{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":37,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":37,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"980b0d530d8a","filters":{"venue":"IEEE Engineering Management Review"}},"results":[{"id":"W4312753855","doi":"10.1109/emr.2022.3222937","title":"The 5-th Generation Stage-Gate Idea-to-Launch Process","year":2022,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Pipeline (software); Computer science; Artificial intelligence; Algorithm; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02030113212975354,"gpt":0.2770993309556196,"spread":0.256798198825866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001265218,0.000173271,0.0001600143,0.00009273222,0.0002921601,0.000195962,0.001279135,0.0000123983,0.00002562403],"category_scores_gemma":[0.00005516726,0.0001439982,0.0000633548,0.0008272242,0.000004050657,0.0002778322,0.0003598242,0.0002098982,0.00002726377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008741458,"about_ca_system_score_gemma":0.00001310051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000045656,"about_ca_topic_score_gemma":4.490428e-7,"domain_scores_codex":[0.9986097,0.0000541376,0.0002728498,0.0003332047,0.000442029,0.0002881284],"domain_scores_gemma":[0.998984,0.00008108886,0.00008518016,0.0007475418,0.00003423803,0.00006798827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001624159,0.00003088947,0.000006443293,0.002402353,0.00008291093,0.00004884115,0.00008432716,0.7361768,0.00005800858,0.03792906,0.04240343,0.1807753],"study_design_scores_gemma":[0.00004240036,0.00004441725,0.00003211306,0.0001691028,0.00001700852,0.000007632062,0.000002669036,0.1177063,0.00007306214,0.00004997921,0.8816563,0.000199036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001844042,0.0187041,0.9758949,0.001879923,0.0010891,0.0009182942,0.000002165995,0.0009190866,0.000408063],"genre_scores_gemma":[0.2314715,0.2212665,0.4893609,0.01501669,0.001461785,0.01798199,0.00005610884,0.0004029615,0.02298159],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8392528,"threshold_uncertainty_score":0.5872076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400062770","doi":"10.1109/emr.2024.3419268","title":"Why AI Projects Fail: Lessons From New Product Development","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"New product development; Product (mathematics); Business; Computer science; Engineering management; Engineering; Process management; Risk analysis (engineering); Systems engineering; Marketing; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.07098033649776332,"gpt":0.295713073462488,"spread":0.2247327369647247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003547911,0.0004092889,0.0003773751,0.0003399806,0.00007972133,0.0006850108,0.0006146257,0.00004453395,0.0006356569],"category_scores_gemma":[0.0000468679,0.0003548435,0.0001132632,0.001318462,0.00001530015,0.001391101,0.00027667,0.0002365438,0.00216396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006787154,"about_ca_system_score_gemma":0.00004105905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003406166,"about_ca_topic_score_gemma":0.00003440684,"domain_scores_codex":[0.9979005,0.00000528188,0.0004802731,0.0007426594,0.0004305587,0.0004406655],"domain_scores_gemma":[0.9992217,0.00002153303,0.00007592097,0.0005877057,0.00006332603,0.00002980706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002541998,0.00003231165,0.00003086358,0.02405861,0.0002009688,0.00009044768,0.00002900091,0.0003387079,0.00007238115,0.009609877,0.6588604,0.3066738],"study_design_scores_gemma":[0.00006516041,0.000001639275,0.000204144,0.0117752,0.0002281849,0.000002286539,0.000005718497,0.002074069,0.0001740357,0.00017547,0.9848368,0.0004572599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001330448,0.477316,0.4280827,0.05123585,0.01551427,0.005564171,0.00002189662,0.005161828,0.01577285],"genre_scores_gemma":[0.261117,0.3475561,0.08390977,0.1805559,0.0527324,0.004450343,0.004016778,0.002234732,0.06342691],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3441729,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017435866","doi":"10.1109/emr.2007.382639","title":"RFID Technologies: Supply-Chain Applications and Implementations Issues","year":2007,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"RFID technology advancements","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Implementation; Supply chain; Computer science; Business; Chain (unit); Telecommunications; Systems engineering; Industrial organization; Embedded system; Engineering; Software engineering; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.007164948940628585,"gpt":0.2689497048238668,"spread":0.2617847558832382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000306221,0.0002324933,0.0002422018,0.0002941489,0.0000580647,0.00001800893,0.0002722112,0.00006432793,0.00002812586],"category_scores_gemma":[0.00001104168,0.0002544405,0.00003966743,0.0006036724,0.00003419693,0.0001311051,0.00007704443,0.0001695965,0.00005835496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008271966,"about_ca_system_score_gemma":0.000001401684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000145809,"about_ca_topic_score_gemma":0.000003494939,"domain_scores_codex":[0.9988484,0.000003697517,0.0003773544,0.0002503253,0.0001374615,0.0003827697],"domain_scores_gemma":[0.9993935,0.00003149542,0.00003582282,0.0004777531,0.00001852362,0.00004286415],"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":[0.000001671493,0.00006941236,0.0006107169,0.01855398,0.0005890522,0.0000637845,0.00005545574,0.00816716,0.003913426,0.05688605,0.02780963,0.8832797],"study_design_scores_gemma":[0.0002439473,0.00001651933,0.000601855,0.00103709,0.0001126667,0.00001248124,0.0001053207,0.001096578,0.002796383,0.0004534389,0.993107,0.0004167001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001548893,0.177776,0.8076332,0.0009843555,0.0003428328,0.002957065,0.0000190632,0.006221839,0.002516709],"genre_scores_gemma":[0.1705562,0.696861,0.1285238,0.0003789439,0.00009899855,0.002684798,0.00006921558,0.0001709898,0.0006559601],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9652974,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135780857","doi":"10.1109/emr.2021.3063688","title":"A Team-Based Workshop to Capture Organizational Knowledge for Identifying AI Proof-of-Value Projects","year":2021,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Value (mathematics); Proof of concept; Knowledge management; Applications of artificial intelligence; Point (geometry); Engineering; Computer science; Engineering management; Artificial intelligence; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03347478195598758,"gpt":0.2853040600338886,"spread":0.251829278077901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002111186,0.0002329659,0.0003149611,0.0001686224,0.00002833265,0.00006487544,0.0002138735,0.00006992029,0.00004079713],"category_scores_gemma":[0.00008879785,0.0002567377,0.0001136193,0.001117775,0.000007326114,0.0002094385,0.00002787182,0.0001488707,0.00002850645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108606,"about_ca_system_score_gemma":0.00004243979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.043643e-7,"about_ca_topic_score_gemma":8.122898e-7,"domain_scores_codex":[0.9988222,0.00001114558,0.0004642237,0.0002211277,0.0002129023,0.0002684472],"domain_scores_gemma":[0.9993485,0.00005755762,0.00003351215,0.0003026066,0.0001723123,0.00008551533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002116622,0.00007786781,0.00001292881,0.0807304,0.0002172854,0.00000908561,0.0001649254,0.8645657,0.0003312068,0.006021,0.0380555,0.009811969],"study_design_scores_gemma":[0.001237993,0.0000406232,0.00008412128,0.05113051,0.0005210671,0.00002050197,0.0001456648,0.1736721,0.05112744,0.0001270009,0.7203615,0.001531468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002211052,0.0152992,0.9701237,0.0003372959,0.001149826,0.002109888,0.00003127714,0.0004450692,0.01028261],"genre_scores_gemma":[0.8173957,0.004498637,0.1613577,0.002617466,0.0008580876,0.005078013,0.0007313094,0.000803212,0.006659778],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8171747,"threshold_uncertainty_score":0.9999885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404708690","doi":"10.1109/emr.2024.3499749","title":"AI in New Product Development: Opportunities, Applications, and Managerial Implications","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"New product development; Product (mathematics); Business; Industrial organization; Process management; Engineering; Manufacturing