{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":43,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":43,"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":"349dcc17fc7f","filters":{"venue":"The Knowledge Engineering Review"}},"results":[{"id":"W2142047467","doi":"10.1017/s026988891300043x","title":"One-class classification: taxonomy of study and review of techniques","year":2014,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":599,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Taxonomy (biology); Computer science; Class (philosophy); Artificial intelligence; Novelty; One-class classification; Machine learning; Novelty detection; Open research; Focus (optics); Field (mathematics); Data science; Classifier (UML); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03697558393053042,"gpt":0.2757778478196157,"spread":0.2388022638890853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010318,0.00009397303,0.000326169,0.00004223852,0.00004845366,0.000006049466,0.0005323584,0.00002043174,0.000005782394],"category_scores_gemma":[0.00009570798,0.00007088943,0.00005947839,0.0004635036,0.0000316093,0.00006630291,0.0001938652,0.00008852603,0.00000480814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001355819,"about_ca_system_score_gemma":0.00001757018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001857617,"about_ca_topic_score_gemma":3.482997e-7,"domain_scores_codex":[0.999208,0.00006838575,0.0003957568,0.0001637797,0.00008809374,0.00007598716],"domain_scores_gemma":[0.9988235,0.00009442253,0.0001766938,0.000742688,0.0001328698,0.00002979633],"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":[2.945158e-7,0.0001702276,0.0000427928,0.02428487,0.0000269178,4.164716e-8,0.00007828805,3.039488e-7,0.0006283068,0.07608179,0.001295165,0.897391],"study_design_scores_gemma":[0.00007985232,0.0002290357,0.001748278,0.03266065,0.0001280493,0.000009022103,0.000005276189,0.006855361,0.004259545,0.0002338194,0.9535403,0.0002508047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0001173106,0.24707,0.7464749,0.000868318,0.0000369658,0.001821231,7.496114e-7,0.0002410961,0.003369422],"genre_scores_gemma":[0.4318463,0.4951124,0.06976023,0.0003931996,0.000111981,0.002513235,0.000001566308,0.00003073633,0.0002303264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9522451,"threshold_uncertainty_score":0.2890787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028470267","doi":"10.1017/s0269888906000737","title":"A survey of Knowledge Discovery and Data Mining process models","year":2006,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":388,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Data science; Process (computing); Business process discovery; Interoperability; Knowledge extraction; Process mining; Process modeling; Automation; Knowledge management; Data mining; Work in process; Engineering; Business process; Business process management; World Wide Web; Business process modeling","retraction":null,"screen_n_in":null,"score":{"opus":0.06022485778747027,"gpt":0.3127235079404043,"spread":0.252498650152934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207374,0.0001380946,0.0002739446,0.00003887047,0.00005948018,0.00007155499,0.00167519,0.00002238678,8.151715e-7],"category_scores_gemma":[0.0001160935,0.00009742666,0.00002187266,0.000660972,0.00003584538,0.0006403925,0.0007245654,0.0000871629,0.000007602755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009341035,"about_ca_system_score_gemma":0.00006915636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005455256,"about_ca_topic_score_gemma":0.00003670966,"domain_scores_codex":[0.9990568,0.0000477771,0.0003039674,0.0003359775,0.00008733875,0.0001680981],"domain_scores_gemma":[0.9982213,0.0002800973,0.00008235662,0.001284381,0.00009691175,0.00003492817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001947954,0.0004680764,0.0004860471,0.01265294,0.0001006057,0.000001893417,0.001349314,0.001637953,0.0001364389,0.05433729,0.02044757,0.9083799],"study_design_scores_gemma":[0.00007448395,0.000009716853,0.003792393,0.002019385,0.00002839564,0.000009555325,0.000002724558,0.9863476,0.00002782707,0.0001191453,0.007400224,0.0001685139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001994503,0.4023069,0.5937769,0.0001362463,0.0001161694,0.0003138922,0.0001059957,0.0001077885,0.001141591],"genre_scores_gemma":[0.9027498,0.02816456,0.06690317,0.00005909103,0.0002994513,0.0002174325,0.0004055205,0.00007908728,0.001121843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847097,"threshold_uncertainty_score":0.3972944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166752908","doi":"10.1017/s0269888902000358","title":"UML for ontology development","year":2002,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":158,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Unified Modeling Language; Computer science; Scope (computer science); Applications of UML; Ontology; Software engineering; UML tool; Model-driven architecture; Software; Programming language; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.04874355400138837,"gpt":0.2624722398222387,"spread":0.2137286858208503,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003515935,0.0001151083,0.0002219508,0.00002819564,0.00006873929,0.00002143475,0.0007775452,0.00002730507,0.00002152276],"category_scores_gemma":[0.0002014588,0.00007309811,0.00006428751,0.0001737606,0.00001273817,0.00006330507,0.0001136342,0.00006783959,0.0002824215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002700317,"about_ca_system_score_gemma":0.00001537265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.132785e-7,"about_ca_topic_score_gemma":0.000002864764,"domain_scores_codex":[0.9993235,0.00001948707,0.0002000341,0.0001678,0.0000557786,0.00023344],"domain_scores_gemma":[0.9992813,0.0002064903,0.00003269739,0.0004037611,0.00004164279,0.00003414146],"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":[3.078437e-7,0.00003972977,0.00001343799,0.001983042,0.00003591768,0.000002463117,0.0008247439,0.0000229171,0.00003255615,0.04474523,0.01942176,0.9328779],"study_design_scores_gemma":[0.0001012796,0.00001858156,0.0003311385,0.0007805042,0.00001468135,0.00002942953,0.00000148353,0.05477702,0.0001840488,0.00009748719,0.9435068,0.000157588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001250074,0.4368155,0.5575318,0.002129893,0.0006178993,0.0003736204,1.680308e-7,0.000257262,0.002148832],"genre_scores_gemma":[0.2109348,0.1269327,0.6378843,0.00469987,0.001154813,0.002295566,0.000006416407,0.0001299949,0.01596152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9327203,"threshold_uncertainty_score":0.3630051,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122435612","doi":"10.1017/s0269888905000251","title":"An overview of methods and tools for ontology learning from texts","year":2004,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México; Atomic Energy of Canada Limited; Comunidad de Madrid","keywords":"Ontology; Ontology learning; Computer science; Process (computing); Information retrieval; Process ontology; Ontology-based data integration; Ontology alignment; Upper ontology; Artificial intelligence; Data science; Natural language processing; Suggested Upper Merged Ontology; Semantic Web; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.1178317261423186,"gpt":0.399929028000486,"spread":0.2820973018581674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008537666,0.0001169907,0.0003841022,0.00002720736,0.00004300879,0.00004035036,0.0005454641,0.00003883172,0.000003475229],"category_scores_gemma":[0.0006977256,0.00007836189,0.0000686857,0.0001546522,0.00002671943,0.0002401033,0.0001059166,0.0001015919,0.000004746033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001465732,"about_ca_system_score_gemma":0.00003047948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001327048,"about_ca_topic_score_gemma":0.000006472931,"domain_scores_codex":[0.9992664,0.0001060382,0.0002313064,0.0001984574,0.00003923926,0.0001584976],"domain_scores_gemma":[0.9985958,0.0008428615,0.00006834871,0.0004074041,0.00004775253,0.0000377891],"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":[0.000001086286,0.00002459866,0.0000155655,0.001917936,0.00003215754,7.077018e-7,0.0006026658,0.0004565613,0.001429686,0.07694361,0.00002414633,0.9185513],"study_design_scores_gemma":[0.003418732,0.001630587,0.03491626,0.03699766,0.0009176837,0.0002229656,0.0002002195,0.264332,0.02208303,0.05711566,0.5757672,0.002397967],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001427837,0.4751985,0.5226789,0.0002515411,0.0001352864,0.0001784414,3.734093e-7,0.00007082697,0.00005832607],"genre_scores_gemma":[0.1044303,0.1389545,0.7560725,0.00023604,0.0001387515,0.0001076383,0.000004257179,0.00002518437,0.00003088713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9161533,"threshold_uncertainty_score":0.3195505,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2994830123","doi":"10.1017/s0269888919000237","title":"A review and comparison of ontology-based approaches to robot autonomy","year":2019,"lang":"en","type":"review","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":123,"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; University of Waterloo","funders":"Interreg; Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; Deutsche Forschungsgemeinschaft","keywords":"Variety (cybernetics); Computer science; Ontology; Scope (computer science); Domain (mathematical analysis); USable; Robot; Reuse; Autonomy; Process ontology; Set (abstract data type); Human–computer interaction; Ontology language; Software engineering; Knowledge management; Artificial intelligence; Domain knowledge; Programming language; World Wide Web; Engineering; Semantic Web","retraction":null,"screen_n_in":null,"score":{"opus":0.2548355397824797,"gpt":0.3562820892034039,"spread":0.1014465494209242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001189551,0.0005655005,0.004443616,0.0001487796,0.00004122526,0.00003495172,0.002104905,0.0001477604,0.000007734697],"category_scores_gemma":[0.0003471989,0.0003430766,0.0004867014,0.0007349339,0.00004998707,0.00007094394,0.000544941,0.0004193271,0.000183833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008492891,"about_ca_system_score_gemma":0.0004074826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002487713,"about_ca_topic_score_gemma":0.000001890097,"domain_scores_codex":[0.997594,0.0002548941,0.001073362,0.0005835695,0.000129532,0.0003646626],"domain_scores_gemma":[0.9970046,0.0007700452,0.000417103,0.001646313,0.00005716503,0.0001047405],"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":[8.275567e-8,0.00002020356,4.150671e-7,0.3988792,0.00005416765,3.524714e-7,0.00003595528,0.00001094519,2.226466e-8,0.002043186,0.001096018,0.5978594],"study_design_scores_gemma":[0.00003437032,0.0000355543,0.000002473736,0.2559575,0.001138795,0.00001915436,4.670563e-7,0.001495169,4.070063e-7,0.000004480602,0.7410375,0.0002741219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.341224e-8,0.9552842,0.04077401,0.0006165626,0.0003114711,0.002482325,0.000002884047,0.000143925,0.0003846402],"genre_scores_gemma":[0.000001683324,0.9871072,0.01208855,0.0002659488,0.00004066496,0.0003487864,0.000006518002,0.00003173104,0.0001088909],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7399415,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034640569","doi":"10.1017/s0269888907001051","title":"Argument