{"meta":{"query_hash":"b763e05dddee","filters":{"venue":"Journal of Organizational and End User Computing"},"cohort_total":28,"direct_labels_cover":0,"predictions_cover":28,"exported":28,"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/b763e05dddee","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Organizational+and+End+User+Computing"},"results":[{"id":"W1881837860","doi":"10.4018/joeuc.2015100103","title":"Information Systems Project Management Risk","year":2015,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Nomological network; Competitive advantage; Business; Risk management; Linkage (software); Risk analysis (engineering); Information system; Knowledge management; Process management; Computer science; Marketing; Service (business); Engineering; Finance","score_opus":0.011178971592663595,"score_gpt":0.2006824315647869,"score_spread":0.1895034599721233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1881837860","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":[0.9318053,0.00023611468,0.040385973,0.00037001606,0.001201859,0.00020758159,0.0000037628545,0.000092243914,0.025697108],"genre_scores_gemma":[0.9982455,0.000028103414,0.00081560033,0.00033371028,0.00050088705,3.2464132e-7,0.000010891731,0.0000051250895,0.00005988786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991962,0.00000515381,0.00039667625,0.000034776775,0.00027238025,0.00009484219],"domain_scores_gemma":[0.9986563,0.000010709937,0.0007310662,0.000044022294,0.0005481525,0.00000980339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003978629,0.000074256124,0.0001092833,0.00025623216,0.00011816395,0.00025284805,0.000108718516,0.00004020957,0.000006757069],"category_scores_gemma":[0.00008536179,0.000059587634,0.000018365055,0.00035885136,0.000017466982,0.0021047713,0.000076889846,0.00010647381,0.00003690004],"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":[0.00008677636,0.0000811094,0.28700408,0.00046566696,0.00023140389,0.00002258518,0.0014642543,0.018975807,0.000008071579,0.61084133,0.061635096,0.019183818],"study_design_scores_gemma":[0.0046370113,0.000106476386,0.15741993,0.00030871228,0.00022123446,0.00042304062,0.018303512,0.077628694,0.000038022954,0.008196219,0.732091,0.00062610424],"about_ca_topic_score_codex":0.000039876744,"about_ca_topic_score_gemma":6.98885e-7,"teacher_disagreement_score":0.67045593,"about_ca_system_score_codex":0.000027071803,"about_ca_system_score_gemma":0.000035179568,"threshold_uncertainty_score":0.24382196},"labels":[],"label_agreement":null},{"id":"W1965225687","doi":"10.4018/joeuc.2005100102","title":"Assessing Web-Enabled Interactivity","year":2005,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada); University of Calgary","funders":"","keywords":"Interactivity; Computer science; World Wide Web; Process (computing); Knowledge management","score_opus":0.018749295512577684,"score_gpt":0.24465194474308974,"score_spread":0.22590264923051206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965225687","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":[0.98346007,0.00004887638,0.01063972,0.002661203,0.0003482143,0.000024359097,1.7575529e-7,0.000022018072,0.0027953838],"genre_scores_gemma":[0.99329203,0.0000043103346,0.0025221326,0.0011454569,0.0029832353,5.8375743e-8,0.0000055561186,0.000012367471,0.000034824807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992849,0.0000073629994,0.00033376302,0.00008489342,0.00018214427,0.0001069205],"domain_scores_gemma":[0.998801,0.00004578451,0.00045633252,0.000036546815,0.00065137167,0.000008964108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003516811,0.00008872368,0.00013354576,0.00019469131,0.00020583005,0.0005023152,0.000082463586,0.000037670296,0.00021649011],"category_scores_gemma":[0.00014157835,0.000074906755,0.000023186029,0.00050843833,0.000019899406,0.0034769333,0.00006780201,0.00015626915,0.000014452926],"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":[0.00010127076,0.0005565574,0.714591,0.0003378746,0.00019273722,0.000042214197,0.00028170896,0.014385143,0.035583567,0.13904355,0.0076666656,0.087217696],"study_design_scores_gemma":[0.0017739958,0.000018795423,0.8137358,0.00032527983,0.00009341646,0.000251079,0.00046967695,0.10197558,0.00090284756,0.0033459319,0.07666167,0.00044595526],"about_ca_topic_score_codex":0.0000065066915,"about_ca_topic_score_gemma":0.0000027151232,"teacher_disagreement_score":0.13569763,"about_ca_system_score_codex":0.000022856328,"about_ca_system_score_gemma":0.000048481495,"threshold_uncertainty_score":0.48438364},"labels":[],"label_agreement":null},{"id":"W1984524308","doi":"10.4018/joeuc.2002070103","title":"Environmental and Person Antecedents of Telecommuting Outcomes","year":2002,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Work-Family Balance Challenges","field":"Social Sciences","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":"Université de Sherbrooke","funders":"","keywords":"Telecommuting; Supervisor; Psychology; Work (physics); Knowledge management; Mainstream; Social psychology; Business; Applied psychology; Computer science; Management; Engineering; Economics","score_opus":0.022505977462963726,"score_gpt":0.24816491455776016,"score_spread":0.22565893709479642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984524308","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":[0.99747586,0.0010770403,0.00010148196,0.0005252522,0.00011133101,0.000024318884,0.0000015216661,0.000006115219,0.0006770802],"genre_scores_gemma":[0.9978532,0.0006610848,0.0011483217,0.000051645384,0.00017309714,2.6330014e-8,3.6650252e-7,0.000006864509,0.00010539066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992946,0.000052350042,0.00020563729,0.00006646554,0.00026987394,0.00011111303],"domain_scores_gemma":[0.99946815,0.00016536844,0.00023435915,0.00002778386,0.000045556924,0.00005881112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028499108,0.00006118331,0.00014812629,0.000055559954,0.00023371461,0.000030142286,0.000091040914,0.000036826194,0.00021147307],"category_scores_gemma":[0.00010404141,0.00005355121,0.000022791766,0.00007839959,0.00010466054,0.0001363806,0.000043588647,0.0000966349,0.000001454955],"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":[0.000001329669,0.000036623747,0.98655665,0.0000063807847,0.000023599127,0.0000018923379,0.010499402,0.000016275662,0.00047559655,0.00014731816,0.00009523523,0.0021396999],"study_design_scores_gemma":[0.00029457491,0.000029656516,0.98934174,0.000043696597,0.000012237339,0.000029675448,0.009557188,0.00011505308,0.000053022442,0.00007396357,0.00038214703,0.0000670255],"about_ca_topic_score_codex":0.000011920239,"about_ca_topic_score_gemma":0.0000066591024,"teacher_disagreement_score":0.0027851136,"about_ca_system_score_codex":0.00003088703,"about_ca_system_score_gemma":0.000011580228,"threshold_uncertainty_score":0.23154819},"labels":[],"label_agreement":null},{"id":"W1990002880","doi":"10.4018/joeuc.2002010102","title":"The Role of Trainer Behavior in End User Software Training","year":2002,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":23,"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":"Trainer; Computer science; Context (archaeology); Card sorting; Process (computing); Class (philosophy); Retraining; Training (meteorology); Applied psychology; Multimedia; Human–computer interaction; Psychology; Knowledge management; Task (project management); Artificial