{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"55a6ee9ff08d","filters":{"venue":"ACM/IMS Transactions on Data Science"}},"results":[{"id":"W3033527224","doi":"10.1145/3385188","title":"Asterisk","year":2020,"lang":"en","type":"article","venue":"ACM/IMS Transactions on Data Science","topic":"Machine Learning and Algorithms","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":"IBM (Canada); University of Alberta","funders":"","keywords":"Computer science; Heuristics; Quality (philosophy); Machine learning; Preprocessor; Process (computing); Artificial intelligence; Annotation; IBM; Data mining","authors":[{"name":"Mona Nashaat","is_ca":true},{"name":"Aindrila Ghosh","is_ca":true},{"name":"James Miller","is_ca":true},{"name":"Shaikh Quader","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.076600776069982,"gpt":0.3117897892712219,"spread":0.2351890132012399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003266583,0.001540613,0.001286509,0.003518873,0.002729474,0.008265748,0.004449442,0.003780623,0.5137476],"category_scores_gemma":[0.0220295,0.0009966356,0.001101912,0.005846728,0.001477094,0.007292263,0.005289281,0.003207157,0.4963526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730884,"about_ca_system_score_gemma":0.003572186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330881,"about_ca_topic_score_gemma":0.002388651,"domain_scores_codex":[0.995936,0.0007677196,0.0006290458,0.001027901,0.001299719,0.0003396411],"domain_scores_gemma":[0.9803602,0.004138392,0.001700383,0.007390639,0.005592095,0.0008182204],"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":[0.0002189175,0.00004645393,0.0005737723,0.0004344975,0.00001536399,0.00026431,0.0001568375,0.0003963447,0.001530788,0.01795686,0.8848882,0.09351762],"study_design_scores_gemma":[0.00002289421,0.00001371846,0.000269844,0.0001169791,0.000005146172,0.0002122727,0.00009658119,0.0006573405,0.001319498,0.006429647,0.9908386,0.00001740269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004295618,0.001884278,0.1743935,0.01702916,0.0230438,0.001299957,0.1106743,0.06868587,0.5986935],"genre_scores_gemma":[0.03417986,0.003172728,0.1986716,0.007877329,0.003436621,0.001105472,0.1910866,0.02308882,0.537381],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4862524,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3161168558","doi":"10.1145/3447541","title":"TabReformer: Unsupervised Representation Learning for Erroneous Data Detection","year":2021,"lang":"en","type":"article","venue":"ACM/IMS Transactions on Data Science","topic":"Imbalanced Data Classification Techniques","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":"IBM (Canada); University of Alberta","funders":"","keywords":"Computer science; Pipeline (software); Range (aeronautics); Representation (politics); Encoder; Probabilistic logic; Artificial intelligence; Tuple; Machine learning; External Data Representation; Mixture model; Task (project management); Data mining; Mathematics","authors":[{"name":"Mona Nashaat","is_ca":true},{"name":"Aindrila Ghosh","is_ca":true},{"name":"James Miller","is_ca":true},{"name":"Shaikh Quader","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1334307593239981,"gpt":0.3654867943384096,"spread":0.2320560350144115,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00269111,0.001338262,0.001084381,0.001651764,0.0004410109,0.0014699,0.003412914,0.001390923,0.00364527],"category_scores_gemma":[0.01049024,0.0004717833,0.001041168,0.001660149,0.0006963309,0.003231169,0.002346288,0.002102145,0.002520682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008966124,"about_ca_system_score_gemma":0.00153505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736615,"about_ca_topic_score_gemma":0.005197323,"domain_scores_codex":[0.9986287,0.0003145168,0.00009495452,0.0004146288,0.0004180984,0.000129053],"domain_scores_gemma":[0.9965827,0.001189805,0.0003077326,0.001176867,0.0006621355,0.00008089797],"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":[0.0003664786,0.0002451871,0.004091773,0.0002588769,0.0001069777,0.0001593887,0.0002345342,0.06896214,0.008176684,0.005796449,0.0292989,0.8823026],"study_design_scores_gemma":[0.00002379862,0.00009487145,0.0005705663,0.00004297548,0.00002684246,0.0001111984,0.00005546673,0.9718132,0.01283342,0.009405375,0.004997239,0.00002497158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02080682,0.0006514707,0.9493197,0.0003738153,0.0001516006,0.000173427,0.001584687,0.02579315,0.001145361],"genre_scores_gemma":[0.3250497,0.0005654745,0.656737,0.000762548,0.0001255237,0.000555262,0.008846264,0.001477664,0.005880588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003736615,"threshold_uncertainty_score":0.0142321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041355115","doi":"10.1145/3385191","title":"Interval-based