0.00001700048],"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":[0.0012692879,0.0004162548,0.0010963263,0.00022916551,0.0007897769,0.000007026513,0.00022493073,0.8731923,0.0016221716,0.0782406,0.024604166,0.018307967],"study_design_scores_gemma":[0.0038837641,0.00009897143,0.0006070676,0.00012339972,0.00017787814,0.00019417294,0.005060525,0.027191896,0.0060667098,0.005403602,0.9507677,0.00042429465],"about_ca_topic_score_codex":0.00016454236,"about_ca_topic_score_gemma":0.000019764591,"teacher_disagreement_score":0.92616355,"about_ca_system_score_codex":0.0012058347,"about_ca_system_score_gemma":0.00012300113,"threshold_uncertainty_score":0.5984994},"labels":[],"label_agreement":null},{"id":"W4235158319","doi":"10.1016/j.ijpe.2009.12.001","title":"","year":2009,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","score_opus":0.016535551914851503,"score_gpt":0.27623878025862103,"score_spread":0.2597032283437695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235158319","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":[0.9443667,0.0000990109,0.0008187689,0.04467614,0.00965423,0.0001247771,0.00001269003,0.000047612357,0.00020006513],"genre_scores_gemma":[0.98555756,0.0002984964,0.0057692975,0.0009997836,0.0072485055,0.0000012067895,0.0000072124535,0.00003432729,0.00008359507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99694717,0.00009437053,0.001842978,0.00034605458,0.00048119793,0.00028824533],"domain_scores_gemma":[0.9938177,0.000045676596,0.0027743243,0.00029823108,0.0028543088,0.0002097515],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002029142,0.00024715162,0.00039891255,0.0011187444,0.00008615646,0.0002529089,0.0012502611,0.00007706772,0.00003763245],"category_scores_gemma":[0.0011771977,0.00025429786,0.00035097112,0.00017297089,0.00009707506,0.004243311,0.00004245835,0.00042339604,0.00007116897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008303589,0.0027067186,0.030588228,0.000004355972,0.0018257726,0.00019963454,0.0031093208,0.43699777,0.26929462,0.026567703,0.008589485,0.21181278],"study_design_scores_gemma":[0.009126362,0.002239699,0.35423252,0.00018641358,0.00020900174,0.031735826,0.0017810151,0.0017000857,0.38910034,0.14712645,0.0613092,0.0012530958],"about_ca_topic_score_codex":0.0000063370835,"about_ca_topic_score_gemma":0.00001469149,"teacher_disagreement_score":0.4352977,"about_ca_system_score_codex":0.001201755,"about_ca_system_score_gemma":0.00025448832,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W4252202615","doi":"10.1016/j.ijpe.2016.06.026","title":"Production and setup policy optimization for hybrid manufacturing–remanufacturing systems","year":2016,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Remanufacturing; Production (economics); Computer science; Production planning; Robustness (evolution); Hamilton–Jacobi–Bellman equation; Mathematical optimization; Schedule; Holding cost; Manufacturing engineering; Economics; Optimal control; Mathematics; Engineering; Microeconomics","score_opus":0.01117718428424625,"score_gpt":0.21951929411547352,"score_spread":0.20834210983122728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252202615","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":[0.877675,0.000079121135,0.061456267,0.046932288,0.0127046,0.00073928654,0.000008632859,0.00006306666,0.00034174664],"genre_scores_gemma":[0.9834554,0.00022004344,0.0011509273,0.00022923604,0.013893389,0.000019810403,0.00000880556,0.000031500113,0.0009908793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988724,0.000009326055,0.00051955396,0.00026593244,0.00015906527,0.0001737144],"domain_scores_gemma":[0.9983464,0.00002968126,0.0008555887,0.00013850797,0.00061249797,0.000017319664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007116035,0.00014473121,0.00017057396,0.0008543174,0.00009694937,0.0003235233,0.00023845906,0.000031271873,0.000029773713],"category_scores_gemma":[0.00066471176,0.00011836089,0.000072141345,0.000046936086,0.000044353492,0.0026264268,0.00009698185,0.000059988735,0.0000080851905],"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":[0.0006148522,0.00014062738,0.002107907,0.00036679787,0.0005572191,0.000012290341,0.00008514568,0.887278,0.0005857084,0.014822807,0.011642234,0.0817864],"study_design_scores_gemma":[0.005795739,0.00017137105,0.006110637,0.0009792309,0.00039293672,0.0011762109,0.0026383644,0.050144006,0.05061916,0.043644346,0.83668816,0.0016398237],"about_ca_topic_score_codex":0.000044099284,"about_ca_topic_score_gemma":0.000005037248,"teacher_disagreement_score":0.837134,"about_ca_system_score_codex":0.00043994276,"about_ca_system_score_gemma":0.00004574409,"threshold_uncertainty_score":0.4826617},"labels":[],"label_agreement":null},{"id":"W426377597","doi":"10.1016/j.ijpe.2015.05.025","title":"Sustainable supply chain management in emerging economies: Environmental turbulence, institutional voids and sustainability trajectories","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":520,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Supply chain; Sustainability; Industrial organization; Supply chain management; Business; Service management; Supply chain risk management; Empirical research; Empirical evidence; Demand chain; Sustainable development; Emerging markets; Economics; Marketing; Ecology","score_opus":0.008558092848017214,"score_gpt":0.21481186152925968,"score_spread":0.20625376868124248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W426377597","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":[0.9857927,0.0002469383,0.0004078287,0.00856102,0.0024375229,0.00044232848,0.0000028102647,0.000022050135,0.002086831],"genre_scores_gemma":[0.99562174,0.00025598248,0.00048412656,0.00032509398,0.0018199736,0.000025293763,0.000018307523,0.000020229725,0.0014292788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832904,0.000022306425,0.00072578224,0.00034539355,0.00025777624,0.00031968555],"domain_scores_gemma":[0.99885845,0.000020850148,0.00050747214,0.00016774978,0.00040623968,0.00003925094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016808602,0.000204388,0.00024339186,0.0011850771,0.00010250222,0.00032991436,0.00040849647,0.000051251714,0.00006467051],"category_scores_gemma":[0.00029679562,0.00022364306,0.00007537221,0.00017899461,0.00017430588,0.0034899856,0.00036312756,0.00018910119,0.000011073894],"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":[0.0013084784,0.00084148627,0.27528784,0.0005124463,0.00065721775,0.0006466135,0.002335241,0.37091228,0.000010453268,0.30253854,0.0055400343,0.03940936],"study_design_scores_gemma":[0.0052685076,0.000095892225,0.06931018,0.000086648,0.00011664116,0.00022798307,0.14632106,0.012548532,0.000097880686,0.18850988,0.57654697,0.00086985354],"about_ca_topic_score_codex":0.00025240035,"about_ca_topic_score_gemma":0.000049934988,"teacher_disagreement_score":0.5710069,"about_ca_system_score_codex":0.0021522823,"about_ca_system_score_gemma":0.00015405047,"threshold_uncertainty_score":0.9119899},"labels":[],"label_agreement":null},{"id":"W4282982572","doi":"10.1016/j.ijpe.2022.108550","title":"Capacitated assortment planning of a multi-location system under transshipments","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transshipment (information security); Computer science; Product (mathematics); Mathematical optimization; Set (abstract data type); Location model; Substitution (logic); Limit (mathematics); Operations research; Mathematics","score_opus":0.04969967603812313,"score_gpt":0.25005980420691354,"score_spread":0.2003601281687904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282982572","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":[0.9822005,0.000096930766,0.0044901203,0.0023628366,0.009476871,0.0002080837,0.0000061709666,0.000024238054,0.001134261],"genre_scores_gemma":[0.99827033,0.000007780705,0.0002607217,0.0003063585,0.00089267263,0.000011584457,0.00002394159,0.000013166732,0.00021344548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989357,0.000019053552,0.0005732479,0.0001305553,0.00025400126,0.00008747016],"domain_scores_gemma":[0.99857587,0.000008734891,0.0009411517,0.00008758872,0.00037772945,0.000008957296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007168834,0.00008528766,0.00013994217,0.0004898854,0.00008593231,0.000060810802,0.00029682223,0.000015424408,0.00012859252],"category_scores_gemma":[0.000031535877,0.00009205653,0.00008087865,0.000120296696,0.000021065453,0.00070928596,0.00006980432,0.00011356579,0.00000849611],"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":[0.0003333742,0.0005321061,0.00884209,0.00011975665,0.0007249581,0.000013018229,0.0005779764,0.9558336,0.0015547796,0.025003955,0.0033175903,0.00314678],"study_design_scores_gemma":[0.018135859,0.0005358878,0.078559324,0.0009504219,0.0009387167,0.00068248675,0.10201961,0.3367552,0.011475784,0.008854419,0.43910465,0.0019876666],"about_ca_topic_score_codex":0.00003897685,"about_ca_topic_score_gemma":0.0000041784892,"teacher_disagreement_score":0.61907846,"about_ca_system_score_codex":0.00049681606,"about_ca_system_score_gemma":0.00003587459,"threshold_uncertainty_score":0.37539563},"labels":[],"label_agreement":null},{"id":"W4284972843","doi":"10.1016/j.ijpe.2022.108560","title":"Resource reallocation for improving sustainable supply chain performance: An inverse data envelopment analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Data envelopment analysis; Computer science; Supply chain; Supply chain network; Profit (economics); Supply chain management; Sustainability; Operations research; Mathematical optimization; Economics; Business; Microeconomics; Mathematics","score_opus":0.07067903869104446,"score_gpt":0.34714335213665276,"score_spread":0.2764643134456083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284972843","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":[0.9731068,0.000038321006,0.018011685,0.0068770726,0.0015931341,0.00018260846,0.000054581156,0.000011628974,0.00012418345],"genre_scores_gemma":[0.99071956,0.000035384215,0.0053466256,0.00023693447,0.00070798025,0.00001168558,0.0002091301,0.000012343527,0.0027203525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99678427,0.00020762475,0.001298737,0.00056290516,0.00094302633,0.00020340724],"domain_scores_gemma":[0.9956013,0.00019157564,0.0017770337,0.00080724433,0.0015371349,0.000085727974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014276993,0.000115211486,0.0002865711,0.0019727729,0.0004447859,0.0003445591,0.002569449,0.000030524458,0.00019655473],"category_scores_gemma":[0.0022229133,0.000112078975,0.00017235808,0.00086683274,0.000059286132,0.0019873444,0.00052934414,0.00020819288,0.000004949973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032714888,0.00021061875,0.0089638205,0.0000038526296,0.0004660183,0.000004010957,0.0012297385,0.925835,0.00027387418,0.0009111742,0.004504352,0.057270348],"study_design_scores_gemma":[0.000622969,0.00026410905,0.006048645,0.0000032792427,0.00034405928,0.00011890492,0.013314846,0.75410056,0.0009154385,0.002449517,0.22157621,0.00024145811],"about_ca_topic_score_codex":0.00005969276,"about_ca_topic_score_gemma":0.00007095902,"teacher_disagreement_score":0.21707188,"about_ca_system_score_codex":0.0008640588,"about_ca_system_score_gemma":0.0005081983,"threshold_uncertainty_score":0.49481493},"labels":[],"label_agreement":null},{"id":"W4284993186","doi":"10.1016/j.ijpe.2022.108557","title":"A model for advanced planning systems dedicated to the Engineer-To-Order context","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scheduling (production processes); Build to order; Production planning; Concurrent engineering; Context (archaeology); Industrial engineering; Order fulfillment; Integrated business planning; Operations research; Order (exchange); Production (economics); Operations management; Supply chain; Engineering","score_opus":0.12310637010103455,"score_gpt":0.37843897762668915,"score_spread":0.2553326075256546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284993186","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":[0.58441204,0.00011987659,0.37925276,0.02825822,0.007298533,0.00048296238,0.00006310278,0.000012826299,0.000099700956],"genre_scores_gemma":[0.97764367,0.000004621754,0.019286703,0.0009784779,0.0010424064,0.00007652872,0.0000037081138,0.000017235896,0.0009466702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978175,0.00008220983,0.001010856,0.00028949734,0.00063742313,0.00016251317],"domain_scores_gemma":[0.9971818,0.0004147126,0.00074055255,0.00023831906,0.0013158438,0.0001088048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004203428,0.00010706393,0.00022113195,0.00063874834,0.00019982329,0.00024903956,0.0013330363,0.000023587167,0.00004194205],"category_scores_gemma":[0.004402264,0.00008287854,0.000120262026,0.00028599484,0.00002284715,0.00032442817,0.00016570094,0.0002455044,0.000017980328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031886427,0.000022008455,0.00016004371,8.283322e-7,0.00007361476,0.0000014953181,0.0024150813,0.97591525,0.00052325515,0.0009343578,0.0031814205,0.016453777],"study_design_scores_gemma":[0.0006724375,0.00016377759,0.00007942298,0.000021222953,0.000013505514,0.00047404633,0.008881389,0.8396714,0.00046697183,0.0016806924,0.14771833,0.00015681074],"about_ca_topic_score_codex":0.000004168125,"about_ca_topic_score_gemma":0.0000044572093,"teacher_disagreement_score":0.39323163,"about_ca_system_score_codex":0.00032604617,"about_ca_system_score_gemma":0.00027109208,"threshold_uncertainty_score":0.5270239},"labels":[],"label_agreement":null},{"id":"W4285030167","doi":"10.1016/j.ijpe.2022.108559","title":"Cooperation