{"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07204594,0.0010583325,0.902495,0.00087008387,0.00013531394,0.000050339015,0.0001243716,0.000092436225,0.023128184],"genre_scores_gemma":[0.8558984,0.0010397988,0.11571394,0.0003880991,0.00014243812,0.00013316637,0.00019611858,0.000089172565,0.026398856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997062,0.00008814183,0.000008247243,0.000062848594,0.00008794074,0.000046551962],"domain_scores_gemma":[0.999845,0.000048264108,0.000028770852,0.000016023641,0.000040415955,0.000021572017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005115299,0.00094971055,0.00064295385,0.0003852825,0.00045627152,0.00096245465,0.0007775575,0.0010513945,0.0024791828],"category_scores_gemma":[0.00072130945,0.00022957282,0.0004769137,0.0005313658,0.0015662541,0.0011236159,0.0012438697,0.00083114835,0.00018844925],"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":[0.000045751724,0.000038910686,0.00036515822,0.000162793,0.000034807006,0.00025953472,0.00012305018,0.3598388,0.008510519,0.6086944,0.0023349407,0.01959128],"study_design_scores_gemma":[0.000007527377,0.000029987548,0.00017807381,0.000013559776,0.000007782337,0.000048867758,0.00003732772,0.8673364,0.0013855428,0.1269012,0.0040420364,0.000011694085],"about_ca_topic_score_codex":0.00314711,"about_ca_topic_score_gemma":0.003161469,"teacher_disagreement_score":0.00314711,"about_ca_system_score_codex":0.0013514613,"about_ca_system_score_gemma":0.00085367996,"threshold_uncertainty_score":0.00980556},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003546628,0.0003107673,0.98323774,0.00026106287,0.000105360516,0.000033995148,0.000031898893,0.00006132685,0.012411224],"genre_scores_gemma":[0.2606926,0.0019934291,0.7108202,0.0004094327,0.00049476605,0.0004922521,0.00022150858,0.00021018124,0.024665605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912864,0.00046538754,0.000022763947,0.00009402795,0.00020936271,0.000079780926],"domain_scores_gemma":[0.9996333,0.00012372294,0.000028801185,0.000037866896,0.00013675292,0.00003946816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015318218,0.0011308467,0.00065578474,0.00085898733,0.000616899,0.0016023101,0.0009282743,0.00080780184,0.0053988104],"category_scores_gemma":[0.0020902397,0.00044224778,0.0009338408,0.00084215513,0.0015775813,0.0014499582,0.002093993,0.0024732065,0.0012423925],"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":[0.000022701935,0.0000550614,0.00018371013,0.00008286231,0.000019870535,0.000054243486,0.00008957322,0.09324308,0.0010636216,0.8759496,0.0032032237,0.026032496],"study_design_scores_gemma":[0.000018156019,0.000060251416,0.00006731449,0.000022819535,0.000008579913,0.00007265913,0.00004596074,0.6865814,0.00094871636,0.3039422,0.00821633,0.00001566398],"about_ca_topic_score_codex":0.0014008965,"about_ca_topic_score_gemma":0.0018010812,"teacher_disagreement_score":0.0053988104,"about_ca_system_score_codex":0.00078856375,"about_ca_system_score_gemma":0.0016569211,"threshold_uncertainty_score":0.018060803},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058859163,0.00004476296,0.9925162,0.00012147948,0.000030001944,0.000035214653,0.000008268328,0.0001759259,0.0011821603],"genre_scores_gemma":[0.37879595,0.000099745186,0.61687285,0.00011358899,0.000058445454,0.0002535122,0.000042884734,0.0001697435,0.0035932593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975044,0.0013450707,0.0000822204,0.00024415477,0.0006232755,0.00020103497],"domain_scores_gemma":[0.99497956,0.003420537,0.00019789282,0.0006857361,0.0005855905,0.0001307646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004527028,0.0009776033,0.0017029397,0.00042175516,0.00082983624,0.0012485083,0.0032125562,0.002031107,0.0059195985],"category_scores_gemma":[0.014596742,0.0006635149,0.00055995374,0.00075581967,0.0021085085,0.0030755496,0.002471827,0.0027639975,0.0007181834],"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":[0.00038805234,0.00014131375,0.0004255232,0.0000875002,0.000044668617,0.00011337696,0.00012917246,0.84149265,0.0022506798,0.08138986,0.0012625838,0.07227459],"study_design_scores_gemma":[0.000025095336,0.000022754166,0.000016216292,0.0000034269883,0.0000029544995,0.000010024439,0.0000047491985,0.99103326,0.00050395454,0.008066737,0.0003050708,0.000005805259],"about_ca_topic_score_codex":0.004240377,"about_ca_topic_score_gemma":0.0029120883,"teacher_disagreement_score":0.0059195985,"about_ca_system_score_codex":0.0010548709,"about_ca_system_score_gemma":0.0018208564,"threshold_uncertainty_score":0.023941517},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17311256,0.0013793152,0.34925988,0.022493886,0.0003070724,0.00021819075,0.00026446063,0.00021309796,0.4527516],"genre_scores_gemma":[0.97457916,0.00037136456,0.008863811,0.0006271599,0.00015395076,0.00016771356,0.000044173892,0.00004074192,0.015151955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99339217,0.0032881473,0.00012550504,0.00072919787,0.0013240781,0.0011408498],"domain_scores_gemma":[0.9870566,0.008064429,0.0015715902,0.001333991,0.0010134068,0.00096001144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052550538,0.0006563847,0.0010938774,0.00094172684,0.0029769782,0.008055184,0.0013588713,0.0046245484,0.018381078],"category_scores_gemma":[0.015543794,0.00049623195,0.001175607,0.0010821435,0.0071117016,0.009727319,0.00478745,0.003104811,0.0009684717],"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":[0.000027433589,0.000036750727,0.00025538148,0.00003514198,0.000008396082,0.00006677685,0.000086638545,0.0082678385,0.0002559257,0.98704684,0.0011478877,0.0027650087],"study_design_scores_gemma":[0.00004513141,0.000039077466,0.00029691073,0.00002726234,0.000009280942,0.000061332605,0.00015447568,0.026515767,0.00023624177,0.96520954,0.007385852,0.00001915135],"about_ca_topic_score_codex":0.0027716258,"about_ca_topic_score_gemma":0.0027818705,"teacher_disagreement_score":0.018381078,"about_ca_system_score_codex":0.004988268,"about_ca_system_score_gemma":0.0041246717,"threshold_uncertainty_score":0.061490893},