engineering; Marketing; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.07359255557895597,"gpt":0.2866376639213817,"spread":0.2130451083424257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457886,0.0002219755,0.0002194354,0.0004094614,0.0000576319,0.0003545885,0.0003052528,0.00002796447,0.0001054172],"category_scores_gemma":[0.00001229886,0.0002148737,0.00003506406,0.000959685,0.00001692004,0.0009070199,0.0001642453,0.000128893,0.0002545732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000409782,"about_ca_system_score_gemma":0.00003358298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003635371,"about_ca_topic_score_gemma":0.00001281435,"domain_scores_codex":[0.9987609,0.000003208654,0.0003955671,0.0004382164,0.0001505458,0.000251595],"domain_scores_gemma":[0.9995259,0.00001374673,0.00004837977,0.0003597958,0.00003035421,0.00002179049],"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":[0.000001248358,0.00002308144,0.00005054926,0.02421315,0.00004264686,0.00001802955,0.000006210797,0.00005637445,0.00002726185,0.1351654,0.06560747,0.7747886],"study_design_scores_gemma":[0.00005310623,7.173541e-7,0.001014933,0.003361715,0.00007401888,0.00000447579,0.000003821464,0.0005426977,0.000008089472,0.0004099878,0.9942761,0.0002503368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005864357,0.5848083,0.3277309,0.04169317,0.003433789,0.008046475,0.00001451439,0.00240323,0.03128313],"genre_scores_gemma":[0.1142158,0.7722301,0.02602525,0.03427943,0.01175762,0.006844972,0.001703317,0.0006150982,0.03232835],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9286686,"threshold_uncertainty_score":0.8762296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382677794","doi":"10.1109/emr.2023.3288432","title":"Considerations for Using Artificial Intelligence to Manage Authorized Push Payment (APP) Scams","year":2023,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Blockchain Technology Applications and Security","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":"TD Bank Group; York University","funders":"","keywords":"Payment; Liability; Business; Sociotechnical system; Computer security; Service provider; Investment (military); Identity theft; Service (business); Computer science; Marketing; Knowledge management; Finance; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.0588452645587658,"gpt":0.3071040664113983,"spread":0.2482588018526325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006949533,0.0001672416,0.0002445564,0.0002728374,0.0001663133,0.00009374902,0.000536621,0.00004576154,0.00001029293],"category_scores_gemma":[0.00005898987,0.0001739293,0.00009269638,0.001293918,0.00001407862,0.00009347194,0.0002342857,0.00009216945,0.0001078651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005712309,"about_ca_system_score_gemma":0.000007872573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000260725,"about_ca_topic_score_gemma":0.000001680961,"domain_scores_codex":[0.9986621,0.00001565105,0.0003905918,0.0004404036,0.0001605606,0.0003307253],"domain_scores_gemma":[0.9990033,0.00009451828,0.0000586732,0.0007209164,0.00004774361,0.0000748638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.699693e-7,0.00002225566,2.201324e-7,0.0007381962,0.00003434658,0.000009066148,0.00002846033,0.009719888,0.000105119,0.9138963,0.00158444,0.07386129],"study_design_scores_gemma":[0.00006414278,0.00004224105,0.00001499473,0.001112965,0.0000925905,0.000008169411,0.00001878257,0.8037152,0.001696111,0.09320839,0.09954371,0.0004827425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002937326,0.001074411,0.9896271,0.005638927,0.0004419937,0.001846018,0.000003924386,0.0009789877,0.00009486566],"genre_scores_gemma":[0.09489678,0.00468144,0.8958749,0.001399903,0.0001236646,0.002756114,0.0000105515,0.00004166586,0.0002149937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8206879,"threshold_uncertainty_score":0.709263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3091547060","doi":"10.1109/emr.2020.3027189","title":"Stock Market Reaction to Chief Data or Digital Officers Appointments","year":2020,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Officer; Chief executive officer; Ask price; Business; Stock market; Value (mathematics); Stock (firearms); Big data; Marketing; Accounting; Public relations; Finance; Management; Economics; Law; Engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0694610137980492,"gpt":0.2385155974205826,"spread":0.1690545836225334,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002630224,0.0002094607,0.0004051164,0.0000942086,0.00003618565,0.0001216671,0.0005047159,0.00002957618,0.000307651],"category_scores_gemma":[0.0001116813,0.0002095901,0.00006673459,0.0004160092,0.000007879495,0.0005861507,0.0001947918,0.00009181794,0.0009346591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006340863,"about_ca_system_score_gemma":0.000007737857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006517033,"about_ca_topic_score_gemma":7.619457e-7,"domain_scores_codex":[0.9986302,0.000004782723,0.000519318,0.0005283168,0.00006204587,0.0002552937],"domain_scores_gemma":[0.9991379,0.00001469262,0.0001373077,0.0005697627,0.00000826317,0.0001321036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000749974,0.0001388988,0.0003218296,0.01244004,0.0004101758,0.00005563397,0.00005548696,0.0005295502,0.000009178993,0.04485567,0.888326,0.05278254],"study_design_scores_gemma":[0.0001832897,0.00008665279,0.00186324,0.0005557403,0.00002524048,8.198567e-7,0.000005861139,0.002500369,0.0000011419,0.00005676013,0.9944428,0.0002780624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.006042224,0.08095387,0.08758789,0.02076607,0.005617823,0.009678813,0.001670469,0.001391105,0.7862917],"genre_scores_gemma":[0.350737,0.5162915,0.0310137,0.05148176,0.003010508,0.001451241,0.001673078,0.0007248186,0.04361637],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7426754,"threshold_uncertainty_score":0.9998432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998932574","doi":"10.1109/emr.2020.2964741","title":"Is It Time to Reassess the Front-End Innovation Approach?","year":2020,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Front and back ends; Front (military); Business; Industrial organization; Computer science; Engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04767479938152393,"gpt":0.2728008469289132,"spread":0.2251260475473892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003804351,0.0001701626,0.0001851178,0.00007169649,0.00003104168,0.00006621718,0.0002836878,0.00002436175,0.001092361],"category_scores_gemma":[0.00006022177,0.0001444055,0.00004307987,0.0008642772,0.000003912409,0.0001703889,0.00002788299,0.0001563771,0.003505186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004350487,"about_ca_system_score_gemma":0.000006934506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001018918,"about_ca_topic_score_gemma":3.966209e-8,"domain_scores_codex":[0.999132,0.00002244583,0.0002871785,0.0001834722,0.0001958434,0.0001790407],"domain_scores_gemma":[0.9995105,0.00003837892,0.00003482692,0.0003100116,0.0000341453,0.0000721831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001302399,0.00001251377,8.997097e-7,0.004281855,0.0001136326,0.000002234329,0.0002328339,0.02928335,0.0002049114,0.001158971,0.9339653,0.0307422],"study_design_scores_gemma":[0.00005244898,0.000006932586,0.0000562101,0.0003675374,0.0000768982,0.00000191676,0.00001668071,0.03324101,0.00006276624,0.000003067483,0.9659395,0.0001750317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.0001162961,0.01796678,0.6879308,0.05435663,0.001081594,0.002734572,0.000010289,0.001130787,0.2346722],"genre_scores_gemma":[0.1514786,0.1429265,0.2086492,0.3980253,0.005051563,0.004852043,0.0003948767,0.001156128,0.08746575],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4792816,"threshold_uncertainty_score":0.9998208,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3118838891","doi":"10.1109/emr.2021.3049158","title":"A Rising Tide Lifts All Boats, Ignoring Risks Can Sink Them: The Peril of Rework in Large-Scale Transport Projects","year":2021,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Australian Research Council","keywords":"Rework; Scale (ratio); Business; Public sector; Risk analysis (engineering); Work (physics); Private sector; Operations management; Industrial organization; Engineering; Economics; Economy; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.1095032597322132,"gpt":0.3430844279981383,"spread":0.2335811682659251,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003365986,0.000253385,0.0005374844,0.0002498695,0.00009365131,0.00009204198,0.0006827021,0.00004540901,0.000321716],"category_scores_gemma":[0.0001579771,0.000185214,0.0002188045,0.002233381,0.00003377117,0.0002456003,0.0001492496,0.0002791435,0.0000413192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006061562,"about_ca_system_score_gemma":0.00003977925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005235315,"about_ca_topic_score_gemma":0.0002261018,"domain_scores_codex":[0.9970233,0.000120236,0.0009996187,0.0005282931,0.0009056313,0.0004228532],"domain_scores_gemma":[0.998492,0.0001793905,0.0002503778,0.0009079302,0.0001129257,0.00005737574],"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":[0.00006994762,0.0005184734,0.1547521,0.02216414,0.0008782714,0.0006676077,0.007724922,0.04672794,0.0003551858,0.01178357,0.02072911,0.7336287],"study_design_scores_gemma":[0.0008469093,0.00003264601,0.04636471,0.009530257,0.0003420713,0.00003472793,0.001602843,0.009723837,0.0006395899,0.0004496026,0.9296885,0.0007443736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.694837,0.105372,0.06882186,0.01181634,0.008232724,0.009089398,0.00008453412,0.0007636157,0.1009825],"genre_scores_gemma":[0.9354491,0.05654747,0.004625103,0.0007026811,0.0001399947,0.0001581164,0.0000123022,0.00003922479,0.002326049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9089593,"threshold_uncertainty_score":0.7552808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404102433","doi":"10.1109/emr.2024.3478479","title":"The