{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"4ed14b93434d","filters":{"venue":"Information Resources Management Journal"}},"results":[{"id":"W2068768371","doi":"10.4018/irmj.2006010104","title":"Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management","year":2006,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":188,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of British Columbia; University of Hong Kong; City University of Hong Kong","keywords":"Knowledge management; Knowledge acquisition; Bottleneck; Computer science; Personal knowledge management; Task (project management); Open Knowledge Base Connectivity; Knowledge value chain; Knowledge engineering; Domain knowledge; Organizational learning; Data science; Engineering; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01094526429119255,"gpt":0.2900612215107731,"spread":0.2791159572195806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001466517,0.000144003,0.000100121,0.0002677527,0.002248129,0.001158932,0.0004638202,0.00006956672,0.0006593963],"category_scores_gemma":[0.00001444193,0.0001196886,0.00008659881,0.0007814239,0.0001730667,0.002106542,0.00008789861,0.0001753395,0.0006571545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090955,"about_ca_system_score_gemma":0.00008121129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006536536,"about_ca_topic_score_gemma":0.00009246807,"domain_scores_codex":[0.998019,0.0002667895,0.0005715013,0.0001164474,0.0007063967,0.0003198005],"domain_scores_gemma":[0.9988551,0.00007490356,0.0004352179,0.0001861671,0.0003854603,0.0000631708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002428702,0.0001186549,0.0005424235,0.00004761272,0.00007635974,0.00000185766,0.04385855,0.0006174947,7.246705e-7,0.8220358,0.1013389,0.03133732],"study_design_scores_gemma":[0.0005064102,0.00001198314,0.0114122,0.00004961301,0.00004605212,0.000005346467,0.05930728,0.0002660198,0.000004093108,0.01116707,0.9170793,0.0001446957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01061442,0.0002795567,0.009240494,0.004974725,0.001426447,0.0005255992,0.000003940903,0.0001075055,0.9728273],"genre_scores_gemma":[0.9815844,0.0003919725,0.001635894,0.00117806,0.001546523,0.00007080026,0.0000565493,0.00001087791,0.01352498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9709699,"threshold_uncertainty_score":0.999878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989262698","doi":"10.4018/irmj.2003040103","title":"Virtual Team Trust","year":2003,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Pennsylvania State University","keywords":"Construct (python library); Virtual team; Knowledge management; Context (archaeology); Psychology; Confirmatory factor analysis; Exploratory factor analysis; Process (computing); Cognition; Computer science; Applied psychology; Structural equation modeling","retraction":null,"screen_n_in":null,"score":{"opus":0.008028424233867175,"gpt":0.2503830584067515,"spread":0.2423546341728843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000629721,0.0001249437,0.0001036808,0.0003288233,0.0002823977,0.0002662083,0.0002476084,0.00005915602,0.003269295],"category_scores_gemma":[0.00001288408,0.0001093275,0.00007433914,0.0002027538,0.00003390897,0.0006661356,0.00003189045,0.0002769183,0.001756339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004979442,"about_ca_system_score_gemma":0.000007727186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003260865,"about_ca_topic_score_gemma":6.227291e-7,"domain_scores_codex":[0.9987924,0.00006424452,0.0004606869,0.00007540592,0.0003115374,0.0002957234],"domain_scores_gemma":[0.9993353,0.00001519207,0.0002796882,0.0002150466,0.00004931111,0.0001053889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001544506,0.000156105,0.01769873,0.00004180479,0.0003791439,0.00003289878,0.02196752,0.00212895,0.000001442364,0.5229521,0.1162861,0.3182008],"study_design_scores_gemma":[0.0009326879,0.00009948316,0.01324569,0.00001428533,0.00001793402,0.0001634718,0.008755377,0.0007695253,0.000001398666,0.0006628311,0.9751895,0.0001478343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2363409,0.00004544354,0.007794144,0.000118634,0.001086707,0.0001309344,0.000003652536,0.00004910729,0.7544305],"genre_scores_gemma":[0.9824794,0.00007226341,0.000723607,0.001214458,0.0001295172,0.0000153055,0.000008817105,0.00001072145,0.01534589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8589033,"threshold_uncertainty_score":0.9990209,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2768185635","doi":"10.4018/irmj.2018010103","title":"Roles of Organizational Climate, Social Bonds, and Perceptions of Security Threats on IS Security Policy Compliance Intentions","year":2017,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Information and Cyber Security","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Cape Breton University","funders":"","keywords":"Compliance (psychology); Perception; Business; Social security; Computer security; Public relations; Psychology; Social psychology; Political science; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01497549498040635,"gpt":0.2804710661290605,"spread":0.2654955711486542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004710102,0.0001345226,0.0001854756,0.000422341,0.00126777,0.0006302802,0.0008311647,0.00006223295,0.00007559789],"category_scores_gemma":[0.00004440788,0.0001271308,0.00008205372,0.0002177066,0.0001797397,0.002750075,0.0004782595,0.0002008559,0.00002710225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004946261,"about_ca_system_score_gemma":0.00003819819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000101792,"about_ca_topic_score_gemma":0.000008352529,"domain_scores_codex":[0.9983473,0.00004074815,0.0006559941,0.00009640989,0.0006565843,0.0002029123],"domain_scores_gemma":[0.9979974,0.0000170422,0.001085725,0.0003529511,0.0004655232,0.00008136694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003247271,0.0001352917,0.005722044,0.0002814417,0.00009535582,0.000001211602,0.05753241,0.00004403802,0.00001054202,0.91528,0.002497046,0.01836816],"study_design_scores_gemma":[0.005547248,0.0004858339,0.6214474,0.0008278459,0.0001241924,0.000193536,0.02829006,0.05950646,0.0004784808,0.2356133,0.04640871,0.001076952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5325781,0.00007151622,0.04543105,0.01337913,0.0004456152,0.0007206849,0.000346725,0.0001558452,0.4068713],"genre_scores_gemma":[0.9979096,0.0002582632,0.00107331,0.0006390841,0.00006361738,0.000003669628,0.00001468354,0.000003619645,0.00003416372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6796667,"threshold_uncertainty_score":0.9750792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034467698","doi":"10.4018/irmj.2002100105","title":"The Impact of Expert Decision Support Systems on the Performance of New Employees","year":2002,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Expert system; Knowledge management; Decision support system; Test (biology); Quality (philosophy); Control (management); Decision quality; Engineering; Computer science; Artificial intelligence; Team effectiveness","retraction":null,"screen_n_in":null,"score":{"opus":0.05063906194233936,"gpt":0.2782007626846724,"spread":0.227561700742333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007630035,0.0001536517,0.0001556006,0.0003111776,0.0004242321,0.0007335383,0.0008280491,0.00003706683,0.0007673888],"category_scores_gemma":[0.00008234543,0.00007331691,0.000133471,0.0004772076,0.00007733318,0.00220346,0.0001749436,0.0001558672,0.0002949425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003183579,"about_ca_system_score_gemma":0.000007754191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140732,"about_ca_topic_score_gemma":0.000001510084,"domain_scores_codex":[0.9982157,0.00001212806,0.0007542027,0.00006942568,0.0007257035,0.0002228469],"domain_scores_gemma":[0.9983466,0.00009334735,0.0009506562,0.0003584611,0.0002335447,0.00001741288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003236785,0.0001185489,0.008240939,0.0002197695,0.0002351809,0.000002786586,0.001196992,0.0195898,0.0000100319,0.009491099,0.5661335,0.3944376],"study_design_scores_gemma":[0.0005755748,0.0001659351,0.01999718,0.0005253834,0.00004350539,0.00002097072,0.002493372,0.06990385,0.00005448051,0.0003521224,0.9056388,0.0002289003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365047,0.0002759779,0.001919847,0.0007825996,0.0006862813,0.0004282628,0.000003971535,0.00003414369,0.05936427],"genre_scores_gemma":[0.9978184,0.0008660887,0.0000430922,0.0002530666,0.0003643242,0.000006299212,0.000005008247,0.00000812317,0.0006356169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3942088,"threshold_uncertainty_score":0.8402369,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977342432","doi":"10.4018/irmj.2012070102","title":"Prevent/Control Identity Theft","year":2012,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Identity theft; Control (management); Identity (music); Business; Perception; Identity management; Data breach; Marketing; Computer security; Public relations; Internet privacy; Computer science; Access control; Economics; Psychology; Political science; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.006607149463048119,"gpt":0.2173304089499505,"spread":0.2107232594869024,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121161,0.0000877616,0.00007390492,0.000262819,0.0003179966,0.001003941,0.0006489821,0.00003136917,0.00007349236],"category_scores_gemma":[0.00002083614,0.00007468355,0.00007456826,0.0002534485,0.00001174256,0.01144076,0.0001356982,0.000170299,0.000416711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005748946,"about_ca_system_score_gemma":0.00000462144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003817243,"about_ca_topic_score_gemma":5.469926e-7,"domain_scores_codex":[0.9987952,0.00007275738,0.0003164145,0.00005281553,0.000498194,0.0002645876],"domain_scores_gemma":[0.9993034,0.0000195961,0.0002799393,0.00022086,0.00005257105,0.000123609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005687071,0.0002455758,0.01636858,0.0001459213,0.0004183628,0.00001118701,0.02299561,0.003352875,0.00002349039,0.2422757,0.02579709,0.6883087],"study_design_scores_gemma":[0.001286236,0.00007728409,0.07584991,0.00005033206,0.00004910138,0.0002313542,0.0006897041,0.01651241,0.00007491966,0.01112006,0.8937394,0.0003192776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02549309,0.0001112145,0.9285871,0.0006042353,0.001337105,0.0001536928,6.120757e-7,0.0001281958,0.04358477],"genre_scores_gemma":[0.9942719,0.00004270221,0.004052652,0.001024301,0.0003135982,0.000007249943,9.361584e-7,0.000003108093,0.0002835808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9687788,"threshold_uncertainty_score":0.9681022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2611273344","doi":"10.4018/irmj.2017070101","title":"Information