intelligence; Engineering","score_opus":0.018406454164712305,"score_gpt":0.22843013167951987,"score_spread":0.21002367751480755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990002880","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":[0.8839467,0.00048289122,0.11403587,0.0009972849,0.00025197273,0.0000832985,0.0000032971009,0.000026683763,0.0001719889],"genre_scores_gemma":[0.9527139,0.000012890543,0.046950154,0.00011457008,0.00013329323,4.1105562e-7,0.0000010004577,0.000011689939,0.00006208686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987084,0.000050949056,0.00057998823,0.0001245138,0.0003602704,0.00017586938],"domain_scores_gemma":[0.99864084,0.00040626863,0.0003663226,0.000121142475,0.00041107635,0.00005436249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046621592,0.000099519944,0.00017365946,0.00016085907,0.00021477004,0.00013309169,0.00046298731,0.000043922977,0.000058625043],"category_scores_gemma":[0.00030021675,0.00007504566,0.00003924159,0.00081941776,0.0000598971,0.00038341375,0.00014258937,0.00021808447,0.0000020883942],"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":[0.000007494693,0.00029785515,0.7149008,0.0000160683,0.00007890165,0.000050081686,0.019407492,0.0046812603,0.0021331005,0.044673093,0.00050858624,0.21324529],"study_design_scores_gemma":[0.0018362534,0.00025581187,0.9258967,0.00022670397,0.000049421047,0.0013117496,0.002447653,0.040307913,0.0013832415,0.0066582575,0.019079667,0.0005466377],"about_ca_topic_score_codex":0.0000045569745,"about_ca_topic_score_gemma":0.000004008509,"teacher_disagreement_score":0.21269865,"about_ca_system_score_codex":0.000029042925,"about_ca_system_score_gemma":0.00006933504,"threshold_uncertainty_score":0.30602732},"labels":[],"label_agreement":null},{"id":"W1992346930","doi":"10.4018/joeuc.2001040101","title":"A Study of Remote Workers and Their Differences from Non-Remote Workers","year":2001,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":99,"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":"Job satisfaction; Competence (human resources); Perception; Interpersonal communication; Business; Work (physics); Information technology; Work environment; Psychology; Knowledge management; Computer science; Social psychology; Engineering","score_opus":0.03064218401839369,"score_gpt":0.2721971113280471,"score_spread":0.2415549273096534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992346930","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":[0.9927641,0.00020667915,0.0051896335,0.00024633112,0.00020129526,0.000067645116,4.7816155e-7,0.0000079920455,0.0013158346],"genre_scores_gemma":[0.99759233,0.00009441183,0.001684352,0.000023620378,0.0003996291,1.6645753e-8,6.5076546e-7,0.0000070213487,0.00019795484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991596,0.000069419744,0.00029638238,0.00011032727,0.00023895687,0.00012535031],"domain_scores_gemma":[0.9992646,0.00018879233,0.00025547307,0.000043210643,0.00017275894,0.000075153795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041459216,0.000086290784,0.00019950928,0.00009837952,0.00032474656,0.00009677971,0.00015193125,0.00003433369,0.00005184768],"category_scores_gemma":[0.000103013495,0.00006585686,0.000024508248,0.00036316318,0.000064945714,0.00014213158,0.00010777119,0.00010573288,7.276945e-7],"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":[0.000017200602,0.00005104249,0.94441986,0.000004593506,0.000093093426,0.00000819559,0.033275176,0.00007823258,0.000030110856,0.000051366336,0.00007173038,0.02189937],"study_design_scores_gemma":[0.0007359457,0.00008719193,0.9226075,0.00018353769,0.000044633904,0.0000052107753,0.07086575,0.0034854317,0.000010946575,0.0012911785,0.00056200696,0.00012069621],"about_ca_topic_score_codex":0.00053067884,"about_ca_topic_score_gemma":0.0003124206,"teacher_disagreement_score":0.037590574,"about_ca_system_score_codex":0.00001844544,"about_ca_system_score_gemma":0.000044083787,"threshold_uncertainty_score":0.26855648},"labels":[],"label_agreement":null},{"id":"W1997307854","doi":"10.4018/joeuc.2005070102","title":"The Effectiveness of Online Task Support vs. Instructor-Led Training","year":2005,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":27,"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 Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Task (project management); Wizard; Computer science; Cognition; Mental model; Electronic performance support systems; Process (computing); Variety (cybernetics); Applied psychology; Psychology; Multimedia; Human–computer interaction; Knowledge management; World Wide Web; Artificial intelligence","score_opus":0.010555433802887452,"score_gpt":0.2728322744645003,"score_spread":0.2622768406616129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997307854","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":[0.9968817,0.00013148758,0.0019066222,0.00025485476,0.0004504406,0.000031799736,0.0000080743785,0.000005080203,0.00032994302],"genre_scores_gemma":[0.9979508,0.000024767372,0.001381813,0.00008075896,0.00048339798,8.350185e-8,0.0000074219893,0.000011368378,0.00005958664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992258,0.0000834842,0.00035687262,0.00007035555,0.00014694528,0.00011653876],"domain_scores_gemma":[0.99902886,0.0003793283,0.00028543058,0.0000570991,0.00020647094,0.00004280513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068509416,0.0000725415,0.00016283538,0.000054570886,0.00013154146,0.00002036708,0.00012404677,0.000038755355,0.000088361856],"category_scores_gemma":[0.000063078194,0.000049802435,0.000033231947,0.00015456352,0.000048358135,0.00007291942,0.000034956924,0.00015648406,0.0000018762616],"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":[0.00059589976,0.00029850673,0.8371399,0.0000960673,0.0004627112,0.000020644606,0.012751216,0.0053487136,0.0033883199,0.0424225,0.00035681686,0.0971187],"study_design_scores_gemma":[0.0009611294,0.00013872293,0.9910244,0.00005858959,0.000020091786,0.00038337472,0.00046832496,0.0026212062,0.00009089985,0.0002960209,0.0038596652,0.000077571414],"about_ca_topic_score_codex":0.0000032557227,"about_ca_topic_score_gemma":0.000004098357,"teacher_disagreement_score":0.1538845,"about_ca_system_score_codex":0.000018604429,"about_ca_system_score_gemma":0.00007535392,"threshold_uncertainty_score":0.20308845},"labels":[],"label_agreement":null},{"id":"W2002438818","doi":"10.4018/joeuc.2011040103","title":"In or Out","year":2011,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Knowledge Management and Sharing","field":"Social Sciences","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":"Western University; Acadia University","funders":"","keywords":"Knowledge management; Reuse; Work (physics); Competitive advantage; Knowledge value chain; Computer science; Business; Test (biology); Organizational learning; Marketing; Engineering","score_opus":0.06497695728723071,"score_gpt":0.29957664270968937,"score_spread":0.23459968542245865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002438818","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":[0.9503458,0.000130745,0.0031649296,0.00054418854,0.00068272726,0.00004273447,1.9366801e-7,0.0000106915995,0.04507795],"genre_scores_gemma":[0.99602956,0.000031526466,0.0019019697,0.000105342435,0.0003868818,2.5772245e-8,1.3700445e-7,0.0000037078821,0.0015408474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995437,0.000030526837,0.00016917469,0.000042770913,0.00012954486,0.00008422817],"domain_scores_gemma":[0.9997074,0.000045191784,0.000088123,0.000016368804,0.000104244275,0.00003866782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004190036,0.000032636835,0.000070859096,0.00008541158,0.00012132998,0.000030639567,0.00009019264,0.000019732815,0.00053160597],"category_scores_gemma":[0.00015008629,0.000025546715,0.000011483109,0.00017959335,0.000026527981,0.00019119703,0.000044159857,0.000060932423,0.000006765363],"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":[0.00002809181,0.00009465874,0.8322091,0.000016947346,0.000030471449,0.00007507852,0.09097677,0.0000219881,0.000045926365,0.07050839,0.001635049,0.004357513],"study_design_scores_gemma":[0.0017518312,0.00014584258,0.868187,0.0002405973,0.000047948524,0.000044159635,0.019022012,0.0008853061,0.0002870534,0.018489487,0.09049451,0.00040426673],"about_ca_topic_score_codex":0.000028296865,"about_ca_topic_score_gemma":0.00016318884,"teacher_disagreement_score":0.08885947,"about_ca_system_score_codex":0.000019242856,"about_ca_system_score_gemma":0.0000530548,"threshold_uncertainty_score":0.58207124},"labels":[],"label_agreement":null},{"id":"W2018786557","doi":"10.4018/joeuc.2008010102","title":"Knowledge