diagramming in logic, law and artificial intelligence","year":2007,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":119,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada; Leverhulme Trust","keywords":"Argumentation theory; Argument (complex analysis); Informal logic; Argument map; Epistemology; Context (archaeology); Computer science; Artificial intelligence; Sociology; Philosophy; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.03838808087768127,"gpt":0.2908047808376755,"spread":0.2524166999599943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635645,0.0001037895,0.0001675721,0.00004457792,0.0000445849,0.00003908674,0.0002617686,0.00002568017,0.000004371159],"category_scores_gemma":[0.00007252809,0.00007175808,0.00003193765,0.0002929334,0.00001325587,0.0001067628,0.0001026519,0.0001083424,0.0000568979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004207822,"about_ca_system_score_gemma":0.000006726124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001871847,"about_ca_topic_score_gemma":0.00006550963,"domain_scores_codex":[0.9991879,0.00003310011,0.0003186982,0.0001741054,0.00008727907,0.0001988841],"domain_scores_gemma":[0.9994581,0.0001687632,0.00004674349,0.0002582094,0.00002174507,0.00004642882],"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":[5.69157e-7,0.00003542622,0.00002613678,0.001000492,0.000005847634,0.000006329123,0.0007972545,0.0001676392,0.0003330865,0.643398,0.00002871414,0.3542004],"study_design_scores_gemma":[0.0003349036,0.0001937481,0.008844496,0.0220621,0.000081126,0.0001486,0.0001126321,0.6305169,0.01146112,0.01096694,0.3133685,0.001908851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008775837,0.116627,0.8804765,0.0003455601,0.0004231151,0.0003814691,1.390073e-7,0.00007447146,0.0007941034],"genre_scores_gemma":[0.9849735,0.008642278,0.005874387,0.0002684804,0.0001561112,0.00003132156,7.110362e-7,0.0000105256,0.00004271659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9840959,"threshold_uncertainty_score":0.292621,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2990827037","doi":"10.1017/s0269888919000109","title":"Ontologies for Industry 4.0","year":2019,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":92,"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; University of Waterloo","funders":"Interreg; Fundação para a Ciência e a Tecnologia; Monash University","keywords":"Interoperability; Standardization; Computer science; Industry 4.0; Factory (object-oriented programming); Cyber-physical system; Domain (mathematical analysis); Software engineering; Software; Data science; World Wide Web; Embedded system","retraction":null,"screen_n_in":null,"score":{"opus":0.02311095662064696,"gpt":0.2562593965376561,"spread":0.2331484399170091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002351505,0.0001678022,0.0002424356,0.00003608667,0.0000206985,0.00002740322,0.0003049771,0.0001350446,0.0001065308],"category_scores_gemma":[0.00006783936,0.0001232363,0.00009777803,0.0002105892,0.00001254397,0.0001687928,0.00001945632,0.0003746922,0.0005868414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005161437,"about_ca_system_score_gemma":0.00001397119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.645627e-7,"about_ca_topic_score_gemma":2.457536e-7,"domain_scores_codex":[0.9993395,0.000006453813,0.0002548557,0.00009307068,0.0000679301,0.0002382445],"domain_scores_gemma":[0.9994072,0.0001803215,0.00001709933,0.0003155316,0.00003704734,0.00004277466],"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":[0.00001030907,0.000106638,0.0004481246,0.126528,0.0006885164,0.000002693231,0.001090247,0.1600866,0.001236975,0.06659003,0.2499532,0.3932588],"study_design_scores_gemma":[0.0001833074,0.00001907928,0.0001858465,0.003500139,0.00003923975,0.00001360448,0.00002601101,0.01674893,0.0005253893,0.00006478866,0.9784052,0.0002884709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02273645,0.5256028,0.02052211,0.001173161,0.006909065,0.005338339,0.00007582891,0.004541426,0.4131008],"genre_scores_gemma":[0.9664428,0.02164321,0.00180422,0.0003471406,0.0006651252,0.001266156,0.00004464254,0.0002685933,0.007518123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9437063,"threshold_uncertainty_score":0.7542855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1993078560","doi":"10.1017/s0269888902000486","title":"Commitment-based and dialogue-game-based protocols: new trends in agent communication languages","year":2002,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Conversation; Flexibility (engineering); Context (archaeology); Point (geometry); Dialectic; Human–computer interaction; Communication; Sociology; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.05724196820385238,"gpt":0.3096397515601957,"spread":0.2523977833563433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005543308,0.0001448118,0.0002345146,0.0001085593,0.0000444609,0.00005603362,0.0005246654,0.00003340157,0.00003826165],"category_scores_gemma":[0.00005681898,0.0001049214,0.00005516637,0.0004507687,0.00001234749,0.0001045368,0.00007147817,0.0001248535,0.00005228773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006232192,"about_ca_system_score_gemma":0.00001353625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003379122,"about_ca_topic_score_gemma":0.00003844636,"domain_scores_codex":[0.9991012,0.000169188,0.0002865455,0.0001762218,0.0001078837,0.0001589819],"domain_scores_gemma":[0.9989583,0.000143357,0.00008645942,0.000728577,0.00002119106,0.00006212795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002711552,0.00032294,0.0005318184,0.003939452,0.00002644202,0.000005612601,0.002276173,0.002507163,0.0002733493,0.003858123,0.01283755,0.9734187],"study_design_scores_gemma":[0.001018644,0.00005542656,0.005640316,0.006531621,0.00002045724,0.000003476144,0.000003836812,0.7856691,0.0002074178,0.000008628886,0.2005582,0.000282879],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001692044,0.691997,0.2745919,0.01065725,0.0003662315,0.01739099,0.000006680404,0.0007815313,0.002516401],"genre_scores_gemma":[0.954372,0.01084998,0.02050378,0.0012472,0.0002728589,0.01044616,0.00005569617,0.00008428367,0.002168008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9731358,"threshold_uncertainty_score":0.427857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2560100475","doi":"10.1017/s0269888916000217","title":"Storing massive Resource Description Framework (RDF) data: a survey","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"RDF; RDF/XML; Computer science; RDF Schema; Simple Knowledge Organization System; Cwm; SPARQL; Linked data; RDF query language; NoSQL; Database; Semantic Web; Information retrieval; World Wide Web; Scalability; Web search query","retraction":null,"screen_n_in":null,"score":{"opus":0.09351567540660552,"gpt":0.3017580043145725,"spread":0.208242328907967,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954153,0.0001722149,0.0002870035,0.00004307547,0.00008067441,0.00006971497,0.002319446,0.00005345916,0.00001029879],"category_scores_gemma":[0.002637209,0.00009032474,0.00005172976,0.0004367015,0.0000294107,0.0003785543,0.0007971039,0.0001679108,0.0002577352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006333498,"about_ca_system_score_gemma":0.00003914352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008332471,"about_ca_topic_score_gemma":0.000008604869,"domain_scores_codex":[0.9987372,0.0001868572,0.0002545112,0.0003699051,0.0001520679,0.0002994378],"domain_scores_gemma":[0.9966648,0.00120581,0.0000758222,0.001922861,0.00006817735,0.00006257679],"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":[0.000006806683,0.00008482563,0.001439965,0.002839097,0.000154431,0.00002473973,0.001030932,0.00008461108,0.0007413765,0.06323871,0.04977317,0.8805813],"study_design_scores_gemma":[0.0003018977,0.00006359616,0.03486856,0.02571993,0.00009097656,0.00005350499,0.00001393754,0.01880949,0.000262224,0.001071643,0.9179108,0.0008334711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004292631,0.1876074,0.8087519,0.001519418,0.0008565485,0.0002181151,0.000004556982,0.0003210569,0.0002918289],"genre_scores_gemma":[0.6968604,0.1774311,0.1170446,0.001252583,0.002509024,0.000270045,0.00003309971,0.0001847563,0.00441444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8797479,"threshold_uncertainty_score":0.4310147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2603222250","doi":"10.1017/s0269888917000029","title":"The state of the art in semantic relatedness: a framework for comparison","year":2017,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; WordNet; Closeness; Semantic similarity; Similarity (geometry); Strengths and weaknesses; Representation (politics); Domain (mathematical analysis); Metric (unit); Data science; Information retrieval; Artificial intelligence; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02277658548795489,"gpt":0.3350866112312231,"spread":0.3123100257432682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124264,0.0001366069,0.0003500015,0.00002796532,0.0002600932,0.00007912945,0.002863405,0.00003117141,7.011637e-7],"category_scores_gemma":[0.001270604,0.00006516041,0.0001632491,0.0003164824,0.00007800072,0.0001434472,0.0004515054,0.0002984411,0.00001528406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003778853,"about_ca_system_score_gemma":0.00002820639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002434124,"about_ca_topic_score_gemma":0.00002050413,"domain_scores_codex":[0.9990218,0.00006408245,0.0004012596,0.0001730689,0.0001217837,0.0002179688],"domain_scores_gemma":[0.9969714,0.0006470021,0.0002988218,0.00198006,0.00008037101,0.00002228734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008327102,0.000154522,0.0005333703,0.004561862,0.0001948595,0.00000244043,0.00240088,0.00400587,0.0003382199,0.2714649,0.004822389,0.7115124],"study_design_scores_gemma":[0.0002707999,0.00006191943,0.005796297,0.02757338,0.0001746956,0.000009746751,0.000009370128,0.5686952,0.003181486,0.08032832,0.3133547,0.0005440623],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005141936,0.1036244,0.8928441,0.001749143,0.0002904073,0.0007374853,6.351911e-7,0.0000910705,0.0001485664],"genre_scores_gemma":[0.8454099,0.0496047,0.1024472,0.000164593,0.0001230878,0.000633939,9.667364e-7,0.00007193816,0.001543642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8448957,"threshold_uncertainty_score":0.5320966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W82475208","doi":"10.1017/s0269888911000191","title":"Representing and classifying arguments on the Semantic Web","year":2011,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Argument (complex analysis); Argumentation theory; Argument map; Ontology; Inference; Reification (Marxism); Knowledge representation and reasoning; Semantic Web; Artificial intelligence; Natural language processing; Information