Adoption and Impact of AI by SMEs for New Product Development","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Business; New product development; Product (mathematics); Industrial organization; Manufacturing engineering; Marketing; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.06013782325934455,"gpt":0.3721147364490006,"spread":0.3119769131896561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549511,0.0001133551,0.0001951522,0.00004703289,0.0000675436,0.0002481822,0.0002339998,0.00001476808,0.00001691913],"category_scores_gemma":[0.0001273739,0.00005681864,0.0001187027,0.0003737555,0.0000131611,0.0002073396,0.00004392006,0.00005006078,0.000008941847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002799857,"about_ca_system_score_gemma":0.00004166815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005995099,"about_ca_topic_score_gemma":3.875823e-7,"domain_scores_codex":[0.9989449,0.00001044102,0.000346079,0.0002085947,0.0003373608,0.0001526078],"domain_scores_gemma":[0.9994692,0.0001391745,0.00004850441,0.0002379766,0.00005661072,0.00004856733],"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":[0.00000159757,0.000005650347,0.00002268431,0.001266803,0.00006821325,4.052483e-7,0.00002942499,0.000101791,0.00005343407,0.0006723035,0.3572019,0.6405758],"study_design_scores_gemma":[0.00006292305,0.0000217522,0.001732111,0.00121004,0.00003880894,0.00000136747,0.000008295169,0.001108767,0.00008368638,0.0001350642,0.9955046,0.00009256169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005630653,0.6854146,0.2990924,0.006361277,0.001371226,0.001762777,0.00003884044,0.0001084778,0.0002197528],"genre_scores_gemma":[0.3877743,0.5778182,0.01517027,0.0007743265,0.0005775923,0.0002340257,0.00008169623,0.00007325826,0.01749636],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6404832,"threshold_uncertainty_score":0.2393227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212811087","doi":"10.1109/emr.2022.3144872","title":"Modeling the Interface Among the Critical Barriers to Innovation Capability in Microenterprises","year":2022,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Context (archaeology); Creativity; Futures studies; Globe; Mainstream; Knowledge management; Dimension (graph theory); Isolation (microbiology); Business; Prioritization; Marketing; Computer science; Political science; Process management; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01491050316894082,"gpt":0.3057271768568634,"spread":0.2908166736879226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003415084,0.00008374529,0.0001280984,0.00006316254,0.000366537,0.00007629948,0.0004400532,0.00001190123,0.00005962577],"category_scores_gemma":[0.002113437,0.00006287364,0.00004583369,0.0009981866,0.00006073451,0.00009047663,0.000143965,0.0002057567,0.000004506803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038878,"about_ca_system_score_gemma":0.00002401835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002925011,"about_ca_topic_score_gemma":0.00007784503,"domain_scores_codex":[0.9987434,0.0002532885,0.000266289,0.0001643046,0.0003287416,0.0002439427],"domain_scores_gemma":[0.9995025,0.0001906573,0.00002310212,0.0001933033,0.00003505528,0.00005535441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004320774,0.0002208059,0.005025377,0.006271794,0.000183692,0.00004013538,0.05702472,0.6538507,0.00006407402,0.1280635,0.03194448,0.1172675],"study_design_scores_gemma":[0.0002695052,0.00007150695,0.001916915,0.004982838,0.0001485379,0.000001201182,0.03321706,0.03415371,0.00001255857,0.001448215,0.9229765,0.0008014484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815363,0.01402594,0.02078425,0.05025568,0.004652472,0.004662061,0.0000117809,0.0003570852,0.02371444],"genre_scores_gemma":[0.997137,0.001072208,0.00007195853,0.001155423,0.00005467439,0.0003266527,6.727883e-7,0.000008972281,0.0001724684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.891032,"threshold_uncertainty_score":0.2819143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402041248","doi":"10.1109/emr.2024.3452090","title":"Key Lessons Learned for Technology Managers From CrowdStrike Global IT Outage","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Key (lock); Engineering management; Business; Engineering; Process management; Knowledge management; Computer science; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.08122599386048791,"gpt":0.3362137570029956,"spread":0.2549877631425077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003902345,0.0004049274,0.0004594183,0.000358339,0.0000980139,0.0005104712,0.0008144618,0.0001180012,0.0003251136],"category_scores_gemma":[0.00009246817,0.0003811786,0.0002207341,0.001748718,0.00004033549,0.0008208879,0.0002888495,0.0001958277,0.001204348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280032,"about_ca_system_score_gemma":0.00001647183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007913868,"about_ca_topic_score_gemma":0.00001671875,"domain_scores_codex":[0.9979663,0.000003966898,0.0004815669,0.0007420906,0.000281507,0.0005245976],"domain_scores_gemma":[0.9991133,0.00004039465,0.00009840031,0.0006542369,0.00007197831,0.00002175125],"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":[0.00001119092,0.0000596617,0.00005456767,0.0358649,0.0004593599,0.0001742416,0.000006953968,0.001274373,0.00008062302,0.2502549,0.2112762,0.500483],"study_design_scores_gemma":[0.0001316693,0.000004544566,0.00005426873,0.00629263,0.0004928455,0.000002206655,0.00001591918,0.009266002,0.00002257763,0.002863251,0.9804267,0.0004274396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000814273,0.1702448,0.7072613,0.07222973,0.01017961,0.004087786,0.0003016832,0.004431768,0.03044906],"genre_scores_gemma":[0.4324921,0.4025286,0.06132476,0.04105343,0.01624753,0.006583046,0.003928741,0.001331447,0.03451031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7691505,"threshold_uncertainty_score":0.999864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2569469925","doi":"","title":"Solving Problems","year":2016,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ask price; Computer science; Management science; Engineering management; Operations research; Engineering; Business; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.008539357662673972,"gpt":0.20153691394325,"spread":0.192997556280576,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002987885,0.0001191011,0.00014605,0.0000566039,0.00002091279,0.00006022752,0.0007290334,0.00001368994,0.00002698305],"category_scores_gemma":[0.00001223905,0.00007712704,0.00007486682,0.0001471968,0.000004468362,0.0003234707,0.0001698738,0.00004231692,0.0002693197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003479539,"about_ca_system_score_gemma":0.000002456748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001364461,"about_ca_topic_score_gemma":1.138855e-7,"domain_scores_codex":[0.9991716,0.000008046044,0.0001881359,0.000235561,0.0001663903,0.0002303356],"domain_scores_gemma":[0.999456,0.00001718264,0.0000460108,0.0004178953,0.00001750127,0.00004537336],"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":[2.916196e-7,0.00003467274,0.00001276102,0.008727835,0.0001084931,0.0000645848,0.00004135811,0.0005541689,0.001348874,0.2661567,0.0587463,0.6642039],"study_design_scores_gemma":[0.0001252173,0.00001986002,0.00005879613,0.01366798,0.00001727757,0.00000864207,2.094561e-7,0.005466858,0.0003405868,0.0002819656,0.9797639,0.00024868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003682611,0.01181783,0.9786168,0.002466267,0.0007738102,0.0002683615,1.840097e-7,0.0003308238,0.005689136],"genre_scores_gemma":[0.2232474,0.3293602,0.3828716,0.01021739,0.0008641966,0.0006669399,0.00000189874,0.0001626377,0.05260783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9210176,"threshold_uncertainty_score":0.346165,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212938212","doi":"10.1109/emr.2006.261393","title":"IEEE Enginering Management Review - Fourth Quarter 2006","year":2006,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Computer