{"meta":{"query_hash":"4ed14b93434d","filters":{"venue":"Information Resources Management Journal"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/4ed14b93434d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Information+Resources+Management+Journal"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.006607149463048119,"score_gpt":0.2173304089499505,"score_spread":0.2107232594869024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977342432","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3957706,0.0040498255,0.3520971,0.020915525,0.0005810447,0.002596762,0.00031092513,0.0016971575,0.22198112],"genre_scores_gemma":[0.9481263,0.0010405213,0.04484064,0.0010988008,0.00010337533,0.00034202644,0.00010405584,0.00005612722,0.0042881873],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9904516,0.0033205848,0.00077185256,0.00092746847,0.0036298183,0.0008986641],"domain_scores_gemma":[0.9661152,0.01069144,0.009349987,0.006992853,0.005491709,0.0013588811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007951908,0.0009957872,0.0005637081,0.0051332586,0.0028816236,0.005609773,0.0017295073,0.001836185,0.004943253],"category_scores_gemma":[0.03851872,0.00032640217,0.0008305973,0.0019361187,0.0042314567,0.0066621876,0.0051960237,0.0021605613,0.0012106103],"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":[0.00017694478,0.0019467057,0.08986277,0.0014340726,0.00024747814,0.00060869753,0.012243256,0.004305325,0.007611593,0.20161204,0.008064293,0.6718868],"study_design_scores_gemma":[0.00030720633,0.003576135,0.25490314,0.007531302,0.0010988538,0.0036157314,0.06384978,0.030898323,0.05246146,0.34008473,0.24114098,0.0005324245],"about_ca_topic_score_codex":0.0024931286,"about_ca_topic_score_gemma":0.0021211295,"teacher_disagreement_score":0.007951908,"about_ca_system_score_codex":0.0016471079,"about_ca_system_score_gemma":0.0059589664,"threshold_uncertainty_score":0.042054176},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.008028424233867175,"score_gpt":0.2503830584067515,"score_spread":0.24235463417288433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989262698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53758276,0.0020795965,0.1016801,0.007025509,0.00085208047,0.0005110906,0.0008250638,0.0005482289,0.34889558],"genre_scores_gemma":[0.9907143,0.0003056085,0.0029821207,0.0001933677,0.000041607065,0.00006934925,0.00013264833,0.000023638338,0.005537418],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98951226,0.004721015,0.0009769185,0.0007661342,0.0029586751,0.001064988],"domain_scores_gemma":[0.9729062,0.007318089,0.0064142244,0.0029905818,0.005882459,0.004488509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046663275,0.00029543386,0.0004650335,0.0015546024,0.0026210619,0.00465437,0.0006633179,0.0007898464,0.009976079],"category_scores_gemma":[0.035882633,0.0002215188,0.00041078767,0.0010993085,0.0012671303,0.002969098,0.0039885445,0.0010732956,0.0015774372],"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":[0.00034782378,0.0003808184,0.23044626,0.0008429969,0.0004922398,0.0012208954,0.03930423,0.007359137,0.0028460778,0.17518847,0.03613014,0.5054409],"study_design_scores_gemma":[0.0001248883,0.0015601224,0.22755727,0.0014871948,0.00045793146,0.0041304743,0.052496467,0.027711751,0.0039903834,0.18524267,0.4948602,0.00038066867],"about_ca_topic_score_codex":0.0046451013,"about_ca_topic_score_gemma":0.0042054015,"teacher_disagreement_score":0.009976079,"about_ca_system_score_codex":0.002403005,"about_ca_system_score_gemma":0.0031950471,"threshold_uncertainty_score":0.033373356},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05063906194233936,"score_gpt":0.27820076268467236,"score_spread":0.227561700742333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034467698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976058,0.00005310313,0.00011593227,0.00009417186,0.000007886123,0.00000607765,0.000012985687,0.0000071491163,0.0020968472],"genre_scores_gemma":[0.9993519,0.000036126738,0