{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":28,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":28,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"fe945fa9143d","filters":{"venue":"OR Spectrum"}},"results":[{"id":"W2055819286","doi":"10.1007/s00291-008-0135-6","title":"Dynamic transportation of patients in hospitals","year":2008,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":224,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Heuristic; Context (archaeology); Scheme (mathematics); Tabu search; Service (business); Quality (philosophy); Operations research; Simple (philosophy); Phase (matter); Mathematical optimization; Algorithm; Artificial intelligence; Mathematics","authors":[{"name":"Alexandre Beaudry","is_ca":false},{"name":"Gilbert Laporte","is_ca":true},{"name":"Teresa Melo","is_ca":false},{"name":"Stefan Nickel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006537182786802548,"gpt":0.2320161659181334,"spread":0.2254789831313309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000932931,0.000828136,0.0008791319,0.0008369875,0.0006751707,0.001592588,0.001483577,0.001355633,0.006257386],"category_scores_gemma":[0.002989781,0.0005997913,0.0007197325,0.001317941,0.0006338584,0.001616691,0.001197942,0.0008678553,0.0004036323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002110756,"about_ca_system_score_gemma":0.001568545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640225,"about_ca_topic_score_gemma":0.01146315,"domain_scores_codex":[0.998983,0.0005091749,0.00002674675,0.0001960597,0.00008713582,0.0001978126],"domain_scores_gemma":[0.999398,0.0003171643,0.000100802,0.00002912013,0.00006423862,0.00009074757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001079366,0.00004721792,0.001248959,0.00003184754,0.00003534836,0.00009162916,0.00005254103,0.9676051,0.0002267982,0.0157627,0.002331654,0.01245824],"study_design_scores_gemma":[0.00001552986,0.00002986827,0.0003936088,0.000008800956,0.00001504398,0.00003126621,0.0001775679,0.9870589,0.0001041326,0.01107561,0.001082094,0.000007524735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2753653,0.0009324872,0.6878406,0.004564086,0.0004632289,0.0002140437,0.001282305,0.0003481369,0.02898985],"genre_scores_gemma":[0.9706391,0.0003342812,0.02073829,0.0001430477,0.00007578848,0.00007966117,0.0003529814,0.00005259275,0.007584411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01640225,"threshold_uncertainty_score":0.03261358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011182425","doi":"10.1007/s00291-011-0280-1","title":"The impact of client choice on preventive healthcare facility network design","year":2011,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":116,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facility location problem; Attractiveness; Computer science; Time limit; Workload; Probabilistic logic; Quality (philosophy); Health care; Network planning and design; Operations research; Artificial intelligence; Engineering","authors":[{"name":"Yue Zhang","is_ca":false},{"name":"Oded Berman","is_ca":true},{"name":"Vedat Verter","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08406994656302978,"gpt":0.3576396471445394,"spread":0.2735697005815096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006846397,0.0002229125,0.0004098848,0.000885502,0.001101069,0.003047878,0.001443315,0.001339163,0.02541303],"category_scores_gemma":[0.06396573,0.0002941147,0.0006602646,0.00121543,0.0007879171,0.001399618,0.001388679,0.001059153,0.0009505325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003820297,"about_ca_system_score_gemma":0.003208907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0247934,"about_ca_topic_score_gemma":0.04079776,"domain_scores_codex":[0.9869043,0.009943808,0.0003277905,0.0004557492,0.001170672,0.001197653],"domain_scores_gemma":[0.901446,0.08342866,0.004320926,0.002468029,0.003414198,0.004922162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00267296,0.001878555,0.9318092,0.00007307732,0.0001805357,0.0005483643,0.002074918,0.00439173,0.0009153915,0.00486206,0.001211374,0.04938198],"study_design_scores_gemma":[0.0002994876,0.002104178,0.9142679,0.0001277822,0.0005392284,0.001510882,0.01788462,0.04896498,0.001983681,0.009264133,0.00296601,0.00008715837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990864,0.0001111353,0.000986686,0.0006660613,0.00001045718,0.00003085389,0.0001370636,0.00001334729,0.007180275],"genre_scores_gemma":[0.9988773,0.00002272051,0.000307589,0.00002577113,0.000004305331,0.000008138137,0.00001706587,0.000007299301,0.0007297819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02541303,"threshold_uncertainty_score":0.08501506,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102515551","doi":"10.1007/s00291-010-0229-9","title":"Models and algorithms for the heterogeneous dial-a-ride problem with driver-related constraints","year":2010,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Austrian Science Fund","keywords":"Column generation; Computer science; Variable neighborhood search; Mathematical optimization; Heuristic; Integer programming; Algorithm; Set (abstract data type); Variable (mathematics); Relaxation (psychology); Linear programming; Mathematics; Metaheuristic; Artificial intelligence","authors":[{"name":"Sophie N. Parragh","is_ca":false},{"name":"Jean‐François Cordeau","is_ca":true},{"name":"Karl F. Doerner","is_ca":false},{"name":"Richard F. Hartl","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01607248361109651,"gpt":0.2482842718808206,"spread":0.2322117882697241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002666989,0.002108009,0.002008523,0.001112697,0.001190375,0.002935386,0.003989541,0.002760972,0.006688611],"category_scores_gemma":[0.006397868,0.001378208,0.00215321,0.00180777,0.001292399,0.00343448,0.002044919,0.003210532,0.00114426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002972606,"about_ca_system_score_gemma":0.002928876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0143512,"about_ca_topic_score_gemma":0.01325954,"domain_scores_codex":[0.9986833,0.0005231199,0.00005591845,0.0002733633,0.0002255823,0.0002386995],"domain_scores_gemma":[0.9966782,0.002469199,0.0003389622,0.0001658797,0.0002229097,0.0001247946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002054323,0.00004977394,0.0001700666,0.00005822039,0.00002004435,0.00003230049,0.00004899479,0.9572593,0.00009321976,0.03265299,0.001464937,0.008129643],"study_design_scores_gemma":[0.00001728223,0.00001160454,0.00004096018,0.00001270501,0.000008345217,0.00001421475,0.00002307518,0.975807,0.00006245002,0.02294702,0.001048639,0.000006683741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006083138,0.0004025395,0.9885827,0.0003585505,0.00004159499,0.000107459,0.0001897922,0.0001756996,0.004058594],"genre_scores_gemma":[0.2370217,0.001746802,0.7493851,0.0002862163,0.0001730849,0.001012306,0.001092438,0.0003262564,0.00895618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0143512,"threshold_uncertainty_score":0.02853531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143046423","doi":"10.1007/s00291-013-0348-1","title":"Self-imposed time windows in vehicle routing problems","year":2013,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Vehicle routing problem; Benchmark (surveying); Heuristic; Computer science; Tabu search; Mathematical optimization; Routing (electronic design automation); Order (exchange); Operations research; Mathematics; Economics","authors":[{"name":"Ola Jabali","is_ca":true},{"name":"Roel Leus","is_ca":false},{"name":"Tom Van Woensel","is_ca":false},{"name":"A.G. de