retrieval; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.0709748468969403,"gpt":0.2602350173504424,"spread":0.1892601704535021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009924705,0.0001177292,0.0001552,0.0000310376,0.0001245973,0.00004764042,0.0004783111,0.00002018942,0.00001526052],"category_scores_gemma":[0.0001554509,0.00006196007,0.00005096123,0.0002163804,0.00001129385,0.0001089514,0.0001745756,0.0001299506,0.0001452921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001623418,"about_ca_system_score_gemma":0.000009548751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004319478,"about_ca_topic_score_gemma":0.000001097455,"domain_scores_codex":[0.999222,0.00009058609,0.0002141391,0.0001961912,0.0001097418,0.0001672955],"domain_scores_gemma":[0.9991264,0.0001731541,0.00007813244,0.0005605806,0.00002569491,0.00003603123],"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":[0.00000715517,0.0004624049,0.00474521,0.02443537,0.0005661124,0.00004212344,0.02320738,0.0001841473,0.009836027,0.5012661,0.02259705,0.4126509],"study_design_scores_gemma":[0.000431102,0.00007029391,0.02033949,0.02299694,0.0001221234,0.00007923476,0.0000394721,0.8303636,0.001752322,0.0003122868,0.1227677,0.0007254328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1089271,0.579605,0.2490487,0.006094227,0.005551811,0.005166378,0.000002331381,0.001405667,0.0441987],"genre_scores_gemma":[0.9909534,0.007443664,0.0007944608,0.0001686597,0.0001082306,0.00005664513,2.831576e-7,0.00001495932,0.0004596951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8820263,"threshold_uncertainty_score":0.2526658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1980348251","doi":"10.1017/s0269888912000434","title":"itSIMPLE: towards an integrated design system for real planning applications","year":2013,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Unified Modeling Language; Process (computing); Software engineering; Domain (mathematical analysis); Systems engineering; Engineering design process; Petri net; Engineering; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.04216769480283818,"gpt":0.2901462978541217,"spread":0.2479786030512835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160457,0.0002018506,0.0002898724,0.00005793382,0.0001938411,0.0001387111,0.001039969,0.00005264959,0.000006387595],"category_scores_gemma":[0.00007792738,0.0001383905,0.00007229078,0.0004940775,0.00001179814,0.0002560556,0.00007970377,0.0001784805,0.0001229036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007606931,"about_ca_system_score_gemma":0.0001042233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002495241,"about_ca_topic_score_gemma":3.354071e-7,"domain_scores_codex":[0.99887,0.0001081786,0.000320918,0.0002844939,0.00009548371,0.0003209159],"domain_scores_gemma":[0.998553,0.0004022063,0.0000869967,0.0006632182,0.0001789166,0.0001156485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003572095,0.00006745016,0.00002094126,0.0124945,0.0001133831,0.000003007938,0.002151394,0.02636285,0.0006815848,0.04911057,0.02417465,0.8848161],"study_design_scores_gemma":[0.0001263511,0.00007775052,0.00007320529,0.004951981,0.00005096434,0.00003103347,0.00002867931,0.8623099,0.0002155368,0.0001220751,0.1316842,0.000328373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002837311,0.04230903,0.9546093,0.0002277601,0.0001697872,0.001432692,0.000003701297,0.0006813803,0.0005379967],"genre_scores_gemma":[0.1690551,0.004328852,0.8115993,0.0004257195,0.001039858,0.01212051,0.0001285701,0.0001876392,0.001114512],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8844877,"threshold_uncertainty_score":0.56434,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151413202","doi":"10.1017/s0269888906000671","title":"Image processing in case-based reasoning","year":2005,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Image processing; Landmark; Variety (cybernetics); Artificial intelligence; Image (mathematics); Case-based reasoning; Computer vision; Spatial intelligence; Digital image processing","retraction":null,"screen_n_in":null,"score":{"opus":0.01334419857118683,"gpt":0.2601711179524967,"spread":0.2468269193813099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362809,0.0001836142,0.0002477924,0.0000893146,0.0001143759,0.00009764284,0.0005979507,0.00003725112,0.00001154614],"category_scores_gemma":[0.0001979946,0.000137132,0.00006405343,0.0007331212,0.00001535641,0.0002868486,0.0000909878,0.000322617,0.0001140138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008151732,"about_ca_system_score_gemma":0.0000992128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007096301,"about_ca_topic_score_gemma":0.000008210372,"domain_scores_codex":[0.998917,0.00007988779,0.0003022598,0.000255186,0.0001063719,0.0003392699],"domain_scores_gemma":[0.9991823,0.0001710106,0.00006954474,0.0004596758,0.00005183147,0.0000655952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002094718,0.00008617845,0.0001538458,0.007571417,0.00001096468,0.000469665,0.001936549,0.0196075,0.0003228901,0.001957592,0.003208881,0.9646724],"study_design_scores_gemma":[0.0001334034,0.00001205668,0.00007213322,0.0097076,0.00001300147,0.0003497897,0.000002854175,0.9332703,0.00009487643,0.000008362977,0.05611526,0.0002203649],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001143254,0.4145001,0.5787368,0.002572245,0.0001474547,0.0003565059,8.022387e-7,0.0004996545,0.002043218],"genre_scores_gemma":[0.5031696,0.002372219,0.492451,0.0009955073,0.0004359162,0.0001650816,0.000005014977,0.00007346741,0.0003321999],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.964452,"threshold_uncertainty_score":0.559208,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2490545168","doi":"10.1017/s0269888916000114","title":"HuroCup: competition for multi-event humanoid robot athletes","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Humanoid robot; Competition (biology); Athletes; Event (particle physics); Robot; Focus (optics); Computer science; Simulation; Psychology; Artificial intelligence; Physical therapy","retraction":null,"screen_n_in":null,"score":{"opus":0.02651717260335016,"gpt":0.2641758258544626,"spread":0.2376586532511124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000317979,0.0002108958,0.0003063453,0.00004043633,0.0000595633,0.00001591969,0.0002445462,0.00004183836,0.00009638791],"category_scores_gemma":[0.0001057848,0.0001228515,0.0001805648,0.0001098996,0.00001788922,0.00006909878,0.0000256174,0.00008526612,0.0003795201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008115347,"about_ca_system_score_gemma":0.00001048647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.670403e-7,"about_ca_topic_score_gemma":0.000001589947,"domain_scores_codex":[0.9991757,0.00002493708,0.0003073637,0.0001455489,0.00007258454,0.0002739027],"domain_scores_gemma":[0.9993631,0.0001594242,0.00003015381,0.0003189505,0.00005933123,0.00006902538],"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":[0.000009216129,0.0002359705,0.00001673623,0.01868636,0.0004570709,0.000003678316,0.0003514363,0.04284134,0.066687,0.05907897,0.01247393,0.7991583],"study_design_scores_gemma":[0.002138019,0.00008903664,0.0004845487,0.01527508,0.0002568579,0.00002114172,0.000006111499,0.2745846,0.003061197,0.0001527574,0.7030811,0.0008495174],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001220326,0.1360584,0.8606191,0.0005412744,0.0007225812,0.0009126796,0.000008767283,0.0005631925,0.0004519934],"genre_scores_gemma":[0.8679131,0.1059064,0.01311436,0.0004841817,0.001578958,0.00245652,0.0000324616,0.0003741678,0.008139855],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8677911,"threshold_uncertainty_score":0.5009739,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2564265628","doi":"10.1017/s0269888916000254","title":"Logic-based Benders decomposition for planning and scheduling: a computational analysis","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research; National Science Foundation","keywords":"Benders' decomposition; Scheduling (production processes); Mathematical optimization; Computer science; Implementation; Constraint programming; Integer programming; Job shop scheduling; Theoretical computer science; Operations research; Mathematics; Programming language; Schedule; Stochastic programming","retraction":null,"screen_n_in":null,"score":{"opus":0.02560682844979911,"gpt":0.3048572922159124,"spread":0.2792504637661133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003037086,0.00008471742,0.0001459804,0.0001002238,0.00007866578,0.0000348495,0.0001361917,0.00001938817,0.000009950769],"category_scores_gemma":[0.00008560388,0.00005187071,0.00007892928,0.0003699377,0.00001633887,0.0001037364,0.00002544768,0.00003332492,0.000005248427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002907327,"about_ca_system_score_gemma":0.000026306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.078482e-7,"about_ca_topic_score_gemma":5.347547e-7,"domain_scores_codex":[0.9994991,0.00002600867,0.000155624,0.0001572344,0.00006132421,0.0001006858],"domain_scores_gemma":[0.9992973,0.0004033906,0.00005032229,0.0001373099,0.00007183049,0.00003985172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004246486,0.00002890168,0.0005646143,0.0008656444,0.0002595552,9.329573e-7,0.00018834,0.6939742,0.0001999776,0.06926845,0.0002220037,0.2344231],"study_design_scores_gemma":[0.0001890916,0.00001335211,0.00215223,0.000611976,0.0001033857,0.000003753472,0.000001180843,0.9951355,0.00002204677,0.0003323028,0.001339006,0.00009615153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001533925,0.01277275,0.9845008,0.002155781,0.0000701833,0.0001979226,0.000002072191,0.0001013385,0.00004576029],"genre_scores_gemma":[0.6560736,0.0008335697,0.3424704,0.0004420524,0.00004835427,0.00007947579,0.00001449269,0.00001083227,0.00002722988],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6559201,"threshold_uncertainty_score":0.2115226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2197326744","doi":"10.1017/s0269888910000354","title":"Robotics competitions as benchmarks for AI research","year":2011,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Robotics; Benchmark (surveying); Artificial intelligence; Computer science; Applications of artificial intelligence; Robot","retraction":null,"screen_n_in":null,"score":{"opus":0.1069341295820813,"gpt":0.3609366505106727,"spread":0.2540025209285914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001883791,0.0001587589,0.0002392108,0.0001046274,0.0002326873,0.00007228665,0.001574926,0.00004819043,0.0001021167],"category_scores_gemma":[0.0006741792,0.0001182149,0.0001196599,0.0006996104,0.00005850954,0.0001781705,0.0003754309,0.0004430115,0.0004887831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006536955,"about_ca_system_score_gemma":0.00009518593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003649979,"about_ca_topic_score_gemma":9.115319e-7,"domain_scores_codex":[0.9986507,0.0001045652,0.0003171384,0.0002431092,0.000237343,0.0004470865],"domain_scores_gemma":[0.9980001,0.0005523476,0.00005118678,0.0009510533,0.0003458033,0.00009950138],"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":[0.000001169937,0.00004914116,0.0000100854,0.002300092,0.00004583272,0.00000334269,0.0009280858,0.0502697,0.00002364307,0.9254194,0.01521416,0.005735372],"study_design_scores_gemma":[0.0001683876,0.0001895056,0.0001074867,0.003651814,0.00004655369,0.00003595408,0.00001025351,0.5905299,0.0001291682,0.001893689,0.402916,0.0003212838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000004729257,0.027464,0.9506235,0.001260811,0.00053445,0.0007819554,6.369146e-7,0.0001599061,0.01917],"genre_scores_gemma":[0.1588029,0.08110286,0.7326562,0.003158629,0.001713633,0.00222928,0.00009030831,0.0003182791,0.0199279],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9235257,"threshold_uncertainty_score":0.6282481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2154897200","doi":"10.1017/s0269888906000956","title":"Building