{"meta":{"query_hash":"e904ae2d2c6c","filters":{"venue":"Journal of Industrial and Management Optimization"},"cohort_total":32,"direct_labels_cover":0,"predictions_cover":32,"exported":32,"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/e904ae2d2c6c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Industrial+and+Management+Optimization"},"results":[{"id":"W1966702992","doi":"10.3934/jimo.2010.6.411","title":"Nonsmooth generalized complementarity asunconstrained optimization","year":2010,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","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":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monotonic function; Complementarity (molecular biology); Differentiable function; Mathematics; Generalization; Complementarity theory; Mathematical optimization; Property (philosophy); Applied mathematics; Pure mathematics; Mathematical economics; Mathematical analysis; Physics","score_opus":0.08803819120453164,"score_gpt":0.3480262621901413,"score_spread":0.25998807098560966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966702992","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":[0.003050931,0.000013149434,0.9924667,0.0009858422,0.00071641157,0.00061404466,0.000010175124,0.000037348622,0.0021054214],"genre_scores_gemma":[0.0055212863,0.00043130145,0.99304175,0.00009595355,0.00043771538,0.0000112180705,0.000034481778,0.000030752737,0.0003955156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981696,0.00011069864,0.0007724514,0.00018677434,0.0005304766,0.0002300152],"domain_scores_gemma":[0.99846584,0.00013190076,0.0006367907,0.00018312724,0.00042178066,0.00016058987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097001484,0.00018140233,0.0003095697,0.0003836077,0.00018337985,0.00013243343,0.0002079221,0.00014190887,0.00084450975],"category_scores_gemma":[0.00040699905,0.00015908145,0.00007563572,0.00039741825,0.00010061249,0.00051472307,0.00011109294,0.0004416917,9.2747064e-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":[0.00021039559,0.00025090724,0.00032569584,0.0000397322,0.00018829363,0.000020855477,0.00008591225,0.9548134,0.00006468504,0.02534689,0.0043921177,0.014261103],"study_design_scores_gemma":[0.0123765925,0.00034890318,0.000039231414,0.0001198676,0.00030595963,0.00010612739,0.00046834204,0.9710048,0.00026537012,0.0074166115,0.007065829,0.00048241077],"about_ca_topic_score_codex":0.0000060629072,"about_ca_topic_score_gemma":0.000008422502,"teacher_disagreement_score":0.017930279,"about_ca_system_score_codex":0.00006262301,"about_ca_system_score_gemma":0.00006950336,"threshold_uncertainty_score":0.9246789},"labels":[],"label_agreement":null},{"id":"W1972168423","doi":"10.3934/jimo.2008.4.125","title":"Canonical dual approach to solving 0-1 quadratic programming problems","year":2008,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":66,"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":"Dual polyhedron; Duality gap; Dual (grammatical number); Duality (order theory); Convexity; Mathematics; Canonical transformation; Quadratic programming; Convex analysis; Strong duality; Canonical form; Mathematical optimization; Wolfe duality; Perturbation function; Minification; Linear programming; Transformation (genetics); Convex optimization; Regular polygon; Weak duality; Optimization problem; Combinatorics; Pure mathematics","score_opus":0.052705500801123906,"score_gpt":0.2373011241684848,"score_spread":0.1845956233673609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972168423","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":[0.0006941997,0.000031387957,0.9958247,0.001434345,0.00019456577,0.0002696392,3.3406585e-7,0.000024163966,0.0015266972],"genre_scores_gemma":[0.08390217,0.00027671666,0.91468555,0.000305786,0.00029304245,0.000014645616,0.0000069816438,0.000009356129,0.0005057539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986934,0.000068105765,0.0004961014,0.00018201744,0.0004068054,0.00015358385],"domain_scores_gemma":[0.99921256,0.00002677916,0.00030078087,0.000115092334,0.00020360856,0.00014119058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046796107,0.00010722103,0.00019291238,0.00033446154,0.00019682672,0.00018013305,0.00022611058,0.000061196464,0.0000086795035],"category_scores_gemma":[0.00006505828,0.00008833646,0.000061916275,0.00075805065,0.00001943941,0.00062742614,0.00013152955,0.00012026857,0.0000014499776],"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":[0.0000148515,0.00016207212,0.0002856895,0.000011882151,0.00009476121,0.000010242164,0.00046505875,0.9753165,0.000002760181,0.014687128,0.0013779998,0.0075710164],"study_design_scores_gemma":[0.0015175131,0.00023015619,0.00025204266,0.00006426351,0.00008438945,0.00012934337,0.00011466654,0.99268806,0.000009788727,0.00012587455,0.0045721103,0.00021182133],"about_ca_topic_score_codex":0.000008232802,"about_ca_topic_score_gemma":8.215861e-7,"teacher_disagreement_score":0.08320798,"about_ca_system_score_codex":0.000049456867,"about_ca_system_score_gemma":0.00007254021,"threshold_uncertainty_score":0.36022565},"labels":[],"label_agreement":null},{"id":"W2053079299","doi":"10.3934/jimo.2010.6.299","title":"A practical trial-and-error implementation of marginal-cost pricing on networks","year":2010,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Mathematical optimization; Observable; Mathematics","score_opus":0.06236035134081435,"score_gpt":0.3661185663224827,"score_spread":0.30375821498166833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053079299","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":[0.368237,0.00004626174,0.6097505,0.010192132,0.0037252707,0.002707192,0.0000092102755,0.000050390558,0.005282016],"genre_scores_gemma":[0.96708125,0.0012135837,0.03078008,0.00010097835,0.0006446791,0.000010366844,0.000021196434,0.000010960276,0.00013688442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9989593,0.00009809727,0.0004327309,0.00009416891,0.0002983946,0.00011731074],"domain_scores_gemma":[0.9990548,0.00010234731,0.00057879725,0.000045727367,0.0001406611,0.00007768508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011820314,0.0000722366,0.00014332656,0.00018918145,0.00016971448,0.000068280984,0.000048797352,0.000106865715,0.00007371434],"category_scores_gemma":[0.00011592571,0.00006431747,0.00003203968,0.0002218099,0.00005839196,0.00034073638,0.000008288106,0.00020825032,1.685521e-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":[0.010697567,0.00041169496,0.011160268,0.00004620531,0.00026315244,0.00002568588,0.0044321963,0.77331847,0.000022204224,0.08329068,0.0062024193,0.11012944],"study_design_scores_gemma":[0.37784228,0.011394243,0.043678794,0.0019790565,0.0047923503,0.000084700136,0.11936185,0.27839285,0.00061261456,0.0014374901,0.15757656,0.0028472021],"about_ca_topic_score_codex":0.00006571299,"about_ca_topic_score_gemma":0.00006217828,"teacher_disagreement_score":0.5988443,"about_ca_system_score_codex":0.00001830388,"about_ca_system_score_gemma":0.000062860534,"threshold_uncertainty_score":0.26227903},"labels":[],"label_agreement":null},{"id":"W2072594160","doi":"10.3934/jimo.2008.4.199","title":"Competition with open source as a public good","year":2008,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Competition (biology); Open source; Business; Computer science; Biology; Ecology","score_opus":0.052874333087348666,"score_gpt":0.24700151707574944,"score_spread":0.1941271839884008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072594160","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":[0.00655197,0.0000124,0.9803761,0.0048910733,0.0001745125,0.00033898573,4.6448747e-7,0.000030657902,0.0076238117],"genre_scores_gemma":[0.4807103,0.0003608867,0.51477945,0.0011650582,0.00038319768,0.000020528332,0.000014223557,0.000025594778,0.0025407749],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990077,0.000060913284,0.00033327026,0.00014291459,0.00033147648,0.00012370649],"domain_scores_gemma":[0.99903,0.00002909506,0.00042033548,0.00016361252,0.0002797385,0.00007722318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042006528,0.00009201389,0.00015115872,0.0002636487,0.0002416212,0.00047472888,0.000609798,0.00005013253,0.000031451702],"category_scores_gemma":[0.0000426905,0.000073109426,0.000021799624,0.00077562005,0.00004276795,0.0018818468,0.0003331168,0.00014595903,0.0000035320022],"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":[0.00030486606,0.00087275985,0.010621672,0.000030460835,0.00057903456,0.00031437032,0.0013814769,0.3292642,0.000011581893,0.5178824,0.01720214,0.12153502],"study_design_scores_gemma":[0.049124766,0.008467789,0.0063146497,0.0015563526,0.0004557533,0.0074484227,0.0027783473,0.19132972,0.00035738858,0.006225265,0.72345155,0.0024899947],"about_ca_topic_score_codex":0.0000112894595,"about_ca_topic_score_gemma":0.0000012371761,"teacher_disagreement_score":0.7062494,"about_ca_system_score_codex":0.000042391952,"about_ca_system_score_gemma":0.0000953428,"threshold_uncertainty_score":0.45778215},"labels":[],"label_agreement":null},{"id":"W2315384942","doi":"10.3934/jimo.2015.11.763","title":"Stability