Appraisal and Knowledge Management Systems","year":2008,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":10,"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":"Knowledge management; Intellectual capital; Personal knowledge management; Knowledge value chain; Key (lock); Critical appraisal; Process (computing); Computer science; Knowledge engineering; Business; Process management; Organizational learning","score_opus":0.01838735274625343,"score_gpt":0.23296998925990503,"score_spread":0.21458263651365161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018786557","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":[0.9791796,0.0024589708,0.0021727772,0.00010564234,0.0006136753,0.000048779384,5.363734e-7,0.000021147265,0.01539883],"genre_scores_gemma":[0.99694014,0.000214953,0.00022491702,0.00011436102,0.0019167664,2.2820093e-7,0.0000052154946,0.000014382731,0.00056902657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992257,0.000009309485,0.00034417404,0.00011542039,0.00016735932,0.00013807954],"domain_scores_gemma":[0.9992298,0.000072228664,0.00021833846,0.000045368804,0.00041226522,0.000022005952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002484121,0.00012129104,0.000203773,0.0003030353,0.00034155234,0.00013707475,0.00010541211,0.000035046378,0.00006988447],"category_scores_gemma":[0.00004517332,0.00009576786,0.0000400816,0.00048435756,0.000053334843,0.0004981705,0.00017403557,0.00010992952,0.00005207399],"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":[0.00017645997,0.0008285022,0.6970487,0.0025417735,0.0012475892,0.00024077785,0.00817158,0.003146271,0.00043255856,0.21201554,0.055267792,0.018882416],"study_design_scores_gemma":[0.0034940077,0.00016417976,0.41550133,0.00072749157,0.0006741414,0.002188467,0.005147972,0.17061433,0.00010331911,0.0011851406,0.3989466,0.0012530041],"about_ca_topic_score_codex":0.000010377059,"about_ca_topic_score_gemma":0.0000021370815,"teacher_disagreement_score":0.34367883,"about_ca_system_score_codex":0.00001399513,"about_ca_system_score_gemma":0.000021928185,"threshold_uncertainty_score":0.39052996},"labels":[],"label_agreement":null},{"id":"W2023618847","doi":"10.4018/joeuc.2004100102","title":"Testing the Technology-to-Performance Chain Model","year":2004,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":158,"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":"Task (project management); Predictive power; Computer science; Turnover; Information technology; Technology acceptance model; Knowledge management; Usability; Human–computer interaction; Management","score_opus":0.06848911376605087,"score_gpt":0.32640923991814325,"score_spread":0.25792012615209237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023618847","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":[0.92138886,0.00005618299,0.06945111,0.008815353,0.00013900873,0.000042452568,0.0000010310936,0.000036051493,0.000069944974],"genre_scores_gemma":[0.9641813,0.0000039072947,0.035018187,0.00062932936,0.00009475021,2.022403e-7,1.9408893e-7,0.000008475422,0.00006362745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986183,0.000019178713,0.00053147506,0.00014903766,0.0005308453,0.00015116596],"domain_scores_gemma":[0.99846935,0.00018811315,0.00033087778,0.00014750185,0.0007975824,0.000066596294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011128153,0.00009126708,0.0001572137,0.00039723565,0.0003866708,0.00009543106,0.0005430699,0.000077453944,0.000015456882],"category_scores_gemma":[0.0016347864,0.000054501004,0.00002561809,0.0016794958,0.00008968678,0.0001729157,0.00020649486,0.00028474018,0.00002139631],"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":[0.000010528473,0.00006572875,0.7202199,0.0000026550645,0.000016709051,0.000012259126,0.00084452966,0.23214175,0.0061939317,0.016686589,0.00039530246,0.023410095],"study_design_scores_gemma":[0.0009011869,0.00018828777,0.89292866,0.00010726231,0.000023481276,0.0013220577,0.0010029917,0.046338927,0.0024055718,0.05366394,0.00088769087,0.00022992611],"about_ca_topic_score_codex":8.422969e-7,"about_ca_topic_score_gemma":7.464545e-7,"teacher_disagreement_score":0.18580282,"about_ca_system_score_codex":0.00003226747,"about_ca_system_score_gemma":0.00013071383,"threshold_uncertainty_score":0.29739982},"labels":[],"label_agreement":null},{"id":"W2050248390","doi":"10.4018/joeuc.2001100102","title":"Experiences from Health Information System Implementation Projects Reported in Canada Between 1991 and 1997","year":2001,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Health informatics; Information system; Informatics; Knowledge management; Process (computing); Health sector; Information technology; Resource (disambiguation); Business; Management information systems; Health information; Process management; Health care; Engineering management; Computer science; Political science; Engineering; Medicine; Health services; Environmental health","score_opus":0.04524065482071818,"score_gpt":0.36727063749102284,"score_spread":0.3220299826703047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050248390","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":[0.9970139,0.0002221312,0.0010161911,0.0009980982,0.00040757123,0.0002801183,0.000012451343,0.0000103686225,0.000039162627],"genre_scores_gemma":[0.9985472,0.000049203638,0.00049187243,0.0004080043,0.00041276426,0.0000026438347,0.00007610512,0.0000075180574,0.0000046710584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976249,0.00027720723,0.0014114982,0.00009315247,0.0003181695,0.00027509878],"domain_scores_gemma":[0.99800056,0.00028682238,0.0012904803,0.000048809397,0.00023246248,0.00014085171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009761061,0.00008646521,0.00027856714,0.00012737897,0.00037392863,0.00001763178,0.00005793042,0.000044475775,0.000028738048],"category_scores_gemma":[0.000097562646,0.00007346481,0.000008099968,0.00032168033,0.000008329661,0.00031891023,0.000037418136,0.00026674118,8.484267e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008227099,0.0000026730895,0.97732335,0.00014993385,0.000015631216,0.0000054774005,0.018393353,0.0000174755,0.0000038767544,0.000077411445,0.0005747974,0.0034278003],"study_design_scores_gemma":[0.00088775315,0.000065985296,0.88725513,0.00047297237,0.0000069239486,0.00008522826,0.10669975,0.0009888221,0.00000607661,0.000019783387,0.0034288967,0.0000826762],"about_ca_topic_score_codex":0.529372,"about_ca_topic_score_gemma":0.25030047,"teacher_disagreement_score":0.27907148,"about_ca_system_score_codex":0.0010827546,"about_ca_system_score_gemma":0.003805151,"threshold_uncertainty_score":0.7633796},"labels":[],"label_agreement":null},{"id":"W2060732635","doi":"10.4018/joeuc.2006070102","title":"Intentions to Use Information Technologies","year":2006,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":180,"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":"Technology acceptance model; Conceptual model; Theory of planned behavior; Information technology; Psychology; Knowledge management; Social psychology; Applied psychology; Computer science; Usability; Artificial intelligence; Human–computer