Kok","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009466649504264044,"gpt":0.2217450051240542,"spread":0.2122783556197902,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001920094,0.00080465,0.0007089083,0.0004097387,0.0003242871,0.001055653,0.001258929,0.001169352,0.002227656],"category_scores_gemma":[0.006469181,0.0006483115,0.0005853491,0.0005563036,0.001045852,0.002313027,0.001207665,0.001848127,0.0002283398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007257527,"about_ca_system_score_gemma":0.0008722686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965745,"about_ca_topic_score_gemma":0.001367323,"domain_scores_codex":[0.9994692,0.0002816682,0.00001823831,0.00007385299,0.00009292561,0.00006413589],"domain_scores_gemma":[0.99761,0.001723153,0.0002380145,0.0001287135,0.000178182,0.0001220785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009570432,0.00005336286,0.0003309466,0.0001134327,0.0000359073,0.00009086215,0.00008105521,0.749406,0.00143081,0.2359333,0.00138158,0.01104695],"study_design_scores_gemma":[0.000008877678,0.00001393629,0.00006397575,0.00001009614,0.000007304243,0.000009721216,0.00001515645,0.9674656,0.0002540467,0.03140807,0.000737572,0.000005746572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03056998,0.0008213651,0.9606667,0.0004022765,0.0002470858,0.00002621526,0.00005579517,0.0000512904,0.007159296],"genre_scores_gemma":[0.8774766,0.002180227,0.09413267,0.0002182024,0.000459895,0.0001891155,0.0001495489,0.0002292194,0.02496439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002227656,"threshold_uncertainty_score":0.01015455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106822515","doi":"10.1007/s00291-013-0327-6","title":"The design of robust value-creating supply chain networks","year":2013,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Network planning and design; Computer science; Time horizon; Futures contract; Supply chain; Supply chain network; Set (abstract data type); Scenario planning; Sample (material); Operations research; Monte Carlo method; Supply chain management; Adaptation (eye); Mathematical optimization; Industrial engineering","authors":[{"name":"Walid Klibi","is_ca":false},{"name":"Alain Martel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01329167069259463,"gpt":0.1981603641458235,"spread":0.1848686934532288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002032729,0.0005568803,0.0005150504,0.0006665118,0.0006968204,0.002431003,0.001727276,0.00129663,0.003153129],"category_scores_gemma":[0.009688843,0.0005594181,0.000401643,0.0006062701,0.001525179,0.002989791,0.002445674,0.0008796871,0.0005165684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197152,"about_ca_system_score_gemma":0.001064447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006214926,"about_ca_topic_score_gemma":0.0007027482,"domain_scores_codex":[0.9981738,0.0007065684,0.00008025784,0.0003416695,0.0005412372,0.0001564151],"domain_scores_gemma":[0.9960998,0.001970071,0.0006467021,0.0005488071,0.0005456908,0.0001888865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001576508,0.00008210543,0.0005783396,0.0001827076,0.0000357941,0.0001572131,0.0002205403,0.5997759,0.01273462,0.3075184,0.001134159,0.07742275],"study_design_scores_gemma":[0.00002383989,0.00008793861,0.0000840621,0.00003434869,0.00001847903,0.00005905805,0.00007558489,0.8626299,0.005012567,0.1264169,0.00554267,0.00001467763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02005787,0.0001716051,0.9716465,0.0003291818,0.00005406665,0.00009055556,0.00003896563,0.0001921034,0.00741916],"genre_scores_gemma":[0.7708659,0.0004710828,0.2234753,0.0001146264,0.00005577488,0.0002233558,0.00008437801,0.00009506492,0.004614579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003153129,"threshold_uncertainty_score":0.01075023,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120506189","doi":"10.1007/s00291-009-0182-7","title":"A variable neighborhood search heuristic for the design of multicommodity production–distribution networks with alternative facility configurations","year":2009,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heuristics; Mathematical optimization; Tabu search; Solver; Variable neighborhood search; Computer science; Variable (mathematics); Heuristic; Network planning and design; Integer programming; Facility location problem; Extension (predicate logic); Metaheuristic; Mathematics","authors":[{"name":"Houssam Amrani","is_ca":true},{"name":"Alain Martel","is_ca":true},{"name":"Nicolas Zufferey","is_ca":false},{"name":"Polina Makeeva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04701076197470409,"gpt":0.2547918940508524,"spread":0.2077811320761483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423421,0.0009429214,0.001614451,0.001385266,0.0006937268,0.0008087446,0.001735121,0.001410823,0.003123377],"category_scores_gemma":[0.00262924,0.001074726,0.0006649969,0.001107272,0.0007625946,0.001103095,0.0008066929,0.0007425536,0.0002404858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286425,"about_ca_system_score_gemma":0.001244798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008110135,"about_ca_topic_score_gemma":0.007557008,"domain_scores_codex":[0.9993922,0.0003283932,0.00001734888,0.00006965287,0.0001054139,0.00008692918],"domain_scores_gemma":[0.9987198,0.0009695693,0.00009235553,0.00003026944,0.000114896,0.00007309144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007887581,0.00004289033,0.0001638938,0.00002832308,0.00001967963,0.00003670897,0.00002572992,0.9824385,0.000201025,0.00256752,0.0005706255,0.01382622],"study_design_scores_gemma":[0.00002319328,0.00003478727,0.00004514112,0.000004923238,0.000006765161,0.000006814944,0.000008443211,0.9985518,0.00006766184,0.001017395,0.0002299576,0.000003127643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09957747,0.000893427,0.8885036,0.000314903,0.0001125781,0.0002387948,0.0001448372,0.0003565713,0.009857801],"genre_scores_gemma":[0.6862105,0.0002219595,0.3091516,0.000103844,0.00004351663,0.0003767785,0.000184169,0.00008702152,0.003620617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008110135,"threshold_uncertainty_score":0.01612586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392634046","doi":"10.1007/s00291-024-00750-6","title":"Optimization models for disaster response operations: a literature review","year":2024,"lang":"en","type":"review","venue":"OR Spectrum","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; Wilfrid Laurier University; University of Ottawa; University of New Brunswick","funders":"Government of Ontario","keywords":"Natural disaster; Emergency management; Humanitarian Logistics; Disaster response; Distribution (mathematics); Plan (archaeology); Operations research; Population; Relief Work; Coronavirus disease 2019 (COVID-19); Operations management; Business; Computer science; Geography; Economics; Sociology; Engineering; Economic growth; Medical emergency; Demography; Mathematics; Medicine","authors":[{"name":"Afshin Kamyabniya","is_ca":true},{"name":"Antoine Sauré","is_ca":true},{"name":"F. Sibel Salman","is_ca":false},{"name":"Noureddine Bénichou","is_ca":true},{"name":"Jonathan