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6067097,0.00057451916,0.3828,0.00068973243,0.0001117842,0.00006920441,0.00014720249,0.0004333827,0.00846449],"genre_scores_gemma":[0.9947955,0.00009020112,0.003532169,0.000029440775,0.000018928671,0.000039362458,0.00002717353,0.000011090183,0.001456112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991014,0.00019131541,0.000040343053,0.00018663798,0.0002368767,0.00024340604],"domain_scores_gemma":[0.99688524,0.0013263841,0.00068541634,0.00015934752,0.0006590611,0.00028446998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012994516,0.0005502688,0.00076582923,0.00084689533,0.0008109095,0.0011632135,0.00127635,0.0010350903,0.0016527105],"category_scores_gemma":[0.004833803,0.00032807217,0.00051076326,0.0005920956,0.001601668,0.0008294533,0.0011273854,0.0006746999,0.0001878728],"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":[0.00034000474,0.00007721745,0.00373912,0.00009763268,0.00009896543,0.00056131853,0.0003312024,0.8762311,0.013998721,0.09363316,0.0011517118,0.009739855],"study_design_scores_gemma":[0.000011667882,0.000023995362,0.00025902316,0.0000028613943,0.000009534751,0.00002227552,0.000017574897,0.9940598,0.00022975028,0.005248017,0.00010647182,0.000009118746],"about_ca_topic_score_codex":0.012238368,"about_ca_topic_score_gemma":0.0028615869,"teacher_disagreement_score":0.012238368,"about_ca_system_score_codex":0.0014741366,"about_ca_system_score_gemma":0.0014261194,"threshold_uncertainty_score":0.024334311},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004271909,0.00017044912,0.99433494,0.000091151,0.000019147476,0.000020706044,0.0000072948446,0.00005750955,0.0010268557],"genre_scores_gemma":[0.255268,0.0008010163,0.734596,0.00013773503,0.00010771889,0.0003109352,0.00010029634,0.00012958012,0.008548783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995571,0.00016183426,0.000015336773,0.000065610075,0.00014856797,0.000051506293],"domain_scores_gemma":[0.99944514,0.00030027918,0.000046155044,0.00003397244,0.00014128414,0.000033127602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013870853,0.0007469612,0.0013586275,0.0007022096,0.00057884626,0.00078295777,0.0013365096,0.001670165,0.0025781046],"category_scores_gemma":[0.0022195892,0.00036935118,0.0007974751,0.0008551967,0.0010776022,0.0012766283,0.001254693,0.0017321374,0.00048566086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010743261,0.00004245131,0.00038779058,0.0001866905,0.000060174007,0.0000995357,0.00014476918,0.74272335,0.004336656,0.1647148,0.0019332384,0.085263036],"study_design_scores_gemma":[0.000015664096,0.00005632681,0.00008218828,0.000009868656,0.000008608802,0.00003221315,0.000008979055,0.9780171,0.0007855364,0.019612664,0.0013598668,0.000010970931],"about_ca_topic_score_codex":0.0028477232,"about_ca_topic_score_gemma":0.0022252272,"teacher_disagreement_score":0.0028477232,"about_ca_system_score_codex":0.00093563716,"about_ca_system_score_gemma":0.0021067946,"threshold_uncertainty_score":0.008624613},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10654044,0.00051973574,0.88832074,0.0010112074,0.00005347792,0.000034163026,0.00012963972,0.000086477354,0.0033041865],"genre_scores_gemma":[0.9588105,0.00050363364,0.03438904,0.00010054659,0.000075687145,0.0000879821,0.00014009752,0.0000261157,0.005866389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916077,0.0003614238,0.000038593367,0.00018922296,0.00013793624,0.00011208256],"domain_scores_gemma":[0.9965758,0.002624752,0.00040644055,0.00010715081,0.00017826623,0.000107541775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022564717,0.0008770633,0.0015364834,0.00045260222,0.0003381633,0.0014669319,0.0011598449,0.0020426004,0.0018235077],"category_scores_gemma":[0.006973398,0.0006688193,0.0009798855,0.0007208486,0.0013689864,0.0018228341,0.0010372028,0.0013658883,0.0001839885],"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":[0.00007008521,0.000045643956,0.001106012,0.000059062764,0.00007277964,0.00022330352,0.000065077686,0.8988151,0.00090641883,0.093085565,0.00032864776,0.0052223788],"study_design_scores_gemma":[0.000010129236,0.000011171836,0.000119716424,0.0000033510873,0.00000920406,0.0000074141226,0.0000036902907,0.98590994,0.00009416323,0.013751578,0.00007452384,0.000005139052],"about_ca_topic_score_codex":0.0064710295,"about_ca_topic_score_gemma":0.0030054543,"teacher_disagreement_score":0.0064710295,"about_ca_system_score_codex":0.0013486217,"about_ca_system_score_gemma":0.0010726516,"threshold_uncertainty_score":0.012866735},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5262696,0.00085317483,0.45420882,0.0012904658,0.0001423479,0.00006618927,0.0003197908,0.00016557476,0.016684067],"genre_scores_gemma":[0.99336034,0.00017529243,0.0039431597,0.000049036553,0.000050742405,0.000025745598,0.00005874249,0.000009735592,0.0023271092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996106,0.00012372746,0.000022251867,0.000065969354,0.00010552332,0.0000718234],"domain_scores_gemma":[0.99875593,0.0006626025,0.00022920863,0.00010217796,0.00015717518,0.00009289915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079363456,0.00053384877,0.0007237359,0.00048874755,0.00033048115,0.001102567,0.0009644994,0.0016501766,0.0017046648],"category_scores_gemma":[0.0040274826,0.000369429,0.00075411703,0.0004223154,0.0010151883,0.0023120057,0.0010226532,0.0015073976,0.000116941526],"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":[0.00006078888,0.0000520055,0.003571058,0.00007593156,0.000045961006,0.0009457088,0.00010362452,0.6143417,0.0032326693,0.37274212,0.00078381976,0.004044723],"study_design_scores_gemma":[0.000009388485,0.000021624312,0.00086294604,0.0000043369514,0.000009122517,0.00012275194,0.00001516577,0.9554217,0.00021876031,0.04300319,0.0002978351,0.000013189802],"about_ca_topic_score_codex":0.0020755306,"about_ca_topic_score_gemma":0.0010565112,"teacher_disagreement_score":0.0020755306,"about_ca_system_score_codex":0.00046920165,"about_ca_system_score_gemma":0.000490501,"threshold_uncertainty_score":0.0057026744},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