Queries over Lossy IoT Event Streams","year":2020,"lang":"en","type":"article","venue":"ACM/IMS Transactions on Data Science","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Computer science; Event (particle physics); Timestamp; Probabilistic logic; Interval (graph theory); Sequence (biology); Data mining; Theoretical computer science; Real-time computing; Artificial intelligence; Mathematics","authors":[{"name":"Nimrod Busany","is_ca":false},{"name":"Han van der Aa","is_ca":false},{"name":"Arik Senderovich","is_ca":true},{"name":"Avigdor Gal","is_ca":false},{"name":"Matthias Weidlich","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06056157224516586,"gpt":0.318393266819087,"spread":0.2578316945739211,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003190875,0.001069583,0.00126458,0.001789895,0.000631556,0.002794968,0.002218131,0.0009508767,0.002064454],"category_scores_gemma":[0.02186581,0.0005214424,0.0009655834,0.00209058,0.0007505575,0.004255876,0.002205857,0.001213748,0.0004342054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280136,"about_ca_system_score_gemma":0.001086777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713964,"about_ca_topic_score_gemma":0.003514735,"domain_scores_codex":[0.9943544,0.001104613,0.0005979107,0.0009768705,0.002689871,0.0002763823],"domain_scores_gemma":[0.9877256,0.008600642,0.001051293,0.00094936,0.001289405,0.0003837476],"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":[0.001241384,0.0002836111,0.01098038,0.0004113366,0.0002159897,0.0007507073,0.000669252,0.7686852,0.009431635,0.03825518,0.005619794,0.1634556],"study_design_scores_gemma":[0.00001651553,0.00002885446,0.0003067041,0.000008586156,0.000008382253,0.00007582313,0.00006816546,0.9804153,0.001855353,0.01643759,0.0007707669,0.000007852275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08135834,0.0004219951,0.9110293,0.0003474681,0.00005493389,0.0002393791,0.001504517,0.003423848,0.001620263],"genre_scores_gemma":[0.7574925,0.0003050052,0.2378296,0.0001442989,0.0001087609,0.000215013,0.002583135,0.000319632,0.001002144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003713964,"threshold_uncertainty_score":0.01687515,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4211105203","doi":"10.1145/3491255","title":"Quantized Tensor Neural Network","year":2021,"lang":"en","type":"article","venue":"ACM/IMS Transactions on Data Science","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Tensor (intrinsic definition); Artificial neural network; Computer science; Artificial intelligence; Deep learning; Machine learning; Mathematics","authors":[{"name":"Yuan Gao","is_ca":false},{"name":"Laurence T. Yang","is_ca":true},{"name":"Dehua Zheng","is_ca":false},{"name":"Jing Yang","is_ca":false},{"name":"Yaliang Zhao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1596832134277979,"gpt":0.3908336471541423,"spread":0.2311504337263444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000941498,0.001001766,0.001036985,0.000915285,0.0005275289,0.001542413,0.001470547,0.0008061869,0.003369604],"category_scores_gemma":[0.003781191,0.0003702943,0.0007642171,0.001598405,0.0009785201,0.002799165,0.001016082,0.00159089,0.0009091097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518436,"about_ca_system_score_gemma":0.001585182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081475,"about_ca_topic_score_gemma":0.009619813,"domain_scores_codex":[0.99922,0.0001954445,0.00006031813,0.0001842754,0.0002406991,0.00009920169],"domain_scores_gemma":[0.9989244,0.0002656877,0.0001400886,0.0001848392,0.0004213042,0.00006364147],"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":[0.0002368034,0.0000666228,0.002029334,0.000421147,0.0001400888,0.0001770196,0.0001157417,0.6294147,0.008666501,0.1285865,0.01451589,0.2156296],"study_design_scores_gemma":[0.000004601417,0.0000163509,0.0001522731,0.0000112436,0.00001000736,0.0000274747,0.000009223749,0.9774968,0.0009005675,0.01901393,0.002346766,0.00001079801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009297315,0.001207683,0.9838676,0.0004570186,0.0002909926,0.00004779738,0.0004946831,0.001022048,0.003314793],"genre_scores_gemma":[0.5405702,0.003401454,0.4428626,0.0004597432,0.0003803834,0.0002147541,0.001968746,0.0002874761,0.00985472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01081475,"threshold_uncertainty_score":0.02150363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}