science; History; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.01180175995611607,"gpt":0.2310895824946015,"spread":0.2192878225384855,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006549462,0.0005025567,0.0005694344,0.0002545,0.00006642856,0.00006239855,0.000348077,0.0000622407,0.002636655],"category_scores_gemma":[0.000004543374,0.0005259386,0.0002511684,0.0005193995,0.00001353895,0.0002552897,0.00003271643,0.0002311891,0.005106824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280644,"about_ca_system_score_gemma":0.000003182935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001374379,"about_ca_topic_score_gemma":0.00000271209,"domain_scores_codex":[0.9976386,0.00003879819,0.0008100302,0.0004168774,0.0005384133,0.0005572497],"domain_scores_gemma":[0.9990595,0.00001719978,0.00007918348,0.0006946381,0.0000399975,0.0001094935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[6.54273e-7,0.00003011456,0.000003820177,0.06109617,0.0001379452,0.00003936312,0.000007567062,0.167033,0.0001427745,0.000227936,0.7517624,0.01951823],"study_design_scores_gemma":[0.0003349719,0.00001490689,0.0006268495,0.02261625,0.0004662661,0.00001061769,0.000004179429,0.02639152,0.00003629615,0.00001899322,0.9487509,0.0007282885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00112612,0.4852269,0.3532033,0.0009645747,0.01012964,0.006787965,0.00002651747,0.00591829,0.1366168],"genre_scores_gemma":[0.01143132,0.9593553,0.01123351,0.001907973,0.00190588,0.001465103,0.0001737355,0.0003295217,0.01219768],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4741284,"threshold_uncertainty_score":0.9997192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409014846","doi":"10.1109/emr.2025.3555508","title":"Why Do Women Professionals Leave the IT Field? Ten Insights and Recommendations From the World IT Project","year":2025,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Field (mathematics); Young professional; Business; Engineering; Management; Public relations; Political science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01601449845305384,"gpt":0.289743072885789,"spread":0.2737285744327352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579533,0.0001963987,0.0002215576,0.0001073049,0.0001197007,0.00009221697,0.0002962204,0.00002991197,0.0001142412],"category_scores_gemma":[0.00003268024,0.0001136939,0.00005435429,0.00051375,0.00001263465,0.0001036342,0.00008827065,0.0002237606,0.00001779404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000553061,"about_ca_system_score_gemma":0.000007797297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002683008,"about_ca_topic_score_gemma":0.00003669284,"domain_scores_codex":[0.9992381,0.00004183102,0.0002651937,0.00009521149,0.0001144133,0.0002452883],"domain_scores_gemma":[0.999173,0.0003733009,0.00002906774,0.0003806169,0.00001458567,0.00002940397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001104837,0.000008871733,0.00001707236,0.001473981,0.0002250891,9.276391e-7,0.001538441,0.0006205071,0.0000104743,0.0019578,0.9794666,0.01467916],"study_design_scores_gemma":[0.00008672403,0.000005845032,0.000194601,0.0042646,0.00008183387,4.26056e-7,0.0005078958,0.0006707404,0.00005553227,0.00008223426,0.9939119,0.0001376237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01733957,0.3621572,0.01678206,0.4288158,0.008531923,0.01064516,0.00008490086,0.001740356,0.153903],"genre_scores_gemma":[0.1638407,0.5861042,0.001658116,0.1748433,0.001368527,0.005049861,0.0001041197,0.0002272536,0.06680395],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2539724,"threshold_uncertainty_score":0.4636301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404238679","doi":"10.1109/emr.2024.3493492","title":"Eco-Stage-Gate: Building Sustainability Into Product Innovation","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Sustainability; Product innovation; Product (mathematics); Business; Stage (stratigraphy); New product development; Manufacturing engineering; Process management; Architectural engineering; Engineering; Industrial organization; Marketing; Mathematics; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01396264200583577,"gpt":0.2635726560477524,"spread":0.2496100140419166,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001865419,0.0002944317,0.0003100918,0.0006974798,0.0001512285,0.0002109721,0.0003660908,0.0000703667,0.00008018613],"category_scores_gemma":[0.0002459889,0.0002826331,0.00007796586,0.004074377,0.00005082764,0.0007882565,0.0002676485,0.0003327361,0.0001531098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003182979,"about_ca_system_score_gemma":0.00002669021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001773502,"about_ca_topic_score_gemma":8.670287e-7,"domain_scores_codex":[0.9982603,0.000009890355,0.0005628549,0.0005356005,0.0002609862,0.0003703998],"domain_scores_gemma":[0.9992357,0.0000195429,0.0001088116,0.0003792275,0.0002502571,0.000006481334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001718914,0.00002754599,0.00008191435,0.04620544,0.0001246325,0.00004427966,0.00002420734,0.0004554539,0.00006127865,0.8237528,0.009078016,0.1201427],"study_design_scores_gemma":[0.00008610702,0.000003721702,0.0004645807,0.002527783,0.00009680658,0.000001165222,0.00004220172,0.003362322,0.0001575631,0.01174675,0.9810848,0.0004262069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09956975,0.12375,0.597383,0.047353,0.0194086,0.01600527,0.000006682264,0.01521759,0.08130611],"genre_scores_gemma":[0.9705214,0.00569135,0.01332032,0.003508191,0.001583129,0.001115794,0.00008989433,0.0001484411,0.004021482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9720068,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400579917","doi":"10.1109/emr.2024.3426228","title":"Stage-Gate Is Not Waterfall… Find Out Why and How","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Waterfall; Waterfall model; Electrical engineering; Business; Computer science; Engineering; History; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.02632598365635527,"gpt":0.2652858395314224,"spread":0.2389598558750671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005398786,0.0002385695,0.0002361973,0.0001131786,0.00003323278,0.0005458954,0.0005233439,0.00003964754,0.00002335164],"category_scores_gemma":[0.00002100781,0.000207287,0.00007749424,0.0002892352,0.000008272889,0.0006766343,0.0002234708,0.0001922287,0.00006526317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003080101,"about_ca_system_score_gemma":0.00000528602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003343296,"about_ca_topic_score_gemma":2.003299e-7,"domain_scores_codex":[0.9988537,0.0000194352,0.00016945,0.0004471337,0.0002345489,0.0002757097],"domain_scores_gemma":[0.9992213,0.00008988965,0.00003284131,0.0005597363,0.00001722793,0.00007900217],"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":[0.000001900031,0.00002840533,0.0000106574,0.05592952,0.000463952,0.0006316207,0.0003533994,0.003529634,0.0002808663,0.03980196,0.2575719,0.6413962],"study_design_scores_gemma":[0.00003938629,0.0000249696,0.00003100764,0.002867062,0.00005001407,0.00001171545,6.306118e-7,0.05338174,0.0003944577,0.00004590329,0.9428917,0.0002613883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00008943826,0.07260173,0.9168438,0.007211219,0.0009436621,0.0003892441,0.000003381814,0.001607819,0.0003096534],"genre_scores_gemma":[0.04362471,0.5805771,0.3451872,0.006537876,0.0003902641,0.0004507063,0.0000082923,0.0001676511,0.02305616],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6853198,"threshold_uncertainty_score":0.8452918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400314822","doi":"10.1109/emr.2024.3423360","title":"Manager's Practical Toolkit to Improve Password Security in Organizations","year":2024,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Password; Computer security; Business; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.006539160310230132,"gpt":0.2528248424562098,"spread":0.2462856821459797,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004841584,0.0001530455,0.0001764133,0.0002320801,0.00002845067,0.0002856999,0.0004303199,0.00003002247,0.00004798358],"category_scores_gemma":[0.00005869975,0.0001490064,0.00004967999,0.001928395,0.000003954309,0.00080259,0.0002176869,0.0001905362,0.0007255615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018635,"about_ca_system_score_gemma":0.00002219169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000497784,"about_ca_topic_score_gemma":0.000003563674,"domain_scores_codex":[0.9988407,0.00002263721,0.000341918,0.0002963208,0.0002415162,0.0002569188],"domain_scores_gemma":[0.9993396,0.00003686054,0.00002445883,0.000470146,0.00003883145,0.00009011399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.584508e-7,0.0000444418,0.000005397116,0.00760735,0.00004925599,0.0001896225,0.0004371916,0.001156423,0.00000834596,0.891187,0.0435922,0.0557223],"study_design_scores_gemma":[0.00007509733,0.00001611931,0.0001687875,0.002059544,0.00002660515,0.00001171122,0.000007205921,0.0944706,0.00004114363,0.0003687892,0.9024798,0.0002745541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0000946709,0.004416591,0.9742805,0.00817933,0.001568398,0.0009173304,0.000002193386,0.0006713349,0.009869644],"genre_scores_gemma":[0.5738652,0.0861905,0.2994206,0.03183098,0.0008490616,0.001772909,0.00006439613,0.0002156278,0.005790654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8908182,"threshold_uncertainty_score":0.9325867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411725716","doi":"10.1109/emr.2025.3583977","title":"Brain Rot—The 2024 Oxford English Dictionary Word of the Year: Why Should Technology Leaders Care?","year":2025,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Word (group theory); Linguistics; Computer science; Psychology; Natural language