interaction","score_opus":0.04419878106016439,"score_gpt":0.30932484714371167,"score_spread":0.2651260660835473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060732635","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":[0.85254186,0.000022326218,0.1431684,0.003836716,0.00022657566,0.000037145815,0.000004423971,0.00006592951,0.00009659398],"genre_scores_gemma":[0.9806119,0.000004123743,0.018972697,0.00022996767,0.000043696695,1.5022276e-7,0.0000024737037,0.0000039124093,0.00013102926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985313,0.000030999017,0.0006638154,0.00008561718,0.00058556284,0.0001027186],"domain_scores_gemma":[0.99808985,0.00025647914,0.00036387652,0.000103587336,0.0011497021,0.00003650334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007315455,0.000072560346,0.00013825337,0.00064866344,0.00017728876,0.00029171683,0.00027189532,0.000074466465,0.00004796847],"category_scores_gemma":[0.002474756,0.0000533283,0.000037244034,0.00094109605,0.000049053313,0.0008947036,0.00016017606,0.00015103263,0.000036202568],"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":[0.000012350643,0.000047081605,0.94560564,0.0000016027336,0.00000968581,0.0000053862736,0.00018049039,0.001441597,0.0009953249,0.03007514,0.010255639,0.011370062],"study_design_scores_gemma":[0.00022327052,0.000042079795,0.96546835,0.00001757186,0.000008969922,0.00020078897,0.00080447446,0.00041172083,0.0004745512,0.0100620985,0.022204183,0.00008197143],"about_ca_topic_score_codex":0.0000068438862,"about_ca_topic_score_gemma":0.000005264069,"teacher_disagreement_score":0.12807007,"about_ca_system_score_codex":0.000024319914,"about_ca_system_score_gemma":0.000045021512,"threshold_uncertainty_score":0.29626927},"labels":[],"label_agreement":null},{"id":"W2062682757","doi":"10.4018/joeuc.2011100105","title":"An Analysis of Process Characteristics for Developing Scientific Software","year":2011,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Scientific Computing and Data Management","field":"Decision Sciences","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":"Royal Military College of Canada","funders":"","keywords":"Software development; Personal software process; Agile software development; Computer science; Software engineering; Social software engineering; Software development process; Package development process; Software; Process (computing); Software Engineering Process Group; Software peer review; Quality (philosophy); Software construction; Team software process; Engineering management; Engineering","score_opus":0.12769130609932042,"score_gpt":0.36681756973524543,"score_spread":0.239126263635925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062682757","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":[0.5758707,0.000012344819,0.42363352,0.000032076525,0.00038781852,0.000029635235,0.000017663806,0.0000055560095,0.000010694367],"genre_scores_gemma":[0.93645096,0.0000010239335,0.06333925,0.000048683058,0.0000860463,1.06385926e-7,0.00002461414,0.0000056879794,0.000043622174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978654,0.000048281203,0.000885373,0.00028279034,0.00078700815,0.00013116424],"domain_scores_gemma":[0.99600685,0.00040630405,0.000903432,0.00021852339,0.0023875989,0.00007728439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032873913,0.00008196176,0.00030077965,0.0008227937,0.00030532386,0.00033124912,0.000582086,0.000025675616,0.00007928163],"category_scores_gemma":[0.0021057646,0.000060944734,0.00007078048,0.0022530446,0.00008297247,0.00034830027,0.00012485798,0.000050544084,0.000001339276],"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":[0.000042318472,0.00018262214,0.94666964,0.00004484628,0.0003577173,0.0000049833766,0.0065425057,0.003382452,0.00028705134,0.0063036554,0.0006491515,0.03553305],"study_design_scores_gemma":[0.0002614861,0.00007997531,0.9122662,0.000048773625,0.0002727805,0.000015158938,0.0013528926,0.07758961,0.0006038926,0.0065366444,0.0008224019,0.00015016421],"about_ca_topic_score_codex":0.000002451588,"about_ca_topic_score_gemma":0.0000029615312,"teacher_disagreement_score":0.3605803,"about_ca_system_score_codex":0.000016085894,"about_ca_system_score_gemma":0.00014318073,"threshold_uncertainty_score":0.31942427},"labels":[],"label_agreement":null},{"id":"W2075986057","doi":"10.4018/joeuc.2014040101","title":"Social Media Tools Adoption and Use by SMES","year":2014,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":163,"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":"McGill University","keywords":"Social media; Business; Empirical research; Marketing; Test (biology); Knowledge management; Small and medium-sized enterprises; Logistic regression; Computer science; World Wide Web","score_opus":0.021059481610130278,"score_gpt":0.25715056190980434,"score_spread":0.23609108029967407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075986057","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":[0.99594045,0.000081420374,0.0008930299,0.0013524456,0.00027815113,0.000021701186,0.0000030380036,0.000015075905,0.0014146868],"genre_scores_gemma":[0.9977041,0.000074112504,0.00069759577,0.0001655134,0.0012509888,5.225643e-8,0.000004568682,0.000007391504,0.00009568485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991559,0.00013209182,0.0002034819,0.00007119858,0.00030631787,0.00013105519],"domain_scores_gemma":[0.9984903,0.00096688716,0.00017724058,0.000015466538,0.00024337173,0.000106768835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008228538,0.000059028127,0.00012818842,0.000039642942,0.00044223992,0.0003012728,0.00006327249,0.000059337486,0.000018075645],"category_scores_gemma":[0.0030483939,0.00005394239,0.00002118599,0.00014401569,0.0001230812,0.0004039512,0.00003221998,0.00009568002,9.176253e-7],"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":[0.000057730267,0.00016088794,0.48561233,0.00005000296,0.00010662947,0.0000074877266,0.087002166,0.000025315845,0.0006082831,0.16343673,0.021962684,0.24096975],"study_design_scores_gemma":[0.0012841453,0.0001049049,0.83255094,0.0001616838,0.00007636892,0.000032417956,0.011396246,0.00027233895,0.00006497679,0.013264824,0.14032881,0.0004623454],"about_ca_topic_score_codex":0.000014347972,"about_ca_topic_score_gemma":0.000013817623,"teacher_disagreement_score":0.3469386,"about_ca_system_score_codex":0.000023950852,"about_ca_system_score_gemma":0.00006154107,"threshold_uncertainty_score":0.36494324},"labels":[],"label_agreement":null},{"id":"W2076190464","doi":"10.4018/joeuc.2006100104","title":"Semantic Composition of Web Portal Components","year":2006,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Service-Oriented Architecture and Web Services","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":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Component (thermodynamics); World Wide Web; Semantic Web; Agile software development; Usability; Domain (mathematical analysis); Social Semantic Web; Composition (language); Software engineering; Human–computer interaction","score_opus":0.00501496737280423,"score_gpt":0.19578547489567574,"score_spread":0.1907705075228715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076190464","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":[0.88880825,0.0001759392,0.10997675,0.0004657361,0.00024541156,0.00002834954,0.0000019101972,0.000016809241,0.00028082248],"genre_scores_gemma":[0.9822273,0.0000056394138,0.017281044,0.00020983546,0.00025289832,3.7462367e-8,0.000010070582,0.0000068868535,0.000006269312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894625,0.000037369824,0.00044956827,0.00011454648,0.00033586955,0.000116371026],"domain_scores_gemma":[0.999029,0.000084048166,0.00041779535,0.00008369557,0.00033452894,0.000050959577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585176,0.00009532829,0.00018383532,0.00015643323,0.00010942683,0.00005775782,0.00028962825,0.00003223718,0.000013123004],"category_scores_gemma":[0.0000032661383,0.000079690675,0.000041781084,0.00038485223,0.000022904524,0.0002490901,0.00013541048,0.00010101521,0.0000016238677],"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":[0.00005888783,0.0009248202,0.55416113,0.000381129,0.00027904325,0.00019575348,0.0032645818,0.02891345,0.24976479,0.15722352,0.0008071025,0.0040257983],"study_design_scores_gemma":[0.0021098752,0.00024615563,0.84111553,0.00041953355,0.00007424045,0.0017238978,0.00015129836,0.12513176,0.019107264,0.008397693,0.0011176286,0.00040513233],"about_ca_topic_score_codex":0.000022724786,"about_ca_topic_score_gemma":0.0000054841803,"teacher_disagreement_score":0.2869544,"about_ca_system_score_codex":0.000008803077,"about_ca_system_score_gemma":0.000049378414,"threshold_uncertainty_score":0.32496914},"labels":[],"label_agreement":null},{"id":"W2115833431","doi":"10.4018/joeuc.2015040101","title":"Strategic