of a cyclic polling system with an adaptive mechanism","year":2014,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polling; Polling system; Queue; Computer science; Moment (physics); Computer network; Limit (mathematics); Queue management system; Stability (learning theory); Mechanism (biology); Distributed computing; Real-time computing; Mathematics; Physics","score_opus":0.02778302263092815,"score_gpt":0.21280667309057294,"score_spread":0.18502365045964478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315384942","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":[0.109030046,0.000011221229,0.8883464,0.0001150292,0.00016310265,0.00022031296,7.283005e-7,0.000026928226,0.0020862508],"genre_scores_gemma":[0.9866643,0.000011666592,0.012730083,0.000054022617,0.00051150005,0.000002459801,0.0000032960286,0.000013298052,0.000009388163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989975,0.000053006093,0.00043712568,0.00014029151,0.00025943934,0.00011262438],"domain_scores_gemma":[0.99859774,0.000031954838,0.00096728944,0.0001305635,0.00025360877,0.000018832365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011245045,0.0001194906,0.00028000047,0.0003116615,0.00009589985,0.00007639583,0.00012806348,0.000054838147,0.000018122508],"category_scores_gemma":[0.000059517133,0.000090826754,0.000049099137,0.00038638545,0.0000361526,0.0011243076,0.000055971643,0.00010492119,5.6039767e-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":[0.0011441045,0.00010329942,0.00043521237,0.000146923,0.00020197754,0.000005975448,0.000038200153,0.5147803,0.00006310279,0.4772764,0.000013462461,0.005791056],"study_design_scores_gemma":[0.004548702,0.000667426,0.00008596177,0.00082027435,0.0012497933,0.000010323072,0.005212503,0.97836226,0.00042309365,0.007925825,0.0003222882,0.0003715239],"about_ca_topic_score_codex":0.000029957506,"about_ca_topic_score_gemma":0.000006483795,"teacher_disagreement_score":0.8776342,"about_ca_system_score_codex":0.000036417438,"about_ca_system_score_gemma":0.0000075148964,"threshold_uncertainty_score":0.37038076},"labels":[],"label_agreement":null},{"id":"W2315426537","doi":"10.3934/jimo.2013.9.153","title":"Proximal point algorithm for nonlinear complementarity problem based on the generalized Fischer-Burmeister merit function","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nonlinear complementarity problem; Monotone polygon; Complementarity (molecular biology); Mathematics; Mathematical optimization; Nonlinear system; Function (biology); Convergence (economics); Point (geometry); Algorithm; Complementarity theory; Applied mathematics; Computer science","score_opus":0.11975807756597052,"score_gpt":0.33815403403588506,"score_spread":0.21839595646991455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315426537","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":[0.00025309905,0.000021619302,0.99435383,0.0028423325,0.00035055008,0.0016532063,0.000024795885,0.000019128689,0.000481456],"genre_scores_gemma":[0.0006632369,0.00007048997,0.9973057,0.00043895683,0.00087905244,0.00009602493,0.00005620153,0.00003314472,0.0004571981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832886,0.00017317741,0.00059282134,0.00013991256,0.00048510288,0.00028012498],"domain_scores_gemma":[0.9986909,0.00024055348,0.00051293685,0.00015168377,0.0002955057,0.00010841535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016388788,0.0001702926,0.00023899366,0.00018682361,0.00022572227,0.000096084645,0.00014028575,0.00008791531,0.0002420176],"category_scores_gemma":[0.00015844402,0.0001148137,0.000097773656,0.00023170859,0.000044591394,0.00040459118,0.000063512314,0.00023935753,9.496312e-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":[0.0034117424,0.003335011,0.0005034473,0.00037268363,0.0012005696,0.000008108216,0.00047147617,0.62174594,0.000044310545,0.04264548,0.082583174,0.24367803],"study_design_scores_gemma":[0.005914161,0.0006423856,0.000012192778,0.00010615555,0.00022421562,0.000005324111,0.00027358925,0.9668429,0.00015795369,0.0017391286,0.023895508,0.00018647045],"about_ca_topic_score_codex":0.0000021117232,"about_ca_topic_score_gemma":6.2042295e-7,"teacher_disagreement_score":0.34509695,"about_ca_system_score_codex":0.000106593805,"about_ca_system_score_gemma":0.00003162183,"threshold_uncertainty_score":0.4681967},"labels":[],"label_agreement":null},{"id":"W2315773907","doi":"10.3934/jimo.2016002","title":"Consumption-portfolio optimization and filtering in a hidden Markov-modulated asset price model","year":2016,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Portfolio optimization; Portfolio; Computer science; Hidden Markov model; Asset (computer security); Consumption (sociology); Markov chain; Markov model; Econometrics; Financial economics; Artificial intelligence; Economics; Machine learning; Computer security","score_opus":0.045556809903543896,"score_gpt":0.22933510934883586,"score_spread":0.18377829944529195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315773907","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":[0.010547216,0.0002319778,0.9875,0.0005894291,0.00011079057,0.00022513111,0.00002668111,0.000008051464,0.0007607015],"genre_scores_gemma":[0.74744654,0.011039316,0.24042656,0.00017089646,0.00026964958,0.000048582748,0.000029449493,0.000036671234,0.0005323383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990738,0.000004568273,0.00059295184,0.00016583447,0.000043673957,0.000119196244],"domain_scores_gemma":[0.9992956,0.0000245176,0.0005021142,0.00007340864,0.00005079267,0.000053593678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003439317,0.00009207921,0.00020860272,0.00032670572,0.00005373204,0.00005254538,0.00007405355,0.00008778269,0.000047683243],"category_scores_gemma":[0.00007097292,0.0000812572,0.000021979882,0.0002209964,0.000026676362,0.00038188684,0.000052065545,0.000069377646,0.0000016691172],"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":[0.0002450671,0.00019857692,0.008526945,0.000089029876,0.0001262032,0.000011417147,0.0001661889,0.8220541,0.000038564445,0.1425788,0.00096242165,0.025002722],"study_design_scores_gemma":[0.0044985893,0.00012282595,0.0028627329,0.00029386595,0.000041180694,0.000021511003,0.000043158187,0.969659,0.000010961004,0.021413531,0.0007308881,0.00030175934],"about_ca_topic_score_codex":0.0000069618695,"about_ca_topic_score_gemma":0.0000011717628,"teacher_disagreement_score":0.7470735,"about_ca_system_score_codex":0.00005550649,"about_ca_system_score_gemma":0.000013920606,"threshold_uncertainty_score":0.33135727},"labels":[],"label_agreement":null},{"id":"W2329210871","doi":"10.3934/jimo.2014.10.41","title":"Catastrophe equity put options understochastic volatility and catastrophe-dependent jumps","year":2013,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","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":"Toronto Metropolitan University","funders":"","keywords":"Stochastic volatility; Valuation of options; Equity (law); Heston model; Monte Carlo method; Volatility (finance); Economics; Applied mathematics; Econometrics; Mathematical economics; SABR volatility model; Mathematics; Computer science; Statistics","score_opus":0.053792854418880945,"score_gpt":0.23669715903447344,"score_spread":0.18290430461559248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329210871","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":[0.007565807,0.0005877548,0.9889906,0.0011691832,0.00027797924,0.0004385902,0.00004787986,0.000010835319,0.00091138616],"genre_scores_gemma":[0.9705053,0.0008767895,0.027995551,0.00009986797,0.00032525824,0.000047108013,0.00002618802,0.000016433978,0.000107525186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99890023,0.0000066267353,0.0006394121,0.0002077219,0.00007247113,0.00017355662],"domain_scores_gemma":[0.99907017,0.000027364982,0.00055873004,0.00012793794,0.00009485282,0.0001209321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034193086,0.00012395078,0.00025775682,0.00019007735,0.00016498084,0.00015838491,0.00013766761,0.00008586176,0.00011075456],"category_scores_gemma":[0.00008088765,0.00012410092,0.000042986812,0.00020418297,0.00006704752,0.00042494142,0.00014826312,0.0001632627,0.000013233968],"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":[0.00011518255,0.00038575334,0.0022642512,0.00011879201,0.00027503102,0.0000059827266,0.00025767897,0.034891885,0.000023682313,0.92676085,0.002445952,0.03245495],"study_design_scores_gemma":[0.013483573,0.0017815664,0.019631924,0.00039824133,0.00059671764,0.00016818862,0.0028246727,0.43043533,0.000049627386,0.5230252,0.0059726276,0.0016323257],"about_ca_topic_score_codex":0.00012441969,"about_ca_topic_score_gemma":0.000003939936,"teacher_disagreement_score":0.9629395,"about_ca_system_score_codex":0.00007553383,"about_ca_system_score_gemma":0.000019564719,"threshold_uncertainty_score":0.5060688},"labels":[],"label_agreement":null},{"id":"W2330629943","doi":"10.3934/jimo.2007.3.29","title":"Taking market forces into account in the design of production-distribution networks: A positioning by anticipation