among suppliers of complementary products in repeated interactions","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Wilfrid Laurier University","funders":"","keywords":"Business; Supply chain; Subgame perfect equilibrium; Repentance; Nash equilibrium; Industrial organization; Microeconomics; Marketing; Economics","score_opus":0.02526187044422635,"score_gpt":0.2349659833764438,"score_spread":0.20970411293221747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285030167","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":[0.9835929,0.00001648714,0.000087371445,0.0076174336,0.006908496,0.00019725872,0.00000684615,0.000009770472,0.0015634256],"genre_scores_gemma":[0.9975278,0.00002061362,0.00019586954,0.00044354057,0.0013797524,0.000012722852,0.00008472231,0.000011909412,0.00032309542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998852,0.000021992038,0.0006901795,0.00016053874,0.00018503661,0.00009023502],"domain_scores_gemma":[0.99866486,0.00001089176,0.0008146936,0.0001149718,0.00038757664,0.0000070275314],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007473924,0.00008228804,0.0001438594,0.00080171524,0.00007301384,0.000061850275,0.00031393187,0.000009705607,0.0009451],"category_scores_gemma":[0.00010214973,0.00009322628,0.000060368802,0.00021377862,0.000039595463,0.0013713497,0.00016558928,0.00017294026,0.0000063516222],"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":[0.0014326972,0.0019699386,0.24605145,0.00012758857,0.0008250907,0.00005009756,0.0013213657,0.57812595,0.009338303,0.042468213,0.101072006,0.017217286],"study_design_scores_gemma":[0.0034673861,0.0001395013,0.046910223,0.00008928974,0.0001093488,0.00012975192,0.008778507,0.022172576,0.006473147,0.0046154396,0.9066097,0.00050513423],"about_ca_topic_score_codex":0.0002082645,"about_ca_topic_score_gemma":0.00016022085,"teacher_disagreement_score":0.8055377,"about_ca_system_score_codex":0.0003365444,"about_ca_system_score_gemma":0.00003970454,"threshold_uncertainty_score":0.9999682},"labels":[],"label_agreement":null},{"id":"W4287448967","doi":"10.1016/j.ijpe.2022.108579","title":"Estimating optimal ABC zone sizes in manual warehouses","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; TKI DINALOG; Compute Canada","keywords":"Computer science; Sizing; Block (permutation group theory); Mathematical optimization; Routing (electronic design automation); Data mining; Mathematics","score_opus":0.010329883679916458,"score_gpt":0.2365990200996758,"score_spread":0.22626913641975932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287448967","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":[0.7796386,0.00010546481,0.21120939,0.000556665,0.008175196,0.000057276222,0.0000126979185,0.000050906594,0.00019381286],"genre_scores_gemma":[0.9391072,0.000091831105,0.059961338,0.000023058097,0.00070508145,0.0000047844155,0.00000697544,0.000017793942,0.00008194247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993326,0.0000144746555,0.00037783777,0.00008758779,0.00010179776,0.0000856686],"domain_scores_gemma":[0.9996481,0.000028557006,0.00016940662,0.00005991316,0.00007125815,0.000022790839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000229465,0.000072012444,0.00010806231,0.0002356261,0.000045416946,0.000027853228,0.00018388753,0.000016062642,0.00006609804],"category_scores_gemma":[0.00008638757,0.0000856605,0.00003659748,0.000039407416,0.0000170583,0.00029939995,0.00004155347,0.00022319413,0.0000024152778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003473778,0.000024822972,0.00019661864,0.0000039885235,0.000034788627,0.000009416304,0.00021338032,0.99054563,0.00008268256,0.00019481484,0.0001647965,0.008494336],"study_design_scores_gemma":[0.0010646696,0.00013216544,0.0014271716,0.000031577638,0.00001843137,0.0008961162,0.0007585751,0.9708525,0.0064834272,0.0030196488,0.014976203,0.0003395199],"about_ca_topic_score_codex":0.000003644061,"about_ca_topic_score_gemma":0.0000037969235,"teacher_disagreement_score":0.1594686,"about_ca_system_score_codex":0.0004012869,"about_ca_system_score_gemma":0.000027109687,"threshold_uncertainty_score":0.34931335},"labels":[],"label_agreement":null},{"id":"W4289932107","doi":"10.1016/j.ijpe.2022.108595","title":"Inventory decisions for ameliorating products under consideration of stochastic demand","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Time horizon; Competitor analysis; Profit (economics); Quality (philosophy); Computer science; Operations research; Product (mathematics); Context (archaeology); Lead time; Business; Operations management; Risk analysis (engineering); Environmental economics; Economics; Microeconomics; Marketing; Mathematics","score_opus":0.04976603260025645,"score_gpt":0.25864372411451414,"score_spread":0.2088776915142577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289932107","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":[0.9527518,0.00013559198,0.021427356,0.011834257,0.012861434,0.00048164817,0.000010291553,0.000017916333,0.0004796627],"genre_scores_gemma":[0.9949801,0.000009049615,0.00079598144,0.0009596363,0.0029488753,0.000022650644,0.000022338008,0.000016303746,0.00024506115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988736,0.000016335356,0.0006286975,0.00016473468,0.00022333472,0.000093335846],"domain_scores_gemma":[0.9976064,0.0000492747,0.0014133257,0.00011118165,0.00081047043,0.000009330024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010245055,0.00008772767,0.00015770768,0.000531206,0.0001549786,0.000094668816,0.0002605632,0.000015943724,0.00014830825],"category_scores_gemma":[0.0008217958,0.00009471322,0.00009434764,0.000113919705,0.000039911392,0.0008919015,0.0001341268,0.00010544148,0.0000043379673],"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":[0.0004978204,0.00041534248,0.0013847261,0.000053661908,0.00040231826,0.0000033492345,0.00024534413,0.8441248,0.0023713796,0.10301737,0.040853683,0.0066301893],"study_design_scores_gemma":[0.007954331,0.00044486712,0.0045689405,0.00027940224,0.0005684006,0.0003188728,0.015797457,0.13637796,0.005413976,0.31614286,0.510935,0.0011979194],"about_ca_topic_score_codex":0.000009742504,"about_ca_topic_score_gemma":0.000011173546,"teacher_disagreement_score":0.70774686,"about_ca_system_score_codex":0.00018672156,"about_ca_system_score_gemma":0.000077008735,"threshold_uncertainty_score":0.3862293},"labels":[],"label_agreement":null},{"id":"W4308805987","doi":"10.1016/j.ijpe.2022.108718","title":"The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries","year":2022,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Compagnia di San Paolo; Ewing Marion Kauffman Foundation","keywords":"Digitization; Automotive industry; Intuition; Computer science; GRASP; Survey data collection; Emerging technologies; Process (computing); Industry 4.0; Information technology; Business; Process management; Industrial organization; Knowledge management; Engineering; Telecommunications; Data mining","score_opus":0.04740872568739863,"score_gpt":0.28809990096623656,"score_spread":0.24069117527883793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308805987","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":[0.9913224,0.00012548159,0.002207993,0.001419799,0.0031901032,0.00011267861,0.0012201997,0.000012240758,0.0003890902],"genre_scores_gemma":[0.99949104,0.00010199964,0.00013706903,0.000018252167,0.00016748518,0.0000020862608,0.00003119956,0.000011574286,0.00003931406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99907744,0.00004098037,0.0005337537,0.000098229335,0.00018067687,0.00006892744],"domain_scores_gemma":[0.9989271,0.00029305695,0.00030525142,0.0001694839,0.0002791737,0.000025941938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006086462,0.00007980794,0.000117108626,0.00009842725,0.00012657474,0.00016525235,0.0005760615,0.000030535077,0.000012877203],"category_scores_gemma":[0.00057333376,0.00006171688,0.000023252473,0.0001118988,0.000114585084,0.0009994352,0.0002578573,0.0002466322,3.9722806e-7],"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":[0.00016712652,0.0000629325,0.31258652,0.000026188982,0.0012820765,0.0000028112338,0.002215386,0.346108,0.00001436342,0.0017299557,0.016950214,0.31885445],"study_design_scores_gemma":[0.0009785554,0.00013723483,0.9063478,0.00030406157,0.00007701524,0.0009532767,0.0035657838,0.022560585,0.00081853336,0.00563849,0.058197234,0.0004214065],"about_ca_topic_score_codex":0.000004991003,"about_ca_topic_score_gemma":0.00002675879,"teacher_disagreement_score":0.5937613,"about_ca_system_score_codex":0.00013057723,"about_ca_system_score_gemma":0.000077955054,"threshold_uncertainty_score":0.25167412},"labels":[],"label_agreement":null},{"id":"W4313830771","doi":"10.1016/j.ijpe.2023.108772","title":"Integrate exergy costs and carbon reduction policy in order to optimize the sustainability development of coal supply chains in uncertain conditions","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Process Optimization and Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Exergy; Sustainability; Supply chain; Carbon tax; Environmental economics; Coal; Carbon footprint; Economic order quantity; Exergy efficiency; Economics; Environmental science; Greenhouse gas; Business; Process engineering; Waste management; Engineering","score_opus":0.01027728804927472,"score_gpt":0.26959217276673614,"score_spread":0.2593148847174614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313830771","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":[0.98870575,0.00002753392,0.002617698,0.007332962,0.0009343788,0.00019240621,0.000007887864,0.00001860148,0.00016279431],"genre_scores_gemma":[0.9979179,0.00041807443,0.0013069698,0.000027549706,0.00017513387,0.000023017401,0.000023315824,0.000011105827,0.000096942545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990564,0.000031187825,0.000597294,0.00011363506,0.000093711395,0.00010775233],"domain_scores_gemma":[0.99906754,0.000024620946,0.00014540192,0.00007140862,0.0006543355,0.00003669733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005367161,0.00008965514,0.0001416118,0.00080645893,0.000024123803,0.00003092598,0.00014059129,0.000043376385,0.000008077325],"category_scores_gemma":[0.00053542183,0.000080694634,0.000018612047,0.0005366301,0.000042145726,0.0002773464,0.000024541256,0.00015355257,9.550027e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059652226,0.00003272781,0.0015395314,0.000012325772,0.00003064567,0.0000010295423,0.0025469547,0.98612285,0.0006097421,0.0012128188,0.00015470687,0.007677045],"study_design_scores_gemma":[0.002645837,0.00016597305,0.08532643,0.000406137,0.000020596115,0.0002591093,0.022525514,0.8278832,0.049268637,0.0060598864,0.004826066,0.00061263517],"about_ca_topic_score_codex":0.00011169662,"about_ca_topic_score_gemma":0.0004199475,"teacher_disagreement_score":0.15823965,"about_ca_system_score_codex":0.0010897398,"about_ca_system_score_gemma":0.0003553129,"threshold_uncertainty_score":0.32906318},"labels":[],"label_agreement":null},{"id":"W4319224824","doi":"10.1016/j.ijpe.2023.108797","title":"Examining energy eco-efficiency in China's logistics industry","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"China; Sustainability; Environmental economics; Greenhouse gas; Quality (philosophy); Business; Projection (relational algebra); Efficient energy use; Natural resource economics; Environmental science; Computer science; Economics","score_opus":0.04587433080000253,"score_gpt":0.23677210272230145,"score_spread":0.19089777192229893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319224824","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":[0.9783426,0.00019249547,0.0026494735,0.0029754324,0.0069498406,0.000052107658,0.000041250914,0.000025319208,0.008771485],"genre_scores_gemma":[0.9950134,0.0015047382,0.00046846824,0.00016583438,0.0012583686,0.0000062205404,0.000017855467,0.000033528668,0.0015315651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99788725,0.000021610895,0.0013941964,0.0003862489,0.000052113934,0.00025859376],"domain_scores_gemma":[0.99826336,0.000046719633,0.0013223346,0.0002372766,0.000045849527,0.00008446973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012652894,0.00016276991,0.00036273614,0.0011504581,0.000042400276,0.000083461244,0.00057564874,0.00018497417,0.0002467417],"category_scores_gemma":[0.00041628152,0.00021044863,0.00010426707,0.0002109763,0.00008403953,0.00060533633,0.00011764873,0.00040198746,0.00019593048],"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":[0.00007267188,0.0003225993,0.2384964,0.000010570056,0.00025967025,0.000062143416,0.00053147844,0.52333254,0.00016067944,0.22410728,0.0030981419,0.009545865],"study_design_scores_gemma":[0.0030345416,0.0003256148,0.5865227,0.00010586601,0.000019574756,0.0004984117,0.0009296088,0.031523265,0.002684948,0.22256692,0.15062964,0.0011589197],"about_ca_topic_score_codex":0.000077240555,"about_ca_topic_score_gemma":0.000032416356,"teacher_disagreement_score":0.49180925,"about_ca_system_score_codex":0.00069774466,"about_ca_system_score_gemma":0.00005573868,"threshold_uncertainty_score":0.85818464},"labels":[],"label_agreement":null},{"id":"W4321229676","doi":"10.1016/j.ijpe.2023.108814","title":"Does the bullwhip matter economically? A cross-sectional firm-level analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Bristol; University of Exeter","keywords":"Profitability index; Bullwhip effect; Endogeneity; Economics; Business; Outsourcing; Matching (statistics); Production (economics); Panel data; Econometrics; Microeconomics; Industrial organization; Supply chain; Monetary economics; Finance; Supply chain