{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"378f32f1ef22","filters":{"venue":"Pacific Asia journal of the Association for Information Systems"}},"results":[{"id":"W4386871570","doi":"10.17705/1pais.14601","title":"Artificial Intelligence in Human Resources Management: A Review and Research Agenda","year":2022,"lang":"en","type":"review","venue":"Pacific Asia journal of the Association for Information Systems","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Human resources; Human resource management; Knowledge management; Strategic human resource planning; Software deployment; Dimension (graph theory); Organizational behavior and human resources; Human intelligence; Human resource management system; Resource management (computing); Management science; Computer science; Organizational performance; Artificial intelligence; Management; Engineering","authors":[{"name":"Daniel Gélinas","is_ca":true},{"name":"Arman Sadreddin","is_ca":true},{"name":"Rustam Vahidov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1183197727796654,"gpt":0.3580339287842562,"spread":0.2397141560045908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006790932,0.0008838304,0.002144044,0.009958264,0.001079529,0.004923873,0.001528948,0.003546824,0.00476541],"category_scores_gemma":[0.01367143,0.0006335102,0.001862174,0.01553263,0.001809589,0.004887186,0.001614726,0.002677372,0.0008577417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003285281,"about_ca_system_score_gemma":0.01387907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005018144,"about_ca_topic_score_gemma":0.007818848,"domain_scores_codex":[0.9969458,0.001127378,0.000656555,0.0002891451,0.0008098346,0.0001713643],"domain_scores_gemma":[0.9680248,0.02652989,0.001944795,0.0002847395,0.002829169,0.0003865386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008077272,0.0001233435,0.0008573324,0.2473251,0.0004190524,0.0003477583,0.001463462,0.0007279458,0.0003644704,0.01599265,0.02664733,0.7056507],"study_design_scores_gemma":[0.00002530185,0.0001314821,0.003692681,0.4398722,0.001169753,0.000954515,0.002061855,0.0003325959,0.0002541393,0.009543498,0.5418969,0.00006509847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008958951,0.9983099,0.00008512545,0.0009037824,0.0001509776,0.00000893896,0.000009529521,0.000001826986,0.0004403409],"genre_scores_gemma":[0.001128024,0.9980527,0.0001877405,0.0003562433,0.0001636029,0.0000210376,0.0000146884,0.000001104867,0.00007475438],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009958264,"threshold_uncertainty_score":0.0359143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2904138048","doi":"10.17705/1pais.10101","title":"A Review of Design Science Research in Information Systems: Concept, Process, Outcome, and Evaluation","year":2018,"lang":"en","type":"review","venue":"Pacific Asia journal of the Association for Information Systems","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Relevance (law); Design science research; Field (mathematics); Confusion; Engineering ethics; Design science; Computer science; Process (computing); Management science; Research design; Outcome (game theory); Foundation (evidence); Data science; Information system; Sociology; Knowledge management; Psychology; Social science; Engineering; Political science","authors":[{"name":"Qi Deng","is_ca":true},{"name":"Shaobo Ji","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1985840773352485,"gpt":0.4952718041563184,"spread":0.2966877268210698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02100039,0.001642507,0.003495849,0.01399519,0.001303394,0.005083569,0.001660841,0.003492366,0.004346687],"category_scores_gemma":[0.05756385,0.001029513,0.00199629,0.01817679,0.002628793,0.00609805,0.001745327,0.002819179,0.00132875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007736824,"about_ca_system_score_gemma":0.02059314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005213182,"about_ca_topic_score_gemma":0.009214593,"domain_scores_codex":[0.9778096,0.009770917,0.004310286,0.001107175,0.006643735,0.0003582904],"domain_scores_gemma":[0.903018,0.07799019,0.00406726,0.001554076,0.01265672,0.0007137436],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007998095,0.0001002127,0.0007015435,0.223445,0.000532914,0.0001226988,0.000799716,0.0006925885,0.0006492556,0.02220024,0.02209707,0.7285788],"study_design_scores_gemma":[0.00007356968,0.000386385,0.00389352,0.3117143,0.002156142,0.0008152353,0.001148806,0.0004454242,0.0008655645,0.01619643,0.6621971,0.0001075287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001593843,0.9963691,0.0008385536,0.00100612,0.0002552488,0.00006177527,0.00003573411,0.00000877707,0.001265223],"genre_scores_gemma":[0.002837035,0.9942504,0.001907269,0.0004521155,0.0001440393,0.0001321508,0.00003859204,0.000006074974,0.0002322485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9789996,"threshold_uncertainty_score":0.111062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2994875086","doi":"10.17705/1pais.11403","title":"Social Capital and ICT Intervention: A Holistic Model of Value","year":2019,"lang":"en","type":"article","venue":"Pacific Asia journal of the Association for Information Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Social capital; Popularity; Information and Communications Technology; Ambivalence; Intervention (counseling); Knowledge management; Value (mathematics); Capital (architecture); Business; Sociology; Psychology; Social psychology; Computer science; Social science; World Wide Web; Geography","authors":[{"name":"Zafor Ahmed","is_ca":false},{"name":"Vinod Kumar","is_ca":true},{"name":"Uma Kumar","is_ca":true},{"name":"Evren