Information System Planning in Healthcare Organizations","year":2015,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":19,"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":"Strategic information system; Health care; Business; Knowledge management; Information system; Quality (philosophy); Healthcare industry; Information technology; Healthcare system; Marketing; Computer science; Health informatics; Engineering; Economics; Economic growth","score_opus":0.01927959732794368,"score_gpt":0.22261212689588689,"score_spread":0.2033325295679432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115833431","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":[0.9884049,0.00008651227,0.006826804,0.0013628944,0.00035169307,0.00006290601,0.0000015503412,0.000054465003,0.0028482166],"genre_scores_gemma":[0.9984909,0.0000025360525,0.0004967781,0.0006403661,0.00033713685,1.7473347e-7,0.000019681727,0.0000066224825,0.000005787629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990958,0.0000063705857,0.00050678785,0.000047004705,0.00022701165,0.00011702774],"domain_scores_gemma":[0.9984391,0.000014180751,0.00055132486,0.00004104251,0.00093676726,0.000017596098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003242196,0.0000808205,0.00013797628,0.0003349547,0.000110584064,0.0001795336,0.000107287335,0.00006430309,0.000008373424],"category_scores_gemma":[0.00012410793,0.000071917515,0.000011627703,0.0008437833,0.00001689946,0.0019682648,0.000051953066,0.00015312823,0.000022038888],"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":[0.00002049962,0.00001906056,0.5127266,0.00018945614,0.000016219255,0.00001704975,0.0008533107,0.016309392,0.0000128343545,0.4684802,0.0008713569,0.0004840345],"study_design_scores_gemma":[0.009437431,0.00021878642,0.5946222,0.0016150752,0.00011644304,0.0018647587,0.07554258,0.26600137,0.00016260493,0.03306781,0.016008776,0.001342187],"about_ca_topic_score_codex":0.00005772106,"about_ca_topic_score_gemma":0.0000043499003,"teacher_disagreement_score":0.43541238,"about_ca_system_score_codex":0.000066546476,"about_ca_system_score_gemma":0.00013434779,"threshold_uncertainty_score":0.29327112},"labels":[],"label_agreement":null},{"id":"W2309147984","doi":"10.4018/joeuc.2016040103","title":"The Influence of Social Presence, Social Exchange and Feedback Features on SNS Continuous Use","year":2016,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Western University","funders":"","keywords":"Perception; Variance (accounting); Psychology; Variety (cybernetics); Social exchange theory; Social psychology; Social network (sociolinguistics); Information exchange; Social influence; Social media; Computer science; World Wide Web; Business","score_opus":0.011080800140574209,"score_gpt":0.2524058973388505,"score_spread":0.24132509719827627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309147984","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":[0.9944354,0.00007631193,0.00002374487,0.0039788224,0.00019593714,0.000045776964,0.00000664677,0.00000846309,0.0012288943],"genre_scores_gemma":[0.99807596,0.00013448345,0.00006652751,0.00011242644,0.00086252426,1.5138221e-7,3.2660725e-7,0.0000073910815,0.0007401884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998934,0.00016175336,0.0002459244,0.00008067823,0.0004151145,0.00016255914],"domain_scores_gemma":[0.9977368,0.0013928523,0.00032684364,0.0000238131,0.00045427328,0.00006539983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007245918,0.00007205168,0.00015277321,0.00004089626,0.00088005915,0.00015682534,0.00013315785,0.00006583197,0.000010446176],"category_scores_gemma":[0.0021933184,0.000043381944,0.00003395923,0.00017840145,0.00042449957,0.0002442146,0.00006184651,0.00009854788,6.406266e-7],"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":[0.00043675138,0.00024716317,0.43906072,0.00008671377,0.00029377668,0.000024693354,0.13283087,0.00003467386,0.0020920339,0.23180941,0.023391569,0.16969164],"study_design_scores_gemma":[0.0004607822,0.000064809974,0.97622687,0.00011061353,0.000016750502,0.0000071569807,0.0029106045,0.0000017732593,0.000039000588,0.0022102466,0.017850488,0.00010088055],"about_ca_topic_score_codex":0.000031144376,"about_ca_topic_score_gemma":0.000031810763,"teacher_disagreement_score":0.5371662,"about_ca_system_score_codex":0.000026039268,"about_ca_system_score_gemma":0.000101672355,"threshold_uncertainty_score":0.6768792},"labels":[],"label_agreement":null},{"id":"W2907767058","doi":"10.4018/joeuc.2020010105","title":"The Nature and Role of User Beliefs Regarding a Website's Design Quality","year":2018,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Intranet; Quality (philosophy); Computer science; Context (archaeology); Information quality; Knowledge management; Domain (mathematical analysis); World Wide Web; Information system; Usability; The Internet; Human–computer interaction; Engineering","score_opus":0.048344156953462725,"score_gpt":0.3504394449355966,"score_spread":0.30209528798213386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907767058","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":[0.9784968,0.00062502833,0.018815272,0.0017173069,0.00022529298,0.00003884748,0.000002119094,0.000011797432,0.00006757356],"genre_scores_gemma":[0.99097145,0.00003923561,0.008442808,0.00017426905,0.00021407662,6.543954e-8,2.9456862e-7,0.000007139003,0.0001506568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832803,0.00016913601,0.00064161984,0.00014748255,0.0005936487,0.0001200555],"domain_scores_gemma":[0.99698526,0.0009915375,0.0006303372,0.00013623673,0.0011926072,0.00006402404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027466984,0.000086293265,0.00020460872,0.00015070933,0.00043983382,0.00013997973,0.00032546202,0.00012755813,0.000048585236],"category_scores_gemma":[0.0019260477,0.000050866347,0.00003862885,0.0004958626,0.00021381072,0.0001971886,0.00017901865,0.0002921359,0.0000038078176],"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":[0.000067989546,0.00004697047,0.94486576,0.0000034890065,0.000052418833,0.0000039561032,0.0011323246,0.00006308418,0.0080340225,0.034216654,0.002309659,0.009203661],"study_design_scores_gemma":[0.0005202196,0.00011787708,0.96356523,0.000041614334,0.000020651383,0.00024553813,0.0014685992,0.00071977195,0.0034730597,0.020656185,0.00906423,0.00010704656],"about_ca_topic_score_codex":0.0000016864569,"about_ca_topic_score_gemma":0.0000037533432,"teacher_disagreement_score":0.018699436,"about_ca_system_score_codex":0.0000125601455,"about_ca_system_score_gemma":0.000068016794,"threshold_uncertainty_score":0.33828905},"labels":[],"label_agreement":null},{"id":"W2913195808","doi":"10.4018/joeuc.2019040105","title":"Measuring E-Learners' Perceptions of Service Quality","year":2019,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TD Bank Group","funders":"","keywords":"SERVQUAL; Context (archaeology); Attractiveness; Perception; Psychology; Service quality; Quality (philosophy); Empathy; Scale (ratio); Knowledge management; Confirmatory factor analysis; Applied psychology; Service (business); Computer science; Social