management; Marketing","score_opus":0.03933746428364018,"score_gpt":0.2670425641648894,"score_spread":0.22770509988124923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321229676","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":[0.9577325,0.0000091762995,0.00027125466,0.026716113,0.012459374,0.00010662138,0.000011868543,0.000033272252,0.0026597965],"genre_scores_gemma":[0.98278975,0.000053785963,0.000079415215,0.0024802322,0.008670796,0.000009570464,0.000042168605,0.000017955641,0.00585635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987201,0.0000120446775,0.0006717625,0.00023742262,0.00019904296,0.00015964574],"domain_scores_gemma":[0.9986106,0.000040153922,0.00070630806,0.00019625171,0.0004320059,0.000014635783],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010341501,0.00012607583,0.0001713607,0.0008993274,0.00013452569,0.00067096576,0.00064051,0.0000419843,0.0022161275],"category_scores_gemma":[0.00011737914,0.000080142636,0.0003175491,0.0003156622,0.000082811785,0.00129611,0.00017225166,0.00015201436,0.0012216173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012298337,0.000070212336,0.88621575,0.000013302124,0.0017038371,0.0000061101946,0.000052661857,0.06294193,0.000040689614,0.0056753447,0.041719127,0.001438065],"study_design_scores_gemma":[0.00030902328,0.0000048738957,0.7280708,0.0000054428247,0.000108006665,0.000012884113,0.00014654058,0.005567495,0.000052671367,0.007010116,0.25857952,0.00013259373],"about_ca_topic_score_codex":0.0000548037,"about_ca_topic_score_gemma":0.000063098574,"teacher_disagreement_score":0.21686041,"about_ca_system_score_codex":0.00016164887,"about_ca_system_score_gemma":0.00002671908,"threshold_uncertainty_score":0.99955606},"labels":[],"label_agreement":null},{"id":"W4362603748","doi":"10.1016/j.ijpe.2023.108863","title":"The strategic impact of vertical integration on non-deceptive counterfeiting","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Counterfeit; Vertical integration; Imitation; Business; Quality (philosophy); Product (mathematics); Brand management; Industrial organization; Marketing; Profit (economics); Brand equity; Bandwagon effect; Advertising; Microeconomics; Economics","score_opus":0.0387888813368616,"score_gpt":0.2983990957274585,"score_spread":0.2596102143905969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362603748","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":[0.9930499,0.00000849842,0.00006591058,0.0014192415,0.002873981,0.00006078172,0.0000019880038,0.000010891191,0.0025087863],"genre_scores_gemma":[0.9980963,0.00008335631,0.000013513806,0.000045668174,0.0016813648,0.0000016427791,0.000006989278,0.000009754869,0.00006140116],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99920404,0.000010041458,0.0004394633,0.00009729442,0.00014970831,0.000099463345],"domain_scores_gemma":[0.9988241,0.000093796254,0.00040485847,0.00008490308,0.00058386417,0.000008461167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007791322,0.000082875755,0.00011406132,0.0002965161,0.0000784644,0.00019099245,0.00024007322,0.000025905763,0.000053375974],"category_scores_gemma":[0.00019575006,0.00005880569,0.0001430149,0.00013946962,0.00004755501,0.0006546533,0.00004160558,0.00015302534,0.000049888044],"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":[0.0064119105,0.0006897675,0.21142562,0.000073203824,0.0022052522,0.00005562539,0.0011604779,0.06987987,0.044082884,0.07198568,0.017639818,0.5743899],"study_design_scores_gemma":[0.0033974315,0.0005045965,0.83457476,0.00069174013,0.00036201015,0.00018093071,0.009295539,0.089983374,0.010074889,0.03950574,0.010571462,0.0008575458],"about_ca_topic_score_codex":0.000063772626,"about_ca_topic_score_gemma":0.00003287828,"teacher_disagreement_score":0.6231491,"about_ca_system_score_codex":0.00011626595,"about_ca_system_score_gemma":0.000060796614,"threshold_uncertainty_score":0.23980264},"labels":[],"label_agreement":null},{"id":"W4365452722","doi":"10.1016/j.ijpe.2023.108874","title":"Who should finance the supply chain? Impact of accounts receivable mortgage on supply chain decision","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Accounts receivable; Solvency; Supply chain; Trade credit; Business; Loan; Finance; Capital (architecture); Monetary economics; Economics; Market liquidity; Marketing","score_opus":0.038300828001758075,"score_gpt":0.28592452832295706,"score_spread":0.247623700321199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365452722","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":[0.98133767,0.000048004196,0.0000960625,0.010072114,0.0058284313,0.00023912283,0.000017468186,0.00002641324,0.0023347174],"genre_scores_gemma":[0.99255145,0.0008390204,0.00006394891,0.00093827886,0.0040108627,0.0000089641635,0.000026751526,0.000030650324,0.0015300821],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983776,0.000018891353,0.0007316384,0.00025071527,0.00040205522,0.00021909324],"domain_scores_gemma":[0.9980878,0.00008119659,0.0010071875,0.00029832177,0.00051026535,0.000015203046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001597628,0.00018539726,0.0002619509,0.0007880454,0.00011323573,0.00022743008,0.0007828456,0.000055643734,0.00036826605],"category_scores_gemma":[0.000398084,0.00013964013,0.00027492136,0.00034252804,0.0000677511,0.0013508068,0.00017279436,0.00023461076,0.00016868488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015653255,0.00047526314,0.06589991,0.00006299667,0.0008583431,0.00004228094,0.00048233639,0.39756042,0.0006786095,0.02426989,0.43100247,0.07710216],"study_design_scores_gemma":[0.0033040994,0.0003469336,0.3495505,0.0007167888,0.00013466236,0.000084315536,0.0013998477,0.059201874,0.0023479897,0.035992227,0.5461456,0.00077517994],"about_ca_topic_score_codex":0.00013138409,"about_ca_topic_score_gemma":0.00003481873,"teacher_disagreement_score":0.33835852,"about_ca_system_score_codex":0.00027670068,"about_ca_system_score_gemma":0.00006188174,"threshold_uncertainty_score":0.56943595},"labels":[],"label_agreement":null},{"id":"W4377141492","doi":"10.1016/j.ijpe.2023.108927","title":"Closing the loop in a duopolistic circular economy model","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Closing (real estate); Circular economy; Industrial organization; Production (economics); Business; Economics; Microeconomics; Finance","score_opus":0.023127940997245144,"score_gpt":0.24236525403901368,"score_spread":0.21923731304176855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377141492","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":[0.94671214,0.000045961344,0.0018624583,0.04212371,0.003894267,0.00022541746,0.0000011161885,0.000037852024,0.005097114],"genre_scores_gemma":[0.99445426,0.00006225305,0.0001017667,0.0013404181,0.0033839785,0.000008616986,0.000007472543,0.000019683303,0.00062153797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906176,0.00000937301,0.00048332423,0.00016087241,0.0001179872,0.00016669164],"domain_scores_gemma":[0.99900836,0.000028994657,0.0004642451,0.00014457457,0.00034591675,0.000007913568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011344457,0.00009665182,0.0001275059,0.0008548488,0.00006321301,0.00030476297,0.00047803987,0.000026159028,0.000041202682],"category_scores_gemma":[0.0003003123,0.00008652062,0.00008608885,0.0002474359,0.000043463315,0.0014088523,0.0001516601,0.00015300124,0.00010170855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045392357,0.000044096843,0.0038599814,0.000039405793,0.00010048961,0.00003261458,0.00012301606,0.93739444,0.00003140109,0.046383478,0.007668531,0.0042771534],"study_design_scores_gemma":[0.0007508314,0.000005912618,0.0031107464,0.000043990916,0.000041048646,0.00004462061,0.0025303352,0.65967524,0.000060725393,0.20822674,0.12530066,0.00020916176],"about_ca_topic_score_codex":0.00005147826,"about_ca_topic_score_gemma":0.000017216267,"teacher_disagreement_score":0.27771923,"about_ca_system_score_codex":0.00033298804,"about_ca_system_score_gemma":0.00006411397,"threshold_uncertainty_score":0.35282084},"labels":[],"label_agreement":null},{"id":"W4377695054","doi":"10.1016/j.ijpe.2023.108917","title":"Probabilistic product design with regret-anticipated consumers","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Regret; Probabilistic logic; Product (mathematics); Computer science; Product design; Business; Econometrics; Mathematics; Artificial intelligence; Machine learning","score_opus":0.05420682074946315,"score_gpt":0.2607526407569421,"score_spread":0.20654582000747895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377695054","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":[0.9887442,0.0000313359,0.00038729643,0.005746566,0.004086118,0.00022853327,0.0000016507053,0.00007577302,0.0006985075],"genre_scores_gemma":[0.9972679,0.00006818734,0.0005179788,0.00014283888,0.0015362854,0.0000070632177,0.000011429822,0.000025268393,0.0004230201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897385,0.000016959399,0.00045163487,0.00021110226,0.00018773756,0.0001587294],"domain_scores_gemma":[0.998346,0.000048903123,0.00061791576,0.00014118759,0.0008310544,0.000014966601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010106813,0.00012677003,0.00017715199,0.00060328766,0.000072143164,0.00021712053,0.00029586785,0.000025373198,0.0001183237],"category_scores_gemma":[0.00047248564,0.00010831617,0.000062008476,0.00030707463,0.000075003176,0.0011419256,0.00005620334,0.00015366178,0.0001168006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051464397,0.0007267653,0.46079728,0.0003022131,0.0021176501,0.0004571503,0.0007386514,0.1224554,0.007141016,0.0074535385,0.042946428,0.34971747],"study_design_scores_gemma":[0.008204222,0.0003227472,0.51861215,0.0010818971,0.0017767224,0.0027047787,0.0020812561,0.03355677,0.0108615,0.020094316,0.3979673,0.00273635],"about_ca_topic_score_codex":0.000043399956,"about_ca_topic_score_gemma":0.000024286293,"teacher_disagreement_score":0.35502088,"about_ca_system_score_codex":0.00007569802,"about_ca_system_score_gemma":0.000100747355,"threshold_uncertainty_score":0.44170052},"labels":[],"label_agreement":null},{"id":"W4378364512","doi":"10.1016/j.ijpe.2023.108925","title":"Integration of operational lockout/tagout in a joint production and maintenance policy of a smart production system","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Preventive maintenance; Production (economics); Corrective maintenance; Computer science; Reliability engineering; Reliability (semiconductor); Maintenance actions; Work (physics); Operations research; Control (management); Condition-based maintenance; Risk analysis (engineering); Engineering; Business; Economics","score_opus":0.01241304617602027,"score_gpt":0.22396206266688148,"score_spread":0.21154901649086122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378364512","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":[0.9877642,0.000064001666,0.0036750354,0.0036268476,0.004388328,0.00028748193,0.000012907898,0.000041367173,0.0001398661],"genre_scores_gemma":[0.9955928,0.0013707206,0.002034236,0.000008517955,0.000777924,0.000013392635,0.000015306721,0.00001949154,0.00016762502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998377,0.000044179742,0.0010595853,0.00020574829,0.0001882628,0.0001251913],"domain_scores_gemma":[0.9984298,0.000018307048,0.0004887994,0.0001473404,0.0008801996,0.000035592715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010483944,0.00012896661,0.00028440534,0.0009161156,0.000024554429,0.00002568886,0.0001305313,0.00007149545,0.00000440894],"category_scores_gemma":[0.0010604999,0.00012797458,0.00007484951,0.00035566688,0.0000910564,0.0007873382,0.00002716772,0.00016934518,0.0000029388289],"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":[0.00019699807,0.000072013725,0.0015255124,0.00019332053,0.00010038348,0.000001630843,0.0011541531,0.935134,0.04858097,0.005186138,0.0007367689,0.0071181236],"study_design_scores_gemma":[0.0023329884,0.0005571017,0.06587148,0.003537192,0.000100260346,0.0015832653,0.0073006996,0.41458023,0.4934069,0.0075263786,0.002376326,0.0008271887],"about_ca_topic_score_codex":0.00004568226,"about_ca_topic_score_gemma":0.000076591146,"teacher_disagreement_score":0.52055377,"about_ca_system_score_codex":0.0005176439,"about_ca_system_score_gemma":0.00014574267,"threshold_uncertainty_score":0.5218652},"labels":[],"label_agreement":null},{"id":"W4381108583","doi":"10.1016/j.ijpe.2023.108954","title":"Manufacturer encroachment with a new product under network externalities","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Social Science Fund of China; Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Profitability index; Product (mathematics); Network effect; Externality; Business; Industrial organization; Channel (broadcasting); Supply chain; Microeconomics; Economics; Marketing; Computer