Eryilmaz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02816175428829644,"gpt":0.2888930558488562,"spread":0.2607313015605597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003343916,0.0007536397,0.0004357246,0.003325206,0.001483617,0.005986739,0.001077131,0.001715159,0.003680098],"category_scores_gemma":[0.005987472,0.0002463042,0.0007061014,0.002332559,0.01105702,0.005799111,0.004266356,0.00135987,0.0002541862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005669717,"about_ca_system_score_gemma":0.007272445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525921,"about_ca_topic_score_gemma":0.003003679,"domain_scores_codex":[0.9961393,0.002715582,0.00008564912,0.000272972,0.0004160761,0.0003703524],"domain_scores_gemma":[0.9952713,0.003109279,0.0005874046,0.0002197121,0.0003307354,0.0004815128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000751468,0.0002692979,0.01218325,0.001084831,0.0001350648,0.0003573107,0.0109848,0.004625221,0.0004368178,0.9056177,0.001470039,0.06276057],"study_design_scores_gemma":[0.00005992913,0.0004201691,0.0156985,0.002810808,0.0002990382,0.0004263249,0.01740456,0.01735685,0.0007318688,0.9089899,0.03573662,0.00006547464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.326195,0.0133127,0.1551003,0.06494773,0.000403895,0.00165823,0.0005604335,0.0002033158,0.4376183],"genre_scores_gemma":[0.9823238,0.002774621,0.01242913,0.0004769678,0.00003916576,0.0003208719,0.00003891444,0.000007819031,0.001588722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005986739,"threshold_uncertainty_score":0.04113686,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W386759688","doi":"10.17705/1pais.02304","title":"Promote Product Reviews of High Quality on Ecommerce Sites","year":2010,"lang":"en","type":"article","venue":"Pacific Asia journal of the Association for Information Systems","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Leverage (statistics); Quality (philosophy); Product (mathematics); Task (project management); User-generated content; Data science; World Wide Web; Artificial intelligence; Social media; Engineering","authors":[{"name":"Shen Huang","is_ca":false},{"name":"Dan Shen","is_ca":false},{"name":"Wei Feng","is_ca":true},{"name":"Catherine Baudin","is_ca":false},{"name":"Yongzheng Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02813917500349136,"gpt":0.2899114777481229,"spread":0.2617723027446316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004832216,0.0009488667,0.001117858,0.006698169,0.001130323,0.004763057,0.0007496843,0.00125748,0.005072249],"category_scores_gemma":[0.04148432,0.0005414986,0.0006616615,0.003981971,0.0004603377,0.003185842,0.0009238287,0.001099813,0.004614907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008047002,"about_ca_system_score_gemma":0.0008560361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002574796,"about_ca_topic_score_gemma":0.008796795,"domain_scores_codex":[0.9954267,0.001484894,0.000292412,0.0006104587,0.001932794,0.0002528323],"domain_scores_gemma":[0.9358232,0.02556835,0.009743556,0.003536542,0.02233026,0.002998098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001271954,0.001377292,0.2031251,0.002915264,0.0006290463,0.001245248,0.003070703,0.003646505,0.04021386,0.00150703,0.06486535,0.6761326],"study_design_scores_gemma":[0.0003200389,0.002659017,0.7622761,0.0007078677,0.0009774953,0.002844979,0.002737844,0.06506834,0.03834179,0.003755499,0.1199817,0.0003293856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8895305,0.008025706,0.04258992,0.004557251,0.0009441449,0.00193141,0.003926444,0.008013648,0.04048083],"genre_scores_gemma":[0.9016678,0.002178103,0.0731262,0.001005543,0.00131318,0.0002204976,0.003037402,0.0009911651,0.01646019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006698169,"threshold_uncertainty_score":0.02555555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386916412","doi":"10.17705/1pais.15203","title":"Mobile Curated News Readers’ Intention to Read Full-length Articles: Focusing on Heuristic and Systematic Factors","year":2023,"lang":"en","type":"article","venue":"Pacific Asia journal of the Association for Information Systems","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor; Dalhousie University","funders":"","keywords":"Reading (process); Computer science; Heuristic; Information retrieval; World Wide Web; Artificial intelligence; Linguistics","authors":[{"name":"Malti Puri","is_ca":true},{"name":"Kyung Young Lee","is_ca":true},{"name":"Hélène Deval","is_ca":true},{"name":"Qi Deng","is_ca":true},{"name":"Paola González","is_ca":true},{"name":"Young Ho Song","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02658659847625435,"gpt":0.280705039404783,"spread":0.2541184409285287,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002967211,0.0003011671,0.0002911907,0.0008222504,0.0003644735,0.002195111,0.0002997603,0.000603098,0.00364285],"category_scores_gemma":[0.0253604,0.0002887892,0.0005028225,0.0005081197,0.0008078758,0.001548324,0.0006238008,0.000831483,0.000694695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052341,"about_ca_system_score_gemma":0.0006511332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003270407,"about_ca_topic_score_gemma":0.005276622,"domain_scores_codex":[0.9986604,0.0004929305,0.0001461283,0.0002145831,0.0003400116,0.000145997],"domain_scores_gemma":[0.9653905,0.02190871,0.007318154,0.001134612,0.002819689,0.001428425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003361161,0.0005583839,0.925926,0.0004205664,0.0001377542,0.0002877153,0.044287,0.0001506186,0.003032506,0.0004299777,0.0006044458,0.02382886],"study_design_scores_gemma":[0.00001741315,0.0003359221,0.9757944,0.0001402755,0.000103327,0.0001110573,0.0198087,0.001074376,0.0009131057,0.0004488268,0.00122051,0.0000321472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967057,0.0001169778,0.0004943069,0.0001343136,0.000007295374,0.00003612349,0.00004638534,0.00001113171,0.002447775],"genre_scores_gemma":[0.9984828,0.000126358,0.0005141662,0.00007435372,0.00001021317,0.00003227713,0.0000730835,0.000008181877,0.0006785875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00364285,"threshold_uncertainty_score":0.01569229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}