006412086,0.00016346328,0.9902862,0.00019137037,0.000021051314,0.000031724303,0.000010325286,0.000034714798,0.0028490915],"genre_scores_gemma":[0.5226926,0.0012099658,0.47101006,0.00013938187,0.00012538012,0.0002715012,0.000048977032,0.00009879537,0.0044034016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993311,0.00030618891,0.000024698096,0.00009792473,0.00016256144,0.00007747148],"domain_scores_gemma":[0.9986583,0.0010104883,0.00014999013,0.00003317022,0.00008477635,0.000063213905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016470758,0.0011046139,0.0010339884,0.0009056359,0.00073057157,0.001469804,0.0009390908,0.0012298485,0.003869674],"category_scores_gemma":[0.003055101,0.0011489864,0.0010853678,0.0009427471,0.00085079466,0.0023605453,0.0009570591,0.0011338767,0.00032378544],"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":[0.000021042722,0.000028473572,0.00030430465,0.000052006,0.000021468439,0.000118459,0.000059743677,0.92856914,0.0010538389,0.046433542,0.00017232545,0.023165675],"study_design_scores_gemma":[0.000017878974,0.00008223991,0.0001437232,0.000013632411,0.000025244097,0.000048579055,0.000039187293,0.96591294,0.00048387243,0.030955115,0.0022597695,0.000017783881],"about_ca_topic_score_codex":0.0019874403,"about_ca_topic_score_gemma":0.0040099807,"teacher_disagreement_score":0.003869674,"about_ca_system_score_codex":0.0009891142,"about_ca_system_score_gemma":0.0017504442,"threshold_uncertainty_score":0.012945354},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37501547,0.00079979154,0.6034939,0.0035938313,0.00011448457,0.00016651957,0.0005607992,0.00031257665,0.015942581],"genre_scores_gemma":[0.97804755,0.00031700762,0.013197415,0.00014003924,0.00010366833,0.000103236,0.00012605112,0.00004181164,0.007923261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981863,0.00067219033,0.000080002224,0.00035945838,0.00025684616,0.00044527458],"domain_scores_gemma":[0.9931235,0.0040152185,0.0016024148,0.00033033878,0.00041766575,0.0005108893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036290144,0.0011891526,0.0018451358,0.001274364,0.0009202597,0.00247307,0.0024004173,0.002844865,0.0039782417],"category_scores_gemma":[0.0073520043,0.00088601,0.0016166684,0.00080616574,0.0027026203,0.0031704516,0.001677879,0.0030003123,0.00042279213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014819436,0.000121407254,0.0025814667,0.00007665666,0.0000549145,0.0007202642,0.00021578147,0.6426172,0.0021131649,0.3468796,0.0010747428,0.0033965523],"study_design_scores_gemma":[0.000027692355,0.00003954622,0.0006046251,0.000009008509,0.000015318365,0.00007729604,0.000031226165,0.94694906,0.000175225,0.051838603,0.00020931923,0.000023079956],"about_ca_topic_score_codex":0.007076268,"about_ca_topic_score_gemma":0.0044755274,"teacher_disagreement_score":0.007076268,"about_ca_system_score_codex":0.0025321806,"about_ca_system_score_gemma":0.0012316803,"threshold_uncertainty_score":0.019192278},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54475516,0.00052810425,0.44893092,0.00097044994,0.00010083266,0.00006653734,0.00017478706,0.00023483961,0.004238347],"genre_scores_gemma":[0.9921963,0.00010798305,0.00628147,0.000058332764,0.000035244353,0.000026668637,0.000050757917,0.000014521031,0.0012287986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985311,0.00035545632,0.00008531591,0.00026624496,0.00038930995,0.00037251023],"domain_scores_gemma":[0.9930495,0.003323093,0.0013208868,0.0003050787,0.0013520411,0.00064937014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002591582,0.000650557,0.00090356776,0.000873756,0.00075804786,0.0015932606,0.0016855516,0.0009838027,0.0011429954],"category_scores_gemma":[0.009232236,0.00042958258,0.0004915187,0.00062747777,0.0014006317,0.001486791,0.0015721396,0.0010817657,0.00023882047],"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":[0.0009622701,0.00020886751,0.009768683,0.0001512377,0.00014477684,0.0008642428,0.00069122214,0.7214753,0.020801255,0.23218119,0.002390653,0.010360323],"study_design_scores_gemma":[0.000030428953,0.000040111943,0.00037591215,0.000003823927,0.000007849167,0.000030745803,0.000030798095,0.98983544,0.0003154038,0.009198676,0.000116656,0.000014152951],"about_ca_topic_score_codex":0.0065063373,"about_ca_topic_score_gemma":0.0024357233,"teacher_disagreement_score":0.0065063373,"about_ca_system_score_codex":0.002365721,"about_ca_system_score_gemma":0.0014154696,"threshold_uncertainty_score":0.017164588},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006450261,0.00011484942,0.9887412,0.00014555565,0.000032300675,0.000043146276,0.000030379464,0.00012585791,0.0043164734],"genre_scores_gemma":[0.34694678,0.0006146682,0.6366496,0.00012988244,0.00005029674,0.00040387013,0.00024789502,0.00024678448,0.014710242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99961394,0.000150099,0.000015303222,0.0000619826,0.00012705628,0.000031694894],"domain_scores_gemma":[0.9994128,0.00023057438,0.0000725154,0.000045166988,0.00017961398,0.000059296417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008272518,0.00064170745,0.0004369171,0.00051762414,0.0007498901,0.0009307607,0.0006955307,0.0008391016,0.00564912],"category_scores_gemma":[0.0023809923,0.00024591238,0.0005559725,0.0005247321,0.0010357867,0.0009865711,0.0011905669,0.0014487029,0.0010126329],"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":[0.00010767738,0.00007634567,0.0011195325,0.00020543965,0.000023402457,0.00031023967,0.00047849907,0.39368275,0.0097801285,0.4979121,0.0058694845,0.09043441],"study_design_scores_gemma":[0.000011851539,0.00012382219,0.00009727381,0.000035900775,0.0000035797784,0.00009172202,0.00003420303,0.94930816,0.0013427878,0.042428747,0.0065054675,0.000016507074],"about_ca_topic_score_codex":0.0020477264,"about_ca_topic_score_gemma":0.0011962998,"teacher_disagreement_score":0.00564912,"about_ca_system_score_codex":0.00086985633,"about_ca_system_score_gemma":0.0010452599,"threshold_uncertainty_score":0.018898189},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00456844,0.00013752158