{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":37,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":37,"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":"ff5349174f4d","filters":{"venue":"Journal of Revenue and Pricing Management"}},"results":[{"id":"W2024390880","doi":"10.1057/rpm.2012.44","title":"Dynamic pricing for hotel revenue management using price multipliers","year":2012,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Alexandria University; McGill University","keywords":"Revenue management; Yield management; Revenue; Dynamic pricing; Demand management; Economics; Computer science; Operations research; Duration (music); Mathematical optimization; Econometrics; Microeconomics; Finance; Engineering; Mathematics","authors":[{"name":"AbdElMoniem Bayoumi","is_ca":false},{"name":"Mohamed Saleh","is_ca":false},{"name":"Amir F. Atiya","is_ca":false},{"name":"Heba Abdel Aziz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02242135908585213,"gpt":0.2563236868575222,"spread":0.2339023277716701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001882222,0.0002994674,0.0004093109,0.0007349958,0.0003232554,0.0001985063,0.0003506809,0.00006607352,0.00001885166],"category_scores_gemma":[0.00004812194,0.0002846112,0.0002026494,0.000472506,0.0000481488,0.001165241,0.0003453596,0.0001925448,0.00001719665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927367,"about_ca_system_score_gemma":0.000008112767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003289461,"about_ca_topic_score_gemma":0.000005092385,"domain_scores_codex":[0.9979504,0.00002830458,0.0006840545,0.0002685275,0.0004442938,0.0006244218],"domain_scores_gemma":[0.9985464,0.00005674052,0.0009236004,0.0002946215,0.0001177953,0.00006080138],"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":[0.001425757,0.002341602,0.0749741,0.02813459,0.005715201,0.0006089681,0.004223427,0.009013701,0.002831925,0.06245263,0.1757617,0.6325164],"study_design_scores_gemma":[0.003202357,0.0000842485,0.02637821,0.001390404,0.001440051,0.00004831787,0.002339886,0.008176974,0.00004530091,0.003596446,0.9525412,0.0007565616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450227,0.007240547,0.1198439,0.001838234,0.007396109,0.004073682,0.00002929047,0.000108034,0.01444748],"genre_scores_gemma":[0.967474,0.0008334388,0.02557809,0.001895954,0.001544572,0.00003570906,0.00000947222,0.00008549723,0.00254329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7767795,"threshold_uncertainty_score":0.9999606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2551232433","doi":"10.1057/s41272-016-0071-z","title":"Revenue challenges for hotels in the sharing economy: facing the Airbnb menace","year":2016,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Revenue management; Yield management; Sharing economy; Accommodation; Revenue; Business; Demand management; Revenue sharing; Business model; Marketing; Industrial organization; Economics; Finance","authors":[{"name":"Gabor Forgacs","is_ca":true},{"name":"Frédéric Dimanche","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03809829878331106,"gpt":0.2295674674454566,"spread":0.1914691686621455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002080357,0.0001033451,0.0001670856,0.0001450372,0.0001567211,0.0001597178,0.0003648606,0.00002876798,0.000005891054],"category_scores_gemma":[0.00006690244,0.00005116962,0.00007257411,0.00009189991,0.00002097609,0.0006498556,0.0001093903,0.0001103466,0.000008041766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002797301,"about_ca_system_score_gemma":0.00000562272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002925975,"about_ca_topic_score_gemma":0.00006973013,"domain_scores_codex":[0.999289,0.000009775375,0.0002990335,0.000132814,0.00008347556,0.0001859548],"domain_scores_gemma":[0.9992148,0.0001851154,0.0003771081,0.0001798492,0.00003574785,0.000007352122],"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":[0.0001780286,0.0000838569,0.01913181,0.001487039,0.0003156446,0.00008822929,0.003235843,0.000222697,0.00006774366,0.08963531,0.02120377,0.86435],"study_design_scores_gemma":[0.001015309,0.00003568403,0.02629516,0.0008753067,0.0001127256,0.00002472162,0.0011323,0.0001504065,0.00002054631,0.1095014,0.8606666,0.0001699191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872797,0.007812049,0.004010999,0.07796208,0.001237655,0.001511854,0.00001285078,0.00002264905,0.02015011],"genre_scores_gemma":[0.9948788,0.001655551,0.0001207828,0.001949621,0.0009099431,0.00002052193,5.094497e-7,0.00001228327,0.000452005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8641801,"threshold_uncertainty_score":0.2086637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995871788","doi":"10.1057/rpm.2010.30","title":"Allocation of hospital capacity to multiple types of patients","year":2010,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":60,"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; Heuristic; Computer science; Simple (philosophy); Yield management; Operations research; Dynamic programming; Resource allocation; Service (business); Capacity management; Mathematical optimization; Capacity planning; Monotonic function; Operations management; Business; Economics; Marketing; Artificial intelligence; Engineering; Revenue; Mathematics; Computer network; Algorithm","authors":[{"name":"Nur Ayvaz‐Çavdaroğlu","is_ca":false},{"name":"Woonghee Tim Huh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009120712315043437,"gpt":0.1971561800783662,"spread":0.1880354677633228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004445031,0.00008278454,0.0001807789,0.0002736994,0.00003696312,0.00002604825,0.0001612343,0.00002490061,0.00001889703],"category_scores_gemma":[0.00008140838,0.0000734709,0.0000577106,0.0002004407,0.00002769584,0.0002767708,0.000120601,0.00008917105,0.000005497865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001046057,"about_ca_system_score_gemma":0.00000319854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008456457,"about_ca_topic_score_gemma":0.00001946476,"domain_scores_codex":[0.9992087,0.000007507587,0.0003506904,0.00008918646,0.0002433616,0.0001005601],"domain_scores_gemma":[0.9991109,0.00001954707,0.0005200953,0.0001261226,0.0002081333,0.00001513616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002646874,0.001395163,0.6970866,0.003119869,0.0005757678,0.00001679709,0.001932308,0.0006873243,0.004483545,0.02633483,0.03548335,0.2286198],"study_design_scores_gemma":[0.001630068,0.000287654,0.6657339,0.0003794798,0.0002880541,6.299871e-7,0.0003622789,0.0005346992,0.001070843,0.002714171,0.3267334,0.0002647892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963748,0.00003271884,0.000682642,0.0003415083,0.0007232428,0.0002178236,0.00000239965,0.000003477946,0.001621325],"genre_scores_gemma":[0.997852,0.00002910436,0.001562657,0.0002180892,0.0002342952,0.000002327752,0.000002016913,0.000008597604,0.00009091082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2912501,"threshold_uncertainty_score":0.2996056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995693483","doi":"10.1057/palgrave.rpm.5170118","title":"Learning and pricing in an internet environment with binomial demands","year":2005,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":53,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Revenue management; Term (time); Revenue; Economics; Dynamic pricing; Computer science; Yield management; Microeconomics; Function (biology); The Internet; Time horizon; Econometrics; Operations research; Finance; Mathematics","authors":[{"name":"Alexandre Xavier Ywata de Carvalho","is_ca":false},{"name":"Martin L. Puterman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0090571991764143,"gpt":0.2158499429941739,"spread":0.2067927438177596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007948395,0.0001442736,0.0002281377,0.0003929108,0.00008445985,0.0001779434,0.000102296,0.00003243565,0.00002586643],"category_scores_gemma":[0.00001058082,0.0001210175,0.00002823867,0.0001461626,0.00003118706,0.000728668,0.0001422367,0.0002519181,0.000003908192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003809062,"about_ca_system_score_gemma":0.000004972217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007833642,"about_ca_topic_score_gemma":0.0001035623,"domain_scores_codex":[0.9990779,0.00002709582,0.0003348202,0.000174696,0.0001911907,0.0001943546],"domain_scores_gemma":[0.9995117,0.00003185564,0.0003292054,0.00008028653,0.00002283284,0.00002416519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001457575,0.00006057482,0.5079335,0.0001525541,0.00003920176,0.0001182379,0.0005357477,0.0004421046,0.0001508442,0.000122399,0.0001220631,0.490177],"study_design_scores_gemma":[0.003321287,0.0003055231,0.7498343,0.001016421,0.0004943741,0.000120193,0.001296772,0.003805429,0.00006416283,0.0002077674,0.2390119,0.0005218487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973711,0.0005726402,0.0005035051,0.0003276631,0.00006339989,0.0001285234,1.904815e-7,0.000007919286,0.001025096],"genre_scores_gemma":[0.997634,0.0003953192,0.001108713,0.0001999145,0.0003289747,0.000002850107,0.000001210457,0.00001738451,0.000311629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4896551,"threshold_uncertainty_score":0.493495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2012263990","doi":"10.1057/rpm.2009.25","title":"Price fencing in the practice of revenue management: An overview and taxonomy","year":2010,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; Saint Mary's University","funders":"","keywords":"Fencing; Revenue; Market segmentation; Revenue management; Taxonomy (biology); Marketing; Business; Segmentation; Computer science; Industrial organization; Economics; Operations research; Finance; Engineering; Artificial intelligence","authors":[{"name":"Michael Zhang","is_ca":true},{"name":"Peter