{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"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":"0db361d27bb9","filters":{"venue":"Companion Proceedings of the Web Conference 2022"}},"results":[{"id":"W4293023455","doi":"10.1145/3487553.3524716","title":"Unsupervised Superpixel-Driven Parcel Segmentation of Remote Sensing Images Using Graph Convolutional Network","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence; Segmentation; Robustness (evolution); Graph; Ground truth; Pattern recognition (psychology); Image segmentation; Construct (python library)","authors":[{"name":"Fulin Huang","is_ca":true},{"name":"Zhicheng Yang","is_ca":false},{"name":"Hang Zhou","is_ca":false},{"name":"Du Chen","is_ca":false},{"name":"A. Wong","is_ca":false},{"name":"Yuchuan Gou","is_ca":false},{"name":"Han Mei","is_ca":false},{"name":"Jui-Hsin Lai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02934459251514067,"gpt":0.2309212726137542,"spread":0.2015766800986136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003673139,0.001122333,0.0007884616,0.001104886,0.0003737468,0.0006806802,0.00181449,0.0009602925,0.001103955],"category_scores_gemma":[0.0005789726,0.0005232572,0.000881426,0.001159129,0.0005915462,0.001163929,0.0007178437,0.001012156,0.00051606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499392,"about_ca_system_score_gemma":0.001221797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03326653,"about_ca_topic_score_gemma":0.06269734,"domain_scores_codex":[0.9997694,0.00002393481,0.000006806747,0.0001060668,0.00004392103,0.00004985675],"domain_scores_gemma":[0.9997624,0.00005328298,0.00004263752,0.00005245565,0.00006355051,0.00002574884],"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":[0.0002512767,0.0002021875,0.004217614,0.0001152601,0.0001564655,0.0001768585,0.0001361597,0.7120521,0.03198647,0.004315331,0.005462291,0.240928],"study_design_scores_gemma":[0.00000221469,0.000006504869,0.0003732569,0.000002368507,0.000005544385,0.00001127663,0.000005606376,0.9965491,0.001903399,0.0008708093,0.0002664244,0.000003423411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1190814,0.0006245712,0.8700929,0.0003311864,0.00006439161,0.0001244687,0.0007383314,0.006150397,0.00279239],"genre_scores_gemma":[0.7079933,0.0003925525,0.2819081,0.0002719204,0.0000546247,0.0001201563,0.002946481,0.0004276918,0.005885223],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03326653,"threshold_uncertainty_score":0.06614578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4301055875","doi":"10.1145/3487553.3524659","title":"Semi-automated Literature Review for Scientific Assessment of Socioeconomic Climate Change Scenarios","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Climate Change Communication and Perception","field":"Social Sciences","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 Waterloo","funders":"","keywords":"Computer science; Climate change; Scientific literature; Artificial intelligence; Citation; Data science; Multinomial logistic regression; Scientometrics; Machine learning; Systematic review; Socioeconomic status; Bibliometrics; Scopus; Support vector machine; Vocabulary; Data mining; Political science; Sociology; MEDLINE; Ecology; Library science; Linguistics","authors":[{"name":"Vanessa Schweizer","is_ca":true},{"name":"Jude Herijadi Kurniawan","is_ca":true},{"name":"A. M. Power","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.250506218709045,"gpt":0.4215341113535383,"spread":0.1710278926444933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08790433,0.001142679,0.001988911,0.06058126,0.002834726,0.007063932,0.003130447,0.001412179,0.007828549],"category_scores_gemma":[0.2005927,0.0008288517,0.002829105,0.02906434,0.001135722,0.00736281,0.004654113,0.001273116,0.00265506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003055084,"about_ca_system_score_gemma":0.02056015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003620812,"about_ca_topic_score_gemma":0.01133731,"domain_scores_codex":[0.9229702,0.04650833,0.01426616,0.00436179,0.01123741,0.0006559681],"domain_scores_gemma":[0.6249957,0.2454495,0.04031812,0.01998223,0.06650607,0.002748508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004043523,0.0002095473,0.008993885,0.03653095,0.0009215869,0.0007175567,0.004156987,0.005635099,0.00652374,0.01348333,0.03815286,0.8842702],"study_design_scores_gemma":[0.0009976751,0.0009931991,0.04899409,0.03572458,0.004599214,0.001724425,0.01437525,0.1186495,0.02540812,0.1619956,0.5854405,0.001097853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1152077,0.08931612,0.6553684,0.01737605,0.002092763,0.03215936,0.04161517,0.009594751,0.03726971],"genre_scores_gemma":[0.1649105,0.01110414,0.7932751,0.0009866353,0.0005392192,0.01151319,0.01529124,0.0002236354,0.002156312],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08790433,"threshold_uncertainty_score":0.4648881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4301135710","doi":"10.1145/3487553.3524263","title":"VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"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; Visualization; Identification (biology); Cluster (spacecraft); Domain (mathematical analysis); Data science; Space (punctuation); Task (project management); Data visualization; Data mining; Human–computer interaction; Engineering","authors":[{"name":"Pratheeksha Nair","is_ca":true},{"name":"Yifei Li","is_ca":false},{"name":"Catalina Vajiac","is_ca":false},{"name":"Andreas Olligschlaeger","is_ca":false},{"name":"Meng-Chieh Lee","is_ca":false},{"name":"Namyong Park","is_ca":false},{"name":"Duen Horng Chau","is_ca":false},{"name":"Christos Faloutsos","is_ca":false},{"name":"Reihaneh Rabbany","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1212321738991849,"gpt":0.3699951522064527,"spread":0.2487629783072678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930264,0.002073382,0.0009893483,0.006203267,0.000703207,0.004276765,0.001680819,0.001185318,0.02167698],"category_scores_gemma":[0.008264509,0.0006933491,0.001308276,0.00378062,0.0005435883,0.003057596,0.003954342,0.001934457,0.004625705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000636347,"about_ca_system_score_gemma":0.001036277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003954919,"about_ca_topic_score_gemma":0.007436745,"domain_scores_codex":[0.9991463,0.0002305771,0.0000815687,0.0001855188,0.0002831345,0.00007280278],"domain_scores_gemma":[0.9946286,0.00353803,0.000336455,0.0007599817,0.0004518234,0.0002850532],"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":[0.0023185,0.0004967904,0.01479395,0.003033078,0.0007210487,0.001100744,0.003086688,0.0150391,0.02322851,0.01936775,0.3637975,0.5530164],"study_design_scores_gemma":[0.00063399,0.0006147,0.01921946,0.001130233,0.000318889,0.001816366,0.002721664,0.4348934,0.04290811,0.08734248,0.4080733,0.0003273825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03903843,0.002490507,0.5742741,0.002728255,0.0005439516,0.0004357447,0.06147524,0.307192,0.01182174],"genre_scores_gemma":[0.1480015,0.001956481,0.7869462,0.000655482,0.0001746431,0.0008140691,0.04423711,0.0097201,0.00749434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02167698,"threshold_uncertainty_score":0.07251674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4293261811","doi":"10.1145/3487553.3524872","title":"MAISoN’22: 8th International Workshop on Mining Actionable Insights from Social Networks Special Edition on Mental Health and Social Media","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; University of Ottawa; Toronto Metropolitan University","funders":"","keywords":"Social media; Mental health; Data science; Focus (optics); Computer science; Social network analysis; Coronavirus disease 2019 (COVID-19); World Wide Web; Psychology; Medicine; Psychiatry","authors":[{"name":"Ebrahim Bagheri","is_ca":true},{"name":"Diana Inkpen","is_ca":true},{"name":"Christopher C. Yang","is_ca":false},{"name":"Fattane Zarrinkalam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04448717615415377,"gpt":0.2826186401625389,"spread":0.2381314640083851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02345648,0.002400132,0.003126235,0.009257642,0.002522463,0.01508305,0.004451819,0.004738559,0.01688063],"category_scores_gemma":[0.05249151,0.001563487,0.005733744,0.007340807,0.002911103,0.01378741,0.01055188,0.007946301,0.0069009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320404,"about_ca_system_score_gemma":0.005304171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007335768,"about_ca_topic_score_gemma":0.01542269,"domain_scores_codex":[0.9824079,0.009159261,0.001113837,0.00275097,0.003819111,0.0007488986],"domain_scores_gemma":[0.9318362,0.04993396,0.001460137,0.007376546,0.005455439,0.003937681],"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":[0.0003155342,0.0005051892,0.005574685,0.002411468,0.0007694631,0.0008987258,0.003678763,0.003758051,0.002408914,0.02653218,0.4804378,0.4727091],"study_design_scores_gemma":[0.00004677915,0.0001462495,0.007239226,0.002288888,0.0001229614,0.0006009637,0.002872866,0.01242518,0.001549154,0.04717392,0.9253755,0.0001583035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02806104,0.1641807,0.4966557,0.1302173,0.05289058,0.003052966,0.05569427,0.01100073,0.05824681],"genre_scores_gemma":[0.07805009,0.08421475,0.5478685,0.01829714,0.02053952,0.003488464,0.1261858,0.004296428,0.1170592],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02345648,"threshold_uncertainty_score":0.1240512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4293024028","doi":"10.1145/3487553.3524703","title":"Biomedical