.00009352305,0.000018441842,0.000009509231,0.000003954839,0.000021638278,0.0000018498554,0.00046293848],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975696,0.0011922453,0.00013978247,0.00013554282,0.00061644346,0.00034632362],"domain_scores_gemma":[0.9815438,0.010495556,0.0021476322,0.0009004981,0.0020158365,0.002896737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023985934,0.00025714198,0.00020496662,0.0003982095,0.0005273442,0.0012230154,0.00023787715,0.00038155913,0.0024743867],"category_scores_gemma":[0.012676744,0.00008795173,0.00025715644,0.00029619702,0.00049571006,0.0006018643,0.00062136614,0.0005467912,0.00045429383],"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":[0.0071041216,0.01516958,0.43404314,0.00039089852,0.00040870323,0.0008048044,0.0074207666,0.009385273,0.026023598,0.0015479234,0.0030164828,0.49468458],"study_design_scores_gemma":[0.0002485404,0.015073372,0.94267327,0.00007375004,0.00019271011,0.00025065843,0.0074536065,0.009480532,0.019898744,0.0009723561,0.0035830645,0.00009937052],"about_ca_topic_score_codex":0.0015048024,"about_ca_topic_score_gemma":0.001408635,"teacher_disagreement_score":0.0024743867,"about_ca_system_score_codex":0.00053718267,"about_ca_system_score_gemma":0.0005264339,"threshold_uncertainty_score":0.01268512},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.01094526429119255,"score_gpt":0.2900612215107731,"score_spread":0.2791159572195806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068768371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13759524,0.001404436,0.82404864,0.009559085,0.00013781329,0.00040869036,0.00007297337,0.0031024306,0.023670696],"genre_scores_gemma":[0.7032831,0.00085804873,0.2885603,0.000933212,0.00023178599,0.0006221695,0.00023607934,0.0003275331,0.004947695],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97409034,0.01650074,0.0013840963,0.0026299069,0.0044686887,0.00092632725],"domain_scores_gemma":[0.8960897,0.07400468,0.006770228,0.012523394,0.008418681,0.0021934418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025529092,0.0012041287,0.0012290517,0.0037363411,0.004448071,0.010174138,0.0037673102,0.003126037,0.0028450314],"category_scores_gemma":[0.0852363,0.001193717,0.0006195694,0.0019434319,0.0052378355,0.025918396,0.013001894,0.0044014854,0.0015198506],"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":[0.0005227764,0.001101036,0.011473043,0.0015180197,0.0002463719,0.001229293,0.08492379,0.01005364,0.024156367,0.1502939,0.011498329,0.70298344],"study_design_scores_gemma":[0.00024699746,0.0005230403,0.005352536,0.0010974907,0.00036133325,0.0013706413,0.037759837,0.27012292,0.033357777,0.5185245,0.13091289,0.0003699955],"about_ca_topic_score_codex":0.0027192314,"about_ca_topic_score_gemma":0.0017042917,"teacher_disagreement_score":0.025529092,"about_ca_system_score_codex":0.0020496265,"about_ca_system_score_gemma":0.0060334853,"threshold_uncertainty_score":0.13501233},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.006419686606358395,"score_gpt":0.21520175424884894,"score_spread":0.20878206764249055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085237241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056355796,0.0038796505,0.49402216,0.01847007,0.0011307404,0.0014038822,0.0014203094,0.0024873798,0.4715502],"genre_scores_gemma":[0.2966898,0.0099002505,0.3578415,0.013747292,0.0028402666,0.0020219123,0.005365805,0.0011408323,0.31045225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9791033,0.0065997825,0.0020322916,0.0026798837,0.008060283,0.0015243372],"domain_scores_gemma":[0.9765029,0.006884644,0.0013907879,0.011443234,0.0029747118,0.00080370094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015517205,0.0007004797,0.0008703691,0.0024438074,0.0047620744,0.012723708,0.0032292197,0.004371816,0.028541006],"category_scores_gemma":[0.030727448,0.0007012402,0.0014539224,0.0033533114,0.0057378206,0.015286704,0.0078868,0.0052980636,0.012594973],"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