Patrick","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07134355448486228,"gpt":0.3340481590521263,"spread":0.262704604567264,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001376017,0.001591075,0.002202359,0.00240569,0.0003079494,0.002093285,0.001579143,0.001412745,0.006496211],"category_scores_gemma":[0.004937008,0.000705577,0.001404781,0.006292355,0.0004384429,0.001957196,0.0006916707,0.001380765,0.001019079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007766138,"about_ca_system_score_gemma":0.002156124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005223685,"about_ca_topic_score_gemma":0.00697572,"domain_scores_codex":[0.9995311,0.0001332885,0.000071038,0.00009292729,0.000141462,0.00003025026],"domain_scores_gemma":[0.9961213,0.003232683,0.0002013658,0.00006177417,0.0003464168,0.00003636937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009662721,0.0003000684,0.0007624028,0.06666228,0.0005238616,0.0001720032,0.0001080144,0.04714478,0.0005026287,0.02981282,0.03093382,0.8229806],"study_design_scores_gemma":[0.0001044224,0.0003958466,0.004359648,0.07719764,0.002643965,0.0008211993,0.0007107701,0.06459814,0.001040956,0.0684711,0.7794058,0.0002504177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004552144,0.9928785,0.004270628,0.0004163869,0.0001404689,0.00001332283,0.0001007787,0.00001862719,0.001706095],"genre_scores_gemma":[0.005216581,0.9908453,0.003078924,0.0001309092,0.0002178719,0.00001851915,0.0001151759,0.000008974802,0.0003677978],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006496211,"threshold_uncertainty_score":0.02173203,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1913567289","doi":"10.1007/s00291-015-0413-z","title":"Constructive and blocking power in collaborative transportation","year":2015,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Constructive; Blocking (statistics); Computer science; Block (permutation group theory); Power (physics); Operations research; Business; Industrial organization; Computer network; Process (computing); Engineering; Mathematics","authors":[{"name":"Mario Guajardo","is_ca":false},{"name":"Kurt Jörnsten","is_ca":false},{"name":"Mikael Rönnqvist","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02700309089256899,"gpt":0.2278341698678038,"spread":0.2008310789752348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00597369,0.0007261484,0.001991511,0.001743019,0.002646045,0.005440369,0.00319962,0.002619665,0.01420638],"category_scores_gemma":[0.03973797,0.0008955606,0.0011619,0.001863422,0.006761,0.009075466,0.003221866,0.002525399,0.0008357128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002412009,"about_ca_system_score_gemma":0.002109793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003481546,"about_ca_topic_score_gemma":0.002685021,"domain_scores_codex":[0.9944576,0.003092062,0.0002150038,0.0005703134,0.000763547,0.0009014431],"domain_scores_gemma":[0.9429734,0.0455759,0.003186931,0.003351131,0.002708282,0.002204329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006188098,0.00004225562,0.0003785333,0.00002946515,0.00001286149,0.00003949941,0.0002107018,0.02322956,0.000423241,0.9721608,0.0005872923,0.002823868],"study_design_scores_gemma":[0.00003930615,0.00002640972,0.0001775043,0.0000120711,0.00001705475,0.00004569897,0.0002146048,0.1187754,0.0003604718,0.8795143,0.0007999339,0.00001729499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3311757,0.0004712314,0.5942526,0.002194413,0.000121549,0.00009208414,0.0001412617,0.0001919389,0.07135922],"genre_scores_gemma":[0.9818006,0.0001726433,0.009726337,0.0001093868,0.00008130699,0.00007576931,0.00004032084,0.00005439989,0.007939217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01420638,"threshold_uncertainty_score":0.04752505,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003896377","doi":"10.1007/s00291-012-0300-9","title":"A dynamic game with monopolist manufacturer and price-competing duopolist retailers","year":2012,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Microeconomics; Purchasing; Payment; Product (mathematics); Nash equilibrium; Business; Dynamic pricing; Revenue; Quality (philosophy); Production (economics); Sequential game; Game theory; Industrial organization; Economics; Commerce; Marketing","authors":[{"name":"Fouad El Ouardighi","is_ca":false},{"name":"Steffen Jørgensen","is_ca":false},{"name":"Fédérico Pasin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01219450315128455,"gpt":0.2134554923158673,"spread":0.2012609891645827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002170374,0.001569426,0.002366949,0.001050408,0.001760063,0.005279062,0.003528014,0.006878388,0.01504664],"category_scores_gemma":[0.004571885,0.001692086,0.001198907,0.001182915,0.003429622,0.00622568,0.002942725,0.002487186,0.000937462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003738253,"about_ca_system_score_gemma":0.002283128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007464776,"about_ca_topic_score_gemma":0.007036317,"domain_scores_codex":[0.9979972,0.0008651821,0.00006640376,0.0003950124,0.0002820267,0.0003941328],"domain_scores_gemma":[0.9956221,0.002954484,0.0002968777,0.000164356,0.0001987932,0.0007634554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001307001,0.0005412679,0.001295095,0.0003644328,0.0001762277,0.002561656,0.0004244455,0.452149,0.00476026,0.5211336,0.006542129,0.008744857],"study_design_scores_gemma":[0.0006670046,0.0006303495,0.0006906042,0.00006260609,0.0001100612,0.0006883115,0.0005128086,0.8374778,0.0006155655,0.1515522,0.006852472,0.0001401159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4222237,0.0008508954,0.3310568,0.008122061,0.0003973352,0.0008559758,0.001699938,0.000349781,0.2344435],"genre_scores_gemma":[0.9548991,0.0003099049,0.01348322,0.0003507733,0.00008662696,0.0001606469,0.0001293645,0.00002212052,0.03055821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504664,"threshold_uncertainty_score":0.05033606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2767827514","doi":"10.1007/s00291-017-0494-y","title":"Alternative formulations and improved bounds for the multi-depot fleet size and mix vehicle routing problem","year":2017,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval; GLS Industries (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Alfaisal University","keywords":"Vehicle routing problem; Solver; Mathematical optimization; Computer science; Routing (electronic design automation); Lexicographical order; Set (abstract data type); Variable (mathematics); Index (typography); Mathematics","authors":[{"name":"Rahma Lahyani","is_ca":false},{"name":"Leandro C. Coelho","is_ca":true},{"name":"Jacques Renaud","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02853513358007114,"gpt":0.3022419602526386,"spread":0.2737068266725674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008336602,0.002973937,0.001669305,0.003505422,0.0009432633,0.005692572,0.004293403,0.002977846,0.01247063],"category_scores_gemma":[0.02180181,0.001084793,0.002967779,0.003946567,0.001506005,0.007208604,0.002556185,0.006305843,0.001404982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004789684,"about_ca_system_score_gemma":0.003286016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003413407,"about_ca_topic_score_gemma":0.005092435,"domain_scores_codex":[0.9910069,0.003652455,0.0003565401,0.0009254882,0.003129027,0.0009296441],"domain_scores_gemma":[0.9814641,0.01376817,0.00140853,0.001326593,0.001676311,0.0003563548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003396962,0.0002759994,0.0008887779,0.0008231957,0.000197321,0.0001475455,0.0001850729,0.7914661,0.001594334,0.1227356,0.008785235,0.07256115],"study_design_scores_gemma":[0.00009670389,0.0002096018,0.0004388113,0.0002997557,0.00009449737,0.0001302022,0.0001544907,0.9319537,0.001692476,0.05150627,0.01338226,0.00004109492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03666268,0.01296775,0.8920743,0.002570029,0.0008875195,0.0003485488,0.001258585,0.0008001372,0.05243034],"genre_scores_gemma":[0.2941405,0.008685576,0.6852851,0.00121524,0.0008607359,0.0006890912,0.002116641,0.0007822018,0.006224833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01247063,"threshold_uncertainty_score":0.04408872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002130487","doi":"10.1007/s00291-011-0243-6","title":"DEA based models for reallocations of police personnel","year":2011,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Centre for Management of Technology and Entrepreneurship, University