processing; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.01309042240874717,"gpt":0.2872109688674148,"spread":0.2741205464586676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002865175,0.0001485196,0.0002159335,0.0001930264,0.00007164053,0.00001298828,0.0004592488,0.00007803925,0.002932373],"category_scores_gemma":[0.00007838104,0.000103653,0.0001481249,0.0009245411,0.0000622208,0.0000330619,0.00009275184,0.000368601,0.00003627552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004371304,"about_ca_system_score_gemma":0.000007360705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006727147,"about_ca_topic_score_gemma":0.000001659849,"domain_scores_codex":[0.9990717,0.00007248893,0.0002822188,0.000229294,0.0001324143,0.0002118985],"domain_scores_gemma":[0.9991416,0.00008053095,0.00006781889,0.0006524245,0.00003937873,0.00001820113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001167647,0.00006617366,0.0004245198,0.007696515,0.0008500351,0.00004495051,0.002732447,0.002916437,0.00005229834,0.04324892,0.6516072,0.2903489],"study_design_scores_gemma":[0.0001978408,0.000009096771,0.001310286,0.00179647,0.0001254668,0.000003245907,0.003093597,0.0000268819,0.00002035511,0.00001954224,0.9932959,0.0001013107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005497,0.787416,0.009645185,0.02802233,0.01217407,0.00299985,0.00001111605,0.0007598436,0.1534746],"genre_scores_gemma":[0.6352906,0.039127,0.00207422,0.1640316,0.001507929,0.002790186,0.00006480316,0.0002897742,0.1548238],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.748289,"threshold_uncertainty_score":0.9979791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4248538422","doi":"10.1109/emr.2020.2974298","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2020,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Management; Business; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01709874114513656,"gpt":0.2342380284100863,"spread":0.2171392872649497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002452042,0.0003116652,0.0003818116,0.0001173014,0.00005614603,0.000137379,0.0009645136,0.00005812691,0.000008015807],"category_scores_gemma":[0.000009560194,0.0003056963,0.0001392711,0.0007298162,0.0000212606,0.0002628483,0.0004047361,0.00026763,0.00004888144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004604625,"about_ca_system_score_gemma":0.000004462254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001007735,"about_ca_topic_score_gemma":7.965418e-8,"domain_scores_codex":[0.9984711,0.00001063273,0.0003564524,0.0005298315,0.0002525172,0.0003794488],"domain_scores_gemma":[0.9992864,0.00002191971,0.00008779392,0.0004491496,0.00002625152,0.0001285262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005507631,0.0001566898,0.00005337034,0.0551502,0.001896566,0.0008080497,0.000919836,0.009745281,0.001271975,0.6181294,0.1459336,0.1659295],"study_design_scores_gemma":[0.0004328665,0.0001463178,0.00009832873,0.004306929,0.0001425352,0.00002806224,0.00003636738,0.1705188,0.0007314569,0.0001237127,0.8226869,0.0007477329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006737759,0.02020137,0.9599559,0.01286913,0.0009167576,0.00116049,0.000002519775,0.001177754,0.003042313],"genre_scores_gemma":[0.3331626,0.105702,0.5435833,0.01383857,0.0005536517,0.0006654116,0.000008471892,0.0001650461,0.002320915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6767533,"threshold_uncertainty_score":0.9999395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4236366057","doi":"10.1109/emr.2019.2917576","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2019,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Business; Engineering; Management; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.008862074356026525,"gpt":0.2270002964010077,"spread":0.2181382220449811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003759122,0.000315025,0.0003924948,0.0002017337,0.00004378004,0.0001348765,0.000946309,0.00006663487,0.00001490861],"category_scores_gemma":[0.000004276564,0.0003029892,0.000141948,0.0006059288,0.00001711075,0.0003010988,0.0003720441,0.000253158,0.0001232045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006881952,"about_ca_system_score_gemma":0.000004551004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001617652,"about_ca_topic_score_gemma":1.267407e-7,"domain_scores_codex":[0.9984298,0.00001030354,0.0003476006,0.000528742,0.0002659214,0.0004176824],"domain_scores_gemma":[0.9990675,0.00002707155,0.00009408214,0.0007065627,0.00002868633,0.00007605066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000361218,0.0001762639,0.0001689652,0.04553561,0.00156224,0.000302743,0.000337195,0.008019255,0.001205125,0.7768411,0.05107015,0.1147778],"study_design_scores_gemma":[0.0006256001,0.0001614688,0.0003662235,0.009207028,0.0001404009,0.00005410079,0.00003845238,0.1174903,0.0007582558,0.0002612034,0.8699042,0.0009927889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009210815,0.04140227,0.917165,0.005552842,0.004716334,0.003759498,0.000004385456,0.002113593,0.01607525],"genre_scores_gemma":[0.4876181,0.0936672,0.3976485,0.004043123,0.0003122417,0.0006911925,0.000008870838,0.0001731615,0.01583764],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.818834,"threshold_uncertainty_score":0.9999422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4254329011","doi":"10.1109/emr.2018.2870237","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2018,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Business; Management; Engineering; Accounting; Computer security; Computer science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01265362023187347,"gpt":0.2456597278248083,"spread":0.2330061075929348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037792,0.0003134706,0.0003466826,0.0002067933,0.00008675505,0.0001448371,0.0009739118,0.0000658994,0.00001148987],"category_scores_gemma":[0.000007370528,0.0003005937,0.0001219761,0.0007021322,0.00004862901,0.000279157,0.0003932013,0.000212524,0.00007533906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006510728,"about_ca_system_score_gemma":0.000004733978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001921907,"about_ca_topic_score_gemma":3.524025e-7,"domain_scores_codex":[0.9984267,0.0000109062,0.0003528864,0.0005182655,0.0002526139,0.000438614],"domain_scores_gemma":[0.9990882,0.00002205994,0.00009251734,0.0006625759,0.00004799324,0.00008670142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003954274,0.0001742408,0.00004812788,0.02283028,0.00147612,0.0003250162,0.0005029876,0.0009159183,0.0008983973,0.6689072,0.1178638,0.186054],"study_design_scores_gemma":[0.0004043016,0.0001990779,0.0002004904,0.006466022,0.000136531,0.0000534959,0.00002660931,0.07465807,0.001340752,0.0003272156,0.915409,0.0007784123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001560426,0.01452919,0.9687905,0.00313838,0.002202191,0.001207321,0.0000021033,0.00113028,0.007439656],"genre_scores_gemma":[0.3521957,0.06376206,0.5712978,0.004212188,0.0007792276,0.0006100525,0.000005419041,0.0001414103,0.006996249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7975452,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407374233","doi":"10.1109/emr.2025.3540373","title":"The NPD Game Is Won or Lost in the First Five Plays: How AI Can Help in Product Innovation","year":2025,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Product (mathematics); New product development; Business; Product innovation; Computer science; Marketing; Industrial organization; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03693813926299464,"gpt":0.2748880716836709,"spread":0.2379499324206763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056601,0.0002517245,0.0002642303,0.0004314728,0.00009655124,0.0004297476,0.0008212295,0.00003574345,0.00004155455],"category_scores_gemma":[0.0002291344,0.0001506268,0.00004519117,0.004474062,0.00002889947,0.0005654519,0.0001801915,0.0002594923,0.00007223718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007112024,"about_ca_system_score_gemma":0.00001442488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001597741,"about_ca_topic_score_gemma":0.0004978557,"domain_scores_codex":[0.9985713,0.00001187684,0.0004422475,0.0003606664,0.000273873,0.0003400382],"domain_scores_gemma":[0.999075,0.00006534754,0.0001343535,0.0006222344,0.0000992869,0.00000379602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005392482,0.0002319183,0.003372526,0.05159838,0.0001587903,0.0001240211,0.0001899346,0.003861526,0.00002282674,0.07951148,0.6068658,0.2540089],"study_design_scores_gemma":[0.0001603068,0.000003389681,0.004686187,0.006599772,0.00006059846,0.000001092272,0.00007238401,0.002768258,0.00003055967,0.0001850768,0.985212,0.0002203697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02896333,0.114157,0.02343434,0.7774534,0.009460026,0.0190218,0.00003702851,0.0006867224,0.02678637],"genre_scores_gemma":[0.8563409,0.07781424,0.0001625565,0.05475453,0.00120814,0.001184717,0.0001169607,0.00008056813,0.008337395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8273776,"threshold_uncertainty_score":0.6142383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4250307643","doi":"10.1109/emr.2004.1334800","title":"Surf's