science; Telecommunications; Mathematics","score_opus":0.028338346503958042,"score_gpt":0.22993991883127401,"score_spread":0.20160157232731596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381108583","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":[0.9310893,0.00012927108,0.0016398884,0.045471556,0.015470052,0.0002798064,0.0000016062418,0.00010620557,0.005812344],"genre_scores_gemma":[0.95942295,0.0001905039,0.00052175595,0.0028258634,0.027019357,0.000006482612,0.000022499637,0.000033524655,0.009957091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989178,0.000006659766,0.0004116086,0.00020911508,0.00026746796,0.0001873248],"domain_scores_gemma":[0.99901927,0.000011558239,0.0005478054,0.0001516241,0.0002495789,0.000020171985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005584351,0.00013875918,0.00015659974,0.00039239982,0.00006488127,0.0003070678,0.00036512688,0.000021940654,0.0003494215],"category_scores_gemma":[0.00003600269,0.00011568185,0.00008663862,0.00015485456,0.000038681,0.0013323363,0.00010508429,0.00012268961,0.00018984807],"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":[0.00062319177,0.0001503413,0.03363128,0.000056680747,0.001082496,0.000043045045,0.00028337562,0.50157124,0.000106566295,0.05769968,0.37878332,0.0259688],"study_design_scores_gemma":[0.0010335968,0.00003928747,0.03286264,0.00010257301,0.00007908638,0.00009921276,0.0008043173,0.00085744244,0.0005718429,0.045412607,0.91782737,0.00031002384],"about_ca_topic_score_codex":0.00008990672,"about_ca_topic_score_gemma":0.000052522355,"teacher_disagreement_score":0.5390441,"about_ca_system_score_codex":0.00014110297,"about_ca_system_score_gemma":0.000056900466,"threshold_uncertainty_score":0.47173688},"labels":[],"label_agreement":null},{"id":"W4385237529","doi":"10.1016/j.ijpe.2023.108985","title":"Customer segmentation, pricing, and lead time decisions: A stochastic-user-equilibrium perspective","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Lead time; Computer science; Supply chain network; Variational inequality; Supply chain management; Profit (economics); Comparative statics; Service management; Operations research; Microeconomics; Economics; Business; Mathematical optimization; Operations management; Marketing; Mathematics","score_opus":0.022797349087562868,"score_gpt":0.25937556172238746,"score_spread":0.2365782126348246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385237529","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":[0.97405344,0.00007461792,0.001135644,0.015428083,0.005565247,0.00023481461,0.0000036285605,0.000068763904,0.0034357726],"genre_scores_gemma":[0.9876929,0.0001581642,0.0005061088,0.0011331394,0.0059771244,0.000009156864,0.000021634338,0.000033089327,0.004468716],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990715,0.000009298219,0.00040213927,0.00019761533,0.00019774378,0.00012171608],"domain_scores_gemma":[0.99876285,0.000038484908,0.00047123223,0.00009464256,0.00061729347,0.00001551549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005968528,0.00010855971,0.00014018417,0.00079214625,0.0000627385,0.00024686888,0.00023146019,0.000027460475,0.00019368516],"category_scores_gemma":[0.00042954987,0.00010677206,0.000068868794,0.0001906114,0.000049937113,0.0016620246,0.00014026712,0.00009655303,0.0005887477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001456226,0.000846163,0.012269279,0.00010288945,0.002722789,0.00010782368,0.004239314,0.15622619,0.0117182,0.20153514,0.5253777,0.08339828],"study_design_scores_gemma":[0.0072292145,0.00020506185,0.026448073,0.000536864,0.00051207916,0.00044239324,0.027060485,0.09433747,0.0023483015,0.1264835,0.7127329,0.0016636659],"about_ca_topic_score_codex":0.00002462224,"about_ca_topic_score_gemma":0.0000061515325,"teacher_disagreement_score":0.18735519,"about_ca_system_score_codex":0.00022660449,"about_ca_system_score_gemma":0.000029351399,"threshold_uncertainty_score":0.7567357},"labels":[],"label_agreement":null},{"id":"W4386056951","doi":"10.1016/j.ijpe.2023.109015","title":"Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":297,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Supply chain; Early adopter; Operational excellence; Supply chain management; Excellence; Business; Knowledge management; Generative grammar; Marketing; Computer science; Artificial intelligence; Political science","score_opus":0.10460514015476652,"score_gpt":0.38637213341798415,"score_spread":0.28176699326321764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386056951","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":[0.89757115,0.0004382982,0.00053787394,0.09740772,0.003712987,0.0002803342,0.000021136508,0.000011886527,0.000018617658],"genre_scores_gemma":[0.9819026,0.011828128,0.00072768796,0.0013563867,0.0036402615,0.00002716742,0.000030825806,0.000014024123,0.0004729321],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992118,0.000019519834,0.00039856817,0.00017157532,0.00008674288,0.00011181903],"domain_scores_gemma":[0.99899036,0.00004697383,0.00024046909,0.00006888415,0.0005564523,0.00009683931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041612962,0.00008134463,0.0001568524,0.00029767322,0.00008488342,0.00005998929,0.000056764708,0.00005254614,0.000027917282],"category_scores_gemma":[0.00035925442,0.00007806366,0.00004508612,0.000064534004,0.000066541324,0.000310467,0.00001740007,0.00012354758,0.00000608989],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022159945,0.0007816274,0.10446022,0.00042229862,0.0013440601,0.000047835787,0.0480054,0.016143799,0.018094094,0.013414703,0.036240887,0.7588291],"study_design_scores_gemma":[0.0034265101,0.0036220748,0.14759637,0.0019402822,0.0005646201,0.005825327,0.12074568,0.13967298,0.15942553,0.03347997,0.38195568,0.001744975],"about_ca_topic_score_codex":0.000027591166,"about_ca_topic_score_gemma":0.000062708714,"teacher_disagreement_score":0.75708413,"about_ca_system_score_codex":0.00013302073,"about_ca_system_score_gemma":0.00014059221,"threshold_uncertainty_score":0.31833437},"labels":[],"label_agreement":null},{"id":"W4386570196","doi":"10.1016/j.ijpe.2023.109019","title":"Is carbon asset pledge financing contributing to the operation of emission-dependent engineering machinery remanufacturing with emission abatement?","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Pledge; Remanufacturing; Profit (economics); Business; Production (economics); Environmental economics; Industrial organization; Microeconomics; Economics; Manufacturing engineering","score_opus":0.010006097496339994,"score_gpt":0.22386866186075086,"score_spread":0.21386256436441087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386570196","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":[0.98141855,0.00002353773,0.0020465718,0.013715802,0.0022748571,0.0002610135,0.0000031339944,0.000031253145,0.00022531055],"genre_scores_gemma":[0.99670845,0.00003318928,0.00018785788,0.00029062093,0.0022913846,0.000008380275,0.000016197642,0.00002434129,0.0004395934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986635,0.000010521317,0.0005989195,0.00020602644,0.0003040772,0.0002169544],"domain_scores_gemma":[0.99858344,0.000038463782,0.0006622854,0.0001675057,0.00053017423,0.00001814955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016343113,0.00014048432,0.00017740308,0.0005971098,0.000111723864,0.00019817254,0.00037425515,0.0000315498,0.000028763297],"category_scores_gemma":[0.00040798704,0.00010722515,0.0000643806,0.00019757511,0.000010605239,0.00075915863,0.00025417222,0.00016169834,0.000008461905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022387516,0.00005110728,0.02993447,0.0001341369,0.0002742498,0.000028283835,0.0005174362,0.95345867,0.0050809677,0.00048497392,0.003924775,0.00588704],"study_design_scores_gemma":[0.004017323,0.00017453378,0.07253172,0.0015784228,0.00030958778,0.00017282304,0.0097132735,0.6102638,0.15624142,0.0017097612,0.14212213,0.0011651929],"about_ca_topic_score_codex":0.00009850942,"about_ca_topic_score_gemma":0.000013869203,"teacher_disagreement_score":0.34319487,"about_ca_system_score_codex":0.00031538,"about_ca_system_score_gemma":0.000053730044,"threshold_uncertainty_score":0.43725148},"labels":[],"label_agreement":null},{"id":"W4387740692","doi":"10.1016/j.ijpe.2023.109072","title":"Collaborative emergency decision-making: A framework for deep learning with social media data","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Interpretability; Computer science; Social media; Government (linguistics); Focus (optics); Public opinion; Sentiment analysis; Data science; Artificial intelligence; Knowledge management; Machine learning; World Wide Web; Political science","score_opus":0.04102946983903895,"score_gpt":0.3748303169420203,"score_spread":0.33380084710298136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387740692","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":[0.8553159,0.00015455997,0.088342994,0.025766961,0.025751388,0.00046576693,0.00004638674,0.000082962884,0.004073036],"genre_scores_gemma":[0.98135173,0.0011076084,0.011821444,0.00003398278,0.005143734,0.0000054778957,0.000017235203,0.000012763974,0.00050599384],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990697,0.000047127694,0.0003094533,0.0001782205,0.00026595767,0.00012956579],"domain_scores_gemma":[0.9985117,0.00026580246,0.0004875721,0.000085391366,0.0006141262,0.00003543025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010346598,0.000062332285,0.00010758855,0.00020458225,0.0002768134,0.00011700464,0.00071355473,0.000041038045,0.000108797474],"category_scores_gemma":[0.0026361565,0.000056204826,0.00003976033,0.00026618427,0.00009749949,0.0008213666,0.000093080474,0.00011967445,0.000016449829],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013097232,0.00018202425,0.009942428,0.0000159639,0.00078886095,0.000019967467,0.08927148,0.025336962,0.000020688114,0.20422778,0.03543547,0.63344866],"study_design_scores_gemma":[0.0008229467,0.00014849598,0.013250607,0.00018569184,0.00010097592,0.0000136288,0.13795349,0.0030870594,0.000026700058,0.2851194,0.55887854,0.00041247258],"about_ca_topic_score_codex":0.0000022774138,"about_ca_topic_score_gemma":0.00031464538,"teacher_disagreement_score":0.6330362,"about_ca_system_score_codex":0.00009486691,"about_ca_system_score_gemma":0.00014482393,"threshold_uncertainty_score":0.3155916},"labels":[],"label_agreement":null},{"id":"W4388091559","doi":"10.1016/j.ijpe.2023.109077","title":"Integrated planning and scheduling of engineer-to-order projects using a Lamarckian Layered Genetic Algorithm","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Schedule; Robustness (evolution); Scheduling (production processes); Genetic algorithm; Machine learning; Mathematics","score_opus":0.12078553486253406,"score_gpt":0.3748450309318462,"score_spread":0.2540594960693121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388091559","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":[0.91506433,0.00008460382,0.08135584,0.0012260149,0.0020372658,0.00014779002,0.000015700494,0.000018626826,0.00004981626],"genre_scores_gemma":[0.64178157,0.00003615567,0.35735562,0.00004647453,0.00068119325,0.000001980919,0.0000025858892,0.000018565344,0.00007587212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976571,0.000090553694,0.0012143875,0.00032933772,0.0005187068,0.00018986582],"domain_scores_gemma":[0.99702996,0.00028045048,0.00087713427,0.00018454774,0.0015145976,0.00011332664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002511634,0.00014640459,0.0003256357,0.0017713453,0.0000605189,0.00021601505,0.0005547044,0.00006964666,0.000030286621],"category_scores_gemma":[0.0042025857,0.0001304552,0.00009452328,0.0007778449,0.00007555114,0.00046422976,0.00013208424,0.00024427543,0.0000129681175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010437484,0.000029726332,0.011207043,0.000006003518,0.0001820954,0.000026988568,0.0025603895,0.85948104,0.011626027,0.000063856816,0.000052230676,0.1146602],"study_design_scores_gemma":[0.001326248,0.00024054323,0.016795391,0.00036852376,0.000045934255,0.0019296629,0.011255439,0.93624336,0.024862463,0.0041432898,0.002344522,0.00044460403],"about_ca_topic_score_codex":0.000015683485,"about_ca_topic_score_gemma":0.0000025409774,"teacher_disagreement_score":0.27599978,"about_ca_system_score_codex":0.00012656007,"about_ca_system_score_gemma":0.00032993685,"threshold_uncertainty_score":0.5319808},"labels":[],"label_agreement":null},{"id":"W4389265587","doi":"10.1016/j.ijpe.2023.109120","title":"The effect of geopolitical tensions on international research collaborations and its implications for global operations management","year":2023,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"HEC Montréal","keywords":"Geopolitics; Divergence (linguistics); Politics; Business; Variety (cybernetics); Marketing; Political science; Computer science","score_opus":0.057137660696499275,"score_gpt":0.36118399457948497,"score_spread":0.3040463338829857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389265587","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":[0.87368375,0.00005803297,0.00055238564,0.11129661,0.008007559,0.0007232502,0.00012998031,0.00003250169,0.005515926],"genre_scores_gemma":[0.9957905,0.0003075626,0.00015234135,0.00019952319,0.0027198512,0.00007805086,0.000065161425,0.000013387671,0.0006736679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998821,0.000022090351,0.0005265951,0.00019029828,0.00027185478,0.00016816892],"domain_scores_gemma":[0.9964366,0.0002707476,0.00024609515,0.00013259037,0.0028947839,0.000019203515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013545704,0.000101824575,0.00013602483,0.00048541956,0.00037985208,0.00032222838,0.00046671653,0.0000414132,0.000013261414],"category_scores_gemma":[0.0011931836,0.00007851219,0.00008959901,0.00035317018,0.00010634146,0.00067918614,0.00015451587,0.00011590537,0.000036207988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025899857,0.000053435106,0.0024497386,0.000018180945,0.00023596374,0.0000013978918,0.000012187496,0.009522745,0.000163767,0.97364,0.008158563,0.0054850015],"study_design_scores_gemma":[0.004622988,0.00043027382,0.22317135,0.00030324477,0.00026528627,0.0001695658,0.0011319369,0.055059556,0.0018242185,0.1985203,0.5139421,0.00055916474],"about_ca_topic_score_codex":0.000012894855,"about_ca_topic_score_gemma":0.000040625175,"teacher_disagreement_score":0.7751197,"about_ca_system_score_codex":0.00017110191,"about_ca_system_score_gemma":0.000055000182,"threshold_uncertainty_score":0.3201634},"labels":[],"label_agreement":null},{"id":"W4391915383","doi":"10.1016/j.ijpe.2024.109193","title":"Never