of Toronto","keywords":"Data envelopment analysis; Productivity; Computer science; Unit (ring theory); Set (abstract data type); Service (business); Metropolitan area; Operations research; Operations management; Business; Risk analysis (engineering); Marketing; Economics","authors":[{"name":"Mette Asmild","is_ca":false},{"name":"Joseph C. Paradi","is_ca":true},{"name":"Jesús T. Pastor","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2319907289797624,"gpt":0.3833863458772496,"spread":0.1513956168974872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005619629,0.001839657,0.002982798,0.002391608,0.0008706914,0.003652907,0.00296964,0.00287398,0.01023041],"category_scores_gemma":[0.01358209,0.00169233,0.002209177,0.002953305,0.001485017,0.003832474,0.001858553,0.002983854,0.001108777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004541619,"about_ca_system_score_gemma":0.001796388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695759,"about_ca_topic_score_gemma":0.01302818,"domain_scores_codex":[0.9972116,0.001612704,0.0001068149,0.0003906291,0.0003208057,0.0003573292],"domain_scores_gemma":[0.9899297,0.008127852,0.000713245,0.0003908864,0.0006268585,0.0002114415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002298254,0.00002051513,0.000171448,0.00002178391,0.00002121512,0.00001518829,0.0000156073,0.9727474,0.00005915177,0.02452981,0.0003336896,0.002041114],"study_design_scores_gemma":[0.000006075263,0.000006640124,0.00008298774,0.000005746871,0.000009188512,0.00000738155,0.00001279573,0.9851131,0.00004479783,0.01440086,0.0003050028,0.00000541699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0465499,0.0007344644,0.9365128,0.001267236,0.0001220183,0.0001434815,0.001060083,0.0001948044,0.01341534],"genre_scores_gemma":[0.886929,0.001308405,0.07417455,0.0002666312,0.0001512918,0.0005423815,0.000959129,0.000166434,0.03550215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01695759,"threshold_uncertainty_score":0.03422415,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058943753","doi":"10.1007/s00291-012-0288-1","title":"Health care operations management","year":2012,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Health care; Operations management; Process management; Business","authors":[{"name":"Michael Carter","is_ca":true},{"name":"Erwin W. Hans","is_ca":false},{"name":"Rainer Kolisch","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06171319000001652,"gpt":0.4534959083493861,"spread":0.3917827183493696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003211941,0.001033703,0.0009080474,0.001861517,0.001332236,0.006369779,0.001274289,0.001883418,0.03492999],"category_scores_gemma":[0.008603635,0.0002716162,0.0006958655,0.004345271,0.001190143,0.002804755,0.001739972,0.002083874,0.006071813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003966533,"about_ca_system_score_gemma":0.006882233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002758592,"about_ca_topic_score_gemma":0.00178263,"domain_scores_codex":[0.9951159,0.001684058,0.0004356417,0.0005678291,0.001740043,0.000456586],"domain_scores_gemma":[0.9953347,0.001850859,0.0006028943,0.000412877,0.001308403,0.0004903303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006808706,0.000126047,0.001544257,0.0008000451,0.0001022184,0.00015847,0.0002314704,0.01638296,0.0004612881,0.4418173,0.2474708,0.290837],"study_design_scores_gemma":[0.00004213452,0.0001921446,0.00179965,0.0006563521,0.00003297049,0.0002282901,0.000772786,0.03616846,0.0005814289,0.2868226,0.6726455,0.00005757552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01248156,0.05604472,0.2174211,0.08047511,0.01187413,0.001735488,0.003835139,0.0007701393,0.6153626],"genre_scores_gemma":[0.4826096,0.121085,0.1457215,0.01027921,0.01676844,0.001942556,0.006126138,0.0002867011,0.2151809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03492999,"threshold_uncertainty_score":0.1168525,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220718688","doi":"10.1007/s00291-022-00670-3","title":"Mobile healthcare services in rural areas: an application with periodic location routing problem","year":2022,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Health care; Christian ministry; Heuristic; Computer science; Routing (electronic design automation); Population; Rural area; Focus (optics); Operations research; Business; Computer network; Mathematics; Artificial intelligence; Economic growth; Medicine; Economics; Environmental health","authors":[{"name":"Sinem Savaşer","is_ca":true},{"name":"Bahar Y. Kara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007366936327757205,"gpt":0.2519793368814436,"spread":0.2446124005536864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008155828,0.0008770002,0.0007611368,0.0005607305,0.0006268892,0.001028387,0.0009648426,0.001963744,0.003576498],"category_scores_gemma":[0.001818597,0.0003768433,0.0008184314,0.001108398,0.0004704261,0.0008201891,0.0007091914,0.0006453966,0.0001661075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000881114,"about_ca_system_score_gemma":0.0008561895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01230789,"about_ca_topic_score_gemma":0.007601293,"domain_scores_codex":[0.9995927,0.0002200221,0.00001000296,0.00007107125,0.00004507498,0.00006115913],"domain_scores_gemma":[0.9990965,0.0006651378,0.00008227062,0.0000255371,0.00007211196,0.00005847173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008677464,0.0001125486,0.001054103,0.00009386523,0.00003300335,0.0003475658,0.00004833906,0.9737635,0.0006939353,0.008510029,0.001951994,0.01330442],"study_design_scores_gemma":[0.00001148173,0.00003284327,0.000208721,0.000003935969,0.00001033525,0.00005338126,0.00006307919,0.9966393,0.0001181807,0.002387312,0.0004667698,0.000004635781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3956083,0.001777233,0.5783057,0.003423195,0.0003897568,0.0002111508,0.0005826531,0.0003783266,0.01932368],"genre_scores_gemma":[0.9155262,0.0008747503,0.07420968,0.0001183641,0.0001267736,0.00007208849,0.0001980732,0.00006181887,0.008812282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01230789,"threshold_uncertainty_score":0.02447248,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000726943","doi":"10.1007/s00291-012-0294-3","title":"Availability maximization under partial observations","year":2012,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Unobservable; Mathematical optimization; Computer science; Maximization; Control limits; Markov decision process; Observable; Optimal control; Markov process; Mathematics; Process (computing); Econometrics; Statistics; Control chart","authors":[{"name":"Rui Jiang","is_ca":true},{"name":"Michael J. Kim","is_ca":true},{"name":"Viliam Makiš","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02922192082668036,"gpt":0.2253394337205343,"spread":0.196117512893854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002168119,0.00136494,0.002004993,0.0007536626,0.0004125094,0.001779313,0.001282092,0.001429045,0.003347364],"category_scores_gemma":[0.01198747,0.001197711,0.0009156693,0.001412944,0.001528314,0.002810749,0.001501894,0.001562225,0.000468994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009235396,"about_ca_system_score_gemma":0.0008613803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029629,"about_ca_topic_score_gemma":0.001314467,"domain_scores_codex":[0.9986402,0.0006201398,0.00004762934,0.0003000133,0.0002402089,0.0001517616],"domain_scores_gemma":[0.9894409,0.008837088,0.0007163227,0.0004102213,0.0003985526,0.0001970459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004730438,0.0000621737,0.0009609023,0.0002763042,0.0001377491,0.0002839672,0.0001168257,0.9229359,0.00283085,0.05054003,0.002819346,0.0185629],"study_design_scores_gemma":[0.00002261252,0.00003086164,0.0004524065,0.0000158694,0.00001953243,0.00005710972,0.0000171581,0.9536383,0.0005660747,0.0448722,0.0002951182,0.00001269888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1069326,0.0007993758,0.8809071,0.001652548,0.00009813796,0.00006344233,0.001000136,0.0003394157,0.008207257],"genre_scores_gemma":[0.9513257,0.0006637381,0.04058773,0.0001839609,0.0003316475,0.000114168,0.0005888758,0.0001385705,0.006065692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003347364,"threshold_uncertainty_score":0.01146626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1993152726","doi":"10.1007/s00291-007-0117-0","title":"A