{"meta":{"query_hash":"2801784808be","filters":{"venue":"Decision Sciences"},"cohort_total":76,"direct_labels_cover":0,"predictions_cover":76,"exported":76,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2801784808be","api":"https://metacan.xera.ac/api/v1/cohort?venue=Decision+Sciences"},"results":[{"id":"W1488247520","doi":"10.1111/deci.12093","title":"Producing Synergy: Innovation, IT, and Productivity","year":2014,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Calgary; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Productivity; Industrial organization; Stock (firearms); Investment (military); Business; Information technology; Economics; Computer science; Economic growth; Engineering","score_opus":0.06242734571149087,"score_gpt":0.26598441216865876,"score_spread":0.2035570664571679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488247520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95543027,0.00032172378,0.017731734,0.0040979725,0.0006832075,0.000113910486,0.000006583685,0.000028868328,0.021585759],"genre_scores_gemma":[0.9932506,0.000023703842,0.0057173227,0.00038521527,0.0002207193,0.000008190775,0.0000010939431,0.0000060712578,0.00038709707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841946,0.000017052871,0.0004616733,0.00082428945,0.000055019504,0.0002225086],"domain_scores_gemma":[0.999106,0.00019082724,0.00025724803,0.00034158962,0.0000558384,0.000048477395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054611666,0.00010424692,0.00024174099,0.0003801753,0.00033604648,0.00017580451,0.00023806839,0.000041731517,0.00008179886],"category_scores_gemma":[0.0034129876,0.00010032867,0.000022737788,0.00093457755,0.00024664414,0.0007000928,0.00009788248,0.00008381014,0.0001823587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010235826,0.000047100577,0.24503902,0.0000127953135,0.000006228616,2.4218153e-7,0.0005165142,0.0000957413,0.00015058716,0.67044353,0.0039051936,0.07977281],"study_design_scores_gemma":[0.00020938029,0.00009454926,0.23415679,0.000014541261,0.0000013150711,0.000009552818,0.000040686642,0.0024386041,0.0007251467,0.6369291,0.1251103,0.00027006224],"about_ca_topic_score_codex":0.00007749264,"about_ca_topic_score_gemma":0.000027041173,"teacher_disagreement_score":0.121205114,"about_ca_system_score_codex":0.000019012741,"about_ca_system_score_gemma":0.000023202721,"threshold_uncertainty_score":0.40912846},"labels":[],"label_agreement":null},{"id":"W1494071200","doi":"10.1111/deci.12085","title":"Socially Responsible Practices: An Exploratory Study on Scale Development using Stakeholder Theory","year":2014,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stakeholder; Construct (python library); Business; Exploratory research; Stakeholder theory; Knowledge management; Set (abstract data type); Stakeholder analysis; Corporate social responsibility; Scale (ratio); Spillover effect; Marketing; Process management; Public relations; Computer science; Sociology; Economics; Microeconomics; Political science","score_opus":0.30354289529446304,"score_gpt":0.3958758240280334,"score_spread":0.09233292873357035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494071200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988158,0.000010767127,0.0038191616,0.00014243842,0.0005283842,0.00044370024,2.3221534e-7,0.00013055922,0.0067667966],"genre_scores_gemma":[0.99068195,3.6145138e-7,0.007883026,0.0008242916,0.00045529657,0.0000151168115,0.0000011554047,0.00002121365,0.00011758957],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961043,0.00028624365,0.0006952768,0.00082090386,0.0016541238,0.0004391333],"domain_scores_gemma":[0.99631095,0.0012902556,0.0014300914,0.00047601367,0.0004482961,0.00004439755],"candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0261169,0.00021747006,0.00028122688,0.0005412296,0.001644694,0.0012853763,0.0006398122,0.000071105555,0.000092423405],"category_scores_gemma":[0.011431568,0.00017750135,0.00005613265,0.0016335513,0.00024707709,0.0030686248,0.00034750794,0.00016797098,0.00021324371],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022124918,0.0031745085,0.3551232,0.000049669376,0.000057482866,0.000089936766,0.02024917,0.0019283544,0.010542378,0.05163653,0.0005576485,0.5543786],"study_design_scores_gemma":[0.0023130549,0.00069163,0.3598044,0.0003377129,0.0001435758,0.0000070087463,0.22760713,0.010100508,0.0013329722,0.36090657,0.034737073,0.0020183886],"about_ca_topic_score_codex":0.000050842464,"about_ca_topic_score_gemma":0.0014829243,"teacher_disagreement_score":0.55236024,"about_ca_system_score_codex":0.000101607715,"about_ca_system_score_gemma":0.001198248,"threshold_uncertainty_score":0.9997514},"labels":[],"label_agreement":null},{"id":"W1497013266","doi":"10.1111/j.1540-5915.2012.00346.x","title":"Do Shareholders Really Prefer Their Executives to Maximize the Equity Value? A Newsvendor Case*","year":2012,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Business; Enterprise value; Newsvendor model; Equity (law); Capital structure; Microeconomics; Finance; Shareholder; Equity value; Debt; Economics; Corporate governance; Marketing; Internal debt","score_opus":0.14181988898589584,"score_gpt":0.3299378477390454,"score_spread":0.18811795875314954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497013266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676252,0.00035009987,0.0033524302,0.0024664465,0.000838755,0.000345681,0.000015764314,0.000054207907,0.02495142],"genre_scores_gemma":[0.9942358,0.000022295137,0.0008147735,0.0039951424,0.0006064898,0.000026693358,0.0000010391502,0.0000095823625,0.0002881634],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99819046,0.000014340679,0.00025744838,0.0003877789,0.00065645657,0.00049351907],"domain_scores_gemma":[0.9989695,0.00026136226,0.00022732267,0.00039841357,0.00011047888,0.000032911157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019799643,0.00017346737,0.00017200477,0.00013370485,0.0006886682,0.0007158386,0.00088092947,0.00003930233,0.0002510322],"category_scores_gemma":[0.00048857444,0.000094703035,0.00008706769,0.0013345567,0.00017583335,0.0021696265,0.0006545047,0.00009615801,0.0005779443],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024340994,0.00026701062,0.1385439,0.000035512483,0.000023944089,0.00013623679,0.0019172945,0.0010488047,0.00048192733,0.081792705,0.23140116,0.5441081],"study_design_scores_gemma":[0.0004760022,0.000036789894,0.4012285,0.00015077021,0.000024145664,0.00008424773,0.0023923768,0.00070247264,0.00011244153,0.02214095,0.5722058,0.00044556803],"about_ca_topic_score_codex":0.00048995676,"about_ca_topic_score_gemma":0.0001759572,"teacher_disagreement_score":0.54366255,"about_ca_system_score_codex":0.000022839678,"about_ca_system_score_gemma":0.00003960025,"threshold_uncertainty_score":0.7428497},"labels":[],"label_agreement":null},{"id":"W1506188346","doi":"10.1111/deci.12055","title":"Accounting Performance and Capacity Investment Decisions: Evidence from California Hospitals","year":2014,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Investment (military); Capacity utilization; Accounting information system; Business; Investment decisions; Empirical evidence; Accounting; Throughput accounting; Reputation; Management accounting; Economics; Financial accounting; Finance; Microeconomics","score_opus":0.1256643950714882,"score_gpt":0.3368523449916159,"score_spread":0.21118794992012774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506188346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915983,0.00015812012,0.004208742,0.00044754782,0.00033879417,0.00014939564,0.0000014270071,0.000051485345,0.003046201],"genre_scores_gemma":[0.99202067,0.000074487565,0.006234381,0.0012577313,0.00035573376,0.000014728344,0.0000016396508,0.0000067411092,0.00003389462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739593,0.000020324132,0.00044982688,0.000512653,0.0013149161,0.00030637352],"domain_scores_gemma":[0.9976866,0.00139106,0.00030441472,0.0002651781,0.00032019702,0.000032548436],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006145646,0.00013337583,0.00018706653,0.00027856266,0.0008712803,0.0009929229,0.00043792377,0.00005541316,0.00011745374],"category_scores_gemma":[0.020025183,0.00009690161,0.00004071655,0.0008489063,0.00028325242,0.001716716,0.00034654335,0.00011968241,0.0005072293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001687384,0.000020721718,0.6844292,0.000013084015,0.000002891563,0.0000014437899,0.0000646002,0.00021194814,0.0005140277,0.0025195791,0.0034466407,0.30875894],"study_design_scores_gemma":[0.00019248456,0.000033948636,0.82873875,0.00050359196,0.000010660999,0.0000014869078,0.00009902185,0.10947047,0.00021552817,0.03310698,0.027407624,0.00021945771],"about_ca_topic_score_codex":0.000917904,"about_ca_topic_score_gemma":0.00007151075,"teacher_disagreement_score":0.3085395,"about_ca_system_score_codex":0.000020744732,"about_ca_system_score_gemma":0.000053549342,"threshold_uncertainty_score":0.9882296},"labels":[],"label_agreement":null},{"id":"W1546420410","doi":"10.1111/deci.12042","title":"Individual Exploration, Sensemaking, and Innovation: A Design for the Discovery of Novel Information","year":2013,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sensemaking; Relevance (law); Computer science; Knowledge management; Data science; Point (geometry); Key (lock); Face (sociological concept)","score_opus":0.15743800822196233,"score_gpt":0.3246490466953629,"score_spread":0.16721103847340055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546420410","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11950988,0.000044605036,0.87821627,0.0006368582,0.00019294248,0.00032114456,0.0000016821659,0.000008585775,0.0010680219],"genre_scores_gemma":[0.99215156,0.0000073181677,0.0069880704,0.0006392141,0.0001313714,0.000042628206,0.0000028755119,0.0000017204424,0.000035272362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993195,0.0000023250516,0.00025298807,0.00009132994,0.00025544307,0.00007843818],"domain_scores_gemma":[0.9985507,0.0006035255,0.00019209976,0.00007544701,0.0005759071,0.0000022843958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009187501,0.000053680917,0.00006203047,0.00030634977,0.0002680844,0.000812115,0.00019737198,0.000015929161,0.000029757417],"category_scores_gemma":[0.00088560005,0.00003149688,0.000015412501,0.0011781007,0.00015588083,0.0061726263,0.00009731464,0.000022412189,0.00003086664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002408347,0.00003976425,0.0022984298,0.000028354149,0.000009037474,4.8358306e-8,0.00063068967,0.0008249481,0.00065528945,0.66947633,0.008968928,0.31704408],"study_design_scores_gemma":[0.0011777799,0.00016508374,0.06506241,0.00032070038,0.000057870315,0.000005448428,0.015284838,0.41524976,0.004704038,0.3213013,0.17610951,0.00056125177],"about_ca_topic_score_codex":0.000031544692,"about_ca_topic_score_gemma":0.000008751962,"teacher_disagreement_score":0.8726416,"about_ca_system_score_codex":0.0000025696738,"about_ca_system_score_gemma":0.00002325139,"threshold_uncertainty_score":0.7831244},"labels":[],"label_agreement":null},{"id":"W1550301539","doi":"10.1111/deci.12038","title":"Efficiency Evaluation in Search Advertising","year":2013,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Data envelopment analysis; Search advertising; Computer science; Click-through rate; Resource (disambiguation); Principal component analysis; Online advertising; Business; Advertising; The Internet; World Wide Web; Mathematics; Artificial intelligence; Statistics","score_opus":0.07343823925292041,"score_gpt":0.3481110302195194,"score_spread":0.27467279096659897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550301539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96554613,0.00011822522,0.0009797392,0.00028284095,0.00030535072,0.0002648113,6.799859e-8,0.000026729744,0.03247608],"genre_scores_gemma":[0.9991108,0.0000036794202,0.00050500856,0.00026100734,0.00006957245,0.000015107176,7.8265555e-7,0.000003751987,0.000030292033],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99829435,0.00001707917,0.00023075398,0.0002860451,0.0009254654,0.0002463272],"domain_scores_gemma":[0.99940753,0.00020796002,0.000050154995,0.00013450695,0.00019030532,0.000009556127],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032915473,0.000075837896,0.000090648326,0.0005753853,0.00025524435,0.00062805146,0.00032907783,0.000026889953,0.0021826536],"category_scores_gemma":[0.0004779507,0.00005884552,0.000029063762,0.0016801782,0.00009301034,0.0017333857,0.0001504153,0.00007277877,0.00082009716],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028706918,0.000021610262,0.2311705,0.0000032210005,2.8010334e-7,9.3894863e-7,0.000043191973,0.00031328778,0.00057421206,0.0003206173,0.0002997144,0.7672495],"study_design_scores_gemma":[0.00026153307,0.000005056198,0.8401612,0.00005789997,0.000005992316,9.519834e-7,0.000435238,0.15265074,0.000043775493,0.0050972337,0.0011580376,0.00012235453],"about_ca_topic_score_codex":0.0014930312,"about_ca_topic_score_gemma":0.00015745054,"teacher_disagreement_score":0.7671272,"about_ca_system_score_codex":0.000021232318,"about_ca_system_score_gemma":0.000041169005,"threshold_uncertainty_score":0.99995786},"labels":[],"label_agreement":null},{"id":"W1558466998","doi":"10.1111/deci.12080","title":"Price Incentives and Coordination in a Two‐Product Decentralized Supply Chain","year":2014,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Supply chain; Incentive; Microeconomics; Business; Profit (economics); Industrial organization; Pareto principle; Product (mathematics); Competition (biology); Economics; Marketing; Operations management","score_opus":0.023996462694156548,"score_gpt":0.285269023746329,"score_spread":0.26127256105217245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558466998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97464025,0.00020863046,0.0033624775,0.0030759021,0.00054883776,0.0003047835,3.639325e-7,0.000051399347,0.017807383],"genre_scores_gemma":[0.997201,0.000028102628,0.0010674102,0.0012980074,0.00018828189,0.000013273261,0.0000030103613,0.0000059694453,0.00019489447],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852973,0.000025226613,0.00025536315,0.00044505668,0.00046797117,0.0002766358],"domain_scores_gemma":[0.99949837,0.00014384117,0.00012363569,0.00015410852,0.000063981,0.000016044542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024461194,0.00012093445,0.00015304361,0.00053514785,0.00022374917,0.00048724393,0.00031957155,0.00001572978,0.00019231807],"category_scores_gemma":[0.00064790156,0.000096677635,0.000027377942,0.0011027332,0.00018440266,0.0012929033,0.00022668335,0.00005366145,0.00008243272],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006946241,0.00015551578,0.50880694,0.0000480258,0.000006068901,0.0000049285763,0.00026797573,0.00031879495,0.00050120027,0.23427778,0.01126462,0.24427868],"study_design_scores_gemma":[0.0020489104,0.000027177577,0.41491514,0.00013522596,0.0000107125725,0.0000013851095,0.00087592663,0.09334537,0.00012516159,0.052859843,0.43528512,0.00037001568],"about_ca_topic_score_codex":0.00024338064,"about_ca_topic_score_gemma":0.00017530785,"teacher_disagreement_score":0.4240205,"about_ca_system_score_codex":0.00002230754,"about_ca_system_score_gemma":0.000009747509,"threshold_uncertainty_score":0.46985045},"labels":[],"label_agreement":null},{"id":"W1592510847","doi":"10.1111/deci.12031","title":"Channel Structure Design for Complementary Products under a Co‐Opetitive Environment","year":2013,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inefficiency; First-mover advantage; Business; Competitor analysis; Complementarity (molecular biology); Industrial organization; Profit (economics); Complementary good; Order (exchange); Microeconomics; Competition (biology); Commerce; Economics; Marketing","score_opus":0.08169320900681426,"score_gpt":0.25931515125970145,"score_spread":0.1776219422528872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592510847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9484064,0.000030781535,0.04517902,0.0010807333,0.00043371966,0.0010651852,0.000017277625,0.000031717693,0.0037551622],"genre_scores_gemma":[0.9899305,0.000003218261,0.0064499495,0.0031242745,0.00031253407,0.000036951333,0.000025671274,0.000009094795,0.00010778126],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989799,6.85631e-7,0.00020296538,0.0003452359,0.0002143773,0.00025680917],"domain_scores_gemma":[0.9995502,0.00010370339,0.0001551486,0.00012613865,0.00005035701,0.000014428455],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00035280004,0.00011837667,0.00012662832,0.00012835629,0.0003173316,0.0011592386,0.00031360332,0.000023823517,0.000818772],"category_scores_gemma":[0.000060738348,0.00008399958,0.000034072513,0.00015176565,0.0001317457,0.004280255,0.00012149712,0.000030693787,0.0006014939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025484018,0.00046208137,0.003465915,0.0001437676,0.00011366128,0.0000056598114,0.00030320583,0.06675454,0.0020023189,0.21609038,0.465111,0.24529263],"study_design_scores_gemma":[0.00069066655,0.00007482867,0.008358871,0.000030061805,0.000013322131,0.0000021782419,0.0030121151,0.029466007,0.0006266619,0.87490606,0.082403235,0.00041601135],"about_ca_topic_score_codex":0.00005649095,"about_ca_topic_score_gemma":0.00001180584,"teacher_disagreement_score":0.6588157,"about_ca_system_score_codex":0.00002140267,"about_ca_system_score_gemma":0.000012528261,"threshold_uncertainty_score":0.99987763},"labels":[],"label_agreement":null},{"id":"W1603300089","doi":"10.1111/deci.12023","title":"Market Impact on IT Security Spending","year":2013,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Information and Cyber Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Investment (military); Duopoly; Business; Investment decisions; Microeconomics; Markov chain; Industrial organization; Economics; Behavioral economics; Computer science","score_opus":0.029333961818908728,"score_gpt":0.32892866396837833,"score_spread":0.2995947021494696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603300089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60269386,0.000023961282,0.069803774,0.0019646229,0.00095659686,0.00023646049,0.000002647722,0.00014317378,0.3241749],"genre_scores_gemma":[0.98905313,0.000009474112,0.0093939705,0.0013482531,0.000033459564,0.000005928669,3.3753383e-7,0.0000018099428,0.00015365754],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981312,0.00004345423,0.00027136094,0.00031691394,0.00091360457,0.00032344068],"domain_scores_gemma":[0.9988464,0.00038968067,0.00010160457,0.00042146633,0.00008315724,0.00015766782],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013544275,0.00012497374,0.00012387615,0.00025004672,0.00039152513,0.0011266887,0.0015666584,0.000043439773,0.0025961855],"category_scores_gemma":[0.00017457342,0.00007883799,0.00009086374,0.0008918894,0.000103058475,0.00261867,0.0002678836,0.00011370317,0.0029570123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000146515395,0.00012374789,0.0049946164,0.0000044183494,0.000008533606,0.000008883972,0.004462431,0.00019224787,0.000053949956,0.24374412,0.45394668,0.29244572],"study_design_scores_gemma":[0.0005420303,0.00047625613,0.17644574,0.00008572392,0.0000020312464,0.00006173058,0.0006506812,0.5399557,0.0011731769,0.23702703,0.0429579,0.0006220554],"about_ca_topic_score_codex":0.00005736725,"about_ca_topic_score_gemma":0.0000055292167,"teacher_disagreement_score":0.5397634,"about_ca_system_score_codex":0.000041642572,"about_ca_system_score_gemma":0.000063226784,"threshold_uncertainty_score":0.99991024},"labels":[],"label_agreement":null},{"id":"W1687012967","doi":"10.1111/j.1540-5915.2007.00170.x","title":"Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective*","year":2007,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":517,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Complex adaptive system; Perspective (graphical); Supply chain; Supply network; Supply chain management; Management science; Field (mathematics); Complexity management; Network theory; Risk analysis (engineering); Knowledge management; Business; Artificial intelligence; Marketing; Economics","score_opus":0.29363469183170354,"score_gpt":0.44205405702261075,"score_spread":0.1484193651909072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1687012967","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4015484,0.0048001376,0.5878187,0.000059581384,0.0012299727,0.0005933916,0.000018126075,0.000060889397,0.0038708653],"genre_scores_gemma":[0.9412567,0.00001933016,0.05794411,0.00017124985,0.0004942525,0.000008494115,5.713391e-7,0.000025559135,0.00007975322],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98792005,0.00129785,0.002491495,0.0022472788,0.0045171073,0.0015262249],"domain_scores_gemma":[0.97357005,0.02295347,0.0009914229,0.0010386652,0.00094798714,0.00049840746],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.051843468,0.00055844174,0.0013443113,0.0016375848,0.0017812459,0.0020386246,0.0021300102,0.00022953273,0.00022979124],"category_scores_gemma":[0.0048449324,0.0004082475,0.00026237452,0.006553996,0.0018418372,0.0013640127,0.0012905166,0.0005127114,0.000040681727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062110357,0.00009601446,0.07310591,0.00000291592,0.000018213823,0.00011941496,0.0009020938,0.14089829,0.00020626586,0.7493455,0.0017500675,0.032934226],"study_design_scores_gemma":[0.00054486457,0.0001468886,0.21019047,0.00023679894,0.000007905407,0.00017099641,0.010935528,0.4354688,0.000002816975,0.34041145,0.0014791765,0.00040429452],"about_ca_topic_score_codex":0.0016794446,"about_ca_topic_score_gemma":0.0021986861,"teacher_disagreement_score":0.5397083,"about_ca_system_score_codex":0.00037249504,"about_ca_system_score_gemma":0.00022300123,"threshold_uncertainty_score":0.9998369},"labels":[],"label_agreement":null},{"id":"W1873865352","doi":"10.1111/j.1540-5915.2011.00340.x","title":"Serial Chain Merger Evaluation Model and Application to Mortgage Banking*","year":2012,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Supply chain; Upstream (networking); Industrial organization; Data envelopment analysis; Downstream (manufacturing); Computer science; Business; Chain (unit); Supply chain management; Marketing; Telecommunications; Mathematics; Mathematical optimization","score_opus":0.15652111206873395,"score_gpt":0.4593941855367189,"score_spread":0.302873073467985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1873865352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6803772,0.00019986878,0.31553388,0.0007662282,0.0004276432,0.00030654628,0.0000041008248,0.000029960682,0.0023545856],"genre_scores_gemma":[0.9697726,0.0000070432557,0.029257068,0.0006020242,0.00017168112,0.0000452115,0.0000016230192,0.000007990544,0.00013478434],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99164146,0.00028966359,0.0008591878,0.0009699981,0.005727228,0.00051243394],"domain_scores_gemma":[0.9962643,0.001694984,0.0003099328,0.00079706195,0.00060103415,0.000332706],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03760923,0.00018808394,0.00031568253,0.00095039053,0.0008410568,0.0005989034,0.0011842684,0.000093492374,0.0003442362],"category_scores_gemma":[0.008881154,0.00012816432,0.00009838153,0.0040412364,0.0003297481,0.0012161935,0.0003479583,0.000101888494,0.00064412307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049334176,0.0001562769,0.015161724,0.0000011510477,0.000007273271,3.943123e-7,0.0030932857,0.35422748,0.019907685,0.013664342,0.0062925564,0.58743846],"study_design_scores_gemma":[0.00016985417,0.000042199063,0.026236366,0.000009336023,0.000025222958,0.0000035775413,0.0004172855,0.92021453,0.00043469525,0.04807805,0.0041479794,0.000220908],"about_ca_topic_score_codex":0.000026202479,"about_ca_topic_score_gemma":0.000048901882,"teacher_disagreement_score":0.58721757,"about_ca_system_score_codex":0.00006248837,"about_ca_system_score_gemma":0.00014226159,"threshold_uncertainty_score":0.99946743},"labels":[],"label_agreement":null},{"id":"W1902567864","doi":"10.1111/deci.12091","title":"Strategies