,0.99348176,0.000034882796,0.000019465815,0.000022635611,0.000012076667,0.000073290306,0.0016499743],"genre_scores_gemma":[0.68533814,0.0009439062,0.3021393,0.00012451502,0.00007896087,0.00054066925,0.0001504923,0.000107505846,0.010576633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981016,0.00005887189,0.000010867494,0.00004023626,0.00006210649,0.000017813489],"domain_scores_gemma":[0.99968517,0.0001642155,0.000044779554,0.000022162012,0.00007166167,0.000012068713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008458492,0.00087147526,0.00090519595,0.00048972777,0.00033967206,0.0006697841,0.00083705294,0.0009334156,0.0023780738],"category_scores_gemma":[0.00086008274,0.0003578748,0.0009284114,0.00037527594,0.0005846332,0.000586913,0.0008792736,0.0012690593,0.00036075164],"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":[0.000041681993,0.000047824567,0.00039461895,0.00016053306,0.00003429344,0.00013179323,0.000116905045,0.9315119,0.009949205,0.027680686,0.0004952881,0.029435413],"study_design_scores_gemma":[0.0000030699402,0.000016391052,0.00002678177,0.0000031918617,0.000004378927,0.0000104515875,0.000004247351,0.9983069,0.00037049348,0.0007738547,0.00047770748,0.0000024840708],"about_ca_topic_score_codex":0.0040225834,"about_ca_topic_score_gemma":0.002298709,"teacher_disagreement_score":0.0040225834,"about_ca_system_score_codex":0.0005006424,"about_ca_system_score_gemma":0.0007921612,"threshold_uncertainty_score":0.007998347},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18289739,0.000986883,0.7857803,0.00349531,0.0004207272,0.00018965939,0.001525632,0.0003194361,0.024384594],"genre_scores_gemma":[0.94761264,0.0010242582,0.018900715,0.00029695794,0.00023968205,0.00023473057,0.00041951553,0.000038949693,0.031232417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911803,0.00025929185,0.000042184365,0.00021432736,0.00018457964,0.00018154668],"domain_scores_gemma":[0.99767905,0.0010926893,0.00050553377,0.00017777814,0.00030814664,0.00023671798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380398,0.00097143766,0.0012905883,0.0009300041,0.0006921656,0.0019150312,0.0022411027,0.002444197,0.0066690044],"category_scores_gemma":[0.0050022705,0.00048765418,0.0009756163,0.0012083466,0.001482853,0.0023037056,0.0012838575,0.0027877488,0.0008157884],"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":[0.0001150338,0.000071060036,0.0035930946,0.00009709273,0.00010197904,0.0007266752,0.0002681059,0.52746344,0.0025150902,0.45467728,0.0028661867,0.007504903],"study_design_scores_gemma":[0.000027048944,0.00004399165,0.0006391638,0.000015745118,0.000039664727,0.00015388796,0.000043605414,0.9519015,0.00020313948,0.045436274,0.001463948,0.000032003514],"about_ca_topic_score_codex":0.012852973,"about_ca_topic_score_gemma":0.005563843,"teacher_disagreement_score":0.012852973,"about_ca_system_score_codex":0.001554424,"about_ca_system_score_gemma":0.0011999016,"threshold_uncertainty_score":0.025556326},"labels":[],"label_agreement":null},{"id":"W2955620234","doi":"10.3934/jimo.2016074","title":"Double well potential function and its optimization in the <inline-formula><tex-math id=\"M1\">\\begin{document}$N$\\end{document}</tex-math></inline-formula> -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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027019497,0.00083846063,0.9545357,0.0007365651,0.00007329811,0.000039308634,0.00010561987,0.00010537549,0.016546223],"genre_scores_gemma":[0.65510166,0.001642512,0.31964064,0.00029701163,0.00009900449,0.00030791273,0.00032193147,0.00036016086,0.02222917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99977,0.00007684011,0.00001014915,0.000052985582,0.000052860614,0.00003719652],"domain_scores_gemma":[0.99954045,0.00023788451,0.000051078354,0.00003034008,0.00009286685,0.00004737614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111402,0.00094257103,0.0006902747,0.0007617351,0.0004380623,0.0017819953,0.0006476874,0.0008846447,0.0055129435],"category_scores_gemma":[0.0026926384,0.00040026693,0.0005686279,0.00062096806,0.001150099,0.0019279565,0.0013506602,0.0014803375,0.0008101939],"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":[0.00009749138,0.00005318586,0.00079563505,0.00026467818,0.00003629341,0.00020723556,0.00013310897,0.25515342,0.0058618104,0.702154,0.006115502,0.029127717],"study_design_scores_gemma":[0.000009969765,0.0000315043,0.0001714746,0.00003424531,0.000009688227,0.00007061492,0.000053831987,0.8945467,0.001473731,0.10025753,0.0033260104,0.000014737069],"about_ca_topic_score_codex":0.0014373453,"about_ca_topic_score_gemma":0.0011858145,"teacher_disagreement_score":0.0055129435,"about_ca_system_score_codex":0.001018092,"about_ca_system_score_gemma":0.0009652637,"threshold_uncertainty_score":0.01844269},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12995048,0.0011515623,0.81516755,0.0014408965,0.00029747796,0.00017874084,0.00044554172,0.00022133751,0.05114638],"genre_scores_gemma":[0.92968786,0.0010220987,0.04420406,0.0002208544,0.00018077601,0.00013686235,0.00013358424,0.000064570755,0.024349337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992269,0.00023617357,0.00003205716,0.00012827205,0.00018232004,0.00019418217],"domain_scores_gemma":[0.99852306,0.00067264965,0.0002298751,0.00018528198,0.0002225138,0.00016673192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020697145,0.00073223293,0.0013695204,0.00059524307,0.000568967,0.0018619542,0.0031101997,0.0015663062,0.005963827],"category_scores_gemma":[0.003534235,0.00052232883,0.0020195106,0.00086669554,0.0014136018,0.0020237938,0.0010988755,0.0023743506,0.000698231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081450606,0.000084034036,0.0005642387,0.00005813628,0.000029479796,0.00045081295,0.00007658314,0.8508343,0.0010204699,0.13316354,0.0016043013,0.012032593],"study_design_scores_gemma":[0.00002279877,0.000054585264,0.0002328013,0.000010392427,0.0000146121,0.00008139451,0.000018528217,0.9648202,0.00020229832,0.03347446,0.0010464422,0.000021446098],"about_ca_topic_score_codex":0.0068857307,"about_ca_topic_score