Bell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03300758679674624,"gpt":0.2658487880579396,"spread":0.2328412012611934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003201017,0.0001680129,0.0002715417,0.0004399411,0.000126138,0.0001944235,0.0003962435,0.0000420891,0.00001861367],"category_scores_gemma":[0.00008474444,0.0001323195,0.00006166398,0.0004679109,0.0000592101,0.001245352,0.0002508577,0.0003247179,0.000004370471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000194684,"about_ca_system_score_gemma":0.000006368404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482318,"about_ca_topic_score_gemma":0.00007045297,"domain_scores_codex":[0.9985805,0.00006859748,0.0005425221,0.0002042645,0.0003814078,0.0002227422],"domain_scores_gemma":[0.9986821,0.00009304551,0.0008055505,0.0003094361,0.00008836685,0.00002151882],"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":[0.0003814533,0.001162243,0.03122636,0.009115201,0.0007666917,0.001322401,0.003693729,0.0002230989,0.0005442764,0.2818573,0.04204203,0.6276652],"study_design_scores_gemma":[0.0009051736,0.00005974967,0.03012832,0.0005040103,0.0003173114,0.00004797102,0.003516363,0.0001954928,0.000007718801,0.003606795,0.9605309,0.000180173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127542,0.007379419,0.001042715,0.006857737,0.001808226,0.002437207,0.000007677211,0.0000251588,0.06768763],"genre_scores_gemma":[0.9879988,0.00356719,0.003970751,0.003388148,0.0006631083,0.00002779809,0.000002662124,0.00002361481,0.0003578597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9184889,"threshold_uncertainty_score":0.5395831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005620500","doi":"10.1057/rpm.2009.31","title":"Revenue management performance drivers: An exploratory analysis within the hotel industry","year":2009,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University","keywords":"Revenue management; Measure (data warehouse); Revenue; Marketing; Yield management; Exploratory research; Knowledge management; Computer science; Business; Data mining; Sociology","authors":[{"name":"Carrie Queenan","is_ca":false},{"name":"Mark Ferguson","is_ca":false},{"name":"Jeff K. Stratman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02179147210643275,"gpt":0.2477735453351003,"spread":0.2259820732286676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00187778,0.0001779365,0.0002936328,0.0005163553,0.0003067836,0.0002531935,0.0004370781,0.00007799393,0.00001708651],"category_scores_gemma":[0.000009939767,0.0001355265,0.0001252712,0.001105847,0.00003928899,0.001143321,0.0001322754,0.0004473373,0.00001639155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003756826,"about_ca_system_score_gemma":0.000008320316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000374065,"about_ca_topic_score_gemma":0.0000643497,"domain_scores_codex":[0.9986089,0.00005393152,0.0004859298,0.0002028736,0.0004277665,0.0002205394],"domain_scores_gemma":[0.998768,0.00001801839,0.000727337,0.0003550196,0.0000995591,0.00003208692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008200792,0.001396618,0.2476456,0.003744429,0.006930186,0.001439755,0.01527044,0.02900604,0.0001488949,0.03214555,0.05084861,0.6106039],"study_design_scores_gemma":[0.00157163,0.0001984512,0.8165704,0.0007371636,0.005090533,0.00001763905,0.009953753,0.002530088,0.00002579094,0.005361608,0.1573143,0.0006286254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951403,0.0002782714,0.0003674316,0.001561055,0.0002881945,0.0001907082,0.000002469409,0.00001567022,0.00215589],"genre_scores_gemma":[0.9937484,0.000409942,0.000450822,0.00421539,0.0006267591,0.000003393191,0.000004052598,0.00001130029,0.0005299617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6099752,"threshold_uncertainty_score":0.5526611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3022215423","doi":"10.1057/s41272-020-00247-1","title":"A bibliometric analysis of revenue management in airline industry","year":2020,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Revenue; Bibliometrics; Revenue management; Citation analysis; Field (mathematics); Bibliographic coupling; Computer science; Co-citation; Data science; Citation; Marketing; Business; Knowledge management; Data mining; Accounting; World Wide Web","authors":[{"name":"Syed Asif Raza","is_ca":false},{"name":"Rafi Ashrafi","is_ca":false},{"name":"Ali Akgündüz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04731603233771881,"gpt":0.2637524170924784,"spread":0.2164363847547596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0008360879,0.00009168901,0.0005313146,0.02359997,0.00002859159,0.00002800052,0.0001678596,0.00007898753,0.00007671589],"category_scores_gemma":[0.00004339964,0.00009763464,0.0001698416,0.04732852,0.00001628731,0.0001308653,0.00007776702,0.0002705159,0.00000571508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003806079,"about_ca_system_score_gemma":0.00000404255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003587525,"about_ca_topic_score_gemma":0.000006208254,"domain_scores_codex":[0.9986729,0.00002539933,0.0009134074,0.0001694639,0.00009343872,0.0001253756],"domain_scores_gemma":[0.9987053,0.00002792916,0.001024246,0.0001358283,0.00003238241,0.00007427159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000046809,0.0001751825,0.8955033,0.0002598186,0.004466279,0.0001793992,0.0007225833,0.008967654,0.000004421597,0.009510332,0.004593601,0.07557057],"study_design_scores_gemma":[0.0008281652,0.0001055044,0.9457312,0.00009299474,0.0008129064,0.00000236904,0.0002479546,0.001893503,0.000009396433,0.001419788,0.0487143,0.0001419477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830192,0.004920526,0.004463348,0.002753958,0.0001197741,0.0001232133,0.0001065792,0.000003355426,0.004490091],"genre_scores_gemma":[0.9958221,0.002415999,0.0008291275,0.000253626,0.00006359276,0.000002047946,0.000003880565,0.000006789888,0.0006027837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07542863,"threshold_uncertainty_score":0.9874667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077889298","doi":"10.1057/palgrave.rpm.5170113","title":"A new approach to O&D revenue management based on scenario trees","year":2004,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University","keywords":"Revenue management; Yield management; Demand management; Business process management; Economics; Revenue; Computer science; Microeconomics; Operations research; Business; Operations management; Finance; Mathematics; Keynesian economics; Business process","authors":[{"name":"Andris Möller","is_ca":false},{"name":"Werner Römisch","is_ca":false},{"name":"Klaus H. Weber","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02477029983830085,"gpt":0.2324238935200163,"spread":0.2076535936817155,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009754671,0.0002860127,0.0003597267,0.0009770551,0.0001886237,0.000297868,0.0004592381,0.00005004391,0.00004406588],"category_scores_gemma":[0.00003114382,0.0002586327,0.000164049,0.0006840944,0.00002468702,0.0003848441,0.0002507832,0.0002125288,0.0001985025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598076,"about_ca_system_score_gemma":0.00001945575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604159,"about_ca_topic_score_gemma":0.00004468331,"domain_scores_codex":[0.9980749,0.0000230632,0.0005265825,0.0003614635,0.0006391796,0.0003748269],"domain_scores_gemma":[0.9989849,0.00001972704,0.0004324967,0.0004161634,0.0000671029,0.00007957091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006756518,0.001077831,0.002643621,0.002267019,0.000685414,0.0005123549,0.000828462,0.07454376,0.00005963901,0.07977986,0.564664,0.2722624],"study_design_scores_gemma":[0.002575308,0.00009496984,0.009113573,0.001022218,0.0003234776,0.000009832687,0.0003176242,0.0002489051,0.00000900094,0.006108382,0.9798142,0.0003624671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1242782,0.001346629,0.3530421,0.0289613,0.005306132,0.005265222,0.00002400659,0.0002247427,0.4815517],"genre_scores_gemma":[0.8747414,0.0004142159,0.07288208,0.02381295,0.003532709,0.00005627426,0.0000225658,0.0001358657,0.02440196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7504632,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2521600004","doi":"10.1057/s41272-016-0057-x","title":"The emerging trend of hotel total revenue management","year":2016,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Revenue management; Yield management; Revenue; Revenue assurance; Business; Revenue model; Revenue center; Business process management; Total revenue; E-commerce; Marketing; Finance; Computer science; Business process","authors":[{"name":"Chuyi Zheng","is_ca":true},{"name":"Gabor Forgacs","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01017063762535494,"gpt":0.2257978939433545,"spread":0.2156272563179996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216291,0.0001503952,0.0002436599,0.0002965823,0.0002089271,0.0001011124,0.0002676004,0.00002905871,0.0000217625],"category_scores_gemma":[0.00003589865,0.00009114887,0.0001297504,0.000307342,0.00006364263,0.0003882841,0.0002593764,0.0001079361,0.000007103457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002422404,"about_ca_system_score_gemma":0.000005215454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003226955,"about_ca_topic_score_gemma":0.00003852159,"domain_scores_codex":[0.9986953,0.00002898932,0.0005392527,0.0001482644,0.0003433322,0.0002449132],"domain_scores_gemma":[0.9988493,0.0001125657,0.000709613,0.0002377193,0.00007184868,0.00001891812],"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":[0.0001178924,0.00004227444,0.01610611,0.0003662851,0.0002271219,0.0001122436,0.0001079908,0.000007220355,0.0005823761,0.002367233,0.01102656,0.9689367],"study_design_scores_gemma":[0.002060908,0.00005253514,0.3023516,0.001928951,0.000961029,0.00005321173,0.0007160148,0.000027398,0.0001234121,0.005347366,0.6860144,0.0003631698],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812913,0.003022415,0.001369442,0.003209607,0.001397519,0.0003661813,0.00000855613,0.0000166721,0.009318294],"genre_scores_gemma":[0.9930634,0.002382217,0.0002799682,0.0001308249,0.0004029437,0.000004918759,5.623079e-7,0.0000202689,0.00371486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9685735,"threshold_uncertainty_score":0.3716943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075836352","doi":"10.1057/rpm.2008.13","title":"Optimal design of a name-your-own price channel","year":2008,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":26,"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":"Revenue management; Renting; Profit (economics); Yield management; Business; Microeconomics; Product (mathematics); Function (biology); Channel (broadcasting); The