for Appointment Policy Design with Patient Unpunctuality","year":2014,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Scheduling (production processes); Operations research; Observational study; Schedule; Operations management; Workload; Medicine; Economics; Engineering","score_opus":0.2011184541217876,"score_gpt":0.5042415364895649,"score_spread":0.3031230823677773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902567864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06661156,0.000016516919,0.9251852,0.0025116368,0.00020478449,0.0009746864,0.000006709437,0.000045670626,0.00444325],"genre_scores_gemma":[0.639616,0.000008145335,0.35828298,0.0016873012,0.00011141688,0.00020979447,0.0000049138084,0.0000066180573,0.00007281117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998119,0.00037332874,0.0004229788,0.00032146397,0.00041843648,0.00034479483],"domain_scores_gemma":[0.9971272,0.0019833443,0.00014733156,0.00021877488,0.00040099892,0.00012237775],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003137789,0.00010451453,0.00016323218,0.00015287082,0.0019532735,0.00008535708,0.00016929497,0.000074821124,0.000090976144],"category_scores_gemma":[0.0009200335,0.000060231247,0.000025780224,0.0005128339,0.000118298965,0.00025837915,0.000033767752,0.00010168731,0.000048372316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029900912,0.00012930119,0.0022318042,0.00006540727,0.000009963968,5.050868e-7,0.009921025,0.15770568,0.000091795526,0.60526067,0.010409468,0.2138754],"study_design_scores_gemma":[0.0033038822,0.0072976076,0.005145027,0.0006986117,0.000026381726,0.000005033868,0.073276184,0.57303965,0.0002509266,0.21164836,0.12444138,0.0008669601],"about_ca_topic_score_codex":0.00019447606,"about_ca_topic_score_gemma":0.00017886635,"teacher_disagreement_score":0.5730045,"about_ca_system_score_codex":0.0000633348,"about_ca_system_score_gemma":0.0016145842,"threshold_uncertainty_score":0.9993461},"labels":[],"label_agreement":null},{"id":"W1989459903","doi":"10.1111/j.1540-5915.2002.tb01648.x","title":"Modeling the Effects of a Service Guarantee on Perceived Service Quality Using Alternating Conditional Expectations (ACE)*","year":2002,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National University of Singapore; University of Minnesota; Purdue University; National Science Foundation","keywords":"Service (business); Affect (linguistics); Service quality; Multinational corporation; Empirical research; Quality (philosophy); Linear regression; Service guarantee; Computer science; Service level objective; Variables; Business; Econometrics; Marketing; Service provider; Psychology; Service design; Economics; Statistics; Mathematics; Machine learning; Finance","score_opus":0.12815174022064066,"score_gpt":0.35393557637872086,"score_spread":0.2257838361580802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989459903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99179167,0.000105512256,0.0038927668,0.002408064,0.0003721988,0.00021504429,0.000004541986,0.000046375506,0.0011638392],"genre_scores_gemma":[0.9900921,0.000005190017,0.00093742507,0.008661767,0.0002689751,0.000010369297,0.0000049211085,0.00000898339,0.000010277305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787414,0.000056617613,0.00050160487,0.00037991864,0.0009368375,0.0002509003],"domain_scores_gemma":[0.9977589,0.0011701811,0.00028917892,0.00029151063,0.0004770107,0.000013197871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011117193,0.00016247564,0.00021792891,0.0002521626,0.00096707564,0.00032808175,0.0007294688,0.000048250316,0.0002231377],"category_scores_gemma":[0.0005389302,0.00011325559,0.00008895792,0.001675592,0.00009007812,0.0010609439,0.00016613826,0.00013692315,0.00022631108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019325603,0.0010421894,0.0055206595,0.0014107217,0.000115121125,0.000017470491,0.025488803,0.81665343,0.018354423,0.113332465,0.0007852299,0.017086225],"study_design_scores_gemma":[0.0004094879,0.000012065575,0.005124791,0.00025254226,0.000025593623,0.0000020694106,0.0064015393,0.9772592,0.000061862585,0.010175204,0.0001042019,0.00017144307],"about_ca_topic_score_codex":0.003703291,"about_ca_topic_score_gemma":0.0010846251,"teacher_disagreement_score":0.16060576,"about_ca_system_score_codex":0.000022135691,"about_ca_system_score_gemma":0.000018801342,"threshold_uncertainty_score":0.7438062},"labels":[],"label_agreement":null},{"id":"W1995078780","doi":"10.1111/j.1540-5915.2000.tb00927.x","title":"Fitting the Lognormal Distribution to Surgical Procedure Times*","year":2000,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"","keywords":"Log-normal distribution; Skewness; Statistics; Mathematics; Estimator; Statistic; Data set; Location parameter; Distribution fitting; Probability distribution","score_opus":0.0781699803988085,"score_gpt":0.475186324368893,"score_spread":0.3970163439700845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995078780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9456869,0.0000745095,0.01571648,0.01870852,0.00030635318,0.0007077603,0.000024578107,0.000073262716,0.018701673],"genre_scores_gemma":[0.98594856,0.000054563177,0.0067825923,0.0020144507,0.0003085894,0.000077744015,0.000025160909,0.000005950757,0.0047824136],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981661,0.00023758164,0.00044235121,0.00028915177,0.00048597483,0.00037885373],"domain_scores_gemma":[0.9984627,0.00095285464,0.000058943366,0.00018774105,0.00019429727,0.00014351516],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0030688993,0.00008288301,0.00011344047,0.00004540352,0.00371715,0.000075146236,0.00030155666,0.00009886143,0.0030933542],"category_scores_gemma":[0.00082242134,0.00004594603,0.000032446795,0.0009972093,0.00008965638,0.00021166919,0.000052266667,0.00025309008,0.0009808276],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024993514,0.00014114923,0.04793677,0.000034344117,0.000007870607,0.000015716227,0.008525144,0.11464053,0.000029936657,0.032825593,0.198851,0.59674203],"study_design_scores_gemma":[0.000529461,0.00022899285,0.029379925,0.00028200168,0.000006796084,0.000020899302,0.0029886137,0.11470409,0.000022459513,0.0013481023,0.8502283,0.0002603266],"about_ca_topic_score_codex":0.00007278048,"about_ca_topic_score_gemma":0.00006181121,"teacher_disagreement_score":0.6513773,"about_ca_system_score_codex":0.000049458315,"about_ca_system_score_gemma":0.00040399816,"threshold_uncertainty_score":0.99979705},"labels":[],"label_agreement":null},{"id":"W2008587347","doi":"10.1111/j.1540-5915.2000.tb00947.x","title":"Quality‐related Action Programs: Their Impact on Quality Performance and Firm Performance","year":2000,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Quality (philosophy); Business; Quality management; Process management; Product (mathematics); Supply chain; Service quality; Marketing; Action (physics); Automotive industry; Service (business); Industrial organization; Computer science; Operations management; Economics; Engineering","score_opus":0.09638023148960514,"score_gpt":0.3608975339285119,"score_spread":0.2645173024389068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008587347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96938366,0.000049363673,0.00006230066,0.0005888964,0.00022487185,0.00029602522,0.0000019184183,0.00012823065,0.029264722],"genre_scores_gemma":[0.998033,0.0002034041,0.00013502646,0.0008071908,0.00014402105,0.00001752452,0.000011532378,0.000009007532,0.0006392902],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99760896,0.000044747227,0.0005530932,0.0005420291,0.0008478049,0.00040338183],"domain_scores_gemma":[0.9991439,0.00020925974,0.0002088283,0.00032799135,0.00007883968,0.00003117462],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0041528223,0.00024344891,0.00027845032,0.00027420747,0.00085585,0.00079654285,0.0004461738,0.00007670877,0.0012450836],"category_scores_gemma":[0.00009359366,0.00015216849,0.00010197203,0.0011233,0.00032703904,0.002501876,0.000116235584,0.00016555279,0.00073195377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018010492,0.00012076621,0.08654235,0.000062600986,0.000011298947,6.8842695e-7,0.00014454406,0.00092617935,0.000015172487,0.002080845,0.0006566434,0.9092588],"study_design_scores_gemma":[0.00057473127,0.0001809717,0.89954996,0.0001264359,0.000009491507,0.0000024240594,0.00068832934,0.029456642,0.000027105756,0.003923075,0.06508447,0.0003763632],"about_ca_topic_score_codex":0.00032262088,"about_ca_topic_score_gemma":0.000046667377,"teacher_disagreement_score":0.90888244,"about_ca_system_score_codex":0.000036401532,"about_ca_system_score_gemma":0.00002220997,"threshold_uncertainty_score":0.99966794},"labels":[],"label_agreement":null},{"id":"W2013717652","doi":"10.1111/j.1540-5915.2002.tb01660.x","title":"A Purchasing Framework for B2B Pricing Decisions and Risk‐sharing in Supply Chains*","year":2002,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Purchasing; Supply chain; Business; Purchasing management; Supply chain management; Corporation; Computer science; Industrial organization; Microeconomics; Marketing; Economics; Finance","score_opus":0.0854567130226988,"score_gpt":0.30108266229061803,"score_spread":0.21562594926791923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013717652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9027925,0.0005857343,0.08930742,0.0009815542,0.00064281875,0.0005148731,0.0000021020583,0.00007259839,0.005100363],"genre_scores_gemma":[0.9705521,0.00029430192,0.027445978,0.0011182923,0.0003818324,0.00004562581,0.0000014488726,0.000016562648,0.00014387749],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797344,0.000008908811,0.0004051727,0.00063571765,0.0005298623,0.00044690457],"domain_scores_gemma":[0.9985325,0.0009145029,0.00019550572,0.00026680666,0.000062926025,0.000027797541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020768505,0.00017406626,0.00022049379,0.0008818748,0.0007512191,0.00092868635,0.00055975025,0.00006701193,0.00027696879],"category_scores_gemma":[0.0027686032,0.00014342231,0.00007037126,0.0013901211,0.00015691516,0.0012328406,0.00044837728,0.00014485717,0.00007740641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033165612,0.0001218305,0.32330346,0.000033078948,0.000010631262,0.000011977135,0.00063774525,0.0010520917,0.000031033596,0.17918429,0.0033022433,0.49227846],"study_design_scores_gemma":[0.0009992784,0.000049678107,0.06301528,0.0006894178,0.000028553453,0.0000028579836,0.0025280344,0.56636894,0.000017567636,0.30094826,0.06487365,0.00047847664],"about_ca_topic_score_codex":0.0001621224,"about_ca_topic_score_gemma":0.00010926103,"teacher_disagreement_score":0.56531686,"about_ca_system_score_codex":0.00003239813,"about_ca_system_score_gemma":0.0000054954944,"threshold_uncertainty_score":0.8955344},"labels":[],"label_agreement":null},{"id":"W2015373424","doi":"10.1111/j.1540-5915.2009.00253.x","title":"Locating Facilities in the Presence of Disruptions and Incomplete Information*","year":2009,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Facility location problem; Reliability (semiconductor); Computer science; Operations research; Decision maker; Set (abstract data type); Information system; Value of information; Complete information; Total cost; Decomposition; Operations management; Business; Economics; Mathematics; Microeconomics","score_opus":0.05252513898693503,"score_gpt":0.2948862047612732,"score_spread":0.24236106577433816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015373424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96769357,0.0000613444,0.008099513,0.004019079,0.00011843246,0.00020406314,0.0000028518355,0.00001747104,0.01978368],"genre_scores_gemma":[0.9983856,0.000011816039,0.0005467901,0.0010065476,0.00001803523,0.0000049230493,0.000002467361,4.170915e-7,0.00002338167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991201,0.000007753276,0.00028340606,0.00009870072,0.0003874173,0.00010259047],"domain_scores_gemma":[0.99965096,0.0000900765,0.000055089247,0.00012839692,0.00007142006,0.0000040757486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012252779,0.00005258777,0.000066185574,0.00023987454,0.00020981408,0.00021836528,0.0003214759,0.000011329697,0.00007450401],"category_scores_gemma":[0.000515267,0.000033608307,0.000016465185,0.0008306219,0.00015008113,0.0019133933,0.0000699307,0.00003479328,0.000043294596],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017951099,0.00008729649,0.02773767,0.00010206583,0.0000022220725,5.418134e-7,0.0042139366,0.011100259,0.000047820507,0.5193381,0.0038564433,0.43349573],"study_design_scores_gemma":[0.00031745833,0.000037474136,0.66418016,0.00007172391,0.0000063667403,0.0000010922254,0.02650789,0.1281447,0.000008397456,0.07661987,0.1039084,0.00019649943],"about_ca_topic_score_codex":0.0006611769,"about_ca_topic_score_gemma":0.0003216535,"teacher_disagreement_score":0.6364425,"about_ca_system_score_codex":0.0000037393243,"about_ca_system_score_gemma":0.00000819239,"threshold_uncertainty_score":0.21057014},"labels":[],"label_agreement":null},{"id":"W2037466801","doi":"10.1111/j.0011-7315.2004.02620.x","title":"Net‐Based Customer Service Systems: Evolution and Revolution in Web Site Functionalities*","year":2004,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Taxonomy (biology); Knowledge management; Web service; Component (thermodynamics); World Wide Web; Business; Process management; Data science; Ecology","score_opus":0.041506782986743374,"score_gpt":0.2767905612872886,"score_spread":0.2352837783005452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037466801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890726,0.00061054534,0.0028500883,0.0021646346,0.0006932312,0.0002046338,0.0000049142213,0.00008395101,0.0043154093],"genre_scores_gemma":[0.99657655,0.000008123644,0.00030825284,0.0027313,0.00030052307,0.00001564901,0.000010886735,0.0000065043446,0.000042212894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982406,0.000021215084,0.00036428033,0.00040907497,0.00069590774,0.00026892766],"domain_scores_gemma":[0.999297,0.00013141923,0.00015909184,0.00017401278,0.00021760075,0.000020832305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018321164,0.00013806055,0.00017247102,0.0006265284,0.0003868066,0.00041846017,0.00022276223,0.0000793782,0.000089136316],"category_scores_gemma":[0.0001261003,0.00011782633,0.000034083252,0.002387256,0.00011792434,0.0018446869,0.000103997925,0.000104428065,0.00075154024],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045632463,0.0005134838,0.31795415,0.0010313833,0.000017865857,0.000027360555,0.0007039014,0.22418313,0.0015222143,0.43888724,0.0073790574,0.0073238807],"study_design_scores_gemma":[0.0039709317,0.000046897636,0.54063946,0.0011107402,0.00005363896,0.000016322272,0.006008457,0.2521715,0.000013692693,0.038037565,0.15699477,0.00093605043],"about_ca_topic_score_codex":0.0071849525,"about_ca_topic_score_gemma":0.0060657435,"teacher_disagreement_score":0.40084967,"about_ca_system_score_codex":0.000107166285,"about_ca_system_score_gemma":0.00010955245,"threshold_uncertainty_score":0.9994263},"labels":[],"label_agreement":null},{"id":"W2056863700","doi":"10.1111/j.1540-5915.2001.tb00975.x","title":"Data Mining for Network Intrusion Detection: A Comparison of Alternative Methods*","year":2001,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Data mining; Computer science; Intrusion detection system; Variety (cybernetics); Representation (politics); External Data Representation; Artificial neural network; Anomaly-based intrusion detection system; Machine learning; Artificial intelligence","score_opus":0.18923693153890875,"score_gpt":0.4477565282127531,"score_spread":0.25851959667384433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056863700","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0597021,0.0005037204,0.9364435,0.00018889704,0.0022462327,0.00020626868,0.0000036053043,0.000060792194,0.00064486446],"genre_scores_gemma":[0.33166456,0.0001245498,0.66779894,0.00009906413,0.00028304392,0.000009506464,0.0000016918378,0.0000037770628,0.0000148891395],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976287,0.00016408031,0.0005600939,0.0007241951,0.0006094176,0.00031351746],"domain_scores_gemma":[0.99637586,0.0021560385,0.00037691797,0.0008095314,0.00019850377,0.000083137355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043128966,0.00013015185,0.0002845573,0.00021258964,0.0006816582,0.0002130218,0.002610967,0.000074622745,0.000030807514],"category_scores_gemma":[0.000756949,0.00010463924,0.000067620254,0.001954539,0.00018684054,0.0012279401,0.0010761211,0.00010669595,0.000007693105],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049639602,0.00003460009,0.00024058204,0.000002742536,0.000005026683,9.804494e-7,0.00034891153,0.0034992646,0.00039095705,0.0028085047,0.0017021825,0.9909166],"study_design_scores_gemma":[0.000239794,0.00039794747,0.00035929296,0.000057125122,0.0000061842775,0.000023957102,0.0001252996,0.8902021,0.005193943,0.032194395,0.07106617,0.0001337718],"about_ca_topic_score_codex":0.000025180127,"about_ca_topic_score_gemma":0.000123647,"teacher_disagreement_score":0.99078286,"about_ca_system_score_codex":0.000020952479,"about_ca_system_score_gemma":0.00005323708,"threshold_uncertainty_score":0.5242833},"labels":[],"label_agreement":null},{"id":"W2077384400","doi":"10.1111/j.1540-5915.2008.00189.x","title":"The Effects of Process and Outcome Similarity on Users' Evaluations of Decision Aids*","year":2008,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Similarity (geometry); Outcome (game theory); Process (computing); Trustworthiness; Psychology; Decision aids; Mediation; Perception; Computer science; Decision quality; Product (mathematics); Social psychology; Information retrieval; Knowledge management; Artificial intelligence; Mathematics; Medicine","score_opus":0.1717066922286332,"score_gpt":0.48004293891806904,"score_spread":0.3083362466894358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077384400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933147,0.00029973357,0.0048015905,0.0003858867,0.0005654322,0.00030507197,0.000007785889,0.000031152198,0.00028863674],"genre_scores_gemma":[0.99494755,0.0001365722,0.0046640104,0.00010857036,0.000009565629,0.000011944237,2.153125e-7,0.0000048081797,0.00011676259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99433273,0.00018061968,0.001117996,0.00060166826,0.003516928,0.00025005286],"domain_scores_gemma":[0.981117,0.016680071,0.0005556137,0.00080201915,0.00074215565,0.00010313641],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006048884,0.00016179039,0.00040090724,0.0006704753,0.0010833014,0.00009213285,0.001695073,0.00014644561,0.000051977244],"category_scores_gemma":[0.032894317,0.00008427417,0.00013104177,0.0024217232,0.0020867938,0.0003825773,0.00024911188,0.00019839362,0.000040276907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010494323,0.00017129985,0.7746997,0.000004691316,0.000005597417,0.000007439678,0.0005968322,0.00017524221,0.00053092866,0.00602389,0.0014489577,0.21623048],"study_design_scores_gemma":[0.00065753795,0.00067946804,0.8963439,0.00006971444,0.000014581155,0.00002613125,0.0008992453,0.00073130924,0.005199862,0.094248004,0.0009989438,0.00013129684],"about_ca_topic_score_codex":0.000008398133,"about_ca_topic_score_gemma":0.000027827587,"teacher_disagreement_score":0.21609917,"about_ca_system_score_codex":0.000014654184,"about_ca_system_score_gemma":0.0001516873,"threshold_uncertainty_score":0.97525203},"labels":[],"label_agreement":null},{"id":"W2085416029","doi":"10.1111/j.1540-5414.2005.00104.x","title":"Retailer's Response to Alternate Manufacturer's Incentives Under a Single‐Period, Price‐Dependent, Stochastic‐Demand Framework*","year":2005,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Newsvendor model; Incentive; Economics; Microeconomics; Liberian dollar; Profit (economics); Multiplicative function; Supply chain; Business; Mathematics; Marketing","score_opus":0.039745788133697474,"score_gpt":0.2924403705647477,"score_spread":0.25269458243105025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085416029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80426556,0.00019609868,0.17054702,0.009158695,0.0014860568,0.00060051365,0.000003938416,0.00018000959,0.013562103],"genre_scores_gemma":[0.98187244,0.0000068198324,0.005440009,0.010522525,0.0009012876,0.00002943509,0.000002513462,0.000024408184,0.0012005629],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965454,0.000044820477,0.0004947931,0.00086587475,0.0014211255,0.00062801206],"domain_scores_gemma":[0.9986538,0.0003626851,0.00024950958,0.0004909396,0.00016627269,0.000076789394],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026061204,0.0003143437,0.0002855273,0.0008811397,0.00064311014,0.001668864,0.0011855972,0.000097407545,0.002242816],"category_scores_gemma":[0.0009941525,0.00024935292,0.00010498947,0.0013133638,0.00024006005,0.0019313595,0.0007818902,0.00018638406,0.0021250627],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008293336,0.0025677527,0.012528402,0.00017338718,0.0003450946,0.00028699517,0.0058360156,0.26708928,0.015718658,0.17738494,0.13215964,0.3776165],"study_design_scores_gemma":[0.0019578282,0.00028522915,0.03333257,0.0006125473,0.00008550534,0.000018436542,0.0054547074,0.024763053,0.0014161759,0.06946207,0.86088276,0.0017291228],"about_ca_topic_score_codex":0.000036314024,"about_ca_topic_score_gemma":0.00005729002,"teacher_disagreement_score":0.7287231,"about_ca_system_score_codex":0.00011832315,"about_ca_system_score_gemma":0.000035980025,"threshold_uncertainty_score":0.9999959},"labels":[],"label_agreement":null},{"id":"W2102563574","doi":"10.1111/j.1540-5915.2010.00302.x","title":"Why Competition from a Multi‐Channel E‐Tailer Does Not Always Benefit Consumers*","year":2011,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Competition (biology); Consumer welfare; Business; Channel (broadcasting); Microeconomics; Welfare; Industrial organization; Economics; Marketing; Commerce; Computer science; Telecommunications; Market economy","score_opus":0.09503416054174423,"score_gpt":0.2815066995335706,"score_spread":0.18647253899182636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102563574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792426,0.00009979492,0.009414068,0.00033864926,0.0015939117,0.00019164343,0.000019422634,0.00013504023,0.00896487],"genre_scores_gemma":[0.9935916,0.000021372725,0.0033976366,0.0027233942,0.00014753654,0.000012812758,0.000010528447,0.000011685659,0.00008343937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982611,0.000010296366,0.00033327073,0.0005247981,0.00056308473,0.00030747888],"domain_scores_gemma":[0.99907565,0.00027579232,0.00018046903,0.0002670407,0.00017331407,0.00002775412],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007628458,0.00018516643,0.0002091347,0.0003676233,0.0005479231,0.00047617004,0.0005643904,0.00006647586,0.0040138145],"category_scores_gemma":[0.00017432879,0.00012757737,0.00009424421,0.000609523,0.0002559954,0.0014229746,0.00028018994,0.000102198515,0.00058304984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033732664,0.00044973491,0.72598517,0.000031857515,0.00004000388,0.00006036619,0.0013033951,0.00002476225,0.0047886963,0.011557139,0.0050945263,0.25032702],"study_design_scores_gemma":[0.0016751315,0.000029672767,0.85844797,0.00028703536,0.00016627605,0.0000038972294,0.0025312235,0.011083704,0.0024086412,0.037403215,0.08493974,0.0010234988],"about_ca_topic_score_codex":0.0073798215,"about_ca_topic_score_gemma":0.0030190034,"teacher_disagreement_score":0.24930352,"about_ca_system_score_codex":0.000012158664,"about_ca_system_score_gemma":0.000015533073,"threshold_uncertainty_score":0.99923015},"labels":[],"label_agreement":null},{"id":"W2115178177","doi":"10.1111/j.1540-5915.2006.00122.x","title":"Paradoxes