approach","year":2007,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Vendor; Anticipation (artificial intelligence); Production (economics); Computer science; Monte Carlo method; Sample (material); Operations research; Mathematical optimization; Function (biology); Distribution (mathematics); Industrial organization; Microeconomics; Econometrics; Economics; Business; Marketing; Mathematics; Statistics","score_opus":0.039158149951296475,"score_gpt":0.24622216348158682,"score_spread":0.20706401353029036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330629943","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":[0.017628962,0.000104751394,0.97858137,0.0008424114,0.00048372187,0.0007223237,8.5106007e-7,0.000011858396,0.0016237531],"genre_scores_gemma":[0.99485856,0.00034105597,0.0039038963,0.00020564176,0.00053332373,0.000013183517,0.00009250412,0.000008254309,0.000043560125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854875,0.000053726053,0.00071089616,0.00015018525,0.00037307202,0.00016337444],"domain_scores_gemma":[0.9990012,0.000030730913,0.0006370739,0.0001027352,0.00021840307,0.000009847738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038996811,0.00012241265,0.00016376658,0.00032443443,0.00016053572,0.00014644022,0.0001679019,0.000069506525,0.00003558853],"category_scores_gemma":[0.00017167263,0.00009573065,0.000041817402,0.00084557594,0.000039433875,0.0010832892,0.00005186496,0.00013507235,3.3314794e-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":[0.00030406434,0.00020348918,0.0018620229,0.0001242605,0.000054713662,0.0000017534603,0.00014278876,0.97059095,0.00001416031,0.0029284782,0.010259985,0.013513305],"study_design_scores_gemma":[0.0020151834,0.00009105619,0.0073308246,0.00031458275,0.00030580413,0.000005187037,0.004957432,0.979749,0.000029561941,0.00038508943,0.004537807,0.0002784558],"about_ca_topic_score_codex":0.00016859738,"about_ca_topic_score_gemma":0.000014127515,"teacher_disagreement_score":0.9772296,"about_ca_system_score_codex":0.000059672264,"about_ca_system_score_gemma":0.0000081232865,"threshold_uncertainty_score":0.39037827},"labels":[],"label_agreement":null},{"id":"W2333656335","doi":"10.3934/jimo.2012.8.909","title":"G/M/1 type structure of a risk model with general claim sizes in a Markovian environment","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ruin theory; First-hitting-time model; Markov process; Phase-type distribution; Type (biology); Mathematics; Applied mathematics; Distribution (mathematics); Markov chain; Risk model; State space; Matrix (chemical analysis); Markovian arrival process; Penalty method; Mathematical optimization; Mathematical economics; Mathematical analysis; Statistics","score_opus":0.07342353380177624,"score_gpt":0.2903975264689039,"score_spread":0.21697399266712764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333656335","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":[0.81495845,0.00018119712,0.18386528,0.0002606664,0.0001981486,0.00025588303,0.00001147228,0.0000023659538,0.0002665262],"genre_scores_gemma":[0.9398253,0.00077971123,0.05913152,0.000025395237,0.00011613654,6.6222344e-7,0.0000016663982,0.000004808739,0.00011477406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984542,0.00014283229,0.00057614764,0.00011542812,0.0005799105,0.00013149745],"domain_scores_gemma":[0.99905056,0.0000753178,0.00058457424,0.00013627527,0.00007658796,0.000076677796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012804092,0.000089471374,0.00023048025,0.00026044273,0.000042885866,0.00003969982,0.0001631613,0.00008746332,0.00006978626],"category_scores_gemma":[0.00014453442,0.00005316049,0.000035877012,0.00028683434,0.00005247176,0.00049442874,0.00007164543,0.00016360235,4.2308082e-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":[0.0004695836,0.00008563468,0.01744883,0.0000035620378,0.000028962897,0.0000011737516,0.00031908724,0.9683255,0.000016847747,0.0007554885,0.00026160313,0.012283733],"study_design_scores_gemma":[0.0058918935,0.0005972939,0.012090347,0.00012680587,0.00024325514,0.000020147309,0.0009203227,0.95877486,0.00021629136,0.019746365,0.0010731801,0.00029923505],"about_ca_topic_score_codex":0.000011212408,"about_ca_topic_score_gemma":0.000008164586,"teacher_disagreement_score":0.12486685,"about_ca_system_score_codex":0.000038578193,"about_ca_system_score_gemma":0.000026661603,"threshold_uncertainty_score":0.21678218},"labels":[],"label_agreement":null},{"id":"W2531539956","doi":"10.3934/jimo.2016070","title":"Stability of a queue with discriminatory random order service discipline and heterogeneous servers","year":2016,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Server; Computer science; Service (business); Queue; Class (philosophy); Queueing theory; Poisson distribution; Stability (learning theory); Order (exchange); Computer network; Distributed computing; Mathematics; Statistics; Business; Artificial intelligence; Marketing","score_opus":0.021995928908178582,"score_gpt":0.2183483132544103,"score_spread":0.1963523843462317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531539956","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":[0.82083136,0.00008537947,0.17494099,0.0029958896,0.00018560584,0.0004277298,0.0000041198323,0.000023113671,0.0005057955],"genre_scores_gemma":[0.99688494,0.00017899202,0.002448031,0.0001730202,0.00024403751,0.0000040496393,0.0000041425924,0.000015838288,0.000046954898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990924,0.00003249813,0.000400263,0.00015031622,0.00021122703,0.00011327764],"domain_scores_gemma":[0.9988335,0.00005453106,0.00064685295,0.00011659558,0.00032824563,0.00002028903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005848918,0.00013051585,0.00027062104,0.00021244331,0.00007784547,0.000055489927,0.00010036131,0.000048516726,0.00006525394],"category_scores_gemma":[0.0000874023,0.0000762152,0.00003812787,0.00038235355,0.00007423802,0.0010012876,0.00012474648,0.00006482002,4.192074e-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":[0.017376835,0.00079056027,0.033844486,0.0015493255,0.0020512785,0.00010104883,0.00046287125,0.8470966,0.0008483705,0.016955212,0.00040979366,0.07851359],"study_design_scores_gemma":[0.2963668,0.0032905503,0.009807005,0.0152782565,0.026952425,0.00029222752,0.022500148,0.53754187,0.0068448074,0.04642645,0.027678687,0.0070207505],"about_ca_topic_score_codex":0.00002220258,"about_ca_topic_score_gemma":0.000037132104,"teacher_disagreement_score":0.30955473,"about_ca_system_score_codex":0.000024787223,"about_ca_system_score_gemma":0.000011133758,"threshold_uncertainty_score":0.31079656},"labels":[],"label_agreement":null},{"id":"W2811061659","doi":"10.3934/jimo.2018107","title":"An interior point continuous path-following trajectory for linear programming","year":2018,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ode; Trajectory; Path (computing); Ordinary differential equation; Interior point method; Mathematics; Descent (aeronautics); Convergence (economics); Computer science; Mathematical optimization; Applied mathematics; Mathematical analysis; Differential equation","score_opus":0.07256755066339415,"score_gpt":0.36273675370633346,"score_spread":0.2901692030429393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811061659","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":[0.008520347,0.00002606106,0.98965377,0.000197068,0.00056773314,0.00084175786,0.0000030181227,0.000033826072,0.00015644309],"genre_scores_gemma":[0.01915994,0.000099134595,0.9792639,0.000050614282,0.0010771377,0.000026316347,0.000009573195,0.00003819553,0.00027517986],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870336,0.000077059434,0.0005584499,0.00015919427,0.0002929605,0.0002089698],"domain_scores_gemma":[0.99886155,0.000090376,0.0004169911,0.00012432312,0.00039187333,0.00011488812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009781519,0.00013034373,0.00026211544,0.00024906802,0.00015195576,0.00010820614,0.00015281385,0.000097016484,0.00003525102],"category_scores_gemma":[0.00040187247,0.000111287416,0.00009207626,0.00021144398,0.000053866333,0.0005299081,0.00004490984,0.00014658237,4.758013e-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":[0.0030865718,0.0012820488,0.00070392096,0.00042445108,0.0013342925,0.00012616189,0.0031420349,0.12300972,0.00047889428,0.007800855,0.0063758,0.85223526],"study_design_scores_gemma":[0.021122707,0.008548304,0.00002866011,0.001315425,0.00081994437,0.0000820311,0.007341781,0.93291235,0.0018881467,0.00411818,0.020892248,0.00093024457],"about_ca_topic_score_codex":9.93118e-7,"about_ca_topic_score_gemma":8.631024e-7,"teacher_disagreement_score":0.851305,"about_ca_system_score_codex":0.00006594794,"about_ca_system_score_gemma":0.000033820692,"threshold_uncertainty_score":0.45381692},"labels":[],"label_agreement":null},{"id":"W2947554187","doi":"10.3934/jimo.2019055","title":"Differential equation approximation and enhancing control method for finding the PID gain of a quarter-car suspension model with state-dependent ODE","year":2019,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ode; PID