Word Sense Disambiguation with Contextualized Representation Learning","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Topic Modeling","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":"Dalhousie University","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; SemEval; Word (group theory); Representation (politics); Knowledge base; Context (archaeology); Novelty; Meaning (existential); Task (project management); Linguistics","authors":[{"name":"Mozhgan Saeidi","is_ca":true},{"name":"Evangelos Milios","is_ca":true},{"name":"Norbert Zeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03244452527112487,"gpt":0.2590895206372182,"spread":0.2266449953660933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743976,0.001412667,0.001269492,0.005011525,0.0007506172,0.001689185,0.001403676,0.001472082,0.002036633],"category_scores_gemma":[0.00686886,0.0004359615,0.001987842,0.004748489,0.0008229469,0.003691229,0.002949344,0.001565171,0.001484192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989405,"about_ca_system_score_gemma":0.001560386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714627,"about_ca_topic_score_gemma":0.002678615,"domain_scores_codex":[0.9977488,0.0007186003,0.0002479552,0.0008347162,0.0003268657,0.0001230092],"domain_scores_gemma":[0.9981002,0.0008819738,0.000220977,0.000432674,0.0002990321,0.00006521499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002653572,0.0002108013,0.001850305,0.0006221392,0.0003332953,0.000404102,0.0007248605,0.04609648,0.0124273,0.02781718,0.0156685,0.8935798],"study_design_scores_gemma":[0.0001173611,0.0002293078,0.001941406,0.0002589011,0.0003434265,0.000741285,0.0006469955,0.7006834,0.01700706,0.2351563,0.04272318,0.0001513454],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009732408,0.002045209,0.9823149,0.0004520378,0.000238645,0.0001313431,0.000739966,0.003069445,0.001276005],"genre_scores_gemma":[0.2117255,0.001965746,0.7787357,0.0006193603,0.0004761207,0.0004193488,0.00428039,0.0002886766,0.001489087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005011525,"threshold_uncertainty_score":0.009223104,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4302810357","doi":"10.1145/3487553.3524875","title":"The International Workshop on Semantics-enabled Biomedical Literature Analytics (SeBiLAn)","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Citation; Commonwealth; Analytics; Library science; Computer science; World Wide Web; Data science; History; Archaeology","authors":[{"name":"Faezeh Ensan","is_ca":true},{"name":"Halil Kilicoglu","is_ca":false},{"name":"Bridget T. McInnes","is_ca":false},{"name":"Lucy Lu Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01940018326463586,"gpt":0.2592494292537504,"spread":0.2398492459891146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01695342,0.001625348,0.002028995,0.009006816,0.001854967,0.01069715,0.00291797,0.002542019,0.05983293],"category_scores_gemma":[0.028457,0.0009959157,0.002962205,0.007753758,0.001961729,0.01573495,0.01262292,0.004018726,0.04117181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330701,"about_ca_system_score_gemma":0.007988713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003652544,"about_ca_topic_score_gemma":0.00547936,"domain_scores_codex":[0.9895336,0.004219769,0.001084741,0.00172896,0.00287745,0.000555469],"domain_scores_gemma":[0.9814858,0.008175693,0.0004336332,0.004022478,0.003820167,0.002062317],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002498324,0.000276015,0.0007016459,0.001547694,0.0001729288,0.0002972781,0.0008747169,0.001508374,0.003425848,0.0507867,0.4846264,0.4555326],"study_design_scores_gemma":[0.00002915295,0.00004211739,0.0006680844,0.0008164168,0.00004133157,0.0002502886,0.0003690294,0.005878672,0.001357158,0.06381131,0.9267017,0.00003466485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008938194,0.07641731,0.6177657,0.07144359,0.02920613,0.001665727,0.03585255,0.02727211,0.1314387],"genre_scores_gemma":[0.04235183,0.04956493,0.5891148,0.01679012,0.0059775,0.001743898,0.1285831,0.007062052,0.1588119],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9909932,"threshold_uncertainty_score":0.2001611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4298208986","doi":"10.1145/3487553.3547182","title":"Accepted Tutorials at The Web Conference 2022","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Educational Technology and