of Online Investing: Testing the Influence of Technology on User Expectancies*","year":2006,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Conviction; Perception; Behavioral economics; Incentive; Cognition; Emerging technologies; Business; Psychology; Economics; Computer science; Microeconomics; Political science","score_opus":0.1594327768316297,"score_gpt":0.40089562134054524,"score_spread":0.24146284450891553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115178177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591863,0.00015830137,0.00079172244,0.0019346591,0.00015306342,0.00015276058,0.000014930322,0.00009441438,0.00078151183],"genre_scores_gemma":[0.97447586,0.000004570281,0.025204852,0.00016397607,0.00001996412,0.00000727966,3.8071855e-7,0.0000058251385,0.00011730213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954965,0.000090438625,0.0012980468,0.00062816375,0.0021653227,0.0003215141],"domain_scores_gemma":[0.9920206,0.0049934285,0.0009219105,0.0010022722,0.0010165491,0.00004525637],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0034300166,0.00017845769,0.00039837474,0.0013077628,0.00039125132,0.000082790866,0.002953292,0.00017799903,0.00004442234],"category_scores_gemma":[0.02262389,0.00009616812,0.00008866099,0.008959584,0.0029576705,0.00029960016,0.00037008364,0.00025842743,0.00004737414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023375625,0.00023250273,0.8698665,0.0000014865942,0.0000027111944,0.0000064058268,0.000117841664,0.009419475,0.02624486,0.050341725,0.0016018142,0.042141333],"study_design_scores_gemma":[0.00021138463,0.0002821639,0.8327589,0.00008220593,0.000006054481,0.00002383125,0.0016582694,0.00051063055,0.009269133,0.1532298,0.0018362876,0.00013133096],"about_ca_topic_score_codex":0.00008420071,"about_ca_topic_score_gemma":0.000086298365,"teacher_disagreement_score":0.10288807,"about_ca_system_score_codex":0.000015475993,"about_ca_system_score_gemma":0.00018881379,"threshold_uncertainty_score":0.9997557},"labels":[],"label_agreement":null},{"id":"W2120013688","doi":"10.1111/j.1540-5414.2006.00138.x","title":"Supplier‐Switching Inertia and Competitive Asymmetry: A Demand‐Side Perspective*","year":2006,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Purchasing; Supplier relationship management; Industrial organization; Business; Perspective (graphical); Selection (genetic algorithm); Inertia; Marketing; Industrial marketing; Supply chain management; Supply chain; Computer science","score_opus":0.011111271906818524,"score_gpt":0.2542100008311687,"score_spread":0.24309872892435017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120013688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7261087,0.00062675664,0.034956526,0.0043675797,0.00045304807,0.0005222733,0.0000017111424,0.00019701161,0.23276642],"genre_scores_gemma":[0.9940152,0.000008496201,0.00387557,0.001307051,0.0005123704,0.000014949509,0.0000029292928,0.000013973372,0.00024942262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979211,0.000014220097,0.0002890439,0.0006238264,0.0007212594,0.00043054103],"domain_scores_gemma":[0.9990782,0.00030976205,0.0001605167,0.00020246729,0.00023089354,0.00001816944],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014893976,0.00020168858,0.00021848975,0.00080055377,0.00068648154,0.0011788491,0.0004400686,0.00004292462,0.00014061961],"category_scores_gemma":[0.00043802074,0.00016135926,0.00005528165,0.0015135481,0.00024955394,0.0014614126,0.0005507108,0.000107045926,0.0001310843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026597894,0.000055817563,0.036640223,0.000022472836,0.000008475122,0.000041831445,0.000087082386,0.0005336653,0.00014759932,0.94778657,0.005299647,0.009349988],"study_design_scores_gemma":[0.0011375962,0.00004003382,0.16686459,0.0001003041,0.000051725332,0.000009645529,0.02784125,0.019127725,0.000093938215,0.6429362,0.14116094,0.00063603075],"about_ca_topic_score_codex":0.002563807,"about_ca_topic_score_gemma":0.0004201118,"teacher_disagreement_score":0.30485037,"about_ca_system_score_codex":0.00007551166,"about_ca_system_score_gemma":0.000027445933,"threshold_uncertainty_score":0.999858},"labels":[],"label_agreement":null},{"id":"W2124306282","doi":"10.1111/deci.12116","title":"Online Intermediary as a Channel for Selling Quality‐Differentiated Services","year":2015,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Competition (biology); Business; Service provider; Channel (broadcasting); Service (business); Quality (philosophy); Consumption (sociology); Intermediary; Industrial organization; Marketing; Advertising; Microeconomics; Commerce; Telecommunications; Economics; Computer science","score_opus":0.14553241337099035,"score_gpt":0.37870994566550015,"score_spread":0.2331775322945098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124306282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908412,0.00017544307,0.0051500364,0.0004295392,0.0012485387,0.00020418459,0.000006056167,0.000101289246,0.0018437088],"genre_scores_gemma":[0.9970076,0.000009971174,0.0010949179,0.0012876362,0.00043227134,0.000012705355,0.000033592012,0.000010565161,0.00011073648],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984154,0.000012773215,0.0003550603,0.00038295024,0.0005554623,0.00027834406],"domain_scores_gemma":[0.9989386,0.00035975428,0.00019267935,0.00017488479,0.00029969407,0.00003437748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020023887,0.00014274809,0.00020245611,0.00036700137,0.00027472546,0.00059878576,0.0005665915,0.000049836497,0.00009694097],"category_scores_gemma":[0.00039896878,0.000108368025,0.00007899377,0.0007383115,0.00009348753,0.0010708553,0.00023940977,0.000069869224,0.0001293615],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083998055,0.0008661268,0.16572227,0.0004000724,0.000049535327,0.000024809731,0.0022172453,0.0003274254,0.0020604723,0.006237389,0.0067575993,0.81449705],"study_design_scores_gemma":[0.0068533104,0.00025542633,0.24158631,0.001427059,0.00035714553,0.000022201766,0.028048325,0.2715252,0.00069695397,0.2551898,0.19157988,0.0024583477],"about_ca_topic_score_codex":0.00049860484,"about_ca_topic_score_gemma":0.00043078043,"teacher_disagreement_score":0.8120387,"about_ca_system_score_codex":0.000010047167,"about_ca_system_score_gemma":0.00003936104,"threshold_uncertainty_score":0.57741046},"labels":[],"label_agreement":null},{"id":"W2127894038","doi":"10.1111/deci.12121","title":"Competitive Goals and Plant Investment in Environment and Safety Practices: Moderating Effect of National Culture","year":2015,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Investment (military); Collectivism; Globe; Uncertainty avoidance; Business; Competitive advantage; Marketing; Organizational culture; Consistency (knowledge bases); Hofstede's cultural dimensions theory; Safety culture; Investment decisions; Public economics; Economics; Industrial organization; Environmental resource management; Finance; Management; Social psychology; Market economy; Psychology; Political science","score_opus":0.2071588102051099,"score_gpt":0.528800998013164,"score_spread":0.32164218780805415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127894038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97297484,0.00076566526,0.00020311328,0.0011500263,0.000117383875,0.00092936435,0.00009015329,0.000005453871,0.023764031],"genre_scores_gemma":[0.9944474,0.00041297337,0.0045361333,0.00042716198,0.000041221956,0.000057518926,0.000013175349,0.000002516342,0.00006188055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767834,0.0005550681,0.00037821633,0.00023588991,0.0009539997,0.00019847251],"domain_scores_gemma":[0.99384207,0.0055792443,0.00025249855,0.000056456127,0.00009361115,0.00017611287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067207078,0.00007010519,0.00017419511,0.000115677445,0.00041066844,0.000012684122,0.00008655905,0.00006419525,0.00003088072],"category_scores_gemma":[0.003296964,0.000044050674,0.000009072437,0.00016407664,0.0002076188,0.00022435948,0.00013010626,0.00020021271,0.000012678573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015428303,0.00008052023,0.91419834,0.00017711706,0.0000069255066,0.000004932547,0.008623836,0.0006658681,0.00016308365,0.06194078,0.0013994782,0.0111962855],"study_design_scores_gemma":[0.0060316026,0.0026179487,0.87941396,0.0011032033,0.0000070354317,0.000011809849,0.011756468,0.03510296,0.00015065291,0.0243803,0.03914323,0.00028082688],"about_ca_topic_score_codex":0.00010837095,"about_ca_topic_score_gemma":0.00010901213,"teacher_disagreement_score":0.03774375,"about_ca_system_score_codex":0.00010250617,"about_ca_system_score_gemma":0.0004175575,"threshold_uncertainty_score":0.3947012},"labels":[],"label_agreement":null},{"id":"W2128959702","doi":"10.1111/deci.12057","title":"The Importance of Social Embeddedness: Churn Models at Mobile Providers","year":2014,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Korea Advanced Institute of Science and Technology; Technische Universität Berlin; York University","keywords":"Embeddedness; Snowball sampling; Vendor; Social network (sociolinguistics); Computer science; Sampling (signal processing); Nonprobability sampling; Sample (material); Node (physics); Marketing; Business; Social media; Telecommunications","score_opus":0.04475123478257822,"score_gpt":0.3091663634987999,"score_spread":0.2644151287162217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128959702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756832,0.000117319374,0.0010312559,0.0011835856,0.00038410243,0.0001671071,0.0000010469821,0.00003739406,0.02139497],"genre_scores_gemma":[0.997866,0.0000063373304,0.00016062983,0.001448031,0.0002638269,0.000017911443,0.0000013690126,0.00000550534,0.00023038819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840826,0.000015620273,0.00034353926,0.00027451135,0.0007215086,0.00023659173],"domain_scores_gemma":[0.9989787,0.00032454397,0.00031181617,0.00022059515,0.00015407839,0.000010262539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025095695,0.00009730318,0.00015522362,0.00008996333,0.0010891913,0.00031908244,0.0007044107,0.00004135466,0.00012764112],"category_scores_gemma":[0.0001769656,0.00005875722,0.00008030733,0.0007184268,0.00038197535,0.0011281498,0.0002789389,0.000056153684,0.000113844624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002476202,0.00020760232,0.041749835,0.0002017426,0.000024757173,0.0000023058735,0.0028290935,0.006307935,0.00038574214,0.61114156,0.057145882,0.27975592],"study_design_scores_gemma":[0.00071974454,0.000048736223,0.026857022,0.000057497284,0.0000329631,0.0000016256348,0.007801026,0.17374396,0.00013557274,0.3112924,0.4788465,0.00046296578],"about_ca_topic_score_codex":0.00011727178,"about_ca_topic_score_gemma":0.0007662809,"teacher_disagreement_score":0.4217006,"about_ca_system_score_codex":0.000012639786,"about_ca_system_score_gemma":0.000025115669,"threshold_uncertainty_score":0.83772886},"labels":[],"label_agreement":null},{"id":"W2129771682","doi":"10.1111/j.1540-5915.2009.00243.x","title":"Shared Services Transformation: Conceptualization and Valuation from the Perspective of Real Options","year":2009,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Outsourcing; Business; Conceptualization; Valuation (finance); Consolidation (business); Standardization; Business transformation; Process management; Business model; Knowledge management; Industrial organization; Computer science; Marketing; Accounting; Business relationship management; Electronic business","score_opus":0.07442123370507425,"score_gpt":0.30734200011401136,"score_spread":0.2329207664089371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129771682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704106,0.014346991,0.005402332,0.002490892,0.000090421076,0.00013426297,0.00010276445,0.0000115459,0.007010214],"genre_scores_gemma":[0.9948114,0.0036993206,0.0012570276,0.00016883679,0.00002510555,0.0000017969089,0.00001704085,0.0000010553529,0.000018418987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940526,0.000010732581,0.0002773681,0.00016937696,0.000082988816,0.00005429789],"domain_scores_gemma":[0.9995558,0.00011171919,0.00016211293,0.00009042163,0.00006034128,0.000019590443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048118824,0.000045846846,0.000113325994,0.00009783053,0.00020545608,0.00010676312,0.00014229248,0.00002587006,0.0001342078],"category_scores_gemma":[0.000036849382,0.000032434054,0.000042410524,0.00042497783,0.00012210775,0.00051205256,0.0000092449345,0.000021527889,0.000021972399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037007253,0.00001221368,0.0026085482,3.7229867e-7,0.0000051994707,2.7913211e-8,0.0068049114,0.0002339026,0.000025849376,0.9892757,0.00004258594,0.0009870084],"study_design_scores_gemma":[0.00014377154,0.000050013372,0.18026888,0.000009038448,0.0000076168008,1.8500049e-7,0.00592978,0.038598914,0.00004187541,0.77470857,0.00019322746,0.000048148708],"about_ca_topic_score_codex":0.00072586635,"about_ca_topic_score_gemma":0.00012452742,"teacher_disagreement_score":0.21456714,"about_ca_system_score_codex":0.000016474813,"about_ca_system_score_gemma":0.000008515684,"threshold_uncertainty_score":0.15802228},"labels":[],"label_agreement":null},{"id":"W2132730351","doi":"10.1111/j.1540-5414.2006.00130.x","title":"Endogenous Adaptation: The Effects of Technology Position and Planning Mode on IT‐Enabled Change*","year":2006,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Leverage (statistics); Business process reengineering; Position (finance); Process management; Adaptation (eye); Computer science; Mode (computer interface); Process (computing); Business; Technology management; Knowledge management; Industrial organization; Marketing; Lean manufacturing","score_opus":0.037784979000608294,"score_gpt":0.2641338926124646,"score_spread":0.22634891361185633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132730351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98178786,0.00025802178,0.0022535126,0.0015223387,0.00020213125,0.0001948095,7.1576164e-7,0.00005664282,0.013723993],"genre_scores_gemma":[0.99875236,0.00001670724,0.00029911764,0.00079037674,0.00010526272,0.000019614627,0.0000016502993,0.0000021220817,0.000012811592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993368,0.0000024295794,0.00016781592,0.00012047456,0.00024781175,0.00012466458],"domain_scores_gemma":[0.9995121,0.00011499373,0.00019346637,0.000099396275,0.00007790934,0.0000021448975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002296218,0.00006663403,0.00008700844,0.0003244763,0.00034279522,0.000092708106,0.00020488279,0.000059222573,0.0000059473055],"category_scores_gemma":[0.00013294356,0.00004166012,0.000017063508,0.00069139054,0.00018825257,0.0006916519,0.000049938608,0.00005775304,0.00002140661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008013636,0.00008204294,0.008640768,0.000092510396,0.000009568304,0.000028775508,0.0005494436,0.0029500928,0.004956995,0.7576355,0.0042236247,0.22075057],"study_design_scores_gemma":[0.0029357842,0.0006845445,0.080952324,0.0011737942,0.000083196486,0.0000908783,0.011647728,0.14705552,0.037594553,0.690928,0.026006265,0.00084746344],"about_ca_topic_score_codex":0.00015214505,"about_ca_topic_score_gemma":0.000019024154,"teacher_disagreement_score":0.21990311,"about_ca_system_score_codex":0.0000063038096,"about_ca_system_score_gemma":0.000009305168,"threshold_uncertainty_score":0.26365384},"labels":[],"label_agreement":null},{"id":"W2136488086","doi":"10.1111/j.1540-5915.2004.02465.x","title":"A Comparison of Arbitration Procedures for Risk‐Averse Disputants*","year":2004,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Arbitration; Computer science; Value (mathematics); Microeconomics; Economics; Risk analysis (engineering); Business; Law; Political science","score_opus":0.08261345288899215,"score_gpt":0.32583263021620923,"score_spread":0.2432191773272171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136488086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8972702,0.0005996368,0.08870337,0.00013063714,0.00080678205,0.00036001726,0.00014337637,0.00001777479,0.011968216],"genre_scores_gemma":[0.993883,0.00008521753,0.005818949,0.00006612071,0.000101017904,0.000018324645,0.0000025709737,0.000006423339,0.000018375964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985188,0.000005224598,0.0008419177,0.00037424767,0.000065930195,0.0001938299],"domain_scores_gemma":[0.9988456,0.00016880767,0.00072305155,0.0001625704,0.000042898417,0.00005711461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012383077,0.0000785694,0.00039337858,0.00019321791,0.00025992547,0.00009371977,0.00030370196,0.00006618582,0.000041282936],"category_scores_gemma":[0.00071418815,0.00008709655,0.000114611765,0.00027633013,0.00026178674,0.00032974058,0.000027007745,0.000043647964,0.00011376369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004918963,0.00015118194,0.19867636,0.000022204957,0.000015025753,1.9247106e-7,0.0013801075,0.0046846233,0.000055956276,0.7917119,0.0005859905,0.0026672403],"study_design_scores_gemma":[0.0008947365,0.00033388092,0.028962826,0.000050389186,0.0000053068807,0.0000013859693,0.0007178246,0.0061760684,0.0011020459,0.956429,0.0051133335,0.000213192],"about_ca_topic_score_codex":0.00037822523,"about_ca_topic_score_gemma":0.00047944023,"teacher_disagreement_score":0.16971353,"about_ca_system_score_codex":0.000052955915,"about_ca_system_score_gemma":0.00007056837,"threshold_uncertainty_score":0.35516942},"labels":[],"label_agreement":null},{"id":"W2138714646","doi":"10.1111/j.1540-5915.2008.00209.x","title":"Information Technology and Process Performance: An Empirical Investigation of the Interaction Between IT and Non‐IT Resources*","year":2008,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Premise; Knowledge management; Scope (computer science); Process (computing); Resource (disambiguation); Perspective (graphical); Business; Service (business); Business process; Computer science; Tacit knowledge; Information technology; Work (physics); Resource-based view; Marketing; Competitive advantage; Work in process","score_opus":0.03953373451381013,"score_gpt":0.30080854006581703,"score_spread":0.2612748055520069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138714646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500006,0.0000062166628,0.00036642433,0.002054414,0.000065250264,0.000107130334,7.425368e-7,0.000030119163,0.0023696197],"genre_scores_gemma":[0.9989293,0.000020111069,0.00019961227,0.0007943794,0.00003918149,0.00000538125,0.000002077863,0.0000015167001,0.000008426244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918514,0.0000032032706,0.00030516338,0.000096176605,0.00030869618,0.000101628444],"domain_scores_gemma":[0.99936473,0.00003338396,0.0003340995,0.000110625544,0.00014978887,0.000007364863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000420978,0.00007080094,0.00009900648,0.0004724228,0.0004984797,0.00010483165,0.00025347542,0.000094494186,0.000008106505],"category_scores_gemma":[0.00016629482,0.00004555144,0.000011440533,0.0012078852,0.0006228434,0.005375669,0.00010700536,0.000111339345,0.000012917786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010457914,0.0000036723056,0.967172,0.000025649912,0.0000015434007,8.57426e-8,0.0011597433,0.000049402042,0.000031131793,0.0005818742,0.0006379682,0.03032642],"study_design_scores_gemma":[0.0002770988,0.00006252431,0.9633929,0.000085979445,0.000008072677,0.000015948366,0.0066173123,0.013136403,0.0011938427,0.0072948877,0.0078025106,0.00011253105],"about_ca_topic_score_codex":0.000018423903,"about_ca_topic_score_gemma":0.00000838751,"teacher_disagreement_score":0.03021389,"about_ca_system_score_codex":0.000006957239,"about_ca_system_score_gemma":0.000030000487,"threshold_uncertainty_score":0.38972303},"labels":[],"label_agreement":null},{"id":"W2148517689","doi":"10.1111/deci.12162","title":"Sensing Abnormal Resource Flow Using Adaptive Limit Process Charts in a Complex Supply Network*","year":2015,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Process (computing); Upstream (networking); Resource (disambiguation); Supply chain; Supply network; Complex network; Process management; Operations research; Operations management; Business; Marketing; Economics; Telecommunications","score_opus":0.4374820701613899,"score_gpt":0.4791054587081982,"score_spread":0.041623388546808304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148517689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3852877,0.0002896428,0.6089853,0.00026853362,0.0006997871,0.00031157545,0.000016673916,0.00007306637,0.004067727],"genre_scores_gemma":[0.7495134,0.0000023589412,0.24993132,0.00019905575,0.00028544286,0.0000032207176,0.0000013618268,0.000015128288,0.000048714977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9909376,0.00031688882,0.001326785,0.001351455,0.0050327573,0.0010345274],"domain_scores_gemma":[0.9925545,0.004990023,0.0004643116,0.0005393079,0.00092165166,0.0005301985],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00967423,0.0003250612,0.000629958,0.0006702989,0.00071209593,0.0008022583,0.0016023798,0.00012052007,0.00008167295],"category_scores_gemma":[0.013575409,0.00024329175,0.00008322152,0.0051363236,0.00086889777,0.0017554838,0.00051918713,0.00036041977,0.00015413952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002801619,0.00004857838,0.016118072,0.0000027522271,0.0000034312382,0.00014347227,0.002138328,0.6967568,0.00006286627,0.00081923086,0.0025997097,0.2810266],"study_design_scores_gemma":[0.00053329155,0.00016576768,0.006451711,0.00012815048,0.000004800966,0.00006815514,0.00562739,0.80275756,0.000094051036,0.18051565,0.0032989378,0.0003545043],"about_ca_topic_score_codex":0.000049667437,"about_ca_topic_score_gemma":0.00011259225,"teacher_disagreement_score":0.3642257,"about_ca_system_score_codex":0.00016902955,"about_ca_system_score_gemma":0.00043486475,"threshold_uncertainty_score":0.9947337},"labels":[],"label_agreement":null},{"id":"W2148936317","doi":"10.1111/j.1540-5414.2006.00110.x","title":"The Impact of Manufacturers' Wholesale Prices on a Retailer's Shelf‐Space and Pricing Decisions*","year":2006,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Stackelberg competition; Microeconomics; Space (punctuation); Business; Markup language; Channel (broadcasting); Price elasticity of demand; Economics; Industrial organization; Computer