Internet; E-commerce; Advertising; Operations research; Marketing; Economics; Computer science; Revenue; Telecommunications; Mathematics; Finance","authors":[{"name":"John G. Wilson","is_ca":true},{"name":"Guoren Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1275006069546073,"gpt":0.3532814918424934,"spread":0.2257808848878861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002013944,0.00005788117,0.0001785709,0.0001806752,0.0001370598,0.00001980119,0.0002435334,0.00002111817,0.0000266124],"category_scores_gemma":[0.0001464814,0.00004276835,0.00006133642,0.0003087017,0.00005887324,0.0001450235,0.00005951776,0.00008765676,0.00001420587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001638636,"about_ca_system_score_gemma":0.00002640245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001761667,"about_ca_topic_score_gemma":6.66975e-8,"domain_scores_codex":[0.9988472,0.00009997471,0.0004489563,0.000101736,0.0004152305,0.00008689997],"domain_scores_gemma":[0.9988377,0.0002038984,0.0006097453,0.0001619553,0.0001359727,0.00005074476],"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":[0.001020307,0.0010544,0.004359434,0.0002161665,0.0008906357,0.000659868,0.04090828,0.1948138,0.003416772,0.02584675,0.1731484,0.5536652],"study_design_scores_gemma":[0.002973808,0.001415361,0.04659471,0.0005297952,0.0003379426,0.002110976,0.005660128,0.004604819,0.003788993,0.1482642,0.7831032,0.0006160762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3532338,0.0008991866,0.6435094,0.0008171393,0.0001757176,0.0001717596,0.000003858782,0.000003855645,0.001185261],"genre_scores_gemma":[0.9800688,0.0008211468,0.01500571,0.00008774411,0.00009577874,0.000002717772,1.1326e-7,0.000004560795,0.0039134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6285037,"threshold_uncertainty_score":0.1744043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990877195","doi":"10.1057/rpm.2014.8","title":"A taxonomy of demand uncensoring methods in revenue management","year":2014,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Revenue management; Demand management; Yield management; Taxonomy (biology); Business process management; Revenue; Computer science; Data science; Work (physics); Management science; Operations research; Marketing; Business; Economics; Engineering; Business process; Finance","authors":[{"name":"Shadi Sharif Azadeh","is_ca":true},{"name":"Patrice Marcotte","is_ca":true},{"name":"Gilles Savard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02773256907494647,"gpt":0.2707384172437284,"spread":0.2430058481687819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003100132,0.0001910265,0.0004364476,0.0008241967,0.00007238033,0.00008265416,0.0003154449,0.00004242152,0.00002239752],"category_scores_gemma":[0.0000560749,0.0001789739,0.0001172406,0.000507472,0.00004683753,0.0004448407,0.0003059546,0.0001735779,0.00000813791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005448406,"about_ca_system_score_gemma":0.00000435323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006394296,"about_ca_topic_score_gemma":0.00001657381,"domain_scores_codex":[0.9983665,0.0000847192,0.0007486629,0.0002209895,0.0003057341,0.0002733387],"domain_scores_gemma":[0.9987711,0.00006757426,0.0008062275,0.0002589868,0.00007247484,0.00002363526],"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":[0.0001897003,0.0003089279,0.03616842,0.00522912,0.0005150291,0.0002154515,0.0003655704,0.002090796,0.0003276838,0.05141542,0.0201323,0.8830416],"study_design_scores_gemma":[0.001941783,0.00006976247,0.03298661,0.001422993,0.0003242187,0.000009734177,0.0006895239,0.001303397,0.0001236793,0.01026052,0.9505721,0.0002956328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6279711,0.005685651,0.1741897,0.003477708,0.004865685,0.003752482,0.00000954476,0.00007544839,0.1799727],"genre_scores_gemma":[0.9537041,0.00106382,0.0416779,0.001047532,0.0007737111,0.0000361545,0.000002264182,0.00003872296,0.001655807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9304398,"threshold_uncertainty_score":0.7298346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008445088","doi":"10.1057/palgrave.rpm.5170035","title":"Simulating revenue management in an airline market with demand segmentation and strategic interaction","year":2003,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University","keywords":"Yield management; Revenue management; Demand management; Revenue; Dynamic pricing; Demand forecasting; Yield (engineering); Market segmentation; Business; Typology; Industrial organization; Business process management; Economics; Marketing; Microeconomics; Operations research; Finance; Engineering","authors":[{"name":"Alessandro V. M. Oliveira","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03594633653678816,"gpt":0.2652859566383042,"spread":0.229339620101516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446615,0.00007188327,0.0001725809,0.0002539056,0.00005576852,0.00005996148,0.00003495143,0.00002434049,0.00002723958],"category_scores_gemma":[0.00000551667,0.00006991593,0.00002048854,0.0001737468,0.00000947055,0.0002530551,0.00001189732,0.0001058055,0.000001030869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004056891,"about_ca_system_score_gemma":0.000002192074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001144236,"about_ca_topic_score_gemma":0.00002550759,"domain_scores_codex":[0.9993147,0.00003926184,0.0003928355,0.0001273668,0.00004065931,0.00008517737],"domain_scores_gemma":[0.9993859,0.00001760354,0.0004752032,0.00007157135,0.00001518275,0.00003454344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002333751,0.0003784074,0.8240519,0.0005508162,0.0008949315,0.000353722,0.002296218,0.02679384,0.0000240971,0.06623138,0.0005849171,0.07760637],"study_design_scores_gemma":[0.01035977,0.001540537,0.8000977,0.001595367,0.0006366658,0.0002298412,0.01260483,0.02803077,0.00008807968,0.1074566,0.03626995,0.001089872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893939,0.0007088078,0.003149786,0.0001370299,0.00007265747,0.00009932864,0.000005895005,0.000001702751,0.00643091],"genre_scores_gemma":[0.9959107,0.0007059893,0.002646428,0.00004712184,0.00002957519,0.000002563059,0.000002054181,0.000006135699,0.0006494265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0765165,"threshold_uncertainty_score":0.2851089,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999617310","doi":"10.1057/rpm.2010.46","title":"Name-your-own price auction mechanisms – Modeling and future implications","year":2010,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":19,"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":"Common value auction; Reverse auction; Revenue management; The Internet; Microeconomics; Auction theory; Forward auction; Generalized second-price auction; Economics; Eauction; Vickrey auction; Computer science; Business; Advertising; Revenue; World Wide Web; Finance","authors":[{"name":"Chris Anderson","is_ca":false},{"name":"John G. Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04134899142405007,"gpt":0.3441468302343941,"spread":0.302797838810344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001734723,0.00006705676,0.0001249856,0.0001720811,0.0002843379,0.0001159606,0.000183464,0.0000413333,0.0000286557],"category_scores_gemma":[0.00006539251,0.00005094308,0.00004318356,0.0002489424,0.00002651871,0.0002416247,0.0000659772,0.0002103959,0.000008480059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009285769,"about_ca_system_score_gemma":0.00001014853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002046392,"about_ca_topic_score_gemma":0.000002259369,"domain_scores_codex":[0.9990956,0.00004474985,0.0003596756,0.0001495242,0.0002618263,0.00008859542],"domain_scores_gemma":[0.9991338,0.0000777879,0.0003569221,0.00021168,0.0001454715,0.00007436676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002594832,0.00005644433,0.0003280364,0.00002000763,0.00006067066,0.000004865959,0.001148427,0.0009984365,0.004518069,0.2581671,0.002940742,0.7317312],"study_design_scores_gemma":[0.0002874239,0.00005518277,0.006708601,0.00002449326,0.00007672307,0.0002531766,0.001729654,0.002385214,0.0001300323,0.6933181,0.2949123,0.0001191358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3955818,0.0003944262,0.5909536,0.01084532,0.0007228911,0.000190264,0.000007030487,0.00001040442,0.001294201],"genre_scores_gemma":[0.9845327,0.0007496435,0.01324855,0.0001737036,0.000447269,0.000005572612,4.847709e-7,0.000006064577,0.000835987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7316121,"threshold_uncertainty_score":0.2186926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2908856461","doi":"10.1057/s41272-018-00182-2","title":"What is a fair fare? Exploring the differences between perceived price fairness and perceived price unfairness","year":2019,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Distributive justice; Equity theory; Business; Revenue management; Equity (law); Willingness to pay; Microeconomics; Economics; Price discrimination; Marketing; Economic Justice; Revenue","authors":[{"name":"Kanupriya Katyal","is_ca":false},{"name":"Vinay Kanetkar","is_ca":true},{"name":"Sanjay Patro","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04246145641991025,"gpt":0.2522772624743038,"spread":0.2098158060543935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006142421,0.000172617,0.0002775584,0.0002436492,0.0002668243,0.0008822616,0.0002808201,0.00003694742,0.0000605285],"category_scores_gemma":[0.00001654504,0.0001255397,0.00007831391,0.0002611776,0.00005324949,0.00187093,0.0001914555,0.0002050221,0.00003805233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002685378,"about_ca_system_score_gemma":0.000008418797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006049208,"about_ca_topic_score_gemma":0.000008166457,"domain_scores_codex":[0.9987916,0.00003715579,0.0003992606,0.0002366905,0.0003399014,0.0001953616],"domain_scores_gemma":[0.9990596,0.00008286311,0.000461648,0.0002201512,0.0001506601,0.00002511334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006265559,0.00006182036,0.3324839,0.000910483,0.0002175612,0.00001650004,0.003782193,0.000004982002,0.0007558973,0.0005215239,0.0007836126,0.6603988],"study_design_scores_gemma":[0.0005306046,0.000008691331,0.9656732,0.0005743744,0.0002643794,0.000008290044,0.004926088,0.00005019766,0.000007527924,0.0004562464,0.02733559,0.0001647985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957175,0.0008393138,0.0001060834,0.001979694,0.0008140609,0.0003357442,0.000001577787,0.00001456289,0.0001915065],"genre_scores_gemma":[0.9942147,0.004015981,0.00004101829,0.0003305359,0.0002849771,0.00001501111,0.000002342527,0.00001503058,0.001080438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.660234,"threshold_uncertainty_score":0.8507669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3181216795","doi":"10.1057/s41272-021-00349-4","title":"Dynamic