controller; Suspension (topology); Quarter (Canadian coin); Differential (mechanical device); Ordinary differential equation; State (computer science); Control theory (sociology); Computer science; Control (management); Differential equation; State dependent; Mathematics; Applied mathematics; Mathematical economics; Mathematical analysis; Physics; Engineering; Control engineering; Temperature control; Algorithm; Artificial intelligence","score_opus":0.01878751383167509,"score_gpt":0.21972375049529583,"score_spread":0.20093623666362073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947554187","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":[0.095876,0.000028952612,0.90276605,0.00013004971,0.0002321624,0.00089009746,0.0000033739777,0.000014835786,0.000058494526],"genre_scores_gemma":[0.990653,0.00005197063,0.009121143,0.000009079588,0.00010001732,0.000013831261,0.0000044673216,0.000011779309,0.000034705026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991068,0.000056733672,0.00045203927,0.00008929183,0.00017617038,0.000118921496],"domain_scores_gemma":[0.99935275,0.00011252772,0.0003484198,0.000071899776,0.00009129262,0.000023132816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009031671,0.000105806335,0.00024621002,0.00017850385,0.00005950817,0.00003795234,0.00006207095,0.0001289988,0.0000031813593],"category_scores_gemma":[0.000025089808,0.000071398885,0.000032514334,0.00008947139,0.00001385865,0.00018862943,0.000012843568,0.0001574088,9.30579e-8],"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":[0.00058197556,0.000014173538,0.00007870638,0.00006106963,0.00016567996,5.1942584e-7,0.0001697782,0.9830751,0.004317274,0.0012451736,0.000030714855,0.010259842],"study_design_scores_gemma":[0.0053698807,0.00027887337,0.000011951659,0.00015056043,0.000169154,0.000005320091,0.0005042804,0.9896959,0.003511312,0.0002132791,0.000009976627,0.00007952383],"about_ca_topic_score_codex":0.0000044389008,"about_ca_topic_score_gemma":0.000004159576,"teacher_disagreement_score":0.894777,"about_ca_system_score_codex":0.000039914707,"about_ca_system_score_gemma":0.000011575354,"threshold_uncertainty_score":0.2911562},"labels":[],"label_agreement":null},{"id":"W2951260553","doi":"10.3934/jimo.2019049","title":"A stochastic model of contagion with different individual types","year":2019,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stochastic modelling; Emotional contagion; Duration (music); Econometrics; Epidemic model; Mathematical economics; Computer science; Economics; Mathematics; Psychology; Statistics; Sociology; Social psychology; Demography; Physics","score_opus":0.06554924076888881,"score_gpt":0.26917816414568824,"score_spread":0.20362892337679944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951260553","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":[0.051709026,0.00001997027,0.94760734,0.000072672745,0.0001116527,0.0002532477,0.0000076255537,0.000004459852,0.00021398219],"genre_scores_gemma":[0.94797605,0.000043468717,0.05173228,0.0000227314,0.000055499862,0.000003079539,0.0000032614207,0.0000118538255,0.00015179387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992207,0.000014687568,0.00032303503,0.00007481234,0.0002840424,0.00008268502],"domain_scores_gemma":[0.9992901,0.00010467951,0.00037772398,0.000059958562,0.00012285498,0.0000446997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016763617,0.000087620414,0.00023796644,0.000099449564,0.00001919103,0.000020867094,0.00007502797,0.00005283145,0.000026067191],"category_scores_gemma":[0.00009083593,0.000057134886,0.000024305253,0.00007817601,0.000015184153,0.00008598883,0.000037725684,0.00009661757,2.2381575e-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":[0.0010272947,0.00026093543,0.00006943783,0.00026940086,0.00038491318,0.0000044777107,0.00032592172,0.66459167,0.000030339015,0.32526803,0.0002916374,0.0074759447],"study_design_scores_gemma":[0.0058884067,0.0017366539,0.00001931699,0.00075950223,0.00083260186,0.000018363646,0.00043912733,0.922394,0.000099530145,0.067608185,0.000009280255,0.00019503986],"about_ca_topic_score_codex":5.7920903e-7,"about_ca_topic_score_gemma":4.335983e-7,"teacher_disagreement_score":0.896267,"about_ca_system_score_codex":0.000018677845,"about_ca_system_score_gemma":0.000029872417,"threshold_uncertainty_score":0.23298931},"labels":[],"label_agreement":null},{"id":"W2955620234","doi":"10.3934/jimo.2016074","title":"Double well potential function and its optimization in the &lt;inline-formula&gt;&lt;tex-math id=\"M1\"&gt;\\begin{document}$N$\\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt; -dimensional real space-part Ⅱ","year":2016,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":12,"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":"Mathematics; Invertible matrix; Function (biology); Norm (philosophy); Global optimization; Convex function; Infinity; Regular polygon; Uniform norm; Combinatorics; Applied mathematics; Pure mathematics; Mathematical optimization; Mathematical analysis; Geometry","score_opus":0.0356104538255751,"score_gpt":0.29101752573029965,"score_spread":0.25540707190472456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955620234","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":[0.075237505,0.0009851094,0.8986858,0.010517564,0.0034778623,0.0065880697,0.00011516398,0.00028787128,0.0041050427],"genre_scores_gemma":[0.29750392,0.06637308,0.58613586,0.0013711125,0.009574494,0.0006976504,0.0015480499,0.00093810586,0.035857726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934049,0.00044068007,0.0021578367,0.0008067579,0.0022676783,0.00092210487],"domain_scores_gemma":[0.99596786,0.00039020943,0.0017617104,0.00056521286,0.0009258942,0.0003890976],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003101553,0.0007667296,0.00090361334,0.0011197918,0.00060039875,0.0005376699,0.0005770033,0.0005468994,0.0005067937],"category_scores_gemma":[0.00038833555,0.0005332805,0.00023349916,0.0011505111,0.00018001845,0.0028427027,0.00047306003,0.00065947603,0.000024555047],"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":[0.0023702658,0.0007064345,0.00005835227,0.00016844849,0.00047434325,0.00010421704,0.00025252262,0.9154465,0.00035506903,0.06294751,0.008149287,0.008967044],"study_design_scores_gemma":[0.030509444,0.0015261155,0.00010614302,0.00112309,0.0009605785,0.00026058103,0.00043402953,0.93063,0.00036425408,0.0058977962,0.026903594,0.0012843476],"about_ca_topic_score_codex":0.000008957845,"about_ca_topic_score_gemma":0.000018745344,"teacher_disagreement_score":0.31254998,"about_ca_system_score_codex":0.00050491374,"about_ca_system_score_gemma":0.00022393782,"threshold_uncertainty_score":0.9997119},"labels":[],"label_agreement":null},{"id":"W3012832013","doi":"10.3934/jimo.2020064","title":"Extension of Littlewood's rule to the multi-period static revenue management model with standby customers","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Revenue management; Extension (predicate logic); Monotonic function; Function (biology); Period (music); Waiting period; Mathematical economics; Computer science; Microeconomics; Mathematical optimization; Economics; Mathematics; Operations research; Business; Finance","score_opus":0.05333290726611097,"score_gpt":0.23045026480704905,"score_spread":0.17711735754093808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012832013","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":[0.055855017,0.00032396897,0.8830803,0.04493741,0.0013792694,0.0044699307,0.000032355263,0.00009470407,0.009827055],"genre_scores_gemma":[0.90980446,0.0010352285,0.07270582,0.0124276215,0.001859425,0.0000705602,0.00004826097,0.00011927992,0.0019293659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984187,0.000026989812,0.0005717441,0.00023409135,0.00053577934,0.00021268801],"domain_scores_gemma":[0.99896246,0.000011191569,0.0005963346,0.00018340981,0.00019428483,0.000052294818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058106927,0.00019999327,0.00029171404,0.00032300942,0.00014013684,0.00017341034,0.00029474078,0.00004782803,0.000048562],"category_scores_gemma":[0.00004447478,0.00013543993,0.0000713265,0.0006750926,0.000048438364,0.000607726,0.00025800994,0.0001526543,0.000007240626],"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":[0.0006826673,0.00014015655,0.0002625112,0.00033248155,0.00025802886,0.000040459956,0.00032061126,0.9503626,0.000018734887,0.0040447135,0.027626807,0.015910191],"study_design_scores_gemma":[0.008447001,0.00038664628,0.0002630892,0.0008306949,0.001212557,0.000005560917,0.0069812653,0.82606786,0.0000469015,0.00018568072,0.15505785,0.00051488663],"about_ca_topic_score_codex":0.0000112962025,"about_ca_topic_score_gemma":0.0000030820981,"teacher_disagreement_score":0.8539494,"about_ca_system_score_codex":0.000041699055,"about_ca_system_score_gemma":0.000014216836,"threshold_uncertainty_score":0.552308},"labels":[],"label_agreement":null},{"id":"W3122995933","doi":"10.3934/jimo.2021145","title":"Optimal per-loss reinsurance and investment to minimize the probability of drawdown","year":2021,"lang":"en","type":"preprint","venue":"Journal