science; Telecommunications","score_opus":0.02523544778128446,"score_gpt":0.29438393536569424,"score_spread":0.2691484875844098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148936317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814864,0.0005005222,0.0005653866,0.00027722507,0.00019377629,0.00016854383,0.0000014512898,0.000032097556,0.016774591],"genre_scores_gemma":[0.999121,0.00005212095,0.00053221174,0.00006668152,0.00011426329,0.0000038767575,9.907658e-7,0.000007957606,0.00010091501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983416,0.000013497308,0.00033562884,0.00035575472,0.00066555524,0.00028791826],"domain_scores_gemma":[0.9976361,0.0016787365,0.00027332603,0.00028193602,0.0001134269,0.000016504999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016869634,0.0001673149,0.00019500859,0.000354537,0.0008735973,0.000805233,0.00048483594,0.00004629796,0.00007458182],"category_scores_gemma":[0.0005005448,0.00008831141,0.00011011007,0.0009298215,0.00031226472,0.0006931719,0.00022496303,0.00010918716,0.00003257736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002300502,0.000109168854,0.5708021,0.000014049148,0.000015806236,0.000011048132,0.00009456461,0.0010981838,0.0017507235,0.010223824,0.011395068,0.40425545],"study_design_scores_gemma":[0.0002806742,0.00004114108,0.9746575,0.00011893148,0.000022741875,0.0000040214754,0.00026186154,0.0021353886,0.00021548574,0.011010313,0.01107764,0.00017431495],"about_ca_topic_score_codex":0.0011666786,"about_ca_topic_score_gemma":0.000138815,"teacher_disagreement_score":0.40408114,"about_ca_system_score_codex":0.000016308386,"about_ca_system_score_gemma":0.00003455694,"threshold_uncertainty_score":0.77648807},"labels":[],"label_agreement":null},{"id":"W2153849584","doi":"10.1111/j.1540-5915.2008.00202.x","title":"Global Multisourcing Strategy: The Emergence of a Supplier Portfolio in Services Offshoring","year":2008,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Offshoring; Business; Outsourcing; Strategic sourcing; Industrial organization; Context (archaeology); Portfolio; Supply chain; Offshore outsourcing; Marketing; Process management; Strategic planning; Finance; Strategic financial management","score_opus":0.03365562793827936,"score_gpt":0.2755181379529744,"score_spread":0.24186251001469505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153849584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750913,0.00016671048,0.0021731413,0.00033018133,0.0003015423,0.00016157204,0.000001332373,0.000032924727,0.021741316],"genre_scores_gemma":[0.99883926,0.00003385526,0.00057231524,0.00032797465,0.0001480426,0.0000068736063,0.0000012605998,0.000004910852,0.00006553305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981807,0.000010088056,0.00040896624,0.00034376356,0.00075122993,0.00030528673],"domain_scores_gemma":[0.9993777,0.00009558459,0.00019165518,0.00024911424,0.00007407993,0.000011845593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207314,0.0001338529,0.00018351618,0.00025453264,0.0004094499,0.00015415053,0.0007978888,0.000032671003,0.00024740468],"category_scores_gemma":[0.00006741421,0.00008652423,0.00006720679,0.0019509748,0.00021044836,0.00070609886,0.00031230794,0.0000653807,0.00005186778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020186117,0.000055602777,0.9275938,0.00003522174,0.0000055660066,0.000026462192,0.0003031184,0.046448104,0.000046458903,0.0047274027,0.0018401325,0.018897923],"study_design_scores_gemma":[0.0005684898,0.000024613608,0.8307016,0.00018665382,0.0000178531,0.000009417534,0.012283709,0.13413228,0.000042208332,0.008406079,0.013291469,0.0003356498],"about_ca_topic_score_codex":0.0023521904,"about_ca_topic_score_gemma":0.000824491,"teacher_disagreement_score":0.09689225,"about_ca_system_score_codex":0.000011642318,"about_ca_system_score_gemma":0.000023686993,"threshold_uncertainty_score":0.35558242},"labels":[],"label_agreement":null},{"id":"W2162560675","doi":"10.1111/deci.12189","title":"Bargaining within the Supply Chain and Its Implications in an Industry","year":2015,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Stackelberg competition; Profitability index; Bargaining power; Supply chain; Microeconomics; Bargaining problem; Profit (economics); Monopolistic competition; Industrial organization; Economics; Nash equilibrium; Business; Monopoly; Marketing","score_opus":0.14132017509187692,"score_gpt":0.3338809814767191,"score_spread":0.19256080638484216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162560675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97791505,0.00012221515,0.00013540409,0.0035402183,0.0002502645,0.00019012945,6.7134977e-7,0.000032989818,0.01781306],"genre_scores_gemma":[0.99624753,0.00000313227,0.00024069136,0.0031710754,0.00020372406,0.000022034395,0.0000020528842,0.00000511914,0.000104618906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989287,0.000016786105,0.0002163692,0.00028951355,0.0003669564,0.00018163068],"domain_scores_gemma":[0.9995293,0.00008177668,0.00009805252,0.00018576434,0.000077874225,0.000027257907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027444141,0.0000886042,0.00008709231,0.00028721945,0.00029213098,0.00058275537,0.0005091121,0.000050735387,0.00005966215],"category_scores_gemma":[0.00040998007,0.000056525354,0.000013764463,0.001011267,0.000128791,0.0014442629,0.00026637412,0.00013456983,0.00006543502],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001746284,0.00007134037,0.3704616,0.00000491664,0.0000031327686,0.000005029752,0.0009188578,0.0022010223,0.00007897399,0.5932318,0.0063864333,0.026619414],"study_design_scores_gemma":[0.0011384842,0.00007888961,0.47471848,0.000109399225,0.000016197346,0.0000060918046,0.026521066,0.21184082,0.000043808337,0.22090317,0.06412669,0.00049690355],"about_ca_topic_score_codex":0.0001012295,"about_ca_topic_score_gemma":0.00021914647,"teacher_disagreement_score":0.3723286,"about_ca_system_score_codex":0.000016057405,"about_ca_system_score_gemma":0.000033667136,"threshold_uncertainty_score":0.56195235},"labels":[],"label_agreement":null},{"id":"W2171780916","doi":"10.1111/deci.12117","title":"Does a Supplier's Operational Competence Translate into Financial Performance? An Empirical Analysis of Supplier–Customer Relationships","year":2015,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Supplier relationship management; Business; Competence (human resources); Structural equation modeling; Empirical research; Customer retention; Customer intelligence; Customer to customer; Industrial organization; Customer equity; Marketing; Process management; Service quality; Computer science; Supply chain management; Supply chain; Economics; Service (business)","score_opus":0.09254340976801727,"score_gpt":0.3453709899127823,"score_spread":0.25282758014476503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171780916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802991,0.000017122418,0.013615529,0.0018883052,0.0003577029,0.0001683484,0.0000095745845,0.000037345133,0.0036069374],"genre_scores_gemma":[0.9921047,0.0000058313353,0.006693374,0.0008636058,0.00017606914,0.0000149025545,0.000061299506,0.0000052803944,0.00007490286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997515,0.000041687865,0.0005693378,0.00046093864,0.001165496,0.000247509],"domain_scores_gemma":[0.99903065,0.0001942961,0.00016364848,0.0002765763,0.000287615,0.000047197707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034984876,0.00015291365,0.00032090506,0.0010365191,0.00059569604,0.00038083197,0.0006479413,0.00007158771,0.0005671814],"category_scores_gemma":[0.00030331867,0.00009469099,0.00011425964,0.0032802923,0.00039551946,0.0024327552,0.0001443713,0.00013303736,0.00017694484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001983924,0.00032387272,0.8538084,0.00004083377,0.0000821711,0.0000051763136,0.0023549118,0.050800405,0.000051957526,0.06223007,0.00524179,0.024862012],"study_design_scores_gemma":[0.00066202943,0.000071640075,0.5441706,0.000026050093,0.00029759982,5.777008e-7,0.0020536236,0.34002095,0.00004367979,0.027252529,0.08500414,0.00039654344],"about_ca_topic_score_codex":0.0002431661,"about_ca_topic_score_gemma":0.0012705246,"teacher_disagreement_score":0.30963778,"about_ca_system_score_codex":0.000024958978,"about_ca_system_score_gemma":0.00011686239,"threshold_uncertainty_score":0.62102383},"labels":[],"label_agreement":null},{"id":"W2294538555","doi":"10.1111/deci.12193","title":"Modeling Sequential Information Acquisition Behavior in Rational Decision Making","year":2016,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Decision maker; Process (computing); Set (abstract data type); Quality (philosophy); Construct (python library); Decision support system; Information system; Decision process; Knowledge acquisition; Data mining; Operations research; Artificial intelligence; Management science; Mathematics","score_opus":0.050423231115098416,"score_gpt":0.3214911233346291,"score_spread":0.27106789221953065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294538555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81549263,0.000018837445,0.18183477,0.0001322353,0.0005657159,0.00014690218,0.0000020194957,0.000042590793,0.0017643132],"genre_scores_gemma":[0.995935,0.0000072254406,0.0034770106,0.00038403936,0.00016032145,0.000020877347,0.0000047070907,0.0000048352395,0.0000059487825],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982526,0.000009834268,0.000476054,0.00025082982,0.00077468145,0.00023603904],"domain_scores_gemma":[0.99931514,0.00023695106,0.00012621279,0.00014058873,0.00017024374,0.00001086831],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015074178,0.00011818355,0.000119055854,0.0008668582,0.0003230852,0.0006297544,0.0003112475,0.000058216163,0.0009146748],"category_scores_gemma":[0.0003351802,0.000080392914,0.000058006357,0.00082611514,0.000065754095,0.006644035,0.00018971355,0.00005760145,0.00032603616],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097070784,0.000025771049,0.09540638,0.000004007088,7.889636e-7,0.000004582894,0.000027922264,0.0014057944,0.00085814635,0.0028167253,0.0001631391,0.89918965],"study_design_scores_gemma":[0.0023133813,0.000034552962,0.62152445,0.0010278715,0.000056628756,0.000019048732,0.00042942545,0.3221725,0.000116027935,0.04586522,0.005615442,0.0008254621],"about_ca_topic_score_codex":0.00009373146,"about_ca_topic_score_gemma":0.00013150435,"teacher_disagreement_score":0.8983642,"about_ca_system_score_codex":0.00004464983,"about_ca_system_score_gemma":0.00004232525,"threshold_uncertainty_score":0.9999986},"labels":[],"label_agreement":null},{"id":"W2770236839","doi":"10.1111/deci.12298","title":"Optimal Outsourcing Strategies When Capacity Is Limited","year":2017,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Competition (biology); Outsourcing; Industrial organization; Business; Product (mathematics); Competitor analysis; Production (economics); Component (thermodynamics); Microeconomics; Product market; Economics; Marketing","score_opus":0.11354660740327148,"score_gpt":0.30672171155497224,"score_spread":0.19317510415170075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770236839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8373527,0.00003384292,0.0071626487,0.002615889,0.0010653544,0.0001432016,0.0000013747411,0.000088618806,0.15153636],"genre_scores_gemma":[0.9926349,0.0000063116822,0.003908863,0.0023330112,0.0005534982,0.0000067219285,0.0000011657072,0.000008361572,0.0005471474],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826133,0.000005434706,0.0002433623,0.0004388211,0.00072586397,0.00032517087],"domain_scores_gemma":[0.9989784,0.000058370177,0.00028345268,0.0005485564,0.00011159031,0.0000196798],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011839595,0.00015485729,0.00016434536,0.0002863663,0.0018706608,0.0052427505,0.001378671,0.000044445445,0.0011909682],"category_scores_gemma":[0.00033972398,0.00011881004,0.00008676999,0.00018736,0.0004350582,0.0041731778,0.00059647637,0.00008358283,0.00072286016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011715636,0.000301177,0.18588798,0.0001360638,0.00006140909,0.00006624029,0.0025308186,0.00548055,0.0008240088,0.29390883,0.33188343,0.17880236],"study_design_scores_gemma":[0.00080385566,0.000043022785,0.1647333,0.0001660544,0.000038701215,0.0000019883564,0.007108895,0.091195956,0.00021580727,0.08497764,0.6500592,0.0006555464],"about_ca_topic_score_codex":0.00063153985,"about_ca_topic_score_gemma":0.00008463721,"teacher_disagreement_score":0.31817582,"about_ca_system_score_codex":0.000016189877,"about_ca_system_score_gemma":0.000017806038,"threshold_uncertainty_score":0.99972206},"labels":[],"label_agreement":null},{"id":"W2884941516","doi":"10.1111/deci.12318","title":"Advance Selling in the Presence of Market Power and Risk‐Averse Consumers","year":2018,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Risk aversion (psychology); Business; Market power; Spot market; Promotion (chess); Microeconomics; Spot contract; Sales promotion; Loss aversion; Economics; Marketing; Commerce; Expected utility hypothesis; Financial economics; Finance; Sales management","score_opus":0.02569233959210653,"score_gpt":0.27755318274766655,"score_spread":0.25186084315556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884941516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9410679,0.00015756994,0.0011528056,0.00021926344,0.00037013015,0.00015841093,8.1245304e-7,0.000010066308,0.05686306],"genre_scores_gemma":[0.99818796,0.0001232262,0.00094949006,0.00058734114,0.00005746102,0.0000035524165,1.6908301e-7,0.0000024758817,0.000088332235],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989807,0.000020313608,0.0001859611,0.00023030839,0.00042875553,0.00015395248],"domain_scores_gemma":[0.9992775,0.00034246116,0.00013965978,0.00017036818,0.00006382808,0.0000061995047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024324853,0.00007041776,0.00008708825,0.00020485806,0.00021137972,0.00016022021,0.0004314416,0.00001643997,0.00046749847],"category_scores_gemma":[0.00050042866,0.0000438259,0.000021816817,0.000745319,0.0006016432,0.00072484097,0.00014459774,0.000047870402,0.000047729307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001349819,0.000110644985,0.84476864,0.00004149508,0.000011740556,0.000011269385,0.0014525473,0.00015621883,0.00008602319,0.029110575,0.041538443,0.08257739],"study_design_scores_gemma":[0.0007305125,0.0000756316,0.28104517,0.00019047194,0.000023211634,0.0000018975383,0.01395502,0.050351918,0.000084535015,0.028219793,0.6250374,0.00028446334],"about_ca_topic_score_codex":0.00017134871,"about_ca_topic_score_gemma":0.00013313077,"teacher_disagreement_score":0.58349895,"about_ca_system_score_codex":0.000003943206,"about_ca_system_score_gemma":0.000007213295,"threshold_uncertainty_score":0.511878},"labels":[],"label_agreement":null},{"id":"W2897832201","doi":"10.1111/deci.12341","title":"Joint Fundraising Appeals: Allocation Rules and Conditions That Encourage Aid Agencies' Collaboration","year":2018,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Negotiation; Competition (biology); Joint (building); Business; Context (archaeology); Work (physics); Economics; Marketing; Political science","score_opus":0.14422429957507568,"score_gpt":0.4242907402585379,"score_spread":0.2800664406834622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897832201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96722513,0.00040071193,0.0010155236,0.0012677248,0.00069956796,0.00024503563,0.000014310896,0.000092073395,0.029039932],"genre_scores_gemma":[0.99313676,0.00027359868,0.0060568815,0.00019007572,0.00014894256,0.000019033312,0.0000031549814,0.000006588603,0.00016497547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9985179,0.000086103864,0.00025135337,0.00037621698,0.00050009094,0.00026838944],"domain_scores_gemma":[0.999186,0.00023060224,0.00015394954,0.00013072231,0.0001877641,0.00011097615],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015484316,0.00010470938,0.00014655605,0.00016986033,0.0025889445,0.00059768977,0.00023410238,0.00006099499,0.00015925002],"category_scores_gemma":[0.00029619774,0.00009484183,0.000030784326,0.00048915454,0.00249817,0.0011473874,0.00011453299,0.000046529938,0.00012278513],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057213183,0.0002508439,0.039864272,0.000011616296,0.00003690338,0.000011343081,0.2754031,0.000048431568,0.056683134,0.5106486,0.022168778,0.09481577],"study_design_scores_gemma":[0.00091547106,0.00076556514,0.047116317,0.00023998154,0.000048696955,0.00001914882,0.6976622,0.0013606083,0.039183136,0.13687974,0.07466174,0.0011474466],"about_ca_topic_score_codex":0.00063907495,"about_ca_topic_score_gemma":0.003320014,"teacher_disagreement_score":0.42225903,"about_ca_system_score_codex":0.00016342744,"about_ca_system_score_gemma":0.00021989671,"threshold_uncertainty_score":0.99870956},"labels":[],"label_agreement":null},{"id":"W2906278637","doi":"10.1111/deci.12348","title":"Disease Detection Analytics: A Simple Linear Convex Programming Algorithm for Breast Cancer and Diabetes Incidence Decisions","year":2018,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Decision tree; Artificial intelligence; Classifier (UML); Machine learning; Naive Bayes classifier; Support vector machine; Logistic regression; Bayes classifier; Random forest; Pattern recognition (psychology); Algorithm; Data mining","score_opus":0.04055952601994985,"score_gpt":0.3685972533458382,"score_spread":0.3280377273258884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906278637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783748,0.00088272797,0.019129224,0.0005214181,0.00018409641,0.0006560886,0.00020091477,0.000039719715,0.000011039313],"genre_scores_gemma":[0.9771925,0.00025587896,0.021721443,0.00035082817,0.00025628682,0.00019126602,0.000006245445,0.000008879493,0.00001663877],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99846715,0.000013225195,0.00022926895,0.0004946069,0.0005054092,0.0002903481],"domain_scores_gemma":[0.998239,0.00067359046,0.00008097466,0.00019812828,0.0003792746,0.00042908094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038204176,0.00013663304,0.00021627813,0.00017442321,0.00056752126,0.0001227834,0.00011593736,0.000036561058,0.000082947954],"category_scores_gemma":[0.0004561215,0.000090949274,0.00009362676,0.0005050542,0.00047660444,0.00023370988,0.000077954384,0.000039255152,0.000016325754],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056611025,0.00011945816,0.14310953,0.000004936091,0.000024291052,0.0000056072654,0.000046457924,0.0000028428517,0.00004488023,0.000014338701,0.00012622566,0.85644484],"study_design_scores_gemma":[0.0014016721,0.00075340003,0.8411533,0.00034637988,0.00035260772,0.000009980596,0.00027208874,0.14859587,0.0013782592,0.0018457776,0.00367567,0.0002149691],"about_ca_topic_score_codex":0.000059166956,"about_ca_topic_score_gemma":0.00006515046,"teacher_disagreement_score":0.85622984,"about_ca_system_score_codex":0.000051196967,"about_ca_system_score_gemma":0.00018238233,"threshold_uncertainty_score":0.4364972},"labels":[],"label_agreement":null},{"id":"W2970502476","doi":"10.1111/deci.12413","title":"Sourcing Strategy of Original Equipment Manufacturer with Quality Competition","year":2019,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Original equipment manufacturer; Outsourcing; Business; Quality (philosophy); Competition (biology); Product (mathematics); Industrial organization; Insourcing; Production (economics); Product differentiation; Marketing; Microeconomics; Economics; Computer science; Mathematics; Cournot competition","score_opus":0.05042625024469633,"score_gpt":0.3028253669069614,"score_spread":0.25239911666226506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970502476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93702954,0.000020145399,0.0036121097,0.00020742194,0.00031155552,0.00018903143,7.4574297e-7,0.00002869409,0.058600776],"genre_scores_gemma":[0.99810845,0.0000024973594,0.00086493883,0.0005759237,0.00012671121,0.0000037564673,0.0000043165387,0.0000049840146,0.00030844132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983783,0.000009549681,0.00027401946,0.00030188492,0.00084021117,0.00019608682],"domain_scores_gemma":[0.9994064,0.00007058358,0.00022987604,0.0001967906,0.00008536811,0.0000109974135],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011567352,0.000110795256,0.00016965214,0.00024482002,0.00013319707,0.00024304951,0.0003355833,0.000023328725,0.0023294187],"category_scores_gemma":[0.000019363884,0.00007272075,0.000044733213,0.00044988294,0.00012982237,0.0008443135,0.000118113756,0.00005123545,0.00043517482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029357435,0.0003058269,0.2715152,0.0002941368,0.000038043898,0.000008845802,0.00015586014,0.017981425,0.0016632101,0.648374,0.004472561,0.054897316],"study_design_scores_gemma":[0.0031320865,0.0003913926,0.4958866,0.0006471697,0.00006141254,0.0000040821956,0.009584848,0.015567987,0.0025280376,0.060028728,0.41109914,0.001068523],"about_ca_topic_score_codex":0.0002034226,"about_ca_topic_score_gemma":0.00004610716,"teacher_disagreement_score":0.5883453,"about_ca_system_score_codex":0.000019358786,"about_ca_system_score_gemma":0.000021485797,"threshold_uncertainty_score":0.9985826},"labels":[],"label_agreement":null},{"id":"W2999038281","doi":"10.1111/deci.12419","title":"Investment Strategies in Supplier Development under Capacity and Demand Uncertainty","year":2020,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Laurentian University","funders":"","keywords":"Stackelberg competition; Postponement; Profit (economics); Economic order quantity; Order (exchange); Microeconomics; Investment (military); Business; Supply chain; Industrial organization; Supplier relationship management; Game theory; Economics; Supply chain management; Marketing; Finance","score_opus":0.08521981654530954,"score_gpt":0.27304762570671826,"score_spread":0.18782780916140873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999038281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729278,0.00010139187,0.0033448841,0.0025797118,0.0001704785,0.00022323211,4.637539e-7,0.000042928736,0.020609075],"genre_scores_gemma":[0.98535717,0.000011568392,0.0021644738,0.012306276,0.00011279537,0.000015383897,0.0000025679008,0.000005427004,0.000024325613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985268,0.000009538242,0.00028773258,0.0004228373,0.00049915054,0.00025391896],"domain_scores_gemma":[0.9996931,0.0000636035,0.00008132873,0.00009449965,0.00003484175,0.00003263887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077536906,0.00014387266,0.00015863233,0.00021756829,0.00023955293,0.0006401307,0.0002966705,0.000033431596,0.00027740188],"category_scores_gemma":[0.000076568394,0.00010959195,0.000022621307,0.00068320363,0.00022307105,0.0010674368,0.0002926831,0.00007136445,0.0001179185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011250206,0.00021247407,0.10221392,0.00020725427,0.00003407789,0.000034411605,0.0031096677,0.024877472,0.00050646986,0.80720365,0.02128425,0.040203832],"study_design_scores_gemma":[0.0017130974,0.00006348184,0.19622622,0.00013559623,0.00001873974,0.0000015443303,0.01896112,0.057102557,0.00019045477,0.1617035,0.56308806,0.00079564156],"about_ca_topic_score_codex":0.00013607077,"about_ca_topic_score_gemma":0.00031011843,"teacher_disagreement_score":0.6455002,"about_ca_system_score_codex":0.000031360192,"about_ca_system_score_gemma":0.00004766886,"threshold_uncertainty_score":0.6172795},"labels":[],"label_agreement":null},{"id":"W3012667494","doi":"10.1111/deci.12433","title":"Data‐Driven Driver Dispatching System with Allocation Constraints and Operational Risk Management for a Ride‐Sharing Platform","year":2020,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Marcus och Amalia Wallenbergs minnesfond; National Natural Science Foundation of China","keywords":"Computer science; Time horizon; Operations research; Heuristic; Control (management); Mathematical optimization; Mode (computer interface); Time allocation; Real-time