":[0.000028339999,0.000053032803,0.00067687477,0.00016083871,0.000024320305,0.00019073112,0.0014077533,0.0007322015,0.001222152,0.83154,0.03745194,0.12651178],"study_design_scores_gemma":[0.00001778536,0.000033357348,0.00037063015,0.00025627177,0.00002198049,0.00068402593,0.0004429521,0.0021605166,0.0025006172,0.22130686,0.7721677,0.00003739646],"about_ca_topic_score_codex":0.0020760905,"about_ca_topic_score_gemma":0.0014046677,"teacher_disagreement_score":0.028541006,"about_ca_system_score_codex":0.0026822607,"about_ca_system_score_gemma":0.00659699,"threshold_uncertainty_score":0.09547913},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04635191426981561,"score_gpt":0.285024320070641,"score_spread":0.23867240580082538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611273344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693047,0.0009471744,0.00020288325,0.0035039973,0.000019776855,0.00004356682,0.0007509591,0.000031839107,0.025195181],"genre_scores_gemma":[0.9969471,0.00044894475,0.0001861077,0.0001274988,0.000004644179,0.0000076069978,0.00033151067,0.000010525616,0.0019361352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99225473,0.0006035917,0.00031844847,0.0004326111,0.0045370925,0.001853559],"domain_scores_gemma":[0.95521814,0.0046765218,0.005608741,0.00078552915,0.023441788,0.010269375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044065057,0.00026305264,0.000429453,0.0053732945,0.008403436,0.006462341,0.0012735333,0.0006424626,0.0036164445],"category_scores_gemma":[0.024853073,0.0003925401,0.00046957948,0.014042671,0.00321988,0.0013161153,0.0022377975,0.0018046898,0.00031802774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013048845,0.00024708812,0.9339333,0.00011661957,0.00008481512,0.00030453774,0.013921781,0.0011721583,0.000287418,0.008052415,0.008904822,0.03284452],"study_design_scores_gemma":[0.0000128421525,0.000036766287,0.9849113,0.00008216701,0.00002261986,0.000029734778,0.008018753,0.0010164978,0.00015181977,0.00025959968,0.0054205516,0.000037308644],"about_ca_topic_score_codex":0.9963955,"about_ca_topic_score_gemma":0.9967309,"teacher_disagreement_score":0.8757505,"about_ca_system_score_codex":0.1242495,"about_ca_system_score_gemma":0.10704021,"threshold_uncertainty_score":0.9014975},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01497549498040635,"score_gpt":0.28047106612906053,"score_spread":0.2654955711486542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768185635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98719317,0.00008113074,0.00015075336,0.0019250229,0.000027428734,0.000034758585,0.0003030549,0.000012622122,0.0102720475],"genre_scores_gemma":[0.99653506,0.0001307892,0.00026698224,0.0004406367,0.000027183327,0.0000827231,0.00047470548,0.000025536716,0.002016395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981431,0.00081617106,0.00015741977,0.0002172231,0.00035026702,0.00031583084],"domain_scores_gemma":[0.925739,0.048124082,0.013481809,0.0022646054,0.0022688454,0.008121632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050259475,0.0006276258,0.0005066584,0.0013414224,0.0021675744,0.0045888205,0.0018382978,0.002458303,0.027813442],"category_scores_gemma":[0.032337192,0.00087625557,0.001134532,0.0015305439,0.0022150066,0.004294149,0.003128652,0.003333385,0.0019855883],"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":[0.0010331091,0.0022161696,0.95750725,0.00010853143,0.0002270745,0.00027914476,0.022470228,0.00062533276,0.00049139955,0.003922194,0.0023569302,0.008762671],"study_design_scores_gemma":[0.00007301222,0.00022730022,0.9753322,0.000121321034,0.00009605305,0.00007892222,0.019545775,0.00186275,0.00013583734,0.0014594744,0.0010402519,0.000027070613],"about_ca_topic_score_codex":0.037062183,"about_ca_topic_score_gemma":0.0593445,"teacher_disagreement_score":0.037062183,"about_ca_system_score_codex":0.001589203,"about_ca_system_score_gemma":0.003497424,"threshold_uncertainty_score":0.093045235},"labels":[],"label_agreement":null}]}