autonomic systems using collaborative reinforcement learning","year":2006,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity College","funders":"","keywords":"Reinforcement learning; Computer science; Adaptation (eye); Distributed computing; Routing (electronic design automation); Set (abstract data type); Protocol (science); Artificial intelligence; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01384698971182375,"gpt":0.2570420959479594,"spread":0.2431951062361357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009013143,0.000245917,0.000387093,0.0001340306,0.0001668807,0.0001606598,0.001230687,0.00005173262,0.000002028452],"category_scores_gemma":[0.0001707783,0.0001900979,0.00006749806,0.00142592,0.00002179493,0.0001980964,0.0005516515,0.0002759382,0.0001002399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355705,"about_ca_system_score_gemma":0.00008029521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002117087,"about_ca_topic_score_gemma":0.000001316071,"domain_scores_codex":[0.9985979,0.00007039696,0.0004262963,0.0003155152,0.0001673876,0.0004225097],"domain_scores_gemma":[0.9988703,0.0001541911,0.0001294988,0.0006678896,0.0001263766,0.00005178698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.303097e-7,0.000006165748,0.000007435346,0.0004534441,0.00001971278,0.000003246201,0.00007928521,0.9257914,0.001059803,0.06293482,0.0016444,0.007999984],"study_design_scores_gemma":[0.00006178363,0.00002489412,0.00003661375,0.003218052,0.0000223534,0.00001955631,0.00000527858,0.7803543,0.0003411897,0.00005032439,0.2156134,0.0002522712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001917442,0.1756987,0.818711,0.0003879325,0.0006724739,0.0007011351,3.773764e-7,0.001022138,0.0008888421],"genre_scores_gemma":[0.8630313,0.005273629,0.1289608,0.0001274028,0.0006477595,0.0003488108,0.000003430548,0.00009029694,0.001516498],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8611139,"threshold_uncertainty_score":0.7751967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083084058","doi":"10.1017/s0269888900004033","title":"Meta-knowledge in systems design: panacea … or undelivered promise?","year":2000,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Panacea (medicine); Computer science; Reuse; Knowledge management; Context (archaeology); Variety (cybernetics); Software deployment; Field (mathematics); Consistency (knowledge bases); Tacit knowledge; Knowledge sharing; Data science; Management science; Software engineering; Artificial intelligence; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06859945824191117,"gpt":0.2703916376565486,"spread":0.2017921794146374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001242794,0.0003777652,0.0007592054,0.000122119,0.00009249718,0.0001045629,0.001911752,0.00006975204,0.0001730261],"category_scores_gemma":[0.0000202118,0.0002115983,0.0001918278,0.00167216,0.00001822095,0.0002448079,0.0001964094,0.0003070811,0.0007048388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000722132,"about_ca_system_score_gemma":0.0001173614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000042884,"about_ca_topic_score_gemma":0.00006465836,"domain_scores_codex":[0.9979553,0.0003507246,0.0005507082,0.0004714407,0.000190093,0.0004816935],"domain_scores_gemma":[0.9981269,0.0004958755,0.00007595473,0.001089672,0.00008375414,0.0001278542],"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":[0.0001368741,0.001533578,0.00002772872,0.06288525,0.005050746,0.0002748772,0.02486735,0.1138642,0.0007487353,0.0444417,0.009914507,0.7362545],"study_design_scores_gemma":[0.0007001195,0.0001452595,0.0001619477,0.007570653,0.0009287377,0.0001543453,0.00003441179,0.3850344,0.0001937864,0.0001387343,0.6040433,0.0008942785],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0009185675,0.9262062,0.06403354,0.0008594833,0.0006991104,0.002055014,0.000003162582,0.0005747117,0.004650202],"genre_scores_gemma":[0.4586127,0.4371817,0.05676769,0.004851608,0.002665211,0.006780381,0.00004299753,0.000635644,0.03246207],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7353602,"threshold_uncertainty_score":0.9059513,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023067667","doi":"10.1017/s0269888910000329","title":"Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification","year":2010,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Discretization; Computer science; Scalability; Naive Bayes classifier; Machine learning; Artificial intelligence; Maximization; Data mining; Classifier (UML); Bayes' theorem; Estimator; Algorithm; Mathematics; Bayesian probability; Mathematical optimization; Statistics; Support vector machine","retraction":null,"screen_n_in":null,"score":{"opus":0.02308276804678729,"gpt":0.2851675183899761,"spread":0.2620847503431888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802614,0.000189109,0.0001834441,0.00003732653,0.0003238789,0.0001761491,0.0009747427,0.00007132721,0.00000614738],"category_scores_gemma":[0.0006036004,0.00009299239,0.00008411976,0.0004084122,0.00006662907,0.0001392299,0.0001106615,0.0003864849,0.00001618409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031389,"about_ca_system_score_gemma":0.00008652141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005471597,"about_ca_topic_score_gemma":0.000006345785,"domain_scores_codex":[0.9990214,0.00007134906,0.0002680992,0.0002840921,0.0001331103,0.0002219489],"domain_scores_gemma":[0.9979151,0.0009469779,0.00009882923,0.0008257373,0.0001611055,0.00005226824],"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":[0.00000697934,0.00006877394,0.00002949178,0.002966907,0.00006867875,7.913472e-7,0.001320748,0.002015705,0.04423323,0.5096719,0.001728199,0.4378886],"study_design_scores_gemma":[0.00008583062,0.00003230041,0.0001442018,0.0013435,0.0000662449,0.00001912497,0.000009407604,0.940798,0.003588984,0.001704252,0.05199295,0.0002151351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001239401,0.03579262,0.9567856,0.005617721,0.0003072603,0.001024584,0.000001966536,0.0001625298,0.00018379],"genre_scores_gemma":[0.9666213,0.01214122,0.01850336,0.0007070067,0.0003761292,0.001395862,0.000008794299,0.00004692449,0.0001994047],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9664974,"threshold_uncertainty_score":0.379212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884439071","doi":"10.1017/s0269888921000035","title":"Safe option-critic: learning safety in the option-critic architecture","year":2021,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":24,"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":"Computer science; Reinforcement learning; Consistency (knowledge bases); State space; Variance (accounting); Function (biology); Artificial intelligence; Grid; Architecture; Machine learning; Mathematical optimization; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01161079066951347,"gpt":0.255187380824089,"spread":0.2435765901545756,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001643789,0.000252554,0.0003484565,0.00007756652,0.0002174392,0.0001816222,0.001359793,0.00005676823,0.00004580128],"category_scores_gemma":[0.001389107,0.000167739,0.0001574795,0.00114716,0.00004102598,0.0001792027,0.0003206074,0.0009715615,0.0002983311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009484505,"about_ca_system_score_gemma":0.0001016009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002195289,"about_ca_topic_score_gemma":0.000002727673,"domain_scores_codex":[0.9979494,0.0004507728,0.0004974639,0.0003397594,0.000324367,0.0004382],"domain_scores_gemma":[0.9978253,0.0009706583,0.00006709701,0.0009417705,0.000131885,0.0000632521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.844007e-7,0.00003285973,0.00001955698,0.002182542,0.0000271462,0.00003877484,0.001842613,0.8661623,0.0001145144,0.08294491,0.0002565392,0.04637726],"study_design_scores_gemma":[0.0002249683,0.00004013082,0.0007308767,0.005541911,0.00005358993,0.000249198,0.00005991611,0.6134055,0.000042816,0.0002552715,0.3790195,0.000376346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001052779,0.1021311,0.8887724,0.00449946,0.0004756741,0.0003700208,4.166853e-7,0.0001599739,0.003485671],"genre_scores_gemma":[0.6906933,0.1747999,0.1154852,0.005543835,0.001801255,0.0005579196,0.00009113982,0.0002463204,0.01078114],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7732872,"threshold_uncertainty_score":0.6840199,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004523498","doi":"10.1017/s0269888902000450","title":"Analysis and design of agent-oriented information systems","year":2002,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Software engineering; Knowledge management","retraction":null,"screen_n_in":null,"score":{"opus":0.026866679005573,"gpt":0.2309983011549836,"spread":0.2041316221494106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006009304,0.00008521209,0.0002375677,0.0001220162,0.00003399911,0.00003145592,0.0002202861,0.00002066913,0.000006705614],"category_scores_gemma":[0.00007354094,0.00005739893,0.00005652356,0.0008721683,0.000006336424,0.0002958296,0.00004862038,0.00004393964,0.00005126211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000188229,"about_ca_system_score_gemma":0.000003778626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007379685,"about_ca_topic_score_gemma":2.488119e-7,"domain_scores_codex":[0.9993061,0.00007554292,0.0003295625,0.000083777,0.0001113015,0.00009370557],"domain_scores_gemma":[0.9993483,0.00008793884,0.0001292092,0.0003259184,0.00007463798,0.00003393496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005179704,0.0003420623,0.002156231,0.06195341,0.003188316,0.000005311233,0.02443831,0.2181733,0.001618034,0.1046136,0.01363053,0.5698758],"study_design_scores_gemma":[0.00006224805,0.00001043434,0.000803282,0.000709906,0.0001106854,0.000003542238,0.000002968308,0.980219,0.00002416034,5.323366e-7,0.01798433,0.00006889437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002516073,0.1083443,0.8906144,0.00003890982,0.0002062323,0.0003500562,7.95264e-7,0.00005271424,0.0001409468],"genre_scores_gemma":[0.9557101,0.03865821,0.005121146,0.00004274024,0.00006702186,0.00009836337,0.000005249626,0.000009929468,0.0002872625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9554585,"threshold_uncertainty_score":0.234066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071710911","doi":"10.1017/s026988891300009x","title":"Repeated games for multiagent systems: a survey","year":2013,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Formalism (music); Bounded function; Term (time); Artificial intelligence; Game theory; Repeated game; Economic model; Resource (disambiguation); Management science; Mathematical