too late to learn: Unlocking the potential of aging workforce in manufacturing and service industries","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Horizon 2020 Framework Programme; H2020 Marie Skłodowska-Curie Actions; Universität des Saarlandes; European Commission","keywords":"Workforce; Knowledge management; Lifelong learning; Workforce development; Aging in the American workforce; Scopus; Service (business); Organizational learning; Process (computing); Business; Computer science; Psychology; Marketing; Political science; MEDLINE","score_opus":0.020357267649085055,"score_gpt":0.2827726109265321,"score_spread":0.26241534327744703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391915383","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":[0.89676845,0.00014774599,0.00013187285,0.10070853,0.0020487185,0.000059620874,0.0000012903491,0.000012586698,0.00012120703],"genre_scores_gemma":[0.99815685,0.00033541778,0.00020082197,0.0002617604,0.00062311,8.8542157e-7,3.0722342e-7,0.00000582514,0.00041505232],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993741,0.000033982513,0.00028099923,0.000108308464,0.00011228352,0.00009032467],"domain_scores_gemma":[0.9995802,0.000041311094,0.0001431862,0.000053277363,0.00015755532,0.000024484449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006639324,0.000050331164,0.000081855316,0.00025523666,0.000059212845,0.00010004251,0.00025479606,0.000052049025,0.000012303885],"category_scores_gemma":[0.00014775313,0.000044277676,0.000022073013,0.00013637554,0.000070529575,0.0006342271,0.0000655401,0.00024710954,0.0000029099124],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015257837,0.00006341146,0.0124182915,0.000039048784,0.00040629396,0.0000566937,0.0450047,0.16914064,0.0019775666,0.022023855,0.0013985926,0.7473183],"study_design_scores_gemma":[0.0015798497,0.00015912647,0.13586412,0.002138023,0.00013661158,0.0008466846,0.053031437,0.0034529965,0.12485873,0.05237325,0.62473613,0.0008230288],"about_ca_topic_score_codex":0.0002510355,"about_ca_topic_score_gemma":0.0005895665,"teacher_disagreement_score":0.7464953,"about_ca_system_score_codex":0.00015686231,"about_ca_system_score_gemma":0.00012435093,"threshold_uncertainty_score":0.18055913},"labels":[],"label_agreement":null},{"id":"W4392135587","doi":"10.1016/j.ijpe.2024.109178","title":"Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Supply chain; Transparency (behavior); Carbon neutrality; Industrial organization; Neutrality; Business; Supply chain management; Environmental economics; Digital transformation; Analytics; Computer science; Economics; Marketing; Greenhouse gas; Data science; Computer security","score_opus":0.026909005704051022,"score_gpt":0.26168031576377526,"score_spread":0.23477131005972424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392135587","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":[0.96744347,0.00024535815,0.0038522747,0.0150954565,0.011545771,0.0005808183,0.0003440697,0.00008890493,0.0008038771],"genre_scores_gemma":[0.9856522,0.00009297038,0.0002542299,0.0003694363,0.011984125,0.000020959635,0.0012022826,0.000048737522,0.00037502454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981643,0.000011694851,0.0008903003,0.00043405316,0.00028100816,0.00021863793],"domain_scores_gemma":[0.998514,0.00007624164,0.0004898689,0.0003046581,0.0005896534,0.000025573445],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005632148,0.00021923998,0.0002511241,0.00078845304,0.00008391324,0.0020767178,0.00087247277,0.00007490797,0.0000866217],"category_scores_gemma":[0.00020317799,0.00021837265,0.0001644131,0.00016540944,0.00006189933,0.007209469,0.00016993936,0.00020430388,0.00003010211],"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":[0.004641399,0.0013696533,0.06295026,0.0024414437,0.008445139,0.00038765912,0.006845862,0.3159679,0.002659579,0.2957958,0.053693183,0.24480213],"study_design_scores_gemma":[0.0015644883,0.000050780738,0.0061361925,0.00018429,0.00016499599,0.000040310864,0.0016154173,0.24387491,0.00054689916,0.045226198,0.7000948,0.0005007022],"about_ca_topic_score_codex":0.00018129165,"about_ca_topic_score_gemma":0.00012757901,"teacher_disagreement_score":0.64640164,"about_ca_system_score_codex":0.00042814575,"about_ca_system_score_gemma":0.00011020374,"threshold_uncertainty_score":0.99895924},"labels":[],"label_agreement":null},{"id":"W4392973637","doi":"10.1016/j.ijpe.2024.109201","title":"A multi-level production-inventory-distribution system under mixed make to stock, make to order, and vendor managed inventory strategies: An application in the pulp and paper industry","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vendor-managed inventory; Vendor; Supply chain; Operations research; Computer science; Time horizon; Order (exchange); Service level; Stock (firearms); Business; Production (economics); Production planning; Operations management; Supply chain management; Marketing; Economics; Microeconomics","score_opus":0.04426102410311484,"score_gpt":0.27200266922836686,"score_spread":0.22774164512525202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392973637","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":[0.9705333,0.00016135357,0.005433531,0.018492274,0.0043829978,0.00074821274,0.000012629797,0.000044422446,0.00019129002],"genre_scores_gemma":[0.9952305,0.000039206974,0.00038695967,0.0010223171,0.0028937235,0.00007997614,0.000048287817,0.000023532124,0.00027552008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860907,0.00004467635,0.00054074253,0.00040215958,0.00024038696,0.00016296856],"domain_scores_gemma":[0.99921024,0.000012962956,0.00025361357,0.00019892669,0.00028553404,0.000038709888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014424371,0.0001711065,0.00016358863,0.00053051114,0.00010392125,0.0007767018,0.00033251964,0.000081591425,0.000014077896],"category_scores_gemma":[0.00010228574,0.00015403575,0.000043307016,0.00029520487,0.000045010514,0.0014518376,0.00011329348,0.00030418005,0.000019419018],"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":[0.0015562406,0.0019940517,0.02999988,0.0023109317,0.0016843834,0.00015465502,0.0072145546,0.15321884,0.0065138494,0.4312634,0.036649335,0.3274399],"study_design_scores_gemma":[0.0031363114,0.00026313364,0.16488121,0.0013377464,0.00036538226,0.0006621693,0.08333606,0.07904233,0.00032643438,0.010033154,0.655187,0.0014290686],"about_ca_topic_score_codex":0.0001626674,"about_ca_topic_score_gemma":0.0009840695,"teacher_disagreement_score":0.61853766,"about_ca_system_score_codex":0.00037738617,"about_ca_system_score_gemma":0.00006121892,"threshold_uncertainty_score":0.74897534},"labels":[],"label_agreement":null},{"id":"W4395449871","doi":"10.1016/j.ijpe.2024.109260","title":"Weather rebate sharing contract for enhancing supply chain performance","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"CVAR; Supply chain; Revenue sharing; Risk aversion (psychology); Pareto principle; Business; Profit (economics); Revenue; Risk neutral; Expected utility hypothesis; Microeconomics; Risk management; Computer science; Expected shortfall; Finance; Economics; Operations management; Marketing","score_opus":0.019931110986008777,"score_gpt":0.23913490483014221,"score_spread":0.21920379384413344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395449871","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":[0.96116734,0.00027193938,0.0031744773,0.011185742,0.020312874,0.00024517233,0.000003711249,0.00005557982,0.0035831663],"genre_scores_gemma":[0.9855655,0.0001991462,0.0002688455,0.0006807699,0.011205469,0.000010570257,0.000010868989,0.000025730813,0.0020331421],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990916,0.0000026191503,0.00046565372,0.00019355398,0.000115556424,0.00013101097],"domain_scores_gemma":[0.9993143,0.000019984083,0.000293969,0.00009034909,0.00027121697,0.0000101752885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090853195,0.00010395342,0.00012783987,0.0004271568,0.000056359164,0.00046505826,0.0003026219,0.00002805665,0.00025062985],"category_scores_gemma":[0.00009006724,0.00009904468,0.00012772679,0.00006357413,0.000019689818,0.002100148,0.000061303224,0.00011129061,0.00007026739],"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":[0.0014711,0.000507024,0.034208655,0.0013980449,0.0029559464,0.000072699455,0.0014112489,0.0730786,0.010999236,0.33692223,0.07302021,0.46395501],"study_design_scores_gemma":[0.00064490037,0.000035992307,0.0017948595,0.00033630786,0.00007252066,0.00006199947,0.00026707127,0.09901189,0.0032083702,0.0070497044,0.8872776,0.00023879162],"about_ca_topic_score_codex":0.000013926479,"about_ca_topic_score_gemma":0.00002300741,"teacher_disagreement_score":0.8142574,"about_ca_system_score_codex":0.0001770493,"about_ca_system_score_gemma":0.000028477492,"threshold_uncertainty_score":0.44845676},"labels":[],"label_agreement":null},{"id":"W4395663516","doi":"10.1016/j.ijpe.2024.109257","title":"Multi-objective disassembly line balancing and related supply chain management problems under uncertainty: Review and future trends","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"National Natural Science Foundation of China","keywords":"Computer science; Supply chain; Certainty; Risk analysis (engineering); Focus (optics); Supply chain management; Product (mathematics); Operations research; Management science; Business; Economics","score_opus":0.007508166463762017,"score_gpt":0.22855604325639248,"score_spread":0.22104787679263047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395663516","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":[0.5497368,0.26053134,0.049483005,0.09747146,0.03723009,0.0012832059,0.00010547333,0.0006212602,0.003537395],"genre_scores_gemma":[0.83986294,0.15571149,0.002447185,0.00010280709,0.00087690214,0.000008040575,0.000023433746,0.000030362455,0.00093683024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999396,0.000009563381,0.0003244611,0.00014011709,0.000059899594,0.000069919],"domain_scores_gemma":[0.9997407,0.00000903251,0.000090262016,0.000047811012,0.000076766555,0.000035388435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023639607,0.00009993275,0.00013537801,0.00021605859,0.000023282499,0.0000873834,0.00006675863,0.000035630306,0.00003488803],"category_scores_gemma":[0.000006826284,0.00008987517,0.000034441644,0.0000640423,0.000015051967,0.00035132765,0.000020493891,0.00013993247,0.0000012810684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012836077,0.000021305726,0.000054117976,0.0008199202,0.0006275557,0.00000871355,0.0005177522,0.83324665,0.00007390372,0.0010166125,0.00057352096,0.16302714],"study_design_scores_gemma":[0.0026338613,0.00024413697,0.014955189,0.005767097,0.00096057256,0.0031722423,0.001262863,0.8103196,0.0020584997,0.0056852773,0.15173618,0.001204473],"about_ca_topic_score_codex":0.0000019445931,"about_ca_topic_score_gemma":0.0000066788493,"teacher_disagreement_score":0.29012617,"about_ca_system_score_codex":0.00014098966,"about_ca_system_score_gemma":0.000010092735,"threshold_uncertainty_score":0.3665003},"labels":[],"label_agreement":null},{"id":"W4396617843","doi":"10.1016/j.ijpe.2024.109261","title":"A budgeting resource allocation model for capacity expansion","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Resource allocation; Computer science; Resource (disambiguation); Operations research; Mathematics","score_opus":0.05606540959130747,"score_gpt":0.2546236329388417,"score_spread":0.19855822334753426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396617843","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":[0.90631694,0.0046949885,0.06973209,0.013150353,0.0050869216,0.00016059756,0.00008354063,0.0000324106,0.000742167],"genre_scores_gemma":[0.98845834,0.001806386,0.0058517135,0.00017154282,0.0017010216,0.0000082247225,0.000024314259,0.000021421649,0.00195703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988609,0.0000064718547,0.00076132873,0.00023158526,0.00003895294,0.00010078218],"domain_scores_gemma":[0.9991741,0.00003297741,0.00047213258,0.00010361523,0.00017249255,0.00004466078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000846612,0.000091315094,0.00019454943,0.0004755506,0.000050873063,0.00016536718,0.00020290623,0.00005452309,0.000034637076],"category_scores_gemma":[0.00017595266,0.00009809162,0.00024906977,0.000072616334,0.000032787095,0.00066662877,0.000022193786,0.00011846194,0.00004089924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097804754,0.00011211493,0.0004528848,0.0000374125,0.00060861255,0.0000019800389,0.001971493,0.14375201,0.0008993339,0.83636093,0.009509693,0.0061957147],"study_design_scores_gemma":[0.00024512477,0.000041796742,0.000116542345,0.00003792823,0.00003174643,0.00005081201,0.00012743709,0.73671824,0.0019697803,0.1991523,0.061355196,0.00015307627],"about_ca_topic_score_codex":0.00001663752,"about_ca_topic_score_gemma":0.000010945347,"teacher_disagreement_score":0.63720864,"about_ca_system_score_codex":0.00030314943,"about_ca_system_score_gemma":0.00004245768,"threshold_uncertainty_score":0.40000606},"labels":[],"label_agreement":null},{"id":"W4400269099","doi":"10.1016/j.ijpe.2024.109325","title":"A location-production-routing problem for distributed manufacturing platforms: A neural genetic algorithm solution methodology","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Production (economics); Genetic algorithm; Routing (electronic design automation); Vehicle routing