of Industrial and Management Optimization","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Reinsurance; Drawdown (hydrology); Actuarial science; Investment (military); Asset (computer security); Shock (circulatory); Investment strategy; Economics; Value (mathematics); Econometrics; Microeconomics; Finance; Mathematics; Statistics; Computer science; Market liquidity; Engineering","score_opus":0.04559092460972542,"score_gpt":0.22510247207704778,"score_spread":0.17951154746732237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122995933","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":[0.72541034,0.005981876,0.24746953,0.0078863725,0.0034102525,0.0029937213,0.00014095422,0.000018719666,0.006688256],"genre_scores_gemma":[0.81435317,0.028792422,0.15360351,0.001175066,0.0010183355,0.00014582583,0.000048441587,0.00006230263,0.00080093223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9978827,0.000058225145,0.001330536,0.0003872168,0.00014280542,0.00019850674],"domain_scores_gemma":[0.99791133,0.00003620075,0.0014595854,0.0003347465,0.00017045246,0.00008770887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014265242,0.00023716378,0.0007038677,0.00027977556,0.000112234586,0.00019459116,0.000294987,0.0002042716,0.00003743842],"category_scores_gemma":[0.00016043651,0.00020364294,0.00015162858,0.00024359472,0.00010887124,0.00020441154,0.0006069524,0.00038640245,0.0000012844998],"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":[0.0005149731,0.00036899184,0.0141712865,0.00062736886,0.0006770265,0.000031613115,0.0018217436,0.9088564,0.0000023883588,0.05875012,0.0016755256,0.012502598],"study_design_scores_gemma":[0.04836892,0.0058392785,0.37983716,0.013588354,0.0037021257,0.00019975484,0.013831469,0.14627655,0.0007009051,0.11585065,0.26291272,0.008892135],"about_ca_topic_score_codex":0.00006861031,"about_ca_topic_score_gemma":0.0000036413742,"teacher_disagreement_score":0.7625798,"about_ca_system_score_codex":0.00010057838,"about_ca_system_score_gemma":0.000046341313,"threshold_uncertainty_score":0.8304318},"labels":[],"label_agreement":null},{"id":"W3161007778","doi":"10.3934/jimo.2021101","title":"Stochastic comparisons of series-parallel and parallel-series systems with dependence between components and also of subsystems","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","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":"McMaster University","funders":"","keywords":"Series (stratigraphy); Copula (linguistics); Stochastic ordering; Mathematics; Majorization; Series and parallel circuits; Population; Applied mathematics; Joint probability distribution; Computer science; Discrete mathematics; Statistics; Econometrics; Physics","score_opus":0.10322262171454726,"score_gpt":0.30727853080334333,"score_spread":0.20405590908879606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161007778","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":[0.025296051,0.00014549201,0.97358686,0.00041727273,0.00005007008,0.00031859617,0.00006913621,0.000006187643,0.00011031645],"genre_scores_gemma":[0.93928,0.00029010887,0.060234357,0.000005249501,0.000040042207,0.000009544723,0.000038022536,0.000007602174,0.00009511314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988965,0.00007421244,0.0006031706,0.00010206082,0.00024461167,0.000079466176],"domain_scores_gemma":[0.99875414,0.0001578993,0.0006342533,0.00008220827,0.00029461316,0.000076897966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023610813,0.00009693677,0.00036372326,0.00007214649,0.000068717876,0.000044793836,0.000051245985,0.00005752209,0.0000105702],"category_scores_gemma":[0.00010369473,0.000079072364,0.000018635337,0.0001432742,0.00010615735,0.0001809492,0.00004287418,0.000080671176,1.142859e-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":[0.00064815686,0.0003435788,0.007262143,0.0014105628,0.00080214813,0.00001869613,0.00031285538,0.24570908,0.00009207157,0.74047863,0.0021241754,0.00079792045],"study_design_scores_gemma":[0.060689855,0.006070093,0.10764221,0.017047796,0.010506151,0.0023431957,0.027675813,0.7221973,0.0010474641,0.0370101,0.004629079,0.0031409345],"about_ca_topic_score_codex":0.00000978123,"about_ca_topic_score_gemma":0.0000026412656,"teacher_disagreement_score":0.9139839,"about_ca_system_score_codex":0.000015123946,"about_ca_system_score_gemma":0.000027327442,"threshold_uncertainty_score":0.32244775},"labels":[],"label_agreement":null},{"id":"W3178051994","doi":"10.3934/jimo.2021116","title":"Approximation algorithm with constant ratio for stochastic prize-collecting Steiner tree problem","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Steiner tree problem; Stochastic optimization; Mathematical optimization; Computer science; Stochastic programming; Tree (set theory); Constant (computer programming); Approximation algorithm; Optimization problem; Mathematics; Combinatorics","score_opus":0.037908615113591684,"score_gpt":0.23958581426675862,"score_spread":0.20167719915316695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178051994","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":[0.0001067844,0.000061395156,0.9976434,0.00087568857,0.00028909242,0.0004782616,0.000002189646,0.000018776465,0.0005243724],"genre_scores_gemma":[0.0027520342,0.000059932623,0.996583,0.000066041765,0.0002120375,0.00002050331,0.00000842154,0.0000073649394,0.000290693],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990005,0.00005126873,0.0003771913,0.00017440764,0.0002624237,0.00013421466],"domain_scores_gemma":[0.99903595,0.000077750774,0.00037960967,0.0001055816,0.00034707223,0.00005404044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043128233,0.00010483885,0.0001798292,0.00017813426,0.00018599744,0.00028707224,0.00014619676,0.000048298345,0.000005188496],"category_scores_gemma":[0.000043257864,0.000083743354,0.000045282904,0.00051760057,0.000026746393,0.0005489747,0.00007761623,0.00011261917,9.702817e-8],"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":[0.00012505068,0.0002015902,0.000016113341,0.00007024975,0.00025758852,0.000033534463,0.00035088713,0.43794286,0.000032761596,0.056959353,0.00092320435,0.5030868],"study_design_scores_gemma":[0.0037147813,0.00041912936,0.0000062878794,0.00021809875,0.000084404324,0.00009060157,0.00025286153,0.9911386,0.0001752594,0.0032071776,0.0005502923,0.00014252562],"about_ca_topic_score_codex":0.0000010194474,"about_ca_topic_score_gemma":0.0000017318903,"teacher_disagreement_score":0.5531957,"about_ca_system_score_codex":0.000038799513,"about_ca_system_score_gemma":0.000097627686,"threshold_uncertainty_score":0.34149548},"labels":[],"label_agreement":null},{"id":"W3182509925","doi":"10.3934/jimo.2021122","title":"An exact algorithm for stable instances of the $ k $-means problem with penalties in fixed-dimensional Euclidean space","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mathematics; Combinatorics; Euclidean space; Space (punctuation); Euclidean geometry; Algorithm; Discrete mathematics; Computer science; Geometry","score_opus":0.026238456532048746,"score_gpt":0.22511582474490827,"score_spread":0.1988773682128595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182509925","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":[0.38485605,0.00063313177,0.5689312,0.02161295,0.003771077,0.005237473,0.000053258755,0.00008430391,0.014820525],"genre_scores_gemma":[0.78934264,0.0011028803,0.20205936,0.0018648441,0.001749355,0.00009173138,0.00017641981,0.00007978881,0.0035329978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886215,0.000029815135,0.00047438202,0.0001564355,0.0003345793,0.0001426131],"domain_scores_gemma":[0.99912584,0.00001617323,0.00034370137,0.00012968533,0.00037012977,0.000014455251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006328371,0.00011921494,0.00020127573,0.00021446524,0.00011399607,0.00011598658,0.0001496628,0.00004367068,0.000075962314],"category_scores_gemma":[0.000035729125,0.000082181905,0.000051418076,0.00055487704,0.00004105229,0.0009824642,0.000078647536,0.00009840894,3.1252299e-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":[0.00022118662,0.00032733043,0.0043137805,0.00023846293,0.000117295334,0.000006608921,0.00008507238,0.9529146,0.000020622116,0.009378238,0.0027307624,0.029646052],"study_design_scores_gemma":[0.010529313,0.0003220297,0.006107659,0.0012037184,0.00053428276,0.000008201945,0.00713203,0.9114741,0.0003801251,0.001789457,0.059948437,0.0005706627],"about_ca_topic_score_codex":0.000111892696,"about_ca_topic_score_gemma":0.00031732384,"teacher_disagreement_score":0.4044866,"about_ca_system_score_codex":0.00003194792,"about_ca_system_score_gemma":0.00004586552,"threshold_uncertainty_score":0.3351281},"labels":[],"label_agreement":null},{"id":"W3202062948","doi":"10.3934/jimo.2021168","title":"Explicit results for the distribution of the number of customers served during a busy period for $M^X/PH/1$ queue","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Erlang (programming language); Erlang distribution; Mathematics; Queue; Poisson distribution; Exponential distribution; Discrete