_gemma":0.004768526,"teacher_disagreement_score":0.0068857307,"about_ca_system_score_codex":0.0018054894,"about_ca_system_score_gemma":0.001569274,"threshold_uncertainty_score":0.019950986},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3208342,0.0017186913,0.66480124,0.0022932752,0.00007357071,0.0002868072,0.00027874787,0.00034544352,0.009368004],"genre_scores_gemma":[0.96709824,0.00043894112,0.027084062,0.00011625913,0.000027767235,0.00011758571,0.00009405349,0.0000856406,0.004937365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989477,0.00042774028,0.00004712856,0.00021392063,0.00012668807,0.00023683393],"domain_scores_gemma":[0.99637514,0.0024556469,0.0004828838,0.00012471683,0.00026433973,0.00029722074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029653006,0.0015278872,0.001884346,0.00077212823,0.00034961704,0.0017448989,0.001580189,0.002268725,0.0033411633],"category_scores_gemma":[0.008245084,0.00089689577,0.0008398988,0.00043183728,0.000993493,0.002429795,0.0011688849,0.0016319683,0.00034810128],"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":[0.00028241612,0.00016824463,0.0016118347,0.00019422897,0.00011425691,0.00027977533,0.00010602418,0.9330388,0.0046655023,0.046176516,0.0011532268,0.012209193],"study_design_scores_gemma":[0.000021517142,0.00007988697,0.000364402,0.000023167471,0.00002482155,0.00004286404,0.00002776869,0.9905083,0.00077646034,0.007921995,0.00019532639,0.000013493378],"about_ca_topic_score_codex":0.0030717843,"about_ca_topic_score_gemma":0.0015028536,"teacher_disagreement_score":0.0033411633,"about_ca_system_score_codex":0.002081023,"about_ca_system_score_gemma":0.0017864939,"threshold_uncertainty_score":0.01568222},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5748145,0.00090286875,0.41279745,0.001134281,0.00014935622,0.0001869071,0.00047318873,0.00018340303,0.009358088],"genre_scores_gemma":[0.9864022,0.000276832,0.008561425,0.00007488715,0.000058566082,0.000081476595,0.000205186,0.00003219895,0.004307252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909127,0.00034631943,0.000048247362,0.0002591601,0.00012869253,0.0001262749],"domain_scores_gemma":[0.99175537,0.0056917067,0.0011798469,0.00033833753,0.00064062304,0.000394028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048997877,0.00078973506,0.0012128679,0.00068073504,0.00049018714,0.0010619729,0.0012316798,0.00080046715,0.00496481],"category_scores_gemma":[0.012514525,0.00046229982,0.0013374895,0.0006033059,0.0013120495,0.0015035699,0.0010670465,0.0011858456,0.00022018922],"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":[0.000109477056,0.000057355504,0.0025802827,0.00006654434,0.00008455795,0.00018623422,0.00007251881,0.9486169,0.0004955088,0.043061394,0.00047593593,0.0041933362],"study_design_scores_gemma":[0.000013875578,0.00005256026,0.0013426034,0.0000063195585,0.000028406288,0.000026034902,0.00004607859,0.98556805,0.00013575747,0.012541555,0.00022669607,0.000011981669],"about_ca_topic_score_codex":0.007215289,"about_ca_topic_score_gemma":0.0041914727,"teacher_disagreement_score":0.007215289,"about_ca_system_score_codex":0.0013303903,"about_ca_system_score_gemma":0.00091913674,"threshold_uncertainty_score":0.025912821},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04230188,0.0017249668,0.9396133,0.0016192697,0.00025948495,0.00030771023,0.00052869297,0.0011235732,0.012521043],"genre_scores_gemma":[0.44196087,0.0010746475,0.54648334,0.0007480743,0.00026319813,0.0006321588,0.0013723836,0.00045026455,0.0070150564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826604,0.0006351906,0.00006763628,0.0002868215,0.0003000943,0.00044431118],"domain_scores_gemma":[0.9972289,0.0017913999,0.00023947017,0.000251776,0.000257139,0.00023136828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024536664,0.0017561879,0.0029446587,0.0010696469,0.0010012387,0.0021896223,0.0034388248,0.0021919257,0.00776534],"category_scores_gemma":[0.00620947,0.0006479748,0.0015700214,0.0021616668,0.0008987285,0.0030104534,0.0023914159,0.0027936646,0.0013857419],"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":[0.00064616126,0.00044364488,0.0013333415,0.00047112704,0.00011531182,0.00017750017,0.00021025103,0.827352,0.0015724272,0.054687746,0.018413914,0.094576545],"study_design_scores_gemma":[0.00006634985,0.000058984308,0.00011318719,0.00001998111,0.000018677087,0.00006362215,0.00004169356,0.97517383,0.00021822355,0.023053953,0.0011621824,0.000009299223],"about_ca_topic_score_codex":0.0045165517,"about_ca_topic_score_gemma":0.0046097864,"teacher_disagreement_score":0.00776534,"about_ca_system_score_codex":0.0025278893,"about_ca_system_score_gemma":0.003178263,"threshold_uncertainty_score":0.025977671},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030338861,0.0011410586,0.932403,0.0018366738,0.0004423434,0.00066306884,0.001600305,0.00754388,0.024030732],"genre_scores_gemma":[0.10675255,0.0003534235,0.8761251,0.00062063226,0.00013564332,0.0008715419,0.0043221344,0.0020103825,0.008808556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987519,0.0002676078,0.00008069477,0.0004344969,0.00024182207,0.00022346083],"domain_scores_gemma":[0.9975025,0.0014104947,0.00015488874,0.00044936198,0.0003212802,0.0001613954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015332798,0.00286905,0.0019712849,0.0011634374,0.0014368198,0.0023727166,0.004010478,0.003355156,0.02162989],"category_scores_gemma":[0.007255352,0.0011390195,0.002359314,0.0022565264,0.0010308552,0.0030642936,0.0029009474,0.003424712,0.006533193],"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":[0.0006262284,0.0006316183,0.0013088947,0.001146616,0.00021101856,0.0003115547,0.00036008426,0.53215766,0.004559275,0.05902177,0.08774006,0.3119251],"study_design_scores_gemma":[0.00023309013,0.00010494019,0.00022977006,0.000060065333,0.000038180544,0.00011346665,0.000121105375,0.91652244,0.00114369,0.07501084,0.00639566,0.000026836711],"about_ca_topic_score_codex":0.009585181,"about_ca_topic_score_gemma":0.016802032,"teacher_disagreement_score":0.02162989,"about_ca_system_score_codex":0.0021576139