up","year":2004,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Adventure Sports and Sensation Seeking","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Business","retraction":null,"screen_n_in":null,"score":{"opus":0.01944571086823431,"gpt":0.2879196381401619,"spread":0.2684739272719275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000212666,0.0001354979,0.0001951982,0.00006995429,0.00002610218,0.00001268053,0.0001248083,0.00002807038,0.0006487552],"category_scores_gemma":[0.000004958925,0.0001243911,0.00009011381,0.0002045472,0.000006657808,0.0000470419,0.00001682197,0.00009252837,0.000593823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003916111,"about_ca_system_score_gemma":0.000002570402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001348212,"about_ca_topic_score_gemma":8.015392e-7,"domain_scores_codex":[0.9991797,0.000008577689,0.0002487119,0.0002123825,0.0001391835,0.0002114991],"domain_scores_gemma":[0.9995342,0.000007964057,0.00005536759,0.000336893,0.00001471938,0.00005080191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009366829,0.0002217122,0.0001639322,0.009753015,0.0008072863,0.0009634719,0.00100808,0.02263279,0.00008291933,0.6479025,0.07810036,0.2383546],"study_design_scores_gemma":[0.0003182873,0.00001165451,0.001922941,0.001672167,0.00008237603,0.00001467067,0.00002237069,0.00001792922,0.000007603718,0.00009872239,0.9956261,0.0002052016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005814656,0.2105935,0.5396807,0.003747775,0.02060569,0.003127932,0.000006026494,0.001629111,0.2147947],"genre_scores_gemma":[0.8946549,0.05183861,0.008139972,0.005550885,0.0008769707,0.0003179961,0.00004441433,0.0001735646,0.0384027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9175257,"threshold_uncertainty_score":0.7632591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409426157","doi":"10.1109/emr.2025.3559770","title":"From Intuition to Insight: Leveraging AI to Forecast New Product Success","year":2025,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Intuition; Computer science; New product development; Data science; Marketing; Business; Psychology; Cognitive science","retraction":null,"screen_n_in":null,"score":{"opus":0.03963476800087481,"gpt":0.2861795048957135,"spread":0.2465447368948387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002871415,0.0003278463,0.0003905912,0.0005759697,0.00007610081,0.0003938004,0.000688089,0.00003311488,0.0002830479],"category_scores_gemma":[0.0001368623,0.0003156529,0.00008573095,0.002219757,0.000007096322,0.0009723019,0.0004322079,0.0001471511,0.0009744519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007683037,"about_ca_system_score_gemma":0.00001386253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006615429,"about_ca_topic_score_gemma":0.00003633667,"domain_scores_codex":[0.9982544,0.000005517302,0.0004509771,0.0006274489,0.0002873897,0.0003742262],"domain_scores_gemma":[0.999083,0.00002121076,0.00007691046,0.0006669076,0.0001129949,0.00003899945],"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":[0.00001613318,0.00006187531,0.0004089266,0.01095651,0.0001433392,0.00002442038,0.00003957111,0.009639801,0.0002662611,0.01388645,0.3967792,0.5677775],"study_design_scores_gemma":[0.0001090389,0.000003318269,0.001562633,0.01000202,0.0001746814,4.050179e-7,0.000004143142,0.001282989,0.0003025108,0.0004738688,0.9857032,0.0003811934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003581574,0.01143305,0.9426895,0.02443988,0.005002322,0.002750238,0.000008107362,0.0006251433,0.009470141],"genre_scores_gemma":[0.8257506,0.01199225,0.01725637,0.1245222,0.0105259,0.00113743,0.0005503466,0.0002673259,0.007997623],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9254332,"threshold_uncertainty_score":0.9999295,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410856194","doi":"10.1109/emr.2025.3574964","title":"Sustainable Innovation Postpandemic: Perspectives From the U.S., Canada, Norway, and Thailand","year":2025,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Business; Regional science; Geography; Political science; Economic growth; Economics; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.009775420638788487,"gpt":0.2645775823832651,"spread":0.2548021617444766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004037853,0.00008082799,0.0001097137,0.00005355312,0.0002019922,0.00005376199,0.0001636279,0.00001822908,0.0000311318],"category_scores_gemma":[0.00009225488,0.0000615555,0.00001558875,0.0006503626,0.00002791058,0.00008137668,0.00004055494,0.00006640662,0.000003011636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642125,"about_ca_system_score_gemma":0.000151656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1760496,"about_ca_topic_score_gemma":0.03916465,"domain_scores_codex":[0.9993664,0.00003104201,0.0001318327,0.0001268116,0.0001643849,0.0001795472],"domain_scores_gemma":[0.9996827,0.00009741757,0.00003212279,0.0001044568,0.00006306214,0.00002029115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000173826,0.000006002817,0.001631926,0.0008572122,0.0001073567,0.000008000892,0.001325772,0.00003227049,0.000003607643,0.7673817,0.2197665,0.008877889],"study_design_scores_gemma":[0.00005824229,0.000001223449,0.01733939,0.0006597445,0.00003024625,9.175627e-8,0.001135835,0.000008818335,0.000001492254,0.000487095,0.9802009,0.00007693672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06461494,0.4343392,0.002482211,0.1680994,0.001687577,0.004012859,0.0000133473,0.0002384247,0.324512],"genre_scores_gemma":[0.3898293,0.4495046,0.0004874846,0.008898193,0.0004800433,0.0001777773,0.00002305333,0.00002130031,0.1505782],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7668946,"threshold_uncertainty_score":0.9783681,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415256954","doi":"10.1109/emr.2025.3622421","title":"Preparing Technology Managers for the Postconsumer Reviews Era","year":2025,"lang":"","type":"article","venue":"IEEE Engineering Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; York University","funders":"","keywords":"Exploit; Transparency (behavior); Product (mathematics); Scalability; Transition (genetics); Ideation","retraction":null,"screen_n_in":null,"score":{"opus":0.03171032608219188,"gpt":0.2968987692034763,"spread":0.2651884431212844,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002207105,0.0009303173,0.001282859,0.001036811,0.0005554859,0.0006629189,0.002485531,0.0002158032,0.0003326815],"category_scores_gemma":[0.0005515463,0.0007280956,0.0005996284,0.004437447,0.000149027,0.001043389,0.001021931,0.0005767174,0.000780977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297403,"about_ca_system_score_gemma":0.00002770106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003592881,"about_ca_topic_score_gemma":0.00001282896,"domain_scores_codex":[0.995743,0.00002224394,0.001627401,0.001172397,0.0003612014,0.001073734],"domain_scores_gemma":[0.9966929,0.0002100402,0.0005954985,0.002204645,0.0002694486,0.00002750018],"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":[0.00001495999,0.00007612097,0.00006829515,0.1250615,0.0007147618,0.00000780033,0.000003167869,0.0007259682,0.00001813782,0.05307099,0.2915041,0.5287342],"study_design_scores_gemma":[0.0002945711,0.000006924207,0.0001240467,0.04204306,0.003398625,0.000002805493,0.00001952639,0.01044669,0.00002728672,0.0003010197,0.9426609,0.0006745789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001598064,0.7481549,0.2074989,0.01326254,0.007013625,0.009010011,0.00001054544,0.0004074044,0.0146261],"genre_scores_gemma":[0.004551771,0.9629382,0.003351262,0.009722974,0.0008483484,0.003429084,0.00005797229,0.0001345584,0.01496577],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6511567,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413630579","doi":"10.1109/emr.2025.3602394","title":"Canadian Quantum Ecosystem: Lessons From the 5th Workshop on Quantum Computing Entrepreneurship","year":2025,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Network for Business Sustainability; Université de Sherbrooke","funders":"","keywords":"Entrepreneurship; Ecosystem; Quantum; Quantum computer; Business; Engineering physics; Regional science; Physics; Geography; Ecology; Biology; Quantum