offer generation in airline revenue management","year":2021,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","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":"Air Canada","funders":"","keywords":"Revenue management; Revenue; Yield management; Dynamic pricing; Computer science; Operations research; Set (abstract data type); Customer base; Business; Marketing; Finance; Engineering","authors":[{"name":"Kevin Wang","is_ca":false},{"name":"Michael D. Wittman","is_ca":false},{"name":"Adam Bockelie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01550689718148455,"gpt":0.2286866334130123,"spread":0.2131797362315277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009165095,0.0001786518,0.000290082,0.0005414452,0.00009910566,0.0001786339,0.0001919898,0.00004390394,0.00006759146],"category_scores_gemma":[0.00002652411,0.0001762346,0.00009936324,0.0005524886,0.00002409091,0.0005329254,0.0002743672,0.0001804187,0.000029879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000980499,"about_ca_system_score_gemma":0.000009283345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002935435,"about_ca_topic_score_gemma":0.0001373648,"domain_scores_codex":[0.9985185,0.00003772326,0.0005757999,0.0002516807,0.0003614476,0.0002548066],"domain_scores_gemma":[0.9992254,0.00001441137,0.0003940311,0.0002410957,0.0001042118,0.00002088621],"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":[0.0002254878,0.001098393,0.01969549,0.005175629,0.00108738,0.008543478,0.0007393893,0.006514695,0.001665306,0.05225023,0.2670294,0.6359752],"study_design_scores_gemma":[0.002453974,0.00004126558,0.04004893,0.000802643,0.0003596283,0.00004878775,0.0009206705,0.006539089,0.0000717674,0.005962467,0.942348,0.0004027611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468517,0.006225192,0.005903865,0.009078788,0.003245513,0.0009841252,0.00001047894,0.00003793721,0.02766246],"genre_scores_gemma":[0.9813697,0.003008002,0.003314936,0.003431511,0.0008689234,0.00001590082,0.00002903752,0.00003758093,0.007924422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6753187,"threshold_uncertainty_score":0.7186639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060868702","doi":"10.1057/palgrave.rpm.5170129","title":"Additional Academic Paper: Pricing of shared computer services","year":2005,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","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":"Leaky bucket; Token bucket; Revenue management; Computer science; Security token; Metric (unit); Service (business); Mathematical optimization; Performance metric; Operations research; Computer network; Economics; Mathematics; Revenue; Quality of service; Operations management; Business; Marketing","authors":[{"name":"Opher Baron","is_ca":true},{"name":"Dirk Beyer","is_ca":false},{"name":"Gabriel R. Bitran","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008092595495084903,"gpt":0.2247209969156755,"spread":0.2166284014205906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005064342,0.0001150908,0.0002511234,0.0003233829,0.00009212187,0.00004813816,0.0002182322,0.00003762787,0.000666527],"category_scores_gemma":[0.00002276575,0.0001025826,0.00009487039,0.0002844146,0.00002672922,0.001087557,0.0001608948,0.0001860608,0.00002592237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002669018,"about_ca_system_score_gemma":0.000004896986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006776577,"about_ca_topic_score_gemma":0.000006684424,"domain_scores_codex":[0.9989858,0.00001644839,0.0004680819,0.0001243787,0.0002621799,0.0001430715],"domain_scores_gemma":[0.998786,0.00009569385,0.000875406,0.0001132247,0.000115572,0.00001405964],"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":[0.0003158386,0.0002439959,0.00525674,0.003326504,0.001272434,0.000149952,0.0009252784,0.03733579,0.001042509,0.01939999,0.2093527,0.7213782],"study_design_scores_gemma":[0.0006912131,0.00002990228,0.01101422,0.001697944,0.000406635,0.00002286076,0.0002123564,0.006425766,0.00002250313,0.008737868,0.9705207,0.0002179891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404463,0.005870104,0.02710245,0.009952577,0.001325908,0.001001383,0.0005456253,0.0001365147,0.01361915],"genre_scores_gemma":[0.9652896,0.000614169,0.0239945,0.004778589,0.004396302,0.000006897989,0.0001189942,0.00003864469,0.0007623023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.761168,"threshold_uncertainty_score":0.7298003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2796960988","doi":"10.1057/s41272-018-00164-4","title":"Dynamic pricing and learning with competition: insights from the dynamic pricing challenge at the 2017 INFORMS RM & pricing conference","year":2018,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council","keywords":"Revenue management; Dynamic pricing; Yield management; Variable pricing; Investment theory; Demand management; Revenue; Pricing strategies","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01693013334030489,"gpt":0.236466464789257,"spread":0.2195363314489522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00115028,0.0003181834,0.0003984592,0.0002485449,0.001476242,0.0005563078,0.0003940598,0.00006755588,0.00004436028],"category_scores_gemma":[0.00007875816,0.0001866341,0.00007827018,0.0004093204,0.0002405162,0.0008165343,0.0005878637,0.0006368515,0.00002273145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009296781,"about_ca_system_score_gemma":0.00002565548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004374336,"about_ca_topic_score_gemma":0.00239227,"domain_scores_codex":[0.9981728,0.00008428282,0.0005683029,0.0003194239,0.0004987916,0.0003564292],"domain_scores_gemma":[0.9979987,0.0003333055,0.00103008,0.0003551944,0.000245618,0.00003708911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001234454,0.0002479989,0.1546856,0.001942153,0.001629914,0.000457912,0.0291805,0.0008819837,0.002834423,0.005206413,0.002623336,0.7990752],"study_design_scores_gemma":[0.003280358,0.0003259275,0.6420716,0.005352377,0.001898253,0.0002749061,0.008233447,0.009201446,0.00002509391,0.002908698,0.3253104,0.001117476],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859053,0.002665466,0.00378029,0.0022027,0.0003854207,0.0004408357,0.00000225012,0.00003104328,0.004586651],"genre_scores_gemma":[0.995692,0.00189043,0.0005451406,0.0006417307,0.0003733525,0.000007963265,0.00001064252,0.00003389169,0.0008048051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7979578,"threshold_uncertainty_score":0.9998237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1975598054","doi":"10.1057/rpm.2010.2","title":"Revenue optimization of risk-averse managers with atemporal utility","year":2010,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Revenue management; Risk aversion (psychology); Stochastic dominance; Yield management; Revenue; Economics; Microeconomics; Expected utility hypothesis; Volatility (finance); Risk-seeking; Variance (accounting); Limit (mathematics); Ambiguity aversion; Econometrics; Computer science; Financial economics; Mathematics; Finance","authors":[{"name":"Weifen Zhuang","is_ca":true},{"name":"Michael Z.F. Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00824988369684217,"gpt":0.1979451284010816,"spread":0.1896952447042395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132361,0.0001521296,0.0002644766,0.0003667264,0.0001161018,0.00008718971,0.0002198697,0.00004324288,0.00007700201],"category_scores_gemma":[0.00005730499,0.000126039,0.00008346157,0.0003447534,0.00007904472,0.0005889076,0.0001344048,0.0002487301,0.000006231818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508289,"about_ca_system_score_gemma":0.000008860393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001992219,"about_ca_topic_score_gemma":0.0001011756,"domain_scores_codex":[0.9988695,0.00002481161,0.0004269992,0.0001678125,0.0003351911,0.0001756396],"domain_scores_gemma":[0.9985438,0.00002878754,0.00102316,0.0002418685,0.0001392235,0.00002314473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001786365,0.001094979,0.5637983,0.006076707,0.001786678,0.0008742696,0.001716235,0.02686055,0.0003614417,0.02478489,0.1201381,0.2507215],"study_design_scores_gemma":[0.005314981,0.0002458034,0.1826063,0.001144244,0.001826911,0.0000427733,0.002274276,0.01524282,0.0001421452,0.006481813,0.7838395,0.0008384316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718672,0.0002127957,0.01252268,0.0007571457,0.001625882,0.0005527325,0.00001565883,0.00002512958,0.01242074],"genre_scores_gemma":[0.9916027,0.0004313537,0.006666382,0.000272494,0.0004502783,0.00000320466,0.000005637232,0.00002199125,0.0005459695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6637014,"threshold_uncertainty_score":0.5139722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974987058","doi":"10.1057/rpm.2014.32","title":"A newsvendor approach to inventory and pricing decisions in NYOP channels","year":2014,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":10,"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":"Revenue management; Newsvendor model; Yield management; Inventory management; Demand management; Economics; Operations research; Microeconomics; Business; Operations management; Marketing; Supply chain; Revenue; Mathematics; Finance","authors":[{"name":"Chris Anderson","is_ca":false},{"name":"Fredrik Ødegaard","is_ca":true},{"name":"John G. Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02407678623712762,"gpt":0.2308056338350129,"spread":0.2067288475978853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001650053,0.0001803133,0.0003291901,0.0009311527,0.0001226304,0.0002160532,0.0002383311,0.00003959029,0.000006473771],"category_scores_gemma":[0.000144079,0.0001614332,0.00006458735,0.00050142,0.00002824295,0.0004791142,0.0003665104,0.000175268,0.0000133432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005037751,"about_ca_system_score_gemma":0.000005642492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008759864,"about_ca_topic_score_gemma":0.00001796507,"domain_scores_codex":[0.9986117,0.00003834829,0.0004917061,0.000250132,0.0003214164,0.0002866661],"domain_scores_gemma":[0.9993169,0.0000543998,0.0003327929,0.0001898476,0.00005630112,0.00004976986],"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":[0.0003367695,0.0008060909,0.05864815,0.002223516,0.0004076746,0.0002270003,0.003692731,0.006963016,0.0003366142,0.07960512,0.1051399,0.7416134],"study_design_scores_gemma":[0.002262264,0.0001230619,0.03148531,0.00120032,0.0001927196,0.00002537342,0.0015904,0.008945515,0.00001350029,0.00957525,0.9441407,0.0004455992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367483,0.001169734,0.01934394,0.002979561,0.001379993,0.001029651,0.000001153474,0.00003272571,0.03731489],"genre_scores_gemma":[0.9925696,0.0003785381,0.002180324,0.003200576,0.0008585586,0.00001613921,0.000001752758,0.00002617898,0.000768323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8390008,"threshold_uncertainty_score":0.6583056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016317914","doi":"10.1057/rpm.2014.26","title":"Forecasting sales of new virtual goods with the Elo rating system","year":2014,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":9,"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":"Revenue; Revenue management; Product (mathematics); Quality (philosophy); Proxy (statistics); Economics; Business; Microeconomics; Computer science; Finance","authors":[{"name":"Lin Yang","is_ca":true},{"name":"Stanko Dimitrov","is_ca":true},{"name":"Benny Mantin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01935586287031204,"gpt":0.2156611664685821,"spread":0.1963053035982701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388546,0.0001225237,0.000246888,0.0001691316,0.0001699789,0.0001276328,0.000189104,0.00002253107,0.000003817391],"category_scores_gemma":[0.00004606197,0.0000780843,0.00006205142,0.0002645403,0.00003133486,0.0003018423,0.0001221843,0.0001462424,0.000001679934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001433214,"about_ca_system_score_gemma":0.00001167797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001361644,"about_ca_topic_score_gemma":0.00004601556,"domain_scores_codex":[0.9990789,0.00003138175,0.000359526,0.000104064,0.0002706597,0.0001554459],"domain_scores_gemma":[0.9988545,0.0001285356,0.0007843491,0.0001376682,0.00007933707,0.0000155777],"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":[0.0001916092,0.00003558764,0.07817732,0.001490376,0.0002567789,0.00006726787,0.000858506,0.0006808802,0.0003386662,0.007200077,0.005593102,0.9051098],"study_design_scores_gemma":[0.008482489,0.0008433345,0.3654355,0.01397695,0.005578547,0.0006261956,0.01735392,0.02439073,0.0003384773,0.001586838,0.5598207,0.001566295],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842779,0.0004351712,0.009470746,0.0006744887,0.0002784865,0.0001856758,5.760893e-7,0.00001302203,0.004663934],"genre_scores_gemma":[0.9981242,0.00002553811,0.0008483523,0.0001514613,0.0005904263,0.000001341752,6.559162e-7,0.00001544666,0.0002425799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9035435,"threshold_uncertainty_score":0.3184186,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020088051","doi":"10.1057/rpm.2011.32","title":"A comparison of different demand models for joint inventory-pricing decisions","year":2011,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":9,"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":"Stylized fact; Revenue management; Dynamic pricing; Demand management; Pricing strategies; Profit (economics); Variable pricing; Demand forecasting; Economics; Microeconomics; Business; Marketing; Revenue","authors":[{"name":"John G. Wilson","is_ca":true},{"name":"Leo MacDonald","is_ca":false},{"name":"Chris Anderson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1189728878285238,"gpt":0.2858036571983291,"spread":0.1668307693698053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009018295,0.0001912966,0.0005090084,0.0005708398,0.0001414198,0.00006664671,0.0002712679,0.00004468005,0.00002623769],"category_scores_gemma":[0.00006415519,0.0001566553,0.0002000931,0.0002132219,0.00004459696,0.0005026747,0.0002571991,0.0001263147,0.00000315197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004129226,"about_ca_system_score_gemma":0.000006860654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004409652,"about_ca_topic_score_gemma":0.00001591025,"domain_scores_codex":[0.998373,0.000022028,0.0008292999,0.0001863406,0.0003434641,0.0002459235],"domain_scores_gemma":[0.9985087,0.0000519243,0.001027047,0.0002178241,0.0001619118,0.00003258602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001546017,0.003702763,0.1454099,0.008842863,0.003070748,0.0001747785,0.0121425,0.006064832,0.001554748,0.2911472,0.1591048,0.3672388],"study_design_scores_gemma":[0.01306579,0.001558207,0.08993488,0.008421513,0.004999531,0.00003465339,0.0150514,0.173672,0.002590833,0.4585276,0.2300287,0.002114939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.829005,0.002248664,0.1508857,0.0004902653,0.001563052,0.001276571,0.000005709865,0.00003045033,0.01449461],"genre_scores_gemma":[0.9958195,0.0003149009,0.002886915,0.0003485688,0.0003223117,0.00001453567,0.000002635514,0.00002441737,0.0002662018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3651239,"threshold_uncertainty_score":0.6388215,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024105304","doi":"10.1057/rpm.2013.1","title":"Pricing strategy in the presence of reference prices with thresholds","year":2013,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Reference price; Economics; Product (mathematics); Revenue management; Limit price; Microeconomics; Econometrics; Mid price; Price level; Pricing strategies; Pricing schedule; Computer science; Revenue; Monetary economics","authors":[{"name":"Mike von Massow","is_ca":true},{"name":"Elkafi Hassini","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0250525458894549,"gpt":0.2443466715261654,"spread":0.2192941256367105,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009686998,0.0001166937,0.0002084568,0.0002653025,0.00007290026,0.0001723434,0.0003096818,0.00002671827,0.0000283768],"category_scores_gemma":[0.00002981552,0.00007169005,0.000032693,0.0004443042,0.00004378435,0.000762103,0.00009513593,0.0002065053,0.000003424912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009543643,"about_ca_system_score_gemma":0.00001107969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006499441,"about_ca_topic_score_gemma":0.0001061547,"domain_scores_codex":[0.9989858,0.00002615827,0.0003742346,0.0001176747,0.0003222182,0.000173877],"domain_scores_gemma":[0.9990678,0.0001294606,0.0005296603,0.0001685032,0.00009487795,0.000009689978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001413263,0.0002009114,0.5714897,0.001477548,0.0001258267,0.0001907951,0.001281054,0.0004760648,0.0006588154,0.004996356,0.003004094,0.4159575],"study_design_scores_gemma":[0.0007175981,0.00009360936,0.9750967,0.0009085702,0.0002097097,0.0000432416,0.002443022,0.0002655342,0.00002624381,0.002222932,0.01778296,0.0001898814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986192,0.0005817365,0.0002193478,0.0003776368,0.0000568632,0.0002899347,3.549504e-7,0.000004057189,0.01227801],"genre_scores_gemma":[0.9988797,0.0004316804,0.0002838935,0.000194783,0.0000947091,0.000007654954,5.336249e-7,0.000008256312,0.00009882438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4157676,"threshold_uncertainty_score":0.2923436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123052397","doi":"10.1057/s41272-020-00275-x","title":"Deep reinforcement learning in seat inventory control problem: an action generation approach","year":2021,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","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":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reinforcement learning; Computer science; Heuristic; Mathematical optimization; Set (abstract data type); Action (physics); Space (punctuation); Artificial intelligence; Operations research; Mathematics","authors":[{"name":"Neda Etebari Alamdari","is_ca":true},{"name":"Gilles Savard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03147514551223286,"gpt":0.238186230864156,"spread":0.2067110853519231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118466,0.0001481508,0.0002381194,0.0004066705,0.0001411827,0.0002277246,0.0001235836,0.00004497553,0.00003470989],"category_scores_gemma":[0.00002839463,0.0001446093,0.00006934217,0.0003307737,0.0000181975,0.001040367,0.0001002637,0.0002278697,0.000006711678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072873,"about_ca_system_score_gemma":0.00001507522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005881193,"about_ca_topic_score_gemma":0.00007070852,"domain_scores_codex":[0.9986798,0.00007115882,0.0004783783,0.0002118037,0.0003407718,0.0002180654],"domain_scores_gemma":[0.9992526,0.00001007003,0.0004485863,0.0001421804,0.000121637,0.00002489043],"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":[0.0003089444,0.0008932742,0.06937401,0.003367844,0.0006496811,0.0007228597,0.001827276,0.6051587,0.002793828,0.02325578,0.014984,0.2766638],"study_design_scores_gemma":[0.006792546,0.000234629,0.0186195,0.0006058388,0.0006051913,0.00006160057,0.005652606,0.5710088,0.0001406239,0.002717901,0.3928305,0.0007302322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7624933,0.003877152,0.175033,0.003185213,0.002435167,0.001859636,6.650728e-7,0.00009790436,0.0510179],"genre_scores_gemma":[0.9949336,0.0005242099,0.000934626,0.001288998,0.001018742,0.00001688269,0.00002195662,0.00001993573,0.00124105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778465,"threshold_uncertainty_score":0.5896996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2897360389","doi":"10.1057/s41272-018-00170-6","title":"Distribution-free bounds for the expected marginal seat revenue heuristic with dependent demands","year":2018,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":4,"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":"Revenue