psychology; Marketing; Business","score_opus":0.029633197656473546,"score_gpt":0.3067499042955091,"score_spread":0.27711670663903554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913195808","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":[0.99524844,0.00005049337,0.0007891348,0.0018279988,0.00015350754,0.000025681133,8.6175714e-7,0.000007952451,0.0018959264],"genre_scores_gemma":[0.9949358,0.000024624327,0.0043555535,0.00011912706,0.00036845222,1.4842087e-8,0.0000013413485,0.0000057524016,0.0001892943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907595,0.00012875813,0.00028964144,0.00006369102,0.0003450065,0.0000969467],"domain_scores_gemma":[0.99892664,0.00015775813,0.00027533426,0.000035636884,0.00054629,0.000058348476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008583822,0.000046029996,0.00013726337,0.00006782155,0.00018520284,0.000030745075,0.000102169804,0.00003881634,0.00033807015],"category_scores_gemma":[0.00021187209,0.000041192186,0.000031840045,0.0003143498,0.000027970864,0.00018058943,0.000038870643,0.00014461756,0.00001153209],"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":[0.00000900588,0.000051534596,0.97013503,0.00004928651,0.000036859525,9.3145786e-7,0.010050032,0.0028557952,0.005075294,0.008597107,0.00004410491,0.003095025],"study_design_scores_gemma":[0.00088314875,0.00008396582,0.92672956,0.00024379879,0.000049153212,0.000033254077,0.05648272,0.0009491552,0.00032591555,0.0010624067,0.012919275,0.0002376175],"about_ca_topic_score_codex":0.00007427808,"about_ca_topic_score_gemma":0.00003714239,"teacher_disagreement_score":0.04643269,"about_ca_system_score_codex":0.000024873923,"about_ca_system_score_gemma":0.0002467271,"threshold_uncertainty_score":0.3701631},"labels":[],"label_agreement":null},{"id":"W3093842393","doi":"10.4018/joeuc.2020100107","title":"Business Analytics/Business Intelligence and IT Infrastructure","year":2020,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":61,"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; Times Higher Education; Missouri University of Science and Technology; National Center for Women and Information Technology; University of Nebraska-Lincoln; Western Washington University; National University of Singapore; National Science Foundation","keywords":"Business intelligence; Flexibility (engineering); Business analytics; Knowledge management; Analytics; Business; Computer science; Information technology management; Business activity monitoring; Process management; Business process; Business model; Information system; Data science; Business process modeling; Electronic business; Marketing; Management information systems; Management; Engineering","score_opus":0.04504953998476024,"score_gpt":0.24952236642958867,"score_spread":0.20447282644482842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093842393","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":[0.6173649,0.00060933654,0.35875702,0.021438887,0.00082039164,0.00011471224,0.0000080064665,0.00005576519,0.00083098916],"genre_scores_gemma":[0.9913931,0.0001416077,0.0021643017,0.0039438624,0.0022965306,8.082478e-8,0.000016953843,0.000021484304,0.000022074057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885094,0.0000070287547,0.00047809165,0.0001992816,0.00030176365,0.00016290983],"domain_scores_gemma":[0.9979407,0.00006313325,0.00043845194,0.00006845735,0.001447736,0.00004148425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001782141,0.0001777166,0.00026356045,0.0001682093,0.00019510524,0.00039966436,0.00025838398,0.00006556857,0.00030093367],"category_scores_gemma":[0.00062384503,0.00014415136,0.000023678322,0.0015607825,0.000091501206,0.0011048149,0.00033587535,0.00019015714,0.000012953904],"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":[0.00024174435,0.00018572775,0.7887844,0.0020790268,0.00029824322,0.00017639197,0.0012139919,0.0485665,0.002491639,0.043860946,0.0201672,0.0919342],"study_design_scores_gemma":[0.00060980074,0.00002937742,0.8010898,0.00045464674,0.00023261049,0.00042865216,0.0009217116,0.07940363,0.00024810698,0.005627863,0.11025209,0.0007016747],"about_ca_topic_score_codex":0.00002020153,"about_ca_topic_score_gemma":0.0000031044433,"teacher_disagreement_score":0.37402824,"about_ca_system_score_codex":0.000011091615,"about_ca_system_score_gemma":0.000061861334,"threshold_uncertainty_score":0.5878322},"labels":[],"label_agreement":null},{"id":"W3167191254","doi":"10.4018/joeuc.20210701.oa6","title":"Assessing Public Opinions of Products Through Sentiment Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","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 Saskatchewan","funders":"","keywords":"Sentiment analysis; Product (mathematics); Computer science; Process (computing); Social media; Word (group theory); User-generated content; Data science; Information retrieval; Natural language processing; World Wide Web; Linguistics; Mathematics","score_opus":0.038648806735345084,"score_gpt":0.294562860242331,"score_spread":0.25591405350698593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167191254","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":[0.2445787,0.0009881075,0.7502683,0.0035885647,0.0003496197,0.000020653972,0.0000010640164,0.000011888266,0.00019313539],"genre_scores_gemma":[0.86276263,0.00004588387,0.13685091,0.00011157544,0.00017581477,4.28403e-8,0.000013488844,0.0000048863285,0.000034747234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985649,0.00008803609,0.0005735155,0.00019612351,0.00044470213,0.00013272131],"domain_scores_gemma":[0.99797475,0.00011877733,0.0005628686,0.00015403023,0.0011292796,0.00006027393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041902863,0.00009092414,0.00029725864,0.00023768004,0.00017068454,0.00035900404,0.0002379754,0.000028108454,0.000061387254],"category_scores_gemma":[0.00015747898,0.000078905316,0.00011001512,0.002587887,0.000024743671,0.0008666551,0.00023934558,0.00009421205,9.747623e-7],"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":[0.0000043193004,0.00083642424,0.8157153,0.000121107834,0.0054240082,0.00009132908,0.0052251373,0.015029532,0.011547213,0.12534527,0.0017823495,0.018877974],"study_design_scores_gemma":[0.002266858,0.00016192127,0.6490294,0.00040181802,0.0016235851,0.00077374437,0.0031393052,0.25178793,0.072745174,0.0048236647,0.012292645,0.00095396634],"about_ca_topic_score_codex":0.0000020282896,"about_ca_topic_score_gemma":5.1166785e-7,"teacher_disagreement_score":0.618184,"about_ca_system_score_codex":0.000019352534,"about_ca_system_score_gemma":0.00022554844,"threshold_uncertainty_score":0.34618843},"labels":[],"label_agreement":null},{"id":"W3171569566","doi":"10.4018/joeuc.20210701.oa1","title":"The Moderating Effects of Leader-Member Exchange for Technology Acceptance","year":2021,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":13,"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":"Samsung; Kuwait University; Kyung Hee University; Zayed University; Sungkyunkwan University; Institut national de la recherche scientifique; University of South Carolina; DePaul University; Northwestern University","keywords":"Moderation; Psychology; Supervisor; Test (biology); Technology acceptance model; Process (computing); Quality (philosophy); Social psychology; Hierarchy; Knowledge management; Public relations; Management; Computer science; Usability; Political science","score_opus":0.054818956854298787,"score_gpt":0.34362825862783647,"score_spread":0.2888093017735377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171569566","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":[0.89001626,0.0019091581,0.103263654,0.0042870105,0.00041666572,0.000059335234,0.0000020001437,0.000014486285,0.000031427287],"genre_scores_gemma":[0.9853074,0.000067534835,0.014058511,0.00014612879,0.00012535219,5.5858914e-7,6.628488e-7,0.000008712801,0.000285156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987232,0.000054234628,0.0005726219,0.00014197412,0.0003754327,0.00013254298],"domain_scores_gemma":[0.996569,0.001325933,0.0005279599,0.00013325228,0.0014093078,0.000034583576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072384556,0.00007808513,0.00021600082,0.00015331017,0.00034246396,0.00008890338,0.000293794,0.00009522179,0.000036286438],"category_scores_gemma":[0.003342637,0.00005050419,0.000056334127,0.0006939928,0.00010222825,0.00012974309,0.00014605722,0.00017315356,0.0000015343552],"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":[0.000061881554,0.00027437674,0.66163456,0.000111910595,0.00019037377,0.00007277599,0.0023522733,0.0017908879,0.05293796,0.083970055,0.0069973343,0.18960562],"study_design_scores_gemma":[0.0051104515,0.00053286774,0.5333479,0.00046191344,0.00018188012,0.0023017116,0.009522222,0.02175627,0.24567851,0.14714046,0.03330966,0.00065610895],"about_ca_topic_score_codex":2.5622398e-7,"about_ca_topic_score_gemma":0.0000033213103,"teacher_disagreement_score":0.19274056,"about_ca_system_score_codex":0.000013497221,"about_ca_system_score_gemma":0.00009490273,"threshold_uncertainty_score":0.40016901},"labels":[],"label_agreement":null},{"id":"W3172084072","doi":"10.4018/joeuc.20210901.oa1","title":"Emotions