problem; Distributed manufacturing; Algorithm; Distributed computing; Mathematical optimization; Manufacturing engineering; Computer network; Machine learning; Mathematics; Engineering; Economics","score_opus":0.03355096627014402,"score_gpt":0.2761730335254672,"score_spread":0.24262206725532315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400269099","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":[0.030518798,0.0004570911,0.95652676,0.00080679223,0.01132947,0.00018576646,0.00002684649,0.00013526043,0.000013219806],"genre_scores_gemma":[0.682891,0.00042875408,0.31368122,0.000015019211,0.0027918974,0.000019572823,0.00006326505,0.000037497724,0.00007178645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988679,0.000014266791,0.00062147784,0.0002226131,0.000098450226,0.00017527555],"domain_scores_gemma":[0.9992243,0.00009474496,0.00020373776,0.00010389497,0.00032571526,0.000047578164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044039547,0.00015139996,0.00017644932,0.00029270194,0.000071493996,0.00010768114,0.00017844833,0.00007378174,0.000007959737],"category_scores_gemma":[0.0002185655,0.00015525299,0.000097813165,0.00006686332,0.00003748495,0.00061648805,0.000021084521,0.000218056,0.0000042348966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002674268,0.000012733035,0.000005750254,0.00005954637,0.00018001266,0.0000026712187,0.0001524741,0.91097003,0.00022858649,0.00057227607,0.0003485069,0.087440655],"study_design_scores_gemma":[0.0003056495,0.000063837026,0.00016278542,0.000116661555,0.00007330328,0.0007879344,0.00014377045,0.93059933,0.03155934,0.031091621,0.004852269,0.0002434991],"about_ca_topic_score_codex":0.000003957874,"about_ca_topic_score_gemma":0.000004143975,"teacher_disagreement_score":0.6523722,"about_ca_system_score_codex":0.00045928112,"about_ca_system_score_gemma":0.000055279073,"threshold_uncertainty_score":0.6331033},"labels":[],"label_agreement":null},{"id":"W4401668032","doi":"10.1016/j.ijpe.2024.109372","title":"Implementation mode selection for blockchain technology in green product traceability","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"National Science Fund for Distinguished Young Scholars; Natural Science Foundation of Zhejiang Province; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China; Zhejiang Gongshang University","keywords":"Traceability; Supply chain; Blockchain; Business; Profitability index; Outsourcing; Product (mathematics); Industrial organization; Supply chain management; Commerce; Computer science; Marketing; Computer security; Finance","score_opus":0.012595875631428667,"score_gpt":0.3068325129274854,"score_spread":0.29423663729605676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401668032","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":[0.8255178,0.00024908912,0.102035634,0.0696472,0.0020462228,0.00034769595,0.0000078437015,0.00013544073,0.000013110365],"genre_scores_gemma":[0.9732341,0.000056583856,0.02608246,0.000040955696,0.00047903557,0.000056017598,0.000002319536,0.000007723417,0.00004078989],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998892,0.000021747252,0.00055049296,0.0003269133,0.00008426047,0.00012457896],"domain_scores_gemma":[0.999168,0.000033106277,0.00022357778,0.00017424497,0.00037940734,0.000021706397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080772495,0.00008859889,0.00013191954,0.000887497,0.00004234173,0.00007000844,0.00057308236,0.00007508417,0.0000057467014],"category_scores_gemma":[0.000070393085,0.000092195325,0.00007136782,0.00035427467,0.000044845463,0.00029546788,0.000054458174,0.00022747826,0.0000027831509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006172586,0.0002344195,0.005169451,0.000031706444,0.00016899066,0.0000029598511,0.0006941251,0.010515969,0.0044854777,0.41342986,0.0007699005,0.5644354],"study_design_scores_gemma":[0.0006116893,0.00021825785,0.0011727905,0.00003357843,0.00001688801,0.0006929516,0.00023128944,0.29987842,0.064022645,0.6160157,0.016892802,0.00021298384],"about_ca_topic_score_codex":0.00003652416,"about_ca_topic_score_gemma":0.00028765644,"teacher_disagreement_score":0.56422246,"about_ca_system_score_codex":0.0003632921,"about_ca_system_score_gemma":0.00017621268,"threshold_uncertainty_score":0.37596163},"labels":[],"label_agreement":null},{"id":"W4402538155","doi":"10.1016/j.ijpe.2024.109408","title":"A framework for modeling and simulating blockchain-based supply chain traceability systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blockchain; Traceability; Supply chain; Computer science; Supply chain management; Risk analysis (engineering); Business; Computer security; Software engineering","score_opus":0.03436155285379427,"score_gpt":0.2718799872799143,"score_spread":0.23751843442612003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402538155","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":[0.9805754,0.0005987564,0.0029520562,0.012584194,0.0029436033,0.00024168912,0.00006120766,0.000038845963,0.000004269335],"genre_scores_gemma":[0.9943695,0.000023363706,0.0031855397,0.000047511,0.0023413596,0.00000992024,0.0000071611958,0.000002301035,0.000013341576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989206,0.00004792277,0.00052544195,0.00026288576,0.00012111499,0.00012202423],"domain_scores_gemma":[0.9988373,0.0005545241,0.00017171937,0.000043287153,0.00033057842,0.000062584855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236562,0.0001045498,0.00016810637,0.000044482254,0.00006936543,0.00019333205,0.00018099223,0.00007908824,0.000021337188],"category_scores_gemma":[0.0005884677,0.000053441454,0.00012766392,0.00006354829,0.00003958095,0.00012175098,0.00001898416,0.00018306782,9.53494e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023917311,0.00011795982,0.0042800778,0.00006431845,0.00012621917,0.0000028797126,0.00030594875,0.9410318,0.0032099963,0.0037334303,0.000046406225,0.046841785],"study_design_scores_gemma":[0.00012022167,0.00017053487,0.0007518893,0.00012513096,0.000016526506,0.000060361133,0.00046477537,0.9812152,0.00049196836,0.015078511,0.0013894364,0.000115468494],"about_ca_topic_score_codex":0.000029682376,"about_ca_topic_score_gemma":0.00003107387,"teacher_disagreement_score":0.046726316,"about_ca_system_score_codex":0.00016072423,"about_ca_system_score_gemma":0.0000390115,"threshold_uncertainty_score":0.21792793},"labels":[],"label_agreement":null},{"id":"W4402637589","doi":"10.1016/j.ijpe.2024.109413","title":"Scheduling of memory chips for final testing on parallel machines considering power constraints and deteriorating effects","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Parallel computing; Reliability engineering; Mathematical optimization; Mathematics","score_opus":0.026196736400066107,"score_gpt":0.2573413131422374,"score_spread":0.2311445767421713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402637589","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":[0.9183486,0.00046707026,0.07575869,0.0003205619,0.004820374,0.00009636441,0.000007946926,0.000045245568,0.00013514006],"genre_scores_gemma":[0.7939693,0.00005529402,0.20540978,0.000021032512,0.000513504,0.000002768741,0.0000016584713,0.000017911088,0.000008798001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931234,0.000011087174,0.00041472848,0.00011410528,0.00006865044,0.00007907501],"domain_scores_gemma":[0.9993292,0.0002536276,0.00014260698,0.0000459277,0.00019277487,0.000035863057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033920383,0.00009761723,0.00015118609,0.00021329724,0.000030423673,0.00008536948,0.00007647529,0.000037107973,0.000006720767],"category_scores_gemma":[0.0005819331,0.00009833507,0.00005505663,0.00004066839,0.000046783218,0.00023427734,0.000011839931,0.00014543676,0.0000010852144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003149441,0.000011507462,0.0002477022,0.0000982938,0.00016855521,0.000005869545,0.00024093925,0.92877954,0.0040830234,0.00043714387,0.0000134804395,0.065882474],"study_design_scores_gemma":[0.00059501297,0.00012382623,0.0003652018,0.00057527365,0.000027328244,0.00058421923,0.000178425,0.9813942,0.0147828385,0.0011425335,0.00007446706,0.00015670896],"about_ca_topic_score_codex":5.955441e-7,"about_ca_topic_score_gemma":6.906905e-7,"teacher_disagreement_score":0.12965108,"about_ca_system_score_codex":0.000058716403,"about_ca_system_score_gemma":0.000040617506,"threshold_uncertainty_score":0.40099877},"labels":[],"label_agreement":null},{"id":"W4403158632","doi":"10.1016/j.ijpe.2024.109426","title":"A sustainable semiconductor supply chain under regulation","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Supply chain; Business; Supply chain risk management; Industrial organization; Supply chain management; Marketing; Service management","score_opus":0.011773613371665576,"score_gpt":0.22865277204814216,"score_spread":0.21687915867647659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403158632","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":[0.9108706,0.0005599478,0.004030713,0.061365806,0.017137224,0.00040458975,0.0000028401128,0.00014404482,0.0054842224],"genre_scores_gemma":[0.9760004,0.00008931356,0.00029235953,0.0008355345,0.010709844,0.000007738586,0.000021596497,0.00003774205,0.012005467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987425,0.000011241786,0.00054369937,0.00025265667,0.00023271277,0.00021716782],"domain_scores_gemma":[0.9985088,0.000029063629,0.0003788362,0.00015040018,0.00091770256,0.000015158253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029764,0.00014578439,0.00015507716,0.0011676548,0.00007016568,0.0008647266,0.00037393946,0.000050280247,0.00054850476],"category_scores_gemma":[0.00021592795,0.00014576006,0.00013370598,0.00025753153,0.00004490119,0.0039318143,0.00014191167,0.0001801879,0.00012379051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002034066,0.00013956764,0.0016520263,0.0003183445,0.0006622223,0.00016675581,0.00031979426,0.08349791,0.0014191112,0.8051807,0.08948678,0.016953366],"study_design_scores_gemma":[0.00047985537,0.000019547022,0.0020967266,0.000107398126,0.00008528742,0.00015991925,0.0055188444,0.012047266,0.0007836804,0.15654579,0.821877,0.0002787109],"about_ca_topic_score_codex":0.00009264509,"about_ca_topic_score_gemma":0.000012593652,"teacher_disagreement_score":0.7323902,"about_ca_system_score_codex":0.0006972242,"about_ca_system_score_gemma":0.00012363555,"threshold_uncertainty_score":0.83385783},"labels":[],"label_agreement":null},{"id":"W4403997337","doi":"10.1016/j.ijpe.2024.109461","title":"Digital transformation in public-private collaborations: The success of humanitarian supply chain operations","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Public Procurement and Policy","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":"Western University","funders":"","keywords":"Supply chain; Business; Digital transformation; Transformation (genetics); Supply chain management; Process management; Industrial organization; Computer science; Operations management; Marketing; Economics","score_opus":0.024933488913023695,"score_gpt":0.24955756926005604,"score_spread":0.22462408034703235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403997337","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":[0.90314084,0.00014248796,0.0009400433,0.08483122,0.003600049,0.00021483925,0.000027371678,0.000018130075,0.007085019],"genre_scores_gemma":[0.99667805,0.00010346502,0.00004779396,0.00022849345,0.0027390735,0.000007902328,0.00007383866,0.000009039891,0.000112315196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904674,0.000008410291,0.0006068404,0.000094559735,0.00015234543,0.00009112832],"domain_scores_gemma":[0.9991423,0.000019946787,0.0002166726,0.00008047507,0.00053269666,0.000007914868],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00066615624,0.00007934171,0.000102425925,0.00073521025,0.00006420094,0.0011919859,0.0003719512,0.000029902243,0.00010726869],"category_scores_gemma":[0.00021259714,0.00006401615,0.000064296015,0.00033109653,0.00004532547,0.0074616894,0.000034143308,0.00013381746,0.00001860356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004767857,0.00016859663,0.007586673,0.000049007034,0.00019060563,0.000002666698,0.000858666,0.008763675,0.00040083774,0.9608367,0.0028232585,0.018271616],"study_design_scores_gemma":[0.0012046308,0.000040485713,0.012729889,0.00020401002,0.00005779982,0.00007884945,0.0017780883,0.027756015,0.0011322615,0.0409193,0.91377354,0.00032513568],"about_ca_topic_score_codex":0.00004291106,"about_ca_topic_score_gemma":0.00035782656,"teacher_disagreement_score":0.9199174,"about_ca_system_score_codex":0.00012119928,"about_ca_system_score_gemma":0.0001431381,"threshold_uncertainty_score":0.99984485},"labels":[],"label_agreement":null},{"id":"W4404634970","doi":"10.1016/j.ijpe.2024.109476","title":"Managing financial investments in supply chain networks: The roles of network power and control","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Southwestern University of Finance and Economics; National Natural Science Foundation of China; Canadian Society of Nephrology","keywords":"Business; Supply chain; Control (management); Power (physics); Finance; Industrial organization; Supply chain