,"about_ca_system_score_gemma":0.0043752915,"threshold_uncertainty_score":0.072359204},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04235926,0.0013955658,0.9167786,0.0018863403,0.0003567837,0.00018427856,0.0007729585,0.00066057604,0.035605617],"genre_scores_gemma":[0.6636554,0.0035361259,0.27408203,0.0015155651,0.000614991,0.0006689066,0.0013863558,0.0018465988,0.0526941],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993843,0.00013916206,0.0000330918,0.00007382685,0.00020768674,0.00016198633],"domain_scores_gemma":[0.9959345,0.0025436063,0.0002724885,0.00018976087,0.0008799426,0.00017962155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020783679,0.0012696226,0.0008609897,0.0017359904,0.00094910583,0.0017048636,0.0022480537,0.0013937824,0.020078674],"category_scores_gemma":[0.013147521,0.0004971533,0.0011693437,0.0017065493,0.0014014029,0.00297573,0.0013070841,0.002568431,0.0034247593],"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":[0.00013631936,0.00025526312,0.0018313123,0.00043859796,0.00004774556,0.00054766797,0.0011157194,0.3331473,0.0075261635,0.6028898,0.016875941,0.035188194],"study_design_scores_gemma":[0.000021687474,0.000015559319,0.00033368365,0.00005047021,0.000016085225,0.00015199707,0.00016736543,0.9424404,0.0010835872,0.0523804,0.0033093225,0.00002950439],"about_ca_topic_score_codex":0.008974421,"about_ca_topic_score_gemma":0.0101262145,"teacher_disagreement_score":0.020078674,"about_ca_system_score_codex":0.002801556,"about_ca_system_score_gemma":0.0034061233,"threshold_uncertainty_score":0.067169905},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2747741,0.0008156825,0.68816894,0.0019286897,0.00014353739,0.00044148628,0.00040608057,0.00011107503,0.03321041],"genre_scores_gemma":[0.9633752,0.00051949196,0.021861212,0.00015008842,0.000057935697,0.00026447387,0.000091924485,0.000023309385,0.013656523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842453,0.00067189697,0.00004542343,0.00026503147,0.00019472415,0.00039836208],"domain_scores_gemma":[0.9974807,0.001605346,0.00031559204,0.00008861957,0.00021784815,0.00029188357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023464977,0.0012096807,0.001745158,0.0009540261,0.00086554873,0.002698308,0.0023545967,0.0035200734,0.0065226383],"category_scores_gemma":[0.005030874,0.0010611548,0.0016038006,0.00073319825,0.0021179323,0.0041089593,0.0016421896,0.002366241,0.00038902508],"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":[0.00035698473,0.00023181272,0.0018077877,0.00017567935,0.00014472257,0.0008632014,0.00038770802,0.7700341,0.0025387541,0.21581535,0.0016743077,0.0059696585],"study_design_scores_gemma":[0.00005625975,0.00007900124,0.0003321021,0.000014626867,0.000051075473,0.000083540435,0.0001035882,0.9703152,0.0002096986,0.028080003,0.00063812814,0.00003675276],"about_ca_topic_score_codex":0.008580787,"about_ca_topic_score_gemma":0.0052606054,"teacher_disagreement_score":0.008580787,"about_ca_system_score_codex":0.003488727,"about_ca_system_score_gemma":0.0024836347,"threshold_uncertainty_score":0.025312662},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5094684,0.00038388217,0.48302218,0.00041392076,0.000037606555,0.00014317581,0.0001742231,0.00020442362,0.0061521423],"genre_scores_gemma":[0.9857873,0.00012451394,0.012966283,0.000016736058,0.000003766283,0.000022101312,0.000023747229,0.000005609776,0.0010500201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995895,0.00012286789,0.000021682612,0.0000913202,0.00006378675,0.000110916284],"domain_scores_gemma":[0.99948263,0.0002223433,0.00013336494,0.000038107002,0.00006978018,0.000053746462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011507039,0.0006259108,0.00058639416,0.0006718292,0.00051675993,0.0013594421,0.0008643484,0.0008965095,0.0013390171],"category_scores_gemma":[0.0015856103,0.00032720258,0.0004399463,0.0006469767,0.00084086775,0.0016869074,0.00074320164,0.00052942423,0.00012097381],"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":[0.00013055067,0.000042196825,0.0007305442,0.000056946297,0.000016773472,0.00015569893,0.000049873026,0.9769957,0.0033162693,0.010941372,0.0001906072,0.0073735393],"study_design_scores_gemma":[0.0000132505465,0.000108302884,0.00041211338,0.000009002164,0.000017817065,0.000039977942,0.000056343913,0.9930097,0.0011133791,0.0049963593,0.00021013131,0.000013780754],"about_ca_topic_score_codex":0.0035682586,"about_ca_topic_score_gemma":0.002157186,"teacher_disagreement_score":0.0035682586,"about_ca_system_score_codex":0.0012731302,"about_ca_system_score_gemma":0.001053741,"threshold_uncertainty_score":0.00923723},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8895065,0.00036550537,0.097645596,0.0006339159,0.00001619207,0.00010581418,0.00008465425,0.000049987088,0.011591778],"genre_scores_gemma":[0.99440044,0.00012881178,0.0037884288,0.000023000408,0.0000048393713,0.000021376429,0.000013824094,0.0000029915552,0.0016163245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987307,0.00048316343,0.000049323997,0.00018024788,0.00027844615,0.00027813588],"domain_scores_gemma":[0.99517316,0.0026249965,0.0011176616,0.00022372311,0.0005006004,0.00035981953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024404703,0.00069237774,0.0008022177,0.0009402143,0.000882844,0.00211296,0.0010601818,0.0014556069,0.0038184098],"category_scores_gemma":[0.0070193163,0.0006614749,0.0005899691,0.0009674324,0.0013491214,0.0021011492,0.0015004199,0.00076888915,0.00028692654],"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":[0.00095016975,0.00034512847,0.02473271,0.0002922414,0.00025689433,0.0035523814,0.0009946901,0.8120815,0.011832962,0.10907688,0.0010020104,0.034882303],"study_design_scores_gemma":[0.000118076416,0.0005563523,0.005183062,0.000064212334,0.00025672148,0.00038545538,0.0010734275,0.94464296,0.002310182,0.044025134,0.0013134072,0.00007101899],"about_ca_topic_score_codex":0.0065727565,"about_ca_topic_score_gemma":0.005478326,"teacher_disagreement_score":0.0065727565,"about_ca_system_score_codex":0.0024176443,"about_ca_system_score_gemma":0.0015212687,"threshold_uncertainty_score":0.01754129},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045786807,0.00027214878,0.99414563,0.000048439135,0.00003568072,0.000027533277,0.0000067057827,0.000048226873,0.00083694723],"genre_scores_gemma":[0.33881184,0.0010525377,0.65580016,0.00014213292,0.00014129163,0.00029136674,0.00009341248,0.00011142052,0.003555808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946076,0.00025118384,0.000035978726,0.000056973076,0.00015910235,0.000036100224],"domain_scores_gemma":[0.9995747,0.0002207996,0.000056829736,0.00003673948,0.00008430476,0.000026553818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012403292,0.0010949334,0.00087084196,0.0005646424,0.00030158836,0.00052680686,0.0012003165,0.000745231,0.0010685439],"category_scores_gemma":[0.0023080069,0.00038249078,0.00068459526,0.00047373035,0.00067381596,0.0011361489,0.0010523123,0.0011474983,0.00024912774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018051501,0.00009435764,0.00062111666,0.0004244181,0.000103735125,0.00015159744,0.0002249114,0.72624147,0.015573564,0.09529706,0.0016907474,0.15939654],"study_design_scores_gemma":[0.000007651325,0.000035054665,0.000060666494,0.0000063973616,0.0000035052508,0.000012435587,0.000004447445,0.9954503,0.0008100134,0.0029116045,0.0006928289,0.0000051193924],"about_ca_topic_score_codex":0.0014217165,"about_ca_topic_score_gemma":0.0015992846,"teacher_disagreement_score":0.0014217165,"about_ca_system_score_codex":0.00043299145,"about_ca_system_score_gemma":0.000774351,"threshold_uncertainty_score":0.0065595508},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8185389,0.00022447723,0.167337,0.0005053409,0.00003440035,0.00017313598,0.00014185726,0.00006781008,0.0129769305],"genre_scores_gemma":[0.9859242,0.00015101267,0.010199201,0.000031821717,0.000008589213,0.000035417892,0.00002767407,0.0000107061205,0.0036114177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799025,0.0008539946,0.000054340875,0.00026012698,0.00021279391,0.00062847225],"domain_scores_gemma":[0.9931967,0.005234864,0.0005717695,0.00020724407,0.00029526197,0.0004941252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037055218,0.0008765646,0.0014186032,0.0011749011,0.0015669366,0.0037335004,0.0010927052,0.0018338897,0.007869727],"category_scores_gemma":[0.0055872696,0.0009156818,0.0010740396,0.00084223616,0.0019462161,0.003553909,0.0013568896,0.0010810241,0.0005929501],"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":[0.0014532777,0.00039095868,0.0068292464,0.00016828124,0.00012364362,0.0010947968,0.0004392247,0.881416,0.0072392467,0.083328545,0.00092478585,0.016592028],"study_design_scores_gemma":[0.00008293028,0.00021880998,0.0010768613,0.000017199778,0.000058734462,0.000104084356,0.00042824718,0.9680244,0.0024325058,0.026931813,0.00057188614,0.000052521056],"about_ca_topic_score_codex":0.007641685,"about_ca_topic_score_gemma":0.008488381,"teacher_disagreement_score":0.007869727,"about_ca_system_score_codex":0.0025557287,"about_ca_system_score_gemma":0.0032527912,"threshold_uncertainty_score":0.026326835},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8249176,0.00016193792,0.15641972,0.0011813405,0.00005822014,0.00007714077,0.00019127261,0.00011545819,0.016877364],"genre_scores_gemma":[0.99729484,0.000038387545,0.0014599597,0.000028456634,0.000007026832,0.000013369626,0.000016495247,0.000004491754,0.0011370406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977798,0.00056235713,0.000093083494,0.00048419746,0.00030025205,0.00078027253],"domain_scores_gemma":[0.9957075,0.0013786406,0.0014692757,0.00036477044,0.0004371388,0.0006426137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020695135,0.00050130876,0.0006147382,0.00042312013,0.00078175444,0.0018250186,0.00093369716,0.0010530425,0.0037856842],"category_scores_gemma":[0.009031053,0.000397035,0.0006716042,0.00038509083,0.0018745192,0.0027287588,0.0014458783,0.0014660619,0.00022036144],"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":[0.0005666879,0.0002526258,0.028461264,0.00012988747,0.0001582926,0.0017217128,0.0011506054,0.7004567,0.012144942,0.22921978,0.0028108547,0.022926737],"study_design_scores_gemma":[0.000089030196,0.00022421071,0.018862538,0.000019411566,0.00008386776,0.0003163054,0.0012904865,0.84530073,0.0024403757,0.12891236,0.0023604203,0.00010029236],"about_ca_topic_score_codex":0.0070183985,"about_ca_topic_score_gemma":0.0040974496,"teacher_disagreement_score":0.0070183985,"about_ca_system_score_codex":0.0022798704,"about_ca_system_score_gemma":0.0017697698,"threshold_uncertainty_score":0.01654172},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4448919,0.0012014302,0.50446355,0.005199495,0.00015533368,0.000093850904,0.0005136128,0.00011696186,0.04336389],"genre_scores_gemma":[0.9764182,0.0003071863,0.01456248,0.00013701872,0.000051648494,0.00006768166,0.00006580138,0.000025183279,0.008364743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950695,0.0002093567,0.000016764556,0.00008187228,0.00005537907,0.00012956011],"domain_scores_gemma":[0.9987423,0.00065481773,0.0002207477,0.000056765784,0.00013459887,0.00019080778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012743451,0.000718397,0.00096694217,0.0007126769,0.001088175,0.0019843113,0.0011676302,0.0023628788,0.003931736],"category_scores_gemma":[0.002772873,0.00035767868,0.001359021,0.00052318815,0.00197535,0.0013974926,0.0017841528,0.001278679,0.00021615047],"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":[0.000114004855,0.000055043514,0.001588554,0.000069749214,0.00007101225,0.0012005795,0.00023878981,0.4068205,0.00290591,0.5814132,0.0014679313,0.0040546716],"study_design_scores_gemma":[0.00002137351,0.000021355356,0.0002647314,0.000005373287,0.00000860101,0.000053691867,0.00007338437,0.9504854,0.00013444098,0.04824299,0.00067625515,0.000012317723],"about_ca_topic_score_codex":0.03156506,"about_ca_topic_score_gemma":0.014105666,"teacher_disagreement_score":0.03156506,"about_ca_system_score_codex":0.0022345057,"about_ca_system_score_gemma":0.0014148342,"threshold_uncertainty_score":0.06276268},