mechanics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.09962351978833216,"gpt":0.3655483588526675,"spread":0.2659248390643353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00650396,0.0003511486,0.0005425414,0.0005330547,0.0004036727,0.0009070229,0.002881973,0.00005059404,0.0001595695],"category_scores_gemma":[0.001360689,0.0002417065,0.0002443253,0.002442847,0.00002377788,0.0001281358,0.0004876741,0.0003012519,0.000970318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538306,"about_ca_system_score_gemma":0.00006291092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002888598,"about_ca_topic_score_gemma":0.004190049,"domain_scores_codex":[0.9956493,0.0002963746,0.001011031,0.001240872,0.001142205,0.0006602315],"domain_scores_gemma":[0.9944832,0.002100862,0.0002221094,0.002893115,0.00009641104,0.0002043246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003688308,0.00004555056,0.0004425058,0.0006293524,0.0001966195,0.00006346822,0.0001048229,0.04891501,0.000002037091,0.07491025,0.667676,0.2070107],"study_design_scores_gemma":[0.0001545875,0.000007049549,0.003398147,0.007946849,0.0001330202,9.459011e-7,0.0001494924,0.1089405,0.00000332438,0.00107317,0.8779107,0.0002822194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04907073,0.1197398,0.4959827,0.1938934,0.06914351,0.009785087,0.0005055122,0.002060673,0.05981855],"genre_scores_gemma":[0.9801106,0.006448253,0.0007016912,0.006646698,0.0003194072,0.00006656607,0.00006199374,0.00003993308,0.005604853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9310399,"threshold_uncertainty_score":0.9998075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410115952","doi":"10.1109/emr.2025.3567192","title":"Understanding and Deobfuscating Textual Data: Managerial Insights and Computational Challenges","year":2025,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Data Quality and Management","field":"Decision 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 Lethbridge","funders":"","keywords":"Business; Data science; Computer science; Industrial organization; Knowledge management; Management science; Process management; Econometrics; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.3507618376440356,"gpt":0.3984480790666918,"spread":0.04768624142265621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002665402,0.0001849046,0.0003565467,0.0003295511,0.0001377166,0.0002839479,0.0006870172,0.00002958904,0.00001350703],"category_scores_gemma":[0.0003051,0.0001582834,0.00003056437,0.0004676977,0.00006290423,0.0005081097,0.001024656,0.00009323433,0.00001873332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004356113,"about_ca_system_score_gemma":0.000007768327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004844023,"about_ca_topic_score_gemma":0.00001173889,"domain_scores_codex":[0.99792,0.00009700804,0.000560293,0.0006797867,0.0005478547,0.0001950961],"domain_scores_gemma":[0.9985025,0.0005436024,0.0001129689,0.0007487856,0.00002910823,0.00006304218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003520221,0.00002482238,0.00001253777,0.004727514,0.0001656004,0.00001815246,0.0001014983,0.001689808,0.000001387649,0.7728456,0.02662961,0.19378],"study_design_scores_gemma":[0.000613925,0.0000235769,0.00225024,0.004381966,0.0002578328,0.00000487537,0.0009657314,0.04153285,0.000001083337,0.03901654,0.9105354,0.0004159702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0004685696,0.1379914,0.831831,0.005782065,0.0009707003,0.001157237,0.00002855583,0.0001736877,0.02159669],"genre_scores_gemma":[0.3864602,0.5655891,0.04060252,0.00397887,0.0002837084,0.0001319206,0.000202367,0.00005013377,0.00270113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8839058,"threshold_uncertainty_score":0.645461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4247089014","doi":"10.1109/emr.2018.2831350","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2018,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Business; Management; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01265362023187347,"gpt":0.2456597278248083,"spread":0.2330061075929348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037792,0.0003134706,0.0003466826,0.0002067933,0.00008675505,0.0001448371,0.0009739118,0.0000658994,0.00001148987],"category_scores_gemma":[0.000007370528,0.0003005937,0.0001219761,0.0007021322,0.00004862901,0.000279157,0.0003932013,0.000212524,0.00007533906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006510728,"about_ca_system_score_gemma":0.000004733978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001921907,"about_ca_topic_score_gemma":3.524025e-7,"domain_scores_codex":[0.9984267,0.0000109062,0.0003528864,0.0005182655,0.0002526139,0.000438614],"domain_scores_gemma":[0.9990882,0.00002205994,0.00009251734,0.0006625759,0.00004799324,0.00008670142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003954274,0.0001742408,0.00004812788,0.02283028,0.00147612,0.0003250162,0.0005029876,0.0009159183,0.0008983973,0.6689072,0.1178638,0.186054],"study_design_scores_gemma":[0.0004043016,0.0001990779,0.0002004904,0.006466022,0.000136531,0.0000534959,0.00002660931,0.07465807,0.001340752,0.0003272156,0.915409,0.0007784123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001560426,0.01452919,0.9687905,0.00313838,0.002202191,0.001207321,0.0000021033,0.00113028,0.007439656],"genre_scores_gemma":[0.3521957,0.06376206,0.5712978,0.004212188,0.0007792276,0.0006100525,0.000005419041,0.0001414103,0.006996249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7975452,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234306647","doi":"10.1109/emr.2019.2947891","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2019,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Engineering; Management; Business; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.008862074356026525,"gpt":0.2270002964010077,"spread":0.2181382220449811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003759122,0.000315025,0.0003924948,0.0002017337,0.00004378004,0.0001348765,0.000946309,0.00006663487,0.00001490861],"category_scores_gemma":[0.000004276564,0.0003029892,0.000141948,0.0006059288,0.00001711075,0.0003010988,0.0003720441,0.000253158,0.0001232045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006881952,"about_ca_system_score_gemma":0.000004551004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001617652,"about_ca_topic_score_gemma":1.267407e-7,"domain_scores_codex":[0.9984298,0.00001030354,0.0003476006,0.000528742,0.0002659214,0.0004176824],"domain_scores_gemma":[0.9990675,0.00002707155,0.00009408214,0.0007065627,0.00002868633,0.00007605066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000361218,0.0001762639,0.0001689652,0.04553561,0.00156224,0.000302743,0.000337195,0.008019255,0.001205125,0.7768411,0.05107015,0.1147778],"study_design_scores_gemma":[0.0006256001,0.0001614688,0.0003662235,0.009207028,0.0001404009,0.00005410079,0.00003845238,0.1174903,0.0007582558,0.0002612034,0.8699042,0.0009927889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009210815,0.04140227,0.917165,0.005552842,0.004716334,0.003759498,0.000004385456,0.002113593,0.01607525],"genre_scores_gemma":[0.4876181,0.0936672,0.3976485,0.004043123,0.0003122417,0.0006911925,0.000008870838,0.0001731615,0.01583764],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.818834,"threshold_uncertainty_score":0.9999422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4242200248","doi":"10.1109/emr.2019.2938300","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2019,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Engineering; Management; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.008862074356026525,"gpt":0.2270002964010077,"spread":0.2181382220449811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003759122,0.000315025,0.0003924948,0.0002017337,0.00004378004,0.0001348765,0.000946309,0.00006663487,0.00001490861],"category_scores_gemma":[0.000004276564,0.0003029892,0.000141948,0.0006059288,0.00001711075,0.0003010988,0.0003720441,0.000253158,0.0001232045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006881952,"about_ca_system_score_gemma":0.000004551004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001617652,"about_ca_topic_score_gemma":1.267407e-7,"domain_scores_codex":[0.9984298,0.00001030354,0.0003476006,0.000528742,0.0002659214,0.0004176824],"domain_scores_gemma":[0.9990675,0.00002707155,0.00009408214,0.0007065627,0.00002868633,0.00007605066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000361218,0.0001762639,0.0001689652,0.04553561,0.00156224,0.000302743,0.000337195,0.008019255,0.001205125,0.7768411,0.05107015,0.1147778],"study_design_scores_gemma":[0.0006256001,0.0001614688,0.0003662235,0.009207028,0.0001404009,0.00005410079,0.00003845238,0.1174903,0.0007582558,0.0002612034,0.8699042,0.0009927889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009210815,0.04140227,0.917165,0.005552842,0.004716334,0.003759498,0.000004385456,0.002113593,0.01607525],"genre_scores_gemma":[0.4876181,0.0936672,0.3976485,0.004043123,0.0003122417,0.0006911925,0.000008870838,0.0001731615,0.01583764],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.818834,"threshold_uncertainty_score":0.9999422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4241316525","doi":"10.1109/emr.2018.2883781","title":"IEEE Technology and Engineering Management Society TEMS Administrative Committee","year":2018,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Engineering