shelf-space-dependent wholesale price when manufacturer and retailer brands compete","year":2008,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad de Valladolid","keywords":"National brand; Incentive; Business; Profit (economics); Order (exchange); Imitation; Microeconomics; Competition (biology); Private label; Space (punctuation); Nash equilibrium; Game theory; Benchmark (surveying); Industrial organization; Marketing; Advertising; Economics; Computer science; Finance","authors":[{"name":"Nawel Amrouche","is_ca":false},{"name":"Georges Zaccour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01980426830246395,"gpt":0.2147099716133769,"spread":0.1949057033109129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001147559,0.0001599728,0.0004262649,0.0002973767,0.0004040044,0.00216709,0.000753816,0.001285438,0.00839504],"category_scores_gemma":[0.01288779,0.0004279218,0.0003389865,0.0003122262,0.000776975,0.002352171,0.0005923982,0.001251891,0.0007462529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007664739,"about_ca_system_score_gemma":0.0004601376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096934,"about_ca_topic_score_gemma":0.005095828,"domain_scores_codex":[0.9995679,0.0001177565,0.00002107235,0.0001075091,0.00009715835,0.00008864991],"domain_scores_gemma":[0.994175,0.004246485,0.0004754527,0.0003142628,0.0004176441,0.0003710872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01856748,0.003899654,0.4506745,0.0004797716,0.0004631018,0.003495224,0.004369145,0.06894014,0.140669,0.193288,0.01225103,0.1029029],"study_design_scores_gemma":[0.0002553964,0.000771015,0.5662937,0.00005736392,0.0003590448,0.0009362714,0.004660304,0.3307201,0.00940691,0.08407534,0.002278657,0.0001858818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856127,0.00005496537,0.003510108,0.0003547219,0.00002125254,0.00001452758,0.00008407139,0.00002759213,0.01032014],"genre_scores_gemma":[0.9986978,0.00001418351,0.0002931612,0.0000348965,0.000004764388,0.000003190415,0.00003128693,0.000007083552,0.000913632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00839504,"threshold_uncertainty_score":0.02808422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297492116","doi":"10.1007/s00291-022-00693-w","title":"Machine learning techniques for cross-sectional equity returns’ prediction","year":2022,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Universität Bremen","keywords":"Machine learning; Computer science; Artificial intelligence; Random forest; Support vector machine; Portfolio; Benchmark (surveying); Artificial neural network; Stock (firearms); Econometrics; Decision tree; Regression; Economics; Financial economics; Mathematics; Statistics","authors":[{"name":"Christian Fieberg","is_ca":true},{"name":"Daniel Metko","is_ca":true},{"name":"Thorsten Poddig","is_ca":false},{"name":"Thomas Loy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05480379686306359,"gpt":0.2802640547166015,"spread":0.2254602578535379,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005560388,0.0006818144,0.0009210311,0.003137315,0.0002990419,0.0009175958,0.0008399428,0.0009495979,0.002006091],"category_scores_gemma":[0.01563138,0.0002984179,0.0007111866,0.002081598,0.0003388529,0.001275812,0.0008201567,0.001380402,0.0009325044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005412893,"about_ca_system_score_gemma":0.0006523038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004883688,"about_ca_topic_score_gemma":0.002861426,"domain_scores_codex":[0.9987158,0.0006552098,0.0001102618,0.0001922264,0.0002385079,0.00008811381],"domain_scores_gemma":[0.9910499,0.007170112,0.0006142395,0.0004587465,0.0006057539,0.0001012624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002078821,0.0002317162,0.03356589,0.0001132373,0.0003447344,0.0001126455,0.0000611086,0.7479348,0.001171521,0.004311097,0.002057363,0.2098881],"study_design_scores_gemma":[0.000003434447,0.00001936775,0.001948393,0.0000075049,0.000007261031,0.00001369182,0.000005613036,0.9959314,0.000176313,0.001740174,0.0001427497,0.000004008022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3743217,0.00584179,0.6105172,0.001570988,0.0002173436,0.00008292135,0.000889347,0.002623636,0.003935124],"genre_scores_gemma":[0.939846,0.0007798401,0.05702301,0.00009602251,0.0001369414,0.0000664478,0.0007512979,0.00004831936,0.001252138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005560388,"threshold_uncertainty_score":0.02940649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086702508","doi":"10.1007/s00291-005-0026-z","title":"Semi-Markov information model for revenue management and dynamic pricing","year":2006,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Revenue management; Yield management; Revenue; Dynamic pricing; Computer science; Variable (mathematics); Markov decision process; Markov chain; Operations research; Business; Yield (engineering); Microeconomics; Markov process; Marketing; Economics; Finance; Mathematics","authors":[{"name":"Darius Walczak","is_ca":false},{"name":"Shelby L. Brumelle","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008316954873898075,"gpt":0.2042421732937018,"spread":0.1959252184198037,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005561126,0.002103178,0.004983504,0.002000117,0.00146803,0.004672484,0.005237477,0.00522938,0.01892775],"category_scores_gemma":[0.01646662,0.002333664,0.002439266,0.003050598,0.003302755,0.009806622,0.002381186,0.005633253,0.002472784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004995648,"about_ca_system_score_gemma":0.003471288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0188615,"about_ca_topic_score_gemma":0.0124606,"domain_scores_codex":[0.9971281,0.001144378,0.0001399728,0.000501478,0.0005216372,0.0005644251],"domain_scores_gemma":[0.9837194,0.01311121,0.0009371272,0.0006894628,0.001072956,0.000469902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001585056,0.0001121673,0.0003858789,0.0001091533,0.00007776608,0.0001877718,0.0001056763,0.5373976,0.0003271522,0.4489309,0.004562119,0.007645326],"study_design_scores_gemma":[0.00001890617,0.00001167879,0.00006491864,0.00001083729,0.00001399354,0.00001835352,0.000009383355,0.894091,0.0000473179,0.1052528,0.0004430932,0.00001775947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02408949,0.001246864,0.9594421,0.00256996,0.0002430414,0.0001126736,0.001497079,0.000542891,0.01025585],"genre_scores_gemma":[0.8653962,0.00283119,0.06990115,0.0008763957,0.0006623478,0.0005691517,0.002166112,0.0003386935,0.05725883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01892775,"threshold_uncertainty_score":0.06331962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2511288762","doi":"10.1007/s00291-016-0457-8","title":"A continuous approximation model for the fleet composition problem on the rectangular grid","year":2016,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Grid; Computer science; Computation; Constraint (computer-aided design); Mathematical optimization; Heuristic; Sensitivity (control systems); Service (business); Limit (mathematics); Mathematics; Algorithm; Geometry","authors":[{"name":"Mehdi