computing; Engineering; Economics","score_opus":0.05863694938468269,"score_gpt":0.2925452800284088,"score_spread":0.2339083306437261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012667494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34475076,0.000014014519,0.6541562,0.000106089625,0.00006032367,0.0002513795,0.00015423457,0.00007740722,0.0004295904],"genre_scores_gemma":[0.9290191,0.000016803091,0.0707653,0.00006793745,0.000019386722,0.000025206387,0.0000789399,0.000004796562,0.0000025471202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919224,0.0000024121134,0.0002007676,0.00027046085,0.00023830649,0.00009579032],"domain_scores_gemma":[0.9996504,0.00008845934,0.000032917585,0.00012606502,0.0000479899,0.000054177304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002912892,0.00007140154,0.00007849064,0.0000613791,0.00024000122,0.00013121011,0.00022776103,0.000017797993,0.000011234163],"category_scores_gemma":[0.000025226691,0.000056257828,0.000009869785,0.00025792388,0.00009166441,0.00050958403,0.00003007335,0.000044765606,0.0000047584304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058302132,0.000030287181,0.042525996,0.00026897644,0.00012975706,0.0000067653828,0.0030389398,0.53301567,0.00037699981,0.28283238,0.0011629486,0.13655294],"study_design_scores_gemma":[0.00046646412,0.000033194203,0.031808957,0.00007556188,0.000021835562,0.0000030120855,0.0018709325,0.96332806,0.0000388357,0.0002373358,0.0019994106,0.00011641421],"about_ca_topic_score_codex":0.0000055685177,"about_ca_topic_score_gemma":0.00006207785,"teacher_disagreement_score":0.58426833,"about_ca_system_score_codex":0.000015514248,"about_ca_system_score_gemma":0.000016383145,"threshold_uncertainty_score":0.22941276},"labels":[],"label_agreement":null},{"id":"W3013718812","doi":"10.1111/j.1540-5915.2009.00242.x","title":"A Design Theory Approach to Building Strategic Network‐Based Customer Service Systems*","year":2009,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Service design; Computer science; Knowledge management; Service (business); Customer advocacy; Service-dominant logic; Marketing; Process management; Business; Service delivery framework; Service quality","score_opus":0.12623996207844354,"score_gpt":0.31953268498046306,"score_spread":0.19329272290201951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013718812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24799035,0.0004517748,0.64026797,0.0020437927,0.0012349777,0.0010589852,0.0000016527162,0.00041636353,0.10653417],"genre_scores_gemma":[0.96070796,0.0000012991428,0.019508293,0.018994857,0.0007059418,0.000019541792,0.0000027613476,0.000010724258,0.000048630216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741596,0.000076125405,0.00041935444,0.00061215385,0.00092367776,0.0005527461],"domain_scores_gemma":[0.9987314,0.00040869118,0.00019534955,0.00036343007,0.00025146006,0.000049688173],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0061071552,0.00022703555,0.00028395472,0.00043459304,0.000717473,0.0014777171,0.0010645086,0.00008521627,0.000084113904],"category_scores_gemma":[0.000087206754,0.0001721537,0.00006487871,0.004107525,0.000056289628,0.0010955817,0.00011510361,0.00013072527,0.0008934196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016275558,0.00016114215,0.00020182079,0.000066588655,0.0000070627652,0.0000055887303,0.000112991125,0.6208724,0.00023368972,0.36188307,0.005404594,0.010888285],"study_design_scores_gemma":[0.0008332529,0.00007345958,0.0035019962,0.00037588374,0.000070549315,0.000007799967,0.0032654337,0.8220411,0.00003723829,0.13511673,0.033675645,0.0010009278],"about_ca_topic_score_codex":0.00020391785,"about_ca_topic_score_gemma":0.000016429378,"teacher_disagreement_score":0.7127176,"about_ca_system_score_codex":0.00002518011,"about_ca_system_score_gemma":0.00007265754,"threshold_uncertainty_score":0.9998845},"labels":[],"label_agreement":null},{"id":"W3148552932","doi":"10.1111/deci.12520","title":"The impact of inventory risk on market prices under competition","year":2021,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Competitor analysis; Intuition; Inventory management; Economics; Ceteris paribus; Microeconomics; Competition (biology); Inventory valuation; Nash equilibrium; Inventory theory; Industrial organization; Operations management","score_opus":0.04029832151870579,"score_gpt":0.3042581526278303,"score_spread":0.2639598311091245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148552932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8326588,0.00027025802,0.00091489614,0.000491826,0.00071393733,0.00012190233,0.000002227402,0.00002862331,0.1647975],"genre_scores_gemma":[0.99853015,0.0001465099,0.00012888982,0.0005224022,0.0002035895,0.0000050421136,0.0000028060633,0.0000052025307,0.0004553856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986523,0.00002654337,0.0002393792,0.00024993697,0.00064587826,0.00018596358],"domain_scores_gemma":[0.9989883,0.00035453498,0.00024582926,0.0002575993,0.00014208932,0.000011676666],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016498131,0.00009886311,0.000111712696,0.0001788015,0.00053367997,0.00043530468,0.00040711596,0.00002349909,0.0012903083],"category_scores_gemma":[0.0003973625,0.000055926874,0.00013221908,0.0008599694,0.00023134159,0.00050849735,0.00019671251,0.00006528947,0.00014792451],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021897681,0.00051542243,0.1940867,0.00005412008,0.00011370026,0.000016355458,0.00011270174,0.009651426,0.0002606974,0.4956001,0.19812511,0.10124467],"study_design_scores_gemma":[0.00068588986,0.00011237956,0.61153066,0.00021636649,0.000035536672,0.0000012046276,0.0031025268,0.042986322,0.00016794854,0.17410937,0.16674161,0.0003102013],"about_ca_topic_score_codex":0.00017382692,"about_ca_topic_score_gemma":0.00007610269,"teacher_disagreement_score":0.41744396,"about_ca_system_score_codex":0.000031401287,"about_ca_system_score_gemma":0.000040647872,"threshold_uncertainty_score":0.99962264},"labels":[],"label_agreement":null},{"id":"W3158156284","doi":"10.1111/deci.12517","title":"A flexible and optimal approach for appointment scheduling in healthcare","year":2021,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Exploit; Health care; Job shop scheduling; Operations research; Flexibility (engineering); Mathematical optimization; Idle; Operations management; Economics; Schedule; Mathematics","score_opus":0.18001384908664927,"score_gpt":0.4972457859245595,"score_spread":0.3172319368379102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158156284","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40379715,0.0009505419,0.58696526,0.0064787655,0.00026301402,0.0007389427,0.000012085919,0.000033116827,0.00076110684],"genre_scores_gemma":[0.35166413,0.00018677597,0.6465444,0.0011706046,0.00006387097,0.00018288117,0.000020610101,0.0000069312223,0.00015980052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980702,0.00020878404,0.0005346495,0.00048809923,0.0002971435,0.0004011491],"domain_scores_gemma":[0.99851805,0.00074549793,0.000087736,0.00016902585,0.00033890223,0.00014079406],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028018893,0.00009562341,0.00021401868,0.00017737533,0.0013778817,0.00006529573,0.00011640184,0.00013035141,0.00004010187],"category_scores_gemma":[0.00094000617,0.000078068086,0.000029334642,0.0007680065,0.00007212431,0.0002089188,0.00009170152,0.00022142717,0.000008863491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029663675,0.0005039931,0.15148161,0.0008741883,0.000017167986,0.000016526994,0.012948992,0.3665114,0.0006599406,0.21668762,0.0014332526,0.24856868],"study_design_scores_gemma":[0.0018988188,0.00027416376,0.010197524,0.00044897586,0.000006193305,0.00001145283,0.019069137,0.95762664,0.00019774759,0.005439986,0.0045234566,0.0003059289],"about_ca_topic_score_codex":0.00012390224,"about_ca_topic_score_gemma":0.00012240928,"teacher_disagreement_score":0.59111524,"about_ca_system_score_codex":0.000080362435,"about_ca_system_score_gemma":0.0010441951,"threshold_uncertainty_score":0.9999222},"labels":[],"label_agreement":null},{"id":"W3159078732","doi":"10.1111/deci.12524","title":"Retail inventory shrinkage, sensing weak security breach signals, and organizational structure","year":2021,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Shrinkage; Guard (computer science); Competition (biology); Marketing; Computer science","score_opus":0.01873779853602266,"score_gpt":0.2532951564572476,"score_spread":0.23455735792122492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159078732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98533833,0.00058519124,0.0019106175,0.0015199436,0.0005306066,0.00010853773,0.0000026758905,0.00006200991,0.009942086],"genre_scores_gemma":[0.99575895,0.00006986988,0.0015635947,0.0018943807,0.00040951165,5.9609863e-7,0.0000147857245,0.000009104766,0.0002791918],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981837,0.000016037353,0.0002413481,0.0005150092,0.0007998699,0.00024402316],"domain_scores_gemma":[0.9993018,0.00011300503,0.00011826312,0.00019196873,0.0002512269,0.000023768558],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006145829,0.00014037701,0.00015488578,0.00024465192,0.00061267463,0.0008466276,0.00027181028,0.000057080073,0.0012056238],"category_scores_gemma":[0.00040785765,0.00010926872,0.000036618156,0.001456143,0.0002349431,0.0009518259,0.0004628308,0.00010195052,0.00006658419],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004892281,0.00021386065,0.5490523,0.00023210379,0.00007069256,0.00034552527,0.0009991481,0.0025057502,0.008032444,0.14642806,0.083074935,0.20899627],"study_design_scores_gemma":[0.0012499829,0.00003198691,0.10484776,0.0003007298,0.000100232915,0.000098267505,0.0121466955,0.09576616,0.0019692725,0.39433128,0.3879759,0.0011817355],"about_ca_topic_score_codex":0.00006797441,"about_ca_topic_score_gemma":0.00016721811,"teacher_disagreement_score":0.44420454,"about_ca_system_score_codex":0.000015568774,"about_ca_system_score_gemma":0.00006112421,"threshold_uncertainty_score":0.9997074},"labels":[],"label_agreement":null},{"id":"W3170001842","doi":"10.1111/deci.12528","title":"Supplier selection in the aftermath of a supply disruption and guilt: Once bitten, twice (not so) shy","year":2021,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Context (archaeology); Business; Selection (genetic algorithm); Supplier relationship management; Component (thermodynamics); Outsourcing; Supply chain; Strategic sourcing; Insourcing; Marketing; Supply chain management; Computer science","score_opus":0.025502208436587976,"score_gpt":0.2916888130041793,"score_spread":0.26618660456759136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170001842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330014,0.00023646087,0.001119302,0.0032655504,0.00015887152,0.00017714463,0.0000012892166,0.0000148877,0.0017263445],"genre_scores_gemma":[0.99626565,0.00014768324,0.0010961504,0.00227876,0.00013253985,0.000017440067,0.0000029862933,0.0000042233223,0.000054543172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998407,0.00002292237,0.00029677828,0.00036523677,0.0006884854,0.00021959242],"domain_scores_gemma":[0.9993229,0.00022268924,0.00013213957,0.00021320612,0.000100530655,0.000008542731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366014,0.000107891,0.00014298664,0.00031332177,0.0003116026,0.0005639195,0.00051292113,0.00003562854,0.000119032666],"category_scores_gemma":[0.00030707242,0.00006726522,0.000043389846,0.0017283305,0.00023222939,0.0010103105,0.00031484736,0.000079245794,0.000033447464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022739366,0.0005093736,0.5972673,0.00021328386,0.000021359381,0.00011394056,0.0031884753,0.0019626606,0.017362377,0.054792613,0.021507397,0.3028338],"study_design_scores_gemma":[0.00065658265,0.000051063656,0.8618868,0.0001811436,0.00003977921,0.000022330087,0.01022536,0.022878395,0.00089470734,0.0205135,0.082355,0.00029533697],"about_ca_topic_score_codex":0.00031397335,"about_ca_topic_score_gemma":0.000442867,"teacher_disagreement_score":0.30253845,"about_ca_system_score_codex":0.000011102317,"about_ca_system_score_gemma":0.000034686545,"threshold_uncertainty_score":0.54378885},"labels":[],"label_agreement":null},{"id":"W4205116924","doi":"10.1111/deci.12456","title":"Issue Information","year":2021,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Colorado Boulder; Nazarbayev University; University of Science and Technology of China; Universiteit van Tilburg; James Madison University; Shanghai Jiao Tong University; Beijing Institute of Technology; Fudan University; University of North Florida; Chung-Ang University; Monash University; Donghua University; Texas Christian University; Nanyang Technological University; Ohio State University; University of St. Thomas; Chinese Academy of Sciences; West Virginia University; Oregon State University; University of Miami; Queen's University; University of South Carolina; Georgia State University; Auburn University; Michigan State University; University of Washington; North Carolina State University; Virginia Commonwealth University; Tulane University; Arizona State University; University of Minnesota; University of Hong Kong; University of Pittsburgh; University of Tulsa; Syracuse University; Colorado State University; Wayne State University; City University of Hong Kong; University of Melbourne; Portland State University; University of Nevada, Las Vegas; College of Engineering, Michigan State University; Dalhousie University; University of Oklahoma; Erasmus Universiteit Rotterdam; University at Buffalo; Northern Illinois University; Pennsylvania State University; University of Nevada, Reno; University of Pennsylvania; Georgia Institute of Technology; University of Chinese Academy of Sciences; Wuhan University; Durham University; Universidad Panamericana; Georgia Southern University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.04972834474871541,"score_gpt":0.3477240614365994,"score_spread":0.297995716687884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205116924","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004846012,0.0010720388,0.04166311,0.00008726234,0.039555863,0.00017418263,0.000045555487,0.00015566961,0.9124003],"genre_scores_gemma":[0.026259134,0.016578088,0.037190787,0.0043528816,0.01680396,0.00023164148,0.003317698,0.00017030806,0.8950955],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857587,0.000020716272,0.00033400432,0.00015414756,0.0007568151,0.00015843763],"domain_scores_gemma":[0.999504,0.00007872037,0.000056165863,0.00018667462,0.00011589119,0.000058490445],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004937523,0.00014296401,0.00017255735,0.0003144512,0.00016893396,0.00040350258,0.00028003738,0.00017343122,0.32425234],"category_scores_gemma":[0.00009020826,0.00012557617,0.00006188703,0.00043476574,0.00007195326,0.0006791397,0.000036425397,0.00015909354,0.53897035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.5308087e-7,0.0000016069913,4.556746e-7,0.000014165379,0.000002248173,1.578413e-7,0.00019966686,0.027154546,0.000040831557,0.0000028885647,0.9047813,0.06780168],"study_design_scores_gemma":[0.000063949454,0.000011642434,0.00012818775,0.00008014507,0.000003466236,0.0000020180005,0.00022060252,0.014830505,0.00007816634,0.000056417768,0.9843686,0.00015625388],"about_ca_topic_score_codex":5.355598e-7,"about_ca_topic_score_gemma":0.0000042171664,"teacher_disagreement_score":0.21471798,"about_ca_system_score_codex":0.00006735677,"about_ca_system_score_gemma":0.00008730823,"threshold_uncertainty_score":0.6763654},"labels":[],"label_agreement":null},{"id":"W4212833501","doi":"10.1111/deci.12464","title":"Issue Information","year":2021,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Colorado Boulder; Nazarbayev University; University of Science and Technology of China; Universiteit van Tilburg; James Madison University; Shanghai Jiao Tong University; Beijing Institute of Technology; Fudan University; University of North Florida; Chung-Ang University; Monash University; Donghua University; Texas Christian University; Nanyang Technological University; Ohio State University; University of St. Thomas; Chinese Academy of Sciences; West Virginia University; Oregon State University; University of Miami; Queen's University; University of South Carolina; Georgia State University; Auburn University; Michigan State University; University of Washington; North Carolina State University; Virginia Commonwealth University; Tulane University; Arizona State University; University of Minnesota; University of Hong Kong; University of Pittsburgh; University of Tulsa; Syracuse University; Colorado State University; Wayne State University; City University of Hong Kong; University of Melbourne; Portland State University; University of Nevada, Las Vegas; College of Engineering, Michigan State University; Dalhousie University; University of Oklahoma; Erasmus Universiteit Rotterdam; University at Buffalo; Northern Illinois University; Pennsylvania State University; University of Nevada, Reno; University of Pennsylvania; Georgia Institute of Technology; University of Chinese Academy of Sciences; Wuhan University; Durham University; Universidad Panamericana; Georgia Southern University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Operations research; Political science; Mathematics; Law","score_opus":0.0672026761373172,"score_gpt":0.44765928433126356,"score_spread":0.38045660819394633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212833501","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006739499,0.0021251908,0.00035380654,0.0043116505,0.011927351,0.00015553158,0.000055019827,0.00003492362,0.9803626],"genre_scores_gemma":[0.006769635,0.007682309,0.003831922,0.0052019632,0.005540833,0.000027931492,0.00012086032,0.000012932828,0.9708116],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997017,0.00015496282,0.00039614024,0.0002944261,0.0017019829,0.0004354769],"domain_scores_gemma":[0.99848104,0.00058522896,0.00022208957,0.00023056424,0.00030254744,0.00017852992],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001647494,0.00017039476,0.00029229835,0.000320799,0.0014053769,0.0014576461,0.0010238218,0.00032394516,0.035868928],"category_scores_gemma":[0.0011788139,0.00013297674,0.00012162314,0.0014070364,0.00078234007,0.0014539366,0.00015386581,0.00022139365,0.09667266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018835267,0.0000065108734,0.0000062031713,0.00000559845,0.0000029617956,9.525527e-7,0.007924848,0.000016801003,0.0000010101904,0.0052538957,0.9273863,0.059393074],"study_design_scores_gemma":[0.00005311192,0.00002227051,0.000019430514,0.00009913602,0.000004530601,7.887361e-7,0.0038147797,0.000007224241,0.000045298835,0.0013231497,0.99442077,0.00018952678],"about_ca_topic_score_codex":0.005533624,"about_ca_topic_score_gemma":0.0007926137,"teacher_disagreement_score":0.06703449,"about_ca_system_score_codex":0.00007175679,"about_ca_system_score_gemma":0.0013633673,"threshold_uncertainty_score":0.9998947},"labels":[],"label_agreement":null},{"id":"W4224308835","doi":"10.1111/deci.12563","title":"To talk or not?: An analysis of firm‐initiated social media communication's impact on firm value preservation during a massive disruption across multiple firms and industries","year":2022,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Shareholder value; Shareholder; Enterprise value; Valuation (finance); Social media; Business; Extant taxon; Value (mathematics); Market value; Economies of scale; Marketing; Economics; Industrial organization; Accounting; Corporate governance; Finance","score_opus":0.1455256656133572,"score_gpt":0.44503055977035844,"score_spread":0.2995048941570012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224308835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966413,0.000040093968,0.00030506466,0.002189975,0.00006380285,0.00027635458,0.00020683417,0.0000365254,0.00024007031],"genre_scores_gemma":[0.99885213,0.00006938961,0.0007344559,0.000076598655,0.000024928248,0.000078607256,0.000106061336,0.000005638443,0.000052193227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698573,0.0007071407,0.00043500558,0.0003346212,0.0012731553,0.00026431956],"domain_scores_gemma":[0.996581,0.002180049,0.0003667968,0.00045516345,0.00028570663,0.00013127513],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003309847,0.00011671251,0.00025622913,0.0005425632,0.0047750524,0.00035988088,0.0010499773,0.00009100662,0.0003867066],"category_scores_gemma":[0.002961932,0.00009248055,0.00008955862,0.005265205,0.00050747814,0.0012877791,0.0004779534,0.00020058296,0.0000019610416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015335933,0.00084593927,0.39485374,0.000006238415,0.0002839597,0.0000033812973,0.38062653,0.13602042,0.00069359865,0.012689955,0.0010396264,0.07140302],"study_design_scores_gemma":[0.00030228982,0.00014424908,0.9131506,0.000010893812,0.000043872304,3.9270353e-7,0.06385648,0.020534711,0.000041744242,0.0006614884,0.0011174552,0.00013579785],"about_ca_topic_score_codex":0.002632506,"about_ca_topic_score_gemma":0.006235594,"teacher_disagreement_score":0.5182969,"about_ca_system_score_codex":0.00021159773,"about_ca_system_score_gemma":0.00021884199,"threshold_uncertainty_score":0.9965206},"labels":[],"label_agreement":null},{"id":"W4230979331","doi":"10.1111/deci.12322","title":"ISSUE INFORMATION","year":2019,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California Merced; University of Texas at Dallas; Aalto-Yliopisto; Pusan National University; Purdue University; University College Dublin; University of Alberta; Hang Seng Management College; University of Oregon; University of St. Thomas; University of Illinois at Urbana-Champaign; Michigan State University; University of Minnesota; University of Nevada, Las Vegas; Ohio State University; University of Miami; Florida State University; Utah State University; Arizona State University; Lunds Universitet; Shanghai Jiao Tong University; College of Engineering, Michigan State University; University of Washington; University of Memphis; Clemson University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.06047889981931457,"score_gpt":0.44110782694653744,"score_spread":0.38062892712722285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230979331","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006923381,0.0007934529,0.00035565655,0.0030364655,0.018089322,0.00028268585,0.00006235668,0.00003725223,0.9766505],"genre_scores_gemma":[0.01237002,0.0026354725,0.0013534505,0.0034697575,0.0032106754,0.000016378604,0.000051151335,0.000010500732,0.9768826],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970517,0.00011390443,0.00038564336,0.00028300082,0.0017100859,0.0004556641],"domain_scores_gemma":[0.99848396,0.00064758,0.00026596605,0.00025186766,0.00020274708,0.00014785842],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018195241,0.00017877368,0.00029514887,0.00040910143,0.0010165018,0.0010775796,0.0012905519,0.0003438238,0.0240766],"category_scores_gemma":[0.000700995,0.00013262613,0.0001108956,0.0010249607,0.00070513895,0.0017547482,0.00013259376,0.00021898714,0.39813903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035403234,0.000004840897,0.000012976368,0.000006909313,0.000002431444,1.6750954e-7,0.0070222253,0.000044890458,6.5665574e-7,0.0057778843,0.94385034,0.043273166],"study_design_scores_gemma":[0.00006801985,0.000041017905,0.00002683255,0.000078913654,0.0000034113664,3.367895e-7,0.0019376053,0.000016095157,0.000017333354,0.0014018643,0.99620837,0.00020020686],"about_ca_topic_score_codex":0.005673382,"about_ca_topic_score_gemma":0.00032276954,"teacher_disagreement_score":0.37406242,"about_ca_system_score_codex":0.00007468889,"about_ca_system_score_gemma":0.0010008527,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W4242323789","doi":"10.1111/deci.12460","title":"Issue