mathematics; Computation; Distribution (mathematics); Applied mathematics; Combinatorics; Computer science; Algorithm; Mathematical analysis; Statistics; Theoretical computer science","score_opus":0.02536153599640972,"score_gpt":0.24841290956322679,"score_spread":0.22305137356681706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202062948","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":[0.5944587,0.00016442705,0.39325786,0.007846825,0.0014309679,0.0018113733,0.000090451846,0.000022886023,0.0009165221],"genre_scores_gemma":[0.9971553,0.00014264365,0.0014615661,0.00007919303,0.00065846706,0.000022366292,0.000050317212,0.000014180669,0.00041593978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998968,0.000025811396,0.0005767727,0.000117754564,0.0001967634,0.000114915696],"domain_scores_gemma":[0.99808437,0.00010388836,0.0011127581,0.00015434822,0.0005364994,0.00000812926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007351519,0.00009969918,0.00021929736,0.000069262605,0.00020644181,0.00006779992,0.00016795775,0.000057741396,0.000010149573],"category_scores_gemma":[0.000539869,0.00006433897,0.00018371259,0.00049359683,0.000038875565,0.00043334658,0.00011107585,0.00008389763,1.3605069e-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":[0.0022152197,0.0001359725,0.0011079633,0.000383059,0.00056739274,0.0000022348204,0.00010573686,0.95663273,0.00022390393,0.033009034,0.0014544098,0.004162347],"study_design_scores_gemma":[0.06888091,0.00027577017,0.008868863,0.0044730743,0.013624198,0.00006589061,0.02827259,0.7484843,0.015721345,0.017236272,0.092415206,0.0016815398],"about_ca_topic_score_codex":0.000012867944,"about_ca_topic_score_gemma":0.0000055803575,"teacher_disagreement_score":0.40269664,"about_ca_system_score_codex":0.000033001597,"about_ca_system_score_gemma":0.000018722352,"threshold_uncertainty_score":0.2623667},"labels":[],"label_agreement":null},{"id":"W4285161686","doi":"10.3934/jimo.2022072","title":"Optimal pricing strategy in a dual-channel supply chain: A two-period game analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Stackelberg competition; Pricing strategies; Supply chain; Dual (grammatical number); Profit (economics); Microeconomics; Variable pricing; Dynamic pricing; Rational pricing; Channel (broadcasting); Economics; Business; Industrial organization; Computer science; Econometrics; Marketing; Capital asset pricing model","score_opus":0.0313276577683831,"score_gpt":0.23225910696026617,"score_spread":0.20093144919188305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285161686","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":[0.8434809,0.0009630504,0.09822352,0.011571629,0.004309233,0.004113596,0.000023490726,0.00020826899,0.0371063],"genre_scores_gemma":[0.9969189,0.00014717567,0.0005531128,0.0007390406,0.00089854386,0.00004957095,0.000056691955,0.00002683917,0.0006101211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979008,0.00006694143,0.0008012027,0.0002889967,0.0006189653,0.00032310098],"domain_scores_gemma":[0.99893683,0.000018209572,0.00075094047,0.00015884422,0.000103352366,0.00003183309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013928871,0.0002264467,0.00042250546,0.0023385496,0.00022811163,0.0003550021,0.00019978848,0.00005073087,0.00070401025],"category_scores_gemma":[0.0000332995,0.00022189035,0.00017097108,0.0023104695,0.000034040346,0.0010087268,0.0004492379,0.00033466963,0.0000023903062],"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":[0.0002724757,0.00021791487,0.0025231952,0.000042396485,0.00044194295,0.0002419156,0.00014287658,0.98748136,0.0000036850993,0.0033426036,0.0026221578,0.002667482],"study_design_scores_gemma":[0.0076487605,0.00022586358,0.0014123925,0.00008379084,0.0012948925,0.000027623728,0.008312577,0.9599301,0.0000033263339,0.00030839263,0.020270657,0.00048158196],"about_ca_topic_score_codex":0.00015278373,"about_ca_topic_score_gemma":0.000021714792,"teacher_disagreement_score":0.15343799,"about_ca_system_score_codex":0.00016136032,"about_ca_system_score_gemma":0.000023396226,"threshold_uncertainty_score":0.9048426},"labels":[],"label_agreement":null},{"id":"W4296502630","doi":"10.3934/jimo.2022176","title":"Optimal ordering policy and preservation technology for deteriorating items with maximum lifetime under a resilient hybrid payment decision","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Payment; Economic order quantity; Profit (economics); Cash; Present value; Trade credit; Cash flow; Computer science; Operations research; Net present value; Upstream (networking); Plan (archaeology); Time value of money; Business; Sensitivity (control systems); Economics; Operations management; Microeconomics; Finance; Marketing; Supply chain; Mathematics","score_opus":0.02465120344746107,"score_gpt":0.23424820708003757,"score_spread":0.2095970036325765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296502630","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":[0.46356407,0.00026656463,0.52087766,0.010606121,0.0009098172,0.002474147,0.000006886789,0.00008979113,0.001204928],"genre_scores_gemma":[0.9265659,0.0004954766,0.06644568,0.0022893602,0.0027700986,0.00037543423,0.00008936358,0.00010795531,0.0008607732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998588,0.00002015045,0.000511754,0.00024479383,0.0004037777,0.00023149411],"domain_scores_gemma":[0.9990259,0.00003806952,0.0006304678,0.0001252756,0.00015580573,0.000024479974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007583372,0.00017599137,0.0002261822,0.0010356933,0.00044893104,0.0003029189,0.00018038707,0.000042763837,0.000051303683],"category_scores_gemma":[0.00008752747,0.00015165395,0.000041648036,0.00061280373,0.00004184571,0.0009007249,0.00048821824,0.00015831112,3.852293e-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":[0.0011283237,0.00014847761,0.0017459996,0.00012101133,0.00015919811,0.000016390792,0.000048894926,0.93412906,0.000038881426,0.0102520725,0.0034070476,0.04880467],"study_design_scores_gemma":[0.016379252,0.0016419503,0.0005865898,0.0005327714,0.0006001611,0.000079295096,0.006804977,0.65579927,0.000076850934,0.0065231607,0.31013364,0.0008420689],"about_ca_topic_score_codex":0.00002632882,"about_ca_topic_score_gemma":0.000003127668,"teacher_disagreement_score":0.4630018,"about_ca_system_score_codex":0.00012796905,"about_ca_system_score_gemma":0.000028447655,"threshold_uncertainty_score":0.61842686},"labels":[],"label_agreement":null},{"id":"W4312971610","doi":"10.3934/jimo.2022189","title":"Quality investment strategies in a complementary supply chain with an unreliable supplier","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Supply chain; Quality (philosophy); Business; Investment (military); Industrial organization; Spillover effect; Product (mathematics); Supplier relationship management; Quality management; Investment strategy; Supply chain management; Microeconomics; Economics; Marketing; Finance","score_opus":0.04954854334891929,"score_gpt":0.25614917516642244,"score_spread":0.20660063181750316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312971610","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":[0.8320234,0.00047936224,0.033033248,0.016507668,0.0047026514,0.006721103,0.000054131677,0.00023005737,0.1062484],"genre_scores_gemma":[0.9833401,0.00018077795,0.0073386976,0.006840115,0.0011946247,0.00015447653,0.0003317115,0.000058877093,0.000560636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980732,0.00008998722,0.0006843401,0.00025140351,0.0006288439,0.0002721837],"domain_scores_gemma":[0.9990967,0.000020345464,0.0006005022,0.00017051745,0.0000792314,0.000032696997],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015613969,0.00020301243,0.00029656652,0.0007626399,0.0002621032,0.00032997975,0.00028545337,0.00003514507,0.0010018225],"category_scores_gemma":[0.000010307976,0.00017770253,0.000047077563,0.00065424235,0.00004967301,0.0017853167,0.00032465358,0.00025973623,0.0000016774743],"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":[0.0014562692,0.00082360004,0.018426258,0.0001457097,0.00018075731,0.000117578486,0.0002372649,0.817516,0.00000864525,0.13680021,0.019541338,0.004746321],"study_design_scores_gemma":[0.04003802,0.0023756956,0.010905807,0.00043452255,0.00065602874,0.000046345885,0.10937561,0.16698846,0.00001764564,0.016582498,0.65068984,0.0018895525],"about_ca_topic_score_codex":0.00043907785,"about_ca_topic_score_gemma":0.000103677856,"teacher_disagreement_score":0.6505276,"about_ca_system_score_codex":0.00016244668,"about_ca_system_score_gemma":0.00003945352,"threshold_uncertainty_score":0.99991137},"labels":[],"label_agreement":null},{"id":"W4319083709","doi":"10.3934/jimo.2023012","title":"Adaptive inertial subgradient extragradient methods for finding minimum-norm solutions of pseudomonotone variational inequalities","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council","keywords":"Subgradient method; Variational inequality; Monotonic function; Hilbert space; Lipschitz continuity; Inertial frame of reference; Mathematics; Convergence (economics); Applied mathematics; Norm (philosophy); Operator (biology); Iterative method; Mathematical optimization; Computer science; Mathematical analysis","score_opus":0.11797007526500378,"score_gpt":0.33201914576291347,"score_spread":0.2140490704979097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319083709","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":[0.0004419848,0.000053884884,0.9968492,0.0015541987,0.00060016406,0.00030452822,0.000012434532,0.000024919695,0.00015868439],"genre_scores_gemma":[0.059434343,0.00051443407,0.9391634,0.00007967259,0.0003334695,0.00003823681,0.000058225876,0.000011746851,0.00036650043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983655,0.00018851046,0.00077422237,0.00018001172,0.00030678118,0.0001849346],"domain_scores_gemma":[0.9982874,0.0003548197,0.00072965206,0.000113451846,0.00043412455,0.000080569116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020304671,0.00012364413,0.00027171482,0.00079856574,0.00018769271,0.000088523615,0.00024640723,0.000079683785,0.000017217668],"category_scores_gemma":[0.00023470269,0.000109188935,0.0001405024,0.0010784927,0.000032416116,0.0005583107,0.00013375598,0.0000852296,5.368084e-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":[0.00009435114,0.00009067789,0.00004106168,0.000016970447,0.00026624405,0.0000012678149,0.00053443055,0.7004427,0.00004208143,0.28298932,0.0010057449,0.01447518],"study_design_scores_gemma":[0.0017391365,0.00022537188,0.00018344434,0.000047640653,0.00014222033,0.000004172382,0.0002543391,0.99336666,0.000071876595,0.0031829488,0.00066258287,0.00011958336],"about_ca_topic_score_codex":0.000010657281,"about_ca_topic_score_gemma":0.0000012516854,"teacher_disagreement_score":0.29292402,"about_ca_system_score_codex":0.000066562054,"about_ca_system_score_gemma":0.000074933945,"threshold_uncertainty_score":0.44525954},"labels":[],"label_agreement":null},{"id":"W4380877137","doi":"10.3934/jimo.2023072","title":"Decision-making for substitutable products in a retailer dominant channel involving a third-party logistics provider","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Southwest University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Stackelberg competition; Outsourcing; Supply chain; Service provider; Business; Product (mathematics); Industrial organization; Supply chain management; Order (exchange); Microeconomics; Integrated logistics support; Game theory; Third party; Service (business); Production (economics); Channel (broadcasting); Marketing; Computer science; Economics; Process management","score_opus":0.07068397108508673,"score_gpt":0.2621922199014563,"score_spread":0.19150824881636958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380877137","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":[0.09906465,0.0019326488,0.8269301,0.01812497,0.02307845,0.014950231,0.00002110617,0.0004893363,0.015408516],"genre_scores_gemma":[0.9641069,0.0025064517,0.023154931,0.002047267,0.005922869,0.00025442627,0.000091685746,0.00012053813,0.0017948957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833786,0.000017416018,0.000700509,0.00026478033,0.0003545101,0.0003249021],"domain_scores_gemma":[0.99890023,0.00009255112,0.0005816108,0.00014438164,0.00026267453,0.000018529849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016960293,0.00018661053,0.00030215568,0.0010399682,0.00017335465,0.00034767223,0.00020719791,0.00009532099,0.000026283442],"category_scores_gemma":[0.0008193596,0.00015651235,0.000068190195,0.0011534469,0.0000385157,0.0012569466,0.00023226901,0.00015355556,0.0000072476346],"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":[0.0010156452,0.00022384156,0.0023490984,0.00097511563,0.0001509972,0.00012787625,0.00018524851,0.84315294,0.00002187381,0.017981822,0.117822655,0.015992884],"study_design_scores_gemma":[0.007871767,0.00014267376,0.00059642893,0.002186999,0.00037875303,0.0000067689125,0.00269531,0.83130705,0.000031151914,0.010004426,0.14418001,0.0005986601],"about_ca_topic_score_codex":0.00001599557,"about_ca_topic_score_gemma":0.000014496684,"teacher_disagreement_score":0.86504227,"about_ca_system_score_codex":0.000079566795,"about_ca_system_score_gemma":0.000029138393,"threshold_uncertainty_score":0.63823885},"labels":[],"label_agreement":null},{"id":"W4380987521","doi":"10.3934/jimo.2023071","title":"Price and service-level decisions and channel coordination under disruption of social welfare responsibility degree","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":3,"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":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; Nanjing University of Information Science and Technology; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Business; Supply chain; Service (business); Microeconomics; Revenue sharing; Revenue; Industrial organization; Social Welfare; Channel coordination; Payment; Channel (broadcasting); Bargaining power; Supply chain management; Marketing; Economics; Finance; Computer science","score_opus":0.09972575140345846,"score_gpt":0.28338109928166716,"score_spread":0.1836553478782087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380987521","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":[0.906577,0.00011242098,0.04454992,0.04473619,0.0008450669,0.0011796512,0.000012968262,0.0000690382,0.0019177241],"genre_scores_gemma":[0.99759656,0.00061070186,0.00073345914,0.0003353304,0.00041385638,0.000008310353,0.000032509564,0.000014684775,0.00025460773],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988227,0.00003176365,0.00046057798,0.00018929009,0.00034239783,0.00015326022],"domain_scores_gemma":[0.9990579,0.00006133049,0.000508081,0.00008165203,0.00026910892,0.000021921724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010462627,0.00013239811,0.00021587149,0.0006807924,0.00028742437,0.00015634902,0.00010323013,0.00009791261,0.000025805202],"category_scores_gemma":[0.00012066436,0.00010972841,0.00003811805,0.0009280731,0.000055358283,0.0009039982,0.00026393158,0.000106975145,0.0000012930724],"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":[0.003981262,0.000878684,0.019986728,0.0018956249,0.0009743303,0.00009067626,0.002038804,0.2946228,0.00022616098,0.22756219,0.03188191,0.41586083],"study_design_scores_gemma":[0.015442686,0.0003420106,0.54417324,0.00079191173,0.0013654366,0.00002221836,0.034969438,0.3543174,0.00003115633,0.01895463,0.02852695,0.0010629421],"about_ca_topic_score_codex":0.000038563434,"about_ca_topic_score_gemma":0.000022811262,"teacher_disagreement_score":0.5241865,"about_ca_system_score_codex":0.000026685886,"about_ca_system_score_gemma":0.000010172818,"threshold_uncertainty_score":0.4474595},"labels":[],"label_agreement":null},{"id":"W4381985256","doi":"10.3934/jimo.2023056","title":"Pseudomonotone variational inequality in action: Case of the French dairy industrial network dynamics","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","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":"Center for Interuniversity Research and Analysis on Organizations","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; York University; Arizona State University","keywords":"Disequilibrium; Variational inequality; Upstream (networking); Operator (biology); Synchronization (alternating current); Computer science; Mathematical optimization; Inequality; Path (computing); Fixed point; Point (geometry); Action (physics); Mathematical economics; Economics; Mathematics; Computer network; Physics","score_opus":0.08937952793300294,"score_gpt":0.2530643473828063,"score_spread":0.16368481944980337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381985256","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":[0.89351475,0.00015257476,0.09148266,0.0033976312,0.0061422046,0.0008368082,0.00016010254,0.00001983792,0.004293451],"genre_scores_gemma":[0.9967508,0.0006400107,0.001305174,0.000050159397,0.0007746778,0.0000073607625,0.000019696497,0.000011308114,0.00044085685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868745,0.000047903723,0.00095268065,0.00013210825,0.000043515432,0.00013635332],"domain_scores_gemma":[0.9987614,0.00006540191,0.00097203196,0.00012707664,0.000037698286,0.00003638885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015745482,0.0000887015,0.0002806952,0.00022793988,0.000083690094,0.000039473853,0.00012479868,0.00013950614,0.00006358788],"category_scores_gemma":[0.00009622158,0.00008069197,0.00007428103,0.0005323029,0.000035825047,0.0002658182,0.000104957915,0.00021029536,0.0000014652697],"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":[0.00007255039,0.00004417913,0.015510714,0.000012034811,0.00008449636,0.00001701052,0.00012001438,0.77396923,1.14900985e-7,0.20537154,0.0019458084,0.0028523053],"study_design_scores_gemma":[0.010034355,0.00025309782,0.0115663055,0.00021050648,0.000099050674,0.00013969667,0.0011284089,0.87278897,0.0000057312723,0.0981906,0.0051655215,0.000417763],"about_ca_topic_score_codex":0.00016661455,"about_ca_topic_score_gemma":0.00006818677,"teacher_disagreement_score":0.107180946,"about_ca_system_score_codex":0.000120251505,"about_ca_system_score_gemma":0.00002859511,"threshold_uncertainty_score":0.3290523},"labels":[],"label_agreement":null},{"id":"W4385061094","doi":"10.3934/jimo.2023094","title":"Variance