economics; Microeconomics; Mathematics; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.1589873241313356,"gpt":0.3961363390141021,"spread":0.2371490148827665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00632064,0.0001493893,0.0003749609,0.0000559568,0.0001045535,0.0001277861,0.0008463089,0.00003375536,0.0002638273],"category_scores_gemma":[0.006212329,0.00008092391,0.0001353821,0.0006805835,0.00003298021,0.00009394398,0.00008352049,0.00009592304,0.003204189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002317682,"about_ca_system_score_gemma":0.00002324831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002031943,"about_ca_topic_score_gemma":0.000004719964,"domain_scores_codex":[0.9984034,0.0002852463,0.000602259,0.0002776613,0.0002109836,0.0002205042],"domain_scores_gemma":[0.9945163,0.00376419,0.0001373931,0.0009878326,0.0005029315,0.00009133947],"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":[0.00001343999,0.0002982855,0.0003837128,0.0046639,0.0002192427,9.336269e-7,0.001344905,0.004668175,0.002034696,0.05295734,0.5576212,0.3757942],"study_design_scores_gemma":[0.0001984987,0.00002965964,0.007876051,0.001792339,0.00005957913,0.00001207617,0.00005692202,0.06157907,0.0001068722,0.001456178,0.9265234,0.0003093067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03441669,0.7673914,0.1759241,0.003593377,0.002018608,0.01166122,0.000124764,0.0006503274,0.004219434],"genre_scores_gemma":[0.9728511,0.00612891,0.0007341861,0.0001871834,0.0002440501,0.003610627,0.00002616353,0.000051675,0.01616609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9384344,"threshold_uncertainty_score":0.9975719,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033457543","doi":"10.1017/s0269888920000338","title":"Ontologies for cloud robotics","year":2020,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":12,"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; General Motors (Canada)","funders":"","keywords":"Cloud computing; Interoperability; Robotics; Computer science; Implementation; Domain (mathematical analysis); Artificial intelligence; Robot; Software engineering; Representation (politics); Knowledge representation and reasoning; Distributed computing; Systems engineering; World Wide Web; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03688110438421095,"gpt":0.251177821179059,"spread":0.214296716794848,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001975,0.000189413,0.0003688479,0.00001544671,0.00003947906,0.00002556052,0.0003146089,0.00004765052,0.000008751158],"category_scores_gemma":[0.0001759425,0.000133106,0.0001272535,0.0002146404,0.00001114194,0.00003436337,0.00003314433,0.0001403709,0.0001541873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002758832,"about_ca_system_score_gemma":0.000009780977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.577679e-7,"about_ca_topic_score_gemma":3.905235e-7,"domain_scores_codex":[0.9992616,0.00001354067,0.0002960502,0.0001199056,0.00006185332,0.0002471129],"domain_scores_gemma":[0.9994826,0.0001453333,0.00002423671,0.0002320885,0.00003918077,0.00007660298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001487378,0.00001210022,0.000004693445,0.0279668,0.0001624556,0.000002828503,0.0004280923,0.8614461,0.0009579136,0.008242889,0.08573466,0.01503997],"study_design_scores_gemma":[0.00009471079,0.0000208307,0.00001241704,0.001430436,0.00006660592,0.000005410031,0.000007057411,0.6726636,0.0001640129,0.00001570755,0.3253203,0.0001989351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0001613238,0.7147307,0.2745615,0.002527701,0.002199606,0.00125977,0.00001277579,0.002180809,0.002365833],"genre_scores_gemma":[0.7559073,0.2055804,0.02796387,0.001633917,0.006241969,0.001041882,0.00006821904,0.0007244823,0.0008379619],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.755746,"threshold_uncertainty_score":0.5427907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210327302","doi":"10.1017/s0269888921000151","title":"Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots","year":2022,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Norges Forskningsråd","keywords":"Neuroevolution; Computer science; Pruning; Modular design; Robustness (evolution); Artificial intelligence; Adaptability; Artificial neural network; Robot; Generalization; Machine learning; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01838925561508074,"gpt":0.2297927903447874,"spread":0.2114035347297067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004865134,0.0001917312,0.0003084408,0.00004890321,0.0003268914,0.00001714064,0.000138639,0.00001602088,0.000008920211],"category_scores_gemma":[0.00012202,0.0001654194,0.0000638031,0.000214102,0.00002004817,0.00004441198,0.0001472398,0.0002609261,0.000001531508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005793996,"about_ca_system_score_gemma":0.000009382696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.939186e-7,"about_ca_topic_score_gemma":1.293862e-7,"domain_scores_codex":[0.9991798,0.00003876794,0.0002236764,0.0002029172,0.00008400287,0.0002708712],"domain_scores_gemma":[0.9994983,0.0002043738,0.00003221983,0.0001766986,0.00002274079,0.0000656373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002970801,0.000004463702,9.943415e-7,0.001685591,0.00001965284,0.00000184838,0.0001260556,0.975649,0.002042719,0.0003052628,0.0001152173,0.0200462],"study_design_scores_gemma":[0.0002926216,0.00002428331,0.00005001754,0.0005458673,0.00006443538,0.0000632387,0.00001855085,0.9649662,0.0001468958,0.00001349293,0.03361996,0.0001944143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04661364,0.7231191,0.2262332,0.0004303718,0.001121224,0.00150848,0.00000966132,0.0006550575,0.0003092931],"genre_scores_gemma":[0.9875985,0.009200047,0.002316091,0.000101066,0.0002102496,0.000310931,0.00000528486,0.00009459916,0.0001632774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9409848,"threshold_uncertainty_score":0.6745609,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2521052416","doi":"10.1017/s0269888916000163","title":"Active balancing and turning for alpine skiing robots","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Robot; Terrain; Brake; Simulation; Engineering; Inclined plane; Computer science; Control theory (sociology); Artificial intelligence; Control (management); Automotive engineering; Mechanical engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.007947524968199754,"gpt":0.2223972267174494,"spread":0.2144497017492497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003171038,0.0001841693,0.0002983833,0.00003904398,0.00007128646,0.00001674907,0.000136693,0.00003688485,0.00002717535],"category_scores_gemma":[0.0002196291,0.0001062454,0.00008043899,0.0001176016,0.00001526106,0.00009764743,0.00003002125,0.00009834918,0.00003956992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006270575,"about_ca_system_score_gemma":0.000007172133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.173982e-7,"about_ca_topic_score_gemma":0.000001169467,"domain_scores_codex":[0.9993032,0.00001767336,0.0002217287,0.0001389043,0.00005654064,0.0002619779],"domain_scores_gemma":[0.9993281,0.0003299134,0.00002664402,0.0002029473,0.00004041115,0.0000719971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004784334,0.00001389753,0.00001666663,0.005538242,0.0001870474,0.000001624948,0.0003592043,0.01042487,0.0192641,0.002803375,0.002015723,0.9593705],"study_design_scores_gemma":[0.002619205,0.0001015299,0.002175312,0.03664319,0.0005033971,0.0001194277,0.00003424316,0.5129278,0.006292769,0.0002346707,0.4368805,0.00146803],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002013251,0.3085403,0.6828063,0.001391941,0.001022397,0.001329042,0.000007990401,0.0008380939,0.002050724],"genre_scores_gemma":[0.9426296,0.05117267,0.003576089,0.0001737851,0.0007968608,0.000514913,0.000004450426,0.0001676,0.0009640375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9579024,"threshold_uncertainty_score":0.4332562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989800314","doi":"10.1017/s0269888919000146","title":"A sketch drawing humanoid robot using image-based visual servoing","year":2019,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Humanoid robot; Sketch; Visual servoing; Computer science; Computer vision; Robot; Artificial intelligence; Process (computing); Human–computer interaction; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01504957096134391,"gpt":0.3053675371158152,"spread":0.2903179661544713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007182942,0.0002529538,0.0003738429,0.00009739213,0.000143092,0.0001417647,0.0009216153,0.0000285574,0.00004486919],"category_scores_gemma":[0.0001144509,0.0001904067,0.0001571439,0.0007121472,0.00001871752,0.0005415644,0.0003362237,0.0002884949,0.0005001348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009371264,"about_ca_system_score_gemma":0.00009045635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001775045,"about_ca_topic_score_gemma":2.445343e-7,"domain_scores_codex":[0.9986111,0.00007606531,0.0003445515,0.0003712438,0.0001908148,0.0004062333],"domain_scores_gemma":[0.9988037,0.000179258,0.00009466769,0.000737204,0.00009902177,0.0000861909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008501862,0.0002919505,0.000213164,0.02208447,0.0001216259,0.00004660437,0.001413214,0.07531322,0.2369248,0.006934397,0.0009964018,0.6556517],"study_design_scores_gemma":[0.0001964261,0.00001846281,0.0001020979,0.006205742,0.0000191195,0.00001957377,0.000004135484,0.9750415,0.002125203,0.0000227375,0.01595666,0.000288339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002472589,0.05452641,0.9406819,0.0003324813,0.0006105714,0.0004139262,2.357133e-7,0.000360477,0.0006013708],"genre_scores_gemma":[0.2777247,0.003955313,0.7136012,0.002510246,0.0005748544,0.00007337641,0.000005943348,0.0002144065,0.001340045],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8997283,"threshold_uncertainty_score":0.7764562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977476763","doi":"10.1017/s0269888901000200","title":"Holonic and multi-agent systems in industry","year":2001,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Key (lock); Computer science; Natural (archaeology); Autonomous agent; Face (sociological concept); Social system; Multi-agent system; Knowledge management; Computer security; Artificial intelligence; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.02607903598637315,"gpt":0.2603585350401403,"spread":0.2342794990537671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003581682,0.0001462885,0.000223579,0.00006330797,0.00002294349,0.00002361398,0.0001307174,0.00009202979,0.00001530551],"category_scores_gemma":[0.00007120847,0.0001129937,0.00002825272,0.0003845566,0.00001140911,0.00004524823,0.00002660665,0.0003837268,0.00006959046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005339012,"about_ca_system_score_gemma":0.000008091172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003547807,"about_ca_topic_score_gemma":0.000002004422,"domain_scores_codex":[0.9993808,0.0000245842,0.0002333924,0.0001108067,0.00005487164,0.0001955198],"domain_scores_gemma":[0.999644,0.00005334138,0.00001542199,0.0002055768,0.00001932843,0.00006234788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001005351,0.00004568799,0.0006888605,0.005142665,0.00005532322,0.00002417595,0.0004755651,0.9502902,0.0000678173,0.0002732188,0.0006454962,0.04228996],"study_design_scores_gemma":[0.0001890733,0.000004633232,0.001038336,0.002901866,0.00002019497,0.00005840584,0.00001651957,0.9693577,0.000007670462,6.337585e-7,0.02623571,0.00016921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02002293,0.9617919,0.01584788,0.0001219538,0.0008361404,0.0004209297,0.000001486442,0.0004231695,0.0005336075],"genre_scores_gemma":[0.5623301,0.4270778,0.008362813,0.0001148126,0.0004572268,0.0003101344,0.000009617827,0.0001671059,0.001170371],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5423072,"threshold_uncertainty_score":0.4607749,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2407055246","doi":"10.1017/s0269888915000065","title":"Computational