Information","year":2021,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Colorado Boulder; Nazarbayev University; University of Science and Technology of China; Universiteit van Tilburg; James Madison University; Shanghai Jiao Tong University; Beijing Institute of Technology; Fudan University; University of North Florida; Chung-Ang University; Monash University; Donghua University; Texas Christian University; Nanyang Technological University; Ohio State University; University of St. Thomas; Chinese Academy of Sciences; West Virginia University; Oregon State University; University of Miami; Queen's University; University of South Carolina; Georgia State University; Auburn University; Michigan State University; University of Washington; North Carolina State University; Virginia Commonwealth University; Tulane University; Arizona State University; University of Minnesota; University of Hong Kong; University of Pittsburgh; University of Tulsa; Syracuse University; Colorado State University; Wayne State University; City University of Hong Kong; University of Melbourne; Portland State University; University of Nevada, Las Vegas; College of Engineering, Michigan State University; Dalhousie University; University of Oklahoma; Erasmus Universiteit Rotterdam; University at Buffalo; Northern Illinois University; Pennsylvania State University; University of Nevada, Reno; University of Pennsylvania; Georgia Institute of Technology; University of Chinese Academy of Sciences; Wuhan University; Durham University; Universidad Panamericana; Georgia Southern University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.0672026761373172,"score_gpt":0.44765928433126356,"score_spread":0.38045660819394633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242323789","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006739499,0.0021251908,0.00035380654,0.0043116505,0.011927351,0.00015553158,0.000055019827,0.00003492362,0.9803626],"genre_scores_gemma":[0.006769635,0.007682309,0.003831922,0.0052019632,0.005540833,0.000027931492,0.00012086032,0.000012932828,0.9708116],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997017,0.00015496282,0.00039614024,0.0002944261,0.0017019829,0.0004354769],"domain_scores_gemma":[0.99848104,0.00058522896,0.00022208957,0.00023056424,0.00030254744,0.00017852992],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001647494,0.00017039476,0.00029229835,0.000320799,0.0014053769,0.0014576461,0.0010238218,0.00032394516,0.035868928],"category_scores_gemma":[0.0011788139,0.00013297674,0.00012162314,0.0014070364,0.00078234007,0.0014539366,0.00015386581,0.00022139365,0.09667266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018835267,0.0000065108734,0.0000062031713,0.00000559845,0.0000029617956,9.525527e-7,0.007924848,0.000016801003,0.0000010101904,0.0052538957,0.9273863,0.059393074],"study_design_scores_gemma":[0.00005311192,0.00002227051,0.000019430514,0.00009913602,0.000004530601,7.887361e-7,0.0038147797,0.000007224241,0.000045298835,0.0013231497,0.99442077,0.00018952678],"about_ca_topic_score_codex":0.005533624,"about_ca_topic_score_gemma":0.0007926137,"teacher_disagreement_score":0.06703449,"about_ca_system_score_codex":0.00007175679,"about_ca_system_score_gemma":0.0013633673,"threshold_uncertainty_score":0.9998947},"labels":[],"label_agreement":null},{"id":"W4252871832","doi":"10.1111/deci.12288","title":"ISSUE INFORMATION","year":2018,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California Merced; University of Texas at Dallas; Aalto-Yliopisto; Pusan National University; Purdue University; University College Dublin; University of Alberta; Hang Seng Management College; University of Oregon; University of St. Thomas; University of Illinois at Urbana-Champaign; Michigan State University; University of Minnesota; University of Nevada, Las Vegas; Ohio State University; University of Miami; Florida State University; Utah State University; Arizona State University; Lunds Universitet; Shanghai Jiao Tong University; College of Engineering, Michigan State University; University of Washington; University of Memphis; Clemson University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.09728944304902927,"score_gpt":0.3609264908048678,"score_spread":0.26363704775583857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252871832","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012572024,0.0003962208,0.022651915,0.000732912,0.027232077,0.0002542048,0.000049104856,0.000070686954,0.9473557],"genre_scores_gemma":[0.06768502,0.004174323,0.028369894,0.099813834,0.14072183,0.00028521044,0.0071078283,0.00026652665,0.65157557],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976948,0.0000038358885,0.00049471954,0.00040323706,0.0010741922,0.00032920393],"domain_scores_gemma":[0.9984477,0.00009863995,0.00048582038,0.00041146297,0.0005433934,0.000012965954],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008952847,0.0002581544,0.00026868534,0.00086763635,0.000546867,0.0025743037,0.0016217483,0.00022193146,0.05320364],"category_scores_gemma":[0.0005022676,0.00018444909,0.00007677112,0.0018075635,0.00045502564,0.0069138487,0.0006006205,0.00015555593,0.5133792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008287083,0.000008176623,0.00002193565,0.00004138683,0.0000021603141,3.0295618e-7,0.000009146759,0.00001970788,0.0000020222,0.0008668412,0.89798623,0.1010338],"study_design_scores_gemma":[0.00005559271,0.000008785877,0.000119810175,0.00019686675,0.000010337638,0.0000016378361,0.000070722155,0.0010025647,0.000032168442,0.0020908485,0.99614,0.00027067325],"about_ca_topic_score_codex":0.000275846,"about_ca_topic_score_gemma":0.000025796058,"teacher_disagreement_score":0.46017557,"about_ca_system_score_codex":0.000017560502,"about_ca_system_score_gemma":0.00008976081,"threshold_uncertainty_score":0.9984611},"labels":[],"label_agreement":null},{"id":"W4254078498","doi":"10.1111/deci.12291","title":"ISSUE INFORMATION","year":2018,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California Merced; University of Texas at Dallas; Aalto-Yliopisto; Pusan National University; Purdue University; University College Dublin; University of Alberta; Hang Seng Management College; University of Oregon; University of St. Thomas; University of Illinois at Urbana-Champaign; Michigan State University; University of Minnesota; University of Nevada, Las Vegas; Ohio State University; University of Miami; Florida State University; Utah State University; Arizona State University; Lunds Universitet; Shanghai Jiao Tong University; College of Engineering, Michigan State University; University of Washington; University of Memphis; Clemson University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.09728944304902927,"score_gpt":0.3609264908048678,"score_spread":0.26363704775583857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254078498","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012572024,0.0003962208,0.022651915,0.000732912,0.027232077,0.0002542048,0.000049104856,0.000070686954,0.9473557],"genre_scores_gemma":[0.06768502,0.004174323,0.028369894,0.099813834,0.14072183,0.00028521044,0.0071078283,0.00026652665,0.65157557],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976948,0.0000038358885,0.00049471954,0.00040323706,0.0010741922,0.00032920393],"domain_scores_gemma":[0.9984477,0.00009863995,0.00048582038,0.00041146297,0.0005433934,0.000012965954],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008952847,0.0002581544,0.00026868534,0.00086763635,0.000546867,0.0025743037,0.0016217483,0.00022193146,0.05320364],"category_scores_gemma":[0.0005022676,0.00018444909,0.00007677112,0.0018075635,0.00045502564,0.0069138487,0.0006006205,0.00015555593,0.5133792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008287083,0.000008176623,0.00002193565,0.00004138683,0.0000021603141,3.0295618e-7,0.000009146759,0.00001970788,0.0000020222,0.0008668412,0.89798623,0.1010338],"study_design_scores_gemma":[0.00005559271,0.000008785877,0.000119810175,0.00019686675,0.000010337638,0.0000016378361,0.000070722155,0.0010025647,0.000032168442,0.0020908485,0.99614,0.00027067325],"about_ca_topic_score_codex":0.000275846,"about_ca_topic_score_gemma":0.000025796058,"teacher_disagreement_score":0.46017557,"about_ca_system_score_codex":0.000017560502,"about_ca_system_score_gemma":0.00008976081,"threshold_uncertainty_score":0.9984611},"labels":[],"label_agreement":null},{"id":"W4282929103","doi":"10.1111/deci.12531","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Colorado Boulder; Nazarbayev University; University of Science and Technology of China; Universiteit van Tilburg; James Madison University; Shanghai Jiao Tong University; Beijing Institute of Technology; Fudan University; University of North Florida; Chung-Ang University; Monash University; Donghua University; Texas Christian University; Nanyang Technological University; Ohio State University; University of St. Thomas; Chinese Academy of Sciences; West Virginia University; Oregon State University; University of Miami; Queen's University; University of South Carolina; Georgia State University; Auburn University; Michigan State University; University of Washington; North Carolina State University; Virginia Commonwealth University; Tulane University; Arizona State University; University of Minnesota; University of Hong Kong; University of Pittsburgh; University of Tulsa; Syracuse University; Colorado State University; Wayne State University; City University of Hong Kong; University of Melbourne; Portland State University; University of Nevada, Las Vegas; College of Engineering, Michigan State University; Dalhousie University; University of Oklahoma; Erasmus Universiteit Rotterdam; University at Buffalo; Northern Illinois University; Pennsylvania State University; University of Nevada, Reno; University of Pennsylvania; Georgia Institute of Technology; University of Chinese Academy of Sciences; Wuhan University; Durham University; Universidad Panamericana; Georgia Southern University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.06519935772813772,"score_gpt":0.4431676495122761,"score_spread":0.3779682917841384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282929103","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00050637143,0.0009696646,0.00012514302,0.0037088203,0.013403109,0.00022543437,0.00011185967,0.000045729394,0.98090386],"genre_scores_gemma":[0.005735758,0.0040694163,0.0014678722,0.005093496,0.0034540212,0.00007377315,0.00011641779,0.000013716138,0.9799755],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964988,0.00019131997,0.00038780353,0.00028000204,0.002201855,0.0004401764],"domain_scores_gemma":[0.9986107,0.00062931946,0.00026310238,0.00021985626,0.00012177827,0.0001552798],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023989214,0.00016426147,0.0002533783,0.00046617354,0.002789911,0.00089487474,0.001501061,0.00018881174,0.17025891],"category_scores_gemma":[0.0007510874,0.00013208925,0.00011171571,0.0014843197,0.00073542376,0.0014103906,0.00025985006,0.00029814927,0.10769716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038435755,0.000006707418,0.0000057976895,0.0000034879479,0.000002301532,4.8967206e-7,0.009875473,0.000053498243,3.1095897e-7,0.00643568,0.9268486,0.056763828],"study_design_scores_gemma":[0.00005616379,0.000049018552,0.00001451889,0.00002170034,0.000003959916,6.1300153e-7,0.004409251,0.000008841285,0.000006817546,0.0019532505,0.9932859,0.00018995519],"about_ca_topic_score_codex":0.008263246,"about_ca_topic_score_gemma":0.00035269666,"teacher_disagreement_score":0.06643733,"about_ca_system_score_codex":0.00012794009,"about_ca_system_score_gemma":0.0010081831,"threshold_uncertainty_score":0.99850833},"labels":[],"label_agreement":null},{"id":"W4312180255","doi":"10.1111/deci.12534","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Colorado Boulder; University of Science and Technology of China; Nankai University; Universiteit van Tilburg; Hong Kong Polytechnic University; Beijing Institute of Technology; Fudan University; Nazarbayev University; University of North Texas; Seoul National University; University of North Florida; Chung-Ang University; Monash University; Donghua University; Texas Christian University; Nanyang Technological University; University of Bristol; University of Nevada, Reno; University of St. Thomas; University of Miami; Queen's University; University of South Carolina; Oregon State University; Chinese Academy of Sciences; West Virginia University; Universität zu Köln; Shanghai Jiao Tong University; James Madison University; Erasmus Universiteit Rotterdam; University at Buffalo; Northern Illinois University; North Carolina State University; University of Washington; Tongji University; Lehigh University; Auburn University; Michigan State University; City, University of London; Virginia Commonwealth University; Tulane University; Arizona State University; University of Minnesota; University of Hong Kong; University of Pittsburgh; University of Tulsa; Syracuse University; Colorado State University; University of Connecticut; Wayne State University; City University of Hong Kong; University of Melbourne; San José State University; Portland State University; University of Nevada, Las Vegas; College of Engineering, Michigan State University; Dalhousie University; University of Oklahoma; Georgia Institute of Technology; University of Chinese Academy of Sciences; Wuhan University; Durham University; Universidad Panamericana; Georgia Southern University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.02254653498182217,"score_gpt":0.3425126008807292,"score_spread":0.319966065898907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312180255","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017087871,0.000110701214,0.0006477264,0.00024049886,0.00606552,0.0002849456,0.0001248535,0.000020703144,0.9754172],"genre_scores_gemma":[0.06291656,0.0028315806,0.014084336,0.013066682,0.0009493964,0.0002969112,0.00087902014,0.00007653822,0.904899],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969769,0.00006039693,0.0003734264,0.0003529807,0.0018866226,0.0003496366],"domain_scores_gemma":[0.99922234,0.0001343689,0.00025663237,0.00025162217,0.0000032034327,0.0001318528],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006979345,0.00021931384,0.00023049003,0.0001087691,0.0009473009,0.0002450801,0.0009978134,0.00012725338,0.56047857],"category_scores_gemma":[0.00005700523,0.00017889396,0.000103324805,0.0006658513,0.0005014194,0.0013441668,0.0011108568,0.00027883824,0.2718354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046166524,0.000028203107,0.00048381792,0.0000018889907,0.0000029038918,8.751466e-7,0.0002660537,0.0015633237,0.000023261207,0.000010482323,0.92708045,0.070534095],"study_design_scores_gemma":[0.00010432881,0.000110540335,0.00308243,0.00000909219,0.000005220936,0.0000027448193,0.00047207795,0.00008131273,0.00003477494,0.00040121848,0.9954603,0.00023597779],"about_ca_topic_score_codex":0.00036251076,"about_ca_topic_score_gemma":0.000010904781,"teacher_disagreement_score":0.28864315,"about_ca_system_score_codex":0.00041037687,"about_ca_system_score_gemma":0.000040062365,"threshold_uncertainty_score":0.72950834},"labels":[],"label_agreement":null},{"id":"W4323049590","doi":"10.1111/deci.12567","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Colorado Boulder; University of Science and Technology of China; Nankai University; Universiteit van Tilburg; Hong Kong Polytechnic University; Beijing Institute of Technology; Fudan University; Nazarbayev University; University of North Texas; Seoul National University; University of North Florida; Chung-Ang University; Monash University; Donghua University; Texas Christian University; Nanyang Technological University; University of Bristol; University of Nevada, Reno; University of St. Thomas; University of Miami; Queen's University; University of South Carolina; Oregon State University; Chinese Academy of Sciences; West Virginia University; Universität zu Köln; Shanghai Jiao Tong University; James Madison University; Erasmus Universiteit Rotterdam; University at Buffalo; Northern Illinois University; North Carolina State University; University of Washington; Tongji University; Lehigh University; Auburn University; Michigan State University; City, University of London; Virginia Commonwealth University; Tulane University; Arizona State University; University of Minnesota; University of Hong Kong; University of Pittsburgh; University of Tulsa; Syracuse University; Colorado State University; University of Connecticut; Wayne State University; City University of Hong Kong; University of Melbourne; San José State University; Portland State University; University of Nevada, Las Vegas; College of Engineering, Michigan State University; Dalhousie University; University of Oklahoma; Georgia Institute of Technology; University of Chinese Academy of Sciences; Wuhan University; Durham University; Universidad Panamericana; Georgia Southern University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.09316785960520009,"score_gpt":0.46586661310033073,"score_spread":0.37269875349513065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323049590","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00052560185,0.00040520306,0.00018603209,0.0048489408,0.016731715,0.00021601534,0.00008480985,0.00011379413,0.9768879],"genre_scores_gemma":[0.0027994092,0.0040926416,0.00091062393,0.0019928582,0.0039982176,0.000030308645,0.00006119033,0.000014538381,0.9861002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692875,0.00011143022,0.00040152043,0.00027751268,0.001789273,0.0004915392],"domain_scores_gemma":[0.99832696,0.00087666634,0.00022536631,0.00020962187,0.00018779465,0.00017356811],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022994513,0.00017046946,0.00026464273,0.0005486148,0.001526736,0.0011095693,0.0012369368,0.00031929472,0.01311366],"category_scores_gemma":[0.0013489261,0.0001294478,0.000107782886,0.0019448472,0.00085175654,0.0013786657,0.0001554259,0.00020910958,0.4644166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000229266,0.0000032688429,0.0000036907622,0.0000051080774,0.0000024640874,5.22088e-7,0.00782465,0.000027195072,3.626594e-7,0.0044480925,0.9388459,0.04883648],"study_design_scores_gemma":[0.00004924707,0.000028906597,0.000036778456,0.00008079719,0.0000037700768,2.629485e-7,0.0027815679,0.000014640101,0.000011679972,0.0036102878,0.99319804,0.00018399752],"about_ca_topic_score_codex":0.009277279,"about_ca_topic_score_gemma":0.0010792104,"teacher_disagreement_score":0.45130295,"about_ca_system_score_codex":0.00006821722,"about_ca_system_score_gemma":0.0007919784,"threshold_uncertainty_score":0.9999274},"labels":[],"label_agreement":null},{"id":"W4360861693","doi":"10.1111/deci.12595","title":"The waste management supply chain: A decision framework","year":2023,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Waste management; Compost; Supply chain; Environmental science; Environmental economics; Engineering; Economics","score_opus":0.027905413366451734,"score_gpt":0.31010851402457723,"score_spread":0.2822031006581255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360861693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83017415,0.00023472378,0.044658855,0.0055115735,0.0028429637,0.0013029653,0.0000060741054,0.00028331787,0.11498541],"genre_scores_gemma":[0.97481453,0.0010194825,0.018814094,0.0009119952,0.000092305585,0.000103209415,0.0000015919601,0.000021818998,0.0042209956],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99578875,0.00006777055,0.0004154176,0.00072076696,0.0022783347,0.00072895037],"domain_scores_gemma":[0.9972961,0.0015254545,0.00011018747,0.00089688064,0.000009665526,0.00016169768],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0037536907,0.00019418026,0.00015218438,0.00016852259,0.0016485687,0.000457162,0.0022870717,0.000058366863,0.00109422],"category_scores_gemma":[0.00036265852,0.00011594894,0.00010082441,0.0034338795,0.0007081198,0.0002745194,0.0027991927,0.00014952576,0.009418446],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044680593,0.000038734637,0.003578679,0.0000031051638,0.000011699754,0.00005395217,0.0004235038,0.193151,0.000008023068,0.021285973,0.12265163,0.65874904],"study_design_scores_gemma":[0.00035155972,0.00015406286,0.034083657,0.00015082174,0.000014608114,0.000005107969,0.0042973454,0.18699041,0.000057879926,0.20190962,0.57156825,0.00041666423],"about_ca_topic_score_codex":0.000053030453,"about_ca_topic_score_gemma":0.000121444435,"teacher_disagreement_score":0.65833235,"about_ca_system_score_codex":0.000099197496,"about_ca_system_score_gemma":0.0000064197234,"threshold_uncertainty_score":0.9998189},"labels":[],"label_agreement":null},{"id":"W4381849838","doi":"10.1111/deci.12569","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Colorado Boulder; University of Science and Technology of China; Nankai University; Universiteit van Tilburg; Hong Kong Polytechnic University; Beijing Institute of Technology; Fudan University; Nazarbayev University; University of North Texas; Seoul National University; University of North Florida; Chung-Ang University; Monash University; Donghua University; Texas Christian University; Nanyang Technological University; University of Bristol; University of Nevada, Reno; University of St. Thomas; University of Miami; Queen's University; University of South Carolina; Oregon State University; Chinese Academy of Sciences; West Virginia University; Universität zu Köln; Shanghai Jiao Tong University; James Madison University; Erasmus Universiteit Rotterdam; University at Buffalo; Northern Illinois University; North Carolina State University; University of Washington; Tongji University; Lehigh University; Auburn University; Michigan State University; City, University of London; Virginia Commonwealth University; Tulane University; Arizona State University; University of Minnesota; University of Hong Kong; University of Pittsburgh; University of Tulsa; Syracuse University; Colorado State University; University of Connecticut; Wayne State University; City University of Hong Kong; University of Melbourne; San José State University; Portland State University; University of Nevada, Las Vegas; College of Engineering, Michigan State University; Dalhousie University; University of Oklahoma; Georgia Institute of Technology; University of Chinese Academy of Sciences; Wuhan University; Durham University; Universidad Panamericana; Georgia Southern University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.09316785960520009,"score_gpt":0.46586661310033073,"score_spread":0.37269875349513065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381849838","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00052560185,0.00040520306,0.00018603209,0.0048489408,0.016731715,0.00021601534,0.00008480985,0.00011379413,0.9768879],"genre_scores_gemma":[0.0027994092,0.0040926416,0.00091062393,0.0019928582,0.0039982176,0.000030308645,0.00006119033,0.000014538381,0.9861002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692875,0.00011143022,0.00040152043,0.00027751268,0.001789273,0.0004915392],"domain_scores_gemma":[0.99832696,0.00087666634,0.00022536631,0.00020962187,0.00018779465,0.00017356811],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022994513,0.00017046946,0.00026464273,0.0005486148,0.001526736,0.0011095693,0.0012369368,0.00031929472,0.01311366],"category_scores_gemma":[0.0013489261,0.0001294478,0.000107782886,0.0019448472,0.00085175654,0.0013786657,0.0001554259,0.00020910958,0.4644166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000229266,0.0000032688429,0.0000036907622,0.0000051080774,0.0000024640874,5.22088e-7,0.00782465,0.000027195072,3.626594e-7,0.0044480925,0.9388459,0.04883648],"study_design_scores_gemma":[0.00004924707,0.000028906597,0.000036778456,0.00008079719,0.0000037700768,2.629485e-7,0.0027815679,0.000014640101,0.000011679972,0.0036102878,0.99319804,0.00018399752],"about_ca_topic_score_codex":0.009277279,"about_ca_topic_score_gemma":0.0010792104,"teacher_disagreement_score":0.45130295,"about_ca_system_score_codex":0.00006821722,"about_ca_system_score_gemma":0.0007919784,"threshold_uncertainty_score":0.9999274},"labels":[],"label_agreement":null},{"id":"W4387580695","doi":"10.1111/deci.12571","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Chinese