estimation in high-dimensional linear regression via adaptive elastic-net","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Elastic net regularization; Parameterized complexity; Variance (accounting); Computer science; Regression; Range (aeronautics); Regularization (linguistics); Estimation theory; Polynomial regression; Linear regression; Mathematics; Regression analysis; Mathematical optimization; Algorithm; Statistics; Artificial intelligence; Machine learning","score_opus":0.030503252530282472,"score_gpt":0.25558883979221053,"score_spread":0.22508558726192807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385061094","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":[0.0064513646,0.000016983935,0.99062145,0.0022156446,0.00041393653,0.00018683386,8.7374036e-7,0.000026412881,0.00006647344],"genre_scores_gemma":[0.6312897,0.0004933518,0.36723998,0.00018310377,0.00042579262,0.000018818138,0.000022928838,0.000013091335,0.0003132502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915034,0.000048695976,0.00032328468,0.00013896749,0.00022531237,0.00011340681],"domain_scores_gemma":[0.999468,0.00005861575,0.0002631818,0.000093168324,0.00006718913,0.00004982872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003379991,0.000079680736,0.00012040331,0.00023353177,0.00007833456,0.00005224946,0.00016255438,0.000057217236,0.0000054292855],"category_scores_gemma":[0.000020836327,0.000062961626,0.000022068018,0.00076846726,0.000014357899,0.00046363426,0.00011638465,0.0001371221,0.000003912462],"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":[0.00003101266,0.00003075179,0.000048616963,0.0000029914493,0.00001079631,0.000014118082,0.00001786381,0.95097685,0.000013429949,0.008063083,0.0017156595,0.03907482],"study_design_scores_gemma":[0.00087331835,0.00009997656,0.0009193886,0.00012646655,0.000011661557,0.0000067605197,0.000007221328,0.995719,0.000021539412,0.0018945924,0.00025327614,0.00006681169],"about_ca_topic_score_codex":0.000005199693,"about_ca_topic_score_gemma":0.0000010918594,"teacher_disagreement_score":0.62483835,"about_ca_system_score_codex":0.000027466656,"about_ca_system_score_gemma":0.000016844926,"threshold_uncertainty_score":0.25675008},"labels":[],"label_agreement":null},{"id":"W4407552098","doi":"10.3934/jimo.2025030","title":"Site selection of medical waste disposal plants: A social network group decision-making framework with incomplete Pythagorean fuzzy preference relations","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pythagorean theorem; Group decision-making; Preference; Selection (genetic algorithm); Operations research; Site selection; Computer science; Group (periodic table); Fuzzy logic; Management science; Artificial intelligence; Mathematics; Microeconomics; Engineering; Psychology; Economics; Social psychology; Chemistry; Political science","score_opus":0.08513686768604142,"score_gpt":0.3625822918919075,"score_spread":0.27744542420586604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407552098","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":[0.10277586,0.000058819223,0.89433575,0.0008380915,0.00092420797,0.00032612734,0.000008708111,0.000014901393,0.00071753224],"genre_scores_gemma":[0.8706786,0.00013914857,0.12827013,0.00014489927,0.0006732837,0.0000055821506,0.000006165727,0.000012984858,0.00006919613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949835,0.0003592529,0.001617173,0.00033371453,0.0024738344,0.00023255807],"domain_scores_gemma":[0.995984,0.0018569452,0.0014079032,0.00019395667,0.00045655677,0.0001006437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004133144,0.00018939265,0.000499943,0.00085368135,0.00037528476,0.00036523477,0.0005626936,0.00030266983,0.00024504724],"category_scores_gemma":[0.0022511221,0.00013333003,0.00010328358,0.0018137757,0.00010106584,0.00061520183,0.00033485153,0.00050869276,0.000001953822],"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":[0.0031899544,0.00020626165,0.025542786,0.000021216065,0.00029486069,0.00003953025,0.0005407229,0.57776225,0.000007289208,0.02519918,0.01652157,0.3506744],"study_design_scores_gemma":[0.011197599,0.0010402428,0.027576128,0.0107160425,0.00061454007,0.00011265194,0.0036362966,0.82129717,0.000012831375,0.11519131,0.007846441,0.0007587403],"about_ca_topic_score_codex":0.000007969824,"about_ca_topic_score_gemma":0.00004141537,"teacher_disagreement_score":0.76790273,"about_ca_system_score_codex":0.000076930424,"about_ca_system_score_gemma":0.00011420038,"threshold_uncertainty_score":0.54370403},"labels":[],"label_agreement":null},{"id":"W4411244562","doi":"10.3934/jimo.2025085","title":"Price and quality optimization with the intertemporal reference price effect","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Shenzhen Research Institute, City University of Hong Kong; Shenzhen Research Institute of Big Data; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Reference price; Computer science; Quality (philosophy); Economics; Econometrics; Microeconomics","score_opus":0.038659201622746095,"score_gpt":0.2667586726500641,"score_spread":0.22809947102731798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411244562","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":[0.32112458,0.0006022034,0.60330266,0.010284088,0.0012906276,0.0020807972,0.000002123917,0.000096487565,0.06121645],"genre_scores_gemma":[0.99470264,0.00043064042,0.0030383451,0.0007955466,0.00034081726,0.000014679782,0.000013384305,0.000014985677,0.00064898346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914,0.000060656177,0.00034143068,0.00014200858,0.0001985883,0.000117299904],"domain_scores_gemma":[0.9991468,0.00009710599,0.00047190115,0.00010096486,0.00017072674,0.000012477357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011891575,0.00013402605,0.00019762306,0.00026894143,0.00019222578,0.00038118297,0.0001317395,0.00006150036,0.000035429624],"category_scores_gemma":[0.00008137688,0.00008189394,0.000027011414,0.00050582684,0.000048902544,0.0007703708,0.00014474122,0.00018947497,3.718467e-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":[0.0062875752,0.0003441773,0.28964847,0.0014763697,0.0009607691,0.000043849515,0.0002483032,0.37673625,0.00005773517,0.023580177,0.013746541,0.2868698],"study_design_scores_gemma":[0.0565762,0.0015419617,0.21251567,0.0071679424,0.009679074,0.00009001382,0.007158994,0.45207465,0.00016783462,0.0007445544,0.24899195,0.0032911457],"about_ca_topic_score_codex":0.00006888079,"about_ca_topic_score_gemma":0.000009974854,"teacher_disagreement_score":0.673578,"about_ca_system_score_codex":0.00002095169,"about_ca_system_score_gemma":0.000016122032,"threshold_uncertainty_score":0.36757562},"labels":[],"label_agreement":null},{"id":"W4413795156","doi":"10.3934/jimo.2025132","title":"Sustainable inventory models with reduction on environmental emission and ordering costs under the discount policy of prepayment","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial and Management Optimization","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Prepayment of loan; Reduction (mathematics); Environmental policy; Computable general equilibrium; Economics; Environmental economics; Natural resource economics; Finance; Microeconomics; Mathematics","score_opus":0.017223408949444817,"score_gpt":0.21764221899663255,"score_spread":0.20041881004718773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413795156","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":[0.8137006,0.001071793,0.078439936,0.02502562,0.001718581,0.0046752477,0.0000044847266,0.000073998126,0.075289704],"genre_scores_gemma":[0.9955687,0.0008301112,0.00022007235,0.0005305409,0.00041437964,0.00001554138,0.000009994032,0.000013633404,0.002397034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990224,0.000023710216,0.00035100587,0.00015351224,0.00029761382,0.00015171492],"domain_scores_gemma":[0.9993886,0.000011978868,0.00040779807,0.0001223599,0.00005316483,0.00001609404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047102358,0.00014054822,0.0001617789,0.00049367204,0.00019068824,0.00015132355,0.00011453742,0.000048487633,0.000022688519],"category_scores_gemma":[0.000012553025,0.00009188658,0.000034701858,0.00031935994,0.000082995364,0.00079071795,0.0001917487,0.000115497984,2.1569711e-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":[0.0010390314,0.0003431844,0.0011158471,0.00033070735,0.00035047918,0.000009367268,0.00016110785,0.7194386,0.000053530355,0.2545937,0.008112876,0.014451584],"study_design_scores_gemma":[0.03189121,0.0017212282,0.00349337,0.005961626,0.0030274116,0.000040561823,0.13286296,0.6195209,0.0008677634,0.033621542,0.16524798,0.0017434435],"about_ca_topic_score_codex":0.00011731143,"about_ca_topic_score_gemma":0.0000019019612,"teacher_disagreement_score":0.22097215,"about_ca_system_score_codex":0.00018055849,"about_ca_system_score_gemma":0.000024404508,"threshold_uncertainty_score":0.3747026},"labels":[],"label_agreement":null}]}