management; Yield management; Heuristic; Revenue; Marginal revenue; Econometrics; Business process management; Computer science; Distribution (mathematics); Economics; Operations research; E-commerce; Mathematical optimization; Operations management; Mathematics; Finance","authors":[{"name":"Mihai Banciu","is_ca":false},{"name":"Fredrik Ødegaard","is_ca":true},{"name":"Alia Stanciu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01220054446158747,"gpt":0.2180825378675072,"spread":0.2058819934059197,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009590688,0.0001808278,0.0002297013,0.000158516,0.0004851645,0.0003035074,0.0004313881,0.00003286817,0.00003670432],"category_scores_gemma":[0.00009074729,0.0001209859,0.00008802801,0.0002999883,0.0001135784,0.0003628676,0.000229825,0.0001344468,0.00001034688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006620027,"about_ca_system_score_gemma":0.00001383472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005609962,"about_ca_topic_score_gemma":0.0000945639,"domain_scores_codex":[0.9987437,0.00001978181,0.0003603502,0.0001947004,0.0003962519,0.0002852093],"domain_scores_gemma":[0.9988388,0.00008342096,0.0004872021,0.0003281033,0.000237981,0.00002450877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001574761,0.0003068513,0.02186909,0.001970008,0.001466245,0.0002919501,0.0006125431,0.0002486275,0.00006755172,0.03502475,0.8535867,0.08298092],"study_design_scores_gemma":[0.002192658,0.000231338,0.02390084,0.0003815542,0.0006583916,0.0000386461,0.00065484,0.0007688359,0.00002168952,0.005389432,0.9655296,0.0002322055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6048312,0.007559503,0.3312298,0.03024034,0.007194092,0.0048829,0.0002549154,0.0001414764,0.01366579],"genre_scores_gemma":[0.9915866,0.0002776407,0.0006968404,0.001221699,0.002852974,0.00003913516,0.00001525113,0.0000297614,0.003280062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3867554,"threshold_uncertainty_score":0.4933663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283069969","doi":"10.1057/s41272-022-00392-9","title":"Revenue implications of celebrities on Broadway theatre","year":2022,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Revenue management; Yield management; Revenue; Revenue model; Salient; Entertainment; Advertising; Dynamic pricing; Revenue assurance; Business; Business process management; Demand management; Marketing; Economics; Art; Computer science; Finance","authors":[{"name":"Kyle D. S. Maclean","is_ca":true},{"name":"Fredrik Ødegaard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02258548626319969,"gpt":0.2210996681748182,"spread":0.1985141819116185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003843361,0.00004580211,0.000193968,0.0001592179,0.000106283,0.000006960628,0.000090884,0.000008139123,0.00002398592],"category_scores_gemma":[0.00001361351,0.00004825405,0.00005863206,0.0001072248,0.00001646266,0.00003057993,0.0000700009,0.00009541242,0.000002515173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000334132,"about_ca_system_score_gemma":0.000004216731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002410693,"about_ca_topic_score_gemma":0.000004378319,"domain_scores_codex":[0.9995008,0.00001265361,0.0003029773,0.00007175138,0.00003713741,0.00007466481],"domain_scores_gemma":[0.9994555,0.00003652253,0.0003757249,0.00009944033,0.00001285287,0.00001992116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001559527,0.0005375872,0.1570691,0.0008439471,0.0008873185,0.00007962673,0.01095255,0.0009678975,0.0001685925,0.2127465,0.3908659,0.224725],"study_design_scores_gemma":[0.0005113191,0.0003234975,0.1094828,0.00008457963,0.00003813301,0.0000262359,0.0008454933,0.000006555484,0.00003414886,0.03292837,0.8556279,0.00009097115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240381,0.02342701,0.0003718252,0.009647259,0.0008399783,0.0002874403,0.0004138098,0.000004787431,0.04096986],"genre_scores_gemma":[0.9923418,0.004470344,0.0002302566,0.0002192178,0.00008304334,0.000008254565,0.000001044345,0.000006032699,0.002640073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.464762,"threshold_uncertainty_score":0.1967743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4376140446","doi":"10.1057/s41272-023-00432-y","title":"Revenue management in sports, live entertainment and arts","year":2023,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"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":"Revenue management; Yield management; Entertainment; Demand management; Revenue; Business; Business process management; The arts; Advertising; Sport management; Economics; Marketing; Art; Management; Finance; Visual arts","authors":[{"name":"Mihai Banciu","is_ca":false},{"name":"Andreas Hinterhuber","is_ca":false},{"name":"Fredrik Ødegaard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.016439563427565,"gpt":0.2439999629702553,"spread":0.2275603995426903,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261475,0.0001608501,0.0002608889,0.000746159,0.0001016276,0.0001325085,0.0001409115,0.00003398223,0.00002147372],"category_scores_gemma":[0.00001584609,0.0001531784,0.00005950316,0.0004837033,0.00002713872,0.0003637237,0.0003124491,0.0001679234,0.0000181216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000308655,"about_ca_system_score_gemma":0.000004065675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008090587,"about_ca_topic_score_gemma":0.00004369234,"domain_scores_codex":[0.9987392,0.000018407,0.0004474458,0.0002050065,0.0003246773,0.0002652021],"domain_scores_gemma":[0.9994105,0.00003793493,0.0003402453,0.0001518466,0.00003530163,0.00002422973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001239585,0.0000963796,0.2959303,0.001337266,0.0001360463,0.002926166,0.0007674851,0.00005983812,0.00006234663,0.001613602,0.0144955,0.6824511],"study_design_scores_gemma":[0.001089746,0.0000233302,0.7740284,0.001025043,0.0002939448,0.00003544835,0.001187424,0.0001619003,0.000004039795,0.003095552,0.2188225,0.0002326255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941121,0.0007825866,0.00005635809,0.0009909907,0.0004357128,0.0003095262,0.000002254611,0.000017565,0.003292888],"genre_scores_gemma":[0.9924977,0.005140658,0.0002978407,0.0004777472,0.0002371117,0.00001046021,0.000003178881,0.00002108587,0.001314196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6822185,"threshold_uncertainty_score":0.6246433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392883114","doi":"10.1057/s41272-023-00459-1","title":"Reinforcement learning for freight booking control problems","year":2024,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Revenue management; Reinforcement learning; Yield management; Computer science; Control (management); Operations research; Demand management; Revenue; Inventory control; Integer programming; Mathematical optimization; Artificial intelligence; Economics; Engineering; Mathematics","authors":[{"name":"Justin Dumouchelle","is_ca":true},{"name":"Emma Frejinger","is_ca":true},{"name":"Andrea Lodi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01389126354940885,"gpt":0.2198500777481864,"spread":0.2059588141987775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266113,0.0001665618,0.0002458915,0.0004908584,0.0001828766,0.0004446055,0.0001718476,0.00003512023,0.00004272425],"category_scores_gemma":[0.00003683036,0.0001403585,0.0001514614,0.0002269972,0.00002365608,0.0006675769,0.0001021186,0.0001861739,0.00002009373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005878777,"about_ca_system_score_gemma":0.000009114677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001847085,"about_ca_topic_score_gemma":0.000002976334,"domain_scores_codex":[0.9987704,0.00001358283,0.0004750658,0.000189907,0.0002913166,0.0002597369],"domain_scores_gemma":[0.9994041,0.00006361955,0.000318197,0.0001071591,0.00008714291,0.00001983676],"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":[0.0003213235,0.0001582548,0.005571124,0.01703612,0.002459307,0.0005295624,0.001268789,0.05569089,0.0006659943,0.2150172,0.244387,0.4568945],"study_design_scores_gemma":[0.0009343798,0.00008261085,0.0003932521,0.001039795,0.0003689994,0.000009225503,0.0002178323,0.02393969,0.00001164551,0.005258423,0.9675707,0.0001734788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07208549,0.03687489,0.7327834,0.01801259,0.01351022,0.006679944,0.000008730602,0.0004759149,0.1195688],"genre_scores_gemma":[0.9911577,0.0005881893,0.0003704237,0.001324744,0.001718707,0.00003356284,0.000004811819,0.00003512933,0.004766712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9190722,"threshold_uncertainty_score":0.5723652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2557552087","doi":"10.1057/s41272-016-0055-z","title":"Airline switching revenue with price-guarantees","year":2016,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"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":"Revenue; Revenue management; Ticket; Business; Yield management; Service (business); Profit (economics); Price discrimination; Microeconomics; Industrial organization; Economics; Marketing; Finance; Computer science","authors":[{"name":"Fouad H. Mirzaei","is_ca":false},{"name":"Fredrik Ødegaard","is_ca":true},{"name":"Xinghao Yan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008720823071856326,"gpt":0.1933323613170976,"spread":0.1846115382452413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008829957,0.0001828047,0.0002741874,0.0003932111,0.0001399251,0.0001347871,0.0002517561,0.00003128422,0.00004723612],"category_scores_gemma":[0.00003996575,0.0001114651,0.00007898138,0.0002848158,0.00003627235,0.0008161871,0.000166793,0.0001194495,0.00003382591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004720943,"about_ca_system_score_gemma":0.00000898485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003233481,"about_ca_topic_score_gemma":0.00002076746,"domain_scores_codex":[0.9987419,0.00001879208,0.0004082391,0.00019461,0.0003726647,0.0002638223],"domain_scores_gemma":[0.9990137,0.00004268753,0.00060727,0.000207322,0.0001046962,0.00002436703],"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":[0.0007497044,0.0003800527,0.05529413,0.00233754,0.001085646,0.001358935,0.0006508753,0.0001628446,0.002424389,0.03595673,0.1377252,0.7618739],"study_design_scores_gemma":[0.002335812,0.0001346058,0.02086482,0.00210531,0.0003013782,0.00005503756,0.000393474,0.00008496424,0.00007310572,0.005400507,0.9679176,0.0003334099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271146,0.002061175,0.03455476,0.01500609,0.001579103,0.000845026,0.00000831427,0.00006931599,0.01876161],"genre_scores_gemma":[0.9922563,0.0006966347,0.001078803,0.001619388,0.001255597,0.000006436745,8.593121e-7,0.00003161314,0.003054331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8301923,"threshold_uncertainty_score":0.4545416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1965286164","doi":"10.1057/rpm.2009.13","title":"Competitive