Academy of Sciences; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Memorial University of Newfoundland; Universität zu Köln; Shanghai Jiao Tong University; Tongji University; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; Universität Zürich; Honam University; University of North Carolina at Charlotte; Chung-Ang University; Texas Christian University; Nanyang Technological University; Southern Methodist University; Temple University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Kennesaw State University; Santa Clara University; University of Melbourne; Iowa State University; University of Oregon; Queen's University; University of Texas at Arlington; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Utah State University; Rutgers, The State University of New Jersey; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Portland State University; Imperial College London; Washington State University; Webster University; Oklahoma State University; University of Minnesota; South China University of Technology; Erasmus Universiteit Rotterdam; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Wisconsin-Madison; Syracuse University; Chinese Academy of Sciences; University of Pennsylvania; Georgia Southern University; University of Connecticut; George Mason University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.09316785960520009,"score_gpt":0.46586661310033073,"score_spread":0.37269875349513065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387580695","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00052560185,0.00040520306,0.00018603209,0.0048489408,0.016731715,0.00021601534,0.00008480985,0.00011379413,0.9768879],"genre_scores_gemma":[0.0027994092,0.0040926416,0.00091062393,0.0019928582,0.0039982176,0.000030308645,0.00006119033,0.000014538381,0.9861002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692875,0.00011143022,0.00040152043,0.00027751268,0.001789273,0.0004915392],"domain_scores_gemma":[0.99832696,0.00087666634,0.00022536631,0.00020962187,0.00018779465,0.00017356811],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022994513,0.00017046946,0.00026464273,0.0005486148,0.001526736,0.0011095693,0.0012369368,0.00031929472,0.01311366],"category_scores_gemma":[0.0013489261,0.0001294478,0.000107782886,0.0019448472,0.00085175654,0.0013786657,0.0001554259,0.00020910958,0.4644166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000229266,0.0000032688429,0.0000036907622,0.0000051080774,0.0000024640874,5.22088e-7,0.00782465,0.000027195072,3.626594e-7,0.0044480925,0.9388459,0.04883648],"study_design_scores_gemma":[0.00004924707,0.000028906597,0.000036778456,0.00008079719,0.0000037700768,2.629485e-7,0.0027815679,0.000014640101,0.000011679972,0.0036102878,0.99319804,0.00018399752],"about_ca_topic_score_codex":0.009277279,"about_ca_topic_score_gemma":0.0010792104,"teacher_disagreement_score":0.45130295,"about_ca_system_score_codex":0.00006821722,"about_ca_system_score_gemma":0.0007919784,"threshold_uncertainty_score":0.9999274},"labels":[],"label_agreement":null},{"id":"W4388179111","doi":"10.1111/deci.12619","title":"The role of generative design and additive manufacturing capabilities in developing human–AI symbiosis: Evidence from multiple case studies","year":2023,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generative grammar; Computer science; Knowledge management; Set (abstract data type); Coronavirus disease 2019 (COVID-19); Valuation (finance); Mechanism (biology); Artificial intelligence; Business","score_opus":0.126551323755345,"score_gpt":0.37904600938547645,"score_spread":0.25249468563013144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388179111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900103,0.0039100694,0.005417942,0.0001945577,0.00022286578,0.00015149766,0.000005297076,0.000042072592,0.000045349752],"genre_scores_gemma":[0.9911415,0.0016665274,0.0070825666,0.000029616034,0.000020170066,0.000042705582,4.192614e-7,0.0000045724173,0.000011899039],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908507,0.00011999298,0.00023824816,0.00019014027,0.00021771733,0.00014883887],"domain_scores_gemma":[0.9881742,0.011575941,0.000046247194,0.000105637286,0.00007149742,0.000026502996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014938621,0.00008674761,0.0001228533,0.00013604546,0.00039249065,0.0001120785,0.0001561662,0.000024190753,0.000008568287],"category_scores_gemma":[0.0018929109,0.00005931746,0.000013100943,0.00040136464,0.00023153698,0.0004950852,0.000058631107,0.00007389378,0.000009991347],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011398397,0.00004845454,0.015630739,0.00008381932,0.00023291243,0.0002580315,0.20447838,0.08373092,0.03318298,0.0038129508,0.0072053317,0.6512215],"study_design_scores_gemma":[0.00029188412,0.00009139415,0.02916876,0.000727762,0.00002065843,0.00006220788,0.20798105,0.09241933,0.61506075,0.0515482,0.0021932086,0.0004347888],"about_ca_topic_score_codex":0.00012265194,"about_ca_topic_score_gemma":0.000257168,"teacher_disagreement_score":0.6507867,"about_ca_system_score_codex":0.00004024285,"about_ca_system_score_gemma":0.000047343183,"threshold_uncertainty_score":0.30187604},"labels":[],"label_agreement":null},{"id":"W4389955740","doi":"10.1111/deci.12572","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Chinese Academy of Sciences; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Memorial University of Newfoundland; Universität zu Köln; Shanghai Jiao Tong University; Tongji University; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; Universität Zürich; Honam University; University of North Carolina at Charlotte; Chung-Ang University; Texas Christian University; Nanyang Technological University; Southern Methodist University; Temple University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Kennesaw State University; Santa Clara University; University of Melbourne; Iowa State University; University of Oregon; Queen's University; University of Texas at Arlington; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Utah State University; Rutgers, The State University of New Jersey; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Portland State University; Imperial College London; Washington State University; Webster University; Oklahoma State University; University of Minnesota; South China University of Technology; Erasmus Universiteit Rotterdam; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Wisconsin-Madison; Syracuse University; Chinese Academy of Sciences; University of Pennsylvania; Georgia Southern University; University of Connecticut; George Mason University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.09316785960520009,"score_gpt":0.46586661310033073,"score_spread":0.37269875349513065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389955740","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00052560185,0.00040520306,0.00018603209,0.0048489408,0.016731715,0.00021601534,0.00008480985,0.00011379413,0.9768879],"genre_scores_gemma":[0.0027994092,0.0040926416,0.00091062393,0.0019928582,0.0039982176,0.000030308645,0.00006119033,0.000014538381,0.9861002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692875,0.00011143022,0.00040152043,0.00027751268,0.001789273,0.0004915392],"domain_scores_gemma":[0.99832696,0.00087666634,0.00022536631,0.00020962187,0.00018779465,0.00017356811],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022994513,0.00017046946,0.00026464273,0.0005486148,0.001526736,0.0011095693,0.0012369368,0.00031929472,0.01311366],"category_scores_gemma":[0.0013489261,0.0001294478,0.000107782886,0.0019448472,0.00085175654,0.0013786657,0.0001554259,0.00020910958,0.4644166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000229266,0.0000032688429,0.0000036907622,0.0000051080774,0.0000024640874,5.22088e-7,0.00782465,0.000027195072,3.626594e-7,0.0044480925,0.9388459,0.04883648],"study_design_scores_gemma":[0.00004924707,0.000028906597,0.000036778456,0.00008079719,0.0000037700768,2.629485e-7,0.0027815679,0.000014640101,0.000011679972,0.0036102878,0.99319804,0.00018399752],"about_ca_topic_score_codex":0.009277279,"about_ca_topic_score_gemma":0.0010792104,"teacher_disagreement_score":0.45130295,"about_ca_system_score_codex":0.00006821722,"about_ca_system_score_gemma":0.0007919784,"threshold_uncertainty_score":0.9999274},"labels":[],"label_agreement":null},{"id":"W4391656328","doi":"10.1111/deci.12601","title":"Issue Information","year":2024,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Chinese Academy of Sciences; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Memorial University of Newfoundland; Universität zu Köln; Shanghai Jiao Tong University; Tongji University; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; Universität Zürich; Honam University; University of North Carolina at Charlotte; Chung-Ang University; Texas Christian University; Nanyang Technological University; Southern Methodist University; Temple University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Kennesaw State University; Santa Clara University; University of Melbourne; Iowa State University; University of Oregon; Queen's University; University of Texas at Arlington; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Utah State University; Rutgers, The State University of New Jersey; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Portland State University; Imperial College London; Washington State University; Webster University; Oklahoma State University; University of Minnesota; South China University of Technology; Erasmus Universiteit Rotterdam; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Wisconsin-Madison; Syracuse University; Chinese Academy of Sciences; University of Pennsylvania; Georgia Southern University; University of Connecticut; George Mason University","keywords":"Deci-; Computer science; Citation; Information retrieval; World Wide Web; Political science; Law","score_opus":0.06257767095915266,"score_gpt":0.45642575841424887,"score_spread":0.3938480874550962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391656328","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040692187,0.002962954,0.00017522041,0.006301917,0.019854803,0.0001929637,0.00008594135,0.00007523355,0.96994406],"genre_scores_gemma":[0.0077632233,0.0041866857,0.0012076481,0.0025538974,0.005167016,0.000025723897,0.0000408503,0.000012778365,0.9790422],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99718064,0.00008579552,0.00038593504,0.00030288755,0.0016198828,0.0004248408],"domain_scores_gemma":[0.998879,0.00047889855,0.00014012061,0.00018918166,0.00014863706,0.00016416563],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018521666,0.00018115212,0.0002472879,0.0005233299,0.0010206796,0.0019404583,0.0010721452,0.00031615014,0.019655738],"category_scores_gemma":[0.0005846676,0.00012926593,0.00012249751,0.0014750981,0.000849337,0.0013796502,0.00015532481,0.00027501705,0.4079671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019124886,0.0000032951987,0.0000013785494,0.000011528393,0.0000032771084,7.5977937e-7,0.009972683,0.0000109566745,5.280839e-7,0.01300986,0.91849977,0.058484055],"study_design_scores_gemma":[0.000030084057,0.00002981118,0.0000046065516,0.00015031493,0.000007423246,6.6869467e-7,0.0020675191,0.00001536932,0.000019218822,0.007936668,0.98955286,0.00018546432],"about_ca_topic_score_codex":0.0053180894,"about_ca_topic_score_gemma":0.00052442873,"teacher_disagreement_score":0.38831136,"about_ca_system_score_codex":0.00008124309,"about_ca_system_score_gemma":0.0009329452,"threshold_uncertainty_score":0.9990956},"labels":[],"label_agreement":null},{"id":"W4394722611","doi":"10.1111/deci.12602","title":"Issue Information","year":2024,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Chinese Academy of Sciences; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Memorial University of Newfoundland; Universität zu Köln; Shanghai Jiao Tong University; Tongji University; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; Universität Zürich; Honam University; University of North Carolina at Charlotte; Chung-Ang University; Texas Christian University; Nanyang Technological University; Southern Methodist University; Temple University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Kennesaw State University; Santa Clara University; University of Melbourne; Iowa State University; University of Oregon; Queen's University; University of Texas at Arlington; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Utah State University; Rutgers, The State University of New Jersey; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Portland State University; Imperial College London; Washington State University; Webster University; Oklahoma State University; University of Minnesota; South China University of Technology; Erasmus Universiteit Rotterdam; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Wisconsin-Madison; Syracuse University; Chinese Academy of Sciences; University of Pennsylvania; Georgia Southern University; University of Connecticut; George Mason University","keywords":"Computer science; Business","score_opus":0.04627943957152341,"score_gpt":0.35530445437717795,"score_spread":0.30902501480565453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394722611","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025434783,0.0013009065,0.018090315,0.0001111636,0.056999914,0.00018795831,0.0000619287,0.00029197216,0.92041236],"genre_scores_gemma":[0.025200957,0.007548172,0.009794973,0.0017862412,0.0131157935,0.00017849973,0.0009369241,0.00014080724,0.94129765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862987,0.000011457262,0.00032536837,0.00015857135,0.0007202138,0.00015455039],"domain_scores_gemma":[0.9996365,0.00006438251,0.000035402754,0.00015309201,0.000056864817,0.000053765612],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005552118,0.0001520022,0.000145948,0.00051330705,0.00012260018,0.000537482,0.00029328797,0.00016925303,0.2052813],"category_scores_gemma":[0.000044678887,0.00012206723,0.000062329585,0.00045584535,0.00007812861,0.000644262,0.00003677457,0.00019769972,0.8829503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.914381e-7,8.6806244e-7,1.0798578e-7,0.000031191314,0.0000026578596,1.3444169e-7,0.00026915508,0.019076878,0.000022769354,0.000007718384,0.90940255,0.071185455],"study_design_scores_gemma":[0.000035479432,0.000015282678,0.000029733443,0.00011916653,0.000005571203,0.0000016769973,0.00011687565,0.030448107,0.00003246051,0.00033464024,0.96871114,0.00014986697],"about_ca_topic_score_codex":5.1437536e-7,"about_ca_topic_score_gemma":0.0000027870317,"teacher_disagreement_score":0.677669,"about_ca_system_score_codex":0.000076281365,"about_ca_system_score_gemma":0.000059695154,"threshold_uncertainty_score":0.79544514},"labels":[],"label_agreement":null},{"id":"W4400663039","doi":"10.1111/deci.12640","title":"Sharing is caring: Designing incentive rebate strategies for information‐sharing alliances","year":2024,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Information sharing; Incentive; Business; Knowledge management; Computer science; Microeconomics; Economics","score_opus":0.06220977951451623,"score_gpt":0.3390407665964135,"score_spread":0.2768309870818973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400663039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02174589,0.00029900236,0.9583696,0.00045546406,0.0011641195,0.00022016758,0.000006186996,0.00028555596,0.017453995],"genre_scores_gemma":[0.8968197,0.00005152505,0.102016784,0.00088867266,0.0000582995,0.00003871148,0.000003048567,0.000004239982,0.0001189877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980637,0.000008857405,0.00046942505,0.00041828406,0.0006863429,0.00035342982],"domain_scores_gemma":[0.99902713,0.00027599704,0.00011510354,0.00030696337,0.00019263053,0.00008217908],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0015843913,0.00014574667,0.00013942333,0.00037377575,0.00069551694,0.0062614153,0.0018528161,0.00005380201,0.000025802261],"category_scores_gemma":[0.00009938374,0.00011569191,0.000090876,0.0011993742,0.000107280095,0.0140034435,0.00050898496,0.000118864096,0.00018286992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055439223,0.0000058599467,0.00030722067,0.000044058852,0.00001050173,0.0000019853471,0.018401287,0.0012569622,0.00003319129,0.8744594,0.0023664646,0.10310752],"study_design_scores_gemma":[0.00019264004,0.000063156134,0.00051192555,0.00025321473,0.000004271078,0.0000083069435,0.0026401784,0.7664802,0.0017611082,0.17271858,0.055104338,0.00026205313],"about_ca_topic_score_codex":0.000029552844,"about_ca_topic_score_gemma":0.000008703832,"teacher_disagreement_score":0.87507385,"about_ca_system_score_codex":0.000051789466,"about_ca_system_score_gemma":0.00023257104,"threshold_uncertainty_score":0.9997872},"labels":[],"label_agreement":null},{"id":"W4402772915","doi":"10.1111/deci.12604","title":"Issue Information","year":2024,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Chinese Academy of Sciences; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Memorial University of Newfoundland; Universität zu Köln; Shanghai Jiao Tong University; Tongji University; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; Universität Zürich; Honam University; University of North Carolina at Charlotte; Chung-Ang University; Texas Christian University; Nanyang Technological University; Southern Methodist University; Temple University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Kennesaw State University; Santa Clara University; University of Melbourne; Iowa State University; University of Oregon; Queen's University; University of Texas at Arlington; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Utah State University; Rutgers, The State University of New Jersey; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Portland State University; Imperial College London; Washington State University; Webster University; Oklahoma State University; University of Minnesota; South China University of Technology; Erasmus Universiteit Rotterdam; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Wisconsin-Madison; Syracuse University; Chinese Academy of Sciences; University of Pennsylvania; Georgia Southern University; University of Connecticut; George Mason University","keywords":"Computer science; Knowledge management; Business; Process management","score_opus":0.04627943957152341,"score_gpt":0.35530445437717795,"score_spread":0.30902501480565453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402772915","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025434783,0.0013009065,0.018090315,0.0001111636,0.056999914,0.00018795831,0.0000619287,0.00029197216,0.92041236],"genre_scores_gemma":[0.025200957,0.007548172,0.009794973,0.0017862412,0.0131157935,0.00017849973,0.0009369241,0.00014080724,0.94129765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862987,0.000011457262,0.00032536837,0.00015857135,0.0007202138,0.00015455039],"domain_scores_gemma":[0.9996365,0.00006438251,0.000035402754,0.00015309201,0.000056864817,0.000053765612],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005552118,0.0001520022,0.000145948,0.00051330705,0.00012260018,0.000537482,0.00029328797,0.00016925303,0.2052813],"category_scores_gemma":[0.000044678887,0.00012206723,0.000062329585,0.00045584535,0.00007812861,0.000644262,0.00003677457,0.00019769972,0.8829503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.914381e-7,8.6806244e-7,1.0798578e-7,0.000031191314,0.0000026578596,1.3444169e-7,0.00026915508,0.019076878,0.000022769354,0.000007718384,0.90940255,0.071185455],"study_design_scores_gemma":[0.000035479432,0.000015282678,0.000029733443,0.00011916653,0.000005571203,0.0000016769973,0.00011687565,0.030448107,0.00003246051,0.00033464024,0.96871114,0.00014986697],"about_ca_topic_score_codex":5.1437536e-7,"about_ca_topic_score_gemma":0.0000027870317,"teacher_disagreement_score":0.677669,"about_ca_system_score_codex":0.000076281365,"about_ca_system_score_gemma":0.000059695154,"threshold_uncertainty_score":0.79544514},"labels":[],"label_agreement":null},{"id":"W4404235059","doi":"10.1111/deci.12605","title":"Issue Information","year":2024,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Chinese Academy of Sciences; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Memorial University of Newfoundland; Universität zu Köln; Shanghai Jiao Tong University; Tongji University; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; University of North Carolina at Charlotte; Chung-Ang University; Texas Christian University; Nanyang Technological University; Southern Methodist University; Temple University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Kennesaw State University; Universität Zürich; Honam University; Santa Clara University; University of Melbourne; Iowa State University; University of Oregon; Queen's University; University of Texas at Arlington; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Portland State University; Imperial College London; Washington State University; Webster University; Oklahoma State University; University of Minnesota; South China University of Technology; Erasmus Universiteit Rotterdam; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Wisconsin-Madison; Syracuse University; Chinese Academy of Sciences; Utah State University; University of Pennsylvania; Georgia Southern University; University of Connecticut; George Mason University","keywords":"Computer science; Business; Knowledge management","score_opus":0.04627943957152341,"score_gpt":0.35530445437717795,"score_spread":0.30902501480565453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404235059","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025434783,0.0013009065,0.018090315,0.0001111636,0.056999914,0.00018795831,0.0000619287,0.00029197216,0.92041236],"genre_scores_gemma":[0.025200957,0.007548172,0.009794973,0.0017862412,0.0131157935,0.00017849973,0.0009369241,0.00014080724,0.94129765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862987,0.000011457262,0.00032536837,0.00015857135,0.0007202138,0.00015455039],"domain_scores_gemma":[0.9996365,0.00006438251,0.000035402754,0.00015309201,0.000056864817,0.000053765612],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005552118,0.0001520022,0.000145948,0.00051330705,0.00012260018,0.000537482,0.00029328797,0.00016925303,0.2052813],"category_scores_gemma":[0.000044678887,0.00012206723,0.000062329585,0.00045584535,0.00007812861,0.000644262,0.00003677457,0.00019769972,0.8829503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.914381e-7,8.6806244e-7,1.0798578e-7,0.000031191314,0.0000026578596,1.3444169e-7,0.00026915508,0.019076878,0.000022769354,0.000007718384,0.90940255,0.071185455],"study_design_scores_gemma":[0.000035479432,0.000015282678,0.000029733443,0.00011916653,0.000005571203,0.0000016769973,0.00011687565,0.030448107,0.00003246051,0.00033464024,0.96871114,0.00014986697],"about_ca_topic_score_codex":5.1437536e-7,"about_ca_topic_score_gemma":0.0000027870317,"teacher_disagreement_score":0.677669,"about_ca_system_score_codex":0.000076281365,"about_ca_system_score_gemma":0.000059695154,"threshold_uncertainty_score":0.79544514},"labels":[],"label_agreement":null},{"id":"W4404620139","doi":"10.1111/deci.12658","title":"Explanation