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008393695,0.00013645498,0.9905505,0.0001283143,0.00001586698,0.000013612179,0.000023262575,0.00013332312,0.0006048952],"genre_scores_gemma":[0.62917787,0.000559922,0.36243373,0.0004587651,0.00012163011,0.0002575472,0.00046688766,0.00027227163,0.006251326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985903,0.0006066551,0.00007447584,0.00028135508,0.00033271674,0.00011448127],"domain_scores_gemma":[0.99723744,0.0017790507,0.0002533988,0.00020770734,0.00044722384,0.00007509752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003580665,0.001119855,0.0013051447,0.0008189747,0.00060299085,0.0010873392,0.0018084534,0.001521079,0.0014538912],"category_scores_gemma":[0.007914945,0.00082277437,0.0010400862,0.00092578266,0.0013601261,0.0023562878,0.0022341604,0.0019592058,0.00040404964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001240113,0.000050928662,0.0014686316,0.00007803392,0.00007676435,0.00009101598,0.000048214057,0.93300563,0.0015368216,0.017867928,0.00091590104,0.044736188],"study_design_scores_gemma":[0.0000032557443,0.0000061261403,0.00006763507,0.0000035726473,0.000003583895,0.0000085858055,0.0000027157243,0.9964228,0.00018471795,0.00318766,0.00010485439,0.000004347793],"about_ca_topic_score_codex":0.004220954,"about_ca_topic_score_gemma":0.0038951666,"teacher_disagreement_score":0.004220954,"about_ca_system_score_codex":0.0008338991,"about_ca_system_score_gemma":0.0012119083,"threshold_uncertainty_score":0.018936574},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055981785,0.00035637675,0.9397417,0.0005355578,0.000042155323,0.00015075083,0.000103056285,0.00004348925,0.0030451096],"genre_scores_gemma":[0.81535417,0.00048397007,0.18151818,0.00010951506,0.000059508813,0.00036642238,0.0001616288,0.000016138783,0.001930541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965412,0.0018019755,0.00016812934,0.00061018066,0.00056899554,0.0003094664],"domain_scores_gemma":[0.997079,0.0017531476,0.00042315412,0.000090190304,0.00045386035,0.00020072743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048370683,0.0012883365,0.0014445969,0.0016516297,0.0012127322,0.002252517,0.0019603297,0.0019049747,0.002022957],"category_scores_gemma":[0.005897305,0.0006364905,0.0017086536,0.0017677029,0.0011113638,0.0025335709,0.0016698932,0.0014242539,0.00015790173],"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":[0.00008989382,0.000053720152,0.0015987214,0.00013956382,0.00011276771,0.00028960354,0.00028040016,0.948337,0.00072324293,0.030147556,0.00042718055,0.017800353],"study_design_scores_gemma":[0.000011023631,0.000029717234,0.00018064225,0.000010088771,0.000022503094,0.000019006608,0.0000690189,0.9880019,0.0001536979,0.011216697,0.00027252638,0.000013252551],"about_ca_topic_score_codex":0.010002505,"about_ca_topic_score_gemma":0.007839156,"teacher_disagreement_score":0.010002505,"about_ca_system_score_codex":0.002956733,"about_ca_system_score_gemma":0.0024327834,"threshold_uncertainty_score":0.025581181},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30876672,0.0010752126,0.67044806,0.0008439312,0.000060990278,0.000092554634,0.000114208546,0.0001372314,0.018461099],"genre_scores_gemma":[0.9763974,0.00036456514,0.019226907,0.000051812563,0.000029116092,0.000032132764,0.000032049884,0.000024761413,0.0038413054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975841,0.0010699243,0.00007481954,0.00048745895,0.00049090554,0.00029284545],"domain_scores_gemma":[0.9958681,0.0020583214,0.0011467857,0.00049350667,0.00031313207,0.00012016894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028114214,0.0007354915,0.0010872625,0.0005166619,0.0003426962,0.0021211032,0.0016923106,0.0016080139,0.0038522258],"category_scores_gemma":[0.008872337,0.0007542177,0.0017187619,0.0009518621,0.0015326213,0.0049599526,0.001602223,0.0015714737,0.00024199093],"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":[0.00032042857,0.00027741096,0.0058900183,0.00017486267,0.0002050203,0.0005754962,0.0002518714,0.71557254,0.0075384467,0.23840897,0.0004492417,0.030335695],"study_design_scores_gemma":[0.00004238463,0.00030336098,0.0066309404,0.00001997249,0.00014375734,0.00015915328,0.00008462551,0.9206054,0.0019547588,0.06872447,0.0012535469,0.00007756052],"about_ca_topic_score_codex":0.003858368,"about_ca_topic_score_gemma":0.0026496411,"teacher_disagreement_score":0.003858368,"about_ca_system_score_codex":0.0015588047,"about_ca_system_score_gemma":0.000999376,"threshold_uncertainty_score":0.014868379},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095475815,0.0019114076,0.8683632,0.0010103508,0.00013911648,0.00027933458,0.00096656533,0.00032460288,0.03152969],"genre_scores_gemma":[0.9168232,0.00191285,0.062261246,0.00010924612,0.00005391277,0.0004176132,0.0004987512,0.00007320405,0.01784996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991315,0.00033028846,0.000040900766,0.00012689846,0.0001941225,0.00017628544],"domain_scores_gemma":[0.9990231,0.00055407407,0.00016372174,0.000044256856,0.00015405218,0.000060712726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018891797,0.0015534067,0.0014411027,0.0011978699,0.0006692672,0.0022948931,0.0021877196,0.0020077291,0.0037617325],"category_scores_gemma":[0.0024075313,0.001016783,0.0015697044,0.0019144324,0.0010473806,0.0021295585,0.0011967157,0.0015633286,0.00043503568],"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":[0.000014774216,0.000011470213,0.00009728588,0.000017591257,0.0000059756335,0.00002460624,0.000011133545,0.99195707,0.00009633594,0.006510616,0.00008673026,0.001166403],"study_design_scores_gemma":[0.0000059476733,0.000017195478,0.00005405777,0.0000055202163,0.0000060825837,0.000007263166,0.000011605632,0.9954645,0.00005312475,0.004114711,0.0002555902,0.0000044317494],"about_ca_topic_score_codex":0.016936732,"about_ca_topic_score_gemma":0.011761831,"teacher_disagreement_score":0.016936732,"about_ca_system_score_codex":0.002956559,"about_ca_system_score_gemma":0.003053125,"threshold_uncertainty_score":0.033676267},"labels":[],"label_agreement":null}]}