and Spillover Effects of Social Networks Affective Well Being","year":2021,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":11,"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 Illinois at Chicago; University of Illinois at Urbana-Champaign; University of British Columbia; University of Akron","keywords":"Spillover effect; Psychology; Perception; Interface (matter); Cognitive psychology; Action (physics); Social psychology; Eye tracking; Social network (sociolinguistics); Computer science; Human–computer interaction; Social media; World Wide Web; Artificial intelligence","score_opus":0.00465121874635642,"score_gpt":0.2479994791613877,"score_spread":0.24334826041503127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172084072","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":[0.98947835,0.0002055869,0.008079631,0.0009889859,0.00030141475,0.000038272425,4.4102788e-7,0.000011186638,0.0008961548],"genre_scores_gemma":[0.99836075,0.00007091172,0.0009755225,0.00013694378,0.00035433017,2.4565963e-8,7.728044e-7,0.0000068281315,0.000093925264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993379,0.000095866795,0.00017678876,0.00007161116,0.00019531707,0.00012247592],"domain_scores_gemma":[0.9992238,0.00017974831,0.0002084923,0.000023018543,0.0003122099,0.00005269755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024390752,0.00005811258,0.00015129033,0.000057091544,0.00041894533,0.000040605864,0.00006237777,0.0000829332,0.00003311454],"category_scores_gemma":[0.00042168295,0.000056498768,0.000029940864,0.00029023242,0.0001351653,0.0001202112,0.000073382624,0.0001595606,4.88222e-7],"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":[0.000021859934,0.00030368898,0.9100236,0.00013845478,0.00029760663,0.000096385804,0.014964569,0.0004887874,0.0029316084,0.058268607,0.0017189726,0.0107458485],"study_design_scores_gemma":[0.00077419734,0.00005445322,0.99241614,0.00017844731,0.00006509448,0.000076119824,0.0013643112,0.00040812814,0.0013292355,0.0025963034,0.00062563544,0.0001119055],"about_ca_topic_score_codex":0.000009947674,"about_ca_topic_score_gemma":0.000007718246,"teacher_disagreement_score":0.08239256,"about_ca_system_score_codex":0.000035724173,"about_ca_system_score_gemma":0.00009240433,"threshold_uncertainty_score":0.32222313},"labels":[],"label_agreement":null},{"id":"W4387618060","doi":"10.4018/joeuc.332062","title":"Cybersecurity and Social Media Networks for Donations","year":2023,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":4,"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 Illinois at Urbana-Champaign; McDonnell Center for Systems Neuroscience; Université Laval; North Dakota State University","keywords":"Loyalty; Theory of reasoned action; Mediation; Social media; Affect (linguistics); Psychology; Social psychology; Action (physics); Internet privacy; Business; Computer science; Marketing; Political science; World Wide Web; Law","score_opus":0.021690872903229838,"score_gpt":0.2776741367161749,"score_spread":0.25598326381294506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387618060","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":[0.9900614,0.00012058585,0.0024640372,0.0046137935,0.00094467064,0.00007024907,0.000010008361,0.000046272107,0.0016689601],"genre_scores_gemma":[0.99738157,0.000080541104,0.0005116962,0.000104715065,0.0018286146,2.3578352e-7,0.000009181454,0.0000074548648,0.0000759879],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99934024,0.000057456902,0.0001834848,0.000064042564,0.00021797475,0.00013678802],"domain_scores_gemma":[0.99830043,0.0011775022,0.00013226988,0.000012008733,0.00030796393,0.0000698069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094290305,0.000047247177,0.000108414024,0.00006761123,0.0006965963,0.00010930076,0.00006263031,0.000055391236,0.000011337257],"category_scores_gemma":[0.0013685853,0.00004527286,0.00002850677,0.00030657838,0.00010801196,0.00013363903,0.000035281297,0.00007986617,6.367949e-7],"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":[0.000055584784,0.00011038214,0.11642909,0.00007461666,0.00017119966,0.000016466773,0.20699279,0.00050324464,0.000039851722,0.586248,0.021451173,0.0679076],"study_design_scores_gemma":[0.0022526383,0.00009576384,0.742707,0.00016278007,0.00013309257,0.00002986714,0.058323853,0.0072898404,0.0000097666025,0.0792176,0.10918829,0.0005894822],"about_ca_topic_score_codex":0.0000076037045,"about_ca_topic_score_gemma":0.000039513976,"teacher_disagreement_score":0.6262779,"about_ca_system_score_codex":0.000020523315,"about_ca_system_score_gemma":0.000090691436,"threshold_uncertainty_score":0.53577256},"labels":[],"label_agreement":null},{"id":"W4396674761","doi":"10.4018/joeuc.343256","title":"Application of AdaBound-Optimized XGBoost-LSTM Model for Consumer Credit Assessment in Banking Industries","year":2024,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","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":"University of British Columbia","funders":"","keywords":"Computer science; Banking industry; Business; Financial system","score_opus":0.015726623771627448,"score_gpt":0.24698448749927676,"score_spread":0.2312578637276493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396674761","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":[0.4366103,0.00032999623,0.56196564,0.00042585077,0.00033579205,0.00012500408,0.00001032731,0.000019604646,0.00017745681],"genre_scores_gemma":[0.994601,0.000022216853,0.0044963225,0.00009681179,0.00071894424,0.0000015295371,0.00003409118,0.000014083182,0.0000149661955],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916756,0.0000047723606,0.00043267105,0.000108243934,0.00019140384,0.00009535561],"domain_scores_gemma":[0.9992363,0.00007858782,0.00027024516,0.00003637574,0.00037058175,0.000007898322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032638057,0.00008484382,0.000171837,0.00021649105,0.000092753995,0.00015415631,0.00007459418,0.00005516567,0.000017853314],"category_scores_gemma":[0.000079507314,0.00007410753,0.000034177796,0.00036942374,0.000028104212,0.0005182182,0.00005176983,0.00013347586,5.702694e-7],"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":[0.00020314373,0.00033286557,0.34244412,0.0016194171,0.0002157248,0.0000143393545,0.0008565781,0.27158406,0.0028370412,0.31857803,0.004698352,0.05661631],"study_design_scores_gemma":[0.0005575156,0.000010781544,0.044032827,0.0002325255,0.00005471401,0.0000064656106,0.000104547675,0.9475916,0.00004136141,0.005216614,0.0020645817,0.00008648323],"about_ca_topic_score_codex":0.000029589597,"about_ca_topic_score_gemma":0.000004693876,"teacher_disagreement_score":0.6760075,"about_ca_system_score_codex":0.000032887572,"about_ca_system_score_gemma":0.0001103195,"threshold_uncertainty_score":0.30220175},"labels":[],"label_agreement":null},{"id":"W4403914160","doi":"10.4018/joeuc.359770","title":"Drug Recognition Detection Based on Deep Learning and Improved YOLOv8","year":2024,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"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 Saskatchewan","funders":"","keywords":"Computer science; Deep learning; Drug; Artificial intelligence; Machine