management; Business; Engineering; Management; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01265362023187347,"gpt":0.2456597278248083,"spread":0.2330061075929348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004037792,0.0003134706,0.0003466826,0.0002067933,0.00008675505,0.0001448371,0.0009739118,0.0000658994,0.00001148987],"category_scores_gemma":[0.000007370528,0.0003005937,0.0001219761,0.0007021322,0.00004862901,0.000279157,0.0003932013,0.000212524,0.00007533906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006510728,"about_ca_system_score_gemma":0.000004733978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001921907,"about_ca_topic_score_gemma":3.524025e-7,"domain_scores_codex":[0.9984267,0.0000109062,0.0003528864,0.0005182655,0.0002526139,0.000438614],"domain_scores_gemma":[0.9990882,0.00002205994,0.00009251734,0.0006625759,0.00004799324,0.00008670142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003954274,0.0001742408,0.00004812788,0.02283028,0.00147612,0.0003250162,0.0005029876,0.0009159183,0.0008983973,0.6689072,0.1178638,0.186054],"study_design_scores_gemma":[0.0004043016,0.0001990779,0.0002004904,0.006466022,0.000136531,0.0000534959,0.00002660931,0.07465807,0.001340752,0.0003272156,0.915409,0.0007784123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001560426,0.01452919,0.9687905,0.00313838,0.002202191,0.001207321,0.0000021033,0.00113028,0.007439656],"genre_scores_gemma":[0.3521957,0.06376206,0.5712978,0.004212188,0.0007792276,0.0006100525,0.000005419041,0.0001414103,0.006996249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7975452,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253026018","doi":"10.1109/emr.2007.4489939","title":"Front cover - IEEE Engineering Management Review - Fourth Quarter 2007","year":2007,"lang":"en","type":"paratext","venue":"IEEE Engineering Management Review","topic":"Advanced Scientific and Engineering Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Front cover; Quarter (Canadian coin); Cover (algebra); Front (military); Engineering; Telecommunications; Mechanical engineering; Geography; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.04280392322705575,"gpt":0.3349334728794236,"spread":0.2921295496523679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.006023698,0.001819293,0.003224387,0.001352463,0.0002269246,0.0003670449,0.002991743,0.0003134528,0.006946593],"category_scores_gemma":[0.0002976873,0.001545345,0.001188161,0.002280124,0.00007993097,0.0005186173,0.0005629269,0.001123917,0.0599982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382468,"about_ca_system_score_gemma":0.0000303915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005787538,"about_ca_topic_score_gemma":0.000001051383,"domain_scores_codex":[0.9884852,0.0001068855,0.003278107,0.00243301,0.00381,0.00188678],"domain_scores_gemma":[0.9944932,0.0004927785,0.0008544308,0.003314024,0.0003546753,0.000490879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003612275,0.00004432159,4.962583e-7,0.04129502,0.000581087,0.0001725704,0.00001858722,0.09361536,0.000002577481,0.0001349692,0.8470355,0.01709591],"study_design_scores_gemma":[0.0003002943,0.00003649481,0.00002381841,0.05784762,0.0007563357,0.00001839515,0.00001674715,0.00295029,0.000006760518,0.00001726492,0.9365141,0.001511911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.000001275008,0.4484466,0.465053,0.0002881298,0.01971989,0.002512491,0.00006732862,0.0002971342,0.06361415],"genre_scores_gemma":[0.00002466387,0.6603036,0.01306726,0.001751589,0.0009665545,0.0005765374,0.000104606,0.0002107793,0.3229944],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4519858,"threshold_uncertainty_score":0.9994552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417438929","doi":"10.1109/emr.2025.3621385","title":"Call for Papers TEMSCON Global Montreal 2026","year":2025,"lang":"","type":"article","venue":"IEEE Engineering Management Review","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"","retraction":null,"screen_n_in":null,"score":{"opus":0.02515088403208741,"gpt":0.3598069824235836,"spread":0.3346560983914961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00554813,0.0006290805,0.001242946,0.0003130532,0.0002334075,0.001386902,0.004190087,0.0002569825,0.0002135997],"category_scores_gemma":[0.001809735,0.0005442498,0.0006123233,0.002924045,0.00006087653,0.001026308,0.0006430201,0.0004534916,0.0001943888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004231296,"about_ca_system_score_gemma":0.0001185323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298999,"about_ca_topic_score_gemma":0.00002182956,"domain_scores_codex":[0.9944515,0.0001268882,0.001868104,0.001358005,0.001243171,0.0009523489],"domain_scores_gemma":[0.9971689,0.0006336666,0.0003928875,0.001313299,0.0002139548,0.0002772922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001150619,0.00003782754,0.0001085016,0.006986093,0.0002805769,0.00001469382,0.00001022078,0.003257427,0.000002418253,0.007909225,0.5146065,0.4667749],"study_design_scores_gemma":[0.0006158852,0.00002941436,0.001192412,0.01381118,0.0006593405,0.000002658761,0.00003283381,0.01196736,0.000006774933,0.0006500446,0.9705227,0.0005094263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001509353,0.5146787,0.1818281,0.01408129,0.01530674,0.006418174,0.000183806,0.0003389307,0.2670134],"genre_scores_gemma":[0.05007486,0.7370669,0.007458017,0.01718327,0.001183209,0.001687242,0.00006655316,0.0001184397,0.1851615],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4662655,"threshold_uncertainty_score":0.9997009,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4243945560","doi":"10.1109/emr.2018.2847098","title":"EMR Sustainability Department Mission Statement","year":2018,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Disaster Management and Resilience","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":"Western University","funders":"","keywords":"Mission statement; Statement (logic); Sustainability; Business; Engineering management; Engineering; Management; Political science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01431747800369946,"gpt":0.329233425586422,"spread":0.3149159475827226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285824,0.0001786601,0.000211256,0.00008864045,0.0002615208,0.00008408495,0.000433289,0.00002832098,0.0004452941],"category_scores_gemma":[0.00006913923,0.0001583323,0.00009152279,0.0004804568,0.0001124476,0.0002187616,0.0001202556,0.00006438237,0.0002260382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003084567,"about_ca_system_score_gemma":0.00003081614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004487996,"about_ca_topic_score_gemma":0.00002445114,"domain_scores_codex":[0.9981611,0.00009050288,0.0003519214,0.0003514571,0.0005404438,0.0005045119],"domain_scores_gemma":[0.9992412,0.00002308728,0.00008063441,0.0003983975,0.0001032751,0.0001533797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002025608,0.0004845268,0.0006505802,0.02172527,0.0003215047,0.0001201732,0.002417834,0.000906436,0.00002743907,0.126523,0.4239995,0.4228036],"study_design_scores_gemma":[0.0001106354,0.00003790951,0.0004878151,0.001035872,0.00007215679,1.45705e-7,0.0002867866,0.0001314658,0.00001814924,0.0002407741,0.9973773,0.0002010063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0307958,0.06105947,0.09374851,0.02951603,0.01017426,0.01951314,0.00001104209,0.002747734,0.752434],"genre_scores_gemma":[0.7429656,0.1612146,0.005776356,0.003070802,0.001417521,0.0005338909,0.00002574645,0.00009357463,0.08490185],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7121698,"threshold_uncertainty_score":0.6456602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2477754282","doi":"","title":"Raising money","year":2016,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Venture capital; Investment (military); Quarter (Canadian coin); Business; Capital investment; Capital (architecture); Commerce; Monetary economics; Economics; Finance; Engineering; Geography; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.01679143035432257,"gpt":0.239845368745081,"spread":0.2230539383907584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139369,0.0001908255,0.0002190002,0.00009702695,0.00001893852,0.00001992414,0.0001666176,0.00002690014,0.0001005548],"category_scores_gemma":[0.00001120818,0.0001366792,0.00008339927,0.0001945451,0.000007784865,0.0001404124,0.00002078806,0.00005349412,0.0004160725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000595782,"about_ca_system_score_gemma":0.000001558012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001225207,"about_ca_topic_score_gemma":1.602142e-7,"domain_scores_codex":[0.9992644,0.000006261836,0.0002129355,0.00006588933,0.000128613,0.000321928],"domain_scores_gemma":[0.9995799,0.00002782049,0.00001573031,0.0002913431,0.000009094168,0.00007608505],"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":[0.000002299927,0.00002666617,0.00008619438,0.02851137,0.0005436948,0.00004151048,0.0002018427,0.01939978,0.01241791,0.008881507,0.2740662,0.655821],"study_design_scores_gemma":[0.0001985047,0.000009742626,0.0004186026,0.007543223,0.00008263507,0.00000851463,0.000002672289,0.000488192,0.002011557,0.00003429006,0.9888126,0.0003894878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03359334,0.3206026,0.5107833,0.002514293,0.007397198,0.002366303,0.000028853,0.007629371,0.1150847],"genre_scores_gemma":[0.63673,0.3559813,0.001150361,0.0006690426,0.0004551461,0.0001305104,0.000003848608,0.0001678598,0.004711941],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7147464,"threshold_uncertainty_score":0.5573615,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}