Nourinejad","is_ca":true},{"name":"Matthew J. Roorda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01910561187786955,"gpt":0.2239053565012522,"spread":0.2047997446233827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574558,0.0008812509,0.001780243,0.0007559389,0.0005008751,0.002046662,0.003038647,0.002252618,0.008638034],"category_scores_gemma":[0.005124298,0.0007969107,0.001098227,0.001742876,0.001245961,0.002101126,0.001492125,0.00238715,0.0006935909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023525,"about_ca_system_score_gemma":0.001671395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02510711,"about_ca_topic_score_gemma":0.0118231,"domain_scores_codex":[0.9993089,0.0002795722,0.0000237181,0.0001558915,0.00009704049,0.0001347685],"domain_scores_gemma":[0.998376,0.001039158,0.0001573255,0.00007787834,0.0001892223,0.0001604114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005467912,0.00002255991,0.0002535951,0.00004287616,0.00001410728,0.00005608266,0.00003216855,0.9387013,0.0001796108,0.05592488,0.001302148,0.003416047],"study_design_scores_gemma":[0.000005629304,0.000005776478,0.00002259735,0.000003432714,0.000002469505,0.000006233806,0.000009436558,0.9925395,0.00001825886,0.007081868,0.0003024908,0.00000234725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02887424,0.0005122774,0.9618077,0.00100812,0.0001000181,0.00004973136,0.0003943824,0.0001701336,0.007083384],"genre_scores_gemma":[0.7996134,0.001281002,0.1712512,0.0002467574,0.0001313727,0.0002314214,0.0009329073,0.0001978369,0.02611402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02510711,"threshold_uncertainty_score":0.04992193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016796137","doi":"10.1007/s00291-004-0175-5","title":"A replenishment decision involving partial postponement","year":2004,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Postponement; Computer science; Operations research; Order (exchange); Stock (firearms); Inventory management; Set (abstract data type); Operations management; Economics; Mathematics; Finance","authors":[{"name":"Edward A. Silver","is_ca":true},{"name":"Stefan Minner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01370071992715987,"gpt":0.2190604007520816,"spread":0.2053596808249218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004360187,0.001188205,0.001463333,0.001606056,0.001512751,0.004110101,0.002230864,0.003945094,0.0246499],"category_scores_gemma":[0.009509834,0.001058415,0.001198772,0.0009544184,0.001028297,0.003977286,0.001576475,0.002021265,0.001171364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485814,"about_ca_system_score_gemma":0.002525004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002615763,"about_ca_topic_score_gemma":0.002748441,"domain_scores_codex":[0.9979842,0.0005594303,0.0001178529,0.0003800587,0.0004740084,0.0004844426],"domain_scores_gemma":[0.9952129,0.002909985,0.0003232118,0.0004261472,0.0004795021,0.0006482616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009804925,0.002064688,0.007035891,0.0006417658,0.0002415242,0.006284018,0.001078766,0.4606055,0.04859245,0.1209059,0.01105786,0.3316867],"study_design_scores_gemma":[0.0004229026,0.003234084,0.005506921,0.0001370144,0.0003261842,0.001383059,0.0009023842,0.9086534,0.01296689,0.055115,0.01113943,0.0002127182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297211,0.0008537476,0.1797644,0.003019636,0.0004041302,0.0009232656,0.0004598129,0.00091646,0.08393731],"genre_scores_gemma":[0.9698495,0.000101027,0.01906373,0.0001141833,0.00006637062,0.00004868372,0.00006336004,0.00004346022,0.01064964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0246499,"threshold_uncertainty_score":0.08246207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030580634","doi":"10.1007/s00291-009-0192-5","title":"Deriving a minimum distance-based collective preorder: a binary mathematical programming approach","year":2010,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada; Université Laval","funders":"","keywords":"Preorder; Binary relation; Transitive relation; Mathematics; Linear programming; Ranking (information retrieval); Binary number; Preference; Computer science; Combinatorics; Mathematical optimization; Algorithm; Discrete mathematics; Artificial intelligence; Statistics","authors":[{"name":"Khaled Jabeur","is_ca":false},{"name":"Jean‐Marc Martel","is_ca":true},{"name":"Adel Guitouni","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09501258977061526,"gpt":0.3844359962684172,"spread":0.2894234064978019,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00488067,0.001171776,0.001923259,0.002888988,0.001206286,0.003341022,0.002614695,0.002035723,0.004272024],"category_scores_gemma":[0.0115694,0.0008817557,0.002071997,0.002190587,0.002689392,0.006028751,0.003233523,0.003758734,0.0006186267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187544,"about_ca_system_score_gemma":0.002126701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009635933,"about_ca_topic_score_gemma":0.001267316,"domain_scores_codex":[0.9969707,0.001270882,0.0001846914,0.0003979102,0.0009874236,0.0001885048],"domain_scores_gemma":[0.993884,0.004263149,0.0004799808,0.0003789675,0.0007307604,0.0002630333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004696631,0.0001410628,0.0003529547,0.0002139212,0.00006397897,0.00008265294,0.0002494199,0.2378215,0.001672805,0.7242762,0.001523859,0.03355462],"study_design_scores_gemma":[0.000009319641,0.00005893684,0.0001035817,0.00004557697,0.0000167687,0.00003660023,0.00005271112,0.595573,0.0006274835,0.4022098,0.001245852,0.00002028311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004812545,0.00006206695,0.9918348,0.0002085624,0.0000248725,0.00002894502,0.0000233835,0.00001931391,0.00298554],"genre_scores_gemma":[0.2360631,0.0003479038,0.7565985,0.0002233713,0.0001597594,0.00039104,0.00013651,0.0001050838,0.005974729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00488067,"threshold_uncertainty_score":0.02581173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2771722649","doi":"10.1007/s00291-017-0502-2","title":"Equilibrium consumption and portfolio decisions with stochastic discount rate and time-varying utility functions","year":2017,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Portfolio; Consumption (sociology); Stochastic discount factor; Economics; Expected utility hypothesis; Mathematical economics; Computer science; Microeconomics; Econometrics; Mathematical optimization; Mathematics; Financial economics; Capital asset pricing model","authors":[{"name":"Huiling Wu","is_ca":false},{"name":"Chengguo Weng","is_ca":true},{"name":"Yan Zeng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04128172389244446,"gpt":0.2532613614766722,"spread":0.2119796375842278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002956501,0.001140813,0.001673635,0.001045387,0.0004967317,0.004382335,0.001941299,0.003294092,0.007560636],"category_scores_gemma":[0.01475988,0.001281937,0.001437666,0.00123518,0.002130948,0.006332554,0.001598959,0.002160917,0.0008962982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391629,"about_ca_system_score_gemma":0.001226303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004935776,"about_ca_topic_score_gemma":0.003171671,"domain_scores_codex":[0.9988017,0.0005802832,0.0000516229,0.0002374846,0.0001421721,0.0001867021],"domain_scores_gemma":[0.9949054,0.003615838,0.0006371724,0.0002406799,0.0003186661,0.0002823718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000172204,0.0001137353,0.001076302,0.00007875611,0.00007801834,0.0002890406,0.0001594896,0.2480382,0.0006842249,0.7416806,0.001844036,0.005785365],"study_design_scores_gemma":[0.00006636736,0.00003451193,0.0006416217,0.00002917999,0.00003584979,0.00008104696,0.00008772397,0.5892274,0.0002275344,0.4088364,0.0006967814,0.00003568293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3692409,0.001424614,0.5946667,0.003929174,0.0001756138,0.0001304133,0.0009705175,0.0002616635,0.0292005],"genre_scores_gemma":[0.9371765,0.001225799,0.02598144,0.0001928638,0.0001400045,0.0001196545,0.0004362492,0.00009733556,0.03463017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007560636,"threshold_uncertainty_score":0.02529287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4316591874","doi":"10.1007/s00291-023-00706-2","title":"An