logics and verification techniques of multi-agent commitments: survey","year":2015,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Semantics (computer science); Autonomy; Openness to experience; Knowledge management; Artificial intelligence; Programming language; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.1071827226637137,"gpt":0.320506095392577,"spread":0.2133233727288633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492304,0.00009551884,0.000188071,0.00003723957,0.00002973045,0.00001997761,0.0002997762,0.00002574025,0.000001267837],"category_scores_gemma":[0.0001850261,0.00006707732,0.00002789126,0.0002246575,0.00001599478,0.0001093892,0.00009429544,0.00005838891,0.0000179594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003930816,"about_ca_system_score_gemma":0.00002774127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001766819,"about_ca_topic_score_gemma":0.000003078593,"domain_scores_codex":[0.9992329,0.0001462494,0.0002770487,0.0001359027,0.0001239072,0.00008400043],"domain_scores_gemma":[0.9992396,0.0001273884,0.0001117345,0.0002860404,0.0001848011,0.00005047791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001863294,0.001748283,0.01546564,0.02207901,0.0004681949,0.000006475764,0.01127415,0.0189749,0.002269267,0.1125309,0.03205644,0.7831081],"study_design_scores_gemma":[0.0004542875,0.00008858023,0.06252381,0.002586154,0.00003429212,0.00001818587,0.00000915588,0.8861075,0.0006207792,0.0001142174,0.04710939,0.0003336234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001356844,0.07910583,0.9184041,0.0001440136,0.0002398137,0.0005404102,0.000004834597,0.0001132,0.00009093941],"genre_scores_gemma":[0.9044163,0.01066008,0.08438647,0.0001276665,0.00007490259,0.0001118377,0.00004601708,0.00002301519,0.0001536833],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9030595,"threshold_uncertainty_score":0.2735334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102910550","doi":"10.1017/s0269888913000283","title":"Visuo: A model of visuospatial instantiation of quantitative magnitudes","year":2013,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Python (programming language); Computer science; Artificial intelligence; Brightness; Qualitative reasoning; Cognitive psychology; Natural language processing; Psychology; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02140722942719867,"gpt":0.2619179148465781,"spread":0.2405106854193794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000229386,0.00008331339,0.0001948201,0.00005894913,0.00002064374,0.00001266874,0.000256772,0.00001997694,0.00003647452],"category_scores_gemma":[0.0001408496,0.00006068183,0.00005974788,0.0003432117,0.00002432351,0.0002439316,0.00006126588,0.00005932803,0.00002792893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001517063,"about_ca_system_score_gemma":0.00004669065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007316067,"about_ca_topic_score_gemma":0.00000270144,"domain_scores_codex":[0.9993885,0.00003429936,0.0002984319,0.00009749467,0.0001008274,0.00008047308],"domain_scores_gemma":[0.9992997,0.0001005803,0.0001276661,0.0002301726,0.0002185072,0.00002339198],"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":[0.000003409242,0.0001589831,0.000164023,0.007443481,0.0001077357,2.382483e-7,0.002965491,0.1336883,0.01920639,0.4495349,0.0006588025,0.3860682],"study_design_scores_gemma":[0.0000731987,0.00002406965,0.000939553,0.0009259774,0.00001473877,0.000001059312,0.000004191188,0.9968871,0.0007815736,0.0001670217,0.0001124507,0.00006902048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002235057,0.01086114,0.9855182,0.0002001438,0.00009232365,0.0003368167,0.000001372577,0.00005037258,0.0007045778],"genre_scores_gemma":[0.9157873,0.006295055,0.07777882,0.00003536977,0.00001123009,0.00003712795,0.000001875232,0.000009013742,0.00004416331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9135523,"threshold_uncertainty_score":0.2474533,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W170804091","doi":"10.1017/s0269888910000421","title":"Logical mechanism design","year":2011,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Mechanism design; Computer science; Mechanism (biology); Common value auction; Inference; Incentive; Voting; Set (abstract data type); Argumentation theory; Management science; Combinatorial auction; Game theory; Data science; Knowledge management; Operations research; Artificial intelligence; Mathematical economics; Engineering; Economics; Microeconomics; Epistemology; Political science; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.3240267123865289,"gpt":0.3795766507955489,"spread":0.05554993840902001,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003815753,0.0001076161,0.0002109312,0.00004217691,0.00011141,0.0000219611,0.0008141518,0.0000325452,0.001985414],"category_scores_gemma":[0.001260635,0.00005576858,0.0001059011,0.0006184754,0.00003809355,0.00007212623,0.00009088023,0.0001325178,0.005994565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000119907,"about_ca_system_score_gemma":0.00001640052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.116375e-7,"about_ca_topic_score_gemma":1.189502e-7,"domain_scores_codex":[0.9989207,0.0001824326,0.0003514992,0.0002050959,0.0001946126,0.0001456271],"domain_scores_gemma":[0.9984272,0.0007044409,0.00007498505,0.0006253282,0.00009748762,0.00007054197],"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":[0.000002736892,0.00005532932,0.000001652346,0.0000682602,0.00001328754,0.000001285525,0.0004393334,0.00005449381,0.0002505682,0.9168705,0.009028211,0.07321433],"study_design_scores_gemma":[0.000107949,0.00005751562,0.0003062813,0.0006070014,0.000080835,0.00007179131,0.00005561357,0.005678471,0.002675441,0.3741549,0.6158639,0.0003403212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001162855,0.03609647,0.9497144,0.000361094,0.0002904786,0.0004102841,0.000001115166,0.0001383377,0.01287154],"genre_scores_gemma":[0.9266161,0.01877294,0.0335518,0.001302894,0.000638354,0.0007847984,0.000002095739,0.0000722429,0.01825879],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9264998,"threshold_uncertainty_score":0.9989269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095719083","doi":"10.1017/s026988891200015x","title":"Individual evolutionary learning with many agents","year":2012,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mechanism (biology); Convergence (economics); Quadratic equation; Population; Scaling; Computer science; Artificial intelligence; Mathematical economics; Mathematics; Epistemology; Economics; Philosophy; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.09998893076512351,"gpt":0.3652426302424652,"spread":0.2652536994773417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003313359,0.0001301194,0.0002142628,0.00006026231,0.0001768341,0.00003644542,0.0006782032,0.00002582152,0.0005367787],"category_scores_gemma":[0.0008283164,0.00006918619,0.00007284951,0.0007790668,0.00004786666,0.0001826645,0.0001408001,0.0002425913,0.003412756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002172853,"about_ca_system_score_gemma":0.00002016054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.57939e-7,"about_ca_topic_score_gemma":1.651405e-7,"domain_scores_codex":[0.9987282,0.0001685737,0.0002910668,0.0001612028,0.0003824969,0.0002685237],"domain_scores_gemma":[0.9985273,0.000713932,0.00009112764,0.0004744723,0.00008501911,0.0001081402],"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":[0.00002109946,0.0006117611,0.01541382,0.001551877,0.0003194594,0.000004382032,0.007121956,0.006195596,0.0003121078,0.2946096,0.1201386,0.5536997],"study_design_scores_gemma":[0.00007410733,0.00001744425,0.03167932,0.0006458747,0.00007179501,0.00004151485,0.00005983969,0.001101794,0.00001957398,0.0004233228,0.9657087,0.0001567161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09541017,0.8102238,0.0445124,0.002417823,0.0009089054,0.001655801,0.00001532247,0.0005629822,0.04429279],"genre_scores_gemma":[0.9921759,0.002093461,0.0006852387,0.0001253841,0.0002627953,0.0001080966,0.000004934704,0.00002001508,0.004524217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8967657,"threshold_uncertainty_score":0.9973632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2136016475","doi":"10.1017/s0269888907001178","title":"Implementing logic spreadsheets in LESS","year":2007,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Spreadsheets and End-User Computing","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":"Lockheed Martin (Canada)","funders":"Defense Advanced Research Projects Agency; Small Business Innovation Research; University of Southern California","keywords":"Computer science; Business logic; Variety (cybernetics); Programming language; Logic programming; Software engineering; Knowledge representation and reasoning; Representation (politics); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.03164084203315821,"gpt":0.2938981615590844,"spread":0.2622573195259262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003357276,0.0001991779,0.0002973682,0.000112023,0.00009401415,0.00006474563,0.001174902,0.00003468734,0.00001445533],"category_scores_gemma":[0.0001355119,0.0001417438,0.00009090389,0.0008791926,0.00001225157,0.0001671873,0.0006107005,0.000253322,0.0001208138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007318037,"about_ca_system_score_gemma":0.00002529404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001517253,"about_ca_topic_score_gemma":0.0000383368,"domain_scores_codex":[0.998322,0.00004254084,0.0004694932,0.0003011771,0.0001464025,0.000718396],"domain_scores_gemma":[0.9988764,0.0002967712,0.0000744739,0.0006328758,0.00004435847,0.00007515719],"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":[0.000001174311,0.00008400643,0.0008262332,0.002285468,0.00002973587,0.00005658836,0.001328604,0.001123669,0.0003685754,0.06098815,0.001312156,0.9315956],"study_design_scores_gemma":[0.0008698368,0.0000859937,0.03255512,0.01660232,0.00006513279,0.0002393061,0.00008005813,0.3012521,0.00100429,0.0007086769,0.6449645,0.001572739],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01320562,0.2829309,0.6862301,0.0009782799,0.001376295,0.0007111811,6.653786e-7,0.0006187521,0.01394826],"genre_scores_gemma":[0.9641908,0.007774205,0.02636664,0.0007530091,0.0005782206,0.00004208014,0.000003505495,0.0000573321,0.0002341986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9509852,"threshold_uncertainty_score":0.5780144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2585469550","doi":"10.1017/s0269888916000321","title":"Inter-humanoid robot interaction with emphasis on detection: a comparison study","year":2017,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Humanoid robot; Artificial intelligence; Robot; Local binary patterns; Computer science; Cascading classifiers; Histogram; Computer vision; Robotics; False positive paradox; Feature (linguistics); Set (abstract data type); Data set; Classifier (UML); Human–computer interaction; Image (mathematics)","retraction":null,"screen_n_in":null,"score":{"opus":0.06251306093212919,"gpt":0.373419505526116,"spread":0.3109064445939868,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001143293,0.0002027541,0.0003664012,0.00006125991,0.0003590313,0.0002743075,0.001204388,0.00002361547,0.000006624472],"category_scores_gemma":[0.000221128,0.0001259057,0.00008113097,0.0001799481,0.00002264133,0.0003054724,0.0002003695,0.0002980314,0.0001342696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005847143,"about_ca_system_score_gemma":0.00001819588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001488979,"about_ca_topic_score_gemma":0.00007530142,"domain_scores_codex":[0.9989268,0.0001633261,0.0002597004,0.0003123726,0.0001433794,0.0001944212],"domain_scores_gemma":[0.9979816,0.0001955783,0.0001727788,0.001520334,0.00008039502,0.00004933604],"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":[0.00001015776,0.0002437637,0.0007843824,0.0004792374,0.00009448252,0.000009397612,0.0008994285,0.0005938017,0.00007720595,0.0002453373,0.0001533135,0.9964095],"study_design_scores_gemma":[0.003118034,0.004457688,0.1871812,0.02974032,0.0004913554,0.0003617966,0.0001793121,0.2131649,0.006877046,0.0001142889,0.5517513,0.002562751],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.015329,0.02038574,0.9569077,0.0008730159,0.002203253,0.001029527,3.919048e-7,0.0004717233,0.002799687],"genre_scores_gemma":[0.9967658,0.0006133112,0.002177562,0.00004573265,0.0001590763,0.0000919719,2.532592e-7,0.00001808501,0.0001281944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9938467,"threshold_uncertainty_score":0.5134287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3007560286","doi":"10.1017/s0269888920000107","title":"Domain adaptation-based transfer learning using adversarial networks","year":2020,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":5,"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":"Computer science; Generalization; Adversarial system; Task (project management); Reinforcement learning; Adaptation (eye); Artificial intelligence; Transfer of learning; Domain (mathematical analysis); Machine learning; Multi-task learning; Domain adaptation; Relation (database); Negative transfer; Data mining; Psychology; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03504005694670496,"gpt":0.2452532621823321,"spread":0.2102132052356271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006787262,0.0002034073,0.0002874403,0.00004128773,0.0001814219,0.00008847077,0.0006338471,0.00004794576,0.0000421383],"category_scores_gemma":[0.0001708803,0.0001635487,0.0001519682,0.0008197431,0.00002211941,0.0001851098,0.00006409967,0.0004505459,0.00009209575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004477897,"about_ca_system_score_gemma":0.00009339539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002136582,"about_ca_topic_score_gemma":6.045296e-7,"domain_scores_codex":[0.9987004,0.0002092405,0.0003273085,0.0002869812,0.0001866251,0.0002894771],"domain_scores_gemma":[0.9991907,0.0002858974,0.0000515791,0.0002574247,0.0000673262,0.0001471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003668604,0.000009408055,0.000007444045,0.0003549987,0.00001963633,0.00000426727,0.001451996,0.9664791,0.0001645258,0.007887407,0.00006205574,0.02355552],"study_design_scores_gemma":[0.0002600171,0.00002633248,0.00003080333,0.0006456671,0.00002514557,0.000003353797,0.00002095174,0.8625498,0.00001064775,0.00000758544,0.136244,0.0001756995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001907063,0.03639685,0.9608123,0.001226153,0.000329205,0.000282938,2.590911e-7,0.000341577,0.0004200467],"genre_scores_gemma":[0.859727,0.004042165,0.1305338,0.004109704,0.001242964,0.00007695743,0.00001589744,0.0001217997,0.0001296795],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8595363,"threshold_uncertainty_score":0.6669323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025447728","doi":"10.1017/s0269888913000271","title":"Parsing pictures: on analyzing the content of images in science","year":2013,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Parsing; Computer science; Focus (optics); Artificial intelligence; Conventionalism; Graph; Representation (politics); Epistemology; Natural language processing; Philosophy; Theoretical computer science; Politics","retraction":null,"screen_n_in":null,"score":{"opus":0.06572109583704921,"gpt":0.2486056684137034,"spread":0.1828845725766541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007710446,0.00008719021,0.0001635444,0.00007669663,0.0002411942,0.00005182707,0.0004915021,0.000006693187,0.0001386042],"category_scores_gemma":[0.0001648816,0.00004281948,0.00005284788,0.0001554707,0.0005908209,0.0001743759,0.00004243458,0.0001346817,0.00007776192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004124378,"about_ca_system_score_gemma":0.00002621537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003183124,"about_ca_topic_score_gemma":0.00001099045,"domain_scores_codex":[0.9993876,0.00002331761,0.0001955652,0.0001134013,0.0001200168,0.0001601132],"domain_scores_gemma":[0.9994649,0.0001271339,0.0000541679,0.0002447887,0.0000825067,0.00002655126],"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":[0.000005067703,0.0002041445,0.00005991454,0.00402619,0.00003241043,0.000002041776,0.0645822,0.0006352699,0.01765493,0.8084501,0.006391761,0.09795599],"study_design_scores_gemma":[0.00060149,0.0003900141,0.01246566,0.04722355,0.0001944083,0.00001442086,0.002388305,0.007195236,0.003846268,0.007497383,0.9169122,0.001271055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1025445,0.7160326,0.000107015,0.007739906,0.001951935,0.001586899,0.000005987464,0.0001229922,0.1699082],"genre_scores_gemma":[0.9967002,0.002573975,0.0000177972,0.0001598515,0.000120059,0.00002410813,1.425647e-7,0.000005187987,0.0003987037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9105204,"threshold_uncertainty_score":0.2176904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2100081760","doi":"10.1017/s0269888913000301","title":"Special issue on visual representations and reasoning","year":2013,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Visual and Cognitive Learning Processes","field":"Psychology","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 Toronto; Dalhousie University; University of King's College","funders":"","keywords":"Computer science; Content (measure theory); Information retrieval; Human–computer interaction; Artificial intelligence; Data science; Cognitive science; Psychology; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02086740780106482,"gpt":0.3571067062490263,"spread":0.3362392984479615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001948264,0.0001263719,0.0001766272,0.00003554528,0.00008875149,0.00003127156,0.0001107666,0.00003124198,0.003887799],"category_scores_gemma":[0.0003479543,0.00008610579,0.0000393136,0.0002144692,0.00003144636,0.00005088719,0.00004273936,0.0002125232,0.005877403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008884379,"about_ca_system_score_gemma":0.000007299358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000106253,"about_ca_topic_score_gemma":8.30658e-7,"domain_scores_codex":[0.9993386,0.00007528311,0.000153598,0.0001921103,0.00006351375,0.0001769468],"domain_scores_gemma":[0.9994434,0.0002417134,0.00003862371,0.0001545463,0.00006802087,0.0000537024],"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":[0.000005607901,0.0001081647,0.0002136578,0.001146409,0.00007987017,0.000004193873,0.002083617,0.000009531905,0.00003728509,0.007265089,0.1177207,0.8713259],"study_design_scores_gemma":[0.0001745183,0.0001127719,0.01963533,0.002778141,0.0000674761,0.00002911151,0.0001612249,0.0002510968,0.00003146808,0.00005531863,0.9764968,0.0002067787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03709602,0.2917227,0.0006618034,0.004583433,0.003488507,0.001882625,0.000004022028,0.0005258964,0.660035],"genre_scores_gemma":[0.656292,0.05175241,0.0007439686,0.004936733,0.0670976,0.002978059,0.00005068506,0.0003584612,0.2157901],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8711191,"threshold_uncertainty_score":0.9970228,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389151102","doi":"10.1017/s0269888923000103","title":"Adaptive learning with artificial barriers yielding Nash equilibria in general games","year":2023,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Optimization and Search Problems","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":"Carleton University","funders":"","keywords":"Nash equilibrium; Computer science; Reinforcement learning; Learning automata; Game theory; Fictitious play; Convergence (economics); Saddle point; Mathematical economics; Normal-form game; Repeated game; Artificial intelligence; Mathematical optimization; Mathematics; Automaton; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.02775300846611881,"gpt":0.2696783488624332,"spread":0.2419253403963144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010394,0.0001337021,0.0002145822,0.0001300703,0.00008308244,0.00007689655,0.0005045335,0.00002770068,0.00002606707],"category_scores_gemma":[0.0002720636,0.00009242191,0.00004621974,0.001589141,0.00002209452,0.0002009502,0.0002014798,0.0002899845,0.0001538335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004072264,"about_ca_system_score_gemma":0.00007943016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003013136,"about_ca_topic_score_gemma":0.000004479566,"domain_scores_codex":[0.9989544,0.0001145168,0.0002167369,0.0002292814,0.0001510749,0.0003339529],"domain_scores_gemma":[0.9993975,0.000159495,0.00003799748,0.0002651251,0.00004919851,0.00009069277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000913101,0.00002868515,0.0002599481,0.001725276,0.00007156424,0.00004991327,0.005694879,0.7400066,0.001344936,0.08854524,0.002680759,0.159583],"study_design_scores_gemma":[0.00007843601,0.00003912023,0.0001188235,0.001583101,0.000004973996,0.000005268499,0.00002628442,0.9852122,0.00005498501,0.00007448638,0.01265309,0.0001492282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0268594,0.08573989,0.8685772,0.005036002,0.00121306,0.002284632,0.000002045764,0.002759715,0.007528019],"genre_scores_gemma":[0.8980535,0.04507547,0.0463306,0.000636272,0.000790301,0.000687448,0.00001897769,0.0002005622,0.008206827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8711941,"threshold_uncertainty_score":0.3768856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141097151","doi":"10.1017/s0269888910000330","title":"A quarter-century of <i>The Knowledge Engineering Review</i> : Introduction to the Special Issue","year":2011,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","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); Content (measure theory); Computer science; Data science; World Wide