Assessment","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":"Université de Montréal","funders":"","keywords":"Computer science; World Wide Web; Multimedia; Style (visual arts); Art; Visual arts","authors":[{"name":"Riccardo Tommasini","is_ca":false},{"name":"Senjuti Basu Roy","is_ca":false},{"name":"Xuan Wang","is_ca":false},{"name":"Hongwei Wang","is_ca":false},{"name":"Heng Ji","is_ca":false},{"name":"Jiawei Han","is_ca":false},{"name":"Preslav Nakov","is_ca":false},{"name":"Giovanni Da San Martino","is_ca":false},{"name":"Firoj Alam","is_ca":false},{"name":"Markus Schedl","is_ca":false},{"name":"Elisabeth Lex","is_ca":false},{"name":"Akash Bharadwaj","is_ca":false},{"name":"Graham Cormode","is_ca":false},{"name":"Milan Dojchinovski","is_ca":false},{"name":"Jan Forberg","is_ca":false},{"name":"Johannes Frey","is_ca":false},{"name":"Pieter Bonte","is_ca":false},{"name":"Marco Balduini","is_ca":false},{"name":"Matteo Belcao","is_ca":false},{"name":"Emanuele Della Valle","is_ca":false},{"name":"Junliang Yu","is_ca":false},{"name":"Hongzhi Yin","is_ca":false},{"name":"Tong Chen","is_ca":false},{"name":"Haochen Liu","is_ca":false},{"name":"Yiqi Wang","is_ca":false},{"name":"Wenqi Fan","is_ca":false},{"name":"Xiaorui Liu","is_ca":false},{"name":"Jamell Dacon","is_ca":false},{"name":"Lingjuan Lye","is_ca":false},{"name":"Jiliang Tang","is_ca":false},{"name":"Aristides Gionis","is_ca":false},{"name":"Stefan Neumann","is_ca":false},{"name":"Bruno Ordozgoiti","is_ca":false},{"name":"Simon Razniewski","is_ca":false},{"name":"Hiba Arnaout","is_ca":false},{"name":"Shrestha Ghosh","is_ca":false},{"name":"Fabian M. Suchanek","is_ca":false},{"name":"Lingfei Wu","is_ca":false},{"name":"Yu Chen","is_ca":false},{"name":"Yunyao Li","is_ca":false},{"name":"Bang Liu","is_ca":true},{"name":"Filip Ilievski","is_ca":false},{"name":"Daniel Garijo","is_ca":false},{"name":"Hans Chalupsky","is_ca":false},{"name":"Pedro Szekely","is_ca":false},{"name":"Ilias Kanellos","is_ca":false},{"name":"Dimitris Sacharidis","is_ca":false},{"name":"Thanasis Vergoulis","is_ca":false},{"name":"Nurendra Choudhary","is_ca":false},{"name":"Nikhil Rao","is_ca":false},{"name":"Karthik Subbian","is_ca":false},{"name":"Srinivasan H. Sengamedu","is_ca":false},{"name":"Chandan K. Reddy","is_ca":false},{"name":"Friedhelm Victor","is_ca":false},{"name":"Bernhard Haslhofer","is_ca":false},{"name":"George Katsogiannis- Meimarakis","is_ca":false},{"name":"Georgia Koutrika","is_ca":false},{"name":"Shengmin Jin","is_ca":false},{"name":"Danai Koutra","is_ca":false},{"name":"Reza Zafarani","is_ca":false},{"name":"Yulia Tsvetkov","is_ca":false},{"name":"Vidhisha Balachandran","is_ca":false},{"name":"Sachin Kumar","is_ca":false},{"name":"Xiangyu Zhao","is_ca":false},{"name":"Bo Chen","is_ca":false},{"name":"Huifeng Guo","is_ca":false},{"name":"Yejing Wang","is_ca":false},{"name":"Ruiming Tang","is_ca":false},{"name":"Yang Zhang","is_ca":false},{"name":"Wenjie Wang","is_ca":false},{"name":"Peng Wu","is_ca":false},{"name":"Fuli Feng","is_ca":false},{"name":"Xiangnan He","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0293555840942081,"gpt":0.270809842026646,"spread":0.2414542579324379,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002793116,0.001449726,0.0007511961,0.002534837,0.001451905,0.00574502,0.001149103,0.00174572,0.2424728],"category_scores_gemma":[0.005501056,0.0002739705,0.0007162573,0.001408986,0.0003048538,0.001977857,0.003089687,0.002098165,0.1619215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118998,"about_ca_system_score_gemma":0.001809284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085666,"about_ca_topic_score_gemma":0.004631914,"domain_scores_codex":[0.9975759,0.0003397654,0.00009322989,0.0002271287,0.00127097,0.000492912],"domain_scores_gemma":[0.9930146,0.0003816835,0.0001743669,0.0001741125,0.002963998,0.003291163],"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":[0.000147024,0.0001682105,0.000410691,0.0001700232,0.00001016781,0.0001649377,0.0000910558,0.0001235616,0.001715072,0.0006857484,0.9086818,0.08763169],"study_design_scores_gemma":[0.00002450122,0.0001568402,0.002642181,0.0001126955,0.000009478059,0.0001777681,0.0001493813,0.0002538298,0.0007437269,0.0004796303,0.995229,0.00002101131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02721756,0.01872215,0.0170901,0.01900651,0.1873417,0.001051262,0.006091388,0.007718577,0.7157608],"genre_scores_gemma":[0.02098244,0.004067507,0.003513033,0.002690799,0.02112523,0.0003093517,0.006101136,0.001602072,0.9396085],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2424728,"threshold_uncertainty_score":0.8111525,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}