alternative approach to address uncertainty in hub location","year":2023,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Measure (data warehouse); Network planning and design; Flow network; Scale (ratio); Operations research; Data mining; Mathematics","authors":[{"name":"Marc Janschekowitz","is_ca":false},{"name":"Gita Taherkhani","is_ca":false},{"name":"Sibel A. Alumur","is_ca":true},{"name":"Stefan Nickel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04089472222849712,"gpt":0.3383161528936501,"spread":0.297421430665153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001811175,0.001159813,0.001572369,0.001698236,0.0007457745,0.002903569,0.00407043,0.003282686,0.01071711],"category_scores_gemma":[0.006155982,0.0005840501,0.002105324,0.002855679,0.001098842,0.00370354,0.002270357,0.002340371,0.0007064675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650704,"about_ca_system_score_gemma":0.002220792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007582915,"about_ca_topic_score_gemma":0.00801193,"domain_scores_codex":[0.9980476,0.0008260921,0.00006409031,0.0003558975,0.0005571128,0.0001491026],"domain_scores_gemma":[0.9979437,0.001010204,0.0001937391,0.0002355603,0.000520147,0.00009664967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000734624,0.0002030741,0.000826163,0.000213956,0.0002842114,0.0001841129,0.0001839782,0.5072401,0.001167026,0.4123913,0.006791805,0.0704408],"study_design_scores_gemma":[0.00002750762,0.00006726054,0.0002217454,0.00003161138,0.0000495378,0.00006391024,0.00007496946,0.8137751,0.0003116836,0.1789647,0.006389196,0.0000228372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00431401,0.0001696542,0.9832582,0.001646816,0.0002353033,0.00004501086,0.0001976866,0.00005872069,0.01007463],"genre_scores_gemma":[0.4768218,0.0007892408,0.4920353,0.001441125,0.0009233692,0.0003209795,0.0003254563,0.0001293321,0.02721341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01071711,"threshold_uncertainty_score":0.03585237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400765328","doi":"10.1007/s00291-024-00781-z","title":"New formulations for the robust vehicle routing problem with time windows under demand and travel time uncertainty","year":2024,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Transport Canada; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Time travel; Vehicle routing problem; Travel time; Computer science; Routing (electronic design automation); Operations research; Transport engineering; Engineering; Computer network; Artificial intelligence","authors":[{"name":"Rafael Ajudarte de Campos","is_ca":true},{"name":"Leandro C. Coelho","is_ca":true},{"name":"Pedro Munari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01668755978827202,"gpt":0.2456207355458993,"spread":0.2289331757576273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002245919,0.001858791,0.001096605,0.0008901471,0.000294528,0.00185841,0.002066909,0.001856245,0.00654697],"category_scores_gemma":[0.005068684,0.0008464459,0.001257312,0.001078215,0.0007881772,0.002741452,0.00150874,0.002400674,0.0008767942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430277,"about_ca_system_score_gemma":0.001357282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003395447,"about_ca_topic_score_gemma":0.003269654,"domain_scores_codex":[0.9991227,0.0003416691,0.00004307997,0.0001618775,0.0002544324,0.00007628139],"domain_scores_gemma":[0.9984521,0.0009429512,0.0002177118,0.00008075245,0.0002505332,0.00005602121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002947751,0.00003743746,0.0001113701,0.0001346606,0.00004255109,0.00006102229,0.00004856285,0.8583754,0.001150249,0.1183535,0.002451449,0.01920431],"study_design_scores_gemma":[0.000004823539,0.000009148398,0.00002644111,0.00001189417,0.000006916369,0.00001106432,0.000009128119,0.9829109,0.0001151114,0.01547689,0.001412249,0.000005449204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001147303,0.0002756438,0.9955086,0.0001275066,0.00006316236,0.00001966646,0.00005804218,0.00003201321,0.002768097],"genre_scores_gemma":[0.2300642,0.003119979,0.7367485,0.0005131317,0.0006684845,0.0005927199,0.0006670242,0.000585812,0.0270402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00654697,"threshold_uncertainty_score":0.02190179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2799898928","doi":"10.1007/s00291-018-0518-2","title":"Multilevel rationing policy for spare parts when demand is state dependent","year":2018,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Spare part; Rationing; State (computer science); Microeconomics; Computer science; Economics; Operations management","authors":[{"name":"Pedram Sahba","is_ca":true},{"name":"Barış Balciog̃lu","is_ca":false},{"name":"Dragan Banjević","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03858298356223652,"gpt":0.2713153454680901,"spread":0.2327323619058535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002895102,0.0006086059,0.001841697,0.0008628951,0.0005920937,0.003005116,0.002006514,0.001506911,0.02257195],"category_scores_gemma":[0.006862533,0.0006253613,0.001351483,0.0008181398,0.0007442421,0.003535396,0.001811337,0.001790654,0.001111174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017945,"about_ca_system_score_gemma":0.001653796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00469858,"about_ca_topic_score_gemma":0.00593636,"domain_scores_codex":[0.9977794,0.0006068939,0.0001053039,0.0005363044,0.0002899891,0.0006821107],"domain_scores_gemma":[0.9956546,0.002492874,0.0005332826,0.0005540705,0.0004251225,0.0003400541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002310944,0.0009225803,0.01310831,0.00072309,0.0005572492,0.0006668389,0.0005626203,0.4889339,0.018048,0.2735614,0.01008203,0.190523],"study_design_scores_gemma":[0.0001713766,0.0007298948,0.0117535,0.0001092196,0.0002314128,0.0003083281,0.0003651519,0.8592246,0.003966905,0.1160541,0.006976458,0.0001090531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4968627,0.0008815823,0.4234038,0.003275935,0.0003444054,0.0005540823,0.001496185,0.001362237,0.07181907],"genre_scores_gemma":[0.9826209,0.0001061508,0.0126129,0.0001505695,0.00006503663,0.0000381975,0.0001036889,0.00003542221,0.00426719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02257195,"threshold_uncertainty_score":0.07551068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392139766","doi":"10.1007/s00291-024-00749-z","title":"Optimal consumption and investment in general affine GARCH models","year":2024,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Homoscedasticity; Autoregressive conditional heteroskedasticity; Consumption (sociology); Heteroscedasticity; Conditional variance; Econometrics; Economics; Variance (accounting); Affine transformation; Gaussian; Mathematics; Computer science; Volatility (finance)","authors":[{"name":"Marcos Escobar‐Anel","is_ca":true},{"name":"Ben Spies","is_ca":false},{"name":"Rudi