revenue management with forward and spot markets","year":2009,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"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":"Revenue management; Microeconomics; Nash equilibrium; Spot market; Revenue; Industrial organization; Market segmentation; Game theory; Business; Economics; Competitive advantage; Marketing; Finance","authors":[{"name":"Guillermo Gallego","is_ca":false},{"name":"Srinivas Krishnamoorthy","is_ca":true},{"name":"Robert L. Phillips","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006971584310353296,"gpt":0.1993674372354076,"spread":0.1923958529250543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008236688,0.0002309242,0.0003300639,0.0004724406,0.0001753716,0.0002303852,0.0002129776,0.00003523527,0.00002624731],"category_scores_gemma":[0.00001171034,0.0001906584,0.00006990825,0.0003198521,0.00005738678,0.0006017658,0.0001688635,0.0001683523,0.00001233782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004379391,"about_ca_system_score_gemma":0.000004521816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001359067,"about_ca_topic_score_gemma":0.00001098767,"domain_scores_codex":[0.998642,0.00002464173,0.0003954262,0.000252435,0.0003961546,0.0002893919],"domain_scores_gemma":[0.9991634,0.00002459406,0.0004857929,0.0002015531,0.00008612854,0.00003856766],"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":[0.0009813006,0.0004031105,0.008905472,0.002362647,0.001037971,0.002431755,0.0005472224,0.0001125407,0.00006959114,0.2504215,0.1005068,0.63222],"study_design_scores_gemma":[0.002047477,0.0001906093,0.1011179,0.001115369,0.0005199416,0.00006397834,0.001139298,0.0001134485,0.00001297949,0.00843241,0.8849093,0.0003373592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6838515,0.004691989,0.004363641,0.01522544,0.001424165,0.002373122,0.00001719871,0.0000973457,0.2879556],"genre_scores_gemma":[0.987766,0.001771208,0.00255811,0.003875165,0.0006215878,0.000007386413,0.000004237475,0.00002580242,0.003370448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7844024,"threshold_uncertainty_score":0.7774825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3175009812","doi":"10.1057/s41272-021-00325-y","title":"Can coupons counteract strategic consumer behavior?","year":2021,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":2,"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":"Competition (biology); Business; Quality (philosophy); Investment (military); Revenue management; Mechanism (biology); Marketing; Industrial organization; Consumer behaviour; Revenue; Finance","authors":[{"name":"Dror Hermel","is_ca":true},{"name":"Benny Mantin","is_ca":false},{"name":"Yossi Aviv","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02357678798775595,"gpt":0.2216344592590139,"spread":0.1980576712712579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002389442,0.00009443523,0.0001797873,0.0001131945,0.00007799032,0.0005441859,0.0000901349,0.00002376704,0.00004133647],"category_scores_gemma":[0.000009913772,0.00008540804,0.00006493059,0.0001148812,0.00001805668,0.0009837963,0.00008582047,0.0001073108,0.00002104641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571485,"about_ca_system_score_gemma":0.00001819729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004289058,"about_ca_topic_score_gemma":0.00007175294,"domain_scores_codex":[0.9993557,0.000001436692,0.0002837713,0.0000993227,0.0001153971,0.0001443838],"domain_scores_gemma":[0.9994631,0.00001628834,0.0003122895,0.0000994956,0.00009178343,0.00001700528],"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":[0.0003139029,0.00135717,0.1501975,0.00297529,0.00186131,0.01128863,0.0005930061,0.001006395,0.001315002,0.3653186,0.08650136,0.3772718],"study_design_scores_gemma":[0.003374353,0.0001039349,0.07098175,0.001048893,0.001369129,0.0006698566,0.006861924,0.0007213097,0.00009952784,0.09102222,0.8227996,0.0009474821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832134,0.000405124,0.00002249116,0.0003526205,0.0004410284,0.00006506107,0.000004342166,0.000005212738,0.01549069],"genre_scores_gemma":[0.997605,0.0003835648,0.0001413358,0.0009599113,0.0002986335,0.000001590976,0.000006607269,0.00001118686,0.000592158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7362983,"threshold_uncertainty_score":0.5247598,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041342982","doi":"10.1057/rpm.2011.25","title":"Selling in channels with uncertain price","year":2011,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"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; Western University","funders":"","keywords":"Cannibalization; Revenue management; Common value auction; Microeconomics; Economics; Yield management; Revenue; Real estate; Computer science; Business; Industrial organization; Finance","authors":[{"name":"Fredrik Ødegaard","is_ca":true},{"name":"Martin L. Puterman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1214328098430551,"gpt":0.3416680696580757,"spread":0.2202352598150206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001946781,0.00004353502,0.0001089678,0.0001912475,0.00005577766,0.00003040471,0.0001645061,0.00001313475,0.00002487478],"category_scores_gemma":[0.00003701788,0.00002851634,0.00002066908,0.0003815994,0.00002248658,0.0001385727,0.00002700668,0.00008420264,0.00000894616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001161801,"about_ca_system_score_gemma":0.000007220301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006130027,"about_ca_topic_score_gemma":0.000002837898,"domain_scores_codex":[0.9992553,0.00006175812,0.0002808107,0.00008939341,0.0002368995,0.00007583213],"domain_scores_gemma":[0.9994053,0.00009734814,0.0002969391,0.0001078484,0.00005768168,0.00003486392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006411486,0.0004795341,0.04995897,0.0001176477,0.0002429888,0.00063342,0.0398346,0.01020994,0.000264628,0.1027803,0.008204917,0.7866319],"study_design_scores_gemma":[0.001851679,0.0006602118,0.08851926,0.0007255236,0.0001181266,0.0003729659,0.01288512,0.0008033769,0.001080663,0.6079395,0.2846437,0.0003999297],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588641,0.0004274111,0.1304654,0.0006974484,0.0002002203,0.0001857683,0.000001235878,0.000004317302,0.009154163],"genre_scores_gemma":[0.9938012,0.0001704605,0.004494898,0.0000946056,0.00004770466,0.000002124019,4.878734e-8,0.000002899423,0.001386069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.786232,"threshold_uncertainty_score":0.1162862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979995742","doi":"10.1057/rpm.2010.50","title":"Differential pricing at domestic and international airline gateway hubs","year":2010,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Foreclosure; Revenue management; Yield management; Revenue; Bundle; Economics; Business; Gateway (web page); Quarter (Canadian coin); Industrial organization; Microeconomics; Econometrics; Finance; Computer science","authors":[{"name":"Brenda Kahn","is_ca":false},{"name":"Philip Kahn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01773205537893388,"gpt":0.2400598825904804,"spread":0.2223278272115466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002931179,0.00006913954,0.0001884047,0.0002109238,0.00008445143,0.00005445669,0.00008637812,0.00003869907,0.0001750738],"category_scores_gemma":[0.00002923507,0.00006582002,0.00005164458,0.00008371111,0.00002172452,0.0001118896,0.0000800953,0.0001737331,0.000008970307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002132012,"about_ca_system_score_gemma":0.000002284195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008854932,"about_ca_topic_score_gemma":0.0000075197,"domain_scores_codex":[0.9993651,0.000006856217,0.0003856224,0.0001135928,0.00004263519,0.00008618953],"domain_scores_gemma":[0.9993445,0.00002491265,0.0004773571,0.00007951512,0.00002285209,0.00005089026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024969,0.0002615574,0.7695521,0.0001917779,0.001445008,0.0001707142,0.001418664,0.0003984944,0.0008457452,0.06913257,0.006712559,0.1497683],"study_design_scores_gemma":[0.002193485,0.0001469152,0.6823348,0.0001405941,0.0002007276,0.0002200839,0.0001108972,0.002317512,0.0001231224,0.01818479,0.2936828,0.0003442639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930537,0.0005715889,0.002044345,0.001174351,0.0006795588,0.00003615865,0.0000131222,0.000002652118,0.002424549],"genre_scores_gemma":[0.9945036,0.0008933084,0.0006104551,0.00006507483,0.0002591072,9.794952e-7,0.00000296986,0.000005873578,0.003658654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2869702,"threshold_uncertainty_score":0.2684063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401363623","doi":"10.1057/s41272-024-00499-1","title":"Tackling no-shows in fine dining: insights into cancellation policies and consumer awareness campaigns","year":2024,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University","funders":"Montclair State University","keywords":"Reservation; Popularity; Entitlement (fair division); Marketing; Equity (law); Dual (grammatical number); Honor; Business; Advertising; Public relations; Economics; Computer science; Psychology; Microeconomics; Internet privacy; Political science; Social psychology","authors":[{"name":"Esther L. Kim","is_ca":false},{"name":"Jason Tang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0684214481563083,"gpt":0.3858162681265433,"spread":0.317394819970235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366204,0.00008714655,0.0002338619,0.000508461,0.00008513869,0.0003195719,0.0001391857,0.00003488054,0.00001205228],"category_scores_gemma":[0.0001695363,0.00006308203,0.00004075628,0.0003048014,0.00003517513,0.0002593937,0.000100179,0.0001380734,0.000009798008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005207089,"about_ca_system_score_gemma":0.00003213411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000863369,"about_ca_topic_score_gemma":0.0003032867,"domain_scores_codex":[0.9988412,0.00005847109,0.0005407819,0.000177812,0.0002782677,0.0001034544],"domain_scores_gemma":[0.9991298,0.000398915,0.0002216879,0.0001177874,0.00008014071,0.00005171217],"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":[0.00002965346,0.00001998994,0.03462762,0.00006137916,0.00002804286,0.0001849629,0.005154373,0.001074525,0.0002582981,0.0002637297,0.00411192,0.9541855],"study_design_scores_gemma":[0.001124874,0.0003686563,0.06903912,0.003297383,0.0001912301,0.0001435731,0.00412283,0.01264639,0.0002422266,0.1308943,0.777407,0.0005224741],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938594,0.003892777,0.000884007,0.0003155628,0.0006507254,0.0000635446,0.000002097612,0.000003788431,0.0003281017],"genre_scores_gemma":[0.9974604,0.001010389,0.0007472936,0.00006712427,0.0001082283,0.000001096522,3.432941e-7,0.000006506289,0.000598646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9536631,"threshold_uncertainty_score":0.308164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4367611277","doi":"10.1057/s41272-023-00429-7","title":"Sales and revenue generation in sport business by David J. Shonk and James F. Weiner. 