management; Economics; Marketing; Management","score_opus":0.005099578427086873,"score_gpt":0.18957329047220337,"score_spread":0.18447371204511648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404634970","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":[0.9798251,0.0021265727,0.0007438752,0.00978985,0.0068854243,0.00009649973,0.0000014173935,0.000008088045,0.0005231656],"genre_scores_gemma":[0.9936307,0.00055486953,0.000039893046,0.00069245807,0.0050234175,0.0000020659813,0.0000016002576,0.000007858473,0.000047103913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993557,0.0000057416987,0.00036654616,0.00009934652,0.00007670115,0.00009597381],"domain_scores_gemma":[0.9995645,0.000020795802,0.000263208,0.000048870217,0.000097360506,0.000005249734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060162833,0.00007148919,0.00011981732,0.00017894644,0.00003548286,0.00014018045,0.00016873705,0.0000269149,0.0000115692865],"category_scores_gemma":[0.000052498166,0.000055837092,0.000050764815,0.00011001614,0.00005232475,0.0008013161,0.000048195096,0.00014796178,0.0000039346205],"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":[0.0007463236,0.0001400417,0.1626029,0.000105363804,0.00031659668,0.00004890684,0.0006877559,0.37749216,0.00011189815,0.26114458,0.010953437,0.18565004],"study_design_scores_gemma":[0.0019137379,0.00007980001,0.3860495,0.0013411498,0.000103032835,0.00017206414,0.0004010755,0.17932086,0.00009585982,0.20554997,0.22450642,0.00046652742],"about_ca_topic_score_codex":0.000013893504,"about_ca_topic_score_gemma":0.00005037587,"teacher_disagreement_score":0.2234466,"about_ca_system_score_codex":0.0000410249,"about_ca_system_score_gemma":0.000025610309,"threshold_uncertainty_score":0.22769704},"labels":[],"label_agreement":null},{"id":"W4406781892","doi":"10.1016/j.ijpe.2025.109538","title":"Advancing towards industry 4.0: A maturity model for smart shop floor control","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Maturity (psychological); Business; Control (management); Computer science; Capability Maturity Model; Operations management; Manufacturing engineering; Industrial organization; Economics; Engineering; Artificial intelligence; Psychology","score_opus":0.01254629604667931,"score_gpt":0.25186560752192316,"score_spread":0.23931931147524385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406781892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4444598,0.00011626393,0.522376,0.008382446,0.015003205,0.00032708058,0.00015511441,0.00010040941,0.009079679],"genre_scores_gemma":[0.99275136,0.000074486816,0.005507592,0.000208314,0.00072389917,0.000015674848,0.0000075072066,0.000017530778,0.00069363066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906355,0.00000629272,0.0006073365,0.00009847145,0.00009358025,0.00013078525],"domain_scores_gemma":[0.9992584,0.000024549892,0.00014667508,0.00009370867,0.0004248036,0.00005184224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034272444,0.00011095979,0.00017278583,0.00027500588,0.000029246921,0.000095351075,0.00026549352,0.00015197137,0.000019421264],"category_scores_gemma":[0.00014736617,0.00012290805,0.0001175741,0.00005419692,0.000024754783,0.001036463,0.000011796625,0.00038808948,0.000004034958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010478895,0.000037030157,0.0002564533,0.00003853212,0.0003154924,6.9467944e-7,0.000096659125,0.9616362,0.00023985622,0.0024944146,0.006384143,0.02839576],"study_design_scores_gemma":[0.0021208995,0.000034460372,0.00053253333,0.00017896811,0.0000665709,0.0001379592,0.00032685968,0.9224379,0.014277399,0.01594979,0.043668482,0.0002681551],"about_ca_topic_score_codex":9.374289e-7,"about_ca_topic_score_gemma":0.0000033576257,"teacher_disagreement_score":0.54829156,"about_ca_system_score_codex":0.00040105102,"about_ca_system_score_gemma":0.00017126562,"threshold_uncertainty_score":0.5012045},"labels":[],"label_agreement":null},{"id":"W4409348919","doi":"10.1016/j.ijpe.2025.109625","title":"A divergent two-echelon spare part inventory system with lost sales and compound Poisson demand","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"University Research Board, American University of Beirut; Natural Sciences and Engineering Research Council of Canada; American University of Beirut","keywords":"Spare part; Lost sales; Operations management; Inventory theory; Business; Poisson distribution; Operations research; Inventory management; Computer science; Economics; Mathematics; Statistics","score_opus":0.01747827508939278,"score_gpt":0.22360148691880802,"score_spread":0.20612321182941523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409348919","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":[0.98075235,0.0003011378,0.0008435352,0.0064596077,0.0065457784,0.00018078655,0.000002786177,0.000023570963,0.0048904354],"genre_scores_gemma":[0.99600136,0.0001297577,0.00010446726,0.0005947889,0.0023462544,0.0000036082872,0.000012887909,0.000010653047,0.0007961989],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991578,0.0000122868105,0.0003977721,0.00018418202,0.00014540019,0.000102569924],"domain_scores_gemma":[0.99904025,0.000010760637,0.00049934606,0.00010312519,0.00033125107,0.000015270893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000451118,0.00012019358,0.00016889643,0.00040628554,0.000079417296,0.00024473245,0.0002170437,0.000024704696,0.000045861798],"category_scores_gemma":[0.000036123696,0.00010740786,0.00005238522,0.00007534619,0.00005756401,0.0008989973,0.00011890474,0.00009600602,0.000028902428],"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":[0.002105916,0.00074095355,0.43706155,0.0011549833,0.0033258249,0.00015873117,0.00045196907,0.06307177,0.00048953935,0.36651778,0.11225258,0.012668371],"study_design_scores_gemma":[0.004403929,0.000085364096,0.023167666,0.0013608653,0.000376972,0.00024321425,0.004673535,0.017592065,0.000818443,0.003983748,0.94271636,0.0005778373],"about_ca_topic_score_codex":0.000056202567,"about_ca_topic_score_gemma":0.00009194713,"teacher_disagreement_score":0.83046377,"about_ca_system_score_codex":0.00024904075,"about_ca_system_score_gemma":0.00003607948,"threshold_uncertainty_score":0.43799654},"labels":[],"label_agreement":null},{"id":"W4410218079","doi":"10.1016/j.ijpe.2025.109635","title":"win–win contract farming in dual-channel agribusiness supply chains under yield, quality, and price uncertainty","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Blueberry Council; University Canada West; University of Victoria; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Agribusiness; Yield (engineering); Supply chain; Dual (grammatical number); Quality (philosophy); Contract farming; Business; Industrial organization; Agriculture; Microeconomics; Economics; Production (economics); Marketing","score_opus":0.037889911655572414,"score_gpt":0.27862431521747394,"score_spread":0.2407344035619015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410218079","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":[0.94883305,0.00015102571,0.0013779437,0.040222783,0.006411357,0.00019947306,0.0000035950954,0.000018084094,0.0027826754],"genre_scores_gemma":[0.99331564,0.00024472643,0.00004757758,0.0035471567,0.0020955033,0.000005671682,0.00001197552,0.000011527243,0.0007202329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986918,0.000017977747,0.00072695635,0.00024076136,0.00015789749,0.00016463139],"domain_scores_gemma":[0.9987807,0.00006088883,0.0006018369,0.000118150194,0.0004240654,0.000014319788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011505163,0.00014663556,0.0002411433,0.00076176814,0.00006527092,0.0002796758,0.00020247755,0.000055031593,0.00008508551],"category_scores_gemma":[0.0003404788,0.00014796125,0.00007777847,0.000176768,0.000054715747,0.0013696521,0.00015879291,0.0001862299,0.000007960054],"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":[0.0014919521,0.0013887751,0.1274519,0.0004933533,0.0014576775,0.00011352299,0.0008406414,0.29909948,0.0024052558,0.5049944,0.016813494,0.043449555],"study_design_scores_gemma":[0.0067784195,0.000057794685,0.644414,0.001139376,0.00019007394,0.00017943849,0.0063640885,0.037320208,0.00091216626,0.086603545,0.21487424,0.0011666287],"about_ca_topic_score_codex":0.0004159837,"about_ca_topic_score_gemma":0.0003526395,"teacher_disagreement_score":0.5169621,"about_ca_system_score_codex":0.00026880682,"about_ca_system_score_gemma":0.000058195263,"threshold_uncertainty_score":0.6033685},"labels":[],"label_agreement":null},{"id":"W4411968000","doi":"10.1016/j.ijpe.2025.109726","title":"Forecasting and managing price volatility in salmon production: A hybrid system using conformal prediction and dynamic hedging","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Fish Ecology and Management Studies","field":"Environmental Science","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":"","keywords":"Volatility (finance); Economics; Econometrics; Production (economics); Dynamic pricing; Computer science; Microeconomics","score_opus":0.010262570505745113,"score_gpt":0.22230778748068142,"score_spread":0.2120452169749363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411968000","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":[0.992903,0.00004956341,0.0017923556,0.0019133857,0.0021485435,0.00013788414,0.0000014076353,0.000009266888,0.0010445996],"genre_scores_gemma":[0.99858963,0.00015731405,0.0009628198,0.00004847883,0.00010856985,0.000002642219,0.0000010304747,0.0000034434095,0.00012609556],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992595,0.00002398498,0.00037657312,0.00018522191,0.00006205773,0.00009266579],"domain_scores_gemma":[0.99960095,0.000017679451,0.00027368817,0.000053004995,0.000036798076,0.000017855466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006933928,0.0000729669,0.00011787136,0.0001790694,0.000112336274,0.000035499183,0.000077332676,0.000020548823,0.000008090147],"category_scores_gemma":[0.00010369443,0.00007790845,0.000017686112,0.00006113376,0.000090608024,0.0008041872,0.00014461193,0.000115076415,5.0907954e-7],"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":[0.0002187088,0.000061374085,0.90354687,0.00011106028,0.00019566994,0.0000139138765,0.0005754117,0.073707595,0.00026791054,0.0003552203,0.00036087775,0.020585405],"study_design_scores_gemma":[0.0005646081,0.000041257652,0.46353298,0.00021298573,0.000047755668,0.0007456001,0.0016018918,0.53046215,0.00029723404,0.0014840887,0.00088927796,0.00012014192],"about_ca_topic_score_codex":0.000020839947,"about_ca_topic_score_gemma":0.00010789838,"teacher_disagreement_score":0.4567546,"about_ca_system_score_codex":0.00054515444,"about_ca_system_score_gemma":0.000012524888,"threshold_uncertainty_score":0.31770143},"labels":[],"label_agreement":null},{"id":"W4412867174","doi":"10.1016/j.ijpe.2025.109696","title":"Optimal hour-ahead commitment and storage decisions of wind power producers","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Business; Environmental economics; Wind power; Power (physics); Operations research; Operations management; Computer science; Environmental science; Microeconomics; Economics; Mathematics; Electrical engineering","score_opus":0.010963604441312632,"score_gpt":0.2331485780717375,"score_spread":0.22218497363042486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412867174","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":[0.9844977,0.00025362385,0.0045644734,0.0018503655,0.0074756783,0.0000776025,0.0000057370066,0.000014481238,0.0012603012],"genre_scores_gemma":[0.9957722,0.0004869173,0.003079458,0.000040596235,0.00032118446,0.0000015376748,0.0000015555167,0.00001092634,0.0002856317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926764,0.000012162954,0.00043967273,0.000109635046,0.00009564529,0.000075228425],"domain_scores_gemma":[0.99945456,0.000037014794,0.00015225504,0.00013162513,0.0001913191,0.000033209944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026542434,0.000086759355,0.00014843598,0.00034517492,0.000019948307,0.000031162162,0.00019535434,0.00002820725,0.000027530032],"category_scores_gemma":[0.00012141809,0.00009008934,0.000055283243,0.000058308076,0.00003944002,0.00025453945,0.000055978104,0.00010965277,0.0000021708265],"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":[0.000049997238,0.000052158874,0.0012136815,0.0000071334393,0.00045439682,0.0000027635149,0.00013264752,0.9827749,0.0007934555,0.001527809,0.0067518004,0.00623927],"study_design_scores_gemma":[0.0043848976,0.00053382065,0.17189045,0.0009574981,0.00036219924,0.0005389153,0.0023336185,0.04890885,0.086627446,0.003943585,0.67850727,0.001011424],"about_ca_topic_score_codex":0.0000024960545,"about_ca_topic_score_gemma":0.0000038906746,"teacher_disagreement_score":0.933866,"about_ca_system_score_codex":0.00024464366,"about_ca_system_score_gemma":0.00003661843,"threshold_uncertainty_score":0.36737368},"labels":[],"label_agreement":null},{"id":"W4414348536","doi":"10.1016/j.ijpe.2026.110102","title":"Horizontal Collaboration in Multi-Firm, Multi-Echelon Supply Chain Networks","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Supply chain management; Chain (unit); Work (physics); Context (archaeology)","score_opus":0.02108614942933946,"score_gpt":0.2790980735077846,"score_spread":0.25801192407844514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414348536","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":[0.8866264,0.0003007831,0.05469071,0.03853817,0.018249212,0.0004712783,0.000006026705,0.000040371047,0.0010770423],"genre_scores_gemma":[0.99404633,0.00024967882,0.0019768928,0.0010704399,0.0018917184,0.000008894346,0.000030222647,0.000011445365,0.0007143571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882287,0.000022672202,0.0006950243,0.00020128899,0.00012143757,0.00013669659],"domain_scores_gemma":[0.9989002,0.000020650534,0.0005081617,0.000112748916,0.0004486952,0.000009558023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037304,0.00012199702,0.00018884672,0.0007700898,0.00005859125,0.0002937215,0.00034000937,0.00006606032,0.00005745851],"category_scores_gemma":[0.00023202071,0.00013081824,0.00008023469,0.00026408912,0.00003485866,0.001713382,0.00010324235,0.0002037671,0.000022665356],"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":[0.0013950457,0.0021687462,0.22519992,0.0001580501,0.0007895334,0.00006585921,0.00063674315,0.5376818,0.0008088592,0.11663108,0.025585547,0.088878766],"study_design_scores_gemma":[0.0069018337,0.000054141445,0.12975408,0.00034581326,0.00010491683,0.000029433806,0.0037734963,0.38707247,0.0007100628,0.005984438,0.46464434,0.00062495907],"about_ca_topic_score_codex":0.00014620516,"about_ca_topic_score_gemma":0.0013022084,"teacher_disagreement_score":0.4390588,"about_ca_system_score_codex":0.0003302761,"about_ca_system_score_gemma":0.00006203924,"threshold_uncertainty_score":0.53346133},"labels":[],"label_agreement":null},{"id":"W4415062445","doi":"10.1016/j.ijpe.2025.109825","title":"Bridging ethical culture and competitiveness in supply chains: Applying resource orchestration theory","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Manitoba","keywords":"Supply chain; Sustainability; Orchestration; Resource (disambiguation); Supply chain management; Flexibility (engineering); Resource dependence theory; Bridging (networking)","score_opus":0.009402671797577894,"score_gpt":0.2382123678076892,"score_spread":0.2288096960101113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415062445","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":[0.8948818,0.00027150227,0.029898502,0.060744137,0.0036017552,0.0003631079,0.000002419779,0.00004160694,0.010195211],"genre_scores_gemma":[0.9950172,0.00010038171,0.00027386256,0.0021266623,0.0016964265,0.000006294833,0.00001012542,0.00000805126,0.00076103606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918896,0.000031760916,0.00039739016,0.00017223494,0.00011196472,0.00009770499],"domain_scores_gemma":[0.9993855,0.00004091247,0.0002929607,0.00007303831,0.0001999281,0.000007689187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001513349,0.00009482196,0.00014797042,0.00052430487,0.00006779332,0.0002504656,0.00019141327,0.00006986601,0.000018952634],"category_scores_gemma":[0.0002914617,0.0000941412,0.000047234458,0.00011645683,0.000053198353,0.00056051946,0.00008763908,0.00034228453,0.0000034628488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059982896,0.00018438985,0.12509334,0.00019441893,0.00028452018,0.000033344528,0.0009862068,0.068544924,0.00076676946,0.6512342,0.0018625548,0.15021552],"study_design_scores_gemma":[0.0040752473,0.00004501212,0.13190304,0.0016171314,0.00015636972,0.00014445817,0.011113597,0.05803295,0.0011207543,0.08789635,0.70317054,0.0007245621],"about_ca_topic_score_codex":0.000025762749,"about_ca_topic_score_gemma":0.000031976815,"teacher_disagreement_score":0.70130795,"about_ca_system_score_codex":0.00012188232,"about_ca_system_score_gemma":0.000030140962,"threshold_uncertainty_score":0.38389665},"labels":[],"label_agreement":null},{"id":"W4416418979","doi":"10.1016/j.ijpe.2025.109861","title":"Platform-led or firm-led? An analysis of artificial intelligence development strategies in agricultural supply chains","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Foundation of Zhejiang Province; National Social Science Fund of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Zhejiang Gongshang University","keywords":"Agriculture; Yield (engineering); Supply chain; Applications of artificial intelligence; Agricultural development; Development (topology)","score_opus":0.03422767782914313,"score_gpt":0.2752720945689822,"score_spread":0.2410444167398391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416418979","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":[0.9919143,0.000022240782,0.0024023417,0.0017362348,0.0026217233,0.000121292585,0.0000021299518,0.0000107633,0.0011689978],"genre_scores_gemma":[0.99794483,0.000044003475,0.0006767983,0.00020901447,0.00074478355,0.0000056375716,0.000039781222,0.0000055231576,0.0003296131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985496,0.000010017002,0.00095509307,0.00019149217,0.00016867324,0.00012515193],"domain_scores_gemma":[0.9987477,0.00002085499,0.0006620698,0.000108723536,0.00044915028,0.00001148635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006187309,0.00012751887,0.00027404792,0.0016258113,0.000046326244,0.00023389248,0.00042820242,0.000040941173,0.00028100613],"category_scores_gemma":[0.00010225197,0.0001049803,0.000117340416,0.00053373206,0.00004264355,0.002020414,0.0000874854,0.0001124049,0.000007549101],"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":[0.0013201168,0.0012288631,0.042498022,0.00012328739,0.0036313753,0.000022169068,0.001694548,0.4758601,0.00090918806,0.3650112,0.00096616696,0.10673499],"study_design_scores_gemma":[0.0016268023,0.00017567193,0.63887614,0.0005287493,0.0012599414,0.00002720195,0.07305744,0.17991412,0.011986377,0.036502663,0.05484245,0.001202455],"about_ca_topic_score_codex":0.00008785097,"about_ca_topic_score_gemma":0.0019436243,"teacher_disagreement_score":0.5963781,"about_ca_system_score_codex":0.00025812225,"about_ca_system_score_gemma":0.00011937386,"threshold_uncertainty_score":0.42809725},"labels":[],"label_agreement":null},{"id":"W562756340","doi":"10.1016/j.ijpe.2015.04.010","title":"Coordination and competition in a common retailer channel: Wholesale price versus revenue-sharing mechanisms","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stackelberg competition; Revenue sharing; Newsvendor model; Supply chain; Channel coordination; Microeconomics; Competition (biology); Business; Product (mathematics); Channel (broadcasting); Revenue; Game theory; Industrial organization; Supply chain management; Economics; Marketing; Computer science","score_opus":0.046290122912920575,"score_gpt":0.2504363624147898,"score_spread":0.20414623950186922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W562756340","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":[0.9811536,0.00005649795,0.00077850244,0.00844697,0.0070897723,0.00013761841,0.0000019135452,0.000014362091,0.0023207539],"genre_scores_gemma":[0.9973708,0.000047484,0.0001849022,0.00031065647,0.0018006616,0.0000042241636,0.000015544945,0.000011751412,0.00025397397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992517,0.000009625732,0.00036260157,0.00014555852,0.00014347742,0.00008702517],"domain_scores_gemma":[0.99913317,0.000009459253,0.000469989,0.00007749842,0.00029434395,0.000015563717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008540711,0.00008050651,0.00012740903,0.00043337644,0.000028524573,0.00016018757,0.00018946466,0.000030924035,0.000022890068],"category_scores_gemma":[0.000116164694,0.000089062974,0.00003300758,0.00008613818,0.000022126376,0.0015522575,0.00010482414,0.00010791086,0.00002129689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004143872,0.0011366984,0.04501574,0.00029661428,0.0006945257,0.00011052457,0.0020865044,0.06769242,0.0016424005,0.81952417,0.03000722,0.027649295],"study_design_scores_gemma":[0.015377614,0.00030747958,0.023037894,0.0006526305,0.00016054147,0.00019972635,0.0072146542,0.10226471,0.0016818793,0.45302224,0.3950361,0.0010445201],"about_ca_topic_score_codex":0.000060915685,"about_ca_topic_score_gemma":0.00010907926,"teacher_disagreement_score":0.36650193,"about_ca_system_score_codex":0.00023957837,"about_ca_system_score_gemma":0.000016183922,"threshold_uncertainty_score":0.36318827},"labels":[],"label_agreement":null},{"id":"W7083332257","doi":"10.1016/j.ijpe.2025.109799","title":"Sustainable life cycle management of batteries in a closed-loop supply chain under hierarchical cost-sharing contracts and carbon policies","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Supply chain management; Product life-cycle management; Supply chain risk management; Carbon fibers; Life-cycle assessment","score_opus":0.012134176659108358,"score_gpt":0.23083306193211584,"score_spread":0.2186988852730075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083332257","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":[0.97769034,0.001187937,0.00009821368,0.012165333,0.0013315397,0.00019705834,0.000016787126,0.000005126795,0.0073076747],"genre_scores_gemma":[0.99437994,0.0029370177,0.00033530543,0.0003045686,0.00021271288,0.00000931924,0.000004891465,0.000009511659,0.0018067306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99851733,0.0000120934565,0.0010032702,0.00025074385,0.000030220199,0.00018635878],"domain_scores_gemma":[0.9989763,0.00004131395,0.0006637154,0.00013141234,0.00012878797,0.0000584894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007497864,0.00012307992,0.0003707319,0.00061660924,0.00003255977,0.00009578662,0.00029565598,0.000070185924,0.000021474922],"category_scores_gemma":[0.00009503539,0.00013835845,0.00008045372,0.000095497475,0.00007827965,0.0004583665,0.00014368091,0.00018312516,0.0000017751656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004740602,0.00029469852,0.08795338,0.00012221267,0.0008922482,0.000016506665,0.0006679936,0.009565732,0.000095114025,0.89596385,0.00044849058,0.0035057068],"study_design_scores_gemma":[0.00399132,0.00018246376,0.5741252,0.0003080751,0.00005000077,0.00009699446,0.004973753,0.0021833987,0.0015558016,0.39033538,0.02168418,0.0005134783],"about_ca_topic_score_codex":0.00017056118,"about_ca_topic_score_gemma":0.00006705336,"teacher_disagreement_score":0.50562847,"about_ca_system_score_codex":0.00027891144,"about_ca_system_score_gemma":0.000046248297,"threshold_uncertainty_score":0.56420934},"labels":[],"label_agreement":null},{"id":"W831506228","doi":"10.1016/j.ijpe.2015.06.028","title":"Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Upgrade; Computer science; Key (lock); Software; Decision analysis; Decision model; Risk analysis (engineering); Process management; Knowledge management; Software engineering; Business; Computer security; Economics","score_opus":0.06042362768357253,"score_gpt":0.3046082604375258,"score_spread":0.24418463275395327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W831506228","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":[0.68782026,0.0020449618,0.30768347,0.0008682694,0.0012035741,0.00017367031,0.00013750825,0.0000252488,0.00004300876],"genre_scores_gemma":[0.84671664,0.014462746,0.1364057,0.00010071629,0.0008533235,0.000022846772,0.0001831325,0.00003794275,0.0012169722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983574,0.000024237226,0.000996152,0.0003787222,0.0000817774,0.000161676],"domain_scores_gemma":[0.99797744,0.000062160994,0.0011119569,0.00015989684,0.0004947712,0.00019376467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010388873,0.00017965815,0.0004910119,0.0011254839,0.00011000358,0.00023899287,0.00030117773,0.00009153406,0.000025964273],"category_scores_gemma":[0.0008572165,0.0001813015,0.00034590624,0.00018902984,0.00007222638,0.0012685284,0.00006219706,0.0002102982,0.000007766938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057194027,0.0003552003,0.073522724,0.00001018519,0.0029424438,0.0000044264293,0.005730265,0.83817667,0.000015289193,0.052298035,0.0012470597,0.025125757],"study_design_scores_gemma":[0.0014327267,0.00030192372,0.003500269,0.000042931613,0.00041289083,0.00006239831,0.0021166573,0.8089214,0.00016407002,0.17888038,0.0037282077,0.0004361636],"about_ca_topic_score_codex":0.00010126331,"about_ca_topic_score_gemma":0.00011715006,"teacher_disagreement_score":0.17127778,"about_ca_system_score_codex":0.0005139751,"about_ca_system_score_gemma":0.00009643183,"threshold_uncertainty_score":0.73932606},"labels":[],"label_agreement":null},{"id":"W947918510","doi":"10.1016/j.ijpe.2015.07.017","title":"A dynamic pricing strategy for a 3PL provider with heterogeneous customers","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dynamic pricing; Business; Computer science; Operations management; Process management; Marketing; Economics","score_opus":0.03422867838161514,"score_gpt":0.23449009473960697,"score_spread":0.20026141635799183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W947918510","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":[0.8678044,0.00038436882,0.12441334,0.00055711105,0.0056747016,0.0002549586,0.000030669653,0.000064715976,0.00081570604],"genre_scores_gemma":[0.99377805,0.00009476069,0.0054771127,0.000024928173,0.00045769813,0.000004502462,0.000009093,0.00002464585,0.00012920747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940187,0.000004131651,0.00031587057,0.0000901999,0.00008799815,0.00009991974],"domain_scores_gemma":[0.99935824,0.000010591037,0.00013836788,0.00006602407,0.00035534447,0.00007143986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001457125,0.00009162905,0.00012592689,0.0001384614,0.000013272508,0.00004096507,0.00014227006,0.00003315436,0.0000049115265],"category_scores_gemma":[0.000022236944,0.00008168028,0.000051890358,0.000029941599,0.000030506768,0.00025573262,0.0000037623358,0.00009807376,0.0000033412712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015805612,0.00002756909,0.0003191357,0.000013766566,0.0002547648,0.000011895719,0.00017239731,0.9933861,0.00015904407,0.00033328673,0.00042576308,0.0047382354],"study_design_scores_gemma":[0.0089719435,0.0021967588,0.0018390788,0.00025525125,0.00045045427,0.007829175,0.0016425856,0.77723676,0.019388294,0.0100940885,0.16855523,0.0015403633],"about_ca_topic_score_codex":0.0000022884992,"about_ca_topic_score_gemma":0.00003661431,"teacher_disagreement_score":0.21614932,"about_ca_system_score_codex":0.00030088535,"about_ca_system_score_gemma":0.00009402433,"threshold_uncertainty_score":0.33308253},"labels":[],"label_agreement":null}]}