Zagst","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04793887437472275,"gpt":0.2571650337813429,"spread":0.2092261594066202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00221472,0.0006435234,0.001559951,0.0006914671,0.0003700365,0.002770347,0.0009427009,0.001769366,0.003269703],"category_scores_gemma":[0.01198413,0.0009584407,0.0008005675,0.0009671767,0.001760793,0.004132096,0.0009961212,0.001445935,0.0001877496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656564,"about_ca_system_score_gemma":0.0009209566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005794516,"about_ca_topic_score_gemma":0.005026279,"domain_scores_codex":[0.9994078,0.0003337292,0.00002706603,0.0001012696,0.00004878175,0.00008152525],"domain_scores_gemma":[0.9953172,0.003656472,0.0004835742,0.000177869,0.0001660225,0.0001988572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001600696,0.00008426046,0.002269086,0.0001065344,0.00009694335,0.0002098845,0.0001656641,0.4743166,0.0008114799,0.512882,0.001397282,0.007500173],"study_design_scores_gemma":[0.00002625483,0.0000200679,0.000932238,0.00001298692,0.00001992594,0.00002215492,0.00005203069,0.6234919,0.0001075217,0.3750185,0.0002793103,0.00001717887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.644576,0.003087755,0.3330249,0.004100244,0.0001521205,0.00003701912,0.0003254488,0.0002759062,0.01442065],"genre_scores_gemma":[0.9845318,0.0009196569,0.007484316,0.00008959066,0.00008312406,0.00001626983,0.0001160908,0.00004791996,0.006711199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005794516,"threshold_uncertainty_score":0.01201928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996765127","doi":"10.1007/s00291-004-0184-4","title":"Maximizing cover probability by using multivariate normal distributions","year":2004,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Multivariate normal distribution; Cover (algebra); Selection (genetic algorithm); Hypercube; Mathematics; Mathematical optimization; Probability distribution; Statistics; Computer science; Combinatorics; Artificial intelligence","authors":[{"name":"Zvi Drezner","is_ca":false},{"name":"George O. Wesolowsky","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.019054642963723,"gpt":0.2458075405766056,"spread":0.2267528976128826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002943508,0.0008395243,0.001136456,0.001554572,0.0003431923,0.001194676,0.001145702,0.0009238946,0.002127618],"category_scores_gemma":[0.01234306,0.0006481638,0.0008448653,0.001462905,0.001016137,0.003030041,0.001465783,0.0006833359,0.000487191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007257191,"about_ca_system_score_gemma":0.0008246637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692025,"about_ca_topic_score_gemma":0.002304023,"domain_scores_codex":[0.9989799,0.0004472703,0.00004232117,0.0001696934,0.0002825821,0.00007828887],"domain_scores_gemma":[0.9966841,0.002515639,0.0002068033,0.0002582969,0.0002570098,0.00007811119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001380228,0.00007420179,0.001663914,0.0001094248,0.00007421779,0.00007189868,0.00008428774,0.7926556,0.004313676,0.07498029,0.001708405,0.1241261],"study_design_scores_gemma":[0.00001003689,0.00001119547,0.0002065579,0.000006786333,0.000008575293,0.00004346938,0.00000726298,0.9482988,0.0008961339,0.04990757,0.0005962054,0.000007441871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009950712,0.00007861023,0.9888372,0.000079762,0.00000749533,0.00001409132,0.00003435911,0.000162917,0.0008348586],"genre_scores_gemma":[0.4863411,0.000575772,0.5079359,0.0001419999,0.0001438495,0.0001761776,0.0003539833,0.0003669755,0.003964264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002943508,"threshold_uncertainty_score":0.01556689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281298271","doi":"10.1007/s00291-022-00684-x","title":"Synchronous resource allocation: modeling, capacity, and optimization","year":2022,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Resource allocation; Resource (disambiguation); Mathematical optimization; Operations research; Mathematics; Computer network","authors":[{"name":"Sigrún Andradóttir","is_ca":false},{"name":"Hayriye Ayhan","is_ca":false},{"name":"Douglas G. Down","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01579009083569939,"gpt":0.2149514411234915,"spread":0.1991613502877921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001630458,0.0006916493,0.001002152,0.0006329471,0.0005097152,0.001907424,0.001550917,0.0009401668,0.004046471],"category_scores_gemma":[0.004291426,0.0006303516,0.0005383654,0.001278427,0.00119996,0.001988823,0.0007369614,0.001139747,0.000321257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504163,"about_ca_system_score_gemma":0.002654426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01306318,"about_ca_topic_score_gemma":0.01194401,"domain_scores_codex":[0.9990774,0.0003693311,0.00002519721,0.0001266233,0.0002315075,0.0001697884],"domain_scores_gemma":[0.9977111,0.001575988,0.0002245672,0.0001059839,0.0002563689,0.0001260121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002596938,0.00004370598,0.000281923,0.00002385974,0.00001225448,0.0000283305,0.00002550388,0.9126449,0.000480634,0.0803578,0.0008297755,0.00524526],"study_design_scores_gemma":[0.000001958119,0.000003320475,0.00004320636,0.000001198644,0.00000295388,0.000003634357,0.000004401622,0.9917427,0.0000601087,0.007974783,0.0001599698,0.000001709586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0441644,0.0007789633,0.9419621,0.0007443297,0.0001182396,0.00004150501,0.0001142076,0.000173755,0.01190247],"genre_scores_gemma":[0.9444619,0.000816813,0.04305753,0.0001092929,0.0001841739,0.00008713511,0.00007762191,0.00008867423,0.01111683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01306318,"threshold_uncertainty_score":0.02597433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407921182","doi":"10.1007/s00291-025-00811-4","title":"The consistent biennial Malmquist productivity change index and ranking using the cross validation method","year":2025,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ranking (information retrieval); Index (typography); Malmquist index; Productivity; Econometrics; Statistics; Economics; Computer science; Mathematics; Total factor productivity; Information retrieval; Macroeconomics","authors":[{"name":"Narges Soltani","is_ca":true},{"name":"Zijiang Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1494501368497304,"gpt":0.4578281526203708,"spread":0.3083780157706404,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01515708,0.0007698397,0.001357034,0.00555276,0.0009698152,0.003302364,0.001466734,0.001399338,0.002109016],"category_scores_gemma":[0.03399269,0.0002990955,0.001188956,0.003189347,0.0009848643,0.002302852,0.001180329,0.001519853,0.0006349673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339998,"about_ca_system_score_gemma":0.002399941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004315854,"about_ca_topic_score_gemma":0.005079592,"domain_scores_codex":[0.9898436,0.004727991,0.0005897011,0.001145785,0.003228292,0.0004644724],"domain_scores_gemma":[0.9855656,0.008608791,0.001004931,0.001802545,0.002792968,0.0002253055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000478328,0.000387999,0.06239561,0.0003037773,0.0008175025,0.0001801024,0.0002501487,0.4448818,0.004499425,0.07491198,0.005326304,0.4055671],"study_design_scores_gemma":[0.00002256042,0.0001576707,0.02244597,0.00006454462,0.00005784054,0.00007129654,0.0001021815,0.9454992,0.00293097,0.02656501,0.002021956,0.00006080801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1370486,0.0006228376,0.8559107,0.0002618444,0.00008093835,0.00009374895,0.0005403326,0.0002797359,0.00516124],"genre_scores_gemma":[0.8210128,0.0001741088,0.1740452,0.00007278328,0.00006108618,0.0001599254,0.001129715,0.0001129844,0.003231328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01515708,"threshold_uncertainty_score":0.08015925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}