Web; Engineering; History; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01543143321286659,"gpt":0.2323115362591385,"spread":0.2168801030462719,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389326,0.0002995964,0.0005365161,0.00006379475,0.0001065421,0.00002957776,0.002390358,0.00004969021,0.00008018207],"category_scores_gemma":[0.0006820262,0.0001546988,0.0002526198,0.001225792,0.00004137276,0.0001521879,0.000531238,0.00032624,0.0004499961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005844051,"about_ca_system_score_gemma":0.00005679546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005772316,"about_ca_topic_score_gemma":0.000009279371,"domain_scores_codex":[0.9983382,0.0001445146,0.0005681458,0.0003640195,0.0002041716,0.0003809262],"domain_scores_gemma":[0.9977702,0.000166351,0.0001361469,0.001697223,0.0001533677,0.00007667155],"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":[0.00000612315,0.0002410445,0.00002688372,0.02099449,0.0001570421,0.000004262996,0.009476449,0.000169596,0.0007220013,0.02601483,0.5866065,0.3555808],"study_design_scores_gemma":[0.00006997333,0.00004181113,0.0006387962,0.007211669,0.00009797564,0.00004205986,0.00001434277,0.001890866,0.00057917,0.00002101005,0.9891688,0.0002234746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002565544,0.9313226,0.03503306,0.01535902,0.01111214,0.00209589,0.000002717983,0.0003580734,0.004459955],"genre_scores_gemma":[0.06532952,0.8218926,0.02949456,0.005992882,0.07024272,0.001706963,0.000009621548,0.0003633979,0.004967737],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4025624,"threshold_uncertainty_score":0.6308434,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076329331","doi":"10.1017/s0269888914000137","title":"Trends in high-performance computing and communications for ubiquitous computing","year":2014,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Ubiquitous computing; Content (measure theory); Computer network; Telecommunications; World Wide Web; Distributed computing; Human–computer interaction; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02248110657036779,"gpt":0.2808766541632633,"spread":0.2583955475928955,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771094,0.0001904016,0.0003635035,0.0001428993,0.0002530691,0.00007754844,0.001305292,0.00003910839,3.127996e-7],"category_scores_gemma":[0.0001317462,0.000152051,0.00005811639,0.0007225111,0.0000368,0.0001300155,0.0007455897,0.0002501402,0.00001144846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004306418,"about_ca_system_score_gemma":0.0000154424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004874458,"about_ca_topic_score_gemma":0.000001490362,"domain_scores_codex":[0.9987869,0.00009315183,0.0004060557,0.0002633737,0.00007952499,0.000370994],"domain_scores_gemma":[0.9981041,0.000802904,0.00009922189,0.0008760641,0.00006166443,0.0000560438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.544314e-7,0.00002167818,0.0001349589,0.001195189,0.000009032976,1.693158e-7,0.0006386364,0.0007531244,0.00002621109,0.006408489,0.0007799356,0.9900321],"study_design_scores_gemma":[0.000203337,0.00003308436,0.004235444,0.002628649,0.0000129531,0.0000144111,0.000001312933,0.9435092,0.00002712969,0.0000536165,0.04908486,0.0001959931],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04212759,0.109492,0.8388128,0.002402598,0.004294564,0.0006617116,3.01401e-7,0.0005700616,0.001638282],"genre_scores_gemma":[0.9444044,0.00262446,0.05163723,0.0002461845,0.0009672052,0.00001996766,0.000005682952,0.00002968362,0.00006520948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9898362,"threshold_uncertainty_score":0.6200461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206212268","doi":"10.1017/s0269888910000135","title":"KER volume 25 issue 3 Cover and Front matter","year":2010,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Toronto; University of Manitoba","funders":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Content (measure theory); Action (physics); Computer science; Environmental science; Engineering; Geography; Mathematics; Physics; Meteorology; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0132797693107235,"gpt":0.2796563447024512,"spread":0.2663765753917277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006954553,0.00008466219,0.0001769856,0.00001148979,0.0002811317,0.0000348041,0.0001576804,0.00004097976,0.008207134],"category_scores_gemma":[0.0002282323,0.00006425577,0.00004526861,0.00005739201,0.0001180866,0.00006497309,0.00004480881,0.0001581379,0.01394556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003772748,"about_ca_system_score_gemma":0.00005648348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009273646,"about_ca_topic_score_gemma":0.00006570046,"domain_scores_codex":[0.9994913,0.00003505561,0.0001340335,0.000109754,0.00005373752,0.0001761375],"domain_scores_gemma":[0.9996243,0.0001179554,0.00003212126,0.0001220134,0.00003875432,0.00006483412],"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":[5.552254e-7,0.0000262494,0.003389464,0.000535692,0.00005883047,2.613762e-7,0.01702278,0.000001436684,0.00001652139,0.007988637,0.9552178,0.01574178],"study_design_scores_gemma":[0.00002550004,0.000001458544,0.01063065,0.0001449947,0.00002465601,6.525498e-7,0.000123797,0.0000210488,6.493283e-7,0.00005788368,0.9888817,0.00008701129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02156865,0.4077625,0.0002208157,0.05415036,0.006084997,0.001044811,0.00001096214,0.0001679994,0.5089889],"genre_scores_gemma":[0.3117779,0.1097322,0.0009336799,0.003858117,0.009055148,0.0002844582,0.000007117845,0.00007415549,0.5642772],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2980303,"threshold_uncertainty_score":0.9926995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214829906","doi":"10.1017/s0269888910000305","title":"KER volume 25 issue 4 Cover and Front matter","year":2010,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Toronto; University of Manitoba","funders":"","keywords":"Front cover; Front (military); Cover (algebra); Volume (thermodynamics); Content (measure theory); Action (physics); Computer science; Environmental science; Engineering; Physics; Mathematics; Mechanical engineering; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.01339865411991331,"gpt":0.2801281920429285,"spread":0.2667295379230152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006960303,0.00008466826,0.0001770286,0.00001149529,0.0002812758,0.00003482318,0.0001577999,0.00004098333,0.00806679],"category_scores_gemma":[0.0002249465,0.00006426835,0.00004527222,0.00005738446,0.0001181085,0.00006498288,0.00004482641,0.0001581329,0.01365634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003757794,"about_ca_system_score_gemma":0.00005626542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009188843,"about_ca_topic_score_gemma":0.00006597814,"domain_scores_codex":[0.9994912,0.00003505089,0.000134083,0.0001097654,0.00005373405,0.0001761581],"domain_scores_gemma":[0.9996247,0.0001181886,0.00003212661,0.0001220789,0.00003801271,0.00006483712],"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":[5.654812e-7,0.00002646452,0.00342332,0.0005354452,0.00005928288,2.643252e-7,0.01717108,0.000001426909,0.00001638537,0.008351576,0.9545643,0.01584984],"study_design_scores_gemma":[0.00002540058,0.000001484432,0.01068442,0.0001453776,0.00002485167,6.596491e-7,0.000124207,0.00002112785,6.356988e-7,0.0000584997,0.9888263,0.00008704649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02146743,0.4092118,0.0002222708,0.05405343,0.006029502,0.001045811,0.0000108586,0.0001682449,0.5077907],"genre_scores_gemma":[0.3230968,0.1109402,0.0009450116,0.003904973,0.009060508,0.0002876133,0.000007200526,0.00007495302,0.5516827],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3016294,"threshold_uncertainty_score":0.99284,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210762060","doi":"10.1017/s0269888910000111","title":"KER volume 25 issue 2 Cover and Front matter","year":2010,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Toronto; University of Manitoba","funders":"","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Content (measure theory); Action (physics); Computer science; Engineering; Physics; Mathematics; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0130231432078019,"gpt":0.2794813963161991,"spread":0.2664582531083972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006919115,0.00008464701,0.0001770112,0.00001148606,0.0002811776,0.00003480756,0.0001576929,0.00004098359,0.008258026],"category_scores_gemma":[0.0002254885,0.0000642512,0.00004526266,0.00005736843,0.0001180763,0.00006496707,0.00004483571,0.000158134,0.01364476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003758519,"about_ca_system_score_gemma":0.00005619544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009260796,"about_ca_topic_score_gemma":0.00006563812,"domain_scores_codex":[0.9994914,0.00003507822,0.0001340334,0.0001097194,0.00005371257,0.0001760853],"domain_scores_gemma":[0.9996254,0.0001173237,0.00003216165,0.000121962,0.00003831877,0.00006482974],"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":[5.381461e-7,0.00002574591,0.00321216,0.0005210435,0.00005774269,2.602444e-7,0.01670701,0.000001415341,0.00001559038,0.008025864,0.9557931,0.01563956],"study_design_scores_gemma":[0.0000253648,0.000001463632,0.01054217,0.000143754,0.0000248406,6.615985e-7,0.0001233408,0.00002091032,6.323077e-7,0.00005828737,0.9889716,0.00008697803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0210176,0.4071525,0.0002122716,0.05350732,0.005992138,0.001030988,0.00001076326,0.0001662519,0.5109102],"genre_scores_gemma":[0.3083219,0.1127765,0.0009384872,0.003922252,0.009227315,0.0002888305,0.000007390953,0.00007522196,0.5644421],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.294376,"threshold_uncertainty_score":0.9926485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4245994890","doi":"10.1017/s0269888908000064","title":"Abstracts of Recent PhDs","year":2008,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Academic Publishing and Open Access","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":"Carleton University","funders":"","keywords":"Computer science; Content (measure theory); Action (physics); Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.150572665098325,"gpt":0.3991346789482426,"spread":0.2485620138499177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005347345,0.0001285026,0.0004183286,0.00008626718,0.00007991769,0.00004528257,0.002126811,0.00005687461,0.000469256],"category_scores_gemma":[0.0108831,0.00006928976,0.0001179405,0.001210126,0.00006247142,0.0003453755,0.000213502,0.0003342521,0.000619436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002606859,"about_ca_system_score_gemma":0.00008836396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004596727,"about_ca_topic_score_gemma":8.369616e-7,"domain_scores_codex":[0.9980546,0.00009608647,0.0008158564,0.0002184615,0.0006115165,0.0002035374],"domain_scores_gemma":[0.9975529,0.001103884,0.0002413014,0.0006994255,0.0003104792,0.00009199673],"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":[0.000005248643,0.00009452399,0.0006025145,0.0007948106,0.00004656618,0.000009399081,0.0011808,0.001020749,0.0002339481,0.001990403,0.4366683,0.5573527],"study_design_scores_gemma":[0.00006838471,0.000008452291,0.005905002,0.0008224294,0.00001581436,0.00004367144,0.00001029349,0.0005501842,0.000345593,0.0002070185,0.9919114,0.0001117632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04518557,0.8159106,0.002444037,0.006171081,0.002250714,0.000763585,0.00001022852,0.0001829592,0.1270812],"genre_scores_gemma":[0.7746203,0.2183275,0.0005632917,0.0004776854,0.0004121397,0.00003146035,0.000002999886,0.00003166827,0.005532917],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7294347,"threshold_uncertainty_score":0.9974486,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}