Systems Quality and Success in Canadian Software Development Firms","year":2017,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University","funders":"","keywords":"Quality (philosophy); Information system; Software quality; Business; Information quality; Process management; Software development; Process (computing); Software; Capability Maturity Model; Information technology; Knowledge management; Marketing; Computer science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04635191426981561,"gpt":0.285024320070641,"spread":0.2386724058008254,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001450049,0.0001735105,0.0001736619,0.001004762,0.001245973,0.007040402,0.0006955218,0.00007628158,0.00009656572],"category_scores_gemma":[0.0002161617,0.0001544399,0.00002737571,0.0001819964,0.00006066743,0.01830968,0.0003127924,0.0002041034,0.000349155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433769,"about_ca_system_score_gemma":0.00004611407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05569846,"about_ca_topic_score_gemma":0.01626513,"domain_scores_codex":[0.9982044,0.00001070502,0.0008270166,0.00008204923,0.0004784561,0.0003974035],"domain_scores_gemma":[0.9984225,0.00001251987,0.0009613531,0.0003075685,0.0002361946,0.00005984379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006965083,0.00002557704,0.5673838,0.001647229,0.00006784647,0.00001753222,0.001601304,0.001007893,2.685334e-7,0.02823054,0.005860244,0.3940881],"study_design_scores_gemma":[0.0003058204,0.00000159452,0.4195864,0.0001462484,0.00000764025,0.000007530055,0.0009557938,0.001066807,7.160439e-7,0.0002177187,0.5775431,0.000160632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8175923,0.0001476915,0.01051796,0.002704887,0.002185175,0.001007235,0.00002203215,0.0001317243,0.165691],"genre_scores_gemma":[0.9979992,0.00005416111,0.000286948,0.001219705,0.0002050334,0.0000212798,0.0000881009,0.000006113607,0.0001194401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5716829,"threshold_uncertainty_score":0.9954207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085237241","doi":"10.4018/irmj.2007010102","title":"Privacy Rights Management","year":2007,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada","funders":"Vrije Universiteit Brussel","keywords":"Privacy by Design; Information privacy law; Privacy policy; Information privacy; Privacy law; Business; European union; Data Protection Act 1998; Legislation; Legislature; Privacy software; Internet privacy; General Data Protection Regulation; Digital rights management; Data Protection Directive; Computer security; Political science; Law; Computer science; European Union law; International trade","retraction":null,"screen_n_in":null,"score":{"opus":0.006419686606358395,"gpt":0.2152017542488489,"spread":0.2087820676424905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001421089,0.0002256132,0.0001532669,0.001007144,0.0005397916,0.002204703,0.001866008,0.00004592731,0.00007064878],"category_scores_gemma":[0.000005404815,0.0001784932,0.0001355907,0.0006729732,0.0000417333,0.006171892,0.0007934753,0.0002171237,0.0007537067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100845,"about_ca_system_score_gemma":0.000004282959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002468046,"about_ca_topic_score_gemma":0.000001776132,"domain_scores_codex":[0.9973399,0.00002968245,0.0007892194,0.0001912934,0.001079317,0.0005705879],"domain_scores_gemma":[0.9986773,0.00002803156,0.0004139448,0.0005532596,0.0001002479,0.0002272859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002381973,0.00007088383,0.00007441762,0.00006589828,0.0001505573,0.0002060377,0.001863025,0.00007089369,2.368087e-7,0.7331118,0.01363551,0.2507269],"study_design_scores_gemma":[0.0007474148,0.00004672972,0.004639557,0.00004150529,0.00002011339,0.00004019399,0.0002638158,0.001242155,0.00002180778,0.0679666,0.9247205,0.000249597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00688714,0.00001898215,0.4203772,0.0003335277,0.000475516,0.0002574199,4.189267e-7,0.0001934682,0.5714564],"genre_scores_gemma":[0.9130785,0.0001426285,0.07149805,0.002712657,0.000292747,0.00001573417,0.00001695022,0.0000153643,0.01222741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.911085,"threshold_uncertainty_score":0.9988311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}