learning; Pharmacology; Medicine","score_opus":0.01566009002378824,"score_gpt":0.23430208478214795,"score_spread":0.21864199475835971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403914160","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":[0.9390268,0.00009504651,0.05901022,0.00092374126,0.00057214755,0.00005390084,0.0000012246907,0.00007004089,0.0002469098],"genre_scores_gemma":[0.9988524,0.000037968337,0.00047006717,0.00028770743,0.00025927275,2.760819e-7,0.0000015176452,0.0000144677815,0.00007632212],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992927,0.00009246431,0.00021525429,0.00015688484,0.00016337013,0.000079362566],"domain_scores_gemma":[0.9993597,0.00033920753,0.00012894279,0.000024239278,0.00009317801,0.000054678545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026587068,0.0000750404,0.0000772903,0.00017382829,0.00022963755,0.00015837075,0.00003356328,0.000031865642,0.00005317637],"category_scores_gemma":[0.00045380113,0.000064793756,0.000023151213,0.0003195509,0.000029911687,0.00015953963,0.000014874854,0.00025495506,0.0000066039765],"study_design_candidate":"bench_or_experimental","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":[0.000081634644,0.00006262946,0.0018153661,0.00009411607,0.000013291684,0.000023494531,0.00070647657,0.0014215196,0.696529,0.00045491222,0.000042237265,0.29875538],"study_design_scores_gemma":[0.00056276325,0.00023809142,0.013674664,0.00015912634,0.000029109086,0.00061668444,0.0002413108,0.8118889,0.16880292,0.0009043153,0.0027033454,0.00017877038],"about_ca_topic_score_codex":9.941635e-7,"about_ca_topic_score_gemma":0.0000010771608,"teacher_disagreement_score":0.81046736,"about_ca_system_score_codex":0.00003425771,"about_ca_system_score_gemma":0.000026636124,"threshold_uncertainty_score":0.26422125},"labels":[],"label_agreement":null},{"id":"W4408733649","doi":"10.4018/joeuc.371759","title":"The Optimization of Advertising Content and Prediction of Consumer Response Rate Based on Generative Adversarial Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"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":"Adversarial system; Generative grammar; Computer science; Content (measure theory); Advertising; Artificial intelligence; Mathematics; Business","score_opus":0.0144510945230814,"score_gpt":0.23067936382787493,"score_spread":0.21622826930479352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408733649","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":[0.14557472,0.0003090596,0.85328853,0.00049237354,0.00027965783,0.000034933775,9.966417e-7,0.000003331196,0.00001642953],"genre_scores_gemma":[0.9826056,0.00008468561,0.017109215,0.00012209994,0.00005604236,7.996981e-8,0.000002176191,0.0000027637639,0.00001734218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990484,0.00021705718,0.00041716982,0.00008994701,0.0001650405,0.00006234821],"domain_scores_gemma":[0.99827486,0.00078369933,0.0004078878,0.00006241735,0.00044642805,0.00002471368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009774854,0.00006158107,0.00014170348,0.00012646832,0.00018740472,0.000059367678,0.00010151779,0.00002765637,0.000004116442],"category_scores_gemma":[0.00026774645,0.000043357595,0.00003144312,0.0003293947,0.000047283458,0.00012483264,0.00005797245,0.000067461864,2.8609936e-8],"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":[0.00028494967,0.000031321328,0.027887711,0.0000070016595,0.00010508224,9.827446e-7,0.00025537843,0.96492803,0.0013351945,0.0027831811,0.00013597733,0.002245177],"study_design_scores_gemma":[0.00067833386,0.000079373305,0.061548956,0.00009955398,0.00002819878,0.000003145151,0.0000760004,0.93593276,0.0014294382,0.000038889302,0.00005459978,0.000030739833],"about_ca_topic_score_codex":0.0000017773735,"about_ca_topic_score_gemma":2.5576145e-7,"teacher_disagreement_score":0.8370309,"about_ca_system_score_codex":0.00001663211,"about_ca_system_score_gemma":0.00008735241,"threshold_uncertainty_score":0.17680715},"labels":[],"label_agreement":null},{"id":"W4415007618","doi":"10.4018/joeuc.389737","title":"Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Video Analysis and Summarization","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":"McGill University","funders":"","keywords":"Reinforcement learning; Latency (audio); Artificial neural network; Graph; Sensitivity (control systems); Deep learning","score_opus":0.029342183514951558,"score_gpt":0.3212961060749812,"score_spread":0.29195392256002967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415007618","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":[0.32086757,0.000104412116,0.6785038,0.00023479133,0.00010719203,0.000037802165,1.0417533e-7,0.000012161666,0.00013214008],"genre_scores_gemma":[0.9678508,0.000039442326,0.031730574,0.00017932456,0.00013367351,2.251868e-7,0.000002710989,0.000008818879,0.00005442547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981914,0.00007824482,0.00061149226,0.0002426758,0.00066191674,0.00021423626],"domain_scores_gemma":[0.9983406,0.00054736907,0.00015705691,0.0001191361,0.0007537303,0.00008209456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001508296,0.00012521134,0.00022708022,0.000592973,0.0006752266,0.00039125484,0.00029478522,0.00006905218,0.000010684475],"category_scores_gemma":[0.00033907057,0.00010369489,0.000045825396,0.0009055621,0.000028163235,0.0005521226,0.00041144755,0.00041708496,0.000001350673],"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":[0.000028434062,0.000033455726,0.070868105,0.000017040173,0.00006747412,0.000013172788,0.00053203804,0.88244945,0.00013765233,0.015106152,0.00009644838,0.030650597],"study_design_scores_gemma":[0.0002880657,0.00008216652,0.007445299,0.00031330544,0.000012910594,0.00002917274,0.00018311857,0.9880066,0.00007491125,0.0032691846,0.00019385654,0.00010144116],"about_ca_topic_score_codex":0.000012511939,"about_ca_topic_score_gemma":0.0000040016043,"teacher_disagreement_score":0.6469832,"about_ca_system_score_codex":0.0000793413,"about_ca_system_score_gemma":0.00012353063,"threshold_uncertainty_score":0.5193366},"labels":[],"label_agreement":null},{"id":"W4416581494","doi":"10.4018/joeuc.393390","title":"Bayesian-Based Green Financial Risk Modeling With Fuzzy Logic and Attention-Driven Feature Selection","year":2025,"lang":"ng","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"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":"Interpretability; Feature selection; Fuzzy logic; Feature (linguistics); Bayesian network; Key (lock); Selection (genetic algorithm); Focus (optics)","score_opus":0.023395424479976445,"score_gpt":0.2998945485334972,"score_spread":0.27649912405352073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416581494","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":[0.41105878,0.00041745498,0.5869623,0.0009891915,0.0003396877,0.00007802261,0.000005939944,0.000010909464,0.0001376865],"genre_scores_gemma":[0.8602226,0.00003724798,0.13868178,0.00026670189,0.00047066435,2.1607201e-7,0.000002725277,0.000017254531,0.0003008068],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99726456,0.00045699647,0.0008018422,0.00040312592,0.0008142031,0.00025926947],"domain_scores_gemma":[0.9956233,0.0014808775,0.00095290365,0.00010739896,0.0016986422,0.00013686594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025044975,0.0002543628,0.0004663577,0.0005822787,0.00089050404,0.0003739615,0.00025346788,0.00018390777,0.000053145664],"category_scores_gemma":[0.0031357817,0.00019050784,0.00008211858,0.0018117917,0.000096819254,0.00029118138,0.00014188977,0.0006200237,0.0000010065745],"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":[0.00025451535,0.00007190501,0.7449169,0.000061745624,0.00010764389,0.000019148423,0.00032212868,0.22153772,0.00020016344,0.0010961471,0.0005234431,0.030888509],"study_design_scores_gemma":[0.0011071861,0.00020225649,0.22469106,0.0004972659,0.00018408372,0.00021492847,0.00016534704,0.76373845,0.000026716154,0.0088429265,0.00014023566,0.000189527],"about_ca_topic_score_codex":0.000030105488,"about_ca_topic_score_gemma":0.000023303899,"teacher_disagreement_score":0.54220074,"about_ca_system_score_codex":0.00008384845,"about_ca_system_score_gemma":0.0006431573,"threshold_uncertainty_score":0.7768684},"labels":[],"label_agreement":null}]}