seeking and anomalous recommendation adherence in human‐to‐human versus human‐to‐artificial intelligence interactions","year":2024,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Queen's University","funders":"","keywords":"Loss aversion; Set (abstract data type); Sunk costs; Preference; Computer science; Recommender system; Risk aversion (psychology); Bayesian inference; Human intelligence; Psychology; Artificial intelligence; Bayesian probability; Machine learning; Microeconomics; Economics; Expected utility hypothesis","score_opus":0.42825543025349877,"score_gpt":0.5369649849622157,"score_spread":0.1087095547087169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404620139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95025474,0.000037239854,0.04247229,0.0011008993,0.002855089,0.00033330472,0.000023883009,0.00009030375,0.0028322483],"genre_scores_gemma":[0.9943012,0.0000059236913,0.0051670484,0.00016496197,0.00015235308,0.000037988564,0.000008816449,0.000015142224,0.00014659451],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99508256,0.0001584239,0.001546199,0.0015277012,0.0012430613,0.00044204274],"domain_scores_gemma":[0.99531937,0.0034568629,0.00021677685,0.0004874812,0.00024908854,0.00027040578],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0064722076,0.00026590616,0.00037672083,0.002760384,0.0010816681,0.0032995765,0.0012215552,0.00010423113,0.0011249566],"category_scores_gemma":[0.0025309594,0.00022019495,0.0001022271,0.0036713637,0.00022984055,0.0016429351,0.0004983136,0.00031049122,0.0010996886],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044273933,0.00006227806,0.0010179902,0.0000015963658,0.0000025307213,0.00001799149,0.0013652353,0.00057316123,0.0043242592,0.008265671,0.0016359314,0.9826891],"study_design_scores_gemma":[0.0004115217,0.0023783664,0.01808347,0.0008831272,0.000031486514,0.00006657654,0.013609317,0.03929663,0.0031428046,0.8792916,0.041419126,0.0013859716],"about_ca_topic_score_codex":0.00028700565,"about_ca_topic_score_gemma":0.0035404684,"teacher_disagreement_score":0.9813031,"about_ca_system_score_codex":0.00021630737,"about_ca_system_score_gemma":0.00009576217,"threshold_uncertainty_score":0.99978817},"labels":[],"label_agreement":null},{"id":"W4405505782","doi":"10.1111/deci.12606","title":"Issue Information","year":2024,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Hainan University; Memorial University of Newfoundland; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; Universität Zürich; Honam University; University of North Carolina at Charlotte; Chung-Ang University; Chinese Academy of Sciences; South China University of Technology; Erasmus Universiteit Rotterdam; Monash University; University of Chinese Academy of Sciences; Durham University; Southern Methodist University; Webster University; San José State University; Universitetet i Stavanger; Universität zu Köln; Shanghai Jiao Tong University; James Madison University; University of Alabama; Temple University; Kennesaw State University; Santa Clara University; University of Melbourne; Iowa State University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Nazarbayev University; Seoul National University; University of North Texas; University of Oregon; Queen's University; University of Texas at Arlington; Oregon State University; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Utah State University; Rutgers, The State University of New Jersey; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Washington State University; Oklahoma State University; University of Minnesota; Tongji University; Lehigh University; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Nevada, Reno; University of Wisconsin-Madison; Syracuse University; West Virginia University; University of Pennsylvania; Georgia Southern University; University of Connecticut; Donghua University; Nanyang Technological University; Texas Christian University; Imperial College London; Portland State University; York University; George Mason University","keywords":"Computer science; Business; Knowledge management","score_opus":0.04627943957152341,"score_gpt":0.35530445437717795,"score_spread":0.30902501480565453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405505782","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025434783,0.0013009065,0.018090315,0.0001111636,0.056999914,0.00018795831,0.0000619287,0.00029197216,0.92041236],"genre_scores_gemma":[0.025200957,0.007548172,0.009794973,0.0017862412,0.0131157935,0.00017849973,0.0009369241,0.00014080724,0.94129765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862987,0.000011457262,0.00032536837,0.00015857135,0.0007202138,0.00015455039],"domain_scores_gemma":[0.9996365,0.00006438251,0.000035402754,0.00015309201,0.000056864817,0.000053765612],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005552118,0.0001520022,0.000145948,0.00051330705,0.00012260018,0.000537482,0.00029328797,0.00016925303,0.2052813],"category_scores_gemma":[0.000044678887,0.00012206723,0.000062329585,0.00045584535,0.00007812861,0.000644262,0.00003677457,0.00019769972,0.8829503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.914381e-7,8.6806244e-7,1.0798578e-7,0.000031191314,0.0000026578596,1.3444169e-7,0.00026915508,0.019076878,0.000022769354,0.000007718384,0.90940255,0.071185455],"study_design_scores_gemma":[0.000035479432,0.000015282678,0.000029733443,0.00011916653,0.000005571203,0.0000016769973,0.00011687565,0.030448107,0.00003246051,0.00033464024,0.96871114,0.00014986697],"about_ca_topic_score_codex":5.1437536e-7,"about_ca_topic_score_gemma":0.0000027870317,"teacher_disagreement_score":0.677669,"about_ca_system_score_codex":0.000076281365,"about_ca_system_score_gemma":0.000059695154,"threshold_uncertainty_score":0.79544514},"labels":[],"label_agreement":null},{"id":"W4407415688","doi":"10.1111/deci.12634","title":"Issue Information","year":2025,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Denver; California State University, Fullerton; University of Colorado Boulder; Southern University of Science and Technology; University of Chinese Academy of Sciences; University of Science and Technology of China; Universidad Carlos III de Madrid; Thammasat University; Memorial University of Newfoundland; Universität zu Köln; Shanghai Jiao Tong University; Tongji University; University of Hong Kong; Fudan University; College of Engineering, Michigan State University; Dalhousie University; Aalto-Yliopisto; Xiamen University; Sungkyunkwan University; Korea University; Universität Zürich; Honam University; University of North Carolina at Charlotte; Chung-Ang University; Texas Christian University; Nanyang Technological University; Southern Methodist University; Temple University; Nanjing Institute of Technology; Universiteit van Tilburg; Hong Kong Polytechnic University; Old Dominion University; Kennesaw State University; Santa Clara University; University of Melbourne; Iowa State University; University of Oregon; Queen's University; University of Texas at Arlington; University of Miami; University of South Carolina; University of Washington; Université du Luxembourg; Georgia State University; University of South Florida; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Villanova University; Auburn University; Michigan State University; Utah State University; Rutgers, The State University of New Jersey; Lingnan University; Ohio State University; University of St. Thomas; Tianjin University; Boise State University; Portland State University; Imperial College London; Washington State University; Webster University; Oklahoma State University; University of Minnesota; South China University of Technology; Erasmus Universiteit Rotterdam; Universität Hamburg; Renmin University of China; Northern Illinois University; City, University of London; Virginia Commonwealth University; Arizona State University; University of Wisconsin-Madison; Syracuse University; Chinese Academy of Sciences; University of Pennsylvania; Georgia Southern University; University of Connecticut; George Mason University","keywords":"Computer science; Business; Process management","score_opus":0.03806923861781844,"score_gpt":0.35163896184591975,"score_spread":0.3135697232281013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407415688","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008792589,0.0003505323,0.043623254,0.00007069816,0.02638023,0.00016385409,0.00003996152,0.00012902706,0.9283632],"genre_scores_gemma":[0.006051382,0.004168733,0.009345863,0.0018814943,0.003545609,0.00010693225,0.00064737536,0.00003378602,0.97421885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875104,0.000016049276,0.00033495633,0.00014016169,0.0006081163,0.0001496984],"domain_scores_gemma":[0.99954075,0.000101852005,0.000051101913,0.00017620616,0.00008744946,0.00004265358],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005117671,0.0001422577,0.00016170068,0.0005418556,0.00018042682,0.0002935133,0.00035299594,0.00017578268,0.199644],"category_scores_gemma":[0.00009083887,0.0001219681,0.000054343724,0.00048198627,0.00007244446,0.00060346886,0.000036525464,0.00015217646,0.56453013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.676135e-7,0.0000012450317,4.1454578e-7,0.000020159407,0.0000021113924,3.5646476e-8,0.00012015317,0.02718067,0.00001042999,0.0000054007855,0.87289786,0.09976077],"study_design_scores_gemma":[0.00006769382,0.000011551452,0.000109272834,0.00010504744,0.000004039254,4.1641994e-7,0.00009507895,0.020104378,0.000035105724,0.00012233175,0.9792127,0.00013240543],"about_ca_topic_score_codex":7.06974e-7,"about_ca_topic_score_gemma":0.0000024743551,"teacher_disagreement_score":0.36488616,"about_ca_system_score_codex":0.0000739852,"about_ca_system_score_gemma":0.000092434006,"threshold_uncertainty_score":0.8010876},"labels":[],"label_agreement":null},{"id":"W4411237103","doi":"10.1111/deci.12636","title":"Issue Information","year":2025,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Boulder; College of Engineering, Michigan State University; Southern University of Science and Technology; Nanjing Institute of Technology; Universiteit van Tilburg; Universität Hamburg; University of Alabama; Shanghai Jiao Tong University; Fudan University; Aalto-Yliopisto; Korea University; University of North Texas; Seoul National University; Texas Christian University; Nanyang Technological University; Norges Teknisk-Naturvitenskapelige Universitet; Southern Methodist University; University of Miami; University of South Carolina; Queen's University; Oregon State University; Honam University; Monash University; Santa Clara University; Tongji University; University of Nevada, Reno; University of Wisconsin-Madison; Arizona State University; City, University of London; Virginia Commonwealth University; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Michigan State University; Newcastle University; Georgia State University; University of Melbourne; Portland State University; Erasmus Universiteit Rotterdam; University of Washington; Auburn University; Tianjin University; Loyola University Chicago; Hainan University; University of Minnesota; Technische Universität München; Chinese Academy of Sciences; West Virginia University; University of Connecticut; Lingnan University; Ohio State University; University of Hong Kong; Syracuse University; University of Chinese Academy of Sciences; Durham University; York University","keywords":"Computer science","score_opus":0.03806923861781844,"score_gpt":0.35163896184591975,"score_spread":0.3135697232281013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411237103","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008792589,0.0003505323,0.043623254,0.00007069816,0.02638023,0.00016385409,0.00003996152,0.00012902706,0.9283632],"genre_scores_gemma":[0.006051382,0.004168733,0.009345863,0.0018814943,0.003545609,0.00010693225,0.00064737536,0.00003378602,0.97421885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875104,0.000016049276,0.00033495633,0.00014016169,0.0006081163,0.0001496984],"domain_scores_gemma":[0.99954075,0.000101852005,0.000051101913,0.00017620616,0.00008744946,0.00004265358],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005117671,0.0001422577,0.00016170068,0.0005418556,0.00018042682,0.0002935133,0.00035299594,0.00017578268,0.199644],"category_scores_gemma":[0.00009083887,0.0001219681,0.000054343724,0.00048198627,0.00007244446,0.00060346886,0.000036525464,0.00015217646,0.56453013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.676135e-7,0.0000012450317,4.1454578e-7,0.000020159407,0.0000021113924,3.5646476e-8,0.00012015317,0.02718067,0.00001042999,0.0000054007855,0.87289786,0.09976077],"study_design_scores_gemma":[0.00006769382,0.000011551452,0.000109272834,0.00010504744,0.000004039254,4.1641994e-7,0.00009507895,0.020104378,0.000035105724,0.00012233175,0.9792127,0.00013240543],"about_ca_topic_score_codex":7.06974e-7,"about_ca_topic_score_gemma":0.0000024743551,"teacher_disagreement_score":0.36488616,"about_ca_system_score_codex":0.0000739852,"about_ca_system_score_gemma":0.000092434006,"threshold_uncertainty_score":0.8010876},"labels":[],"label_agreement":null},{"id":"W4413959085","doi":"10.1111/deci.12637","title":"Issue Information","year":2025,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Boulder; College of Engineering, Michigan State University; Southern University of Science and Technology; Nanjing Institute of Technology; Universiteit van Tilburg; University of Alabama; Shanghai Jiao Tong University; Fudan University; Aalto-Yliopisto; Korea University; University of North Texas; Seoul National University; Texas Christian University; Nanyang Technological University; Norges Teknisk-Naturvitenskapelige Universitet; Southern Methodist University; University of Miami; University of South Carolina; Queen's University; Oregon State University; Honam University; Monash University; Santa Clara University; Tongji University; University of Nevada, Reno; University of Wisconsin-Madison; Arizona State University; City, University of London; Virginia Commonwealth University; Universität Hamburg; University of Nebraska-Lincoln; University of Notre Dame; Michigan State University; Newcastle University; Georgia State University; University of Melbourne; Portland State University; University of Cincinnati; Erasmus Universiteit Rotterdam; University of Washington; Auburn University; Tianjin University; Loyola University Chicago; Hainan University; University of Minnesota; Technische Universität München; Chinese Academy of Sciences; West Virginia University; University of Connecticut; Lingnan University; Ohio State University; University of Hong Kong; Syracuse University; University of Chinese Academy of Sciences; Durham University; York University","keywords":"Computer science; Business","score_opus":0.03806923861781844,"score_gpt":0.35163896184591975,"score_spread":0.3135697232281013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413959085","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008792589,0.0003505323,0.043623254,0.00007069816,0.02638023,0.00016385409,0.00003996152,0.00012902706,0.9283632],"genre_scores_gemma":[0.006051382,0.004168733,0.009345863,0.0018814943,0.003545609,0.00010693225,0.00064737536,0.00003378602,0.97421885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875104,0.000016049276,0.00033495633,0.00014016169,0.0006081163,0.0001496984],"domain_scores_gemma":[0.99954075,0.000101852005,0.000051101913,0.00017620616,0.00008744946,0.00004265358],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005117671,0.0001422577,0.00016170068,0.0005418556,0.00018042682,0.0002935133,0.00035299594,0.00017578268,0.199644],"category_scores_gemma":[0.00009083887,0.0001219681,0.000054343724,0.00048198627,0.00007244446,0.00060346886,0.000036525464,0.00015217646,0.56453013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.676135e-7,0.0000012450317,4.1454578e-7,0.000020159407,0.0000021113924,3.5646476e-8,0.00012015317,0.02718067,0.00001042999,0.0000054007855,0.87289786,0.09976077],"study_design_scores_gemma":[0.00006769382,0.000011551452,0.000109272834,0.00010504744,0.000004039254,4.1641994e-7,0.00009507895,0.020104378,0.000035105724,0.00012233175,0.9792127,0.00013240543],"about_ca_topic_score_codex":7.06974e-7,"about_ca_topic_score_gemma":0.0000024743551,"teacher_disagreement_score":0.36488616,"about_ca_system_score_codex":0.0000739852,"about_ca_system_score_gemma":0.000092434006,"threshold_uncertainty_score":0.8010876},"labels":[],"label_agreement":null},{"id":"W4415396841","doi":"10.1111/deci.12638","title":"Issue Information","year":2025,"lang":"en","type":"paratext","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Boulder; College of Engineering, Michigan State University; Southern University of Science and Technology; Nanjing Institute of Technology; Universiteit van Tilburg; University of Alabama; Shanghai Jiao Tong University; Fudan University; Aalto-Yliopisto; Korea University; University of North Texas; Seoul National University; Texas Christian University; Nanyang Technological University; Norges Teknisk-Naturvitenskapelige Universitet; Southern Methodist University; University of Miami; University of South Carolina; Queen's University; Oregon State University; Honam University; Monash University; Santa Clara University; Tongji University; University of Nevada, Reno; University of Wisconsin-Madison; Arizona State University; City, University of London; Virginia Commonwealth University; Universität Hamburg; University of Nebraska-Lincoln; University of Notre Dame; Michigan State University; Newcastle University; Georgia State University; University of Melbourne; Portland State University; University of Cincinnati; Erasmus Universiteit Rotterdam; University of Washington; Auburn University; Tianjin University; Loyola University Chicago; Hainan University; University of Minnesota; Technische Universität München; Chinese Academy of Sciences; West Virginia University; University of Connecticut; Lingnan University; Ohio State University; University of Hong Kong; Syracuse University; University of Chinese Academy of Sciences; Durham University; York University","keywords":"","score_opus":0.03806923861781844,"score_gpt":0.35163896184591975,"score_spread":0.3135697232281013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415396841","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008792589,0.0003505323,0.043623254,0.00007069816,0.02638023,0.00016385409,0.00003996152,0.00012902706,0.9283632],"genre_scores_gemma":[0.006051382,0.004168733,0.009345863,0.0018814943,0.003545609,0.00010693225,0.00064737536,0.00003378602,0.97421885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875104,0.000016049276,0.00033495633,0.00014016169,0.0006081163,0.0001496984],"domain_scores_gemma":[0.99954075,0.000101852005,0.000051101913,0.00017620616,0.00008744946,0.00004265358],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005117671,0.0001422577,0.00016170068,0.0005418556,0.00018042682,0.0002935133,0.00035299594,0.00017578268,0.199644],"category_scores_gemma":[0.00009083887,0.0001219681,0.000054343724,0.00048198627,0.00007244446,0.00060346886,0.000036525464,0.00015217646,0.56453013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.676135e-7,0.0000012450317,4.1454578e-7,0.000020159407,0.0000021113924,3.5646476e-8,0.00012015317,0.02718067,0.00001042999,0.0000054007855,0.87289786,0.09976077],"study_design_scores_gemma":[0.00006769382,0.000011551452,0.000109272834,0.00010504744,0.000004039254,4.1641994e-7,0.00009507895,0.020104378,0.000035105724,0.00012233175,0.9792127,0.00013240543],"about_ca_topic_score_codex":7.06974e-7,"about_ca_topic_score_gemma":0.0000024743551,"teacher_disagreement_score":0.36488616,"about_ca_system_score_codex":0.0000739852,"about_ca_system_score_gemma":0.000092434006,"threshold_uncertainty_score":0.8010876},"labels":[],"label_agreement":null},{"id":"W7116868327","doi":"10.1111/deci.12639","title":"Issue Information","year":2025,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Colorado Boulder; College of Engineering, Michigan State University; Southern University of Science and Technology; Nanjing Institute of Technology; Universiteit van Tilburg; Universität Hamburg; University of Alabama; Shanghai Jiao Tong University; Fudan University; Aalto-Yliopisto; Korea University; University of North Texas; Seoul National University; Texas Christian University; Nanyang Technological University; Norges Teknisk-Naturvitenskapelige Universitet; Southern Methodist University; University of Miami; University of South Carolina; Queen's University; Oregon State University; Honam University; Monash University; Santa Clara University; Tongji University; University of Nevada, Reno; University of Wisconsin-Madison; Arizona State University; City, University of London; Virginia Commonwealth University; University of Cincinnati; Pennsylvania State University; University of Nebraska-Lincoln; University of Notre Dame; Michigan State University; Newcastle University; Georgia State University; University of Melbourne; Portland State University; Erasmus Universiteit Rotterdam; University of Washington; Auburn University; Tianjin University; Loyola University Chicago; Hainan University; University of Minnesota; Technische Universität München; Chinese Academy of Sciences; West Virginia University; University of Connecticut; Lingnan University; Ohio State University; University of Hong Kong; Syracuse University; University of Chinese Academy of Sciences; Durham University; York University","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","score_opus":0.025490403316041944,"score_gpt":0.3365225789415954,"score_spread":0.3110321756255534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116868327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39111966,0.00007662609,0.24749632,0.0003379458,0.006050407,0.000120252866,0.0000017481595,0.00035189503,0.35444516],"genre_scores_gemma":[0.9926184,0.000048710543,0.0050784606,0.0007020757,0.00011083466,0.000008953265,0.0000032894775,0.0000020387115,0.0014272787],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955773,0.0000050346707,0.00012290655,0.00004604007,0.0002050443,0.0000632128],"domain_scores_gemma":[0.99983656,0.00004276532,0.000008658687,0.00006576653,0.000030396954,0.00001581978],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036206737,0.000033730357,0.000036575744,0.00019289572,0.00010858176,0.000099337914,0.00011165273,0.000022168018,0.0063997707],"category_scores_gemma":[0.0000755506,0.000027887429,0.000013688408,0.00035240574,0.000037188987,0.00051632855,0.000011110978,0.000027796472,0.014007741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012175256,0.0000021780672,0.00015156006,0.0000045799948,0.0000012352789,3.9097202e-8,0.0003100551,0.025981598,0.0003498041,0.00047679746,0.5208071,0.45191386],"study_design_scores_gemma":[0.00009315251,0.000007737488,0.01793362,0.000018369932,0.0000014418396,2.4775494e-7,0.00028146224,0.11625238,0.0002891318,0.0032718913,0.86179864,0.000051914714],"about_ca_topic_score_codex":2.1282582e-7,"about_ca_topic_score_gemma":0.000002258307,"teacher_disagreement_score":0.6014987,"about_ca_system_score_codex":0.000020688221,"about_ca_system_score_gemma":0.000014448446,"threshold_uncertainty_score":0.9945085},"labels":[],"label_agreement":null}]}