2021","year":2023,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Revenue management; Yield management; Business process management; Revenue; Demand management; Business management; Management; Business; Economics; Advertising; Marketing; Finance; Business administration; Business process; Keynesian economics","authors":[{"name":"Kyle D. S. Maclean","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01962150125812908,"gpt":0.2188929813901525,"spread":0.1992714801320234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006408119,0.00006736862,0.0002102327,0.000224784,0.00004991853,0.00005397288,0.00004368951,0.00002747384,0.00000731637],"category_scores_gemma":[0.00001314141,0.00006860068,0.00001721687,0.0002328656,0.00001849302,0.0001374155,0.00004061596,0.00007397769,0.000004035407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001545752,"about_ca_system_score_gemma":0.000003909356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008800502,"about_ca_topic_score_gemma":0.00002960183,"domain_scores_codex":[0.9994015,0.000003633273,0.000338357,0.0001214342,0.00003483861,0.0001003129],"domain_scores_gemma":[0.9996125,0.000009390429,0.000258746,0.00007031293,0.00001661349,0.00003241868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003096445,0.00005637511,0.8193865,0.0004354455,0.0001353459,0.0002427578,0.001428758,0.001185784,0.0001084801,0.004842434,0.09693171,0.07521547],"study_design_scores_gemma":[0.0004248445,0.0000457236,0.5573307,0.0001858068,0.00002183436,0.00002306003,0.0001047199,0.00364099,0.00000908597,0.001519839,0.4365499,0.0001434741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882615,0.009895301,0.0001241922,0.001320143,0.0001582695,0.00005984411,0.0000281348,0.000001290116,0.0001513547],"genre_scores_gemma":[0.9370973,0.06051388,0.0001528866,0.0001022312,0.0001552287,0.000001646044,0.00001042599,0.000007795502,0.001958657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3396182,"threshold_uncertainty_score":0.2797455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413830499","doi":"10.1057/s41272-025-00552-7","title":"Network revenue management in a parking garage with simulation-based optimization and nonhomogeneous Poisson arrival","year":2025,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fractal Systems (Canada)","funders":"","keywords":"Revenue management; Yield management; Revenue; Poisson distribution; Business process management; Arrival time; Computer science; Demand management; Operations research; Transport engineering; Engineering; Economics; Operations management; Mathematics; Finance; Statistics","authors":[{"name":"Goutam Dutta","is_ca":false},{"name":"S. Prasanna Kumar","is_ca":false},{"name":"Sumitro Santra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007102518035841409,"gpt":0.2385848383562033,"spread":0.2314823203203619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006114893,0.0001019619,0.0001889747,0.0003034268,0.00006085122,0.00005744903,0.00008022265,0.00003151379,0.000001274556],"category_scores_gemma":[0.00001141251,0.00009662979,0.00001970189,0.0003487318,0.00001350545,0.0000600048,0.00003472898,0.0001372286,3.245024e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008800399,"about_ca_system_score_gemma":0.000008377233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008418892,"about_ca_topic_score_gemma":0.00001497667,"domain_scores_codex":[0.9991792,0.00006284841,0.0002838354,0.0001092475,0.0001874184,0.000177396],"domain_scores_gemma":[0.9996217,0.0001080624,0.00009360706,0.0001144352,0.00002814012,0.00003402985],"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":[0.00004293109,0.000009480134,0.007004887,0.0005012939,0.000109254,0.0002139924,0.0001145978,0.9754975,0.000008280531,0.00004201282,0.0003679428,0.01608785],"study_design_scores_gemma":[0.002150938,0.0001271328,0.02980467,0.004854727,0.0001737385,0.00002423776,0.0001223217,0.9374738,0.00003543726,0.0003604082,0.02462201,0.000250553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5272032,0.009026432,0.4593135,0.0004012286,0.0006359424,0.001160173,0.000005758078,0.00004026574,0.002213472],"genre_scores_gemma":[0.9910647,0.0005973606,0.007977161,0.00004758775,0.0000790011,0.000008565327,0.000001030005,0.00001553836,0.0002090846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4638614,"threshold_uncertainty_score":0.3940448,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1964273443","doi":"10.1057/rpm.2014.35","title":"Better informed customers for improved revenue management?","year":2014,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"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":"Revenue management; Ticket; Yield management; Demand management; Marketing; Business; Value (mathematics); Revenue; Advertising; Marginal utility; Economics; Microeconomics; Computer science; Finance; Computer security","authors":[{"name":"Fredrik Ødegaard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01076438500715363,"gpt":0.2238786129236234,"spread":0.2131142279164698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231883,0.0002255932,0.0003414055,0.0005942772,0.0001969405,0.0002308865,0.000348189,0.0000514383,0.00002050606],"category_scores_gemma":[0.00005770301,0.0002040737,0.0001739864,0.0003040324,0.00004552133,0.0007087998,0.0002387513,0.0001434585,0.00002815294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005831029,"about_ca_system_score_gemma":0.00000591174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001873862,"about_ca_topic_score_gemma":0.00001298687,"domain_scores_codex":[0.9985573,0.0000185838,0.0005738532,0.0002258455,0.0002624643,0.000361994],"domain_scores_gemma":[0.9988444,0.00005997219,0.000690761,0.0002612081,0.0001102002,0.00003342849],"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":[0.0002374712,0.0001207631,0.001743932,0.003497952,0.0006479195,0.00003693622,0.0001921432,0.0001168997,0.0001156168,0.03134274,0.3238071,0.6381406],"study_design_scores_gemma":[0.001842882,0.00006888515,0.002860177,0.0003273678,0.0003723657,0.000005301431,0.0002716349,0.001006972,0.00001462632,0.007299305,0.985689,0.0002414404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4790832,0.003039283,0.1072245,0.0425312,0.01909922,0.01118683,0.00008953959,0.0003668892,0.3373793],"genre_scores_gemma":[0.9380932,0.001375188,0.01513404,0.02447274,0.005523855,0.0001253639,0.00003778296,0.0001410496,0.01509679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.661882,"threshold_uncertainty_score":0.8321885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041592456","doi":"10.1057/rpm.2012.11","title":"Factors affecting price setting in online auctions","year":2012,"lang":"en","type":"article","venue":"Journal of Revenue and Pricing Management","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Common value auction; Reputation; Product (mathematics); Willingness to pay; Set (abstract data type); Business; Forward auction; Microeconomics; Class (philosophy); Marketing; Economics; Auction theory; Computer science","authors":[{"name":"Chun Qiu","is_ca":true},{"name":"Peter T. L. Popkowski Leszczyc","is_ca":true},{"name":"Yongfu He","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09695452076900571,"gpt":0.3943499997106682,"spread":0.2973954789416625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002893079,0.00005577744,0.0001277039,0.0002619411,0.0001306544,0.00004097168,0.0001341955,0.00001955193,0.00001802897],"category_scores_gemma":[0.0003414535,0.00003998375,0.00004646663,0.0004529075,0.00001734006,0.0003098001,0.00005881648,0.0001488054,0.000005739282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000029272,"about_ca_system_score_gemma":0.000005638342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003257913,"about_ca_topic_score_gemma":0.000003260312,"domain_scores_codex":[0.9990277,0.0001176811,0.0003887054,0.0000775531,0.0002613701,0.000126964],"domain_scores_gemma":[0.9989342,0.0004332856,0.0004182101,0.0001094271,0.00004531143,0.00005955385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002475021,0.0004093025,0.5378789,0.00005431179,0.00009765507,0.00001257546,0.01445514,0.001792928,0.0005876618,0.007646894,0.006835634,0.4302043],"study_design_scores_gemma":[0.0002672668,0.0000388078,0.8871959,0.0001186334,0.00004036589,0.00004520387,0.01514046,0.00006185361,0.0001789357,0.01136867,0.08543745,0.0001064374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878286,0.0003052455,0.01037798,0.0005085859,0.0002802991,0.00007147517,0.000002768729,0.000003224813,0.000621894],"genre_scores_gemma":[0.9971189,0.00006838905,0.001854316,0.00005974324,0.0001970627,7.033487e-7,3.473002e-7,0.000003628157,0.0006968453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4300978,"threshold_uncertainty_score":0.163049,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}